Underlying factors and strategies for organizational BIM capabilities : The case of Iran by Rajabi, Mohammad Sadra, Rezaeiashtiani, Mohammad, Afiqah, Radzi, Famili, Alireza, Rezaeiashtiani, Amirhossein, Abdul Rahimi, Abdul Rahman

“…Industry professionals and policymakers can use these findings to develop strategic plans and to prioritize efforts. …”
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Mechanical properties and antioxidant activity of carrageenan-cellulose nanofiber incorporated butylated hydroxyanisole as active food packaging by Wan Amnin, Wan Yahaya, Syed Mohd Saufi, Tuan Chik, Nurul Aini, Mohd Azman, Adibi, M. Nor, Khadijah Husna, Abd Hamid, Azilah, Ajit

“…The contact angle results revealed interesting trends, indicating changes in the film's surface properties with increasing BHA concentration. These findings suggest that the new formulation of active films may offer a viable alternative for plastic food packaging. …”
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Systematic literature review: Lean ergonomics analysis in small & medium enterprises (SMEs) manufacturing sector by Norhana, Mohd Aripin, Fatimah, Mahmud, Lee, Khai Loon, Hussain, Suhaidah

“…The study followed a structured review protocol, formulating research questions and systematically searching the Scopus and WoS databases. The findings reveal several key points: (1) SMEs commonly implement ergonomics principles addressing awkward postures, repetitive movements, manual material handling, hand-wrist postures, excessive reach, grip strength, and prolonged standing; (2) Lean principles such as SMED, 5S, standardized work, TPM, VSM, and kanban positively impact ergonomics; (3) Various ergonomics assessment methods, including REBA, RULA, HFE, JSI, KIM, OCRA, and Shoaf’s model, are recommended for future research and practical application; (4) Ergonomics can underpin lean transformation efforts, with Lean Manufacturing (LM) contributing to reduced ergonomics risks. …”
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From COVID-19 to monkeypox: a novel predictive model for emerging infectious diseases by Xu, Deren, Chan, Weng Howe, Habibollah, Haron, Nies, Hui Wen, Moorthy, Kohbalan

“…By transferring features from a COVID-19 dataset to a monkeypox dataset and introducing dynamically updated incremental learning techniques, the model's predictive capability in data-scarce scenarios was significantly improved. The research findings demonstrate that the blending framework performs exceptionally well in short-term (7-day) predictions. …”
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Needs analysis for developing online task-based speaking skills module for TVET learners by Mohd Khirulnizam, Musa, Azwin Arif, Abdul Rahim

“…Purposive sampling was used to ensure representation from diverse vocational backgrounds. The findings reveal that TVET learners primarily require enhanced skills in professional communication, including presentations, negotiations, and technical explanations. …”
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Chatgpt for english language learning in islamic studies by Nor Yazi, Khamis, Wan Zahidah, Wan Sulaiman

“…It emphasises the possibility of enhanced language learning outcomes. The study’s findings have broad significance for educators, institutions, and policymakers. …”
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Characterization of residual soil properties on slope in Dusun UTM, Johor by Norhidayah, Mohamed, Muhammad Farhan, Zolkepli, Ahmad Safuan, A. Rashid, Muhammad Syamsul Imran, Zaini, Mohd Fakhrurrazi, Ishak

“…Moreover, increasing confining pressures applied to the soil sample led to enhancement in the soil’s strength properties. These findings provide valuable insights into the soil’s behavior, which can inform strategies for improving slope stability and mitigating risks associated with slope failure.…”
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Adaptive social networks promote the wisdom of crowds by Almaatouq, Abdullah, Noriega-Campero, Alejandro, Alotaibi, Abdulrahman, Krafft, P. M., Moussaid, Mehdi, Pentland, Alex

“…To explain these results, we explore two mechanisms: 1) a global-adaptation mechanism where the structural connectivity of the network itself changes such that it amplifies the estimates of high-performing members within the group (i.e., the network “edges” encode the computation); and 2) a local-adaptation mechanism where accurate individuals are more resistant to social influence (i.e., adjustments to the attributes of the “node” in the network); therefore, their initial belief is disproportionately weighted in the collective estimate. Our findings substantiate the role of social-network plasticity and feedback as key adaptive mechanisms for refining individual and collective judgments.…”
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Quantization Games on Social Networks and Language Evolution by Mani, Ankur, Varshney, Lav R., Pentland, Alex

“…Numerical examples demonstrate our findings.…”
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Summarized Causal Explanations For Aggregate Views by Youngmann, Brit, Cafarella, Michael, Gilad, Amir, Roy, Sudeepa

“…Using background knowledge captured in a causal DAG, CauSumX finds the most effective causal treatments for different groups in the view. …”
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Impacts of the Sudden Stratospheric Warming on Equatorial Plasma Bubbles: Suppression of EPBs and Quasi-6-Day Oscillations by Aa, Ercha, Pedatella, Nicholas M., Liu, Guiping

“…The combination of these multi-instrument observations and numerical simulations demonstrates that certain planetary waves like the Q6DW can significantly influence the day-to-day variability of EPBs, especially during the SSW period, through modulating the strength of prereversal enhancement and the growth rate of R-T instability via the wind-driven dynamo. These findings provide novel insights into the connection between atmospheric planetary waves and ionospheric EPBs.…”
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AI Comes Out of the Closet: Using AI-Generated Virtual Characters to Help Individuals Practice LGBTQIA+ Advocacy by Pillis, Daniel, Pataranutaporn, Pat, Maes, Pattie, Sra, Misha

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Bioadhesive interface for marine sensors on diverse soft fragile species by Duque Londono, Camilo, Cones, Seth F, Deng, Jue, Wu, Jingjing, Yuk, Hyunwoo, Guza, David E, Mooney, T Aran, Zhao, Xuanhe

“…Reliable and rapid adhesion enables large-scale, multi-animal sensor deployments to study biomechanics, collective behaviors, interspecific interactions, and concurrent multi-species activity. These findings provide a promising method to expand a burgeoning research field of marine bio-sensing from large marine mammals and fishes to small, soft, and fragile marine animals.…”
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G-VOILA: Gaze-Facilitated Information Querying in Daily Scenarios by Wang, Zeyu, Shi, Yuanchun, Wang, Yuntao, Yao, Yuchen, Yan, Kun, Wang, Yuhan, Ji, Lei, Xu, Xuhai, Yu, Chun

“…Based on the quantitative and qualitative findings, we developed a design framework for the G-VOILA paradigm, which effectively integrates the gaze data with the in-situ querying context. …”
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Molecular Self‐Assembly Enables Tuning of Nanopores in Atomically Thin Graphene Membranes for Highly Selective Transport by Jang, Doojoon, Bakli, Chirodeep, Chakraborty, Suman, Karnik, Rohit

“…This improved membrane selectivity enables desalination across centimeter-scale nanoporous graphene with 99.7% and >90% rejection of MgSO4 and NaCl, respectively, under forward osmosis. These findings provide a versatile strategy to augment the performance of nanoporous atomically thin membranes and present intriguing possibilities of controlling reactions across 2D materials via exclusive exploitation of pore size-dependent intermolecular interactions.…”
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On the geometry and refined rate of primal–dual hybrid gradient for linear programming by Lu, Haihao, Yang, Jinwen

“…We show that there are two major stages of PDHG for LP: in Stage I, PDHG identifies active variables and the length of the first stage is driven by a certain quantity which measures how close the non-degeneracy part of the LP instance is to degeneracy; in Stage II, PDHG effectively solves a homogeneous linear inequality system, and the complexity of the second stage is driven by a well-behaved local sharpness constant of the system. This finding is closely related to the concept of partial smoothness in non-smooth optimization, and it is the first complexity result of finite time identification without the non-degeneracy assumption. …”
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Environmental justice teaching in an undergraduate context: examining the intersection of community-engaged, inclusive, and anti-racist pedagogy by Rabe, Christopher

“…Using a multi-case study design, primary findings showed that faculty members held activist course objectives, which led to distinct community-engaged practices, such as the invitation of diverse guest educators, inclusion of readings from diverse authors, field experiences with EJ communities, and the integration of alternative ways of knowing that resist Eurocentric biases. …”
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Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks by Wang, Qingyi, Wang, Shenhao, Zhuang, Dingyi, Koutsopoulos, Haris, Zhao, Jinhua

“…Prob-GNNs also reveal the spatiotemporal pattern of uncertainty, which is concentrated on the afternoon peak hours and the areas with large travel volumes. Overall, our findings highlight the importance of incorporating randomness into deep learning for spatiotemporal ridership prediction. …”
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The US–China Trade War: Quantify the Negative Shocks to Local Housing Markets and Land-Based Finance in Chinese Cities by Li, Boning, Liao, Wen-Chi, Sun, Weizeng, Zeng, Yongxuan, Zheng, Siqi

“…This article applies 2016–2019 data to a shift-share analysis and finds the following. Imposed by the US on imports from China, the retaliatory tariffs hurt Chinese cities’ production and caused employment and wage declines and firm exit. …”
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Design thinking in physical and virtual environments: Conceptual foundations, qualitative analysis, and practical implications by Minet, Alice, Wentzel, Daniel, Raff, Stefan, Garbas, Janina

“…Next, we pursued an exploratory qualitative study by conducting 41 in-depth interviews with DT experts from research and practice. Our findings show that the DT format has profound effects across all phases of the DT process. …”
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