SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
Get full text

Differences in geochemical characteristics of produced water from coalbed methane wells and their indications for drainage：A case study of the Santang Syncline in Western Guizhou by Xiaozhi ZHOU, Shuaiqi WANG, Shiliang ZHU, Shaolei WANG, Gang XIANG, Xuehua CHEN, Jihang DONG, Xin QIU

“…Combined with the monitoring of the water quality and hydrochemical characteristics of the produced water from CBM wells, the overflow release process after fracturing is divided into four stages: trial flowback, constant-rate flowback, slow increase of the flowback rate, and rapid decrease of the flowback rate. …”
Get full text

Guideline Utilization in Oncology: Addressing Barriers and Facilitators in Latin America and the Caribbean by Yanin Chavarri-Guerra, Luis Corrales, James D. Morgante, Henry Gomez, Alba Kihn-Alarcón, Rodrigo Munhoz, Els Dams

“…PURPOSEThis study aimed to explore the usage patterns, barriers, and facilitators of cancer treatment guidelines among oncologists in Latin America and the Caribbean.METHODSA cross-sectional survey was conducted in March 2023 among physicians in Latin America and the Caribbean who care for patients with cancer. …”
Get full text

Identification of Yellow Pigmentation Genes in Brassica rapa ssp. pekinensis Using Br300 Microarray by Hee-Jeong Jung, Ranjith Kumar Manoharan, Jong-In Park, Mi-Young Chung, Jeongyeo Lee, Yong-Pyo Lim, Yoonkang Hur, Ill-Sup Nou

“…These results indicate that the yellow leaves accumulate high levels of both lutein and β-carotene due to stimulation of synthesis and that the degradation rate is inhibited. A large number of responsible genes as novel genes were specifically expressed in yellow inner leaves, suggesting the possible involvement in pigment synthesis. …”
Get full text

miR-276 and miR-182013-5p modulate insect metamorphosis and reproduction via dually regulating juvenile hormone acid methyltransferase by Jiasheng Song, Wanwan Li, Lulu Gao, Qiang Yan, Xinyan Zhang, Mingzhi Liu, Shutang Zhou

“…We found that Jhamt, a rate-limiting enzyme in JH biosynthesis, mirrors JH titer patterns in the migratory locust. …”
Get full text

Detecting Black-Box Model Probing Attacks Through Probability Scores by Yongzhi Wang, Ahsan Habib, Likhitha Reddy Kesara, Brahmarshi Jasti, Renjie Hu, Tejasv Singh

“…Compared with existing defense methods, our classifiers can reduce the Attack Success Rate (ASR) of the OARS-enhanced attacks from 93% to 1.78%. …”
Get full text

Coupling Coordination Development Between Cultivated Land and Agricultural Water Use Efficiency in Arid Regions: A Case Study of the Turpan–Hami Basin by Yue Kong, Abdugheni Abliz, Dongping Guo, Xianhe Liu, Jialin Li, Buasi Nurahmat

“…A coupling coordination degree model was constructed to evaluate their coordinated development level, with spatial autocorrelation and other methods used to examine spatiotemporal patterns. Key findings include: (1) The overall utilization efficiency of both resources was relatively low, with mean values of 0.516 and 0.596, showing a fluctuating upward trend and significant spatial heterogeneity; (2) The mean coupling coordination degree (CCD) ranked as follows: Barkol Kazakh Autonomous County (0.587) > Yiwu County (0.563) > Gaochang District (0.494) > Shanshan County (0.437) > Tuokexun County (0.417) > Yizhou District (0.342), with an annual growth rate of 4.6%; (3) Regional disparities were dominated by intra-regional differences (42.0%), followed by transvariation density (30.64%). …”
Get full text

Design of a Methodology to Evaluate the Energy Flexibility of Residential Consumers to Enhance Household Demand Side Management: The Case of a Spanish Municipal Network by Caterina Lamanna, Andrés Ondó Oná-Ayécaba, Lina Montuori, Manuel Alcázar-Ortega, Javier Rodríguez-García

“…Climate change and global warming are causing growing environmental concerns, prompting many countries to increase investments in renewable energies. The high growth rate of renewables in the energy systems brings significant intermittency challenges. …”
Get full text

AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
Get full text

Staging of Flood Season for Danjiangkou Reservoir Considering Characteristics of Plum Rain and West China Autumn Rainfall by WANG Xiao-ya, GUO Sheng-lian, WANG Jun, SHI Yi-jun, DONG Fu-qiang, YANG Hai-cong

“…Since its operation, Danjiangkou Reservoir has maintained an annual full storage rate of only 11%. How to improve this rate while ensuring flood safety remains an urgent issue. …”
Get full text

The study of functional asymmetry in students and schoolchildren practicing martial arts by Vyacheslav V. Romanenko, Olha O. Podrihalo, Leonid V. Podrigalo, Sergii S. Iermakov, Zhanna V. Sotnikova-Meleshkina, Oksana V. Bobrova

“…For the right hand, this pattern was confirmed only for the final stage of the test (t = -2.35). …”
Get full text

Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
Get full text

A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
Get full text

Influence of Previous Emergency Department Visit Information on Care of Current Patients by Ricardo X. Noriega, Juan Nañez, Emily Hartmann, Scott B. Crawford, Chantel D. Sloan-Aagard

“…The primary outcome was the influence of knowledge from prior records on interactions during the most recent visit, measured with 11 Likert-scale ratings. Reviewer agreement was used as an indicator of confidence. …”
Get full text

Scene Semantic Recognition Based on Modified Fuzzy C-Mean and Maximum Entropy Using Object-to-Object Relations by Ahmad Jalal, Abrar Ahmed, Adnan Ahmed Rafique, Kibum Kim

“…An Artificial Neural Network recognizes the multiple objects using the different patterns of objects. Finally, labels are estimated via Maximum Entropy model. …”
Get full text

A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…This study proposes a novel approach that increase the detection rate and provides new insights for further research.…”
Get full text

Conventional synthetic disease-modifying antirheumatic drug use by race/ethnicity and factors associated with initiating biologics in Malaysian patients with rheumatoid arthritis by Suad Mohammed, Lydia Say Lee Pok, Ying Chew Tee, Fariz Yahya

“…Disease activity score 28–erythrocyte sedimentation rate improved at 3 months post-csDMARD treatment for all races (P < 0.001). …”
Get full text

Spatial occurrence-intensity modeling of dengue incidence in southernmost provinces of Thailand. by Apiradee Lim, Lumpoo Ammatawiyanon, Haris Khurram, Phattrawan Tongkumchum, Don McNeil

“…The overall average occurrence rate was 28.3% while the average intensity was 419 per 100,000 population. …”
Get full text

CIDNP study of photoinduced electron transfer in His-Glu-Tyr-Gly peptide and its conjugate His-Gln(BP)-Tyr-Gly by Natalya N. Fishman, Kevin Herr, Olga B. Morozova, Ivan V. Zhukov, Maksim P. Geniman, Martin Brodrecht, Till Wissel, Gerd Buntkowsky, Alexandra V. Yurkovskaya

“…Low-field CIDNP spectra showed strong emissive polarization patterns, with pH-dependent exchange interaction and biradical geometry. …”
Get full text

Efficient and Accurate Zero-Day Electricity Theft Detection from Smart Meter Sensor Data Using Prototype and Ensemble Learning by Alyaman H. Massarani, Mahmoud M. Badr, Mohamed Baza, Hani Alshahrani, Ali Alshehri

“…Smart meter data is compressed using Principal Component Analysis (PCA) and K-means clustering to extract representative consumption patterns, i.e., prototypes, achieving a 92% reduction in dataset size while preserving critical anomaly-relevant features. …”
Get full text