More than Just Pneumonia: Acute Pulmonary Embolism in Two Middle-Aged Patients with COVID-19 by Jahinover Mazo, Sukhdev Singh, Zohaib Khan, Allison Foster, Ecaterina Komarnitsky, Abhiram Nagaraj, Soham Patel, Vinaya Kikkeri

“…Although severe pneumonia and respiratory compromise have remained the predominant complications of coronavirus disease 19, we are now learning this virus is much more varied in its presentation. …”
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A Comprehensive Methodological Review of Major Developments in Bioinformatics Pipelines for Transcriptomic Data Analysis by Awais ALi, Syed Luqman Ali, Abdelkarem Omneya

“…A novel approach is also introduced: an ensemble learning-based deconvolution method combining multiple techniques to improve accuracy, mitigate data contamination, and reduce errors. …”
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Prediction Method of TBM Tunneling Parameters Based on Bi-GRU-ATT Model by Qinglong Zhang, Boyu Yang, Yanwen Zhu, Chen Guo, Chong Jiao, Anmin Cai

“…The results show that the prediction method of TBM tunneling parameters based on Bi-GRU-ATT model proposed in this paper has stronger learning and prediction capabilities. This prediction method provides a more feasible auxiliary intelligent decision-making method for TBM aided intelligent construction.…”
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An Artificial-Intelligence- and Telemedicine-Based Screening Tool to Identify Glaucoma Suspects from Color Fundus Imaging by Alauddin Bhuiyan, Arun Govindaiah, R. Theodore Smith

“…Then, using CDR below 0.5 (nonsuspect) and CDR above 0.5 (glaucoma suspect), deep-learning architectures were used to train and test a binary classifier system. …”
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Evaluating EFL textbooks for vocational high schools in Indonesia: A corpus-informed and lexile-based model by Diana Omega Santi, Ignatius Tri Endarto

“…Even though textbooks play an integral role in EFL teaching and learning processes, evaluation of English textbooks for vocational high schools in the Indonesian context and their relevancy to the targeted proficiency was still rare. …”
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بنک المعرفى المصرى ودوره فى دعم وتطویر التعلیم الثانوى العام : دراسة میدانیة لاستطلاع آراء المعلمین... by د. اسماء حسین محمد Hussein

“…from Egypt's 2030 vision for sustainable Development, and the strategicplan for the development of pre-university education and the associatedoperational programs, it is clear that the development of the secondary educationsystem is important, and that the students ' ability to think and innovate isincreased, and with the state's interest in implementing many Infrastructure,construction, roads and new cities projects the Egyptian Knowledge Bank,launched in January 2016, remains one of the most important, sustainable andinfluential projects of the country, and the project's priorities are investment inpeople, not stoneAs is known, the Egyptian Knowledge Bank (EKB) is one of the mainpillars of the initiative of President Abdel Fattah al-Sisi "Towards an Egyptiansociety that learns, thinks and Innovates" which was launched on Flag Day 2015,with the aim of spreading science and knowledge, supporting education andscientific research, and improving its output and interest in classifying Egyptianuniversities and support the research capabilities of young researchers and theestablishment of a unified system for the publication of journals and scientificconferences as well as university theses.All agree that secondary education needs the concrete efforts of all theDecision makers, experienced and competent, for reform and development ,hence the importance of this study to know the importance of the Egyptianknowledge Bank and its role in supporting and developing general secondaryeducation in Alexandria. through the survey of teachers at the secondary schoolsin Alexandria Governorate about the Egyptian knowledge Bank and itsusefulness in supporting education and curriculum, and the extent to whichteachers encourage students to use the Egyptian knowledge Bank in teachingand learning processes, as well as The skills needed for teachers to deal with theEgyptian knowledge Bank and benefit from it in education…”
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Analysis of Noise Pollution during Dussehra Festival in Bhubaneswar Smart City in India: A Study Using Machine Intelligence Models by Sourav Kumar Bhoi, Chittaranjan Mallick, Chitta Ranjan Mohanty, Ranjan Soumya Nayak

“…In this work, the noise pollution level of Bhubaneswar smart city during Dussehra 2020 is predicted using different supervised machine learning (ML) prediction models. The input parameters considered for this work are area or zones of Bhubaneswar city, time at which sound level recorded, equivalent continuous sound level (Leq in dBA), and noise level (high/low compared to the standard value). …”
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Analysis and Classification of Fake News Using Sequential Pattern Mining by M. Zohaib Nawaz, M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He

“…Current machine and deep learning based methodologies for classification/detection of fake news are content-based, network (propagation) based, or multimodal methods that combine both textual and visual information. …”
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Solving Spatial Optimization Problems via Lagrangian Relaxation and Automatic Gradient Computation by Zhen Lei, Ting L. Lei

“…This paper aims to ease the development of Lagrangian relaxation algorithms for GIS practitioners by employing the automatic (sub)gradient (autograd) computation capabilities originally developed in modern Deep Learning. Using the classic <i>p</i>-median problem as an example, we demonstrate how Lagrangian relaxation can be developed with paper and pencil, and how the (sub)gradient computation derivation can be automated using autograd. …”
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The Implementation of a Support Vector Regression Model Utilizing Meta-Heuristic Algorithms for Predicting Undrained Shear Strength by Rami Al-Qasimi, Firas Al-Hajri

“…To address these limitations, this study introduces innovative machine learning techniques, employing the Support Vector Regression (SVR) model to accurately predict USS. …”
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A data-driven state identification method for intelligent control of the joint station export system by Guangli Xu, Yifu Wang, Zhihao Zhou, Yifeng Lu, Liangxue Cai

“…Compared with the traditional hydraulic calculation modified (THCM) models and other machine learning algorithms, the PSO-GWO-BP model has significant advantages in prediction accuracy. …”
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On the enhancement of estimator efficiency of population variance through stratification, transformation, and formulation with application to COVID-19 data by Hameed Ali, Zafar Mahmood, T.H. AlAbdulaal

“…This work introduces a novel data-driven machine learning algorithm aiming stratification problem, formally based on subjective approach. …”
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Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method by Yuxuan Bi, Peng Liu, Tianyi Zhang, Jialin Shi, Caixia Wang

“…By prioritizing the importance of input feature positions, this module enhances the sparse learning performance of critical feature information. …”
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Matching Subsequence Music Retrieval in a Software Integration Environment by Zhencong Li, Qin Yao, Wanzhi Ma

“…In this paper, the main melody features, MFCC features, GFCC features, and rhythm features, are extracted from audio data and a feature fusion algorithm is proposed to achieve the fusion of GFCC features and rhythm features to form new features under the processing of principal component analysis (PCA) dimensionality reduction. After learning the main melody features, MFCC features, GFCC features, and rhythm features, based on the property that PCA dimensionality reduction can effectively reduce noise and improve retrieval efficiency, this paper proposes vector fusion by dimensionality reduction of GFCC features and rhythm features. …”
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Transcriptomics profiling of Parkinson’s disease progression subtypes reveals distinctive patterns of gene expression by Carlo Fabrizio, Andrea Termine, Carlo Caltagirone

“…Methods Whole blood RNA-Sequencing data underwent differential gene expression analysis, followed by multiple pathway analyses. A Machine Learning (ML) classifier, namely XGBoost, was trained using data from multiple modalities, including gene expression values. …”
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Effectiveness of teaching motivational interview technique to third professional year medical students to improve counseling skills – An interventional study by Govindaraju S. L. Manojna, B. Devi Madhavi

“…Health behavior change counseling skills were taught as a learning objective in medical curricula worldwide. …”
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Organizational school climate in city high schools from the perspective of teachers by Tadić Violeta M., Kordić Boris J.

“…A positive organizational school climate is recognized as a significant factor in teacher well-being and student learning outcomes. This research examined the quality of the organizational school climate in high schools in the Republic of Serbia. …”
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Cloud-Based Transaction Fraud Detection: An In-depth Analysis of ML Algorithms by Ali Alhchaimi

“…Objectives: This study assesses machine learning (ML) algorithms' ability to detect fraud in cloud environments, focusing on Logistic Regression (LR), Decision Trees (DT), Random Forest (RF), Support Vector Machines (SVM), and XGBoost (XGB). …”
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Using the Functional Resonance Analysis Method (FRAM) in Aviation Safety: A Systematic Review by Wulin Tian, Carlo Caponecchia

“…The functional resonance analysis method (FRAM) is a system-based method to understand highly complex sociotechnical systems. Besides learning from safety occurrences or undesirable states, FRAM can be used to understand how things go well in a system, by identifying gaps between “work as imagined” (WAI) and “work as done” (WAD). …”
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A 2D Nested Array Based DOA Estimator for Incoherently Distributed Sources via Sparse Representation Utilizing L1-Norm by Tao Wu, Yiwen Li, Zhengxin Li, Yijie Huang, Jiwei Xu

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