A Comparison of Tensile and Flexural Properties of Jute Mat Epoxy-Based Composites Treated with Different Alkaline Solutions by Aseel M. Abdullah

“…An alkali chemical treatment with different types of solutions (NaOH, KOH, and LiOH) and concentrations (2%, 4%, and 6% wt) was used to treat jute fibers with the point of enhancing the ability of adhesion between the surface of the jute mat and epoxy resin. …”
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Task Scheduling Framework of Multi-stage and Multi-strategy for Remote Sensing Satellites by Qunbin YUE, Xijie SHANG, Xiaoyong LIN, Wei FU

“…., and the randomness of emergency events is greatly improved.The traditional periodic centralized mission planning framework is gradually unable to meet the requirements of high timeliness and high response.By analyzed the types and changing rules of the external environment of the system, the task planning framework of segmented sub-strategy adjustment was designed, as well as the corresponding scheduling strategy and object state management mechanism, and the efficient response ability to emergency emergencies was realized.The technical framework was adopted in a remote satellite mission management and control system project and the corresponding software was developed.The actual operation results of the system showed that the technical framework of mission planning with segmented strategy proposed in this paper basically met the requirements of high adaptability and high response caused by dynamic changes of external environment, and greatly improved the automation degree and timeliness index of the system.…”
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A novel framework for esophageal cancer grading: combining CT imaging, radiomics, reproducibility, and deep learning insights by Muna Alsallal, Hanan Hassan Ahmed, Radhwan Abdul Kareem, Anupam Yadav, Subbulakshmi Ganesan, Aman Shankhyan, Sofia Gupta, Kamal Kant Joshi, Hayder Naji Sameer, Ahmed Yaseen, Zainab H. Athab, Mohaned Adil, Bagher Farhood

“…The study used two deep learning models—DenseNet121 and EfficientNet-B0—enhanced with attention mechanisms to improve accuracy. …”
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Multi task detection method for operating status of belt conveyor based on DR-YOLOM by Yongan LI, Tengjie CHEN, Hongwei WANG, Zhihao ZHANG

“…Secondly, as the model requires target recognition and segmentation of different types of tasks, an efficient layer aggregation network (RepGFPN) with skip layer connection structure is adopted to optimize the feature fusion part, greatly improving the detection accuracy of the model for different detection tasks while controlling the number of model parameters and inference speed; Finally, to address the detection tasks of three different label shapes, the Inner CIOU loss function is introduced to compensate for the weak generalization ability of the CIoU loss function in different detection tasks. …”
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Machine learning-based risk prediction model for pertussis in children: a multicenter retrospective study by Juan Xie, Run-wei Ma, Yu-jing Feng, Yuan Qiao, Hong-yan Zhu, Xing-ping Tao, Wen-juan Chen, Cong-yun Liu, Tan Li, Kai Liu, Li-ming Cheng

“…Objective The aim of this study was to develop a pertussis risk prediction model that is both efficient and has good generalization ability, applicable to different datasets. …”
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Degradation of agricultural polyethylene film by greater wax moth (Galleria mellonella) larvae and screening of involved gut bacteria by Qing Ma, Yule Qian, Weisi Su, Lanxin Shi, Enjun Wang, Aixian Yu, Junjie Zheng, Yin Lu

“…Agricultural polyethylene (PE) mulch films persist in ecosystems, demanding efficient biodegradation. Previous studies have demonstrated the ability of greater wax moth (Galleria mellonella) larvae to feed on plastic bags and foams. …”
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A microbial microencapsulation design of seed coating technology to boost wheat seed performance in saline soil by Min Gong, Mengchao Zheng, Xiaobin Li, Yuyi Li, Zhigang Qiao, Yan Ren, Guohua Lv

“…The encapsulation process was optimized to achieve high efficiency, and the resulting microcapsules were evaluated for storage stability. …”
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DCE-YOLOv8: Lightweight and Accurate Object Detection for Drone Vision by Jinsu An, Dong Hee Lee, Muhamad Dwisnanto Putro, Byeong Woo Kim

“…To effectively detect small objects, it is imperative to either enhance the resolution of drone images or efficiently extract the features of small objects. Additionally, the efficient integration of these extracted features is crucial. …”
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Gemmatirosa adaptations to arid and low soil organic carbon conditions worldwide by Yuanyuan Bao, Tadeo Sáez-Sandino, Youzhi Feng, Xuebin Yan, Shiying He, Shilun Feng, Ruirui Chen, Hui Guo, Manuel Delgado-Baquerizo

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Bismuthyl chloride/poly(m-toluidine) nanocomposite seeded on poly-1H pyrrole: Photocathode for green hydrogen generation by Alnuwaiser Maha Abdallah, Rabia Mohamed, Elsayed Asmaa M.

“…The photocathode’s high efficiency is further demonstrated by its ability to produce 15 µmol/h of H2 gas for a 10 cm² area. …”
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Online variational Gaussian process for time series data by Weidong Wang, Mian Muhammad Yasir Khalil, Leta Yobsan Bayisa

“…We validate the effectiveness and efficiency of our approach through both synthetic examples and real-world experiments. …”
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Optimization of Flight Scheduling in Urban Air Mobility Considering Spatiotemporal Uncertainties by Lingzhong Meng, Minggong Wu, Xiangxi Wen, Zhichong Zhou, Qingguo Tian

“…The vigorous development of urban air mobility (UAM) is reshaping the urban travel landscape, but it also poses severe challenges to the safe and efficient operation of dense and complex airspace. …”
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RSNet: Compact-Align Detection Head Embedded Lightweight Network for Small Object Detection in Remote Sensing by Qing Dong, Tianxin Han, Gang Wu, Baiyou Qiao, Lina Sun

“…These findings confirm RSNet’s ability to balance high detection accuracy with computational efficiency, making it highly suitable for real-time applications on resource-constrained platforms such as satellite-based remote sensing systems or edge computing devices used in remote sensing applications.…”
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Self-sovereign management scheme of personal health record with personal data store and decentralized identifier by Tong Min Kim, Taehoon Ko, Byoung Woo Hwang, Hyung Goo Paek, Wan Yeon Lee

“…Despite progress in standardizing healthcare data with the FHIR format, hospitals often lack efficient platforms for transferring PHRs, leading to redundant tests and delayed treatments. …”
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Optimizing 5G resource allocation with attention-based CNN-BiLSTM and squeeze-and-excitation architecture by Anfal Musadaq Rayyis, Mohammad Maftoun, Maryam Khademi, Emrah Arslan, Silvia Gaftandzhieva

“…IntroductionThe swift advancement of computational capabilities has rendered deep learning indispensable for tackling intricate challenges. In 5G networks, efficient resource allocation is crucial for optimizing performance and minimizing latency. …”
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Full-waveform Small-footprint LiDAR Multi-target Echo Waveform Lightweight Detection by Spatio-temporal Coupling Models by Zhen XIAO, Yanfeng GU, Yanze JIANG, Xian LI

“…Small-footprint full-waveform Light Detection And Ranging (LiDAR) exhibits significant application potential owing to its high penetration capability and ability to capture complete echo data. However, the efficient and accurate processing of massive echo signals remains a crucial challenge for practical use, particularly in advancing waveform decomposition technology. …”
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Methods and technologies of disposal of poly-chloride biphenyls in transformer oils by V. M. Bel’Kov

“…It is shown that a reliable, environmentally friendly and efficient process does not exist, and, apparently, it is impossible to create a completely environmentally friendly process. …”
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Chitosan-grafted β-ketosulfones@naphthalene and pyridine molecules/Ag nanocomposites for the catalytic degradation of organic pollutants by Raed H. Althomali, Khaled A. Alamry, Mahmoud A. Hussein, Mohamed A. Abdel-Fadeel

“…The maximum reduction reaction was anticipated by the pseudo-second-order approach which served as an ideal match to the empirical observations. Leveraging an efficient catalyst (Cs-β-KS)naph / Ag nanocomposites facilitated the efficient removal of p-nitro-phenol and dye molecules. …”
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Improving P-Doped DBRs Operation at Cryogenic Temperatures: Investigating Different Mirror Geometry by Behzad Namvar, Topi Uusitalo, Heikki Virtanen, Mircea Guina, Jukka Viheriala

“…The use of vertical-cavity-surface-emitting lasers with ability to operate at cryogenic temperatures (Cryo-VCSELs) is a promising path to implement optical data links between superconducting processors maintained in cryogenic environments (4 K range) and room temperature (RT) computing hardware. …”
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Evolutionary Algorithms for Edge Server Placement in Vehicular Edge Computing by A. Surayya, Md Muzakkir Hussain, V. Dinesh Reddy, Ashu Abdul, Firoj Gazi

“…It provides low-latency and energy-efficient services by offloading computation to the network edge. …”
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