An Overview of Pavement Degradation Prediction Models by Amir Shtayat, Sara Moridpour, Berthold Best, Shahriar Rumi

“…The findings show that most previous studies preferred machine learning approaches and artificial neural networks forecasting and estimating the road pavement conditions because of their ability to deal with massive data, their higher accuracy, and them being worthwhile in solving time-series problems.…”
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U.S. farmers market attendance and experiences by Laura Witzling, Bret Shaw, Darlene Wolnik

“…Additionally, the majority of attendees reported that they ate healthier because of farmers markets and that they did nonconsumer activities at farmers markets, such as socializing and learning, underscoring that farmers markets can be a shared community experience that goes beyond consumption. …”
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JSTC: Travel Time Prediction with a Joint Spatial-Temporal Correlation Mechanism by Alfateh M. Tag Elsir, Alkilane Khaled, Pengfei Wang, Yanming Shen

“…In this paper, we introduce a unified deep learning-based framework named joint spatial-temporal correlation (JSTC) mechanism to improve the accuracy of OD travel time prediction. …”
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The Yorùbá Social Values in Ọbasá’s Poetry by Saudat Adebisi Olayide Hamzat, Hezekiah Olufemi Adeosun

“…The study suggests that Ọbasá’s poems be studied holistically, and recommends that the poems should be reprinted and made available for scholarly work in institutions of learning. …”
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ECP-IEM: Enhancing seasonal crop productivity with deep integrated models. by Ghulam Mustafa, Muhammad Ali Moazzam, Asif Nawaz, Tariq Ali, Deema Mohammed Alsekait, Ahmed Saleh Alattas, Diaa Salama AbdElminaam

“…The existing Machine Learning (ML) methods are using statistical measures as regression, correlation and chi square test for predicting crop yield, all such model's leads to low accuracy when the number of factors (variables) such as the weather and soil conditions, the wind, fertilizer quantity, and the seed quality and climate are increased. …”
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Postmortem Analysis of Decayed Online Social Communities: Cascade Pattern Analysis and Prediction by Mohammed Abufouda

“…Additionally, we predict cascade size and cascade virality using machine learning. The results of this work include a statistically significant difference of the decay patterns between the decayed and the alive subwebsites. …”
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Analysis of Concrete Dam Deformation Prediction Based on the ResNet-GRU-SGWO Model by Ning Ma, Xiubo Niu, Xunhui Chen, Wenxiu Wei, Ye Zhang, Xinyu Kang, Wen Zhong, Jing Wu

“…Concrete dam deformation prediction plays a crucial role in ensuring dam safety monitoring. Machine learning, especially recurrent neural networks, plays an important role in this, yet its predictive accuracy is not high. …”
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The media framing dataset: Analyzing news narratives in Mexico and ColombiaZenodo by Juan Cuadrado, Elizabeth Martinez, Juan Carlos Martinez-Santos, Edwin Puertas

“…Additionally, it provides a foundation for linguistic analysis and machine learning projects, enabling researchers and practitioners to explore media framing dynamics and develop innovative tools for media analysis.…”
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A multi-modal neuroimaging data release for Meige Syndrome and Facial Paralysis Research by Peng Gao, Jixin Luan, Aocai Yang, Manxi Xu, Kuan Lv, Pianpian Hu, Hongwei Yu, Zeshan Yao, Guolin Ma

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Search for new dimensions of the educational space: digital and non-digital vectors of development by T. Yu. Krotenko

“…This is important for solving the problem of preserving anthropic qualities, which is especially prominent in the course of the chaotic development of learning systems that integrate human nature and artificial intelligence.   …”
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AI driven decision support reduces antibiotic mismatches and inappropriate use in outpatient urinary tract infections by Shirley Shapiro Ben David, Roni Romano, Daniella Rahamim-Cohen, Joseph Azuri, Shira Greenfeld, Ben Gedassi, Uri Lerner

“…UTIS integrates machine learning forecasts of antibiotic resistance, patient data, and guidelines into a user-friendly order set for UTI management. …”
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The use of teaching methods by the teachers who work at high schools and the reasons of their preference (Ankara province sample) by Gökhan Acar, Haluk Koc, Mustafa Koc

“…As a result, property and size of the learning group, teacher's tendency to the method, duration, physical opportunities, financial sources and prospective behaviours should be taken into account while choosing the teacing method.Also there is a need of organizing in-service training courses in the field of teaching techniques to the teachers and of a cooperation between universities and Ministry of National Education in order to lead teachers to the use of teching methods and techniques.…”
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North Sumatera Ethnic-Based Decision-Making Model to Develop Leadership Abilities for Student Communities by Aman Simaremare, Yasaratodo Wau, Trisnawati Hutagalung, Husna P Tambunan

“…Therefore that, development ability leadership at FIP UNIMED is necessary consider diversity ethnic as part from learning strategies that can enrich perspective and skills student in face dynamics more social​ wide. …”
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Does Competence Determine Who Leads in a Dyadic Cooperative Task? A Study of Children with and without a Neurodevelopmental Disorder by Roy Vink, Fred Hasselman, Antonius H. N. Cillessen, Maarten L. Wijnants, Anna M. T. Bosman

“…Cooperative learning is an effective means for the acquisition of academic performance. …”
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Cognitive Therapys from Rumi’s Point of View by Mehmet Ak, Elif Eþen, Faik Özdengül

“…Although, it is common that people working in mental health area learn and use the techniques of authorities lived in West, our culture is considerably wealthy of thoughts and aspects that can be used in psychotherapy. …”
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Predictive Modeling for Electric Vehicle Battery State of Health: A Comprehensive Literature Review by Jianqiang Gong, Bin Xu, Fanghua Chen, Gang Zhou

“…Results highlight that data-driven methods, particularly those utilizing machine learning techniques, offer superior accuracy and adaptability but often require extensive datasets. …”
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Educational Program on Sexuality for Adolescents with Congenital Heart Disease at the William Soler Pediatric Cardiocenter by Amalia Cánovas Rodríguez

“…Special educational needs on sexuality were described as the main category, as well as those difficulties in cognitive, emotional and psychosocial aspects that people may have in their learning process about sexuality on a temporary or lasting basis. …”
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Tracing Mechanism of Sports Competition Pressure Based on Backpropagation Neural Network by Huayu Zhao, Shaonan Liu

“…Based on genetic algorithm and neural network theory, this paper proposes a method of tracing the sports competition pressure based on genetic algorithm backpropagation (BP) neural network to solve the problem that traditional neural network learning algorithm is slow and easy to fall into local minimum. …”
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Risk Assessment for Complex Systems Based on Fuzzy Cognitive Maps: A Case of the Biopharmaceutical Industry by Hadi Abbasian, Reza Yousefi-Zenouz, Abdollah Amirkhani, Masoud Shirzadeh, Akbar Abdollahiasl, Shekoufeh Nikfar, Mohammadreza Siahi-Shadabad, Abbas Kebriaeezadeh

“…We first interviewed several biopharmaceutical supply experts to learn about potential SC risks, causal relationships among FCM concepts, FCM structure, and FCM activation cycle. …”
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Drug-target binding affinity prediction based on power graph and word2vec by Jing Hu, Shuo Hu, Minghao Xia, Kangxing Zheng, Xiaolong Zhang

“…In order to shorten the drug development cycle and reduce costs, machine learning methods are gradually playing an important role in the field of drug-target interactions. …”
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