An Enhanced Approach Using AGS Network for Skin Cancer Classification by Hwanyoung Lee, Seeun Cho, Jiyoon Song, Hoyoung Kim, Youjin Shin

“…To address this limitation, this study proposes the AGS network, designed to overcome the challenges of small datasets and enhance the performance of skin cancer classifiers. …”
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Multi-Layer Perceptron Model Integrating Multi-Head Attention and Gating Mechanism for Global Navigation Satellite System Positioning Error Estimation by Xiuxun Liu, Zuping Tang, Jiaolong Wei

“…In particular, the root mean square error of the presented method in the first dataset is 0.239 m, which is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>39.2</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>17</mn><mo>%</mo></mrow></semantics></math></inline-formula> lower than the current state-of-the-art long short-term memory network and convolutional neural network, respectively. …”
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Identification and Characterization of Families That Are Positively Deviant for Childhood Obesity in a Latino Population: A Case-Control Study by Byron A. Foster, Christian A. Aquino, Sharol Mejia, Barbara J. Turner, Arvind Singhal

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Higher intakes of lysine, threonine and valine are inversely associated with non-alcoholic fatty liver disease risk: A community-based case-control study in the Chinese elderly by Xueqi Li, Wenjun Ma, Ting Yang, Chong Wang, Wei Zhang, Hui Li, Ting Zhao, Xiaofei Guo

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Analysis of Amino Acid Changes in the Fusion Protein of Virulent Newcastle Disease Virus from Vaccinated Poultry in Nigerian Isolates by Olubukola O. Funsho-Sanni, Elijah E. Ella, Lawal D. Rogo, Olufunsho S. Sanni, Helen I. Inabo, Sodangi A. Luka, Ismaila Shittu

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A Lightweight Human Activity Recognition Method for Ultra-wideband Radar Based on Spatiotemporal Features of Point Clouds by Yongkun SONG, Tianxing YAN, Ke ZHANG, Xian LIU, Yongpeng DAI, Tian JIN

“…The proposed method is then validated using a public four-dimensional radar imaging dataset and compared with existing methods. The results show that the proposed method achieves a human activity recognition rate of 96.75% while consuming fewer parameters and computational resources, thereby verifying its effectiveness.…”
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Grazing regime rather than grazing intensity affect the foraging behavior of cattle by You Wang, Rui Yu, Xin Li, Ronghao Chen, Jiahui Liu

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Multidimensional library for the improved identification of per- and polyfluoroalkyl substances (PFAS) by Kara M. Joseph, Anna K. Boatman, James N. Dodds, Kaylie I. Kirkwood-Donelson, Jack P. Ryan, Jian Zhang, Paul A. Thiessen, Evan E. Bolton, Alan Valdiviezo, Yelena Sapozhnikova, Ivan Rusyn, Emma L. Schymanski, Erin S. Baker

“…Using a platform coupling reversed-phase liquid chromatography (RPLC), electrospray ionization (ESI) or atmospheric pressure chemical ionization (APCI), drift tube ion mobility spectrometry (IMS), and mass spectrometry (MS), the retention times, collision cross section (CCS) values, and m/z ratios were determined for all analytes and assembled into an openly available multidimensional dataset. This information will provide the scientific community with essential characteristics to expand analytical assessments of PFAS and augment machine learning training sets for discovering new PFAS.…”
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GC-MS Analysis, Antimicrobial and Antioxidant Activities of Extracts of the Aerial Parts of <i>Conyza sumatrensis</i> by Olapeju O Aiyelaagbe, Stephen O Oguntoye, Abdulmumeen A Hamid, Adebola M Ogundare, David B Ojo, Ajibola Ajao, Nurudeen O Owolabi

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Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification by A. Yeong Han, Kwang Moo Yi, Kyeong Tae Kim, Jae Young Choi

“…We conducted extensive and comparative experiments on three benchmark datasets: NABirds, CUB-200, and Oxford 102 Flower. …”
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Role of the IL-6 Gene in the Etiopathogenesis of Idiopathic Scoliosis by Svetla Nikolova, Milka Dikova, Dobrin Dikov, Assen Djerov, Gyulnas Dzhebir, Ventseslav Atanasov, Alexey Savov, Ivo Kremensky

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A Machine Learning Approach to Adapt Local Land Use Planning to Climate Change by Julia Forster, Stefan Bindreiter, Birthe Uhlhorn, Verena Radinger-Peer, Alexandra Jiricka-Pürrer

“…We create an inventory of categories of areas with different features to inform nature-based solutions and backcasting planning decisions and build a training dataset for ML models. Our model predicts the effects of planning decisions on soil sealing. …”
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Speech Emotion Recognition Model Based on Joint Modeling of Discrete and Dimensional Emotion Representation by John Lorenzo Bautista, Hyun Soon Shin

“…Experiments conducted on the IEMOCAP dataset using a leave-one-subject-out approach demonstrate the model’s effectiveness, with results showing a 1–2% accuracy improvement over classification-only models. …”
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Determination of 13 Aminoglycoside Residues in Milk by Weak Cation Exchange Solid Phase Extraction Coupled with Ultra-high Performance Liquid Chromatography-Tandem Mass Spectrometr... by HE Jinlin, SHEN Luying, SUN Ting, FU Jianwei, YAN Lijuan, XU Dunming

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Deep learning for the classification of atrial fibrillation using wavelet transform-based visual images by Ling-Chun Sun, Chia-Chiang Lee, Hung-Yen Ke, Chih-Yuan Wei, Ke-Feng Lin, Shih-Sung Lin, Hsin Hsiu, Ping-Nan Chen

“…Conclusions Training deep learning machines for the classification of AF with MsCWT-based images demonstrated to yield favorable outcomes and achieved superior performance amongst studies utilizing the same dataset. Though minimal, the conversion of signals into wavelet form with MsCWT may drastically improve outcomes not only in future ECG signal studies; but all signal-based diagnostics.…”
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The Walk of Guilt: Multimodal Deception Detection from Nonverbal Motion Behaviour by Sharifa Alghowinem, Sabrina Caldwell, Ibrahim Radwan, Michael Wagner, Tom Gedeon

“…Using the video recording of walking from the Whodunnit deception dataset, which contains 49 subjects performing scenarios that elicit deceptive behaviour, we conduct multimodal two-category (guilty/not guilty) subject-independent classification. …”
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Leveraging the Chain on Goals Model in Football: Applications for Attack and Defensive Play by Blanca De-la-Cruz-Torres, Miguel Navarro-Castro, Anselmo Ruiz-de-Alarcón-Quintero

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Development and Application of Physiologically-Based Pharmacokinetic Model to Predict Systemic and Organ Exposure of Colorectal Cancer Drugs by Sara Peribañez-Dominguez, Zinnia Parra-Guillen, Iñaki F. Troconiz

“…Results: The data from 51 clinical studies were extracted and combined in one single dataset. The PBPK models successfully described the exposure vs. time profiles with respect to both, with both the typical tendency and dispersion shown by the data. …”
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Detection of Intracranial Hemorrhage from Computed Tomography Images: Diagnostic Role and Efficacy of ChatGPT-4o by Mustafa Koyun, Zeycan Kubra Cevval, Bahadir Reis, Bunyamin Ece

“…After a two-week interval, the same dataset was re-evaluated to assess intra-observer reliability and consistency. …”
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A novel breath pattern model and analysis to minimize patient discomfort in medical ventilators by M. Deepa, R. Vidhyapriya, A. S. Raagul

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