A new insert drawing technique for controlling ore loss and dilution during sublevel caving by Xiaojing Meng, Tao Long, Xinyu Shi, Liyuan Wang, Zhonghua Zhu, Ganqiang Tao

“…However, the flow of waste rocks, ore-rock contact and its control in the drawing process are not deeply studied. This study analyzed the main causes of these issues and the formation mechanism of waste rock funnels, proposing the insert drawing method (IDM) to reduce ore loss and dilution. …”
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A Multi-Level Knowledge Distillation for Enhanced Crop Segmentation in Precision Agriculture by Zhiyong Li, Lan Xiang, Jun Sun, Dingyi Liao, Lijia Xu, Mantao Wang

“…Additionally, we integrated an enhanced attention mechanism into the framework, which effectively strengthens and fuses key crop-related features during the distillation process, thereby further improving the model’s performance and image understanding capabilities. …”
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Convergence research for sustainable regional systems by Heejun Chang, Brian Roe, Murat Erkoc, Josiah Heyman, Katherine Foo, Debankur Sanyal, Debjyoti Banerjee, Richard Rushforth, Jaishri Srinivasan

“…Summary: Convergence research addresses societal and environmental challenges by co-creating knowledge across disciplinary boundaries, often in deep collaboration with extra-academic parties to ensure that the research process is solution-focused, actionable, and just. …”
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The Structural Design and Optimization of a Railway Fastener Nut Disassembly and Assembly Machine by Xiangang Cao, Guoyin Chen, Mengzhen Zuo, Jiasong Zang, Peng Wang, Xudong Wu

“…During the maintenance of railway fasteners, there are issues with the current nut disassembly and assembly operation, including low efficiency, heavy reliance on manual labor, and high physical strain. …”
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Identifying Settler Colonial Determinants of Health (SCDH) as the Upstream Cause of Palestinian Ill Health Is Both Incorrect and Harmful by Linda Young Landesman, Maya Korin, Stacey Plichta, Brian Englander, Ora Paltiel, Public Health Professionals Against Antisemitism Working Group

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Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Demodulation by Kenta Ito, Takumi Takahashi, Kengo Furuta, Shinsuke Ibi, Giuseppe Thadeu Freitas de Abreu

“…In doubly-selective fading channels, since the Doppler shift breaks the orthogonality between subcarriers, the signal demodulation process requires estimating the path gains and data symbols from the high-dimensional signals that are multiplexed in the frequency-time (FT) domain. …”
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BACAD: AI-based framework for detecting vertical broken access control attacks by Ahmed Anas, Ayman A. Alhelbawy, Salwa El Gamal, Basheer Youssef

“…Vertical Broken Access Control (VBAC) vulnerability is one of the most commonly identified issues in web applications, posing significant risks. …”
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Detection of Epilepsy Disorder Using Spectrogram Images Generated From Brain EEG Signals by Venkatesh Bhandage, Tejeswar Pokuri, Devansh Desai, Andrew Jeyabose

“…Epilepsy (EP) is a persistent neurological condition of chronic brain disorder characterized by repeated seizures and causes psychological issues such as anxiety and depression. There is a need to detect the presence of epilepsy at an earlier stage with the help of technological intervention. …”
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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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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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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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Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors by Chipeng Cao, Jie Li, Pan Wang, Weiqiang Jin, Runrun Zou, Chun Qi

“…To address this issue, we propose a hyperspectral reconstruction method based on global gradient information and local low-rank priors. …”
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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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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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RGB-T Object Detection With Failure Scenarios by Qingwang Wang, Yuxuan Sun, Yongke Chi, Tao Shen

“…First, we design a multidimensional incremental information generation module based on a diffusion model, which reconstructs the unstable information of RGB-T images through the reverse diffusion process using the original fusion feature map. To further address the issue of redundant information in existing RGB-T object detection models, a redundant information suppression module is introduced, minimizing cross-modal redundant information based on mutual information and contrastive loss. …”
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Evaluation of different scale-up strategies for Haematococcus pluvialis cultivation in airlift photobioreactors by Bahar Aslanbay Güler, İrem Deniz, Zeliha Demirel, Esra İmamoğlu

“…Large scale algal biomass production can be very challenging due to the potential issues of sustainability, environmental ethics, and economic concerns. …”
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