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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Soil-transmitted helminth reinfection after drug treatment: a systematic review and meta-analysis. by Tie-Wu Jia, Sara Melville, Jürg Utzinger, Charles H King, Xiao-Nong Zhou

“…<h4>Principal findings</h4>From 154 studies identified, 51 were included and 24 provided STH infection rates pre- and posttreatment, whereas 42 reported determinants of predisposition to reinfection. …”
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Effect of basalt fiber content on the dynamic tensile properties of rock-filled concrete: Insights from split-hopkinson tensile bar and split-hopkinson pressure bar Brazilian testi... by Muhammad Ibrar Ihteshaam, Yixuan Jin, Feng Jin

“…The scientific literature on the dynamic tensile properties of RFC, especially under high strain rates, remains insufficient. To address this gap, this study investigates the dynamic tensile behavior of basalt fiber-reinforced RFC, focusing on the influence of basalt fiber content on improving its mechanical properties under dynamic loading conditions. …”
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An approach to arousal disorder classification using deformable convolution and adaptive multiscale features in EEG signals by Andia Foroughi, Fardad Farokhi, Fereidoun Nowshiravan Rahatabad, Alireza Kashaninia

“…Our method achieved an accuracy rate exceeding 96 %, outperforming other multi-scale channel attention modules. …”
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Integrating Occupant Behavior into Window Design: A Dynamic Simulation Study for Enhancing Natural Ventilation in Residential Buildings by Mojgan Pourtangestani, Nima Izadyar, Elmira Jamei, Zora Vrcelj

“…Integrating probabilistic occupant behavior into window design remarkably improves NV effectiveness, with peak summer ACH reaching 4.8, indicating high ventilation rates that support thermal comfort and improved IAQ without mechanical assistance. …”
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Applying a logistic regression-clustering joint model to analyze the causes of prolonged pre-analytic turnaround time for urine culture testing in hospital wards by Shuangshuang Lv, Huan Ye, Yuan Li, Jian Zhang

“…Contamination rate decreased by 59.8% (5.67% → 2.28%, P &lt; 0.01). …”
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Study on Heat Transfer of Fluid in a Porous Media by VOF Method with Fractal Reconstruction by Shuai Liu, Qingyong Zhu, Wenjun Xu

“…Through numerical simulation, the influence of the evaporation coefficient on the flow and heat transfer rate can be determined. Key findings from numerical simulations reveal the following: (1) Heat transfer rates decrease with increasing fractal dimension (surface complexity) and evaporation coefficient; (2) As the thermal Rayleigh number increases, the influence of the Marangoni number on heat transfer diminishes; (3) The coupling of buoyancy and Marangoni effects in porous media with complex evaporation surfaces significantly alters flow and heat transfer patterns compared to smooth-surfaced porous media. …”
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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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Smart Drug Delivery Systems Based on Single-Wall Carbon Nanotubes Loaded with Nanocurcumin Extract for Cancer Therapy and Toxicity by Marwa R. Jwameer, Sabah A. Salman, Farah T. M. Noori

“…After exposure to a variety of produced SWNTs and PEG-PEI-SWCNTs at concentrations ranging from 6.25 to 100 g/ml for 72 hours, the rate of growth inhibition in cancer cells including the liver cancer HepG2 cell line—was assessed. …”
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Physical activity simultaneously improves working memory and ripple-spindle coupling by Xinyun Che, Benedikt Auer, Paul Schmid, Christoph Reichert, Annemarie Scholz, Tom Weischner, Robert T. Knight, Stefan Dürschmid

“…Neurophysiologically, PA scaled the ripple rate with the number of items to be kept in WM and strengthened the coupling between ripple events and wake spindle events. …”
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Research on disaster information dissemination based on social sensor networks by Shanshan Wan, Zhuo Chen, Cheng Lyu, Ruofan Li, Yuntao Yue, Ying Liu

“…Evaluation matrix is applied to test the performance of social sensor information dissemination model, such as event dissemination coverage, event delivery time, and event delivery rate. With the comparisons to epidemic model, social sensor information dissemination model shows excellent performance in improving the efficiency and accuracy of information transmission in disaster events.…”
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Somatic pathology in residents of Khanty-Mansi Autonomous Okrug – Yugra by L. N. Verizhnikova, O. L. Aryamkina, N. N. Terentyeva

“…The study identified patterns in different flows of the Russian population in and from the North, the incidence rate (defined by the leading group of diseases) and its dynamics, characteristic of the territories equated to the Far North. …”
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Role of Genetic and Epigenetic Factors and Mechanisms Involved in the Occurrence of Congenital Heart Diseases (CHD) by Fateme Tabrizi, Mehri Khatami, Mohammad Mehdi Heidari

“…Conclusion: Due to modern surgical techniques, the survival rate of affected infants is increasing. Deeper insight into the exact causes of this disease is crucial for diagnosing and identifying high-risk patients and improving preventive and therapeutic strategies for CHD. …”
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Indentation Relaxation Behavior of the Austenitic Heat-Resistant Steel Sanicro25 by Lin Tong, Cao Tieshan

“…The results show that: the hardness/stress and time patterns of indentation relaxation at different depths are in accordance with the relationship similar to that proposed by Choi; the stress index is about 7 according to the power rate relationship, and the relaxation coefficient μ is about 0.3, whose inverse matches well with the stress index obtained from the indentation creep test; there is a pile-up phenomenon at the edges of the residual indentation on the surface of the specimen, which is caused by plastic flow of the material along the direction of the indenter after the formation of a completely plastic region at the bottom of the indenter. …”
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Relevancy Prediction of the Emerging Pathogens with Porcine Diarrhea by Logistic Regression Model by Benqiang Li, Jie Tao, Xin Li, Jinghua Cheng, Ying Shi, Pan Tang, Huili Liu

“…In this study, 3256 porcine fecal samples were collected from 17 pig herds in Shanghai, China, from 2015 to 2023 to identify novel pathogenic infection patterns. The results confirmed that porcine astrovirus (PAstV), porcine sapelovirus (PSV), and porcine epidemic diarrhea virus (PEDV) were the top three agents with positive rates of 28.47%, 20.71%, and 20.23%, respectively. …”
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Age-period-cohort analysis of global, regional, and national cervical cancer prevalence trends in women of childbearing age (15–49 years), 1990–2021 by Zeng-Tao Wang, Chuang-Wei Dang, Rui-Ling You, Shuo Li, Ting-Ting Jiang, Feng-Bo Zhu, Cai-Long Gu

“…Methods The analysis used data from the 2021 Global Burden of Disease (GBD) Study, which provided age-standardized rates of incidence, mortality, disability-adjusted life years, and prevalence across 204 countries. …”
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Prevalence and antimicrobial resistance of Streptococcus suis isolated from local pig breeds in Jiangxi Province, China by Mei-Fang Tan, Chen-Long Liu, Quan-Yong Zhou, Jia-Zhen Wei, Jia-Wei Hong, Ming-Chun Wan, Feng-Lin Zhang, Hua-Yuan Ji

“…Antimicrobial susceptibility testing revealed that &gt;98% of isolates were susceptible to carbapenems (meropenem and imipenem), followed by doxycycline (71.6%), ceftiofur (65.9%), spectinomycin (64.4%), and amoxicillin (55.8%). High resistance rates were observed for tilmicosin (96.6%), sulfadiazine (92.8%), colistin (89.9%), apramycin (88.9%), chlortetracycline (87.5%), tiamulin (83.2%), and kanamycin (79.8%). 100% of isolates exhibited multidrug resistance, with significant variations in resistance patterns among breeds. …”
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Inferring methane emissions from African livestock by fusing drone, tower, and satellite data by A. van Hove, K. Aalstad, V. Lind, C. Arndt, V. Odongo, R. Ceriani, R. Ceriani, F. Fava, J. Hulth, N. Pirk

“…To address this issue, we developed an observing system that estimates methane emission rates by assimilating drone and flux tower observations into an atmospheric dispersion model. …”
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