Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification by Xuebin Tang, Ke Zhang, Xiaolei Zhou, Lingbin Zeng, Shan Huang

“…Additionally, to address suboptimal training issues, EBCNN employs a dynamic curriculum learning strategy underpinned by a confidence-aware loss function, Superloss, enabling progressive binarization and enhancing its classification effectiveness. …”
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Reimagining recruitment: traditional methods meet AI interventions- A 20-year assessment (2003–2023) by Aaradhana Rukadikar, Komal Khandelwal, Uma Warrier

“…AI skills can be improved by HR personnel and training programs, and resource distribution ought to be based on perceived utility. …”
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Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform by Jingjing Zhao, Chang Zhu, Bo Leng, Jiantao Qi

“…For posture recognition, this study also utilizes the relatively mature MediaPipe algorithm, which ensures high accuracy of the entire intelligent referee system’s ruling and meets the needs of current students. …”
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Empirical Analysis of Productivity among Broiler Farmers by Godfrey Onuwa

“…Profitability and productivity and analysis are important considerations in measuring efficiency or performance of a farm business; hence, improved output and income are not only a function of increase in the scale of production, but also how efficiently the resources are being utilized. …”
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Site-specific prediction of O-GlcNAc modification in proteins using evolutionary scale model. by Ayesha Khalid, Afshan Kaleem, Wajahat Qazi, Roheena Abdullah, Mehwish Iqtedar, Shagufta Naz

“…Furthermore, future studies should focus on more diverse data types, longer protein sequence lengths, and higher computational resources to evaluate various parameters. Accurate prediction of O-GlcNAc sites might enhance the investigation of the site-specific functions of proteins in physiology and diseases.…”
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Transcriptional activation of BolBCAT4 genes enhanced aliphatic glucosinolate accumulation in cabbage by Chengtai Yan, Jiahao Zhang, Wenjing Yang, Yao Liu, Xue Bai, Qi Zeng, Xifan Liu, Yanjing Ren, Yanjing Ren, Dengkui Shao, Dengkui Shao, Baohua Li

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Visual localization in urban environments employing 3D city models by Y. Loeper, M. Gerke, A. Alamouri, A. Kern, M. S. Bajauri, P. Fanta-Jende

“…In contrast to the most commonly used sources for scene representation in visual localization, such as structure-from-motion (SfM) points clouds, CityGML models are already freely available for many cites worldwide, do not require a large amount of memory and the scene representation database does not have to be generated from images. …”
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Chemometrically assisted optimization and validation of the HPLC method for the analysis of alectinib and its related impurity with measurement uncertainty evaluation and whiteness... by Serkan Levent, Abeer Elriş, Hazal Avcı, Saniye Özcan, Nafiz Öncü Can

“…This made it possible to find and measure the sources of uncertainty as well as the factors that affected the chromatographic responses. …”
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Optimizing hospital length of stay and bed allocation using a fuzzy stochastic transportation problem framework with lomax distribution, by Dr.D. Kalpanapriya, Pullooru Bhavana

“…Managing hospital Length of Stay (LOS) is essential for improving patient flow and resource utilization. This study introduces the Fuzzy Stochastic Transportation Problem with Lomax Distribution (FSTPWLD) as a framework to address LOS variability. …”
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Enantioselective adsorption on chiral ceramics with medium entropy by Chao Chen, Yinglin Ma, Kunda Yao, Qingmin Ji, Wei Liu

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The conflict between oral health and patient autonomy in dentistry: a scoping review by Szilárd Dávid Kovács, Anggi Septia Irawan, Szilvia Zörgő, József Kovács

“…Two researchers developed a hierarchical coding scheme, where the parent and grandparent codes were designated deductively as: Case (situations involving the researched ethical dilemma), Judgement (decisions made in the ethical dilemma), and Principle (ideas, rules, propositions explaining the judgements); child codes were developed inductively. After coding the sources, we utilized thematic analysis to construct code constellations. …”
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Intelligent Wireless Power Scheduling for Lunar Multienergy Systems: Deep Reinforcement Learning for Real-Time Adaptive Beam Steering and Vehicle-to-Grid Energy Optimization by Thomas Tongxin Li, Shuangqi Li, Cynthia Xin Ding, Zhaoyao Bao, Mohannad Alhazmi

“…The integration of wireless power transfer (WPT) and vehicle-to-grid (V2G) technologies is essential for the sustainable operation of lunar multienergy virtual power plants (MEVPPs), where rovers, habitats, and in situ resource utilization (ISRU) facilities rely on adaptive energy management. …”
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Xyloglucan endotransglucosylase/hydrolase 25 positively regulates the lead tolerance in Raphanus sativus by Tong Han, Yongmei Cui, Yang Jing, Meiying Liu, Xuanchao Chen, Yinghui Song, Xinping Gu, Jiahao Wang, Long Wang, Long Wang

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Response of streamflow components and evapotranspiration to changes in tree species composition in a subboreal permafrost watershed in the Greater Khingan Mountains of Northeastern... by Peng Hu, Zhipeng Xu, Xiuling Man, Liangliang Duan, Tijiu Cai

“…Changes in watershed water resources are often linked to land use changes, but the influence of forest structure, especially the composition of tree species, plays a crucial role in hydrological processes. …”
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Unraveling Fish Community Diversity and Structure in the Yellow Sea: Evidence from Environmental DNA Metabarcoding and Bottom Trawling by Jinyong Zhang, Xiaoyu Cui, Lin Lin, Yuan Liu, Jinqing Ye, Weiyue Zhang, Hongjun Li

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Daily reference evapotranspiration prediction using empirical and data-driven approaches: A case study of Adana plain by Semin Topaloğlu Paksoy, Deniz Levent Koç

“…In addition, it plays a significant role in properly managing and allocating water resources in agriculture. The objective of this research was to examine the effectiveness of five different data-driven techniques, including artificial neural networks "multilayer perceptron" (ANN), gene expression programming (GEP), random forest (RF), support vector machine "radial basis function" (SVM), and multiple linear regression (MLR) to model the daily ET0. …”
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Integrated Analysis of the Metabolome and Transcriptome During Apple Ripening to Highlight Aroma Determinants in Ningqiu Apples by Jun Ma, Guangzong Li, Yannan Chu, Haiying Yue, Zehua Xu, Jiaqi Wu, Xiaolong Li, Yonghua Jia

“…This study aimed to elucidate the metabolic regulatory mechanisms underlying volatile aroma biosynthesis in Malus domestica “Ningqiu” apples, thereby providing theoretical support for the comprehensive utilization of aroma resources. Our methodological framework integrated headspace solid-phase microextraction gas chromatography–mass spectrometry (HS-SPME-GC-MS), ultra-high-performance liquid chromatography–orbitrap mass spectrometry (UHPLC-OE-MS), and Illumina high-throughput sequencing to generate comprehensive metabolomic and transcriptomic profiles of peel and pulp tissues. …”
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Biomining of lunar regolith simulant EAC-1 A with the fungus Penicillium simplicissimum by João Figueira, Stella Koch, Daniel W. Müller, Sebastian Slawik, Aidan Cowley, Ralf Moeller, Marta Cortesão

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Potential of Bone-Marrow-Derived Mesenchymal Stem Cells for Maxillofacial and Periodontal Regeneration: A Narrative Review by Hamid Reza Khorasani, Mahboubeh Sanchouli, Javad Mehrani, Davood Sabour

“…These types of stem cells can undergo multilineage differentiation including blood cells, cardiac cells, and osteogenic cells differentiation, thus providing an alternative source of mesenchymal stem cells (MSCs) for tissue engineering and personalized medicine. …”
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The Challenges of Safety Culture: No more risk! by Julija Melnikova

“…These factors by themselves are the definite source of disaster. People are not able to avoid their impacts: different crashes, accidents, fires. …”
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