Pemodelan Spasial Lahan Terbangun Kota Jambi by Ayu Mardalena, Supriatna Supriatna, Muhammad Dimyati

“…The research employs a supervised classification method utilizing the Random Forest (RF) algorithm on Landsat 8 satellite imagery to track changes from the years 2013, 2016, 2019, and 2023, with accuracy validated using the kappa index. …”
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Establishment and validation of a combined diagnostic model for aldosterone-producing adenoma of the adrenal gland based on CT radiomics and clinical features by ZHANG Mingquan, LIU Jingjing, LIN Xin, FU Min, FENG Ying, CHEN Jingjing

“…The Pearson correlation coefficient and the least absolute shrinkage and selection ope-rator (LASSO) algorithm were used to identify the radiomic features on the plain CT and contrast-enhanced CT images of the adrenal gland, and a CT radiomic model was established. …”
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Thymidine phosphorylase and prostrate cancer cell proliferation inhibitory activities of synthetic 4-hydroxybenzohydrazides: In vitro, kinetic, and in silico studies. by Sumaira Javaid, Syed Muhammad Saad, Humaira Zafar, Rizwana Malik, Khalid Mohammed Khan, M Iqbal Choudhary, Atta-Ur Rahman

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Adverse events in the neonatal intensive care unit identified by triggers by Fabiana Bragança Albanese, Deise de Souza Ventura, Deise de Souza Ventura, Maurício Wesley Perroud, Maurício Wesley Perroud, Rafael Nogueira de Souza, Mariana Vieira Morau, Marília Berlofa Visacri, Marília Berlofa Visacri, Patricia Moriel, Patricia Moriel

“…AE severity was assessed using the Neonatal Adverse Event Severity Scale (NAESS) and the World Health Organization (WHO) classification, while ADR causality was evaluated using the WHO criteria and the algorithm proposed by Du et at. …”
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Explainable machine learning model for predicting the transarterial chemoembolization response and subtypes of hepatocellular carcinoma patients by Yunjie Zhang, Songjian Tong, Junhui Yang, Jiawei Lin, Yifan Kong, Deyu Lu, Yan Chen, Yingchao Li, Linfeng Xu, Xiuyan Kong, Guoqing Zhu, Hao Zhang, Pixu Liu, Zhijie Yu, Jinglin Xia

“…Through recursive feature elimination (RFE), we systematically developed prediction models employing ten distinct ML algorithms. The SHAP algorithm was implemented to enhance model interpretability, while patient stratification was subsequently performed using PCA and K-means clustering to facilitate comprehensive prognostic analysis. …”
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Mapping global risk levels of Bemisia tabaci in areas of suitability for open field tomato cultivation under current and future climates. by Rodrigo Soares Ramos, Lalit Kumar, Farzin Shabani, Marcelo Coutinho Picanço

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Norepinephrine use in cardiogenic shock patients is associated with increased 30 day mortality by Xin Lu, Xue Wang, Yanxia Gao, Joseph Harold Walline, Shiyuan Yu, Zengzheng Ge, Mubing Qin, Huadong Zhu, Yi Li

“…Conclusions Cardiogenic shock patients treated with norepinephrine were associated with significantly increased short‐term mortality, while no significant difference was found on long‐term survival rates. …”
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Gaps in universal health coverage in South Korea: Association with depression onset in a community cohort. by Hye Yin Park, Yun-Chul Hong, Ichiro Kawachi, Juhwan Oh

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Dopamine transporter oligomerization involves the scaffold domain, but spares the bundle domain. by Kumaresan Jayaraman, Alex N Morley, Daniel Szöllősi, Tsjerk A Wassenaar, Harald H Sitte, Thomas Stockner

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Assessing reading fluency in elementary grades: A machine learning approach by Gabriel Candido da Silva, Rodrigo Lins Rodrigues, Américo N. Amorim, Lieny Jeon, Emilia X.S. Albuquerque, Vanessa C. Silva, Vinícius F. da Silva, André L.A. Pinheiro, João P.J.R. Nunes, Suzana X.M.G. de Souza, Maxsuel S. Silva, Igor Mauro, Alexandre Magno Andrade Maciel

“…This study compares eleven widely used machine learning algorithms to identify the most accurate and comprehensive method for assessing children's reading fluency. …”
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Human demographic history has amplified the effects of background selection across the genome. by Raul Torres, Zachary A Szpiech, Ryan D Hernandez

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Proteomic analysis of the response of Trichinella spiralis muscle larvae to exogenous nitric oxide. by Xiaoli Wang, Liang Li, Xing Wei, Yuanyuan Wang, Hui Zhang, Ao Shi, Tao Liu, Xiaodi Yang, Qiang Fang

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Notch signaling regulates the responses of lipopolysaccharide-stimulated macrophages in the presence of immune complexes. by Wipawee Wongchana, Pornrat Kongkavitoon, Pattarin Tangtanatakul, Chutamath Sittplangkoon, Patcharavadee Butta, Supatta Chawalitpong, Thitiporn Pattarakankul, Barbara A Osborne, Tanapat Palaga

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Limits on reliable information flows through stochastic populations. by Lucas Boczkowski, Emanuele Natale, Ofer Feinerman, Amos Korman

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YOLOv8-Based Estimation of Estrus in Sows Through Reproductive Organ Swelling Analysis Using a Single Camera by Iyad Almadani, Mohammed Abuhussein, Aaron L. Robinson

“…By using this comprehensive approach, we significantly enhanced the accuracy of estrus detection in sows while effectively mitigating human errors and resource wastage. …”
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Changes in parasite traits, rather than intensity, affect the dynamics of infection under external perturbation. by Suma Ghosh, Matthew J Ferrari, Ashutosh K Pathak, Isabella M Cattadori

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HPV-negative oropharyngeal carcinoma as a separate prognostkally unfavorable form of cancer, requiring new approaches to treatment (case report) by A. R. Gevorkov, A. V. Boyko, A. P. Polyakov, L. V. Bolotina, N. N. Volchenko, I. V. Rebrikova, A. М. Lemeshko, S. V. Shashkov

“…HPV-negative oropharyngeal cancer requires an optimized treatment algorithm and, possibly, more aggressive therapeutic measures, such as increased radiation doses. …”
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Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for early diagnosis and molecular subtyping of pancreatic cancer by Jianying Xu, Wenjie Shi, Yi Zhu, Chao Zhang, Julia Nagelschmitz, Maximilian Doelling, Sara Al-Madhi, Ujjwal Mukund Mahajan, Maciej Pech, Georg Rose, Roland Siegfried Croner, Guoliang Zheng, Christoph Kahlert, Ulf Dietrich Kahlert

“…Radiomics features were extracted and analyzed using the limma package, with feature selection conducted via the Boruta algorithm and model construction through Least Absolute Shrinkage and Selection Operator regression. …”
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Early Forest Fire Detection With UAV Image Fusion: A Novel Deep Learning Method Using Visible and Infrared Sensors by Kunlong Niu, Chongyang Wang, Jianhui Xu, Jianrong Liang, Xia Zhou, Kaixiang Wen, Minjian Lu, Chuanxun Yang

“…Visible images are effective for smoke detection but are influenced by environmental factors, while infrared images are better at detecting heat but can misidentify fires when the temperature difference between the fire and its surroundings is minimal. …”
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Integrating Dynamic Red Blood Cell Distribution Width Monitoring and β-Blocker Therapy for Mortality Prediction in Intensive Care Unit Cardiomyopathy Patients: A Bayesian Multivari... by Si Chen, Rui Nie, Yi Wang, Haoran Guo, Yan Wang, Haixia Luan, Xiaoli Zeng, Hui Yuan

“…Key predictors were identified using Least absolute shrinkage and selection operator (LASSO) regression and the Boruta algorithm. Restricted cubic splines (RCSs) were used to examine nonlinear relationships. …”
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