Computational prediction of deleterious nonsynonymous SNPs in the CTNS gene: implications for cystinosis by Leila Adda Neggaz, Amira Chahinez Dahmani, Ibtissem Derriche, Nawel Adda Neggaz, Abdallah Boudjema

“…Molecular dynamics simulations revealed that these mutations significantly increase local flexibility, alter hydrogen bonding patterns, and enhance solvent accessibility, resulting in structural perturbations. …”
Get full text

Immunoinformatic development of a multiepitope messenger RNA vaccine targeting lipoate protein ligase and dihydrolipoamide dehydrogenase proteins of Mycoplasma bovis in cattle by Dhafer Rasheed Al-Fetly, Dhama Alsallami, Amjed Alsultan

“…T- and B-cell epitopes were predicted using Immune Epitope Database and evaluated for antigenicity, allergenicity, toxicity, and conservancy. …”
Get full text

Chaotic demonstration of the twin-core couplers with Kerr law non-linearity employing beta derivative by Adil Jhangeer, Maham Munawar, Mudassar Imran, Atef Abdelkader

“…Beyond mathematical derivations, the physical relevance of these findings is explored through phase portrait analysis, quasi-periodic patterns, Lyapunov exponents, 2D Power spectrum and 3D attractors. …”
Get full text

TriagE-NLU: A Natural Language Understanding System for Clinical Triage and Intervention in Multilingual Emergency Dialogues by Béatrix-May Balaban, Ioan Sacală, Alina-Claudia Petrescu-Niţă

“…TriagE-NLU integrates fine-tuned multilingual transformers with a hybrid rules-and-policy decision engine, enabling it to parse structured medical information (symptoms, risk factors, temporal markers) and recommend appropriate interventions based on recognized patterns. …”
Get full text

Estimating shear strength of dredged soils for marine engineering: experimental investigation and machine learning modeling by Zheng Yao, Kaiwei Xu, Zejin Wang, Haodong Sun, Peng Cui, Peng Cui

“…Drawing from the test data, a structured database was assembled, and a new learning framework was developed by combining the Logical Development Algorithm (LDA), Adaptive Boosting (BA), and Artificial Neural Networks (ANN). …”
Get full text

Uso conjunto de dois modelos cognitivos para a compreensão do processo de escolha do consumidor Joint use of two cognitive models in order to understand consumer choice process by Sérgio Carvalho Benício de Mello, André Luiz Maranhão de Souza Leão, Arcanjo Ferreira de Souza Neto

“…In this sense, it has focus on consumer evaluation and choice processes, considering different risk perception levels in two service settings. …”
Get full text

Decolonizing or Re-colonizing? Community members’ perspectives of global service learning programs by Noel Habashy, Nicole Webster, Carter A. Hunt

“…Without seeking insights from local residents, global service learning may be reinforcing colonialistic patterns.…”
Get full text

Patients’ experiences of a standardized care pathway for suspected bladder cancer due to macroscopic hematuria by Lisa Karlsson, Anette Ek-Steinum, Viola Nyman, Suleiman Abuhasanein

“…Abstract Objective To explore patients’ experiences navigating the Standardized Care Pathway (SCP) for macroscopic hematuria through semi-structured interviews. Methods and materials An interview study was conducted to explore patients’ experiences of SCP for macroscopic hematuria. …”
Get full text

A rapid onset of Guillain–Barre syndrome following spinal anesthesia for knee arthroscopy: a case report by Amin Ahmed Kapadia, Lena Koshy, Usman Ali, Salil Gupta, Hammad Naqi Khan

“…Neurological symptoms rapidly deteriorated by day two and urgent neurological evaluation was taken. Initial and repeat spinal magnetic resonance imaging showed no structural abnormalities, and cerebrospinal fluid analysis lacked albuminocytological dissociation, complicating diagnosis. …”
Get full text

Effect of Air Duct Layout on the Airflow in Data Center Using Under-floor Air Distribution (2) Experimental Verification by 胡雨, 耿云, 张忠斌, 张萌, 姚喻晨, 黄虎, 黄毅, 蒋赟昱

“…Based on the simulation described in Part I, the optimal model, including six groups of duct structures, is verified. The odd-numbered sub-modules of the data center were taken as the measured objects, changing the perforation rate of the floor, and the angle of the baffle, to obtain the six groups of reasonable airflow patterns. …”
Get full text

Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally, S. K. Towfek

“…Due to the non-linear and temporal nature of emissions data, traditional machine learning methods—which work well when data are structured—struggle to provide effective predictions. …”
Get full text

Devastating natural hazard observation with the combination of optical and microwave remote sensing datasets, Valencia 2025 flood by H. B. Makineci

“…</p> <p>The findings highlight the critical importance of flexible urban planning, including creating flood protection zones to prevent loss of life and reduce structural damage in cities vulnerable to flooding. …”
Get full text

Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…The proposed hybrid model integrates LSTM to identify temporal features of players’ motion and CNN to recognize spatial patterns across the court. The model was trained and evaluated on the National Basketball Association’s (NBA) SportVU tracking data, which includes over 32,000 possessions. …”
Get full text

Breast cancer classification based on hybrid CNN with LSTM model by Mourad Kaddes, Yasser M. Ayid, Ahmed M. Elshewey, Yasser Fouad

“…Our method combines these structures to improve classification accuracy and resilience. …”
Get full text

The Thermal Activation of Serpentinite from the Zhitikarinsky Deposit (Kazakhstan) by Abdrazak Auyeshov, Kazhymuhan Arynov, Asem Satimbekova, Chaizada Yeskibayeva, Kurman Alzhanov

“…The effects of heat treatment on the phase composition and reactivity of serpentinite during interactions with sulfuric acid were studied and discussed using the diffraction patterns of serpentinite heat treated at selected temperatures for 1 h and using methods of thermodynamic evaluation of the possible reactions in the temperature range of 350–750 °C, as well as establishing the nature of their interaction with sulfuric acid under identical conditions. …”
Get full text

Transformer-Based Models for Probabilistic Time Series Forecasting with Explanatory Variables by Ricardo Caetano, José Manuel Oliveira, Patrícia Ramos

“…However, forecasting retail time series presents significant challenges due to their irregular patterns, hierarchical structures, and strong dependence on external factors such as promotions, pricing strategies, and socio-economic conditions. …”
Get full text

Mapping the Landscape of Digital Government Transformation: A Bibliometric Analysis by Younus Muhammad, Purnomo Eko Priyo, Nurmandi Achmad, Mutiarin Dyah, Manaf Halimah Abdul, Prianto Andi Luhur, Sohsan Imron, Irawan Bambang, Salahudin Salahudin, Akbar Idil, Khairunnisa Tiara

“…The literature review makes use of citation analysis to detect patterns in the relationship between scientific papers, whereas the bibliometric analysis employs quantitative tools to evaluate published physical units. …”
Get full text

Fertility intentions among Chinese adults: a cross-sectional study using a national survey by Mingyan Hao, Chenxiao Zhang, Haofeng Fu, Jingting Zhang, Ziyi Zhang, Baotong Ma, Ruitong Xia, Yuanwei Lu, Jingwen Liu, Hanjia Xin, Yumeng Cao, Saier Yang, Runqing Li, Ji Zhao, Jin Zhang, Zheng Gao, Yaxin Zeng, Yixiao Ding, Zhuolun Ren, Yan Guan, Na Zhang, Jia Li, Yan Ma, Pei Wei, Jingjing Dong, Chen Chen, Yajing Zhou, Jianzhong Zheng, Wei Liu, Lizheng Wang

“…The explanatory capacity of each model was evaluated by calculating R² values, which offered insights into the variance accounted for by the independent variables. …”
Get full text

Citrus Disease Detection Based on Dilated Reparam Feature Enhancement and Shared Parameter Head by Xu Guo, Xingmeng Wang, Wenhao Zhu, Simon X. Yang, Lepeng Song, Ping Li, Qinzheng Li

“…It introduces the DR module structure for effective feature enhancement and the Detect_Shared architecture for parameter efficiency. …”
Get full text

scGraphformer: unveiling cellular heterogeneity and interactions in scRNA-seq data using a scalable graph transformer network by Xingyu Fan, Jiacheng Liu, Yaodong Yang, Chunbin Gu, Yuqiang Han, Bian Wu, Yirong Jiang, Guangyong Chen, Pheng-Ann Heng

“…This comprehensive approach enables the identification of subtle and previously obscured cellular patterns and relationships. Evaluated on multiple datasets, scGraphformer demonstrates superior performance in cell type identification compared to existing methods and showcases its scalability with large-scale datasets. …”
Get full text