GeoFactory: an LLM performance enhancement framework for geoscience factual and inferential tasks by Zhou Chen, Xiao Wang, Xinan Zhang, Ming Lin, Yuanhong Liao, Juanzi Li, Yuqi Bai

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HorGait: Advancing Gait Recognition With Efficient High-Order Spatial Interactions in LiDAR Point Clouds by Jiaxing Hao, Yanxi Wang, Zhigang Chang, Hongmin Gao, Zihao Cheng, Chen Wu, Xin Zhao, Peiye Fang, Rachmat Muwardi

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Deep Learning Classification of Systemic Sclerosis Skin Using the MobileNetV2 Model by Metin Akay, Yong Du, Cheryl L. Sershen, Minghua Wu, Ting Y. Chen, Shervin Assassi, Chandra Mohan, Yasemin M. Akay

“…Machine learning algorithms, especially deep learning, have been found to be greatly useful in biology, medicine, healthcare, and biomedical applications, in the areas of medical image processing and speech recognition. However, the need for a large training data set and the requirement for a graphics processing unit (GPU) have hindered the wide application of machine learning algorithms as a diagnostic tool in resource-constrained environments (e.g., clinics). …”
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Mapping Nationwide Subfield Division Dynamics in Saudi Arabia Using Temporal Patterns of Sentinel-2 NDVI and Machine Learning by Ting Li, Oliver Miguel Lopez Valencia, Matthew F. McCabe

“…The performance of discrete wavelet transformation(DWT) and Savitzky–Golay filtering was compared for processing the NDVI time series. When evaluated against a reference dataset, the approach achieved a maximum accuracy of 93.38% with DWT level 1 decomposition using the “haar” wavelet function. …”
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Single-cell Atlas reveals core function of CPVL/MSR1 expressing macrophages in the prognosis of triple-negative breast cancer by Xinan Wang, Xinan Wang, Xinan Wang, Xinan Wang, Li Lin, Xue Zhang, Minghui Zhang, Minghui Zhang, Minghui Zhang, Minghui Zhang, Zhuo Sun, Zhuo Sun, Zhuo Sun, Zhuo Sun, Yichen Yang, Yichen Yang, Yichen Yang, Yichen Yang, Xiuna Zhang, Yonghui Yuan, Yong Zhang, Hao Chen, Ti Wen, Ti Wen, Ti Wen, Ti Wen

“…Moreover, cytokines including IL-18, IFNγR1, CCL20, and CCL2, along with complement-related gene like TREM2 and complement component CFD, may participate in the process of CPVL or MSR1 regulating macrophage polarization. …”
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An Innovative Smart Irrigation Using Embedded and Regression-Based Machine Learning Technologies for Improving Water Security and Sustainability by Abdennabi Morchid, Abdennacer Elbasri, Zahra Oughannou, Hassan Qjidaa, Rachid El Alami, Badre Bossoufi, Saleh Mobayen, Pawel Skruch

“…These results show not only the performance of the proposed model in terms of accuracy but also its computational efficiency, outperforming some of the studies mentioned. …”
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Differentiating between adrenocortical carcinoma and pheochromocytoma by a CT-based radiomics model: a multicenter retrospective study by Yinyao Chao, Hongzhang Zhu, Wenyi Yang, Haohua Yao, Nan Ma, Xianda Chen, Jing Zhao, Huali Ma, Zhenhua Liu, Hui Han, Zhuowei Liu, Kai Yao, Yiyao Li, Peng Wu, Jingtong Zhang, Bin Li, Shengjie Guo

“…Abstract Background Adrenocortical carcinoma (ACC), a rare and highly malignant adrenal gland tumor, exhibits computed tomography (CT) characteristics that resemble those of the less malignant pheochromocytoma (PHEO). …”
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Early diagnosis of lung cancer using a sensor gas analysis complex: case report by E. O. Rodionov, D. E. Kulbakin, D. V. Podolko, E. V. Obkhodskaya, A. V. Obkhodskiy, S. V. Miller, A. A. Mokh, V. I. Sachkov, A. S. Popov, V. I. Chernov

“…Currently, low-dose computed tomography (LDCT) is the only screening test that reduces the risk of death from lung cancer. …”
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Constructing segmentation method for wheat powdery mildew using deep learning by Hecang Zang, Hecang Zang, Congsheng Wang, Qing Zhao, Qing Zhao, Jie Zhang, Jie Zhang, Junmei Wang, Guoqing Zheng, Guoqing Zheng, Guoqiang Li, Guoqiang Li

“…Compared with other mainstream deep learning methods U-Net, PSPNet, DeepLabV3+, and Swin-Unet, the proposed RSE Swin-Unet method can detect wheat powdery mildew and stripe rust image in a challenging situation and has good computer vision processing and performance evaluation effects. …”
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YOLOv8-GABNet: An Enhanced Lightweight Network for the High-Precision Recognition of Citrus Diseases and Nutrient Deficiencies by Qiufang Dai, Yungao Xiao, Shilei Lv, Shuran Song, Xiuyun Xue, Shiyao Liang, Ying Huang, Zhen Li

“…This model incorporates several key enhancements: A lightweight ADown subsampled convolutional block is utilized to reduce both the model’s parameter count and its computational demands, replacing the traditional convolutional module. …”
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The Value of PET/CT-Based Radiomics in Predicting Adrenal Metastases in Patients with Cancer by Qiujun He, Xiangxing Kong, Xiangxi Meng, Xiuling Shen, Nan Li

“…The open-source software Python (version 3.7.11) was utilized to process the regions of interest (ROI) delineated by ITK-SNAP, extracting radiomic features. …”
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Cross-cultural adaptation, content validity, and reliability of the Amharic version of the modified John-Hopkins fall risk assessment scale among older adults who attend home healt... by Samuel Teferi Chanie, Moges Gashaw, Kassaw Belay Shiferaw, Fiseha Sefiwu Zinabu, Setegn Fentahun, Kassahun Cherkos, Alemu Kassaw Kibret, Ermias Solomon Yalew, Assefa Kebad Mengesha, Habtamu Semagne Ayele, Zufan Yiheyis Abriham, Mihret Dejen Takele

“…The final Amharic version was subjected to face validity and then content validity was computed. This community-based study was conducted from November 2023 to May 2024 with a total of 150 participants selected through convenience sampling. …”
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Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea) by Degninou Yehadji, Degninou Yehadji, Geraldine Gray, Carlos Arias Vicente, Petros Isaakidis, Petros Isaakidis, Abdourahimi Diallo, Saa Andre Kamano, Thierno Saidou Diallo

“…Sensitivity, specificity, predictive positive value (PPV), predictive negative value (PNV), F-score, and area under the curve (AUC) were computed on unseen data to assess model performance. …”
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Surface-based morphometry of the cerebral cortex in cognitive impairments of varying severity in patients with age-related cerebral small vessel disease by Elena I. Kremneva, Larisa A. Dobrynina, Kamila V. Shamtieva, Victoria V. Trubitsyna, Zukhra S. Gadzhieva, Angelina G. Makarova, Maria M. Tsypushtanova, Marina V. Krotenkova

“…The assessment included the analysis of signs of cerebral small vessel disease based on the results of magnetic resonance imaging with the computation of general cerebral small vessel disease index and processing T1 multiplanar reconstruction images by surface-based morphometry to quantify general and regional brain parameters, including the thickness of the cerebral cortex. …”
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Associations between essential trace elements and sleep quality in Iranian adults based on the Pittsburgh Sleep Quality Index by Saba Kakaei, Najmaldin Ezaldin Hassan, Samaneh Nakhaee, Zohreh Manoochehri, Borhan Mansouri, Adele Elahi, Omran Davarinejad, Habibolah Khazaie, Zana Ramazani, Maryam Bahrami

“…Abstract Sleep is a fundamental physiological process essential for maintaining both physical and mental well-being. …”
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SSR_VibraProfiler: a Python package for accurate classification of varieties using SSRs with intra-variety specificity and inter-variety polymorphism by Chenhao Jiang, Chuan Dong, Zhenzhen Wu, Chenyi Shi, Qiannan Ye, Xiaopei Wu, Siyi Ma, Yuming Wen, Guoping Yu, Jiasheng Wu, Chengjun Zhang

“…Results We have developed a computational framework for variety identification, treating the presence or absence of each SSR in sequencing data as a numerical characteristic while ignoring specific loci, flanking sequences, and occurrence counts. …”
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Does Proprioceptive Impairment Affect Feedforward Motor Control? A Cross-Sectional Study on Patients With Brain Damage by Nicola Vale, Anna Righetti, Enrico Martini, Michele Boldo, Nicola Bombieri, Nicola Smania

“…Movement features concerning movement efficiency (average velocity, peak velocity), accuracy (spatial error when pointing to the nose) and motor planning (timing and spatial occurrence of velocity peak, velocity and deviation from ideal trajectory at 150ms after the movement onset) were computed. Both the groups of participants with CNS lesions performed the movement slower than healthy controls. …”
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Reorganization of integration and segregation networks in brain-based visual impairment by Ibai Diez, Carla Troyas, Corinna M. Bauer, Jorge Sepulcre, Lotfi B. Merabet

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Climate change resilience of freshwater supply on small islands: Research gaps and strategies for a case study in Grand Bahama by Anne Imig, Kristen Welsh, Sophia Klausner, Carolina Iwane Hotta, Zeko McKenzie, Francesca Perosa, Mark Stephens, Amber Turner, John Thomas, Henrique Marinho Leite Chaves, Clare Bowen-O′Connor, Andrew Moxey, Zoi Dokou, Arno Rein

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When, where, who, what, and why? The five Ws of workflow analysis for implementing an AI decision support tool at the intensive care by Anne A.H. de Hond, Suzanne Vosslamber, Sanne Lange, Friso Engel, Mette Lindhout, Puck Noorlag, Ewout W. Steyerberg, Giovanni Cinà, M. Sesmu Arbous

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