Machine learning analysis of the relationships between traumatic childbirth experience with positive and negative fertility motivations in Iran in a community-based sample by Mahdieh Arian, Talat Khadivzadeh, Mahla Shafeei, Sedigheh Abdollahpour

“…Elastic network modeling predicts using RMSE, MAE and R-squared that religious beliefs, married duration, and women’s education have the greatest increasing effect on positive fertility motivation. …”
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Network Embedding-Aware Point-of-Interest Recommendation in Location-Based Social Networks by Lei Guo, Haoran Jiang, Xiyu Liu, Changming Xing

“…As this method consists of an embedding model and a collaborative filtering model, when the training data are absent, the predictions will mainly be generated by the extracted embeddings. …”
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Unveiling Current and Future Trends in the Implementation of Teaching Games for Understanding in Primary School: A Bibliometric Analysis by Irfan Oktavianus, Uray Gustian, Andika Triansyah

“…A science mapping approach was applied to identify emerging research trends and predict the future of TGfU implementation. Results. …”
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Preliminary screening of new biomarkers for sepsis using bioinformatics and experimental validation. by Hao Wang, Wei Xiong, Wu Zhong, Yingchun Hu

“…<h4>Methods</h4>Raw sepsis data were downloaded from the Chinese National Genebank (CNGBdb) and screened for differentially expressed RNAs. Key genes with predictive value were identified through weighted correlation network analysis (WGCNA) and meta-analysis and survival analysis using multiple public databases. …”
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ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest by Andrey Ageev, Andrei Konstantinov, Lev Utkin

“…In this study, we present a novel model called ADA-NAF (Anomaly Detection Autoencoder with the Neural Attention Forest) for semi-supervised anomaly detection that uniquely integrates the Neural Attention Forest (NAF) architecture which has been developed to combine a random forest classifier with a neural network computing attention weights to aggregate decision tree predictions. The key idea behind ADA-NAF is the incorporation of NAF into an autoencoder structure, where it implements functions of a compressor as well as a reconstructor of input vectors. …”
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RATIONAL DRUG DESIGN OF POTENT V600E-BRAF KINASE INHIBITORS THROUGH MOLECULAR DOCKING SIMULATION by Bello Abdullahi Umar, Adamu Uzairu, Gideion Adamu Shallangwa, Sani Uba

“…In this research, interactions of QAP derivatives with V600E-BRAF kinase were modeled and predicted using molecular docking simulation approach with the help of Autodock vina version 4.0 of Pyrx software. …”
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AgNOR Count in Resting Cells (Resting NOR) Is a New Prognostic Marker in Invasive Bladder Tumor by Mitsuro Tomobe, Toru Shimazui, Katsunori Uchida, Hideyuki Akaza

“…Conclusions: Resting NOR had a predictive value in the prognosis of patients with invasive bladder tumor. …”
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High-Serum Angiopoietin-Like Protein 3 Levels Associated with Cardiovascular Outcome in Patients with Coronary Artery Disease by Ming-Chun Chen, Bang-Gee Hsu, Chung-Jen Lee, Ji-Hung Wang

“…This study aims to investigate whether ANGPTL3 levels can be used to predict the future occurrence of major adverse cardiovascular events (MACEs) in patients with CAD. …”
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Analyzing the process of physical development of the city and presenting its appropriate strategic model, case study: Ahvaz city by ali shamai, seyed hossein vahdi nejad, soghera azarshab, Moslem Ghasemi

“…The results showed that at the level of predictive models of agricultural land with weights of 0.101 and 0.118, the most important factor has been changed in the process of physical expansion of the Ahvaz city. …”
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Unexpected scarcity of ANME archaea in hydrocarbon seeps within Monterey Bay by A. C. Semler, A. E. Dekas

“…<p>Marine hydrocarbon seeps typically harbor a relatively predictable microbiome, including anaerobic methanotrophic (ANME) archaea. …”
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The effect of coagulation traits on the risk of retinal vein occlusion: a mendelian randomization study by Chaoyi Yuan, Chao He, Ling Zuo, Baoxing Liu, Hui Qi

“…The research suggests that genetically predicted plasma levels of FIII, FVII, MPV, and PCT may be potentially causative for reducing the risk of RVO, and that levels of FVIII may be potentially causative for increasing the risk of RVO. …”
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Ultrasound-assisted extraction of polyphenols from Lonicera japonica leaves and their α-glucosidase inhibition by Gang Li, Chunming Bao, Hao Zhang, Lu Bai

“…Under these conditions, the yield of polyphenols from honeysuckle leaves was 9.16 ± 0.19%, which closely aligns with the predicted value of 9.18%. The total phenolic content of the polyphenol extracts was 20.6 ± 0.67%, with chlorogenic acid and luteoloside contents measuring 5.65 ± 0.40% and 2.51 ± 0.14%, respectively. …”
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Socioeconomic Inequity in Access to Medical and Long-Term Care Among Older People by Shohei Okamoto, Atsuhiro Yamada, Erika Kobayashi, Jersey Liang

“…Public LTC use demonstrated pro-higher education and pro-rich distribution, whereas the gaps decreased for need-predicted use. Based on the CI estimates, no explicit inequality was found for forgone medical care. …”
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Socio-psychological diagnostics and forecasting protest behavior of youth in the digital environment by R. V. Len’kov, O. A. Kolosova, S. V. Kovalyova

“…To get answers to questions about the political and economic consequences awaiting our country after the end of the coronavirus pandemic, as well as about the essence of the predicted threats, the authors plan the study on a more representative sample.…”
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Test-Retest Reliability and Physiological Responses Associated with the Steep Ramp Anaerobic Test in Patients with COPD by Robyn L. Chura, Darcy D. Marciniuk, Ron Clemens, Scotty J. Butcher

“…We therefore, assessed test-retest reliability of the SRAT and the physiological characteristics associated with the test in patients with COPD. 11 COPD patients (mean FEV1 43% predicted) performed a cardiopulmonary exercise test (CPET) on Day 1, and an SRAT and a 30-second Wingate anaerobic test (WAT) on each of Days 2 and 3. …”
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Quantifying and Mapping the Impact of Construction Land Expansion on Cultivated Land Fragmentation—A Case Study of Fuqing City, China by Xiaoran Yang, Xiping Zheng, Xinyang Yu

“…The findings in this study can be used to develop models to predict future patterns of cultivated and construction land to provide suggestions for landscape planning.…”
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Can a theory-based intervention lead primiparous women to decide to have a normal vaginal delivery? A randomized controlled trial by Rashin Pourashraf, Masoumeh Abbasi-Shavazi, Mahboubeh Valiani, Sara Jambarsang, Hossein Ali Sadeghian

“…Conclusion: Reconstructing childbirth preparation classes based on TPB improved the intention and other predictive structures of TPB in the intervention group, but the final behavior of the two groups regarding the type of delivery was the same. …”
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Identifying environmental factors affecting students' bullying in school: mixed analysis approach by Majid Dadashzadeh, Ali Eghbali, Shahla Khodakarimi

“…Analysis showed that the determined factors, directly and indirectly, are able to predict bullying in school and explain 70.9% of its variance. …”
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THE IMPLICATIONS OF CLIMATE CHANGE ON STAPLE CROPS PRODUCTION IN EKPOMA, EDO STATE, NIGERIA by ILENRE ABRAHAM EHIZOJIE

“…The results reveal the causes of climate change in Ekpoma, the staple crops produced in Ekpoma at present, the major evidence of climate change having implications on staple crops production in Ekpoma, the implications of climate change on staple crops production in Ekpoma, Nigeriaand the adaptation strategies that have been used to mitigate its implications on staple crops production.Arising from the above findings, the following recommendations are made which include: effective and regular training and retraining of staple crops farmers on the knowledge of climate change, climate change related- hazards, the place of staple crops in Ekpoma, climatic conditions should be monitored to help predict potential climate change related hazards and how to circumvent them, practicing climate-smart agriculture which includes incorporating climate-hazard resistant crops and improving cultural practices, sustainable practices to manage diseases without harming the environment. governments at all levelsshould as a matter of urgency promulgate laws on the granting of soft loans, climate change related-hazards and diseases resistant species of staple crops and other inputs to staple crops farmers annually to encourage them.This paper is therefore concluded by advising the governments at all levels to effect the recommendations made by the researcher. …”
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Drivers’ Yielding Behavior in Different Pedestrian Crossing Configurations: A Field Survey by Francesco Bella, Chiara Ferrante

“…Data were used to study the driver yielding behavior, to analyze how it is affected by vehicle dynamic constraints, and to identify the significant explanatory variables of a logistic regression model for predicting the drivers’ likelihood of yielding the pedestrian on the different crossing configurations. …”
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