DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

“…Moreover, these models have incomplete interpretation and optimization issues, which do not suit their application in a clinical setting. On this, we propose a novel framework for the detection of cardiovascular diseases and presiding analysis through multimodal data fusion, optimized neural networks, and explainable AI techniques. …”
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Real‐Climatic Microcontroller‐in‐the‐Loop (RCMIL) Framework: A Novel, Rapid, and Cost‐Effective Approach for Verifying Photovoltaic Control Systems by Ambe Harrison, Idriss Dagal, Wulfran Fendzi Mbasso, Fritz Nguemo Kemdoum, Reagan Jean Jacques Molu, Hamid Belghiti, Pradeep Jangir

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DualCMNet: a lightweight dual-branch network for maize variety identification based on multi-modal feature fusion by Xinhua Bi, Hao Xie, Ziyi Song, Jinge Li, Chang Liu, Xiaozhu Zhou, Helong Yu, Chunguang Bi, Ming Zhao

“…However, traditional maize seed classification methods mainly rely on single modal data, which limits the accuracy and robustness of classification. …”
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Practical Guidance for Using PurpleAir Particle Monitors for Indoor and Outdoor Measurements in Community Field Studies by Mingyu Wang, David Chang, Aditya Singh, Jeff Wagner, Zhong-Min Wang, Brett C. Singer, Shelly L. Miller, Nayamin Martinez, Ruben Rodriguez, Isabella Kaser, McKenna Thompson, Mohammad Heidarinejad, Brent Stephens, Gina Solomon

“…Our guidance spans three categories: (1) providing tools for handling and merging disparate data structures resulting from Wi-Fi-transmitted data and data collected on onboard microSD cards, (2) assessing performance metrics of PA-II monitors from laboratory co-location and field measurements, and (3) assessing data collection success rates of Wi-Fi data transmission and microSD card data acquisition from our study locations. …”
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Detection of Victimization Patterns and Risk of Gender Violence Through Machine Learning Algorithms by Edna Rocio Bernal-Monroy, Erika Dajanna Castañeda-Monroy, Rafael Ricardo Rentería-Ramos, Sixto Enrique Campaña-Bastidas, Jessica Barrera, Tania Maribel Palacios-Yampuezan, Olga Lucía González Gustin, Carlos Fernando Tobar-Torres, Zeneida Rocio Ceballos-Villada

“…Analysis based on health data revealed the key victimization patterns and risks associated with gender-based violence in the region. …”
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Integration of UAV Multispectral Remote Sensing and Random Forest for Full-Growth Stage Monitoring of Wheat Dynamics by Donghui Zhang, Hao Qi, Xiaorui Guo, Haifang Sun, Jianan Min, Si Li, Liang Hou, Liangjie Lv

“…A random forest model was developed to comprehensively evaluate the application potential of multispectral data in wheat growth monitoring. …”
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Machine learning for diabetic foot care: accuracy trends and emerging directions in healthcare AI by Pei-Chun Lin, Pei-Chun Lin, Tsai-Chung Li, Tsai-Chung Li, Tzu-Hsuan Huang, Ying-Lin Hsu, Wen-Chao Ho, Jia-Lang Xu, Ching-Liang Hsieh, Ching-Liang Hsieh, Ching-Liang Hsieh, Zih-En Jhang

“…Despite growing interest, a systematic overview of machine learning applications in diabetic foot research is still lacking.ObjectiveThis study aims to systematically analyze recent literature to identify key trends, focus areas, and methodological approaches in the application of machine learning to diabetic foot research.Data sourcesA comprehensive literature search was conducted across three major databases: Web of Science (WoS), IEEE Xplore, and PubMed. …”
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Enhancing needle puncture detection using high-pass filtering and diffuse reflectance by Rachael L’Orsa, Rachael L’Orsa, Rachael L’Orsa, Rachael L’Orsa, Anupam Bisht, Linhui Yu, Kartikeya Murari, Kartikeya Murari, Kartikeya Murari, Garnette R. Sutherland, Garnette R. Sutherland, David T. Westwick, Katherine J. Kuchenbecker

“…Applying this HPF + DDPD scheme to reflectance data streams yielded a peak MOP of 36.4%, and combining reflectance with force generated the best MOP overall (42.1%); these results represent 4.4-fold and 5.1-fold improvements, respectively, over the best MOP produced by the traditional application of DDPD algorithms to force signals alone.DiscussionThese results strongly support the utility of high-pass filters combined with both reflectance-only and multimodal reflectance-plus-force data-driven puncture-detection schemes for needle decompression applications.…”
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Construction and validation of a risk stratification model based on Lung-RADS® v2022 and CT features for predicting the invasive pure ground-glass pulmonary nodules in China by Qingcheng Meng, Tong Liu, Hui Peng, Pengrui Gao, Wenda Chen, Mengjia Fang, Wentao Liu, Hong Ge, Renzhi Zhang, Xuejun Chen

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Fuzzy Galaxies or Cirrus? Decomposition of Galactic Cirrus in Deep Wide-field Images by Qing Liu, Roberto Abraham, Peter G. Martin, William P. Bowman, Pieter van Dokkum, Shany Danieli, Ekta Patel, Steven R. Janssens, Zili Shen, Seery Chen, Ananthan Karunakaran, Michael A. Keim, Deborah Lokhorst, Imad Pasha, Douglas L. Welch

“…As a concrete application of the technique, we show how removal of cirrus allows low surface brightness galaxies to be identified on cirrus-rich images. …”
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Assessment of genetically modified oilseed rape MS8, RF3 and MS8 × RF3 for renewal authorisation under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐RX‐024) by EFSA Panel on Genetically Modified Organisms (GMO), Ewen Mullins, Jean Louis Bresson, Tamas Dalmay, Ian Crawford Dewhurst, Michelle M Epstein, Leslie George Firbank, Philippe Guerche, Jan Hejatko, Francisco Javier Moreno, Hanspeter Naegeli, Fabien Nogué, Nils Rostoks, Jose Juan Sánchez Serrano, Giovanni Savoini, Eve Veromann, Fabio Veronesi, Michele Ardizzone, Ana M Camargo, Antonio Fernandez, Tilemachos Goumperis, Paolo Lenzi, Aleksandra Lewandowska, Tommaso Raffaello, Franz Streissl

“…The data received in the context of this renewal application contained post‐market environmental monitoring reports, a systematic search and evaluation of literature, updated bioinformatic analyses, and additional documents or studies performed by or on behalf of the applicant. …”
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Estimation of the compressive strength of ultrahigh performance concrete using machine learning models by Rakesh Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, Chanachai Thongchom, Pijush Samui, Baboo Rai

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Aplicación del modelo "Antecedente-Comportamiento-Consecuencia" en la construcción de lumbreras y túneles Application of an "Antecedent-Behavior-Consequence" model... by Victor Jiménez Arguelles, Jesús A Bustamante, Luis A Rocha Chiu

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Application of the Precolumn Derivatization Reagent CIM-C₂-NH₂ for Labeling Carboxyl Groups in LC-MS/MS Analysis of Primary Organic Acids in Japanese Sake by Mayu Onozato, Haruna Uchida, Misaki Ono, Mikoto Koishi, Maya Oi, Maho Umino, Tatsuya Sakamoto, Takeshi Fukushima

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APPLICATION OF PERFORMANCE ASSESSMENT WITH METHOD DIFFICULTY LEVEL, DISTINGUISHING POWER, DISTRACTOR EFFECTIVENESS, AND ANOVA (Case Study: Paper Based Test (PBT) Period 2 Question... by Safira Khoirunnisa, Edi Widodo

“…The results of this study can make it easier to process data and analyze the performance of the questions with the help of the OASIS application which can be used as material for future evaluation. …”
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Aplicación del análisis de rango reescalado R/S para la predicción de genes en el genoma vegetal Rescaled range R/S analysis application for genes prediction in the plant genome by Martha Isabel Almanza Pinzón, Karina López López, Carlos Eduardo Téllez Villa

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Estudo sobre a aplicação do método de avaliação do modelo de processos de negócio do EKD A study on the application of the assessment method of business processes model of EKD... by Silvia Inês Dallavalle de Pádua

“…This research is a literature revision, with application based on secondary data. The application showed that the development of business processes model based on organizational goals facilitates comprehension by the whole staff involved in the process of modeling, and the simulation identified whether the model was correct and free of deadlocks.…”
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Do Standardised Prognostic Algorithms Reflect Local Practice? Application of EORTC Risk Tables for Non-Muscle Invasive (pTa/pT1) Bladder Cancer Recurrence and Progression in a Loca... by Rajiv Pillai, Duolao Wang, Erik K. Mayer, Paul Abel

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The Development of Arabic Learning Evaluation based on Kahoot Application in Covid Outbreak l Tatwir Taqwim Ta'lim al-Lughah al-'Arabiyyah 'ala Asas Tatbiq Kahoot Khilala Jaikhah C... by Meli Yani Yani, Koderi Koderi, Zulhanan Zulhanan, Munir Tubagus, Muhammad Sholeh Fauzan

“…The purpose of this study was to develop an evaluation of Arabic learning for SMK in the form of an objective test based on Kahoot application during the Covid-19 outbreak. This research data were obtained from the interviews and students' responses to the evaluation. …”
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Innovating in Nutrition Education: Application of Gamification and Digital Resources in High School Students (Innovando en educación nutricional: Aplicación de la gamificación y r... by Antonio-José Moreno-Guerrero, María-Elena Parra-González, Jesús López-Belmonte, Adrián Segura Robles

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