Migration Drivers, the EU External Migration Policy and Crisis Management by Fulvio Attinà

“…In the concluding section, the results of the analysis are summarily discussed. The analysis demonstrates that the EU leaders have been late in detecting the characteristics of the phenomenon and have not conceded to reconcile their conventional view to the features of the current migration. …”
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Shotgun sequence-based metataxonomic and predictive functional profiles of Pe poke, a naturally fermented soybean food of Myanmar. by Jyoti Prakash Tamang, Pynhunlang Kharnaior, Priyambada Pariyar, Namrata Thapa, Ni Lar, Khin Si Win, Ae Mar, Nyo Nyo

“…A total of 172 species of Bacillus was detected. In minor abundance, the existence of bacteriophages, archaea, and eukaryotes were also detected. …”
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A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

“…The methodology aims to detect faults, identify their key causes and feature variables, and analyze the root path of fault propagation with the time and magnitude of one cause variable to another impact. …”
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Genomic characteristics of monkeypox virus from 8 cases in Changning District， Shanghai by HE Xiaoding, XU Yang, YIN Ning, WANG Zhenyu, GUO Jiayin

“…The detection rates of vesicle fluid and anal swabs for MPXVs are significantly higher than that of throat swabs.…”
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A Handheld IoT Vis/NIR Spectroscopic System to Assess the Soluble Solids Content of Wine Grapes by Xu Zhang, Ziquan Qin, Ruijie Zhao, Zhuojun Xie, Xuebing Bai

“…After simultaneously removing outliers detected by both Monte Carlo (MC) and principal component analysis (PCA) methods from the raw spectra, the SSC prediction model was established, resulting in an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mrow><mi mathvariant="normal">R</mi></mrow><mrow><mi>V</mi></mrow><mrow><mn>2</mn></mrow></msubsup></mrow></semantics></math></inline-formula> of 0.697. …”
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Echocardiographic Tissue Characterization Using Radiomics in Patients With Transthyretin-Related Cardiac Amyloidosis by Sara Mori, MD, Noemi Montobbio, MSc, Maria Pia. Sormani, MSc, PhD, Cristina Campi, MSc, PhD, Carlotta Mazzoni, MD, Alessia Argirò, MD, PhD, Giulia Elena Mandoli, MD, Francesca Rubina Ginetti, MD, Margherita Zanoletti, MD, Pier Filippo Vianello, MD, Valeria Rella, MD, Lia Crotti, MD, PhD, Michele Piana, MSc, PhD, Matteo Cameli, MD, PhD, Francesco Cappelli, MD, PhD, Italo Porto, MD, PhD, Luigi Paolo Badano, MD, PhD, Marco Canepa, MD, PhD

“…Ninety-four radiomic features were extracted and classified into 2 categories for analysis, based on whether they were ROI-dependent or independent. …”
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SCREENING METHOD OF THE DYSPLASIA OF THE CONNECTIVE TISSUE IN ADOLESCENTS by G. Y. Kalaeva, O. I. Khokhlova, I. A. Deev

“…ABSTRACT Aim of the study is to develop the diagnostic checklist based on the incidence and significance analysis of the external features of the dysplasia of the connective tissue (DCT) for its screening and assessment of its prevalence in the adolescents’ population.Materials and methods.110 adolescents (aged from 10 to 14 years) were examined, 81 of them had the dysplasia of the connective tissue (the first group). …”
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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…The research introduces a novel method combining a Combination Optimization (CO) strategy with a Fuzzy K-Means (FKM) clustering algorithm to address the challenges and achieve superior urban data analysis performance. CO specifically integrates the genetic algorithm (GA) to efficiently search for the optimal subset of features that maximize the performance of a convolutional neural network (CNN) based on extracted features. …”
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Machine Learning-Enabled Attacks on Anti-Phishing Blacklists by Wenhao Li, Shams Ul Arfeen Laghari, Selvakumar Manickam, Yung-Wey Chong, Binyong Li

“…This study presents a comprehensive security analysis of anti-phishing blacklists and introduces two novel cloaking attacks&#x2014;Feature-Driven Cloaking and Transport Layer Security (TLS)-Based Cloaking&#x2014;that exploit vulnerabilities in the automated detection systems of anti-phishing entities (APEs). …”
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Secure Indoor Water Level Monitoring with Temporal Super-Resolution and Enhanced Yolov5 by Sui Guo, Jiazhi Huang, Yuming Yan, Peng Zhang, Benhong Wang, Houming Shen, Zhe Yuan

“…This module processes low-resolution water-level images to generate high-resolution outputs, thereby enabling reliable detection even in suboptimal conditions. Furthermore, unlike existing complex model-based approaches, our enhanced, lightweight Yolov5 model, featuring a small-scale feature mapping branch, ensures real-time monitoring and accurate detection across a variety of conditions, including daytime, nighttime, misty conditions, and wet surfaces. …”
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An adaptive filter for anemia screening using deep convolutional neural network by Jose B. Lazaro, Jr., Jennifer C. Dela Cruz, Jocelyn F. Villaverde

“…This study introduces an automated anemia detection system powered by deep convolutional neural networks (DCNNs), CMOS image sensing, Adam optimizer, and multi-scale feature extraction (MSFE) to improve diagnostic precision and accessibility. …”
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Clinicopathologic characterization of diffuse-large-B-cell lymphoma with an associated serum monoclonal IgM component. by M Christina Cox, Arianna Di Napoli, Stefania Scarpino, Gerardo Salerno, Caterina Tatarelli, Caterina Talerico, Mariangela Lombardi, Bruno Monarca, Sergio Amadori, Luigi Ruco

“…IgM MC was detected in 19 (12.5%) out of 151 patients at disease onset. …”
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Influence of Digital Elevation Model Resolution on the Normalized Stream Length–Gradient Index in Intraplate Regions: A Case Study of the Yangsan Fault, Korea by Hyunjee Lim, Sangmin Ha, Sohee Kim, Hee-Cheol Kang, Moon Son

“…Therefore, understanding the impact of DEM resolution on SLk analysis is critical for accurately detecting and interpreting subtle tectonic signals, particularly in intraplate regions where deformation is slow and geomorphic expressions are faint and discontinuous. …”
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Corn Seed Freezing Damage Identification of Different Sides Based on Hyperspectral Imaging and SPA-2DCOS Fusion Algorithm by Jun Zhang, Limin Dai, Ruiyuan Zhuang

“…When the fusion algorithm consisting of SPA and 2D-COS was used, the model’s performance on the endosperm side was better than that of the full-waveband analysis with only 19 feature wavelengths, while the recognition effect on embryo side could be achieved with only 15 feature wavelengths. …”
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The Role of Cardiac Computed Tomography Angiography in Risk Stratification for Coronary Artery Disease by Sophie E. van Rosendael, MD, PhD, Arthur Shiyovich, MD, Rhanderson N. Cardoso, MD, Camila Veronica Souza Freire, MD, Alexander R. van Rosendael, MD, PhD, Fay Y. Lin, MD, Gina Larocca, MD, Solomon W. Bienstock, MD, Ron Blankstein, MD, Leslee J. Shaw, PhD

“…With software developments incorporating artificial intelligence-based automated image analysis along with improved spatial resolution of CT scanners, volumetric measurements of atherosclerotic plaque, detection of high-risk plaque features, and delineation of pericoronary adipose tissue density can now be readily and accurately evaluated for a given at-risk patient. …”
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High-precision segmentation and quantification of tunnel lining crack using an improved DeepLabV3+ by Zhutian Pan, Xuepeng Zhang, Yujing Jiang, Bo Li, Naser Golsanami, Hang Su, Yue Cai

“…We developed a novel approach called EDeepLab, aiming to achieve a higher precision detection and segmentation of lining surface crack. …”
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The role of Ikaros transcriptional factor in normal hematopoiesis and leukemogenesis: biological and clinical aspects by V. S. Vshivkoo, A. N. Meleshko

“…More detailed clinical analysis required for proving IKZF1 impact on probability of relapse, improving patients, risk stratification and application of minimal residual disease.…”
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Psychosocial consequences of xylazine and implications for harm reduction services by Marina Plesons, William H. Eger, Erika L. Crable, Maia H. Hauschild, Corbin C. McElrath, Cyrus Owens, David W. Forrest, Angela R. Bazzi, Naida De Los Santos, Hansel E. Tookes, Tyler S. Bartholomew

“…This study underscores the need for novel and expanded harm reduction services that go beyond traditional opioid-focused approaches to encompass the complexity of polysubstance use and the unique features of xylazine dependence. This includes additional drug-checking services for xylazine detection, updated clinical protocols for xylazine-related wound care and substance use disorder treatment complicated by xylazine dependence and polysubstance use, and expanded social and psychological support—for PWUD and the frontline harm reduction staff who care for them.…”
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SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters [version 2; peer review: 1 approved,... by Sofie Gyritia Madsen van't Veen, Joachim Audet, Eti Ester Levi, Brian Kronvang, Søren Erik Larsen, Erik Jeppesen, Esben Astrup Kristensen, Anders Nielsen, Thomas Alexander Davidson, Jane Rosenstand Laugesen, Peter Mejlhede Andersen

“…The SentemQC method is computationally efficient and features a six-step user-friendly setup for anomaly detection. …”
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Prophylactic IL-23 blockade uncouples efficacy and toxicity in dual CTLA-4 and PD-1 immunotherapy by Ting Chen, Lin Zhao, Jiaojiao Zhang, Mingyi Ju, Zhuoyuan Deng, Minjie Wei, Lianghua Ma

“…Finally, we also provided a novel machine learning-based computational framework based on two blood-based features—IL-23 and CD4+ Tems—that may have predictive potential for severe irAEs and ICIs response.Conclusions Our study not only provides clinically feasible strategies to dissociate efficacy and toxicity in the use of combined ICIs for cancer immunotherapy, but also develops a blood-based biomarker that makes it possible to achieve a straightforward and non-invasive, detection assay for early prediction of irAEs onset.…”
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