Sensor‐Guided Smart Irrigation for Tomato Production: Comparing Low and Optimum Soil Moisture in Greenhouse Environments by Ibrahim Dirlik, Ferhat Uğurlar, Cengiz Kaya

“…Future research should explore the integration of advanced sensors, machine learning algorithms, and predictive models to further optimize irrigation strategies, with an emphasis on scalability and environmental impact. …”
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Building a composition-microstructure-performance model for C–V–Cr–Mo wear-resistant steel via the thermodynamic calculations and machine learning synergy by Shuaiwu Tong, Shuaijun Zhang, Chong Chen, Tao Jiang, Peng Li, Shizhong Wei

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Identification of pyrvinium pamoate as an anti-tuberculosis agent in vitro and in vivo by SOSA approach amongst known drugs by Qing Guan, Lingjun Zhan, Zhi-Hao Liu, Qin Pan, Xu-Lin Chen, Zhen Xiao, Chuan Qin, Xiao-Lian Zhang

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LEARNING ENGLISH THROUGH THE INTEGRATION OF STUDENTS’ EDUCATIONAL-COGNITIVE AND SELF-EDUCATIONAL ACTIVITIES by Liliya A. Dmytruk

“…The developed concept of integration of educational-cognitive and self-educational activity of students, which is based on different didactic approaches and key provisions of the theory of activity, provides: optimization of the content of professional education of future foreign language teachers, taking into account professional and personal needs of future specialists; clarification of forms and types of educational-cognitive and self-educational activities; taking into account the main aspects of the didactic process in higher education (motivational, organizational, technological) and providing crucial components (motivational-value, content, procedural-activity, reflection); creating the necessary conditions for self-development, self-control, self-education and self-realization of future English teachers. …”
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Research on Hardware-in-the-loop Simulation for Traction Drive System of EMUs by ZHAO Leiting, ZHAO Zhen, JIANG Wei, LI Xinghua

“…The performance of traction control unit (TCU) directly affects the stability, dynamic response and speed range of EMUs. …”
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In Situ Forming Hypoxia‐Induced Exosome‐Loaded Hydrogel for Enhanced Diabetic Wound Healing by Yong‐fei Wang, Gang Zhao, Sigen A, Qian Xu, Xiao‐li Wu, Wen‐Xin Wang, Yong‐jun Rui

“…Through systematic screening of Exo‐hydrogel formulations, it is demonstrated that the encapsulated Exo retained their bioactivity, exhibits therapeutic efficacy in vitro via scratch and tube formation assays. Further, the optimal Exo‐hydrogel promotes accelerated wound healing while preventing scar formation in a diabetic rat wound model. …”
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Impacts of watershed management and topographic positions on soil organic carbon and total nitrogen stocks in Northeast highlands of Ethiopia by Andualem Belay, Assefa Abegaz, Mohammed Assen

“…Natural forests had higher SOC and TN stocks in the east-facing aspect, while controlled grazing showed better results in the west-facing aspect. …”
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Effects of different long-term exercise interventions on working memory in children and adolescents: a network meta-analysis by Xuejun Guo, Junyu Wang, Jie Liang, Ting Xie, Lin Zhang

“…Randomized controlled trials examining the impact of any exercise intervention (e.g., aerobic exercise, dance, high-intensity interval training, sports games, mixed exercise) versus control on working memory accuracy and/or reaction time were eligible. …”
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Surface water quality prediction based on BOA-BiLSTM model(基于BOA-BiLSTM模型的地表水水质预测) by 章佩丽(ZHANG Peili), 赵文雅(ZHAO Wenya), 许旭敏(XU Xumin), 包鑫磊(BAO Xinlei)

“…∶To accurately assess the water quality evolution trend of small watersheds in plain river networks with limited monitoring conditions and predict the change of water quality in advance, based on the water quality monitoring data of Nanguan River in Taizhou, Zhejiang province from June 2021 to June 2023, a surface water quality prediction model was established by integrating a Bayesian optimization algorithm (BOA) with a bi-directional long short-term memory network (BiLSTM). …”
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A Short-Term Carbon Emission Accounting Method for Power Industry Using Electricity Data Based on a Combined Model of CNN and LightGBM by ZENG Jincan, HE Gengsheng, LI Yaowang, DU Ershun, ZHANG Ning, ZHU Haojun

“…Moreover, K-fold cross-validation is used in model training, with parameter optimization using grid search to enhance the generalization capability and robustness of the model. …”
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Development of a two-layer 3D equine endometrial tissue model using genipin-crosslinked collagen scaffolds and 3D printing by Sawita Santiviparat, Setthibhak Suthithanakom, Sudchaya Bhanpattanakul, Sayamon Srisuwattanasagul, Kai Melde, Tom A. E. Stout, Theerawat Tharasanit

“…Mucin production was observed, while ERα was detected in the cytoplasm and translocated into the nucleus.Notably, after OT challenge prostaglandin-endoperoxide synthase 2 (PTGS2) expression was significantly elevated in the treatment group compared to controls (p < 0.05). This advanced 3D-ET model offers a robust platform for studying tissue-specific functions and could be further developed by incorporating immune or endothelial cells or creating complex structures such as glands or vessels.…”
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Modeling Dual-SiO_xN Thin-Film Edge Coupler with Ultra-Low Loss and Large Alignment Tolerance by Zhaozhen Chen, Xin Fu, Lei Zhang, Zhengsheng Han

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Modeling a divertor with mid-leg pumping for high-power H-mode scenarios in DIII-D considering E × B drift flows by Andreas Holm, Robert S. Wilcox, Jonathan H. Yu, Thomas D. Rognlien, Marvin E. Rensink, Filippo Scotti, Roberto Maurizio, Steve L. Allen, Wilkie Choi, Anothony W. Leonard, Morgan W. Shafer, Mathias Groth, Adam McLean

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Fine-Tuned YOLO Model for Monitoring Children Across Medical Scenes Based on a Large-Scale Real-World Dataset for Children Detection by Samuel Diop, Francois Jouen, Jean Bergounioux, Imen Trabelsi

“…This paper introduces YOLOCDD, a fine-tuned YOLOv11-based model optimized for child detection in medical scenes, supported by the Child Detection Dataset (CDD)&#x2014;a large-scale, real-world dataset comprising 1,928 annotated images of children across diverse age groups and interaction scenarios. …”
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A retrospective study: establishment and validation of the prediction model for the gonadotropin starting dose in IVF/ICSI-ET among normal ovarian response women by Yindi Zhang, Na Zhang

“…PurposeThis study aims to create and validate a clinical prediction model to determine the optimal gonadotropin (Gn) starting dose in controlled ovarian stimulation (COS) protocols for normal ovarian response (NOR) patients undergoing their first IVF/ICSI-ET cycle.MethodsA retrospective analysis was conducted based on the data of the first IVF/ICSI-ET cycles of 535 patients from the Reproductive Medicine Department of the Fourth Hospital of Hebei Medical University between January 2017 and June 2024. …”
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Advances in Surveying Topographically Complex Ecosystems with UAVs: Manta Ray Foraging Algorithms by Shijie Yang, Jiateng Yuan, Zhibo Chen, Hanchao Zhang, Xiaohui Cui

“…This study introduces an innovative UAV cruise data collection path planning approach using the manta ray foraging optimization (MRFO) algorithm to enhance efficiency and energy utilization in forest ecosystem monitoring. …”
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EM-DeepSD: A Deep Neural Network Model Based on Cell-Free DNA End-Motif Signal Decomposition for Cancer Diagnosis by Zhi-Yang Zhao, Chang-Ling Huang, Tong-Min Wang, Shi-Hao Zhou, Lu Pei, Wen-Hui Jia, Wei-Hua Jia

“…<b>Materials and Methods:</b> This study included 146 patients diagnosed with cancer and 122 non-cancer controls. EM-DeepSD comprises three core modules. Initially, it utilizes a signal decomposition module to decompose and reconstruct the input end-motif profiles, thereby generating multiple regular subsequences that optimize the subsequent modeling process. …”
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Structural Design and Implementation of Simulating Galago Senegalensis Monkey Single-leg Jumping Robots by Li Jing, Li Gui, Sun Wei, Chen Haozuo, Ye Mao, Li Ronghe

“…Aiming at the main problems existing in the jumping robot, combined with the galago senegalensis monkey's characteristics of small sizes, stable and explosive jumping, a kind of galago senegalensis monkey single leg jumping robot is proposed in this study, and its main structure and control system are designed. Based on the principle of the Stephenson's six-bar linkage, a planar eight-bar linkage for the leg of simulating galago senegalensis monkey robot is designed, and its trajectory is optimized to obtain the bar length parameters with the best jumping ability. …”
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Research on Traction Speed Regulation and Braking Device of Pipeline Intelligent Plugging Robot by TANG Yang, PI Yunsen, LIU Xiang, WANG Guorong

“…Based on the in-pipe motion model of the robot and analysis of the speed regulation mechanism, a motion mechanism model incorporating the traction speed regulation and braking device is established. …”
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Elevated CD4⁺/CD8⁺ ratio and D-dimer as diagnostic biomarkers for Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis versus infectious mononucleosis in children: a re... by Yun Cheng, Wenjia Tong, Wangqiang Li, Yuanyuan Duan, Jingjing Jin, Biquan Chen

“…ROC curve analysis demonstrated that CD4⁺/CD8⁺ ratio > 0.455 (Youden index = 0.638, sensitivity = 92.4%, specificity = 71.4%) and D-dimer > 1.675 mg/L (Youden index = 0.683, sensitivity = 82.6%, specificity = 85.7%) optimally discriminated EBV-HLH from EBV-IM. The combined model significantly enhanced diagnostic accuracy (Youden index = 0.811), with AUC values of 0.837 (95%CI: 0.76–0.91), 0.869 (95%CI: 0.80–0.94), and 0.962 (95%CI: 0.935–0.989) for CD4⁺/CD8⁺ ratio, D-dimer, and their combination, respectively. …”
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