Research Progress of Noninvasive Cardiac Output Monitor (NICOTM) and Hemodynamic Monitor in Neonates by Fengying Li, Wenbin Dong

“…The integration of EC enables real-time and continuous monitoring of dynamic changes in cardiac and vascular functions in patients, thereby assisting in clinical evaluation and guiding the clinical decision-making. …”
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Multidimensional Environmental Drivers of Bamboo Species Richness on Subtropical Islands by Weifeng Zhan, Yanqiu Xie, Xinran Xie, Zujian Chen, Chuanyuan Deng, Hui Huang

“…Understanding the distribution patterns and driving mechanisms of bamboo species diversity on islands is essential for advancing knowledge of island ecosystem processes and informing strategies for bamboo resource conservation and management. This study utilized standardized major axis regression (SMA) to assess the effects of island area and isolation on bamboo species across 30 islands in Fujian, China. …”
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Quality of life in patients with metastatic colorectal cancer receiving cytotoxic and cytotoxic plus targeted therapy by Hong Tham Pham, Tuan Anh Nguyen, Thao Le Ba, Vo Ngoc Minh Tran, Ronald L. Castelino, Kim-Huong Truong-Nguyen, Bao Khanh Nguyen, Megan K. Fischer, Viet Dung Tran, Minh-Hoang Tran

“…The primary outcome was overall health and QoL (H/QoL), measured at month 12 using the EORTC QLQ-C30 global health status/QoL scale (in percentage point) and the EQ-5D-3L utility score. The secondary outcomes included each component of the EORTC QLQ-C30 functional scales and symptom scales/items (in percentage point), measured at month 12. …”
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A comprehensive review on natural convection in various shaped enclosures by FEM: Engineering applications by Asif Hasan, Mohammad Mokaddes Ali, Shakhawat Hossain, Neamul Haque Siam, Asaduzzaman Rony, Al-Amin Shohan

“…The review further explores localized heat sources, vortex formation due to embedded obstacles, porous media effects, and the synergistic influence of thermal and magnetic fields. …”
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Carbon Dots: New Rising Stars in the Carbon Family for Diagnosis and Biomedical Applications by Muneeb Ullah, Uzma Azeem Awan, Haider Ali, Abdul Wahab, Shahid Ullah Khan, Muhammad Naeem, Muhammad Ruslin, Apon Zaenal Mustopa, Nurhasni Hasan

“…Among these, biogenic synthesis, utilizing natural sources and waste materials, presents an eco-friendly and sustainable alternative. …”
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Barcoded Hybrids of Extracellular Vesicles and Lipid Nanoparticles for Multiplexed Analysis of Tissue Distribution by Alena Ivanova, Renata Chalupska, Ana Filipa Louro, Mike Firth, Hernán González‐King Garibotti, Leif Hultin, Franziska Kohl, Elisa Lázaro‐Ibáñez, Julia Lindgren, Gentian Musa, Erik Oude Blenke, Andreia M. Silva, Louis Szeponik, Agnes Taylor, Ida Viken, Xiaoqin Wang, Karin Jennbacken, John Wiseman, Niek Dekker

“…To examine this possibility further, it is shown that HAP1 hEV loaded with Cre mRNA displayed functional delivery to the lungs. Overall, the barcoded hEV technology enables rapid profiling of biodistribution across EV cell sources, which is poised to improve throughput and extent of EV studies, while reducing the number of animals required for research.…”
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Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri by Graham West, Matthew I. Swindall, Ben Keener, Timothy Player, Alex C. Williams, James H. Brusuelas, John F. Wallin

“…As such, we apply stacked generalization consisting of nearly identical ResNets with different loss functions: one utilizing sparse cross-entropy (CXE) and the other Kullback-Liebler Divergence (KLD). …”
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Exploration of interstitial fluid proteome in Homo sapiens forearm through a cutting edge intradermal microdialysis and high-throughput proteomics approach: a pilot study by Yu Sakamoto, Naoto Fujii, Junko Shibato, Ravi Gupta, Cheol Woo Min, Sun Tae Kim, Ranjith Kumar Bakku, Randeep Rakwal

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The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

“…The system comprises four functional modules including multi-channel active surveillance, intelligent early warning, data-driven risk assessment, and smart emergency response. …”
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FORMATION OF A METHODOLOGICAL APPROACH TO CHOOSE AN HR MANAGEMENT STRATEGY TO ENSURE THE FINANCIAL SECURITY OF AN ENTERPRISE by Oksana Verbova

“…The results of fuzzy sets made it possible to construct graphs of utility functions. This, in turn, allowed to form a fuzzy knowledge base for choosing the optimal HR management strategy to ensure the financial security of the enterprise. …”
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Analyzing Chemical Decay in Environmental Nanomaterials Using Gamma Distribution with Hybrid Censoring Scheme by Hanan Haj Ahmad, Dina A. Ramadan, Mohamed Aboshady

“…Additionally, we utilize the Markov chain Monte Carlo technique within the Bayesian framework to ensure robust parameter estimation. …”
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Assessing the validity and reliability of the persian version of Self-concept and Identity Measure in an Iranian population by Saba Tutunchian, Ali Reza Shafiee-Kandjani, Ayyoub Malek, Behzad Shalchi

“…This study examines the validity and reliability of the Persian version of the Self-Concept and Identity Measure, designed to assess healthy and disrupted identity functions. Methods. This study utilized a methodological design and focused on students at Tabriz University of Medical Sciences for the 2023-2024 academic year. …”
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ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN by Madiyar SULTANBEK, Nazdana ADILOVA, Aleksander SŁADKOWSKI, Arnur KARIBAYEV

“…In the context of transportation services, accurate demand forecasting is essential for successful operational planning and management of functional areas such as transportation operations, marketing, and finance. …”
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Descriptive – Analytical Investigation of the Phenomenon of the Psyche from the View of Origin, Roots and Essence (Before and After the Renaissance of Neuroscience) by Mir Mahmoud Seyyedvalilou, Marziye Alivandi Vafa, Seyed Mahmoud Tabatabaei

“…Methods: The research methodology utilized Grounded Theory for fundamental concept formation and content analysis. …”
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Causal relationship between immune cells and acute myeloid leukemia: a two-sample Mendelian randomization study by Fanhua Yu, Hao Jiang, Yena Gu

“…Pooled phenotypic data from 3,757 individuals in a Sardinian cohort, encompassing 731 immune cell phenotypes, were utilized. Aggregate data on AML were sourced from the FinnGen project of the Finnish Biobank. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…These datasets serve two functions: improving illness prediction and examining large data reservoirs to identify previously unknown disease patterns. …”
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Country-Level Bibliometric Analysis of Edible Insect Research: Geographic Distribution and Contributions to Advancing Sustainable Alternatives for Food and Feed by Budi Wardiman, Asmuddin Natsir, Syahriani Syahrir, Ulva Dianasari, null Ardianto

“…Emerging themes include bioactive compounds, functional foods, circular economy practices, and sustainable feed for livestock and aquaculture, aligning with global sustainability goals. …”
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visPIG--a web tool for producing multi-region, multi-track, multi-scale plots of genetic data. by Matthew Scales, Roland Jäger, Gabriele Migliorini, Richard S Houlston, Marc Y R Henrion

“…., to integrate data from multiple sources for interpretation and to easily create publication-ready figures. …”
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Maximizing Bifunctionality for Overall Water Splitting by Integrating H2 Spillover and Oxygen Vacancies in CoPBO/Co3O4 Composite Catalyst by Rinkoo Bhabal, Aniruddha Bhide, Suraj Gupta, Rohan Fernandes, Nainesh Patel

“…In the pursuit of utilizing renewable energy sources for green hydrogen (H2) production, alkaline water electrolysis has emerged as a key technology. …”
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MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling by Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács

“…Recently, a new framework to embed GEMs in a neural network has been introduced: these hybrid models combine the strengths of mechanistic and data-driven approaches, offering a promising platform for integrating different data sources with mechanistic knowledge. In this study, we present a Metabolic-Informed Neural Network (MINN) that utilizes multi-omics data to predict metabolic fluxes in Escherichia coli, under different growth rates and gene knockouts. …”
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