Identification of Flow Ｒegimes Based on Adaptive Learning and Additional Momentum BP Neural Network for Electrical Capacitance Tomography by WANG Li-li, LIU Hong-bo, CHEN De-yun, FENG Qi-shuai

“…In this paper based on the analysis of deficiency of BP neural network，for reducing the error oscillation，the adaptive learning rate adjustment factor and the additional momentum is introduced. …”
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Study on the age and growth characteristics of Sepia esculenta in the East coast of China based on beak microstructure by Bilin Liu, Bilin Liu, Bilin Liu, Bilin Liu, Yuzhe Ou, Minhua Zhou, Hu Zhang, Yueyue Xiao, Kaiwei Zu, Chaowen Zhu, Haisheng Hu

“…The ML-age relationship fitted a linear growth model, while BW-age relationships followed an exponential model for females and a power function model for males. Growth rate analysis showed varied growth trajectories with age, with the highest absolute growth rate (AGR) of ML observed at 120–150 days for females (1.23 mm/d) and at 60–90 days for males (1.93 mm/d). …”
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Enhanced-Dueling Deep Q-Network for Trustworthy Physical Security of Electric Power Substations by Nawaraj Kumar Mahato, Junfeng Yang, Jiaxuan Yang, Gangjun Gong, Jianhong Hao, Jing Sun, Jinlu Liu

“…Empirical evaluation using synthetic data derived from historical incident patterns demonstrates the significant advantages of EDDQN over other standard DQN variations, yielding an average reward of 7.5, a threat prevention success rate of 91.1%, and a notably low false alarm rate of 0.5%. …”
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Effectiveness and Safety of Korean Medicine in Treating Female Infertility: A Prospective Multicenter Observational Study by Jung HJ, Kim DI, Choi SJ, Park JK, Lee JM

“…Among the analyzed participants, the clinical pregnancy rate, ongoing pregnancy rate, and live birth rate were 20.8% (95% CI, 13.9– 30.0%), 70.0% (95% CI, 48.1– 85.5%), and 13.5% (95% CI, 8.1– 21.8%), respectively. …”
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DYNAMICS OF INCIDENCE WITH MYOCARDIAL INFARCTION IN THE POPULATION OF KUZBASS AND THE RUSSIAN FEDERATION FOR THE PERIOD 2011-2019 by Андрей Георгиевич Петров, Николай Владимирович Абрамов, Сергей Анатольевич Макаров, Сергей Николаевич Филимонов, Виктор Андреевич Семенихин, Наталья Степановна Черных

“…In 2014, the incidence rate decreased to 129.3 cases per 100 thousand population. …”
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Physical model test on the sealing mechanism and reinforcement effect of flowing water grouting for water-sand mixture inrush in the Cuihongshan iron-polymetallic mine by Baofu WU, Wanghua SUI, Guilei HAN, Longfei LIANG, Xinhai YAO, Jiaxin FENG, Xingshuo XU

“…The Z1 and Z2 stages presente a slow-fast-slow grouting rate pattern, whereas Z3 exhibited slow, uniform diffusion and filling, confirming the necessity of secondary borehole grouting. …”
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Clinical Characteristics and Survival Analysis of Patients with Supraclavicular Fossa Lymphadenopathy by Yi-Jou Kao, Wan-Lun Hsu, Yong-Chen Chen, Wu-Chia Lo, Ping-Chia Cheng, Li-Jen Liao

“…The malignant nodes were larger and had a greater short-to-long axis ratio, irregular margins, and abnormal vascular patterns (<i>p</i> < 0.01). The 5-year survival rate for patients with malignant SCLNs was 40%. …”
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Wear characteristics of armature surface and its thermal effects under different electromagnetic launch conditions by Luyao Liu, Hongshun Liu, Pengfei Lu, Haoxi Cong, Ali Mohammed Ali Abdo, Li Zhang, Qingquan Li

“…The optimal initial roughness range is 0.55–1.05 μm, with a wear rate of 0.21–0.25% and wear roughness of 7.91–8.31 μm. …”
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High Seroprevalence of Toxocara Infection among Mentally Retarded Patients in Hormozgan Province, Southern Iran by Mostafa Omidian, Mariye Diyaleh, Ali Pouryousef, Habibollah Turki, Fattaneh Mikaeili, Bahador Sarkari

“…The elevated seroprevalence rate of toxocariasis in the current study indicates that these subjects constitute a high-risk group for Toxocara infection, which may be attributed to their behavioral patterns.…”
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Paleomagnetism in Lake Pannon: Problems, Pitfalls, and Progress in Using Iron Sulfides for Magnetostratigraphy by Nick A. Kelder, Karin Sant, Mark J. Dekkers, Imre Magyar, Gijs A. vanDijk, Ymke Z. Lathouwers, Orsolya Sztanó, Wout Krijgsman

“…Alternating field demagnetization cannot resolve the individual components: it yields polarities corresponding to the dominant component resulting in erratic polarity patterns. Interpretation of LT and HT components allows a reasonably robust magnetostratigraphic correlation to the geomagnetic polarity time scale with the base of PAET‐30 at ~8.4 Ma and its top at ~6.8 Ma (average sedimentation rate of ~30 cm/kyr). …”
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Spatio-temporal variability analysis for climatic factors in urban districts with statistical trend line data estimates for sustainable development by Saloni Mangal, Renu Dhupper, Maya Kumari, Vipan Kumar Verma, Deepak Kumar

“…The results showed substantial rising maximum and minimum temperatures in all urban districts and relative humidity was found to have an increasing significant trend at the rate of 0.18–0.20%/year during the winter season. …”
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Dimensional stabilization of 55%SiCp/Al composites by CUI Yan, LI Pengwei, LI Shuo, CAO Leigang, YANG Yue, LIU Yuan

“…The results show that compared with the 14 μm particle-reinforced samples， the 76 μm particle-reinforced samples and the gradation of 14 μm and 76 μm particle-reinforced samples show better dimensional stability， the size change rate （dV/V） of the control samples can be stabilized at about 1×10-3. …”
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Morbidity, mortality, and risk factors associated with Theileria parva seropositivity in a longitudinal calf study, Narok, Kenya by Wyckliff Ngetich, George Karuoya Gitau, Tequiero Abuom Okumu, Gabriel Oluga Aboge, Daniel Muasya

“…The cumulative incidence rate was 37 cases per 100 calf-years with higher incidence rate in agro-pastoral system. …”
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Photosynthetic performance index (PIabs) and malondialdehyde (MDA) content determine rice biomass under combined salt stress and prohexadione-calcium treatment by Guanqiang Zuo, Wanqi Mei, Naijie Feng, Dianfeng Zheng

“…In this study, we applied random forest machine learning with variable importance measures to quantify the relative importance of key physiological traits - including photosynthetic rate (Pn), photosynthetic performance index (PIabs), electron transport rate (ETR), maximum photosystem II efficiency (Fv/Fm), superoxide dismutase (SOD) activity, and malondialdehyde (MDA) content- in rice subjected to NaCl (0.3%) and Prohexadione-Calcium (PCa) co-treatment. …”
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How key features of early development shape deep convective systems by Sophie Abramian, Caroline Muller, Camille Risi, Thomas Fiolleau, Rémy Roca

“…We find that a system’s growth rate during the first 2 h of development predicts its final size with a Pearson correlation coefficient of 0.65. …”
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A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

“…Based on evaluation metrics, the AdaBoost model was identified as the best-performing model, achieving an accuracy of 97.45%, an F1 score of 97.7%, and the Receiver Operating Characteristics Area Under the Curve (ROC-AUC) with a higher true positive rate and a lower false positive rate. The study recommends integrating a machine learning model into healthcare systems to detect STIs early, improve medical care, reduce disease progression, and remove stigmatisation barriers. …”
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Three Dimensional Image Reconstruction of Electrical Capacitance Tomography Based on Improved ALEXNET Convolutional Neural Network by LI Yan, WANG Lu, LI Jiaqi

“…The AlexNet convolutional neural network uses the Adam algorithm with impulse and adaptive learning rate which can reduce the error oscillation and accelerate the convergence of neural networks during training. …”
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Optimization of Bus Rerouting to Alleviate the Impact of Rail Transit Construction by Yiran Wang, Jingxu Chen, Xinlian Yu, Qinhe An, Xu Wu

“…In the first stage, the effect of the construction on bus operation is evaluated based upon one indicator, namely the increased rate of bus turnaround time. The affected lines that need rerouting are sifted by the indicator. …”
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Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning. by Jinhao Yang, Junwen Cao, Mingyu Fang

“…The framework operates through three rigorously designed stages: (1)Data preprocessing involving kinematics feature extraction, (2)Driving style recognition utilizing acceleration variation rate and average time headway combined with K-Means++ traffic density clustering and K-neighbor Gaussian mixture model (K-GMM) analysis to classify driving behaviors into conservative, moderate, and radical categories, and (3)Personalized trajectory prediction employing a multi-level neural architecture with dedicated sub-networks for distinct driving styles. …”
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Dynamic Machine Learning-Based Simulation for Preemptive Supply-Demand Balancing Amid EV Charging Growth in the Jamali Grid 2025–2060 by Joshua Veli Tampubolon, Rinaldy Dalimi, Budi Sudiarto

“…We introduce a novel supply–demand balance score to quantify weekly and annual deviations between projected supply and demand curves, then use this metric to guide the machine-learning model in optimizing annual growth rate (AGR) and preventing supply demand imbalance. …”
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