Predicting unseen chub mackerel densities through spatiotemporal machine learning: Indications of potential hyperdepletion in catch-per-unit-effort due to fishing ground contraction by Shota Kunimatsu, Hiroyuki Kurota, Soyoka Muko, Seiji Ohshimo, Takeshi Tomiyama

“…We developed a spatiotemporal machine learning approach to predict the CPUE values while taking into consideration environmental variables and changes in fish distribution. …”
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Using Machine Learning to Predict Progression in the Gastric Precancerous Process in a Population from a Developing Country Who Underwent a Gastroscopy for Dyspeptic Symptoms by Susan Thapa, Lori A. Fischbach, Robert Delongchamp, Mohammed F. Faramawi, Mohammed S. Orloff

“…Using machine learning, we developed prediction models for gastric precancerous progression in a population from a developing country with a high rate of gastric cancer who underwent gastroscopies for dyspeptic symptoms. …”
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Change in Growth Differentiation Factor 15, but Not C-Reactive Protein, Independently Predicts Major Cardiac Events in Patients with Non-ST Elevation Acute Coronary Syndrome by Alberto Dominguez-Rodriguez, Pedro Abreu-Gonzalez, Idaira F. Hernandez-Baldomero, Pablo Avanzas, Francisco Bosa-Ojeda

“…The present study shows that the change of hsCRP levels, measured after 36 months, does not predict MACE in NSTEACS-patients. However, the level of GDF-15 measured, after 36 months, was a stronger predictor of MACE, in comparison to the acute unstable phase.…”
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Retracted: Climatic, Regional Land-Use Intensity, Landscape, and Local Variables Predicting Best the Occurrence and Distribution of Bee Community Diversity in Various Farmland Habitats in Uganda by Psyche

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ConvXGB: A novel deep learning model to predict recurrence risk of early-stage cervical cancer following surgery using multiparametric MRI images by Ji Wu, Jian Li, Bo Huang, Sunbin Dong, Luyang Wu, Xiping Shen, Zhigang Zheng

“…The potential of the ConvXGB model in predicting the recurrence-free survival (RFS) and overall survival (OS) was assessed. …”
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Assessment of stress hyperglycemia ratio to predict all-cause mortality in patients with critical cerebrovascular disease: a retrospective cohort study from the MIMIC-IV database by Yuwen Chen, Jian Xu, Fan He, An’an Huang, Jie Wang, Bingchen Liu, Qucheng Wei

“…This study aims to investigate the predictive ability of SHR for in-hospital mortality in critically ill cerebrovascular disease patients and to assess its potential to enhance existing predictive models. …”
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Factors Predicting Insecticide-Treated Bednet Use among Children under Age Five in Female-Headed Households in Ghana: An Analysis of the 2019 Malaria Indicator Survey by Desmond Klu, Grace Frempong Afrifa-Anane, Michael Larbi Odame

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Correction: Liu et al. Two-Stage Multimodal Method for Predicting Intramuscular Fat in Pigs. <i>Agriculture</i> 2024, <i>14</i>, 1843 by Wenzheng Liu, Tonghai Liu, Jianxun Zhang, Fanzhen Wang

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A droplet state prediction method for inkjet printing under small sample conditions based on the two-stage TrAdaBoost.R2 algorithm by Yuanyuan Jia, Xiaoding Cheng, Wenai Song, Yaojian Zhou, Haofan Zhao

“…In particular, it achieves mean square errors of 0.00219 for droplet volume predictions and 0.0645 for velocity predictions. Similarly, the mean absolute percentage errors are 0.91% for droplet volume and 1.37% for velocity. …”
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Improving wind and power predictions via four-dimensional data assimilation in the WRF model: case study of storms in February 2022 at Belgian offshore wind farms by T. Ivanova, T. Ivanova, S. Porchetta, S. Porchetta, S. Buckingham, G. Glabeke, G. Glabeke, J. van Beeck, W. Munters

“…This study investigates the enhancement of weather simulations by assimilating local offshore light detection and ranging (lidar) and/or supervisory control and data acquisition (SCADA) data into a numerical weather prediction model while considering the presence of neighboring wind farms through wind farm parameterization. …”
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Integrated multi-omics analysis reveals clinical significance of hepatocyte nuclear factor-1β in tumor immune microenvironment, immunotherapy and prognostic prediction for colon adenocarcinoma by Fushan Gao, Wenlin Gong, Haihua He, Zhen Zhang, Hongcai Yang, Fei Shao, Yibo Gao, Jie He

“…CIBERSORT, TIME, and GSVA analyses revealed that HNF1B was associated with macrophage infiltration, immune checkpoints, and signaling pathways. Drug prediction suggested a negative relationship between HNF1B and EGFR-targeted therapies, implying potential resistance. …”
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A Computational Study on Selected Alkaloids as SARS-CoV-2 Inhibitors: PASS Prediction, Molecular Docking, ADMET Analysis, DFT, and Molecular Dynamics Simulations by Md. Golam Mortuza, Md Abul Hasan Roni, Ajoy Kumer, Suvro Biswas, Md. Abu Saleh, Shirmin Islam, Samia Sadaf, Fahmida Akther

“…In this work, 252 alkaloids were aligned using Lipinski’s rule of five and their antiviral activity was then assessed. The prediction of activity spectrum of substances (PASS) data was used to confirm the antiviral activities of 112 alkaloids. …”
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ZnO Nanoparticle-Assisted Synthesis of Thiazolo[3,2-α]Pyrimidine Analogs: Antibacterial and Antioxidant Activity, In Silico Molecular Docking, and ADMET Prediction Study by Demis Zelelew, Milkyas Endale, Yadessa Melaku, Taye B. Demissie, Japheth O. Ombito, Rajalakshmanan Eswaramoorthy

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Risk Factors for Predicting Lymph Nodes Posterior to Right Recurrent Laryngeal Nerve (LN-prRLN) Metastasis in Thyroid Papillary Carcinoma: A Meta-Analysis by Cunfu Li, Jun Xiang, Yunjun Wang

“…To evaluate the risk factors for predicting lymph nodes (LN) posterior to right recurrent laryngeal nerve metastasis in thyroid papillary carcinoma. …”
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Global, regional and national burden of neuroblastoma and other peripheral nervous system tumors, 1990 to 2021 and predictions to 2035: visualizing epidemiological characteristics based on GBD 2021 by Chaoyan Yue, Qi Zhang, Fenyong Sun, Qiuhui Pan

“…In addition, the incidence is slightly higher in men than in women. The BAPC model predicts that the global incidence, mortality, and DALYs of neuroblastoma will continue to increase until 2035. …”
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Land use land cover changes from 2003 to 2023 using Remote Sensing and GIS techniques in Niamotpur Upazila with a predictive study for the next decade by Nazmul Hossain, Jannatul Adnan, Tasmia Jahin Mim, Ayesha Binte Zohir, Iftakhar Ahmad, Ahmadullah Zaman, Mehedi Hasan, Noor Hossain

“…This study aims to examine the temporal dynamics of Niamotpur Upazila, Naogaon District, focusing on Land Use Land cover (LULC) changes over thirty years (2003,2013, and 2023) and providing predictive insights for the next decade (2024÷2033). …”
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Multi-Temporal Energy Management Strategy for Fuel Cell Ships Considering Power Source Lifespan Decay Synergy by Xingwei Zhou, Xiangguo Yang, Mengni Zhou, Lin Liu, Song Niu, Chaobin Zhou, Yufan Wang

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Essence of Internet Marketing strategies by T. D. Kolodnik

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Evaluation of cumulative rainfall and rainfall event–duration threshold based on triggering and non-triggering rainfalls: Northern Thailand case by Chinkulkijniwat Avirut, Salee Rattana, Yubonchit Somjai, La Duong Hai, Horpibulsuk Suksun, Hoy Menglim

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Developing a Label-Free Infrared Spectroscopic Analysis with Chemometrics and Computational Enhancement for Assessing Lupus Nephritis Activity by Mei-Ching Yu, Xiang-Di Huang, Chin-Wei Kuo, Kai-Fu Zhang, Ping-Chung Liang, U-Ser Jeng, Pei-Yu Huang, Frederick Wai Keung Tam, Yao-Chang Lee

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