Comprehensive benchmarking of genome editing quantification methods for plant applications by Zheng Gong, Yan Zhang, Di Xia, Sohye Yoon, Peter Alexander Crisp, José Ramón Botella

“…However, current studies employ vastly different techniques to quantify genome editing outcomes, limiting the comparability and repeatability of results. In this study, we systematically evaluated and compared experimental techniques for quantifying plant genome editing across a wide range of efficiencies. …”
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Optimizing Bi-LSTM networks for improved lung cancer detection accuracy. by Su Diao, Yajie Wan, Danyi Huang, Shijia Huang, Touseef Sadiq, Mohammad Shahbaz Khan, Lal Hussain, Badr S Alkahtani, Tehseen Mazhar

“…To address this critical health challenge, researchers have developed computer-aided diagnosis (CAD) systems that rely on feature extraction from medical images. …”
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Free Vibration Analysis of Moderately Thick Rectangular Plates with Variable Thickness and Arbitrary Boundary Conditions by Dongyan Shi, Qingshan Wang, Xianjie Shi, Fuzhen Pang

“…The effectiveness and reliability of the presented solution are demonstrated by comparing the present results with those results published in the literatures and finite element method (FEM) data, and numerous new results for moderately thick rectangular plates with nonuniform thickness and elastic restraints are presented, which may serve as benchmark solution for future researches.…”
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Network intrusion detection model using wrapper based feature selection and multi head attention transformers by Muhammad Umer, Muhammad Tahir, Muhammad Sardaraz, Muhammad Sharif, Hela Elmannai, Abeer D. Algarni

“…Due to the increase in data, the diverse nature of devices, and the types of attacks, standard security systems find it difficult to tackle these attacks. Many researchers have worked to address the problem of intrusion detection in networks. …”
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Measurement Approaches and Implementation of a Fading Characterization Tester for Evaluating Optical Turbulent Channels by Yatian Li, Tianwen Geng, Xueliang Li, Ye Wang, Shijie Gao

“…Thus we propose the algorithms for measuring the outage and synchronization performance, bit error rate (BER), throughput, and fading statistics. …”
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Preliminary analysis of acoustic detection of the Red-throated Caracara in northern Costa Rica by Roberto Vargas-Masís, Diego Quesada

“…Advances in automatic acoustic detection have transformed bird ecology, allowing researchers to analyze bird populations using pattern matching algorithms, machine learning, and random forest models. …”
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Utilizing Machine Learning Techniques for Cancer Prediction and Classification based on Gene Expression Data by Mariwan Mahmood Hama Aziz, Sozan Abdullah Mahmood

“…Cancer classification through genetic evaluation has become a hot topic among researchers. It holds the promise of delivering systematic, precise, and scientifically backed diagnoses for different types of cancer. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…Despite its potential to revolutionize the field, researchers are often encumbered by obstacles, such as the complexity of selecting optimal algorithms, the automation of data pre-processing steps, the necessity for adaptive feature engineering, and the assurance of model performance consistency across different datasets. …”
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Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study by Soo Hwan Park, Roshini Pinto-Powell, Thomas Thesen, Alexander Lindqwister, Joshua Levy, Rachael Chacko, Devina Gonzalez, Connor Bridges, Adam Schwendt, Travis Byrum, Justin Fong, Shahin Shahsavari, Saeed Hassanpour

“…Each DHS block consisted of a journal club, a live-coding demonstration, and an integration session led by a researcher in that field. Students’ confidence in explaining the content objectives (high-level knowledge, implications, and limitations of AI) was measured before and after each block and compared using Mann-Whitney U tests. …”
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Application of blade element momentum theory with guaranteed convergence to analyze a straight-blade horizontal axis wind turbine by Dang Huy Le, The Bao Nguyen, Van Minh Ngo

“…This type of turbine has much potential for practical applications, providing electricity to households and residential areas far from cities, but has not been fully researched. Straight-blade turbines with relatively large Re changes in blade spanwise direction often cause difficulties in the convergence of BEM algorithms. …”
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Long-Short Term Memory Networks and Synthetic Data for Heavy Vehicle Rollover Prevention by Guido Perboli, Antonio Tota, Filippo Velardocchia

“…Heavy vehicle rollover plays a pivotal role in road safety scenarios. Numerous researchers addressed the topic, with particular focus on drivers related injuries. …”
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Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

“…It offers sophisticated algorithms that can identify and discover hidden patterns and provide insights into complex biological networks. …”
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Identification of Spambots and Fake Followers on Social Network via Interpretable AI-Based Machine Learning by Danish Javed, Noor Zaman Zaman, Navid Ali Khan, Sayan Kumar Ray, Arafat Al-Dhaqm, Victor R. Kebande

“…Most of the current bot detection methods rely on black-box algorithms, raising concerns about their transparency and practical usability. …”
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Noninvasive diagnosis of interstitial fibrosis in chronic kidney disease: a systematic review and meta-analysis by Shanshan Wan, Shiping Wang, Xinyu He, Chao Song, Jiaping Wang

“…Rationale and objectives Researchers have delved into noninvasive diagnostic methods of renal fibrosis (RF) in chronic kidney disease, including ultrasound (US), magnetic resonance imaging (MRI), and radiomics. …”
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Automatic Scan-to-BIM—The Impact of Semantic Segmentation Accuracy by Jidnyasa Patil, Mohsen Kalantari

“…Given the rapid advancement of deep learning algorithms in recent years, it is crucial to analyze how their accuracy impacts reconstruction quality. …”
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OT-PCA: New Key-Recovery Plaintext-Checking Oracle Based Side-Channel Attacks on HQC with Offline Templates by Haiyue Dong, Qian Guo

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The future of 3D printing in instrumented implantable polymer meta-stents by C. Brosseau, G. Nocchiero, J. Ville

“…Firstly, we examine the benefits of using 3D-printed polymer stents by comparing their characteristics with metallic devices. …”
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Recent Tools of Software-Defined Networking Traffic Generation and Data Collection by Tabarak Khudhair, Omar Athab

“…Many obstacles and mistakes are also explored and listed to be prevented when researchers try to generate such datasets in their next scientific efforts. …”
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Evaluation of the BronchiolitisMAD protocol in the out-of-hospital emergency services of the Community of Madrid by Beatriz Jiménez-Sánchez Carpio, Laura Sánchez-García, Itziar Marsinyach-Ros, Joaquín Antonio Rendo-Murillo, Víctor Quesada-Cubo, Marina Gómez-Morán Quintana, Jorge Lorente-Romero, María Isabel Sánchez-Sáenz, Ana María Cintora-Sanz, Cristina Horrillo-García

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Guided Decision Tree: A Tool to Interactively Create Decision Trees Through Visualization of Subsequent LDA Diagrams by Miguel A. Mohedano-Munoz, Laura Raya, Alberto Sanchez

“…The resulting decision trees reduces the tree size compared to those generated by automatic machine learning algorithms, obtaining a similar accuracy and therefore improving their understanding. …”
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