Predicting the strengths of basalt fiber reinforced concrete mixed with fly ash using AML and Hoffman and Gardener techniques by Kennedy C. Onyelowe, Viroon Kamchoom, Shadi Hanandeh, Ahmed M. Ebid, José Luis Llamuca Llamuca, Juan Carlos Cayán Martínez, Evlin Rose, Paul Awoyera, Siva Avudaiappan

“…Conventional approaches to evaluating mechanical properties, such as compressive and splitting tensile strengths, typically require sophisticated equipment, meticulous sample preparation, and extended testing periods. …”
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In-Season Automated Mapping of Xinjiang Cotton Based on Cumulative Spectral and Phenological Characteristics by Yongsheng Huang, Yaozhong Pan, Yu Zhu, Xiufang Zhu, Xingsheng Xia, Qiong Chen, Jufang Hu, Hongyan Che, Xuechang Zheng, Lingang Wang

“…Obtaining timely, accurate, and automated data on the spatial distribution and planting area of cotton is crucial for production management and informed trade decision-making. In this regard, remote sensing technologies are important and effective means. …”
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Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach by Mihyun Lim Waugh, Tyler Mills, Nicholas Boltin, Lauren Wolf, Patti Parker, Ronnie Horner, Thomas L Wheeler II, Richard L Goodwin, Melissa A Moss

“…In addition, cytokine levels in patient blood samples incubated with sterile polypropylene mesh were measured via multiplex assay. …”
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Sleep Quality and Insomnia Prevalence Among a Saudi Population: A Descriptive Study by Senitan M, BinDhim NF, Althumiri NA

“…The sample comprised 6051 participants aged between 18 and 90 years. …”
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Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma by Shiyan Song, Wenfei Ge, Xiaochen Qi, Xiangyu Che, Qifei Wang, Guangzhen Wu

“…Methods The study included 539 ccRCC samples with clinicopathological information and associated genetic information from The Cancer Genome Atlas (TCGA) database. …”
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Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization by Senyefia Bosson-Amedenu, Emmanuel Ayitey, Francis Ayiah-Mensah, Luyton Asare

“…The model's AIC ranged from 100.41 at a 25% sample size to 384.58 at a 75% sample size, consistently surpassing the performance of the second-best Log-logistic model. …”
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Predicting Pineapple Quality from Hyperspectral Data of Plant Parts Applied to Machine Learning by Vitória Carolina Dantas Alves, Sebastião Ferreira de Lima, Dthenifer Cordeiro Santana, Rafael Ferreira Barreto, Roger Augusto da Cunha, Ana Carina da Silva Cândido Seron, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Rita de Cássia Félix Alvarez, Cid Naudi Silva Campos, Carlos Antonio da Silva Junior, Fábio Luíz Checchio Mingotte

“…Food quality detection by machine learning (ML) is more practical and sustainable as it does not require sample preparation and reagents. However, the prediction of pineapple quality by hyperspectral data applied to ML is not known. …”
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USP9X stabilizes XIAP to regulate mitotic cell death and chemoresistance in aggressive B‐cell lymphoma by Katharina Engel, Martina Rudelius, Jolanta Slawska, Laura Jacobs, Behnaz Ahangarian Abhari, Bettina Altmann, Julia Kurutz, Abirami Rathakrishnan, Vanesa Fernández‐Sáiz, Andrä Brunner, Bianca‐Sabrina Targosz, Felicia Loewecke, Christian Johannes Gloeckner, Marius Ueffing, Simone Fulda, Michael Pfreundschuh, Lorenz Trümper, Wolfram Klapper, Ulrich Keller, Philipp J Jost, Andreas Rosenwald, Christian Peschel, Florian Bassermann

“…However, it has remained unclear how cells execute cell fate decisions under conditions of SAC‐induced mitotic arrest. …”
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The future of diagnostics: cutting-edge advances in healthcare technology by Ashok Kumar Sah, Darla Srinivasa Rao, Anass M Abbas, M Chandrasekar, Mohamed Ahmed Mohamed Adam, Ajab Singh Choudhary, Ranjay Kumar Choudhary, Rabab H. Elshaikh, Pranav Kumar Prabhakar, Syrsulu Myrzagulova, Rohit Rathore, Asaad M. Babker, Devendra Prasad, Shagun Agarwal

“…Likewise, the incorporation of robotic sample handling, data analytics, and artificial intelligence has increased the efficiency and accuracy of diagnostic systems across a wide range of medical professions. …”
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Comparative evaluation of BacT/ALERT VIRTUO and BACTEC FX400 blood culture systems for the detection of bloodstream infections by Yurong Qin, Yiwen Liao, Jingfang Zhou, Weijiang Liu, Huimin Chen, Xiaoli Chen, Weisha Wang, Ni Zhang, Yunhu Zhao, Liang Wang, Bing Gu, Suling Liu

“…Specimen selection criteria were based on clinical suspicion of bloodstream infections, ensuring the inclusion of relevant and representative patient samples. These blood samples, collected from the same suspected sepsis patients, were cultured in parallel using both the BacT/ALERT VIRTUO and BACTEC FX400 systems. …”
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THE EFFECT OF COMPANY GROWTH, CAPITAL STRUCTURE, GOOD CORPORATE GOVERNANCE MECHANISM, ON FIRM VALUE WITH EARNINGS MANAGEMENT AS AN INTERVENING VARIABLE by Muhammad Ali Nawawi

“…Design: Using intentional sampling, this paper employs partial least squares (PLS) data analysis and hypothesis testing. …”
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Validity of a machine learning estimation of blood volumes during altitude training by Basile Moreillon, Bastien Krumm, Lena Mettraux, Julian Wackernell, James Spragg, Martin Faulhaber, Raphael Faiss

“…In conclusion, this study suggest that CO-rebreathing may definitely represent a gold-standard to asess the effectiveness of an altitude sojourn on increasing Hbmass while a predictive machine-learning model may allow to monitor PV shifts from a single blood sample to help decision-making regarding body fluid balance before, during and after an altitude training camp in professional cyclists. …”
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Comparison of Automated Point-of-Care Gram Stainer (PoCGS^®) and Manual Staining by Goh Ohji, Kenichiro Ohnuma, Kei Furui Ebisawa, Mari Kusuki, Shunkichi Ikegaki, Hiroaki Ozaki, Reiichi Ariizumi, Masakazu Nakajima, Makoto Taketani

“…A comparative evaluation was performed using 40 urine samples, which included both clinical and artificial specimens. …”
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An Audit of Patient Characteristics, Contributing Factors, and Outcomes of Patients Leaving against Medical Advice at Sheikh Khalifa Medical City Abu Dhabi by Shamma Salem Alhajeri, Ibrahim Atfah, Ali Bin Yahya, Salama Matar Al Neyadi, Fatema Salem Al Ameri, Nasser Ahmed, Ismail Al Ramahi, Kenneth Charles Dittrich, Hasan Qayyum

“…Background: Leave against Medical Advice (LAMA) is defined as ‘a decision to leave the hospital before the treating physician recommends discharge'. …”
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Epidemiological Profile and Risk Factors for Malaria in Rural Communities Before the Operationalization of the Singrobo–Ahouaty Dam, Southern Côte d’Ivoire by Taki Jean Deles Avenié, Kigbafori Dieudonné Silué, Négnorogo Guindo-Coulibaly, Naférima Koné, Sadikou Touré, Kouamé Laurent Valian, Kouassi Séraphin Kouadio, Alloua Marie Joelle Bédia, Boza Fulgence Déabo, Klotcholman Diabagaté, Christian Nsanzabana, Jean Tenena Coulibaly

“…This study aimed to establish baseline epidemiological data during the construction of the Singrobo–Ahouaty dam to support assessment and decision-making for short- and long-term health impacts on surrounding communities. …”
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Identifying the Dimensions and Components of a Gamification Model in the Marketing Processes for Sharing Economy Transportation Businesses by Somaye Moradi, Maysam Shafiee

“…The participants in this study were selected using purposive and snowball sampling techniques, and the required information was obtained through interviews until data saturation was achieved. …”
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Designing an entrepreneurial ecosystem model in a university with a knowledge-based approach by Nahid Mir, Amin Rahimi Kia, Mehry Daraei

“…The university plays a decisive role in the development of entrepreneurship. …”
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The value-added model of the supply chain of petrochemical industries with a sustainable development approach by ali amiri, seyed abbas heydari, vahidreza Mirabi

“…The statistical population of the research includes 25 managers and experts in the petrochemical industry, and the sampling was done as available judgment, and the interviews continued until theoretical saturation. …”
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Determinants of long‐term paramagnetic rim lesion evolution in people with multiple sclerosis by Jack A. Reeves, Alexander Bartnik, Maryam Mohebbi, Murali Ramanathan, Niels Bergsland, Dejan Jakimovski, Gregory E. Wilding, Fahad Salman, Ferdinand Schweser, Bianca Weinstock‐Guttman, David Hojnacki, Svetlana Eckert, Francesca Bagnato, Michael G. Dwyer, Robert Zivadinov

“…Understanding how PRLs relate to other known MS‐related factors, and the practical utility of PRLs in clinical trials, is crucial for informing clinical decision‐making and guiding development of novel disease‐modifying treatments (DMTs). …”
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Use of Saliva Analytes as a Predictive Model to Detect Diseases in the Pig: A Pilot Study by Eva Llamas-Amor, Alba Ortín-Bustillo, María José López-Martínez, Alberto Muñoz-Prieto, Edgar García Manzanilla, Julián Arense, Aida Miralles-Chorro, Pablo Fuentes, Silvia Martínez-Subiela, Antonio González-Bulnes, Elena Goyena, Andrea Martínez-Martínez, José Joaquín Cerón, Fernando Tecles

“…Background/Objectives: Saliva is gaining importance as a diagnostic sample in pigs. The aim of this research was to evaluate a panel of salivary analytes in three porcine diseases and establish predictive models to detect them. …”
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