Nouveaux Matériaux, Systèmes Intelligents et Entreprises Innovantes

@article{wang_3132,

title = {Determining the equilibrium efficient frontier by proportional frontier shifting for data envelopment analysis with fixed-sum outputs},

author = {Weijiao Wang and Fei Xu and Junfei Chu and Yanhua Dong and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0305048324001397?via%3Dihub},

year  = {2025},

date = {2025-01-01},

journal = {Omega-International Journal Of Management Science},

volume = {130},

pages = {103174},

abstract = {The equilibrium efficient frontier data envelopment analysis (EEFDEA) has been extensively used to evaluate efficiencies of the decision-making units (DMUs) with fixed-sum outputs. This study develops a new EEFDEA approach based on a proportional frontier-shifting strategy. Our approach applies an iterative procedure to find the equilibrium efficient frontier (EEF). Each iteration uses a proportional frontier-shifting model to improve an inefficient DMU to the efficient frontier by increasing its fixed-sum outputs. Meanwhile, the DMUs on the efficient frontier decrease fixed-sum outputs proportionally to ensure the total fixed-sum outputs are unchanged. Our theoretical developments show that the proportional frontier-shifting strategy is feasible and can finally obtain a unique EEF. The new approach allows DMUs to use their preferred input and output weights when determining the EEF. This generates an EEF that better aligns with real-world practices and avoids the need to construct it as a single hyperplane, as required by conventional EEFDEA methods. It also avoids unfair adjustments in fixed-sum outputs among the DMUs and eliminates the problem of peculiar efficiency evaluation results (i.e., some DMUs obtain extremely high, or infinity, efficiencies). Finally, we apply our approach to a case study of Chinese vehicle industry companies to demonstrate its usefulness and compare it with the previous representative approach.},

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}

@article{zhang_3170,

title = {Robotic warehouse systems considering dynamic priority},

author = {Zhengmin Zhang and Yeming Gong and Zhe Yuan and Wanying Chen},

url = {https://www.sciencedirect.com/science/article/pii/S1366554524003703?via%3Dihub},

year  = {2024},

date = {2024-12-01},

journal = {Transportation Research Part E-Logistics And Transportation Review},

volume = {192},

pages = {103779},

abstract = {The research proposes a new methodological framework based on dynamic priority to handle different order classes in robotic warehouse systems. Traditional static priority methods in facility logistics may cause low-priority orders to experience excessive delays and fail to ensure fairness. Our dynamic priority approach addresses this fairness issue by adjusting priorities over time to fulfill orders within promised times, ensuring both high-priority orders and long-waiting low-priority orders receive timely attention. We present stochastic models of dynamic priority queueing networks to describe warehouse systems and estimate throughput times. Experiments validate the analytical stochastic models, and experimental results indicate that the dynamic priority model achieves shorter delay times than the static priority model and the FCFS model. We propose design insights based on experimental results and provide an approach to select the optimal robot number. Furthermore, by employing a fairness index, we develop a new decision support tool for determining warehouse configurations with requested performance objectives. Experimental results demonstrate that dynamic priority can ensure fairness across a wider range of scenarios. Additionally, with insufficient pickers, the system performs better with the put wall than without it.},

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}

@article{chaabene_3194,

title = {Experimental Investigation of the Influence of Process Parameters on the Mechanical Properties of Maraging Steel Produced by Electron Beam Melting},

author = {Ameni Chaabene and Slim Ben Elechi and Sami Chatti and Mohamed Guerich and Ated Ben Khalifa},

url = {https://link.springer.com/journal/170},

year  = {2024},

date = {2024-12-01},

journal = {International Journal Of Advanced Manufacturing Technology},

volume = {135},

pages = {3865-3882},

abstract = {Maraging steels are used in industries that require high precision due to their exceptional mechanical properties. This paper

presents the impact of ten process parameters on the mechanical properties of maraging steel produced via electron beam

melting (EBM). The parameters studied here include printing orientation, scanning speed, beam power, beam diameter,

line offset, layer thickness, scan strategy, number of contours, preheating temperature, and post-processing. The mechanical

properties evaluated are tensile strength, strain at fracture, elongation at failure, energy density, material hardness, porosity,

and surface morphology. The results showed a significant correlation between these mechanical properties and the EBM

parameters. The highest ultimate tensile stress, determined from the tensile test, was recorded at 1491.51 MPa, corresponding

to an energy density of 64.28 J/mm3. The optimal parameters were identified as a line offset of 0.1 mm, a layer thickness

of 50 ?m, a scanning speed of 2800 mm/s, and a beam power of 15 mA. The energy density during EBM in turn affected

microstructure, porosity, and mechanical properties. Furthermore, the study revealed that aging heat treatment had a considerable

impact on the mechanical properties, with the highest tensile strength observed for a sample that had undergone

aging at 460 °C for 8 h. The results show the critical role of process parameters and aging heat treatment in achieving optimal

mechanical properties in EBM-produced maraging steel M789. These findings contribute to the optimization of this

manufacturing technique for industrial applications.},

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@article{kadri_3203,

title = {Virtual reality in medical education: Effectiveness of Immersive Virtual Anatomy Laboratory (IVAL) Compared to traditional learning approaches},

author = {Mohammed Kadri and Fatima Ezzahra Boubakri and Timothy Teo and Fatima Zahra Kaghat and Ahmed Azough and Khalid Alaoui Zidani},

url = {https://www.sciencedirect.com/science/article/pii/S0141938224002348?via%3Dihub},

year  = {2024},

date = {2024-12-01},

journal = {Displays},

volume = {85},

number = {-},

pages = {102870},

abstract = {Immersive Virtual Anatomy Laboratory (IVAL) is an innovative learning tool that combines virtual reality and serious games elements to enhance anatomy education. This experimental study compares IVAL with traditional learning methods in terms of educational effectiveness and user acceptance. An experimental design was implemented with 120 undergraduate health-science students, randomly assigned to two groups: an experimental group using IVAL, and a control group following traditional learning methods. Data collection focused on quantitative measures such as pretest and posttest vocabulary assessment scores and task completion times, alongside qualitative measures obtained through a user experience questionnaire. This study utilizes the Technology Acceptance Model (TAM), incorporating variables such as Perceived Usefulness and Perceived Ease of Use. Results revealed significant improvements in the experimental group, with a 55.95% increase in vocabulary scores and an 18.75% reduction in task completion times compared to the control group. Qualitative data indicated that IVAL users reported greater Perceived Usefulness of the technology, improved Perceived Ease of Use, a more positive Attitude Toward Using IVAL, and stronger Behavioral Intention to continue using IVAL for anatomy learning. This study demonstrates that the integration of immersive virtual reality in the IVAL approach offers a promising method to enhance anatomy education. The findings provide insights into the effectiveness of immersive learning environments in improving learning outcomes and user acceptance. While further research is needed to explore long-term effects, this innovative approach not only enhances the effectiveness and enjoyment of anatomy learning but also provides valuable data on optimizing educational technology for improved learning outcomes.},

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@article{meng_3010,

title = {Consensus adjustment for multi-attribute group decision making based on cross-allocation},

author = {Fan-Yong Meng and Deng-Yu Zhao and Zai-Wu Gong and Jun-Fei Chu and Witold Pedrycz and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0377221724003400},

year  = {2024},

date = {2024-10-01},

journal = {European Journal Of Operational Research},

volume = {318},

number = {1},

pages = {200-216},

abstract = {Consensus adjustment is crucial in group decision making (GDM), aiming to reduce discrepancies in decision makers' (DMs') judgments for final decision results. The consensus adjustments made by DMs are interactive rather than independent. However, few studies investigate the consensus adjustment problem from the perspective of interactions among DMs. This study first constructs a model to determine the total minimum consensus adjustment under the requirements of consensus threshold and individual-collective judgment bias. Then, a consensus adjustment approach based on cross-allocation scheme is proposed to address the inconsistency between individual and collective minimum adjustments, which concerns all DMs' individual favorable allocation results under the total minimum consensus adjustment. The cross-allocation scheme ensures unanimous support for the same allocation result among all rational DMs, thereby eliminating the discrepancies among them. Subsequently, the optimization model-based minimum consensus judgment penalty is formulated to handle the non-cooperative behaviors of DMs. Furthermore, we show how to determine the unique consensus adjustment result for the non-cooperative DMs using the cross-allocation scheme. Therefore, our study contributes by developing a new GDM method that conducts consensus adjustment allocation by considering interactions among DMs. Finally, a case study is employed to demonstrate the specific application of the new method and discuss its efficiency. Meanwhile, comparison analysis and simulation experiments are provided.},

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@article{sun_3024,

title = {LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation},

author = {Danyang Sun and Fadi Dornaika and Jinan Charafeddine},

url = {https://pdf.sciencedirectassets.com/272144/1-s2.0-S1566253524X00068/1-s2.0-S1566253524002628/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEBcaCXVzLWVhc3QtMSJHMEUCIB%2Bm2yVgKP%2BTa1w1tSg%2FydrF%2Fvb0NtGUi2OtE0dCfm5ZAiEAvS5zznXIlJGGqU0uDk6urwemR%2FjBXI8flOEVsv%2Bqi7MqvAUIj%2F%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAFGgwwNTkwMDM1NDY4NjUiDGlNeMR%2BKpLBIx%2FJkiqQBUxi37rUay01aPHdPyUjlEmZScIOm09oNOKMm2j4kAJ%2BBXu4xZ6ts%2FYVWeKloZ9bKO688mVLpZYW96XCoW8DS9E%2FGvhCoLNFgFEV35VB1ai8O7M21%2BlU%2Br8%2FcPbj77ypLNC%2BKDWJV0NPrB1DKOvao6ZpbspbrdK4kPspEAzZ%2FVkFT%2FKiopgMXf6iniq2tANtPaizXkk%2BZaNSAGIFt9OmCXMk6H7VYJALKEF4ZJm9kBslRj5nE5Y6edtx2JSSptvlujKMXhJbwjIiUiX7Ui1B4pUWDVtzmLpVcElBM78VwS0H8TKlHXBl5pyVDCym%2Fp2r%2BZbZdJWW6ZWgrqb26Dqc%2F22RSCtts8Lm%2Fs8vSHEc2cfI2mYpPSj5gL51yaDqoZyA9JcEBsQRAecvv%2F8RkbvtzMzuNBRjn4V8HoQR137Q2pYM%2FJgAly5tkgk5KS8JB2jb%2BaTA88ZJLx6YSDeqJdX2PXwyB1XvrrRy8oUgMmff8s2zVgT1f1dX5iPmZ1jtYEVu40cdvJ88ac8j4zAfWQPmBb%2FvfXWd%2BDVOp7h8ftVwQnI7bLDlFBXbhH3oVb%2FFpJ3Bw3DFakM7j%2FSOVug7DP8dC9h8Dj2oIOW8C4QAgdCeHaDRMfh2F7VZjw3FZf3i631%2BAdBp8r4d4XkYeREmbmiovEoVWBBHoYD6RTIK9lp37AmDnhFSAMr2LEmzG2NypUQ3Hwb7zLu4thOxdGz5MBApBAh44ukY8YuN1ufa38eyKRtCUO%2Fxd2kuIIJ2LVXa3bQYug5Lx%2B9KIKhgqxCrwptvf8OaxtQ5FoYhuqNU0pL1Chohou2d1vld8RViOconvLl0VWMsZ5YyP9ZxaM0xtzdz9jZQUUyYOV92u8ehS7ie1qwrMNDAwrIGOrEBxpUgPvpVhdMKearFfabKLjWh5dtniMHIFTE5cSfjDp3cUuAHaEMlV2m22S1E7%2B%2BqLhJRHUxrx0Ahj9AgijOS6Ej7rGG3xGTKGOnhYGjvrjhMzhpYH7bBR2UDVY%2Ff5JnU3IqbM8%2BmzPkwAtPDE4f74N3zJ3CUErPd4nF0UOXyQABK0JE3XGOZmeqIIDshevKKQuAQWWCmCYyGaPWgjtPkrFNgDEqhkhXN4QWxs%2FJfC2Tb&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20240524T152432Z&X-Amz-SignedHeaders=host&X-Amz-Expires=299&X-Amz-Credential=ASIAQ3PHCVTY4RJ4ZEGT%2F20240524%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=49fff6e8e4aa2160d63ba58a605230103a570a99a899c33049a2447724567bf6&hash=cf866cff1fcd93c461170f4149fdcc586b3e8c5bd13fbef0361db16227b04cc0&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S1566253524002628&tid=spdf-53f47d50-21b1-4fa1-a93b-92addbddb736&sid=5b8e3010830f534aec5849b2797ace9af2f9gxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=001156565a0352015207&rr=888e4b0cfc530203&cc=fr},

year  = {2024},

date = {2024-10-01},

journal = {Information Fusion},

volume = {110},

pages = {102484},

abstract = {Medical image segmentation often faces challenges related to overfitting, primarily due to the limited and complex training samples. This challenge often prompts the use of self-supervised learning and data augmentation. However, self-supervised learning requires well-defined hand-crafted tasks and multiple training stages. On the other hand, basic image augmentation techniques like cropping, rotation, and flipping, effective for natural scene images, have limited efficacy for medical images due to their isotropic nature.



While regional dropout regularization data augmentation methods have proven effective in image recognition tasks, their application in image segmentation is not as extensively studied. Additionally, existing augmentation methods often operate on square regions, leading to the loss of crucial contour information. This is particularly problematic for medical image segmentation tasks dealing with regions of interest characterized by intricate shapes. In this work, we introduce LCAMix, a novel data augmentation approach designed for medical image segmentation. LCAMix operates by blending two images and their segmentation masks based on their superpixels, incorporating a local-and-contour-aware strategy. The training process on augmented images adopts two auxiliary pretext tasks: firstly, classifying local superpixels in augmented images using an adaptive focal margin, leveraging segmentation ground truth masks as prior knowledge; secondly, reconstructing the two source images using mixed superpixels as mutual masks, emphasizing spatial sensitivity. Our method stands out as a simple, one-stage, model-agnostic, and plug-and-play data augmentation solution applicable to various segmentation tasks. Notably, it requires no external data or additional models. Extensive experiments validate its superior performance across diverse medical segmentation datasets and tasks. The source codes are available at https://github.com/DanielaPlusPlus/DataAug4Medical.},

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pubstate = {published},

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@article{chu_3041,

title = {An improved equilibrium efficient frontier data envelopment analysis approach for evaluating decision-making units with fixed-sum outputs},

author = {Junfei Chu and Yanhua Dong and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0377221724004314},

year  = {2024},

date = {2024-10-01},

journal = {European Journal Of Operational Research},

volume = {318},

number = {2},

pages = {592-604},

abstract = {In recent years, significant development has been made in efficiency evaluation for Decision-Making Units (DMUs) with fixed-sum outputs. The Generalized Equilibrium Efficient Frontier Data Envelopment Analysis (GEEFDEA) approach introduced by Yang et al. (2015) is one of the most representative methods. In the GEEFDEA approach, all DMUs are adjusted to become efficient under the same set of weights, indicating that the Equilibrium Efficient Frontier (EEF) constructed consists of only one hyperplane. However, in practical scenarios under the Variable Return to Scale (VRS) assumption, the production frontier always consists of multiple hyperplanes, presenting a more complex shape. To fill this research gap, we propose an improved Equilibrium Efficient Frontier Data Envelopment Analysis approach. Our approach allows DMUs to have different weights for inputs, variable-sum outputs, and fixed-sum outputs, resulting in an EEF with multiple hyperplanes. It is noted that our new approach uses a non-linear model to obtain the EEF. We show that the model can be linearized in the case of a single fixed-sum output. In situations involving multiple fixed-sum outputs, we propose an algorithm based on the Expectation Maximization (EM) mechanism to solve the model to obtain an EEF. Finally, we illustrate the advantages of our new approach through a numerical example and a case study in the global motor vehicle industry.},

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}

@article{latukha_3185,

title = {Adaptive Leadership for Multilevel Resilience in the Context of Disruptions},

author = {Marina Latukha and Kaifeng Yan and Polina Yakovleva},

url = {https://doi.org/10.1002/tie.22416},

year  = {2024},

date = {2024-10-01},

journal = {Thunderbird International Business Review},

abstract = {This paper examines the relationship between adaptive leadership and three levels of resilience: individual, team, and organizational. Developing multilevel resilience enables organizations to better anticipate conflicts and respond to environmental disruptions. Through correlation and regression analysis based on 148 respondents from companies in Russia, we build the relationship between adaptive leadership and three levels of resilience, unpacking the new role of leadership in shaping managerial responses to contextual change. The results suggest that adaptive leadership can positively influence all three levels of resilience, with adaptive leadership having the most significant impact on team resilience, then organizational resilience, leaving employee resilience behind. Such findings contribute to a deeper understanding of how exactly managerial mechanisms should be redesigned to overcome disruptions and develop leadership capabilities.},

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@article{alirezazadeh_3188,

title = {Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification},

author = {Pandar Alirezazadeh and Fadi Dornaika and Jinan Charafeddine},

url = {https://link.springer.com/article/10.1007/s10462-024-10963-4#citeas},

year  = {2024},

date = {2024-10-01},

journal = {Artificial Intelligence Review},

volume = {57},

pages = {326},

abstract = {To enhance the accuracy of breast cancer diagnosis, current practices rely on biopsies and microscopic examinations. However, this approach is known for being time-consuming, tedious, and costly. While convolutional neural networks (CNNs) have shown promise for their efficiency and high accuracy, training them effectively becomes challenging in real-world learning scenarios such as class imbalance, small-scale datasets, and label noises. Angular margin-based softmax losses, which concentrate on the angle between features and classifiers embedded in cosine similarity at the classification layer, aim to regulate feature representation learning. Nevertheless, the cosine similarity's lack of a heavy tail impedes its ability to compactly regulate intra-class feature distribution, limiting generalization performance. Moreover, these losses are constrained to target classes when margin penalties are applied, which may not always optimize effectiveness. Addressing these hurdles, we introduce an innovative approach termed MF-BAM (Mises-Fisher Similarity-based Boosted Additive Angular Margin Loss), which extends beyond traditional cosine similarity and is anchored in the von Mises-Fisher distribution. MF-BAM not only penalizes the angle between deep features and their corresponding target class weights but also considers angles between deep features and weights associated with non-target classes. Through extensive experimentation on the BreaKHis dataset, MF-BAM achieves outstanding accuracies of 99.92%, 99.96%, 100.00%, and 98.05% for magnification levels of ×40, ×100, ×200, and ×400, respectively. Furthermore, additional experiments conducted on the BACH dataset for breast cancer classification, as well as on the LFW and YTF datasets for face recognition, affirm the generalization capability of our proposed loss function.},

keywords = {},

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tppubtype = {article}

}

@article{nguyen_3192,

title = {Size-dependency and lattice-discreetness effect on fracture toughness in 2D crystals under antiplanar loading},

author = {Thuy Nguyen and Daniel Bonamy},

url = {https://link.springer.com/article/10.1007/s10704-024-00812-4?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20241017&utm_content=10.1007%2Fs10704-024-00812-4},

year  = {2024},

date = {2024-10-01},

journal = {International Journal Of Fracture},

abstract = {Fracture toughness is the material property

characterizing resistance to failure. Predicting its value from the solid structure at the atomistic scale remains elusive, even in the simplest situations of brittle fracture. We report here numerical simulations of crack propagation in two-dimensional fuse networks of different periodic geometries, which are electrical analogs of bidimensional brittle crystals under antiplanar loading. Fracture energy is determined from Griffith's analysis of energy balance during crack propagation, and fracture toughness is determined from fits of the displacement fields with Williams' asymptotic solutions. Significant size dependencies are evidenced in small lattices, with fracture energy and fracture toughness both converging algebraically with system size toward well-defined material-constant values in the limit of infinite system size. The convergence speed depends on the loading conditions and is faster when the symmetry of the considered lattice increases. The material

constants at infinity obey Irwin's relation and properly define the material resistance to failure. Their values are approached up to ? 15% using the recent analytical method proposed in Nguyen and Bonamy (Phys

Rev Lett 123:205503, 2019). Nevertheless, the deviation remains finite and does not vanish when the system size goes to infinity. We finally show that this deviation is a consequence of the lattice discreetness and

decreases when the super-singular terms of Williams' solutions (absent in a continuum medium but present here due to lattice discreetness) are taken into account.},

keywords = {},

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tppubtype = {article}

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@article{huang_3211,

title = {Catch-up in Complex Products and Systems: A Fuzzy-Set Qualitative Comparative Analysis of China's Equipment Manufacturing Industry},

author = {Han Huang and Jie Xiong and Zhe Yuan and Chun Liu and Lu XU},

url = {https://ieeexplore.ieee.org/document/10738479},

year  = {2024},

date = {2024-10-01},

journal = {Ieee Transactions On Engineering Management},

pages = {1-15},

abstract = {The rapid advancement of Chinese Complex Products and Systems (CoPS) enterprises marks their transition into a post-catch-up phase, challenging conventional theories of catch-up. This study employs a configurational approach to explore the intricate relationships between catch-up environments and strategies, specifically focusing on the distinct paths of State-Owned Enterprises (SOEs) and non-State-Owned Enterprises (non-SOEs) within the CoPS sector. Utilizing Fuzzy-Set Qualitative Comparative Analysis (fsQCA) with data sourced from the EU Industrial R&D Investment Scoreboard (2017-2020) and corresponding Chinese-listed companies, our research identifies diverse catch-up configurations for SOEs, characterized by ?complexity adoption? and ?complexity decipher? models. In contrast, non-SOEs encounter challenges in strategically adapting to environmental shifts, which affects their catch-up strategies. Our findings emphasize the critical role of strategic alignment with external conditions, technological learning, and resource utilization in achieving successful catch-up in CoPS. These configurations enable SOEs to effectively align internal resources with external opportunities, resulting in superior catch-up performance. In contrast, non-SOEs encounter significant obstacles in adapting to environmental changes and optimizing resource utilization, which hinders their ability to attain similar successes. Moreover, our study sheds light on specific challenges faced by non-SOEs in responding to environmental shifts. This enriched understanding provides valuable theoretical insights into the catch-up of latecomer CoPS enterprises and has practical implications for both policymakers and business practitioners.},

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tppubtype = {article}

}

@article{de_grazia_3030,

title = {Procrastination or incomplete data? An analysis of USPTO examiner search activity},

author = {Charles de Grazia and Alexander Giczy and Nicholas Pairolero},

url = {https://doi.org/10.1016/j.respol.2024.105033},

year  = {2024},

date = {2024-09-01},

journal = {Research Policy},

volume = {53},

number = {7},

pages = {105033},

abstract = {Frakes and Wasserman (2020) finds evidence that United States Patent and Trademark Office (USPTO) patent examiners disproportionately receive credit for examination activities at the end of production periods and interprets this behavior as systemic examiner procrastination. Using newly assembled micro data on the

timing of USPTO examiner activities, our results show examiner work effort more closely resembles a uniform distribution over the production period, indicating consistent workflow and not procrastination. The assembled

data better track the precise timing of examiner work activities than the data used in Frakes and Wasserman

(2020), explaining the differences in our results. While Frakes and Wasserman (2020) conduct a thorough analysis of the markers and consequences of ??end-loading'', its use of an inadequate proxy for examination activity (i.e., Office action count dates) leads to incorrect conclusions about the examination process (i.e., widespread examiner procrastination)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{hemsley_3213,

title = {Views on the usability, design, and future possibilities of a 3D food printer for people with dysphagia: outcomes of an immersive experience},

author = {Bronwyn Hemsley and Stephen Dann and Courtney Reddacliff and Rebecca Smith and Fiona Given and Valerie Gay and Tuck Wah Leong and Emmanuel Josserand and Katrina Skellernd and Chriss Bull and Stuart Palmer and Susan Balandin},

url = {https://www.tandfonline.com/doi/full/10.1080/17483107.2022.2131914},

year  = {2024},

date = {2024-09-01},

journal = {Disability And Rehabilitation},

volume = {19},

number = {3},

pages = {527-536},

abstract = {Purpose



Although 3D food printing is expected to enable the creation of visually appealing pureed food for people with disability and dysphagia, little is known about the user experience in engaging with 3D food printing or the feasibility of use with populations who need texture-modified foods. The aim of this study was to explore the feasibility and usability of using domestic-scale 3D food printer as an assistive technology to print pureed food into attractive food shapes for people with dysphagia.

Materials and Methods



In total, 16 participants engaged in the unfamiliar, novel process of using a domestic-scale 3D food printer (choosing, printing, tasting), designed for printing pureed food, and discussed their impressions in focus group or individual interviews.

Results and Conclusions



Overall, results demonstrated that informed experts who were novice users perceived the 3D food printing process to be fun but time consuming, and that 3D food printers might not yet be suitable for people with dysphagia or their supporters. Slow response time, lack of user feedback, scant detail on the appropriate recipes for the pureed food to create a successful print, and small font on the user panel interface were perceived as barriers to accessibility for people with disability and older people. Participants expected more interactive elements and feedback from the device, particularly in relation to resolving printer or user errors. This study will inform future usability trials and food safety research into 3D printed foods for people with disability and dysphagia.



    IMPLICATIONS FOR REHABILITATION



    3D food printers potentially have a role as an assistive technology in the preparation of texture-modified foods for people with disability and dysphagia.



    To increase feasibility, 3D food printers should be co-designed with people with disability and their supporters and health professionals working in the field of dysphagia and rehabilitation.



    Experts struggled to be able to print 3D pureed shapes owing to relatively low usability of the 3D food printer tested with problems using the interface and resolving problems in the print.



    3D food printing is a fun and novel activity and may help to engage people with disability and dysphagia in making choices around the shape of the food to be printed.},

keywords = {},

pubstate = {published},

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}

@article{tao_3056,

title = {Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China},

author = {Weiliang Tao and Shimei Weng and Xueli Chen and Fawaz Baddar Al Hussan and Malin Song},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0140988324004274},

year  = {2024},

date = {2024-08-01},

journal = {Energy Economics},

volume = {136},

pages = {107719},

abstract = {The widespread integration of artificial intelligence (AI) technology in the realms of energy and the environment has emerged as a catalyst for transformative shifts toward low-carbon energy structures. However, existing literature and practical applications have yet to delve into the intricate ways in which intelligent technology influences energy structures. Consequently, this study addresses this gap by constructing a comprehensive theoretical model that encompasses robots and differentiated energy inputs. By drawing on the Chinese case, this research investigates the impact of AI on low-carbon energy structure transformation, both theoretically and empirically. The study's results reveal that AI technology significantly advances the cause of low-carbon energy transformation. Notably, this effect is manifested in the post-Industry 4.0 era and regions endowed with abundant renewable energy resources and strong governmental support for innovation. Rigorous robustness tests substantiate the existence of this relationship. Furthermore, adopting smart technology fosters energy structure transformation through industrial restructuring, and introduces the energy rebound effect, thereby partially offsetting its positive impact. Importantly, the study underscores that the efficacy of AI is further heightened when the influx of innovation factors surpasses a certain threshold. These findings furnish crucial evidence and policy insights for China and other developing nations, offering guidance on accelerating energy transitions and attaining carbon neutrality.},

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tppubtype = {article}

}

@article{shakir_3063,

title = {Novel Approximate Distribution of the Generalized Turbulence Channels for MIMO FSO Communications},

author = {Wafaa Shakir and Ali Mahdi and Hani Hamdan and Jinan Charafeddine and Haitham Satai and Radouane Akrache and Samir Hadad and Jinane Sayah},

url = {https://ieeexplore.ieee.org/document/10568928},

year  = {2024},

date = {2024-08-01},

journal = {Ieee Photonics Journal},

volume = {16},

number = {4},

pages = {1 - 15},

abstract = {In this paper, we develop an innovative series representation for the sum of Rician non-zero boresight pointing error random variates based on the k - ? distribution, which is suitable for multiple-input multiple-output (MIMO) transmission for the first time. Then, using this new representation, we introduce a novel closed-form probability density function (PDF) approximation for the sum of Gamma-Gamma random variates with generalized pointing errors and atmospheric attenuation of MIMO free-space optical (FSO) communications. Statistical Kolmogorov-Smirnov tests confirm the accuracy of this approximation over a wide range of channel conditions. The significance of this approximation is emphasized by deriving closed-form expressions for the ergodic capacity, outage probability, and average bit error rate (BER) using Meijer's G-function. This paper provides a comprehensive analysis of the performance of MIMO FSO systems utilizing the equal gain combining (EGC) diversity technique under various conditions, such as different numbers of transmitter and receiver, turbulence intensities, the effects of non-zero boresight pointing errors, and path attenuation. The results show that using MIMO technology with more transmitters and receivers significantly improves the performance of FSO communication compared to other diversity techniques, including single input single output (SISO), and multiple input single output (MISO) systems. Detailed evaluations of the ergodic capacity, outage probability, and average BER performance at high signal-to-noise ratios provide additional insights. Monte-Carlo simulation results demonstrate the accuracy of the proposed approach.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ketata_3136,

title = {Impact of fractured tibia implant fixation devices on bone stiffness during bending test},

author = {HAJER KETATA and Naila Hfaiedh and Michèle Kanhonou and Houssem Badreddine},

url = {https://www.sciencedirect.com/science/article/pii/S1350453324001292?via%3Dihub},

year  = {2024},

date = {2024-08-01},

journal = {Medical Engineering & Physics},

volume = {131},

pages = {104228},

abstract = {This study focuses on evaluating the failure resistance of a previously reduced tibia with internal fixation implants as PLate (PL) or InterMedullary Nail (IMN), subjected later to a tibial lateral trauma. To replicate this type of trauma, which can be caused by a road accident, a three-point bending test is considered using experimental tests and numerical simulations.



The withstand evaluation of the tibia-PL and tibia-IMN structures was conducted by following the load transfer through, the bone and the used implants. The analysis, up to tibia failure, required the use of an elasto-plastic behaviour law coupled to damage. The model parameters were identified using experimental tests.



Il was shown that the tibia-IMN structure provided a bending resistant load up to three-times higher than the tibia-PL. In fact, the used screws for plate fixation induced a high level of stress in the vicinity of threaded region, leading to a crack initiation and a damage propagation. However, in tibia-IMN structure the highest stress was generated in the trapped zone between the loader and the nail, promoting crack formation.



From a biomechanical point of view, the structure with IMN is safer than the structure with PL, whose fixation induces earlier damage in bone.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{latukha_3150,

title = {The effect of sanctions on macro talent management: The case of Russia},

author = {Marina Latukha and Ilan Alon and Nikita Kuleshov and Vlad Vaiman},

url = {https://doi.org/10.1016/j.jwb.2024.101570},

year  = {2024},

date = {2024-08-01},

journal = {Journal Of World Business},

volume = {59},

number = {5},

pages = {101570},

abstract = {The purpose of our study is to examine how the sanctions imposed on Russia influence talent management. To do

so, we review the macro talent management (MTM) framework alongside the literature on sanctions. In addition,

we have collected data from 419 media publications discussing the effects of sanctions and analyzed them using

critical discourse analysis (CDA). Our findings highlight the predominantly negative nature of the sanctions'

impact on MTM ecosystems, theoretically yielding closer links between the sanctions and the MTM framework,

and human capital more specifically.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{can_3151,

title = {Institutional pressures and greenwashing in social responsibility: reversing the link with hybridization capability},

author = {Ozge Can and Duygu TURKER},

url = {https://www.emerald.com/insight/content/doi/10.1108/MD-10-2023-1790/full/html},

year  = {2024},

date = {2024-08-01},

journal = {Management Decision},

abstract = {Purpose



Despite the ongoing scholarly interest in greenwashing, it is not well known the impact of multiple institutional pressures on greenwashing in corporate social responsibility (CSR). Following the institutional logics perspective, this study investigates how three distinct logics - commercial, public, and social welfare - drive greenwashing and whether organizational capability for blending diverse CSR expectations reverses this link.

Design/methodology/approach



The current study conceptualized and tested an original model on how three institutional logics influence greenwashing in CSR, with the mediation effect of hybridization capability as a response to logic plurality. Partial least squares structural equation modeling was performed on a survey data, which was collected from 150 middle managers in Turkey.

Findings



The results show that while commercial logic has no direct or indirect impact on greenwashing, public and social welfare logics drive greenwashing in CSR. However, these effects are reversed when the CSR hybridization capability increases.

Practical implications



This study contributes to the understanding of what predicts CSR greenwashing by integrating a comprehensive theoretical framework involving multiple institutional logics, conflicting stakeholder demands, and organizational hybridity.

Originality/value



To the best of our knowledge, this is the first study that theoretically and empirically analyzed how the exposure of multiple external pressures affects the CSR greenwashing and how it can be reversed by CSR hybridization capability. This capability mitigates the threats and challenges of multiple logics and turns them into an opportunity to gain legitimacy in the eyes of stakeholders by preventing greenwashing.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{farronato_1909,

title = {The Green Frontier of Mobile Applications in Improving Recycling Consumers' Behavior},

author = {Nicola Farronato and Veronica Scuotto and Marco Pironti and Manlio Del Giudice},

url = {https://ieeexplore.ieee.org/abstract/document/9884976},

year  = {2024},

date = {2024-07-01},

journal = {Ieee Transactions On Engineering Management},

volume = {71},

pages = {13191-13200},

abstract = {In this article, we provide a new insight into overcoming resistance to emerging green technologies through mobile app users' environmental engagement. The use of a mobile recycling application is evaluated with regard to its media richness with a sample of 12 539 users in Italy. The research is developed during the COVID-19 pandemic, at a time when users have become more environmentally conscious and aware of plastic pollution. This time period has also seen an increase in the use of mobile applications, which provide social engagement and other benefits. Although it has encouraged new research on recycling behavior and how environmental messages are spread, as far as we know, no research has included a specific technology, such as mobile applications. Through the lens of consumer social media engagement behavior, it has emerged that media richness has a positive correlation with user engagement and recycling behavior. Theoretically, the research offers a novel technological tool worthy of further exploration in the fields of management and engineering. New practical insights are offered in terms of best practices for strengthening the relationships between companies and their clients. As users become more accustomed to social technologies, those technologies may help to establish responsible consumption patterns.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bouzbib_2109,

title = {PalmEx: Adding Palmar Force-Feedback for 3D Manipulation with Haptic Exoskeleton Gloves},

author = {Elodie Bouzbib and Marc Teyssier and Thomas Howard and Claudio Pacchierotti and Anatole Lécuyer},

url = {https://ieeexplore.ieee.org/document/10041940/},

year  = {2024},

date = {2024-07-01},

journal = {Ieee Transactions On Visualization And Computer Graphics},

volume = {30},

number = {7},

pages = {3973-3980},

abstract = {Haptic exoskeleton gloves are a widespread solution for providing force-feedback in Virtual Reality (VR), especially for 3D object manipulations. However, they are still lacking an important feature regarding in-hand haptic sensations: the palmar contact.

In this paper, we present PalmEx, a novel approach which incorporates palmar force-feedback into exoskeleton gloves to improve the overall grasping sensations and manual haptic interactions in VR. PalmEx's concept is demonstrated through a self-contained hardware system augmenting a hand exoskeleton with an encountered palmar contact interface -- physically encountering the users' palm.

We build upon current taxonomies to elicit PalmEx's capabilities for both the exploration and manipulation of virtual objects. 

We first conduct a technical evaluation optimising the delay between the virtual interactions and their physical counterparts.

We then empirically evaluate PalmEx's proposed design space in a user study (n=12) to assess the potential of a palmar contact for augmenting an exoskeleton. Results show that PalmEx offers the best rendering capabilities to perform believable grasps in VR.

PalmEx highlights the importance of the palmar stimulation, and provides a low-cost solution to augment existing high-end consumer hand exoskeletons.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gangi_2329,

title = {Uncovering Backers' Intention to Participate in Reward-Based Crowdfunding: The Role of Value Cocreation},

author = {Francesco Gangi and Lucia Michela Daniele and Veronica Scuotto and Tani Mario},

url = {https://ieeexplore.ieee.org/document/10114066},

year  = {2024},

date = {2024-07-01},

journal = {Ieee Transactions On Engineering Management},

pages = {1 - 13},

abstract = {The ongoing dynamic market evolution has reshaped the way companies can create value, thanks to new funding models and new market opportunities, especially in the early business stages. In particular, with the growing development of crowdfunding models, scholars and practitioners are questioning how backers can cocreate value by funding new entrepreneurial initiatives through digital platforms dedicated to this new form of financial support. Therefore, positioning this article in the knowledge and engineering management literature, the current research explores whether two subdimensions of value cocreation (VCC), knowledge sharing and interaction, may help to understand backers' intention to participate in a reward-based crowdfunding (RBCF) campaign. In particular, using the partial least square structural equation modeling approach on an original sample of 3574 backers, in this article, we find that knowledge sharing, understood as backers' expertise as well as the preparedness of the proponent team, and the interaction between the campaign actors contribute to explaining backers' participation in an RBCF initiative. The research supports the relevance of backers' engagement in terms of VCC as an experiential benefit for the success of an RBCF initiative. From this perspective, our study suggests that both entrepreneurs and platforms should consider VCC in the design and setting of RBCF campaigns.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dornaika_2943,

title = {Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering},

author = {Fadi Dornaika and Sally El Hajjar and Jinan Charafeddine},

url = {https://www.sciencedirect.com/science/article/pii/S0952197624004949?via%3Dihub},

year  = {2024},

date = {2024-07-01},

journal = {Engineering Applications Of Artificial Intelligence},

volume = {133},

number = {Part D},

pages = {108336},

abstract = {Automatic classification methods widely used for diagnosing and analyzing COVID-19 cases. These methods assume known labels and rely on a single view of the dataset. Given the prevalence of COVID-19 cases and the extensive volume of patient records lacking labels, this communication underscores our unique approach?conducting the first study on COVID-19 case diagnosis in an unsupervised manner. Our work operates under the assumption of prior knowledge regarding the number of classes, such as COVID-19, pneumonia, and normal, in a case study.



By adopting an unsupervised learning paradigm, we leverage the wealth of unlabeled data, reducing dependence on human experts for annotating numerous images. This paper introduces an enhanced version of a recent direct method where non-negative cluster indices and spectral embeddings are jointly estimated. Beyond the inherent advantages of this method, our proposed model introduces improvements through two additional types of constraints: (i) ensuring consistent smoothing of cluster labels across all views and (ii) imposing an orthogonality constraint on the matrix of cluster assignments. The efficacy of the proposed method is demonstrated using the public COVIDx dataset with three classes, showcasing promising results in categorizing radiographs. The proposed approach is tested on other public image datasets to assess its effectiveness.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{waheed_3109,

title = {Satisfaction as a function of user justice: a social exchange theory perspective},

author = {Mehwish Waheed and Noor Ul-Ain and Jan Riezebos and Patrick Mikalef},

url = {https://www.tandfonline.com/doi/full/10.1080/09537325.2024.2369934},

year  = {2024},

date = {2024-07-01},

journal = {Technology Analysis & Strategic Management},

abstract = {This study investigates complaint behaviour as a function of post-satisfaction behaviour stemming from perceptions of justice and security. Grounded in social exchange theory, we propose an integrated framework in which

security, expectation confirmation, and dimensions of justice (distributive, procedural, and interactional) influence satisfaction, affecting complaint behaviour towards the eCommerce Digital Supply Chain (DSC) process.

Data were collected through a quantitative online survey involving 316 Amazon eShoppers of tech products from the European region. The confirmatory factor analysis results validated the second-order reflective justice construct, encompassing distributive, procedural, and interactional

dimensions. Furthermore, the structural relationship results revealed (i) justice and security have a significant impact on eShoppers' satisfaction; (ii) a significant relationship exists between word of mouth, satisfaction, and eShoppers' complaint intention. This framework contributes to the existing knowledge base and offers valuable insights for stakeholders in the eCommerce DSC.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{vazquez-ferrel_3163,

title = {Political survival and legislative reselection in Mexico's chamber of deputies},

author = {Carlos Vazquez-Ferrel and Erik Ernesto Vazquez Hernandez},

url = {https://doi.org/10.1080/13572334.2024.2372953},

year  = {2024},

date = {2024-07-01},

journal = {The Journal of Legislative Studies},

abstract = {This article presents an empirical investigation into the factors influencing the renomination of legislators by party leaders for their continued presence in Congress. We argue that legislators who have previously held influential positions within Congress, such as Committee President, have a successful track record of (co)sponsoring bills, and have built distinguished political careers, are more likely to be renominated in Congress. To test this theory, we employ an original dataset sourced from the Mexican 2018-2021 Chamber of Deputies, which comprises the inaugural group of Congress members allowed to seek reelection after a 90-year prohibition within the context of a transforming party system marked by the diminishing electoral attractiveness of traditional parties. Our findings carry significant implications for comprehending how party leaders recognise and reward legislators who effectively safeguard the party's interests and uphold its reputation inside the halls of Congress.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{chu_3019,

title = {Dynamic bargaining game DEA carbon emissions abatement allocation and the Nash equilibrium},

author = {Junfei Chu and Tianteng HOU and Feng Li and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S014098832400330X},

year  = {2024},

date = {2024-06-01},

journal = {Energy Economics},

volume = {134},

pages = {107622},

abstract = {Allocating carbon emissions abatement (CEA) is crucial for reducing carbon footprint of organizations (or decision-making units, DMUs) and mitigating global warming. However, discrepancies often arise among DMUs regarding CEA allocation. This study introduces a dynamic bargaining game approach to address the issue under the nonparametric production frontier analysis framework. Our approach employs an iterative process, allowing each DMU to propose its individual preferred CEA allocation proposal in each iteration. Subsequently, dynamic negotiations among the DMUs occur, leading to the eventual consensus on the CEA allocation result. Our theoretical analysis demonstrates that, at the end of the dynamic bargaining game, all DMUs will converge on the same CEA allocation result, termed as the consensus CEA allocation result. This agreement is reached despite each DMU customizing its individual CEA allocation proposal to suit its own interests. Moreover, we prove that this consensus CEA allocation result represents a Nash equilibrium solution, thereby ensuring its stability and acceptance among all DMUs. Finally, we provide a simple numerical example and a case study of CEA allocation across 27 European Union countries to illustrate the usefulness of our approach and compare it with prior CEA allocation approaches.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{barhoumi_2861,

title = {Numerical Study of Doxorubicin transdermal delivery for breast cancer treatment using Microneedles},

author = {Houda BARHOUMI and Marie Carole Kouassi and Achraf Kallel},

url = {https://onlinelibrary.wiley.com/doi/10.1002/cnm.3812},

year  = {2024},

date = {2024-05-01},

journal = {International Journal For Numerical Methods In Biomedical Engineering},

volume = {40},

number = {5},

pages = {e3812},

abstract = {The lack of in vivo studies on the delivery of doxorubicin within human skin,

especially the absence of data on the doxorubicin diffusion coefficient, has

made understanding its transdermal delivery kinetics challenging. In this

study, as a first step, governing equations and finite element methods were

employed to reproduce Franz diffusion cell experiment in human cadaver skin.

The application of this experiment representative model with a fitting method

resulted in approximate values for the diffusivity of doxorubicin across various

skin layers. The estimated values were used later to conduct a comprehensive

examination of doxorubicin administration for breast tumor treatments. In a

2D axisymmetric model using Fick's Law and then a microneedles array 3D

model, crucial parameters effects on delivery efficiency were examined, such

as the microneedle tip diameter, tip-to-tip distance, and tumor depth. As

highlighted by the findings of this study, these parameters have an impact on

the effectiveness of doxorubicin delivery for treating breast tumors. The focus

of this research is on the potential of numerical methods in biomedical engineering,

which addresses the urgent need for data on doxorubicin diffusion in

human skin and offers valuable insights into optimizing drug delivery strategies

for enhanced therapeutic outcomes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{scuotto_2933,

title = {A destination's personality as a factor in tourists' environmental knowledge management},

author = {Veronica Scuotto and Deniz karagöz and Nicola Farronato and Ilan Alon},

url = {https://www.emerald.com/insight/content/doi/10.1108/JKM-07-2022-0534/full/html},

year  = {2024},

date = {2024-05-01},

journal = {Journal Of Knowledge Management},

volume = {28},

number = {5},

pages = {1185-1203},

abstract = {Purpose

Environmental knowledge management (EKM) has been studied mainly owing to the increasing awareness of environmental issues. Such issues have generated a warning in the tourism industry that has stimulated a new wave of research on EKM. EKM forges landscape characteristics and so destination image. In turn, EKM sounds affecting tourism destination which calls for destination personality which shows a research context less explored. From a knowledge management perspective, The present research aims to investigate on EKM to understand how it leverages tourists' and destination personality.



Design/methodology/approach

With the intent of exploring EKM, the research uses a quantitative analysis on a sample of 2,222 young Chinese tourists. In this context, EKM is linked with destination's personality and tourists' personalities, their satisfaction with the destination and their behavioral intentions.



Findings

By SPSS regression model, EKM and destination personality are positively linked. This positive relationship is also reflected on destination personality and destination satisfaction, behavioral intention.



Originality/value

The authors' original contribution to the knowledge management literature extends the new wave of research on EKM. The research also proves the need to make a close collaboration between tourists, the local community and marketers. Marketers need to pay more attention to what tourists want to do and see in the place visited. In a nutshell, there is the need of enforcing and promoting EKM.



Keywords},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{boubakri_3013,

title = {Virtual Reality Classrooms vs. Video Conferencing Platforms: Initial Design and Evaluation Study for Collaborative Distance Learning},

author = {Fatima Ezzahra Boubakri and Mohammed Kadri and Fatima Zahra Kaghat and Ahmed Azough},

url = {https://link.springer.com/article/10.1007/s11042-024-19309-2},

year  = {2024},

date = {2024-05-01},

journal = {Multimedia Tools And Applications},

abstract = {In recent years, remote work and communication via videoconferencing tools have become increasingly prevalent across various sectors, including education, where students and teachers use these platforms to attend virtual classes. Although videoconferencing offers advantages such as convenience and flexibility, it also has limitations. For instance, remote group work and practical activities may pose challenges, and students may experience decreased motivation to learn due to a lack of social interaction and support provided in traditional classrooms. To address these limitations, this study proposes ?V-Class,? an immersive multi-user virtual reality learning system that combines distance learning with traditional learning by immersing students in a virtual classroom and facilitating collaboration and hands-on activities. This study evaluates the effectiveness of our system ?V-Class? using both subjective and objective measurements to examine variables like presence, performance, collaboration, and engagement. It is compared to Zoom, a popular videoconferencing tool, with 50 participants. V-Class outperformed Zoom in all dimensions, indicating its potential as a superior solution for enhancing distance learning over videoconferencing tools.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{ahmed_3081,

title = {Digital leadership and innovative work behavior: impact of LMX, learning orientation and innovation capabilities},

author = {Farooq Ahmed and M. Muzamil Naqshbandi and Mehwish Waheed and Noor Ul-Ain},

url = {https://www.emerald.com/insight/content/doi/10.1108/MD-04-2023-0654/full/html},

year  = {2024},

date = {2024-05-01},

journal = {Management Decision},

abstract = {Purpose - Grounded in the Social Exchange theory, this study focuses on the perception of digital leadership

and innovative work behaviors. It also examines the complex effects of leader-member exchange, learning

orientation, and innovation capabilities.

Design/methodology/approach - We undertake a quantitative approach using a two-wave longitudinal

field survey of 440 employees and managers from various backgrounds working in the automobile industry in

France.

Findings - The findings based on Structural Equation Modeling reveal that the perception of digital

leadership leads to innovative work behavior while leader-member exchange moderates between the

perception of digital leadership and learning orientation. The findings also support the mediating roles of

learning orientation and innovation capabilities.

Originality/value - The study contributes important policy suggestions, raises queries for additional

investigation, and suggests theoretical and practical implications for leadership and organizational

environmental factors to foster innovative work behaviors in organizations.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{scuotto_1811,

title = {Chief Digital Officer and Organizational Creativity Toward Digitalization},

author = {Veronica Scuotto and Domitilla Magni and Tzanidis Theofilos and Manlio Del Giudice},

url = {https://ieeexplore.ieee.org/document/9753676},

year  = {2024},

date = {2024-04-01},

journal = {Ieee Transactions On Engineering Management},

volume = {71},

pages = {13775-13786},

abstract = {Through the microfoundation lens, this article explores how dynamic capabilities (DCs) of Chief Digital Officers (CDOs) trigger digitalization and organizational creativity of 2124 small to medium enterprises (SMEs) across 39 different European countries. As a result, the significant DCs are substantive and adaptive capabilities, which are offering new solutions, seizing new opportunities, and coping with changes. Besides, those two DCs also assume a mediator role in triggering organizational creativity within SMEs. In terms of theoretical and managerial implications, threefold contributions are provided: the first one offers a fresh study on the digital transformation context of SMEs through a microfoundation perspective; the second emphasizes the crucial role of CDOs as supported and remarked upon previous studies; and, then, the third one stresses out the importance of the individual leverage to generate creativity by the moderating role of DCs. By highlighting the originality of the research, since CDOs are seen to be the spark of unique ideas and innovations in the organization, further insights are proposed to position the need for conceptualizing new paths for developing technologies toward organizational creativity and humanity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{scuotto_2390,

title = {Linking supply chain resilience with knowledge management for achieving supply chain performance},

author = {Veronica Scuotto and Subhodeep Mukherjee and Ramji Nagariya and K. Mathiyazhagan},

url = {https://www.emerald.com/insight/content/doi/10.1108/JKM-12-2022-0985/full/html},

year  = {2024},

date = {2024-04-01},

journal = {Journal Of Knowledge Management},

volume = {28},

number = {4},

pages = {971-993},

abstract = {Purpose - Supply chain (SC) and knowledgemanagement (KM) have been studied; still, there is a need to understand how KM can be used for SC resilience and improving the firm's performance. The purpose of the paper is to study and analyze SC resilience strategies based on KM processes to enhance SC performance considering six SC strategies: SC reengineering, collaboration, SC innovation, SC integration, SC agility and SC riskmanagement.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mhiri_2886,

title = {Modeling and Analysis of a Macro-fiber Piezoelectric Bimorph Energy Harvester operating in d33-Mode using Timoshenko Theory},

author = {Mohamed Taha Mhiri and Mnaouar Chouchane and Mohamed Guerich and Walid Larbi},

url = {https://www.peeref.com/journals/5764/mechanics-of-advanced-materials-and-structures},

year  = {2024},

date = {2024-04-01},

journal = {Mechanics Of Advanced Materials And Structures},

pages = {1-15},

abstract = {Piezoelectric bimorph cantilevered beams are frequently employed in energy harvesting applications. The use of macro-fiber composites, which combine piezoelectric fibers with rectangular cross-sections and interdigitated electrodes, has significantly enhanced their performance by enabling operation in the 33-mode of piezoelectricity, thereby increasing conversion efficiency. In this paper, the Timoshenko beam theory is applied to overcome the limitations of the Euler-Bernoulli theory in modeling transverse vibrations of harvesters with low slenderness ratios (length to thickness ratios). The mixture rule formulation is applied to determine the equivalent properties of the macro-fiber composite (MFC) structure. The electromechanical properties of a representative volume element (RVE) bounded by two successive interdigitated electrodes are coupled to the overall electro-elastic dynamic model of the structure using the Timoshenko theory. Frequency response functions for the power and tip vibration displacement of the MFC bimorph beam are determined from the model. Experimental data from the literature are used to validate the improved results predicted by the model developed in this paper. A comparative analysis between the electromechanical responses predicted using a model based on Timoshenko and a model based on Euler-Bernoulli theory is conducted showing agreement, for harvesters with large slenderness ratios and discrepancies of up to 30 % for low slenderness ratios. It has also been shown that the model based on Euler-Bernoulli theory overestimates both the mechanical and the electrical responses for low slenderness ratios as the shear and rotary inertia effects are not negligible in this case.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{bouaziz-ermann_2937,

title = {Towards the Impossibility of Quantum Public Key Encryption with Classical Keys from One-Way Functions},

author = {Samuel Bouaziz-Ermann and Alex B. Grilo and Damien Vergnaud and Quoc Huy VU},

url = {https://doi.org/10.62056/ahvr-11zn4},

year  = {2024},

date = {2024-04-01},

journal = {IACR Communications in Cryptology},

volume = {1},

number = {1},

pages = {32},

abstract = {There has been a recent interest in proposing quantum protocols whose security relies on weaker computational assumptions than their classical counterparts. Importantly to our work, it has been recently shown that public-key encryption (PKE) from one-way functions (OWF) is possible if we consider quantum public keys. Notice that we do not expect classical PKE from OWF given the impossibility results of Impagliazzo and Rudich (STOC'89).



However, the distribution of quantum public keys is a challenging task. Therefore, the main question that motivates our work is if quantum PKE from OWF is possible if we have classical public keys. Such protocols are impossible if ciphertexts are also classical, given the impossibility result of Austrin et al.(CRYPTO'22) of quantum enhanced key-agreement (KA) with classical communication.



In this paper, we focus on black-box separation for PKE with classical public key and quantum ciphertext from OWF under the polynomial compatibility conjecture, first introduced in Austrin et al.. More precisely, we show the separation when the decryption algorithm of the PKE does not query the OWF. We prove our result by extending the techniques of Austrin et al. and we show an attack for KA in an extended classical communication model where the last message in the protocol can be a quantum state.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{khalloufi_2958,

title = {Evaluating the Accuracy of Cloud-based 3D Human Pose Estimation Tools: A Case Study of MOTiO by RADiCAL},

author = {Hamza Khalloufi and Mohamed Zaifri and Abdessamad Benlahbib and Fatima Zahra Kaghat and Ahmed Azough},

url = {https://thesai.org/Downloads/Volume15No4/Paper_6-Evaluating_the_Accuracy_of_Cloud_based_3D_Human_Pose.pdf},

year  = {2024},

date = {2024-04-01},

journal = {International Journal of Advanced Computer Science and Applications (IJACSA)},

volume = {15},

number = {4},

pages = {43-54},

abstract = {The use of 3D Human Pose Estimation (HPE) has become increasingly popular in the field of computer vision due to its various applications in human-computer interaction, animation, surveillance, virtual reality, video interpretation, and gesture recognition. However, traditional sensor-based motion capture systems are limited by their high cost and the need for multiple cameras and physical markers. To address these limitations, cloud-based HPE tools, such as DeepMotion and MOTiON by RADiCAL, have been developed. This study presents the first scientific evaluation of MOTiON by RADiCAL, a cloud-based 3D HPE tool based on deep learning and cloud computing. The evaluation was conducted using the CMU dataset, which was filtered and cleaned for this purpose. The results were compared to the ground truth using two metrics, the Mean per Joint Error (MPJPE) and the Percentage of Correct Keypoints (PCK). The results showed an accuracy of 98 mm MPJPE and 96% PCK for most scenarios and genders. This study suggests that cloud-based HPE tools such as MOTiON by RADiCAL can be a suitable alternative to traditional sensorbased motion capture systems for simple scenarios with slow movements and little occlusion.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{scuotto_2385,

title = {Knowledge management and technological innovation in family SMEs context},

author = {Veronica Scuotto and Simona Alfiero and Maria Teresa Cuomo and Filippo Monge},

url = {https://www.emerald.com/insight/content/doi/10.1108/JKM-04-2023-0281/full/html},

year  = {2024},

date = {2024-03-01},

journal = {Journal Of Knowledge Management},

volume = {28},

number = {3},

pages = {789-798},

abstract = {Purpose

This paper conceptually aims to discuss the dual role of knowledge management (KM) and technological innovation, which brings about innovations, although it can be limited by psychological and emotional ownership.



Design/methodology/approach

This study examines the real impact of the paper on KM and technological innovation in family small to medium enterprises (FSMEs). This is a unique context affected by psychological and emotional ownership. However, COVID-19 has forced FSMEs to consider new strategies and practices to preserve their competitive advantage.



Findings

In this scenario, knowledge exchange, knowledge absorption and technology adoption appear relevant to the innovation process. This study offers a framework for how the duality of KM and technological innovation affects innovation.



Originality/value

Although extant research has explored technological innovation outcomes, a literature review reveals that accumulated studies on the drivers of technological innovation and KM in the context of FSMEs require further inquiry. Family members' emotional ownership may foster KM because identification with organizational goals enhances individuals' willingness to access and share information and stimulates new products and technological development.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pelet_2450,

title = {Exploring how consumer cooperatives might strategically incorporate social media to distribute wine},

author = {Jean-Éric Pelet and Basma Taieb and Benoît Lecat and Nic S. Terblanche and Rami Alkhudary},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/cb.2255},

year  = {2024},

date = {2024-03-01},

journal = {Journal Of Consumer Behaviour},

volume = {23},

number = {2},

pages = {915-928},

abstract = {This research advances our understanding of disruptions to marketing channels in

the digital world by investigating the viability of consumer cooperative systems

which are envisioned as multi-actor constructed networks using social media

(SM) platforms. It introduces the concepts of ?social media consumer wine cooperator?

as a new distribution channel for wine and investigates the consumer's intention

to participate in an SM and become a wine cooperator. Relying on the uses and

gratifications theory (UGT), we adopted a quantitative research inquiry with data

gathered using an online survey involving a sample of 486 French consumers. We

empirically tested the relationships among four factors: attitude toward buying wine

based on SM recommendations, perceived risks, intention to buy wine on SM, and

consumer intention to become an SM wine cooperator. Findings indicate that the

intention to be an SM wine cooperator is positively correlated with attitude toward

buying wine based on SM recommendations and the intention to purchase wine on

SM. To finish with, we link the concept of the consumer wine co-op to the current

debate in the literature on centralized versus decentralized (built on top of blockchain

networks) social media platforms, opening the door for future research avenues.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kadri_2548,

title = {IVAL: Immersive Virtual Anatomy Laboratory for enhancing medical education based on virtual reality and serious games, design, implementation, and evaluation},

author = {Mohammed Kadri and Fatima Ezzahra Boubakri and Fatima Zahra Kaghat and Ahmed Azough and Khalid Alaoui Zidani},

url = {https://www.sciencedirect.com/science/article/pii/S1875952123000794?via%3Dihub},

year  = {2024},

date = {2024-03-01},

journal = {Entertainment Computing},

volume = {49},

pages = {100624},

abstract = {Learning anatomy is a complex subject that requires a thorough understanding of 3D structures, posing challenges with traditional teaching methods. Anatomy education often involves the use of cadavers, which can be expensive, time-consuming, and ethically complex. As a result, medical educators need effective ways to engage students and promote learning. Immersive virtual reality (IVR) and serious games (SGs) provide innovative and immersive learning experiences that enhance students' understanding and retention of anatomical concepts and improve the effectiveness of anatomy education. This work aims to develop and evaluate the effectiveness of IVAL,11Immersive Virtual Anatomy Laboratory. an Immersive Virtual Anatomy Laboratory, for immersive and engaging learning experiences. A study involving dozens of University students assessed the efficacy of this innovative tool, resulting in high levels of satisfaction, success, and learning outcomes. IVAL was found to be an effective tool in promoting learning and retention of anatomical concepts, with participants highly rating the tool regarding engagement and learning enhancement. This study demonstrates that immersion in a 3D representation of the skeletal system through VR is essential for a deep knowledge of anatomical learning. These results have important implications for medical educators because IVR technologies can enhance student learning and improve the effectiveness of medical education.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pignot_2558,

title = {Affect and relational agency: How a negative ontology can broaden our understanding of IS research},

author = {Edouard Pignot and Mark Thompson},

url = {https://www.sciencedirect.com/science/article/pii/S1471772723000544},

year  = {2024},

date = {2024-03-01},

journal = {Information And Organization},

volume = {34},

number = {1},

pages = {100500},

abstract = {The sociomaterial lens within IS research holds that agency should not be considered as a property

solely of humans, or of technology, but instead arises from an emergent interaction between

the two. This, emergent, account of agency deepens our understanding of unfolding IS practice,

but its largely cognitive orientation remains naïve towards affectively-sensed motivations that

also form part of this interaction. By implication, a sociomaterial perspective lacking an affective

dimension offers an incomplete conceptualisation of information systems. In response, an

affectively-informed negative ontology encourages IS researchers to extend their focus beyond the

visible, to encompass how actors' receptiveness towards material objects (discourses, technologies)

is shaped by deep, affectively-derived motivations of which they are not focally aware, but

which nonetheless acquire agency in contributing to a sociomaterial outcome. A central argument,

and illustrative empirical vignette, illustrate how the concepts of sociomateriality, affect,

and negative ontology combine to offer researchers an enhanced understanding of relational

agency. A discussion follows, exploring some initial ontological, epistemological and methodological

implications of an affectively-informed negative ontology for IS research.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{aloosh_2899,

title = {Direct Evidence of Bitcoin Wash Trading},

author = {Arash Aloosh and Jiasun Li},

url = {https://pubsonline.informs.org/doi/abs/10.1287/mnsc.2021.01448?af=R},

year  = {2024},

date = {2024-03-01},

journal = {Management Science},

abstract = {We use the internal trading records of a major Bitcoin exchange leaked by hackers to detect

and characterize wash trading ? a type of market manipulation in which a single trader clears

her own limit orders to ?cook? transaction records. Our finding provides direct evidence for

the widely-suspected ?fake volume? allegation against cryptocurrency exchanges, which has

so far only been backed by indirect estimation. We then use our direct evidence to evaluate

various indirect techniques for detecting the presence of wash trades and find measures based on

Benford's law, trade size clustering, lognormal distributions, and structural breaks to be useful,

while ones based on power law tail distributions to give opposite conclusions. We also provide

suggestions to effectively apply various indirect estimation techniques.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{tzanidis_2827,

title = {B2B green marketing strategies for European firms: Implications for people, planet and profit},

author = {Theofilos Tzanidis and Domitilla Magni and Veronica Scuotto and Adnane Maalaoui},

url = {https://doi.org/10.1016/j.indmarman.2024.01.018},

year  = {2024},

date = {2024-02-01},

journal = {Industrial Marketing Management},

volume = {117},

pages = {481-492},

abstract = {The present research addresses the gap in studies on B2B marketing comparing a diverse set of socio-economic factors (ROA and Tobin' s Q) and its effects on people, planet, and profit. Studies in the past have shown that firms haven't been able to gain a long-term competitive advantage by using environmental strategies. Hence, the research analyses how 371 B2B firms from developed and emerging European countries achieve competitive advantage through green marketing strategies. Additionally, those firms are also assessed in reference to their level of engagement with environmental, social, and governance strategies. Our findings highlight that the more the engagement in green marketing by B2B firms, the greater the green competitive advantage that B2B firms in developed European markets can achieve. Hence, the study explores the relationship of B2B marketing, environmental sustainability, and corporate profitability, providing insights into how European firms can balance their financial objectives with their social and environmental responsibilities. The originality of the research stressed the need to pursue social and environmental goals and to preserve the future of people, planet, and profit through green marketing strategies. Investing in future business models and green competitive advantage is especially important for B2B European emerging firms' markets.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zou_2435,

title = {Delivery network design of a locker-drone delivery system},

author = {Bipan Zou and Siqing Wu and Yeming Gong and Zhe Yuan and Yuqian Shi},

url = {https://www.tandfonline.com/doi/abs/10.1080/00207543.2023.2254402},

year  = {2024},

date = {2024-01-01},

journal = {International Journal Of Production Research},

volume = {62},

number = {11},

pages = {4097-4121},

abstract = {Drones are increasingly used for last-mile delivery due to their speed and cost-effectiveness. This study focuses on a novel locker-drone delivery system, where trucks transport parcels from the warehouse to lockers, and drones complete the final delivery. This system is ideal for community and intra-facility logistics. The research optimises the network design by determining the location of lockers, the number of drones at each locker, and the assignment of demands to lockers, minimising operating costs. Both single-parcel and multi-parcel capacity drones are examined. We build an optimisation model for each system, considering drone service capacity as a critical constraint. We design an algorithm combining average sample approximation and a genetic algorithm to address demand uncertainty. The algorithm's efficiency is validated through comparative analysis with Gurobi. Numerical experiments, using real and generated data, optimise the network design. Results show that the multi-capacity drone system requires fewer lockers and drones than the single-capacity system. Although the single-capacity system yields lower drone delivery costs, it incurs higher truck delivery costs. Additionally, a comprehensive cost analysis compares the cost-efficiency of the locker-drone system with a conventional drone delivery system, revealing the cost-saving advantage of the locker-drone system.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rmili_2653,

title = {New empirical test method to assess Reynolds dilatancy of concrete under free-surface flow},

author = {Yosra Rmili and Tien Tung Ngo and El-Hadj Kadri and Ammar Yahia and Masoud Hosseinpoor and Thuy Nguyen},

url = {https://www.sciencedirect.com/science/article/pii/S0950061823044835?via%3Dihub},

year  = {2024},

date = {2024-01-01},

journal = {Construction And Building Materials},

volume = {411},

pages = {134762},

abstract = {In this study, a new test method was proposed to evaluate the shear-induced volumetric changes, namely Reynolds dilatancy (RD), of sixteen conventional vibrated concrete (CVC) mixtures under free-surface flow. The RD measurements were carried out using a rheometer set-up and different vane-blade types rotating at different speeds. According to the experimental results, the RD values were found in good agreement with the workability of the investigated mixtures. Moreover, the RD values were well correlated with the coupled effect of the relative solid packing fraction of coarse aggregate (?/?max) and viscoplastic properties of the investigated CVC mixtures. Furthermore, a strong correlation was established between the rheological properties of the lubrication layer, RD values, and the ?/?max of coarse aggregate.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fitoussi_2701,

title = {Investigation of manufacturing process effects on microstructure and fatigue prediction in composite automotive tailgate design},

author = {Joseph Fitoussi and Samia Nouira and Khaled Benfriha and Mohamed Amine Laribi and Achraf Kallel and Robert Tie Bi and Mohammadali Shirinbayani},

url = {https://trebuchet.public.springernature.app/get_content/0b23264d-b090-4fd4-8009-ed9d9111d672?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=nonoa_20240116&utm_content=10.1007/s00170-024-12988-z},

year  = {2024},

date = {2024-01-01},

journal = {International Journal Of Advanced Manufacturing Technology},

volume = {130},

number = {7},

pages = {4295-4310},

abstract = {Manufacturing processes signifcantly infuence microstructural variations in short fber reinforced composites, which afect

damage characteristics and fatigue life. Accurate fatigue life prediction is critical, especially when considering the impact

of these manufacturing induced microstructural nuances. In this study, we investigate how manufacturing processes shape

microstructures and their impact on fatigue life prediction. We present an advanced micromechanical model for predicting

fatigue life in tangible structures, considering the microstructure distribution infuenced by manufacturing dynamics. Our

model links damage from monotonic loading to fatigue life, resulting in a multi-scale fatigue prediction model. This approach

builds a database revealing the interaction between Tsai-Wu failure criterion parameters, manufacturing-induced microstructural variations, and target fatigue life. Using these insights, we fne-tune material properties in fnite element simulations for

precise design optimization. We illustrate our method using an automotive tailgate made from a sheet molding compound.

This research highlights the critical role of manufacturing processes in microstructure variation and fatigue life prediction.

It ofers the potential for signifcant vehicle weight reduction, energy savings, and reduced emissions in automotive design

and promises to be a valuable tool for optimizing manufacturing process parameters.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}