Estimation of Ultimate Bearing Capacity in Rock-Socketed Piles Using Optimized Machine Learning Approaches by Ali Hassan, Hamza Rashid

“…This article introduces an innovative methodology for the precise prediction of Qu. This approach leverages the Naive Bayes (NB) algorithm to construct exact and comprehensive predictive models. …”
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An approximate likelihood method reveals ancient gene flow between human, chimpanzee and gorilla by Galtier, Nicolas

“…This is most often pursued via the so-called ABBA-BABA type of method, which relies on a prediction of symmetry of gene tree discordance made by the incomplete lineage sorting hypothesis. …”
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Isokinetic Dynamometry for External and Internal Rotation Shoulder Strength in Youth Athletes: A Scoping Review by Ian Leahy, Erin Florkiewicz, Mary P. Shotwell

“…The dynamic assessment provided by ID may enhance upper extremity evaluation, aiding in the prediction of injury risk and the determination of return-to-sport criteria for overhead athletes…”
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Uncovering the genetic basis of milk production traits in Mexican Holstein cattle based on individual markers and genomic windows. by José G Cortes-Hernández, Adriana García-Ruiz, Francisco Peñagaricano, Hugo H Montaldo, Felipe J Ruiz-López

“…Genomic scans via the single-step genomic best linear unbiased prediction method were performed using BLUPF90 software. …”
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Study on hot deformation behavior of 9Cr18Mo stainles bearing steel by ZHANG Yu, WANG Jianguo, LIU Dong, LIANG Zhirui, ZHAO Jiahang

“…A constitutive equation with the strain compensation considered was developed and the prediction value is in good agreement with the experimental value. …”
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Analysis and optimization of energy harvesting characteristics of converter valve magnetic field self-powered harvester by WANG Wei, SU Wenbo, XU Chenjin, WU Yuwei, SHI Yuchen

“…Temperature monitoring of converter valves can aid in fault prediction, and it is one of the key technologies to ensure the safe and stable operation of converter stations. …”
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Urinary bacteriophage cooperation with bacterial pathogens during human urinary tract infections supports lysogenic phage therapy by Mahmood Almosuli, Anna Kirtava, Archil Chkhotua, Lia Tsveniashvili, Nina Chanishvili, Sumaiya Safia Irfan, Emily Ng, Hope McIntyre, Adam J. Hockenberry, Robyn P. Araujo, Weidong Zhou, Ngoc Vuong, Barbara Birkaya, Lance Liotta, Alessandra Luchini

“…Using human urine, model organisms, mass spectrometry, gene expression analysis, and the phage phenotype prediction model BACPHLIP, the results corroborated our hypotheses at the functional protein and gene levels. …”
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Design optimization of pangolin inspired composites for enhanced energy absorption by Iman Karami Fath, Abbas Niknejad, Hadi Zare-Zardini

“…The Taguchi method set the optimal values for the parameter levels for the prediction of TAE of 11.2431 J and SAE of 2.3677 J/g, while the actual experimental result brought the percentage of error to 5.76% for TAE and 3.94% for SAE. …”
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A Combined Model for Simulating the Spatial Dynamics of Epidemic Spread: Integrating Stochastic Compartmentalization and Cellular Automata Approach by Murad Bashabsheh

“…They consist of rather separate cells in one or multi-dimensional space, where each cell has a constant number of neighbors. Since CA can predict the geographic distribution of some epidemics through proper mathematical models, they have the potential of improving epidemic prediction and preventive measures in public health management. …”
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Comparison of molecular analysis results determined by next-generation sequencing to immunohistochemical indicators and clinicopathological parameters in prostate adenocarcinomas by Merve Çırak Balta, İbrahim Halil Erdoğdu, Esin Oktay, Nil Çulhac

“…Conclusion: Regarding prognosis prediction and treatment, identifying the molecular changes in genes playing roles in prostate cancer with next-generation sequencing is very important.…”
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Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease. by Mabirizi, Vicent, Kawuma, Simon, Kyarisiima, Addah, Bamutura, David, Atwiine, Barnabas, Nanjebe, Deborah, Oyesigye, Adolf Mukama

“…This is evidenced by some models and algorithms with ≥90% prediction accuracy. From the literature, most of the proposed methods are trained and tested on pre-trained deep learning models like VGG16, VGG19, ResNet, Inception_V3, and ReNet. …”
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Usage of Optimized Least Square SVR to Volume Expansion Estimation of Cement Paste Including Fly Ash and Mgo Expansive Additive by Mazharul Islam, Sadia Afrin

“…Accurate prediction models allow for better control of thermal stresses, reducing the risk of thermal cracking and extending the structure's lifespan.…”
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Combinatorial Price Offer for a Wind Turbine with Flexible Load Considering the Uncertainty to Increase the Benefit of Wind Turbine by Behnam Sobhani, Sadegh Afzal

“…The price and wind prediction will be conducted using one of the previous methods, and the primary purpose here is to increase the system revenue. …”
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Study of V-notch fatigue strength based on affected depth approach by Youssef, Marwa, Nasr, Anouar

“…In the first part of the paper, Fatigue Limit diagram is simulated by assessing the fatigue limits to validate the AD model for notched components. The prediction of the fatigue strength is consistent with the experimental investigation taken from the literature, and it provides interesting results. …”
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Single-cell RNA sequencing reveals tumor heterogeneity in small cell neuroendocrine cervical carcinoma by Xuesong Xiang, Xiang Tao, Keqin Hua, Hua Jiang, Jingxin Ding

“…Overall, these findings provide clues for tumorigenesis, precision treatments and prognostic prediction in SCNECC.…”
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Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients. by Yulin Lai, Peiyuan Huang

“…Additionally, we developed a prediction nomogram with an area under the curve of 0.75 to assess the likelihood of developing SPMs.…”
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An investigation of hydraulic fracturing initiation and location of hydraulic fracture in preforated oil shale formations by Lianghao Zhai, Yang Xun, Huanan Liu, Bo Qi, Jinghua Wu, Yafei Wang, Chen Chen

“…The findings presented in this paper are anticipated to enhance the prediction of hydraulic fracture initiation pressures and locations in perforation fracturing.…”
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Field Observations during the Eleventh Microwave Water and Energy Balance Experiment (MicroWEX-11): from April 25, 2012, through December 6, 2012 by Tara Bongiovanni, Pang-Wei Liu, Karthik Nagarajan, Daniel Preston, Patrick Rush, Tim H.M. van Emmerik, Robert Terwilleger, Alejandro Monsivais-Huertero, Jasmeet Judge, Susan Steele-Dunne, Roger De Roo, Ruzbeh Akbar, Ella Baar, Max Wallace, Anthony England

“… This new report from UF/IFAS researchers provides another set of observation data that can be used to develop better models for accurate prediction of weather and near-term climate. It describes the observations conducted during the MicroWEX-11, a season-long experiment incorporating active and passive microwave observations for bare soil, elephant grass, and sweet corn using a variety of sensors to understand land–atmosphere interactions and their effect on observed microwave signatures. …”
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Distinct vaginal microbiome and metabolome profiles in women with preterm delivery following cervical cerclage by Jun Zhang, Li Li, Mengjun Zhang, Jiaoning Fang, Zhimin Xu, Yijing Zheng, Zhi Lin, Mian Pan

“…These results elaborated that distinct vaginal microbiome and metabolome profiles in women with preterm delivery following cervical cerclage provide valuable information for establishing the prediction models for PTB.…”
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Study on the Shock Wave Characteristics of Spherical and Cylindrical Explosives in Near-field Underwater Explosion by J. Yu, X. P. Zhang, J. Wang, Y. Hao, H. B. Mao

“…Therefore, precise prediction of shockwave loading characteristics for various charge shapes during underwater explosions is critical. …”
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