Efficient Anomaly Detection for Edge Clouds: Mitigating Data and Resource Constraints by Javad Forough, Hamed Haddadi, Monowar Bhuyan, Erik Elmroth

“…This enables the model to benefit from the learned features and patterns from related tasks such as network intrusion detection, resulting in improved detection accuracy. …”
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Hyper IgE Syndromes: Understanding, Management, and Future Perspectives: A Narrative Review by Mohammad Salehi, Zeinab Neshati, Hamid Ahanchian, Rana Tafrishi, Alireza Pasdar, Mojtaba Safi, Ehsan Ghayoor Karimiani

“…In this review we aim to provide a comprehensive understanding of the condition and also discuss latest updates on pathological features, clinical spectrum and its variability, immunological abnormalities, inheritance patterns, new candidate genes, challenges, management strategies, epidemiology and future directions of HIES. …”
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Explainability of Network Intrusion Detection Using Transformers: A Packet-Level Approach by Pahavalan Rajkumardheivanayahi, Ryan Berry, Nicholas U. Costagliola, Lance Fiondella, Nathaniel D. Bastian, Gokhan Kul

“…Machine learning based NIDS models leverage algorithms that learn from historical network traffic data to identify patterns and anomalies to capture complex relationships. …”
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Surgical management and outcomes of corrosive esophageal injuries: a prospective study from Sana’a, Yemen by Mohammed Mohammed Al-Shehari, Yasser Abdurabo Obadiel, Ahmed Hamood Al-Helali, Haitham Mohammed Jowah

“…This study evaluated the demographic patterns, clinical presentations, management strategies, and outcomes of patients with corrosive esophageal injuries at a tertiary hospital in Sana’a, Yemen. …”
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Deep learning model using continuous skin temperature data predicts labor onset by Chinmai Basavaraj, Azure D. Grant, Shravan G. Aras, Elise N. Erickson

“…We investigated if continuous body temperature exhibits similar changes in women and whether these changes may be linked to hormonal status. Finally, we developed a deep learning model using temperature patterning to provide a daily forecast of time to labor onset. …”
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Deciphering transcriptomic signatures in schizophrenia, bipolar disorder, and major depressive disorder by Priyanka, Rajesh Kumar, Vinod Kumar, Ashwani Kumar, Sandeep Singh Rana

“…At the same time, each disorder also demonstrated unique transcriptional patterns, supporting the existence of disorder-specific mechanisms. …”
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Roadblocks to ride: Unraveling barriers to access shared micromobility systems in the United States by Farzana Mehzabin Tuli, Suman Kumar Mitra

“…To elucidate the specific barriers faced by users, we employed the K-Prototype clustering methodology, an unsupervised machine learning technique capable of handling datasets with both numerical and categorical features. This approach enabled us to uncover distinct patterns and groupings among shared micromobility services based on these barriers. …”
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A simulation-based network analysis of intervention targets for comorbid symptoms of depression and anxiety in Chinese healthcare workers in the post-dynamic zero-COVID policy era by Chao Zhang, Ruyong Li, Wei Zhang, Yanqiang Tao, Xiangping Liu, Yichao Lv

“…To fill this gap, this study used network analysis to examine new features and mechanisms of comorbidity between depression and anxiety symptoms, and simulated symptom-specific interventions to identify effective targets for intervention. …”
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Anteromedial facet coronoid fractures: an algorithmic approach for assessment and management based on 3 dimensional computed tomography humeral subtraction by Armin Badre, MD, MSc, FRCSC, Moayd Abdullah H. Awad, MBBS, FRCSC, Robert Chan, MD, MSc, FRCSC, Michael Lapner, MD, FRCSC

“…Patients with an AMF fracture meeting radiographic features consistent with a VPMRI mechanism were managed operatively, and those with an AMF fracture that did not meet one of the radiographic features of a VPMRI mechanism were considered for nonoperative management. …”
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The challenge of a late diagnosis of Autism Spectrum Disorder: co-occurring trajectories and camouflage tendencies. a case report of a young Autistic female with Avoidant Restricti... by Sara Passarini, Sara Passarini, Silvia Guerrera, Maria Picilli, Maria Picilli, Elisa Fucà, Laura Casula, Deny Menghini, Sabine Pirchio, Valeria Zanna, Giovanni Valeri, Stefano Vicari, Stefano Vicari

“…Both Autism Spectrum Disorder (ASD) and ARFID are characterized by the two main features of cognitive rigidity and sensory sensitivity, which may complicate differential diagnosis. …”
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Spatiotemporal regulation of alginate sub-structures at multiple scales revealed by monoclonal antibodies by Catherine T. Jones, Cassie Bakshani, Ieva Lelenaite, Jozef Mravec, Stjepan Krešimir Kračun, Jeff Pearson, Mathew D. Wilcox, Kevin Hardouin, Sonia Kridi, Cécile Hervé, William G.T. Willats

“…Alginates are comprised of D-mannuronic acid (M) and L-guluronic acid (G) and the ratios and distribution patterns of M and G profoundly impact their physiological and rheological properties. …”
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Assessing Sleep Quality Using Mobile EMAs: Opportunities, Practical Consideration, and Challenges by Jiyoun Lim, Chi Yoon Jeong, Jeong Muk Lim, Seungeun Chung, Gague Kim, Kyoung Ju Noh, Hyuntae Jeong

“…The result of analysis indicates that features using both daily indexes and sleep questionnaires lead to better prediction of sleep quality. …”
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Early repolarization syndrome in modern interpretation by T. V. Ashcheulova, N. M. Herasymchuk, I. V. Sytina

“…The history of the development of early repolarization syndrome has been shown since 1936 to present time, which was first described by R. …”
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Dermoscopy and Pathological Correlation in Different Grades of Actinic Keratosis and Squamous Cell Carcinoma by Li X, Sun J, Zhang H, Zhang C, Li W

“…Dermoscopic grading significantly correlated with both pathological grading systems (P < 0.05). Dermoscopic features such as pigmentation, white fine scaling, erosions, ulceration, white structureless areas, white lines, and vessel patterns were pathologically validated, corresponding to changes related to epidermal basal cells, along with increased inflammatory cell infiltration and fibroblast content in the dermis.Conclusion: Dermoscopy offers a non-invasive and effective method for assessing lesion malignancy across various grades of AK and SCC, reflecting their pathological features and aiding clinical diagnosis while potentially reducing unnecessary biopsies.Keywords: actinic keratosis, squamous cell carcinoma, dermatological imaging, tumor microenvironment…”
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Investigation of bivariate particle size-density classification and quality differentiation of coal gasification fine slag by Xu SHI, Lili LIU, Mo CHU, Suqian GU, Jianfei DONG, Yanyu LIU

“…“Porous carbon”: Present in medium-coarse size fractions (0.074-0.25 mm) and medium-high density fractions (1.9-2.3 g/cm3), with well-developed internal pores and a large specific surface area. …”
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Exploring potential methylation markers for ovarian cancer from cervical scraping samples by Ju-Yin Lien, Lu Ann Hii, Po-Hsuan Su, Lin-Yu Chen, Kuo-Chang Wen, Hung-Cheng Lai, Yu-Chao Wang

“…Since aberrant DNA methylation patterns are linked to cancer progression, DNA methylation offers a promising avenue for early diagnosis. …”
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Advanced and interpretable corneal staining assessment through fine grained knowledge distillation by Yuqing Deng, Pujin Cheng, Ruiwen Xu, Lirong Ling, Hongliang Xue, Shiyou Zhou, Yansong Huang, Junyan Lyu, Zhonghua Wang, Kenneth K. Y. Wong, Yimin Zhang, Kang Yu, Tingting Zhang, Xiaoqing Hu, Xiaoyi Li, Xiaoying Tang, Yan Lou, Jin Yuan

“…To address these limitations, we developed the Fine-grained Knowledge Distillation Corneal Staining Score (FKD-CSS) model. …”
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Experience with Early Enteral Feeding in a Patient with Venoarterial Extracorporeal Membrane Oxygenation by V. V. Lomivorotov, S. M Yefremov, A. V. Bogachev, I. A. Kornilov

“…Objective: to study the specific features of the mechanisms responsible for the development of acute renal failure (ARF) in low and ELBW neonates and to use an analysis of oxygen status parameters as a method for early diagnosis of neonatal ARF. …”
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Human microbiome, applied to clinical practice by V. T. Ivashkin, K. V. Ivashkin

“…The theory and practice of microbiome causes high potential for justification of the pattern of healthy nutritional pattern, behavior and development of new therapeutic agents.…”
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Concrete Spalling Severity Classification Using Image Texture Analysis and a Novel Jellyfish Search Optimized Machine Learning Approach by Nhat-Duc Hoang, Thanh-Canh Huynh, Van-Duc Tran

“…To characterize concrete surface condition, image texture descriptors of statistical measurement of color channels, gray-level run length, and center-symmetric local binary pattern are used. Based on these texture-based features, the support vector machine classifier optimized by the jellyfish search metaheuristic is put forward to construct a decision boundary that partitions the input data into two classes of shallow spalling and deep spalling. …”
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