The Architectural Production of India’s Everyday Modernism: Middle-class Housing in Pune, (1960-1980) by Sarah Melsens, Inge Bertels, Amit Srivastava

“…The large-scale appropriation of modernist architectural features in everyday housing projects in postcolonial India is remarkable. …”
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A Comprehensive Analysis of Imbalance Signal Prediction in the Japanese Electricity Market Using Machine Learning Techniques by Kaiyao Jiang, Yuji Yamada

“…By incorporating a diverse range of features—including lagged imbalance data, weather forecast errors specific to Japan, and temporal patterns—we demonstrate that the prediction accuracy of imbalance signals is significantly improved compared to a baseline reflecting random forecasts based on class distribution observed during the initial training period. …”
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The use of artificial intelligence to analyze and optimize financial flows by М. А. Miakisheva

“…The article systematizes modern ideas about the features of using artificial intelligence tools in order to analyze and optimize financial flows. …”
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Human-Aware Control for Physically Interacting Robots by Reza Sharif Razavian

“…The holistic model is shown to replicate salient features of human movements. The human-aware controller’s ability to predict and minimize the user’s neuromuscular effort in a collaborative task is also demonstrated in simulations.…”
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Visual Multiple-object Tracking Algorithm Based on Motion Consistency by YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin

“…The algorithm aims to improve the stability in tracking multiple objects with similar appearance features and motion patterns, while maintaining stability in normal cases. …”
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Temporal Fusion Transformer-Based Trading Strategy for Multi-Crypto Assets Using On-Chain and Technical Indicators by Ming Che Lee

“…By combining multi-source features—such as Spent Output Profit Ratio (SOPR), Total Value Locked (TVL), active addresses (AA), exchange net flow (ENF), Realized Cap HODL Waves, and the Crypto Fear and Greed Index—with classical signals like Relative Strength Index (RSI) and moving average convergence divergence (MACD), the model captures behavioral patterns, investor sentiment, and price dynamics in a unified structure. …”
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"Svag elev" som social representation i Statens offentliga utredningar by Therese Friberg

“… Classifications of pupils as ‘weak’ have featured during the last century in Sweden and are still present in contemporary descriptions of pupils. …”
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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. …”
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3D Printed Swordfish‐Like Wireless Millirobot by Xingcheng Ou, Yu Sheng, Jiaqi Huang, Dantong Huang, Xiaohong Li, Ran Bi, Guoliang Chen, Weijie Hu, Shuang‐Zhuang Guo

“…This 20 mm long robot features a streamlined form and magnetically programmable movements, enabling biomimetic locomotion patterns such as straight‐line swimming and turning swimming. …”
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Comprehensive Integrated Analysis Reveals the Spatiotemporal Microevolution of Cancer Cells in Patients with Bone-Metastatic Prostate Cancer by Yinghua Feng, Xiuli Zhang, Guangpeng Wang, Feiya Yang, Ruifang Li, Lu Yin, Dong Chen, Wenkuan Wang, Mingshuai Wang, Zhiyuan Hu, Yuan Sh, Nianzeng Xing

“…By integrating genetic and metabolic features, we revealed key evolutionary trajectories of epithelial cancer cells during metastasis. …”
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The brain-gut microbiota network (BGMN) is correlated with symptom severity and neurocognition in patients with schizophrenia by Runlin Peng, Wei Wang, Liqin Liang, Rui Han, Yi Li, Haiyuan Wang, Yuran Wang, Wenhao Li, Shixuan Feng, Jing Zhou, Yuanyuan Huang, Fengchun Wu, Kai Wu

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Clinical characteristics associated with peripartum maternal bloodstream infection by Xiao-Li Gao, Xiao-Li Gao, Yang Li, Yang Li, Su-Juan Hou, Su-Juan Hou, Wen-Jun Fan, Wen-Jun Fan, Ling-Yi Fang, Ling-Yi Fang, Shi-Jun Ni, Shi-Jun Ni, Ye Yan, Ye Yan, Jie Li, Jie Li, Cha Han, Cha Han

“…This study aimed to investigate the incidence, clinical characteristics, risk factors, microbiological features, and antibiotic resistance patterns of maternal peripartum BSI, with a focus on understanding the role of premature rupture of membranes (PROM), fever, and other risk factors in its development.MethodsWe investigated the clinical characteristics associated with maternal BSI during the peripartum period. …”
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Finger drawing on smartphone screens enables early Parkinson's disease detection through hybrid 1D-CNN and BiGRU deep learning architecture. by Zhaohui Zhu, E Wu, Pengfei Leng, Jiajun Sun, Mingming Ma, Zhigeng Pan

“…Our hybrid model combined multi-scale convolutional feature extraction (using parallel 1D-Convolutional branches) with bidirectional temporal pattern recognition (via gated recurrent unit [GRU] networks) to analyze movement abnormalities and detect the disease.…”
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Seasonal Coloration and Ecological Adaptations of Adventitious Roots of Four Salicaceous Species in Jiuzhaigou World Natural Heritage Site, Southwestern China by Ting Liu, Junhuai Xu, Weiyang Xiao, Lv Zhou, Yingzhou Chen, Xue Qiao, Sha Deng, Zongliang Du, Ya Tang

“…ABSTRACT Jiuzhaigou is a world natural heritage with extraordinary beauty of wetlands largely developed on tufa landforms. The wetlands are dominated by shrubs and trees. …”
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Identification of Torsional Fatigue Properties of Titanium Alloy Turned Surfaces and Their Distribution Characteristics by Bin Jiang, Dengyun Wang, Peiyi Zhao, Hongchao Sang

“…A transient pose model, founded on the configuration of a turning tool, is developed to elucidate the evolution of the transition surface during transient turning. …”
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Examining peptide–gold nanoparticle interactions through explainable machine learning by Malak Gamal Abdelmeguid, Jose Isagani B. Janairo, Nishanth G. Chemmangattuvalappil

“…However, the need for interpretability in ML models is crucial, as it fosters deeper understanding about the underlying factors driving the predictions, thereby ensuring technical soundness and replicability. This work develops an explainable binary machine learning classifier using rough sets as the algorithm and amino acid composition as the features. …”
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Classification of Anxiety Levels of IGD Patients at RSU Royal Prima Medan Using Support Vector Machine (SVM) Algorithm by Kharisma Gunanta Ginting, Nugroho Prasetyo, Al Vino Gunawan, Magdalena Sihombing, Adli Abdillah Nababan

“…Visualization of the relationships between numerical features also reveals significant correlation patterns between physiological variables and patient anxiety levels. …”
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Granulomatous lymphocytic interstitial lung disease in common variable immune deficiency: an in-depth clinical, immunological, functional and radiological exploration with a focus... by Mattia Moratti, Mattia Moratti, Gioacchino Schifino, Francesco Baccelli, Francesco Baccelli, Simona Ferrari, Elisabetta Magrini, Mirna Bassi, Aldo Guerrieri, Maurizio Zompatori, Marcello Lanari, Marcello Lanari, Francesca Conti, Francesca Conti

“…CMV infection in patients with GLILD on immunosuppressants resulted in favorable outcomes, underscoring the importance of personalized treatment strategies.ImplicationsThis study highlights novel immunological markers and clinical-radiological patterns as potential predictors for GLILD, advocating for their integration into diagnostic and monitoring frameworks to reduce reliance on invasive histopathology. …”
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Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka by Penjani Hopkins Nyimbili, Mukuka Himunga Mulenga, Bwalya J. Kawimbe, Faustin A. S. Banda, Erastus Misheng’u Mwanaumo, Wellington Didibhuku Thwala

“…By integrating factors such as slope, hydrostatic potential surface, and the built environment, a predictive flood model was developed. The methodology involved using Geographic Information System (GIS) techniques and digital elevation models (DEMs) to assess geological features and manmade structures. …”
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The Role of Core Biopsy versus Vacuum-Assisted Breast Biopsy In Primary Breast Angiosarcoma by Anna Abate, Giulia Querques, Riccardo Giovanazzi, Camillo Di Bella, Valeria Besostri, Mara Gisabella, Cesare Maino, Davide Ippolito, Rocco Corso

“…Primary breast angiosarcoma is a rare malignant vascular neoplasia, characterized by aggressive patterns, poor prognosis, and absence of pathognomonic radiological features. …”
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