A karyomorphological study on Actaea acuminata, A. asiatica, and A. erythrocarpa (Ranunculaceae) by Elizaveta Yu. Mitrenina, Andrey S. Erst, Denis A. Krivenko, Tatiana N. Veklich, Tatiana V. Leonova, Olga A. Chernyagina, Valentin V. Yakubov, Kunli Xiang, Yuan-Yuan Ling, Wei Wang

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Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning by Daniel M. Mwanga, Isaac C. Kipchirchir, George O. Muhua, Charles R. Newton, Damazo T. Kadengye, Abankwah Junior, Albert Akpalu, Arjune Sen, Bruno Mmbando, Charles R. Newton, Cynthia Sottie, Dan Bhwana, Daniel Mtai Mwanga, Damazo T. Kadengye, Daniel Nana Yaw, David McDaid, Dorcas Muli, Emmanuel Darkwa, Frederick Murunga Wekesah, Gershim Asiki, Gergana Manolova, Guillaume Pages, Helen Cross, Henrika Kimambo, Isolide S. Massawe, Josemir W. Sander, Mary Bitta, Mercy Atieno, Neerja Chowdhary, Patrick Adjei, Peter O. Otieno, Ryan Wagner, Richard Walker, Sabina Asiamah, Samuel Iddi, Simone Grassi, Sloan Mahone, Sonia Vallentin, Stella Waruingi, Symon Kariuki, Tarun Dua, Thomas Kwasa, Timothy Denison, Tony Godi, Vivian Mushi, William Matuja

“…Categorical variables were one-hot encoded, class imbalance was addressed using synthetic minority over-sampling technique (SMOTE) and numeric variables were scaled and centered. The dataset was split into training and testing sets (7:3 ratio), and seven machine learning models, including the ensemble Super Learner, were trained. …”
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Fine particulate matter concentrations forecasting using long short-term memory network and meteorological inputs by T. Istiana, B. Kurniawan, S. Soekirno, A. Wihono, D.E. Nuryanto, B.A. Pertala, A. Sopaheluwakan

“…This study introduces the long short-term memory deep learning model and contrasts it with the one-dimensional convolution neural network as well as their hybrid counterpart. The dataset is split into 80 percent training and 20 percent testing data. …”
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STAT4, TRAF3IP2, IL10, and HCP5 Polymorphisms in Sjögren’s Syndrome: Association with Disease Susceptibility and Clinical Aspects by Serena Colafrancesco, Cinzia Ciccacci, Roberta Priori, Andrea Latini, Giovanna Picarelli, Francesca Arienzo, Giuseppe Novelli, Guido Valesini, Carlo Perricone, Paola Borgiani

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Evaluation of Serum Leucine-Rich Alpha-2 Glycoprotein as a New Inflammatory Biomarker of Inflammatory Bowel Disease by Tetsuhiro Yoshimura, Keiichi Mitsuyama, Ryosuke Sakemi, Hidetoshi Takedatsu, Shinichiro Yoshioka, Kotaro Kuwaki, Atsushi Mori, Shuhei Fukunaga, Toshihiro Araki, Masaru Morita, Kozo Tsuruta, Hiroshi Yamasaki, Takuji Torimura

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Adipose tissue may not be a major player in the inflammatory pathogenesis of Autism Spectrum Disorder by Baojiang Wang, Yueyuan Qin, Yong Chen, Xiujie Zheng, Yanjuan Chen, Juan Zhao, Feng Zhang, Shan Duan

“…The up-regulated differentially expressed genes from the GSE18123 dataset were subjected to gene ontology (GO) enrichment analysis to explore ASD-associated pathways. …”
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ANN-based two hidden layers computational procedure for analysis of heat transport dynamics in polymer-based trihybrid Carreau nanofluid flow over needle geometry by Adil Darvesh, Fethi Mohamed Maiz, Basma Souayeh, Luis Jaime Collantes Santisteban, Hakim AL. Garalleh, Afnan Al Agha, Lucerito Katherine Ortiz García, Nicole Anarella Sánchez-Miranda

“…Numerical computation of ODEs is made by a well-known bvp4c scheme and then an advanced artificial neural network (ANN) computational framework is integrated to train the resulting dataset, which is based on scaled conjugate gradient neural network (SCG-NN) to facilitate predictions regarding advanced solutions. …”
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InfectA-Chat, an Arabic Large Language Model for Infectious Diseases: Comparative Analysis by Yesim Selcuk, Eunhui Kim, Insung Ahn

“…MethodsThis comprehensive study was achieved by instruction tuning the AceGPT-7B and AceGPT-7B-Chat models on a Q&A task, using a dataset of 55,400 Arabic and English domain–specific instruction–following data. …”
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Protocol for a randomised ‘screen-and-treat’ Helicobacter pylori eradication trial in 14–18-years-old adolescents residing in three regions of Chile: effectiveness and microbiologi... by Ximena Aguilera, Camila Cabrera, Sergio George, Yalda Lucero, Beatriz Zabala Torres, Lilian Fernández, Nora Mamani, Anne Lagomarcino, Miguel O'Ryan

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Effect of supplementing epinephrine in maturation media on the developmental competence of buffalo oocytes by Ali Husnain, Abdul Khaliq, Talha Ashraf, Abdul Rehman, Muhammad Yasir Zahoor, Muhammad Binyameen, Amjad Riaz

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Scoping review of costs of implementation strategies in community, public health and healthcare settings by Hongmei Wang, Jungyoon Kim, Tzeyu L Michaud, Emiliane Pereira, Gwenndolyn Porter, Caitlin Golden, Jennie Hill, Cindy Schmidt, Paul A Estabrooks

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VECTOR: Velocity-Enhanced GRU Neural Network for Real-Time 3D UAV Trajectory Prediction by Omer Nacar, Mohamed Abdelkader, Lahouari Ghouti, Kahled Gabr, Abdulrahman Al-Batati, Anis Koubaa

“…Finally, we open-source our 5000 trajectories dataset and a ROS2 package to facilitate the integration with existing ROS-based UAV systems.…”
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Examining the Use of Machine Learning Algorithms to Enhance the Pediatric Triaging Approach by Aljubran HJ, Aljubran MJ, AlAwami AM, Aljubran MJ, Alkhalifah MA, Alkhalifah MM, Alkhalifah AS, Alabdullah TS

“…However, due to numerous outliers and incorrectly labeled data, clinical knowledge and a confident learning algorithm were employed to preprocess the dataset, leaving 18,237 patient records. Notably, ensemble algorithms surpassed other models in all evaluation metrics, with CatBoost achieving an F-1 score of 90%. …”
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Determination of Puberulic Acid in Monascus-Fermented Red Yeast Rice by LC-MS/MS Combined with Precolumn Derivatization by Hui-Qin Pan, Rui Feng, Yan-Nan Tan, Xiao-Ya Qin, Yi-Min Cao, Xiu-Hong Mao, Qing Hu, Heng Zhou

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Energy management education for persons living with long COVID-related fatigue (EMERGE): protocol of a two-parallel arms target trial emulation study in a multicentre outpatient in... by Emilia Riggi, Marco Barbero, Gian Luca Di Tanna, Ruth Hersche, Andrea Weise

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Development and validation of a nomogram for predicting immune-mediated colitis in lung cancer patients treated with immune checkpoint inhibitors: a retrospective cohort study in C... by Qianjie Xu, Xiaosheng Li, Yuliang Yuan, Guangzhong Liang, Zuhai Hu, Wei Zhang, Ying Wang, Haike Lei

“…This study aimed to identify the clinical risk factors associated with IMC development in patients with lung cancer and to develop a risk prediction model to facilitate personalized treatment and care strategies.MethodsThe data collected included 21 variables, including sociodemographic characteristics, cancer-related factors, and routine blood markers. The dataset was randomly partitioned into a training set (70%) and a validation set (30%). …”
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Risk Factors of Anaemia among Children under Five Years in the Hohoe Municipality, Ghana: A Case Control Study by Phyllis Atta Parbey, Elvis Tarkang, Emmanuel Manu, Hubert Amu, Martin Amogre Ayanore, Fortress Yayra Aku, Sorengmen Amos Ziema, Samuel Adolf Bosoka, Martin Adjuik, Margaret Kweku

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Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, John I. Jackson, PhD, Eunjung Lee, PhD, Jwan A. Naser, MBBS, Behrouz Rostami, PhD, Grace Greason, BA, Jared G. Bird, MD, Paul A. Friedman, MD, Jae K. Oh, MD, Patricia A. Pellikka, MD, Jeremy J. Thaden, MD, Francisco Lopez-Jimenez, MD, MSc, MBA, Zachi I. Attia, PhD, Sorin V. Pislaru, MD, PhD, Garvan C. Kane, MD, PhD

“…Conclusion: Robust TTE datasets can be used to effectively power HCU deep learning models, which in turn demonstrates focused diagnostic images can be obtained with handheld devices.…”
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Impact of school salad bars on fruit and vegetable selection, intake, and waste in Mid-Atlantic elementary schools by Melanie K. Bean, Suzanne E. Mazzeo, Lilian de Jonge, Laura Thornton, Hollie Raynor, Ashley Mendoza, Sarah Farthing, Bonnie Moore

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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

“…However, existing retention time prediction methods usually suffer from the scarcity of comprehensive training datasets, sparsity of valid data, and lack of classification in datasets, resulting in poor generalization capability and accuracy. …”
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