Evaluating Large Language Models for Burning Mouth Syndrome Diagnosis by Suga T, Uehara O, Abiko Y, Toyofuku A

“…Differences were also observed in reasoning patterns and additional data requests across the large language models.Discussion: Despite high overall accuracy, the models exhibited variations in reasoning approaches and occasional errors, underscoring the importance of clinician oversight. …”
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Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network by Chi Nguyen, Tiep M. Hoang, Adnan A. Cheema

“…This paper proposes a deep learning (DL)-based channel estimation method using a convolutional long-short term memory (CNN-LSTM) model for RIS-NOMA wireless communication systems that integrate RIS and NOMA techniques. …”
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Exploring the Medicinal Potential of <i>Taraxacum Kok-Saghyz</i> (<i>TKS</i>) Using Widely Targeted Metabolomics by Michele Tan, Jeffrey Shih-Chieh Chu, Daniel Robin Swiger

“…Samples were hand-harvested and preserved on dry ice to maintain biochemical integrity. Metabolite identification and classification were performed using the MWDB and KEGG databases. …”
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Confident Learning-Based Label Correction for Retinal Image Segmentation by Tanatorn Pethmunee, Supaporn Kansomkeat, Patama Bhurayanontachai, Sathit Intajag

“…The Mean Boundary F1 Score (MeanBFScore) remained invariant, signifying the maintenance of boundary integrity. CJA and PBNR demonstrated strengths under different conditions, producing variations in performance that were dependent on the noise level and dataset characteristics. …”
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Watkins wheat landraces decode nitrogen-driven biomass trade-offs: GWAS exposes root-shoot dialectics and elite landraces for resilient agriculture by Abdul Waheed, Muhammad Shahid Iqbal, Zareen Sarfraz, Junliang Hou, Yanping Wei, Bo Song, Shifeng Cheng

“…This study aimed to dissect the molecular and physiological foundations of nitrogen-driven resilience in wheat, leveraging the genetically diverse Watkins wheat landraces as a source of adaptive alleles.MethodsA total of 308 Watkins wheat landraces were phenotyped under low nitrogen (LN) and normal nitrogen (NN) conditions to assess root-shoot allocation strategies. …”
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Bioinformatics pipeline to guide late‐onset Alzheimer's disease (LOAD) post‐GWAS studies: Prioritizing transcription regulatory variants within LOAD‐associated regions by Michael W. Lutz, Ornit Chiba‐Falek

“…The approach integrates multiple data types to characterize and prioritize SNPs for putative regulatory function using single‐cell multi‐omics assays and gene editing.…”
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Battery Electric Vehicle Adoption in Indonesia: Insights from Consumer Preferences and Stakeholder Perspectives by Indira Ayu Adzhani, Bambang Pramono, M. Setyawan Santoso, Mohamed Yusuf Faridian Wirayat, Liane Okdinawati, Prawira Fajarindra Belgiawan

“…This study adopts a mixed-methods approach, combining qualitative insights from focus group discussions and stakeholder interviews with quantitative analysis using a mixed multinomial logit (MMNL) model. …”
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Reproductive choices, mobile technology and social media: insights from Nigerian women’s family planning experiences by Idowu O. Ayodeji, Tosin O. Oni, Oladimeji Ogunoye

“…The investigation employs descriptive, bivariate, and multivariate models including interaction terms to analyze the associations between contraceptive behavior, abortion experiences, and exposure to FP messages—operationalized through a composite FP score that integrates mobile phone ownership and receipt of FP messages. …”
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The importance of socio-demographic factors on food literacy in disadvantaged communities by Rafael A. Araque-Padilla, Maria Jose Montero-Simo

“…This study examines food literacy in a disadvantaged community in western Honduras, specifically analyzing how socio-demographic factors influence food-related behaviors.MethodsWe assessed food literacy levels in 400 predominantly female-headed households in a disadvantaged community in western Honduras. …”
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An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

“…Traditional machine learning techniques have been extensively employed for this purpose due to their high accuracy and low false alarm rates. However, these methods often fall short in detecting sophisticated and evolving threats, particularly those involving subtle variations or mutations of known attack patterns. …”
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Decline in and recovery of fertility rates after COVID-19-related state of emergency in Japan by Hisashi Masuyama, Tomohiro Mitoma, Jota Maki, Hikaru Ooba

“…This study aimed to evaluate the impact of COVID-19 infection rates and regional sociodemographic factors on the recovery of fertility rates in Japan following the state of emergency.Methods This study examined prefectural fertility data from before the COVID-19 pandemic to forecast fertility rates up to 2022 using a seasonal autoregressive integrated moving average model. …”
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Automatic cattle identification system based on color point cloud using hybrid PointNet++ Siamese network by Pyae Phyo Kyaw, Pyke Tin, Masaru Aikawa, Ikuo Kobayashi, Thi Thi Zin

“…Existing 2D vision-based identification methods have demonstrated promising results; however, their performance is often compromised by environmental factors, variations in cattle texture, and noise. …”
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Structure and driving factors of tourism information flow networks within urban agglomerations: A case study of six major coastal urban agglomerations in eastern China by DI Qianbin, JIA Wenhan, CHEN Xiaolong

“…Research on the tourism information flow networks within urban agglomerations is crucial for the development of regional tourism in the era of digital economy. [Methods] Using big data analysis from Baidu Index and social network analysis (SNA) method, six urban agglomerations in the east coast of China were taken as examples. …”
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Geological environment and main geological safety challenges in the northern segment of the southeast Xizang (Tibet) power transmission corridor by TIAN Xuwen, WANG Yanbing, ZHU Shu, YAO Xin, LI Xianxin

“…This study aims to safeguard the geological route selection, construction, and operation of the northern segment of the southeast Xizang(Tibet) power transmission corridor.  Methods  We conduct a comprehensive review of literature from both domestic and international sources, and elaborate extensively the regional geological conditions and significant geological safety challenges encountered along the corridor. …”
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Correlations among Corneal Biomechanical Parameters, Stiffness, and Thickness Measured Using Corvis ST and Pentacam in Patients with Ocular Hypertension by Qian Liu, Chenjiu Pang, Changgeng Liu, Wenjun Cheng, Shuai Ming, Wenwen Du, Xiaomei Feng

“…DAHC and DA ratio had significantly negative correlations with IOP variations. PDHC was found to be positively correlated with AL (p<0.05). …”
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Single-cell RNA sequencing reveals adrb1 as a sympathetic nerve-regulated immune checkpoint driving T cell exhaustion and impacting immunotherapy in esophageal squamous cell carcin... by Qun Li, Shuning Xu, Yulin Ren, Cheng Zhang, Ke Li, Ying Liu

“…We identified ADRB1+ T cells through data analysis and experimental validation. Copy number variation (CNV) analysis detected malignant cells within scRNA-seq data, while intercellular interaction analysis examined communication between cell populations. …”
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Epidemiological trends of influenza A and B in one hospital in Chengdu and national surveillance data (2019–2024) by Xiang Li, Chenlijie Yang, Lu Chen, Jian Ma, Zhongliang Hu

“…These findings underscore the importance of integrating multiple surveillance sources for a comprehensive understanding of influenza dynamics. …”
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Multiscale impacts of landscape metrics on water quality based on fine-grained land use maps by Ya’nan Zhou, Ya’nan Zhou, Jinke He, Jinke He, Li Feng, Li Feng, Binyao Wang, Binyao Wang, Yuehong Chen, Yuehong Chen, Lingzhan Miao, Lingzhan Miao

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RDRM-YOLO: A High-Accuracy and Lightweight Rice Disease Detection Model for Complex Field Environments Based on Improved YOLOv5 by Pan Li, Jitao Zhou, Huihui Sun, Jian Zeng

“…Existing deep learning-based methods for rice leaf disease detection struggle with inadequate sensitivity to subtle disease features, high computational complexity, and degraded accuracy under complex field conditions, such as background interference and fine-grained disease variations. …”
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Single-cell technology reveals the crosstalk between tumor cells and immune cells: driving immune signal transduction and inflammation-mediated cardiac dysfunction in the tumor mic... by Wenyang Nie, Wangzheqi Zhang, Zhikai Xiahou, Yuxuan Meng, Yuhang Liu, Jingwen Zhang, Zhen Wang, Yong Wang

“…Notwithstanding therapeutic advancements, resistance to treatment remains a significant obstacle. scRNA-seq offers comprehensive insights into the immune signaling network and immunological dynamics inside the CRC’s TME.MethodsWe integrated scRNA-seq data from GEO with extensive RNA-seq data from TCGA to elucidate immunological signaling and dynamic cellular variation in the TME of CRC. …”
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