Machine Learning for 1-Year Mortality Prediction in Lung Transplant Recipients: ISHLT Registry by Hye Ju Yeo, Hye Ju Yeo, Dasom Noh, Eunjeong Son, Eunjeong Son, Sunyoung Kwon, Sunyoung Kwon, Sunyoung Kwon, Woo Hyun Cho, Woo Hyun Cho

“…Optimizing lung transplant candidate selection is crucial for maximizing resource efficiency and improving patient outcomes. …”
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Infectious diseases on passenger ships: Port preparedness and response - A narrative systematic review by Johannes A. Neumann, Jette Zimmermann, Marie Frese, Martin Dirksen-Fischer, Scarlett Kleine-Kampmann, Volker Harth, Jan Heidrich

“…Results: A total of 593 publications were initially identified, with 23 articles included in the analysis. …”
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A general strategy to achieve see-through devices through the micro-structuring of colored functional materials by Zishou Hu, Xueqing Tang, Yuan-Qiu-Qiang Yi, Shuhong Nie, Xiaolian Chen, Wenya Xu, Chenchao Huang, Xinju Mu, Zhongsheng Ma, Pengyu Tang, Xinzhou Wu, Wenming Su, Christine K. Luscombe

“…To overcome this limitation, we selectively integrate functional materials into micron-wide groove structures transforming functional layers to functional meshes. …”
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Structures and strategies for retaining an international pediatric cohort from birth: Lessons from The Environmental Determinants of Diabetes in the Young (TEDDY) study by Patricia Gesualdo, Jessica Melin, Rachel Karban, Claire Crouch, Michael Killian, Diane Hopkins, Annika Adamsson, Joanna Stock, Suzanne Bennett Johnson, Judith Baxter

“…Background: Retention of study participants in observational studies is essential to maintaining the representativeness of the population, minimizing selection bias, and assuring sufficient statistical power. …”
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Data-Driven Fault Detection and Diagnosis in Cooling Units Using Sensor-Based Machine Learning Classification by Amilcar Quispe-Astorga, Roger Jesus Coaquira-Castillo, L. Walter Utrilla Mego, Julio Cesar Herrera-Levano, Yesenia Concha-Ramos, Erwin J. Sacoto-Cabrera, Edison Moreno-Cardenas

“…Finally, a validation test was performed with the best-selected model in real time, simulating a real environment for the PAC system, achieving an accuracy rate of 93.49%.…”
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Multidisciplinary stakeholder engagement in a type 2 diabetes comparative effectiveness study utilizing real-world data by Elizabeth H. Golembiewski, Mindy M. Mickelson, Juan P. Brito, Victor M. Montori, Rozalina G. McCoy

“…Members were surveyed post-study initiation to assess their participation goals and experiences to date. …”
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Identification of optimal biomarkers associated with distant metastasis in breast cancer using Boruta and Lasso machine learning algorithms by Jia-ning Qin, Wen-bin Dai, Wen-hai Zhang, Bin-jie Chen, Ling Liang, Chun-feng Liang, Chun-guo Lu, Qi-xing Tan, Chang-yuan Wei, Yang Tan, Fang Wu

“…The selected key indicators were evaluated for their association with distant metastasis risk using multivariate logistic regression analysis and restricted cubic spline functions. …”
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MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography by Mohammed Yaqoob, Mohammed Yusuf Ansari, Mohammed Ishaq, Issac Sujay Anand John Jayachandran, Mohammed S. Hashim, Thomas Daniel Seers

“…We introduce a state-of-the-art computer vision pipeline, built on deep learning architectures, for segmenting and classifying individual microcrystals from SEM images. Initially applied to low-Mg calcite carbonate rocks, instance segmentation is achieved using a custom-tuned version of Meta’s Segment Anything Model (SAM). …”
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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

“…This study offers high-level guidance for the selection and application of LLM enhancement methods in geoscience.…”
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Psychedelic-Induced Neural Plasticity: A Comprehensive Review and a Discussion of Clinical Implications by Francesco Weiss, Anna Magnesa, Matteo Gambini, Riccardo Gurrieri, Eric Annuzzi, Camilla Elefante, Giulio Perugi, Donatella Marazziti

“…., both clinical and preclinical, that supplied original data. <b>Results</b>: We initially obtained a total of 1083 entries, 813 from MEDLINE/PubMed and 270 from Web of Science. …”
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Achieving stable implosion through hydro-equivalent analysis for direct-driven inertial confinement fusion by Z. Li, X.H. Yang, G.B. Zhang, B. Zeng, B.H. Xu, Z.H. Chen, Y.Y. Ma, F.Q. Shao, J. Zhang

“…The most stable laser profile and target structure design can be quickly selected and the development of RTI is verified in the two-dimensional radiation hydrodynamics simulation. …”
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Analysis of the prognostic and immune role of MCM6 in pan-cancer and experimental validation in lung adenocarcinoma cells by Minghua Liao, Chunyu Li, Jun Lv, Rui Yang, Jun Li, Ke Wu, Jiayi Zhang, Qian Zhu, Yingchang Shi, Xianming Zhang

“…Abstract Mini-chromosome maintenance protein 6 (MCM6), a member of the DNA replication initiation complex, is considered a potential prognostic marker for multiple tumors. …”
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Features of Paradigm for forming anti-cataclysmic instruments for preventing aggressive interstate conflicts – artificial intelligence (AI) in terms of ensuring objective personnel... by B. M. Andrushkiv, L. S. Golovkova, N. B. Kyrych, O. B. Pohajdak, K. Hannouf

“…The authors propose a paradigm of forming an AI-based anti-cataclysmic toolkit for preventing aggressive interstate conflicts initiated by “worthless” leaders. It is proposed to increase the effectiveness of these measures through managerial, state innovation and management mechanisms. …”
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Hip fracture surgery in resource-limited environments: a systematic literature review by Sara N. Kiani, MD, MPH, Verena Oberlohr, BS, Hannah Elsevier, MD, MPH, Daniella M. Cordero, MD, Peggy M. Tahir, MLIS, MA, Theodore Miclau, MD

“…Data Synthesis:. Of the 2533 initially identified abstracts, a total of 24 articles met the criteria for inclusion and were selected for final data extraction after full-text screening. …”
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The effects of high-intensity training on walking speed and endurance in the subacute phase poststroke: a systematic review by Alejandro Ojeda-Manzano, Elsy Arlene Pérez-Padilla, Sergio Iván Sanguino-Suárez, Christine Cabelka, Humberto Salgado, Alexandra Borstad

“…Results: Of 1,642 studies initially retrieved, 10 studies with a total of 677 participants were included. …”
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Venous Thromboembolism Prophylaxis in Intensive Care Units (Review) by L. V. Popova, T. B. Kondratieva, M. Z. Kanevskaya, T. L. Aleinikova, E. S. Zykova, А. V. Krivova, A. M. Kuznetsov

“…VTE is common and potentially life-threatening in patients admitted to ICU, even in spite of preventive care.The purpose of the review is to justify the necessity of preventive care for venous thromboembolism in ICU patients.From over 300 initially selected sources of literature databases (Scopus, Web of science, RSCI, etc.), 99 sources were chosen including 69 that were published during the last five years (2015-2020). …”
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Exploring Blockchain&#x2013;IoT Convergence for Logistics Traceability: A Systematic Review and Future Outlook by Yahaya Saidu, Shuhaida Mohamed Shuhidan, Izzatdin Abdul Aziz, MD Mahmudul Alam, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Shamsuddeen Adamu

“…A total of 1,619 records were initially retrieved from IEEE Xplore, MDPI, ScienceDirect, Scopus, and Web of Science, from which 61 peer-reviewed studies published between 2015 and 2024 were selected and analyzed. …”
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Adaptive machine learning framework: Predicting UHPC performance from data to modelling by Yinzhang He, Shaojie Gao, Yan Li, Yongsheng Guan, Jiupeng Zhang, Dongliang Hu

“…The framework has several key modules: data preprocessing, feature selection, outlier detection, model training, hyperparameter optimization, and model interpretation. …”
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Genetic characterization and mapping of the shell-strength trait in peanut by Gilad Ben Israel, Srinivas Kunta, William Mlelwa, Arye Harel, Kapil Gupta, Yael Levy, Shmuel Galili, Ran Hovav

“…Conclusions These findings provide valuable insights into the genetic and compositional factors that influence shell strength in peanut, laying a foundation for marker-assisted selection in breeding programs focused on improving pod hardness in peanuts.…”
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Obtaining the Highest Quality from a Low-Cost Mobile Scanner: A Comparison of Several Pipelines with a New Scanning Device by Marek Hrdina, Juan Alberto Molina-Valero, Karel Kuželka, Shinichi Tatsumi, Keiji Yamaguchi, Zlatica Melichová, Martin Mokroš, Peter Surový

“…Given the growing availability of 3D-based forest inventory algorithms, a selection of such processing pipelines was used to assess the practical potential of the scanning devices. …”
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