Pulmonary Artery Pseudoaneurysm: A Rare Cause of Fatal Massive Hemoptysis by Himaja Koneru, Sreeja Biswas Roy, Monirul Islam, Hesham Abdelrazek, Debabrata Bandyopadhyay, Nikhil Madan, Pradnya D. Patil, Tanmay S. Panchabhai

“…Computed tomography angiography is the preferred diagnostic modality for PAPA; typical imaging patterns include focal outpouchings of contrast adjacent to a branch of the PA following the same contrast density as the PA in all phases of the study. …”
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Liquid Chromatography/Quadrupole Time-of-Flight Mass Spectrometry for Identification of In Vitro and In Vivo Metabolites of Bornyl Gallate in Rats by Wei Lan, Liujiao Bian, Xinfeng Zhao, Pu Jia, Xue Meng, Yizhen Wu, Shixiang Wang, Sha Liao, Jie Yu, Xiaohui Zheng

“…Metabolites identification involved analyzing the retention behaviors, changes of molecular weights and MS/MS fragment patterns of BG and the metabolites. Five compounds were identified as isomers of hydroxylated BG metabolites in vitro. …”
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An Analysis of the Allometric and Multifractal Features of a Development in the Urban-Rural Area in the Lower Reaches of the Yangtze River: 2012 Cross-Sectional Data of Four Provin... by Zhi-jun Song, Yi Chen, Yun Li, Xin Zhao

“…Fundamental analysis shows that there are different patterns of allometric growth in various areas of the region, as well as the emergence of diffusion in fundamental activities and of polarisation in advanced activities. …”
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A reliable and privacy-preserved federated learning framework for real-time smoking prediction in healthcare by Siddhesh Fuladi, D. Ruby, N. Manikandan, Animesh Verma, M. K. Nallakaruppan, Shitharth Selvarajan, Shitharth Selvarajan, Shitharth Selvarajan, Preeti Meena, V. P. Meena, Ibrahim A. Hameed

“…By utilizing a distributed approach, the framework ensures secure, privacy-preserved model training on decentralized devices, enabling the capture of diverse smoking behavior patterns. The proposed framework incorporates careful data preprocessing, rational model architecture selection, and optimal parameter tuning to predict smoking with high precision. …”
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AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning by Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, Muhammad Tahir Hassan, Mustabshirha Gul, Naveed Husnain, Jianchun Mi

“…The novelty of this review lies in its detailed examination of ML and DL models, highlighting their ability to handle complex and nonlinear patterns in Solar Irradiance (SI) data. We systematically explored the evolution from traditional empirical, including machine learning (ML), and physical approaches to these advanced models, and delved into their real-world applications, discussing economic and policy implications. …”
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Psychological assessment and support in functional neurological disorder: a longitudinal study by Yvonne Radin, Matteo Bulfon, Paola Caruso, Egidio Barbi, Paolo Manganotti, Andrea Clarici

“…A central objective of the research was to explore patterns or correlations between self-reported data from the patients and the evaluations completed by their therapists. …”
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Investigation to Improve the Pool Boiling Heat Transfer Characteristics Using Laser-Textured Copper-Grooved Surfaces by Dharmendra Mani, Suresh Sivan, Hafiz Muhammad Ali, Udaya Kumar Ganesan

“…In this, three square grooved patterns with the same pitch (100 μm) and width (100 μm) but different depths (30, 70, and 100 μm) were investigated. …”
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Destabilization signs in behavioral and somatovegetative parameters of rats selected for catatonia by T. A. Alekhina, N. A. Palchikova, R. V. Kozhemyakina, O. I. Prokudina

“…All these changes point to the modification of behavioral and somatovegetative patterns and intensification of the passive-defensive component of selection in GC rats.…”
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The Role of Mandibular Thickness in Determining Anteroposterior Skeletal Relationships by Akihiro Tsuboi, So Koizumi, Masahiro Takahashi, Yu Hikita, Tetsutaro Yamaguchi

“…The differing relationships in mandibular thickness underscore the significance of CT imaging in predicting craniofacial growth patterns, particularly in observing discrepancies between the mandibular body and ramus as they relate to the anterior–posterior jaw relationship.…”
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Modeling the impact of pandemic on the urban thermal environment over megacities in China: Spatiotemporal analysis from the perspective of heat anomaly variations by Jianfeng Gao, Qingyan Meng, Linlin Zhang, Xinli Hu, Die Hu, Jiangkang Qian

“…Based on z-scores and multiscale geographically weighted regression models, heat anomaly changes and transfer patterns of different land uses in cities with varying degrees of pandemic impact and drivers were estimated. …”
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Altered Intrinsic Coupling between Functional Connectivity Density and Amplitude of Low-Frequency Fluctuation in Mild Cognitive Impairment with Depressive Symptoms by Xiaozheng Liu, Jiuzun Chen, Bangli Shen, Gang Wang, Jiapeng Li, Hongtao Hou, Xingli Chen, Zhongwei Guo, Chuanwan Mao

“…We used resting-state functional magnetic resonance imaging to explore the intrinsic coupling patterns between the amplitude and synchronisation of low-frequency brain fluctuations using the amplitude of low-frequency fluctuations (ALFF) and the functional connectivity density (FCD) in 16 patients who had mild cognitive impairment with depressive symptoms (D-MCI) (mean age: 69.6 ± 6.2 years) and 18 patients with nondepressed mild cognitive impairment (nD-MCI) (mean age: 72.1 ± 9.7 years). …”
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Sodium glucose co-transporter 2 inhibitors (SGLT2i) for pediatric kidney disease: the future is near by Gilda M. Portalatin, Irene Hong-McAtee, Irene Hong-McAtee, Anna M. Burgner, Edward R. Gould, Tracy E. Hunley, Tracy E. Hunley

“…The limited data for SGLT2i treatment in pediatric kidney disease are reviewed and highlight the need for randomized controlled trials of this drug class in pediatric kidney patients as has been done for pediatric diabetes. Dosing patterns for SGLT2 inhibitors from other pediatric settings are reviewed as well as guidance for initiating SGLT2 inhibition in young adults remaining in pediatric nephrology care.…”
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Prenatal Detection of Silver–Russell Syndrome: A First Trimester Suspicion and Diagnostic Approach by Slavyana Galeva, Giuliana Diglio, Boris Stoilov, Ekaterina Uchikova, Lucian Pop

“…<i>Conclusions:</i> This case underscores the importance of the early recognition of atypical growth patterns, the integration of advanced genetic testing, and multidisciplinary counseling to guide parental decision-making and improve outcomes.…”
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<i>Candida auris</i> Antifungal Resistance, Virulence and Susceptibility to a Novel Nitric Oxide-Releasing Microparticle and Its Correlations to Clade Identification by Alessandro F. Valdez, Flora Bohner, Joshua P. Goldman, Ali B. Jaquiery, Eduardo V. C. do Amaral, Dario Correa-Junior, Andrew Draganski, Leonardo Nimrichter, Joshua D. Nosanchuk, Daniel Zamith-Miranda

“…Our findings were then correlated to visualize parallels between clade identification and resistance/virulence patterns.…”
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Young urban people’s impulsive online shopping behavior and its financial literacy by Bagong Suyanto, Nadia Egalita, Rahma Sugihartati, Siti Mas’udah, Pingkan Sekar Savira, Claudia Anridho, Nur Syamsiyah

“…This study aims to analyze the factors that attract young people as digital product consumers to shop online, and how far online shopping triggers impulsive shopping patterns and becomes a youth lifestyle. This study also examines the extent of financial literacy of young people as consumers of digital economic products. …”
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Exploring imitation of within hand prehensile object manipulation using fMRI and graph theory analysis by Werner Krammer, John H. Missimer, Vanessa Vallesi, Manuela Pastore-Wapp, Georg Kägi, Roland Wiest, Bruno J. Weder

“…A video guided the 26 healthy, right-handed volunteers through the three phases of the task: (1) fixation of a hand holding a cuboid, (2) observation of the sensori-motor manipulation, (3) imitation of that motor action. fMRI recorded the task; graph analysis of the acquisitions revealed the associated functional cerebral connectivity patterns. Inferred from four 60 ROI weighted graphs, the functional connectivities are consistent with a motor plan for observation and manipulation in the left hemisphere and with a network in the right hemisphere involving the inferior frontal gyrus, the site of intentional control of imitation. …”
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Azoxystrobin hides the respiratory failure of low dose sulfoxaflor in bumble bees by Margret Jürison, Kaarel Pent, Risto Raimets, Sigmar Naudi, Marika Mänd, Reet Karise

“…Due to variable interactive effects on survival, our findings reveal distinct effects on bumble bee metabolic rate and respiratory patterns induced by sulfoxaflor in combination with azoxystrobin, shedding light on previously unexplored aspects of its physiological impact. …”
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The Role of Big Data Analytics in Revolutionizing Diabetes Management and Healthcare Decision-Making by Muhammad Nauman, Ahmad S. Almadhor, Mohammed Albekairi, Ali R. Ansari, Muhammad A. B. Fayyaz, Raheel Nawaz

“…To address this challenge, Big Data Analytics (BDA), the systematic process of examining large and complex datasets to uncover hidden patterns, correlations, and insights for informed decision-making, has emerged. …”
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Detection and Prevention of Man-in-the-Middle Spoofing Attacks in MANETs Using Predictive Techniques in Artificial Neural Networks (ANN) by Robert A. Sowah, Kwadwo B. Ofori-Amanfo, Godfrey A. Mills, Koudjo M. Koumadi

“…The performance of the ANN as a predictive technique for attack detection, isolation, and reconfiguration was measured on a dataset with network-varied traffic conditions and mobility patterns for multiple attacks. With a final detection rate of 88.235%, this work not only offered a productive and less expensive way to perform MITM attacks on simulation platforms but also identified time as a crucial factor in determining such attacks as well as isolating nodes and reconfiguring the network under attack. …”
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Historical shoreline analysis in selected areas on the east coast of Albay, Philippines by Antonino B. Mendoza Jr., Joshua K. B. Bista, Skorzeny C. De Jesus, María Luisa U. Tango

“…Findings revealed that areas distant from river mouths exhibited severe erosion, while those near river mouths showed mixed erosion and deposition patterns. Natural processes, including storm surges and sediment transport, were compounded by human activities such as sand mining, urban expansion, and coastal road constructions, resulting in the degradation, fragmentation and loss of vital coastal ecosystems. …”
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