Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modeling by Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick K. Ronoh, Stephen E. Moore

“…HyMoLAP-WGRU model shows the best predictive performance, especially for low and high discharges. …”
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LEVEL OF PROCALCITONIN PLASMA AS AN EARLY SEPSIS BIOMARKER IN POLYTRAUMA PATIENTS IN DR HASAN SADIKIN GENERAL HOSPITAL BANDUNG by Ricky Wibowo, Hermawan Nagar Rasyid, Darmadji Ismono

“…This study determined the cut of point, sensitivity, spesificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), and accuracy to diagnosis sepsis. …”
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eNSMBL-PASD: Spearheading early autism spectrum disorder detection through advanced genomic computational frameworks utilizing ensemble learning models by Ayesha Karim, Nashwan Alromema, Sharaf J Malebary, Faisal Binzagr, Amir Ahmed, Yaser Daanial Khan

“…The objective of this study is to develop a computational model that predicts ASD driver genes in the early stages using genomic data, aiming to enhance early diagnosis and intervention. …”
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Construction and application of a physically-based constitutive model for superplastic deformation of near-α TNW700 titanium alloy by Lixia Ma, Dingyong He, Bangjian Yang, Xiuquan Han, Jichun Zhang, Weidong Li

“…This study aims to develop a high-precision, physically-based unified viscoplastic constitutive model to predict superplastic deformation and microstructure evolution of TNW700 alloy conical components under complex loading. …”
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Parental Verbal Abuse, Substance Use and Self-Esteem as Predictors of Mental Health among In-School Adolescents in Lagos, Nigeria by Emmanuel Uye, Josephine Omotuwa, Esohe Ehondor

“…Also, parental verbal abuse (β = -.20, p < .05) and self-esteem (β = -.20, p < .05) independently predicted mental health among study participants. However, substance use (β = -.11, p >.05) did not independently predict mental health among study participants. …”
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The Role of Metacognitive Processes and Emotional Schemas in Obsessive Compulsive Disorder by Sevinc ULUSOY, Kaasim Fatih YAVUZ, Tugba KARA, Mehmet Emrah KARADERE

“…Also according to multiple linear regression analysis; its determined that RTSQ total scores predict YBOCS obsession, YBOCS compulsion and YBOCS total scores, TAFS Moral sub-scale total scores predict only YBOCS obsession total scores. …”
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Prevalence of Sleep Disordered Breathing in a Population of Canadian Grainworkers by Sean P Keenan, Kathleen A Ferguson, Moira Chan-Yeung, John A Fleetham

“…To determine the clinical features that are predictive of SDB and the validity of self-reported snoring.…”
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Assessment of Tissue Eosinophilic Infiltration in Invasive Mammary Carcinoma by Farah Falah Hasan, Mohammed Haider Fadhil, Zainab Khalid Almukhtar

“…The presence of tissue eosinophilic infiltration can predict HER2/NEU negativity in breast cancer.…”
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Genomic Analysis of a New Estrogen-Degrading Bacterial Strain, Acinetobacter sp. DSSKY-A-001 by Qing Qiu, Ping Wang, Hui Kang, Yu Wang, Kejian Tian, Hongliang Huo

“…The results of the validation were consistent with the predictions that these three enzymes were present and expressed in Acinetobacter DSSKY-A-001. …”
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Consistent individual positions within roosts in Spix’s disc-winged bats by Giacomini, Giada, Chaves-Ramírez, Silvia, Hernández-Pinsón, H. Andrés, Barrantes, José Pablo, Chaverri, Gloriana

“…Individuals within both moving and stationary groups arrange themselves in a predictable manner; for example, some individuals are consistently found at the front of the group or in the periphery and others in the center. …”
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Microstructure effect of mechanical and cracking behaviors on brittle rocks using image-based fast Fourier transform method by Mingyao Li, Lei Peng, Dejun Liu, Jianping Zuo

“…This phenomenon is also predicted by the proposed numerical method. The results indicate that the proposed numerical method provides an effective approach for analyzing, understanding and predicting the nonlinear mechanical and cracking behaviors of brittle rocks by taking into account the actual microstructure characteristics.…”
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Host-microbe multi-omics and succinotype profiling have prognostic value for future relapse in patients with inflammatory bowel disease by Jill O’Sullivan, Shriram Patel, Gabriel E. Leventhal, Rachel S. Fitzgerald, Emilio J. Laserna-Mendieta, Chloe E. Huseyin, Nina Konstantinidou, Erica Rutherford, Aonghus Lavelle, Karim Dabbagh, Todd Z. DeSantis, Fergus Shanahan, Andriy Temko, Shoko Iwai, Marcus J. Claesson

“…Our multi-omics machine learning approach was also able to predict relapse when combining features from the microbiome and human host. …”
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Cognitive Functions and Cognitive Reserve in Relation to Blood Pressure Components in a Population-Based Cohort Aged 53 to 94 Years by Nunzia Giordano, Valérie Tikhonoff, Paolo Palatini, Anna Bascelli, Giovanni Boschetti, Fabia De Lazzari, Carla Grasselli, Bortolo Martini, Sandro Caffi, Antonio Piccoli, Alberto Mazza, Patrizia Bisiacchi, Edoardo Casiglia

“…Higher diastolic BP, although insufficient to impair cognition, strengthens this association. CRI is predicted by higher systolic BP associated to lower diastolic BP.…”
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Whole exome sequencing identifies ABHD14A and MRNIP as novel candidate genes for developmental language disorder by Amal Bouzid, Malek Belcadhi, Amal Souissi, Meryam Chelly, Fakher Frikha, Hela Gargouri, Crystel Bonnet, Fida Jebali, Salma Loukil, Christine Petit, Saber Masmoudi, Rifat Hamoudi, Mariem Ben Said

“…Biological functions and interconnections analyses predicted the potential roles of ABHD14A and MRNIP in neuronal development pathways. …”
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Calculated Tumor Volume Is an Independent Predictor of Biochemical Recurrence in Patients Who Underwent Retropubic Radical Prostatectomy by Nobumichi Tanaka, Kiyohide Fujimoto, Akihide Hirayama, Yasushi Nakai, Yoshitomo Chihara, Satoshi Anai, Atsushi Tomioka, Keiji Shimada, Noboru Konishi, Yoshihiko Hirao

“…The purpose of this study is to investigate whether the clinicopathological biopsy findings can predict the oncological outcome in patients who undergo radical prostatectomy. …”
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Operation time as a prognostic indicator on postoperative complications following percutaneous nephrolithotomy by Alireza Pakdel, Abdolreza Mohammadi, Amirreza Shamshirgaran, Ehsan Zemanati Yar, Leila Zareian Baghdadabad, Farshid Alaeddini, Roghayeh Koohi Ortakand, Leonardo Oliveira Reis, Seyed Reza Hosseini, Seyed Mohammad Kazem Aghamir

“…A cut-off of 65 min for operation time showed 96.8% specificity for predicting complications. Additionally, 47.8% of patients were systemic inflammatory response syndrome positive postprocedure, and operation times were not shown to be predictive of systemic inflammatory response syndrome. …”
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Beneficial arthropods threatened by synthetic agricultural pesticides around the southeast slopes of Mount Cameroon by Daniel Brice Nkontcheu Kenko, Agathe Lambou Fotio, Kenfack Donhachi Aimerance, Derick Atemlefac Acha, Miranda Egbe Awo, Eric Bertrand Fokam

“…Fifteen (15) active ingredients were predicted by the model to pose a certain in-field risk to NTAs with lambda-cyhalothrin at the top position (AECNTA = 0.0034 g a.i.…”
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Locomotor performance parameters as predictors of high-performing male soccer teams. A multiple-season study on professional soccer by Piotr Makar, Rabiu Muazu Musa, Rui Miguel Silva, Jarosław Muracki, Robert Trybulski, Emre Altundağ, Murat Altaca, Wacław Kuczmik, Rafał Studnicki, Zeki Akyildiz

“…Subsequently, regression models were employed to predict the total points earned by all teams over the three seasons. …”
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Characterization of the Collagen Extraction Manufacturing Process Using Markov Chains and Artificial Neural Networks by Rosa Trasvina-Osorio, Sergio Alonso-Romero, Juan de Anda-Suarez, Valentin Calzada-Ledesma, Javier Yanez-Mendiola, Luis Fernando Villanueva-Jimenez, Erick Rojas-Mancera

“…In the second stage, the predictive model MCMC-ANN presented a mean square error (MSE) of 0.00171, and a standard deviation (SD) of 0.00133. …”
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Preoperative CT lymph node size as a predictor of nodal metastasis in resectable Colon cancer: a retrospective study of 694 patients by Tetsuro Kawazoe, Ryota Nakanishi, Koji Ando, Yoko Zaitsu, Kensuke Kudou, Yuichiro Nakashima, Eiji Oki, Tomoharu Yoshizumi

“…Notably, the optimal cutoff values for predicting lymph node metastasis vary depending on the specific region within the colon.…”
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