Big data and data science in global governance: anticipating future needs and applications in the UN and beyond by Lanxin Li, Jiarou Wang, Xi Wang, Peng Peng, Jiaying Shen, Haining Zhu, Ziyang Zhang

“…We assess technical, ethical, and organizational challenges, including data quality inconsistencies, interoperability issues, privacy concerns, algorithmic bias, and resource constraints that impede the full integration of big data into governance systems. …”
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Bridging Technology and Justice: The Role of AI in Law Enforcement through Pancasila’s Ideals by Wijayanti Annisa Tunjung, Anggraeni Dita Septia, Dewi Dyah Adriantini Sintha, Hakim Hary Abdul, Kurniaty Yulia, Basri, Setiawati Diana

“…AI technologies, such as predictive policing systems and facial recognition, have the potential to streamline operations, reduce human errors, and accelerate decision-making processes. However, the implementation of these technologies also raises numerous ethical issues, particularly concerning privacy, fairness, transparency, and accountability. …”
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Catalysts in the water-gas shift reaction: A comparative review of industrial and academic contributions by Roshni Patel, Prashandan Varatharajan, Qi Zhang, Ze Li, Sai Gu

“…Additionally, research has been done on conventional Cu-Zn and Fe-Cr catalysts in the lab to overcome issues like sintering and chromium toxicity, respectively. …”
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Functional hydrogel empowering 3D printing titanium alloys by Weimin Zhang, Jiaxin Zhang, He Liu, Yang Liu, Xiao Sheng, Sixing Zhou, Tiansen Pei, Chen Li, Jincheng Wang

“…However, the primary drawbacks of traditional titanium alloy prosthesis are their much higher elastic modulus than cancellous bone and poor interfacial adhesion, which lead to poor osseointegration. 3D-printed porous titanium alloys can partly address these issues, but their bio-inertness still requires modifications to adapt to different physiological and pathological microenvironments. …”
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WeatherClean: An Image Restoration Algorithm for UAV-Based Railway Inspection in Adverse Weather by Kewen Wang, Shaobing Yang, Zexuan Zhang, Zhipeng Wang, Limin Jia, Mengwei Li, Shengjia Yu

“…This framework introduces a Weather Complexity Adjustment Factor (WCAF) in a parameterized adjustable network architecture to process weather degradation of varying degrees adaptively. …”
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Designing structured postgraduate training programs using agile methods by Hopf, Luke S., Doerry, Katja, Grzybowski, Ann-Kristin, Hermann, Katharina, Johannsen, Jessika, Stadlhofer, Aloisa, Krumm, Michael, van der Meer, Frauke, Paul, Kevin, Leal, Nuno Ramos, Muntau, Ania C., Gersting, Søren W.

“…The basis for this development was provided in Germany with the implementation of the “Standard Framework for Postgraduate Medical Training” (Musterweiterbildungsordnung) issued by the German Medical Association (Bundesärztekammer). …”
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Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction by Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz

“…The assessment of urban quality of life (UQoL) is a multidimensional challenge involving socioeconomic, environmental, and infrastructure-related variables that, due to changes in the behavior and structures of social issues, requires robust and effective analytical techniques. …”
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Strategies for Reducing Operating Voltage of Ferroelectric Hafnia by Decreasing Coercive Field and Film Thickness by Dong In Han, Hyojun Choi, Dong Hyun Lee, Se Hyun Kim, Jaewook Lee, Intak Jeon, Chang Hwa Jung, Hanjin Lim, Min Hyuk Park

“…Overall, the importance of precise material and process control to overcome current technical limitations in device scalability and reliability is emphasized, casting an optimistic outlook on the future of ferroelectric memory technology.…”
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Bearing Fault Diagnosis Based on Time–Frequency Dual Domains and Feature Fusion of ResNet-CACNN-BiGRU-SDPA by Jarula Yasenjiang, Yingjun Zhao, Yang Xiao, Hebo Hao, Zhichao Gong, Shuaihua Han

“…Second, the long sequence time-domain signal is processed by a ResNet residual block structure, and a CACNN method is proposed to realize local feature extraction of the frequency-domain signal. …”
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Toward equity in cultivating a “garden of mentors:” An exploration of networking experiences in an implementation research training program by Loni J. Parrish, Amanda Gilbert, Kate Hoppe, Gloria D. Coronado, Karen M. Emmons, Amy A. Eyler, Debra Haire-Joshu, Rebekah R. Jacob, Alison B. Hamilton, Shelly J. Kannuthurai, Ross C. Brownson

“…Qualitative data showed a lack of connection, reluctance to network, and systematic issues including institutional biases as possible drivers of group differences. …”
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Status and Development Prospects of Solar-Powered Unmanned Aerial Vehicles—A Literature Review by Krzysztof Sornek, Joanna Augustyn-Nadzieja, Izabella Rosikoń, Róża Łopusiewicz, Marta Łopusiewicz

“…First, the general classification of unmanned aerial vehicles is presented. Then, the design process of solar-powered unmanned aerial vehicles is discussed, including issues such as the structure and materials used in solar-powered aircraft, the integration of solar cells into the wings, the selection of appropriate battery technologies, and the optimization of energy management to ensure their efficient and reliable operation. …”
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How enterprise risk management mediates the relationship between board size and corporate social responsibility: Evidence from GCC Islamic banks by Awatif Hodaed Alsheikh, Warda Hodaed Alsheikh, Tamader Alsalami

“…Thus, the larger boards are important for effective risk management and more transparency on issues of corporate social responsibility, which can improve the organization’s reputation and strengthen stakeholder confidence.…”
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Exclusion and Othering in maternity care for forced migrant women: a qualitative study with forced migrant mothers and health care professionals in Germany by Martha Engelhardt, Mathilde Gaudion, Elizabeth Mohr, Jasmin Kamhiye, Razan Al Munjid, Liane Schenk, Theda Borde

“…This is the first qualitative study in Germany to explore these issues from both the perspective of forced migrant mothers and HCPs across regions.…”
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Resource Allocation With Edge-Cloud Collaborative Traffic Prediction in Integrated Radio and Optical Networks by Bowen Bao, Hui Yang, Qiuyan Yao, Lin Guan, Jie Zhang, Mohamed Cheriet

“…Therefore, an efficient resource allocation scheme needs to consider certain issues: 1) a comprehensive perspective of traffic prediction; 2) a release of pressure on the transmission pipeline during the prediction process; and 3) a reduction of loss of edge nodes due to the computation. …”
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Understanding one health challenges in marginalized urban settings: A patient and public involvement (PPI) approach from the CHIP consortium activities across four global cities by Logan Manikam, Darlington David Faijue, Kalpita Shringarpure, Margi Sheth, Pam Factor-Livak, Priti Parikh, Hector Altamirano-Medina, Dewi Nur Aisyah, Radhika Sharma, Hemant Chaturvedi, Kaushik Sarkar, Rajib Dasgupta, Nancy Hiu Lan Leung, Pradeep Kumar Srivastava, Monica Lakhanpaul

“…Engaging communities fostered trust and provided locally relevant solutions to complex health issues like AMR. Future interventions should be co-designed with communities to address social determinants like sanitation and healthcare access for sustainable outcomes.…”
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Multi-UAV Obstacle Avoidance and Formation Control in Unknown Environments by Yawen Li, Pengfei Zhang, Zhongliu Wang, Dian Rong, Muyang Niu, Cong Liu

“…To address the issues of local minima, target unreachability, and significant formation disruption during obstacle avoidance in the conventional artificial potential field (APF), a control approach that integrates APF with optimal consensus control which can achieve cooperative obstacle avoidance is proposed. …”
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Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

“…Traditional climate prediction models largely rely on the simulation of physical processes. While they have achieved some success, these models still face issues such as complexity, high computational cost, and insufficient handling of multivariable nonlinear relationships.MethodsIn light of this, this paper proposes a hybrid deep learning model based on Transformer-Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) to improve the accuracy of climate predictions. …”
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Supply Chain Management in Smart City Manufacturing Clusters: An Alternative Approach to Urban Freight Mobility with Electric Vehicles by Agnieszka Deja, Wojciech Ślączka, Magdalena Kaup, Jacek Szołtysek, Lyudmyla Dzhuguryan, Tygran Dzhuguryan

“…This study should prove useful for decision-making and planning processes related to LMPD in CMFMCs and large cities.…”
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Edaphic factors mediate the response of nitrogen cycling and related enzymatic activities and functional genes to heavy metals: A review by Tracy Opande, Mengru Kong, Di Feng, YuHong Wen, Nathan Okoth, Ali Mohd Yatoo, Fatma Mohamed Ameen Khalil, Ahmed S. Elrys, Lei Meng, Jinbo Zhang

“…Soil nitrogen (N) transformations control N availability and plant production and pose environmental concerns when N is lost, raising issues such as soil acidification, water contamination, and climate change. …”
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Municipal surface water valorization for clean water recovery and heavy metal removal towards a circular economy by Kedi Li, Yuxuan Liu, Mo Xie, Haoxiang Li, Sangyi Li, Chenyu Wang, Linyinxue Dong, Jungbin Kim

“…The circular economy approach can address these issues by valorizing municipal surface water. Therefore, this study evaluates the feasibility of valorizing municipal surface water for clean water production and heavy metal removal using RO and mechanical vapor compression (MVC). …”
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