Node and Edge Joint Embedding for Heterogeneous Information Network by Lei Chen, Yuan Li, Hualiang Liu, Haomiao Guo

“…Experiments on three tasks and five public datasets show that our NEJE model performance improves by about 2.83% over other models, and even improves by 6.42% on average for the node clustering task on Digital Bibliography & Library Project (DBLP) dataset.…”
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Identification of Levothyroxine Antichagasic Activity through Computer-Aided Drug Repurposing by Carolina L. Bellera, Darío E. Balcazar, Lucas Alberca, Carlos A. Labriola, Alan Talevi, Carolina Carrillo

“…A conformation-independent classifier capable of identifying Cz inhibitors was derived from a 163-compound dataset and later applied in a virtual screening campaign on the DrugBank database, which compiles FDA-approved and investigational drugs. 54 approved drugs were selected as candidates, 3 of which were acquired and tested on Cz and T. cruzi epimastigotes proliferation. …”
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Prototype of a Spring-Loaded Module for Axillary Crutches by Dalia Danely Méndez-Gómez, Arturo Minor-Martínez, Salvador Montoya-Alvarez, Fernando Pérez-Escamirosa, Jessica Cantillo-Negrete

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Colonial breeding impacts potentially fitness-relevant cognitive processes in barn swallows by Angela Medina-García, Ellen Scherner, Molly T. McDermott, Mark E. Hauber, Rebecca J. Safran

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Enhancing thyroid disease prediction and comorbidity management through advanced machine learning frameworks by P. Sanju, N. Syed Siraj Ahmed, P. Ramachandran, P. Mohamed Sajid, R. Jayanthi

“…Utilizing the UCI Thyroid Dataset, the framework combines the strengths of deep learning-based feature extraction and traditional machine learning classifiers. …”
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An Investigation of the Domain Gap in CLIP-Based Person Re-Identification by Andrea Asperti, Leonardo Naldi, Salvatore Fiorilla

“…Despite recent advances, the domain gap—performance degradation when models encounter unseen datasets—remains a critical challenge. CLIP-based models, leveraging multimodal pre-training, offer potential for mitigating this issue by aligning visual and textual representations. …”
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LSTM+MA: A Time-Series Model for Predicting Pavement IRI by Tianjie Zhang, Alex Smith, Huachun Zhai, Yang Lu

“…In this work, a long short-term memory (LSTM)-based model, LSTM+MA, is proposed to predict the IRI of pavements using the time-series data extracted from the long-term pavement performance (LTPP) dataset. Effective preprocessing methods and hyperparameter fine-tuning are selected to improve the accuracy of the model. …”
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Involvement of Thalamus in Initiation of Epileptic Seizures Induced by Pilocarpine in Mice by Yong-Hua Li, Jia-Jia Li, Qin-Chi Lu, Hai-Qing Gong, Pei-Ji Liang, Pu-Ming Zhang

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Maximum Dry Unit Weight and Optimum Moisture Content Prediction of Lateritic Soils Using Regression Analysis by Yufeng Qian

“…The outputs of suggested equations to estimate γdmax related to modified proctor compaction test provide proper capability in the modeling procedure. In the training dataset, the value of all criteria for MARS-OI-3 is proper, with the value of 0.9365, 0.4146, and 93.647 for R2, RMSE, and VAF, respectively. …”
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Prevalence of low bone mineral density in ankylosing spondylitis, correlation with disease activity, and serum sclerostin levels by Anupam Wakhlu, Akhil Pawan Goel, Puneet Kumar

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Investigation of Homocysteine-Pathway-Related Variants in Essential Hypertension by Javed Y. Fowdar, Marta V. Lason, Attila L. Szvetko, Rodney A. Lea, Lyn R. Griffiths

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Orographic Effect and the Opposite Trend of Rainfall in Central Vietnam by Thang Nguyen Van, Mau Nguyen Dang, Van Doan Quang, Tuan Bui Minh, Khiem Mai Van, Kham Duong Van, Thuy Tran Thanh, Duong Trinh Hoang, Tam Tran Thi, Quyen Nguyen Huu, Thai Luong Xuan, Hien Tran Duy

“…For the first time, this study investigates the detailed atmospheric mechanisms associated with rainfall variations in central Vietnam using the empirical orthogonal function (EOF) applied to the recently developed high-resolution Vietnam gridded precipitation (VnGP) dataset. Reanalysis data NCEP/NCAR is used to associate the rainfall changes with respective atmospheric mechanisms. …”
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Fast Detection of Deceptive Reviews by Combining the Time Series and Machine Learning by Minjuan Zhong, Zhenjin Li, Shengzong Liu, Bo Yang, Rui Tan, Xilong Qu

“…A series of numerical experiments on a real dataset acquired from Taobao.com have confirmed the effectiveness of the proposed model, not only reaping benefits in terms of time efficiency and high accuracy but also overcoming the shortcomings of supervised learning methods, which depend on large amounts of labeled examples. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…Processing times vary depending on dataset size and the selected mode, with the fast detection mode completing analyses that can be 4–6 times faster than the robust detection mode. …”
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Enhancing thyroid nodule assessment with deep learning and ultrasound imaging by Jatinder Kumar, Surya Narayan Panda, Devi Dayal, Manish Sharma

“…The models' testing and training were done with Digital Database of Thyroid Ultrasound Images (DDTI) which is gold standard dataset. The results demonstrate a classification accuracy of 97.13%, 90.31% and 83.59% with ResNet-18, VGG-19 and AlexNet, respectively. …”
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Evaluating basic household characteristics influencing domestic water demand in tropical environments: a comprehensive case study by Timothy Oyebamiji Ogunbode, Victor, Oyedeji Oyebamiji, Ayobami Alani Oyelami, Timothy Ayo Akinkuolie

“…Factorability of the dataset was confirmed (KMO = 63.4, p < 0.005). Analysis identified seven key variables, explaining 72.03% of observed variance: household size, water source reliability, time cost of obtaining water, water storage strategy, consumptive water use, monthly income, and water source management type. …”
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Key drivers of medical crowdfunding success: a comprehensive analysis of 84,712 projects by Siyuan Zhang, Qing Zhang, Mengning Wang, Xin Tang, Xin Lu, Wei Huang

“…This study collects a large dataset from one of China’s largest crowdfunding platforms, encompassing 84,712 unique projects, and employs comprehensive analysis on investigating the impact of a variety of factors, including project features and patient characteristics. …”
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STEADFAST: Psychotherapeutic Intervention Improves Postural Strategy of Somatoform Vertigo and Dizziness by Christoph Best, Regine Tschan, Nikola Stieber, Manfred E. Beutel, Annegret Eckhardt-Henn, Marianne Dieterich

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Potential for Vertical Heterogeneity Prediction in Reservoir Basing on Machine Learning Methods by Hongqing Song, Shuyi Du, Ruifei Wang, Jiulong Wang, Yuhe Wang, Chenji Wei, Qipeng Liu

“…A numerical simulation technique was adopted to obtain the required dataset, which contains dynamic production data calculated under different heterogeneous reservoir conditions. …”
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Framing discomfort on YouTube: Narratives of non-binary dysphoria by Letizia Paglialunga

“…., 2014), to identify distinctive lexical patterns that characterize the expression of discomfort and dysphoria. The dataset includes YouTube videos from five channels owned by non-binary YouTubers, which could be considered, by virtue of their content and stated purpose, as explicit non-binary communicative gender performances. …”
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