A Rectal Cancer Surgery Dataset: Use of artificial intelligence to aid automation of error identification by Walaa Ghamrawi, Nathan Curtis, Jialang Xu, Matt Boal, Evangelos Mazomenos, Eddie Edwards, Danail Stoyanov, Nader Francis

“…This dataset can inform machine learning to assist progress toward a fully automated, objective assessment of surgical skills.…”
Get full text

Discovering Travel Spatiotemporal Pattern Based on Sequential Events Similarity by Juanjuan Chen, Liying Huang, Chengliang Wang, Nijia Zheng

“…Second, by applying the user preference learning method based on scenic type, we learn from the user’s city travel historical data and compute the personalized travel preference. …”
Get full text

Sugammadex-Enhanced Neuronal Apoptosis following Neonatal Sevoflurane Exposure in Mice by Maiko Satomoto, Zhongliang Sun, Yushi U. Adachi, Koshi Makita

“…In rodents, neonatal sevoflurane exposure induces neonatal apoptosis in the brain and results in learning deficits. Sugammadex is a new selective neuromuscular blockade (NMB) binding agent that anesthesiologists can use to achieve immediate reversal of an NMB with few side effects. …”
Get full text

Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection within Fruit Juice Classification by C. Fernandez-Lozano, C. Canto, M. Gestal, J. M. Andrade-Garda, J. R. Rabuñal, J. Dorado, A. Pazos

“…Given the background of the use of Neural Networks in problems of apple juice classification, this paper aim at implementing a newly developed method in the field of machine learning: the Support Vector Machines (SVM). Therefore, a hybrid model that combines genetic algorithms and support vector machines is suggested in such a way that, when using SVM as a fitness function of the Genetic Algorithm (GA), the most representative variables for a specific classification problem can be selected.…”
Get full text

Peptidomic analysis of whey protein hydrolysates and prediction of their antioxidant peptides by Jesus Morales García, Chibuike C. Udenigwe, Jorge Duitama, Andrés Fernando González Barrios

“…We also developed an ensemble machine learning predictor to classify peptides obtained from whey hydrolysis. …”
Get full text

Explizite und implizite Regeln der modalen Solo-Improvisation in iranischer Musik. Eine vergleichende Analyse by Davoud Tavousi

“…The text is divided into three main sections: (1) “Teaching and learning Iranian music improvisation,” (2) “The interrelationship between Persian language and Iranian music,” (3) “The derivation of theoretical rules for Iranian modal solo improvisation through comparative analysis.” …”
Get full text

Improving Diabetes Prediction by Selecting Optimal K and Distance Measures in KNN Classifier by Emad Majeed Hameed, Hardik Joshi

“…This paper discusses diabetes prediction by using the K-Nearest Neighbors (KNN) classifier, which is a widely used algorithm in machine learning. Most studies only dealt with investigating the optimal value of k in the KNN algorithm and did not address the best method to measure distance alone or together with the optimal value of k to improve the efficiency of diabetes prediction. …”
Get full text

A Multi-Index Generative Adversarial Network for Tool Wear Detection with Imbalanced Data by Guokai Zhang, Haoping Xiao, Jingwen Jiang, Qinyuan Liu, Yimo Liu, Liying Wang

“…Experimental results show that our method obtains 97% accuracy in tool wear detection based on imbalanced data without manual feature extraction, which outperforms traditional machine learning methods.…”
Get full text

Effective School Leadership for Supporting Students’ Mental Health: Findings from a Narrative Literature Review by Brian P. Daly, Annie Resnikoff, Shannon Litke

“…Research has also demonstrated that effective school leaders exhibit behaviors aligned with promoting the core issues of teaching, learning, and school improvement. Less well-known is what science says about the effectiveness of professional development and leadership preparation programs for developing the competencies needed for addressing the diverse mental health needs of students. …”
Get full text

End-to-End Semantic Leaf Segmentation Framework for Plants Disease Classification by Khalil Khan, Rehan Ullah Khan, Waleed Albattah, Ali Mustafa Qamar

“…Plant disease detection and classification is a much-developed research area due to enormous development in machine learning (ML). Over the last ten years, computer vision researchers proposed different algorithms for plant disease identification using ML. …”
Get full text

Optimizing K-Means Algorithm Using the Purity Method for Clustering Oil Palm Producing Regions in North Aceh by Novia Hasdyna, Rozzi Kesuma Dinata, Balqis Yafis

“… The K-Means algorithm is a fundamental tool in machine learning, widely utilized for data clustering tasks. …”
Get full text

Adapting a consensus process for survivors of domestic abuse and child maltreatment: a brief report about adopting a trauma-informed approach in multistakeholder workshops by Ruth Gilbert, Gene Feder, Eszter Szilassy, Katherine Cowan, Emma Howarth, Karen Johns, Alison Gregory, Ursula Lindenberg, Claire Powell

“…There is, however, limited advice about how to safely involve survivors of violence and abuse in consensus-based studies.Methods/results This commentary provides an overview of the adaptations made to a process of core outcome set development, to ensure that survivors of violence and abuse felt safe, heard and supported, and able to contribute in a meaningful way.Conclusions We advocate for an iterative process of listening to and learning from survivors, as well as buy-in from funders to ensure research studies are appropriately resourced and involve sufficient planning time.…”
Get full text

Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification by Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, Habib Zaidi

“…The first methodology is a competitive neural network (CNN), whereas the second one is based on learning vector quantisation neural network (LVQNN). …”
Get full text

Robust fully distributed file caching for delay-tolerant networks: A reward-based incentive mechanism by Sidi Ahmed Ezzahidi, Essaid Sabir, Sara Koulali, El-Houssine Bouyakhf

“…Finally, we validate our proposal through extensive numerical examples and many learning simulations and draw some conclusions and insightful remarks.…”
Get full text

Data-Driven Approaches for Diagnosis of Incipient Faults in Cutting Arms of the Roadheader by Qiang Liu, Songyong Liu, Qianjin Dai, Xiao Yu, Daoxiang Teng, Ming Wei

“…In this study, four machine learning tools (the back-propagation neural network based on genetic algorithm optimization, the naive Bayes based on genetic algorithm optimization, the support vector machines based on particle swarm optimization, and the support vector machines based on dynamic cuckoo) are applied to address the challenge in the IFDI of cutting arms. …”
Get full text

Agent-Based Modeling and Simulation for the Bus-Corridor Problem in a Many-to-One Mass Transit System by Qinmu Xie, Shoufeng Ma, Ning Jia, Yang Gao

“…By using multiagent modeling and the Bush-Mosteller reinforcement learning model, we simulated the day-to-day evolution of commuters’ departure time choice on a many-to-one mass transit system during the morning peak period. …”
Get full text

Adaptation of Research Project Requirement at Pharmacy Undergraduate Studies: Students’ Perception, Attitude, and Experiences by Najia Rahim, Kiran Rafiq, Shagufta Nesar, Sadaf Naeem, Fakhsheena Anjum, Muhammad Azhar Mughal

“…Students were found to have their projects a worthwhile learning opportunity (94.2%). Students’ motivation to execute research project stems from mandatory curriculum courses, improving clinical or hospital pharmacist training and fulfilling research skills (90%). …”
Get full text

Assessment of Early Cognitive Impairment in Patients with Clinically Isolated Syndromes and Multiple Sclerosis by Leyla Baysal Kıraç, Özgül Ekmekçi, Nur Yüceyar, Ayşe Sağduyu Kocaman

“…Results. 19.6% of early MS/CIS group failed at 4 and more tests and had significant cognitive impairment focused on attention, executive functions, memory, and learning. No significant relationship was found between cognitive impairment and disability and fatigue scores. …”
Get full text

Organizational Culture and Innovation: A Conceptual Framework by Mohd Yunus Majid, Kamal Rizwan Mahadzir, Faridah Maarof

“…The organizational culture studied in this research centered on the Denison Organizational Culture Model, which demonstrates the influence of the cultural traits of Involvement (Empowerment, Team Orientation, and Capability Development) and Adaptability (Creating Change, Customer Focus, and Organizational Learning) towards Innovation. This causal study employs quantitative methodology which gathers primary data collected from more questionnaire surveys conducted among executives using mail and electronic survey system. …”
Get full text

The effectiveness of virtual journal clubs on evidence-based practices application by Beth Elenko

“…Engaging students in VJCs provides them with opportunities to explore and apply learned skills independently and collaboratively, aligning with contemporary learning preferences.   …”
Get full text