SAMHD1 knockout hiPSC model enables high lentiviral transduction efficiency in myeloid cell types by Huinan Li, Huinan Li, Maliha Afroze, Maliha Afroze, Gunisha Arora, Gunisha Arora, Scot Federman, Scot Federman, Kaivalya Shevade, Kaivalya Shevade, Yeqing Angela Yang, Yeqing Angela Yang, Phuong Nguyen, Phuong Nguyen, Rustam Esanov, Rustam Esanov, Laralynne Przybyla, Laralynne Przybyla, Adam Litterman, Adam Litterman, Shawn Shafer, Shawn Shafer

“…These experiments highlight the broad applicability of this platform for disease-relevant target identification and may improve our ability to run large-scale screens in hiPSC-derived myeloid model systems.…”
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Principal Component Analysis-Based Shading Defect Identification and Categorization in Standalone PV Systems Using I-V Curves by Hayder Dakhil Atiyah, Mohamed Boukattaya, Fatma Bensalem

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Study protocol for a stepped-wedge, randomized controlled trial to evaluate implementation of a suicide risk identification model among behavioral health patients in three large he... by Scott P. Stumbo, Stephanie A. Hooker, Rebecca C. Rossom, Kathleen Miley, Brian K. Ahmedani, Elizabeth Lockhart, Hsueh-Han Yeh, Bobbi Jo H. Yarborough

“…Methods This hybrid type I effectiveness-implementation pragmatic clinical trial will test a suicide risk identification model in behavioral health clinics at three large health systems. …”
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Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms by Jie Zhu, Jianmei Zhou, Chunhui Tao, Guomei Xia, Bingyan Liu, Xiaowei Zheng, Xu Li, Zhenhua Zhang

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Systems metabolic engineering of Corynebacterium glutamicum for efficient l-tryptophan production by Yufei Dong, Zhen Chen

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Process Importance Identification for the SPAC System Under Different Water Conditions: A Case Study of Winter Wheat by Lijun Wang, Liangsheng Shi, Jinmin Li

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Detecting Potential Investors in Crypto Assets: Insights from Machine Learning Models and Explainable AI by Timotej Jagrič, Davor Luetić, Damijan Mumel, Aljaž Herman

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Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

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Plant Disease Prognosis Using Spatial-Exploitation-Based Deep-Learning Models by Jayavani Vankara, Sekharamahanti S. Nandini, Murali Krishna Muddada, N. Satya Chitra Kuppili, K Sowjanya Naidu

“…Several techniques and technologies have been developed to aid in the diagnosis, management, and eventual eradication of plant diseases. The efficient and accurate identification of plant diseases could be aided by the development of a quick and accurate model. …”
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Development Of A Vision- based Anti-drone Identification Friend Or Foe Model To Recognize Birds And Drones Using Deep Learning by Yasmine Ghazlane, Maha Gmira, Hicham Medromi

“…A comparison is performed based on eight models, where EfficientNetB6 shows the best results with 98.12% accuracy, 98.184% precision, 98.115% F1 score and 99.85% Area Under Curve (AUC). …”
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Automated Surface Crack Identification of Reinforced Concrete Members Using an Improved YOLOv4-Tiny-Based Crack Detection Model by Sofía Rajesh, K. S. Jinesh Babu, M. Chengathir Selvi, M. Chellapandian

“…This paper employed an enhanced You Only Look Once (YOLO) v4-tiny algorithm, based on the Crack Detection Model (CDM), to accurately identify and classify crack types in reinforced concrete (RC) members. …”
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HoRNS-CNN model: an energy-efficient fully homomorphic residue number system convolutional neural network model for privacy-preserving classification of dyslexia neural-biomarkers by Opeyemi Lateef Usman, Ravie Chandren Muniyandi, Khairuddin Omar, Mazlyfarina Mohamad, Ayoade Akeem Owoade, Morufat Adebola Kareem

“…To address these issues, this study introduces the HoRNS-CNN model, which integrates the energy-efficient features of the residue number system FHE scheme (RNS-FHE scheme) with the high accuracy of pre-trained deep CNN models in the cloud for efficient, privacy-preserving predictions and provide some proofs of its energy efficiency and homomorphism. …”
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Structural Damage Identification Using PID-Based Search Algorithm: A Control-Theory Inspired Application by Kuang Shi, Tingting Sun

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Purification, identification, and in silico screening of a multifunctional octapeptide from semen armeniacae glutelin-2 hydrolysates: restraining mechanisms to Keap1 and ACE, stabi... by Ziqing Jin, Ling Dang, Yan Li, Chen Feng, Xinling Song, Zhihui Wei, Jie Liu, Hao Wang, Yichan Zhang

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Enhanced Domain Tuned Yolo-Driven Intelligent Fault Identification Method: Application in Selection and Construction of Gas Storage by BAI Xuefeng, ZHANG Fengyuan, ZOU Huanyu, HUANG Famu, LI Junlun, ZHAO Shijie, ZHANG Li, TANG Jizhou

“…By further establishing a fault identification model based on the pre-trained Yolo model and inputting the measured and enhanced image data for domain data fine-tuning training, the intelligent fault identification model is established. …”
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Promoting the sustainable development of the provincial electricity spot market: supervision obstacle identification, analysis, and solutions based on the ISM-DEMATEL model by Yi Li, Wulei Xue, Yi Zhang, Xiande Zheng, Liumao Yang

“…Considering uncertainty and redundancy in subjective obstacle identification, interpretive structural modeling (ISM) is introduced to refine the original decision-making trial and evaluation laboratory (DEMATEL) method to remove redundancy obstacles and further analyze the comprehensive importance and causal relationships. …”
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A comparative approach of analyzing data uncertainty in parameter estimation for a Lumpy Skin Disease model by Edwiga Renald, Miracle Amadi, Heikki Haario, Joram Buza, Jean M. Tchuenche, Verdiana G. Masanja

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Identification of Sound Power Levels and Surface Absorption Coefficients in Multi-Source Industrial Buildings by Using a Simplified Diffusion Model by Martín E. SEQUEIRA, Víctor H. CORTÍNEZ

“…The former is a recently developed model for estimating the SPLs in a fast and sufficiently accurate form. …”
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Online identification of stability region for large-scale wind farms, Part I: Clustering based piecewise affine impedance modeling by Jia Luo, Peng Wang, Haoran Zhao, Chenxinwei Yuan, Tiancheng Liu, Vladimir Terzija

“…This study proposes a piecewise affine method for impedance modeling and identification under diverse operating points. …”
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Adapting a global plant identification model to detect invasive alien plant species in high-resolution road side images by Vincent Espitalier, Jean-Christophe Lombardo, Hervé Goëau, Christophe Botella, Toke Thomas Høye, Mads Dyrmann, Pierre Bonnet, Alexis Joly

“…In this article, we assess whether large plant identification models trained on such data can be leveraged for species detection in high-resolution images. …”
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