Envisioning Archival Images with Artificial Intelligence by Jessica Bushey

“… The literature review explores the role of Artificial Intelligence (AI) in enhancing access to and management of photographic archives. …”
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A Literature Review on Arabic Automatic Question Generation by Abdulkhaleq Amin Abdullah, Khaled A. Al-Soufi

“… This comprehensive literature review is dedicated to the field of Arabic Automatic Question Generation (AQG), which focuses on the development of computational models and algorithms for the automatic generation of questions. …”
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Identification of podocyte molecular markers in diabetic kidney disease via single-cell RNA sequencing and machine learning. by Hailin Li, Quhuan Li, Zuyan Fan, Yue Shen, Jiao Li, Fengxia Zhang

“…The aim of the present study was to identify podocyte molecular markers associated with DKD using single-cell RNA sequencing (scRNA-seq) data from patients with early DKD. …”
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The transfer of antibiotic resistance genes between evolutionarily distant bacteria by Marcos Parras-Moltó, David Lund, Stefan Ebmeyer, D. G. Joakim Larsson, Anna Johnning, Erik Kristiansson

“…These IPTs were also found to be more recent compared to transfers associated with bacteria isolated from water, soil, and sediment. …”
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Therapeutic Implications of Menin Inhibitors in the Treatment of Acute Leukemia: A Critical Review by Martina Canichella, Cristina Papayannidis, Carla Mazzone, Paolo de Fabritiis

“…We discuss their efficacy, safety profiles, and potential roles within the current treatment algorithm. The continued clinical evaluation of menin inhibitors may redefine treatment paradigms for <i>NPM1</i>m and <i>KMT2A</i>r AML and other acute leukemia with the aberrant <i>MEIS1-HOXA</i> axis, offering new hope for patients with limited therapeutic options.…”
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Investigating Transcriptional Age Acceleration in Inflammatory Skin Diseases by Richie Jeremian, Melissa Galati, Rayyan Fotovati, Kaiyang Li, Carolyn Jack, David O. Croitoru, Stephan Caucheteux, Philippe Lefrançois, Vincent Piguet

“…Epigenetic age acceleration has previously been observed in inflammatory skin disease; however, less is known regarding recently described age-related gene expression patterns (“transcriptional clocks”). We investigated the role of transcriptional clocks in patients with hidradenitis suppurativa (n = 37), those with atopic dermatitis (n = 27), those with plaque psoriasis (n = 28), and healthy subjects (n = 38) using 7 clock algorithms, to improve the understanding of underlying pathophysiology and disease trajectory. …”
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Precision Weeding in Agriculture: A Comprehensive Review of Intelligent Laser Robots Leveraging Deep Learning Techniques by Chengming Wang, Caixia Song, Tong Xu, Runze Jiang

“…Here, we show that these algorithms can achieve high accuracy in weed detection, with YOLO demonstrating particularly fast and accurate performance. …”
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Development and Validation of Early Alert Model for Diabetes Mellitus–Tuberculosis Comorbidity by Zhaoyang Ye, Guangliang Bai, Ling Yang, Li Zhuang, Linsheng Li, Yufeng Li, Ruizi Ni, Yajing An, Liang Wang, Wenping Gong

“…This study mined transcriptome data of DM–TB patients from the GEO database (GSE181143 and GSE114192) and used differential analysis, weighted gene co-expression network analysis (WGCNA), intersecting immune databases, combined with ten machine learning algorithms, to identify immune biomarkers associated with DM–TB. …”
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Exploring ribosome biogenesis in lung adenocarcinoma to advance prognostic methods and immunotherapy strategies by Zipei Song, Yuheng Wang, Miaolin Zhu, Pengpeng Zhang, Zhihua Li, Xin Geng, Xincen Cao, Jianan Zheng, Jianwei Tang, Liang Chen

“…Employing various machine learning algorithms, a ribosome biogenesis-related signature (RBS) was constructed and compared to 140 published LUAD prognostic models. …”
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Moving Vehicles Detection and Tracking on Highways and Transportation System for Smart Cities by Manoj Kumar, Susmita Ray, Dileep Kumar Yadav

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An Analysis of Semi-Supervised Machine Learning in Electrical Machines by V. Raju Arvind, S. Shyamsharan, Poorvajaa Gurunathan, Krishna Kumba, Nawin Ra

“…A detailed table summarizes various methods and emphasizes their role in furthering machine learning within the realm of electrical machines.…”
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Integrative single-cell and metagenomic analysis dissects SARS-CoV-2 shedding modes in human respiratory tract by Xiangxing Jin, Lili Ren, Xianwen Ren, Jianwei Wang

“…In addition to epithelial cells, SARS-CoV-2 replicas in neutrophils, macrophages, and plasma cells also played significant roles and were associated with sampling time and disease severity.…”
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Enhancing Energy Systems and Rural Communities through a System of Systems Approach: A Comprehensive Review by Abdellatif Soussi, Enrico Zero, Alessandro Bozzi, Roberto Sacile

“…The principal areas of interest include the integration of advanced control algorithms and machine learning techniques and the development of robust communication networks to manage interactions between interconnected subsystems. …”
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Identification of metabolic biomarkers in idiopathic pulmonary arterial hypertension using targeted metabolomics and bioinformatics analysis by Chuang Yang, Yi-Hang Liu, Hai-Kuo Zheng

“…Abstract Pulmonary arterial hypertension (PAH) is a life-threatening disease with a poor prognosis, and metabolic abnormalities play a critical role in its development. This study used metabolomics, machine learning algorithms and bioinformatics to screen for potential metabolic biomarkers associated with the diagnosis of PAH. …”
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High-expression of BCL10 inhibits cell-mediated immunity within the tumor immune microenvironment by Jinyi Gu, Jinyi Gu, Changshun Chen, Changshun Chen, Yuanjing Chen, Wei Lv, Fei Li, Puyuan Zhu, Pu He, Yunjie Du, Huiling Liu, Bingdong Zhu

“…BackgroundB-cell lymphoma 10 (BCL10) is a key signaling molecule that plays a pivotal role in activating the NF-κB signaling pathway. However, it is unclear whether prolonged activation of BCL10 within tumors lead to T cell exhaustion and suppress immune responses against cancer.MethodsIn this study, through multi-layered bioinformatics analysis and experimental verification, the role of BCL10 on immune cells in the tumor immune microenvironment was systematically investigated. …”
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Comprehensive and advanced T cell cluster analysis for discriminating seropositive and seronegative rheumatoid arthritis by Shinji Maeda, Hiroya Hashimoto, Tomoyo Maeda, Shin-ya Tamechika, Taio Naniwa, Akio Niimi

“…For advanced analysis, two distinct datasets derived from a self-organizing map algorithm, FlowSOM, were used: one encompassing all CD3+ T cells and another focusing on activated T cell subsets. …”
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A Unified Approach to Image Recognition and Cryptography via Flexible Weak Inverse Property Quasigroups by Mohammad Mazyad Hazzazi, Muhammad Nadeem, Muhammad Kamran, Muhammad Arshad, Samuel Asefa Fufa

“…Vertex algebras are nonassociative binary operations providing a complete breakdown of graph structures. Algebra without associativity can be employed to strengthen the security guaranteed by specific cryptographic algorithms and protocols, as well as to establish new chances for accomplishing cryptographic targets such as encryption, hashing, and digital signatures. …”
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A new era in treatment of cardiac amyloidosis: an overview of the Congress of cardiology by I. E. Strelkova

“…Advent of the first drug specific for treatment of transthyretin amyloid cardiomyopathy in Russia increased a need of awareness of ATTR-CM among general practitioners  and cardiologists, and introduction of modern diagnostic algorithms for this disease. Timely detection and competent differential diagnosis of ATTR-CM from other types of amyloid cardiomyopathy  can play a decisive role in the prognosis of this disease. …”
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The Disaggregation of Platform Labor: Theorizing Skin Tone Work in the Black Influencer Beauty Economy by Ta’Les Love

“…This research asserts that the first layer of RPL involves skin tone work, where beauty influencers must combat the negative preconceptions and discourses typically associated with dark skin. I also suggest that they must combat these biases while simultaneously presenting themselves as marketable to cosmetics companies, viewers, and platform algorithms. …”
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Constipations in elderly: diagnostics and treatment approach by Yu. O. Shulpekova

“…Adequate nutrition, physical motions, treat- ment of cognitive disorders and care for the patient have major value. Algorithms of stage-by-stage treat- ment of constipation with normal and delayed transit are presented.Conclusion. …”
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