Unmasking MRSA antibiotic resistance: the impact of environment, pollution, and healthcare quality—a nationwide exploration in China: a comprehensive analysis spanning 2014 to 2021... by Yi-Chang Zhao, Ming-Xuan Xiao, Zhi-Hua Sun, Jia-Kai Li, Huai-yuan Liu, Bi-Kui Zhang, Hua-Lin Cai, Wei Cao, Feng Yu, Miao Yan

“…However, there is a lack of comprehensive studies on the prevalence, patterns, and contributing factors of MRSA resistance within mainland China. …”
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The mental health impact of COVID-19: the need for community interventions and collaboration for recovery by Nadarajah Rajeshkannan, Daya Somasundaram, Balachandran Kumarendran, Thirunavukarasu Kumanan, Ivan Dinesh Aloysius, Nalayini Sugirthan, Sivanantham Sasikumar, Nalayini Jegathesan

“…In the general population, common consequences included common mental health disorders, changing patterns of substance abuse particularly alcohol, and increased domestic violence. …”
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Fishing on Facebook: Using Social Media and Citizen Science to Crowd-Source Trophy Murray Cod by Matthew O’Connell, Dirk Spennemann, Jennifer Bond, R. Keller Kopf, Nicole McCasker, Paul Humphries

“…Formal and informal historical animal records can be used to inform past biological, ecological, and environmental patterns and processes. Trophy specimens are cultural and social objects but also are examples of informal historical records that may supply biological tissue and supplement formal natural history collections. …”
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Single-cell and spatial characterization of plasmablast-like lymphoma cells in primary central nervous system lymphoma by Hiroki Kobayashi, Ryota Chijimatsu, Yusuke Naoi, Yoshihiro Otani, Ryo Mizuta, Kentaro Fujii, Joji Ishida, Hiroyuki Murakami, Hideki Ujiie, Kazuhiro Ikeuchi, Tomohiro Urata, Keisuke Seike, Hideaki Fujiwara, Noboru Asada, Nobuharu Fujii, Ken-ichi Matsuoka, Yasuharu Sato, Yoshinobu Maeda, Daisuke Ennishi

“…Spatial analysis additionally revealed several localization patterns of PBL signature subpopulations within the tissue, indicating spatial heterogeneity. …”
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A Feasibility Analysis of Wind Energy Potential and Seasonal Forecasting Trends in Thatta District: A Project to Combat the Energy Crisis in Pakistan by Jahangeer Khan Bhutto, Zhijun Tong, Tayyab Raza Fraz, Mazhar Baloch, Haider Ali, Jiquan Zhang, Xingpeng Liu, Yousef A. Al-Masnay

“…Box–Jenkins ARIMA and SARIMA models were applied to predict future wind patterns. This study revealed that Thatta district experienced sufficient wind speeds during the study period, with averages of 9.7 m/s, 7.6 m/s, 7.4 m/s, and 4.8 m/s for summer, autumn, spring, and winter, respectively. …”
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Discrete Fractional-Order Modeling of Recurrent Childhood Diseases Using the Caputo Difference Operator by Yasir A. Madani, Zeeshan Ali, Mohammed Rabih, Amer Alsulami, Nidal H. E. Eljaneid, Khaled Aldwoah, Blgys Muflh

“…Numerical simulations demonstrate the model’s effectiveness in capturing realistic scenarios, particularly the recurrent patterns observed in some childhood diseases.…”
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Composite Study of Relationships Between the Characteristics of Atlantic Cold Tongue: Onset, Duration, and Maximum Extent by Dianikoura Ibrahim Koné, Adama Diawara, Benjamin Komenan Kouassi, Fidele Yoroba, Kouakou Kouadio, Assi Louis Martial Yapo, Touré Dro Tiemoko, Mamadou Diarrassouba, Foungnigué Silué, Arona Diedhioune

“…After calculating the start and end dates of the ACT each year, this study investigates potential relationships between early or late onset that may be linked to the maximum duration and extent of the ACT, which is known to influence weather patterns and precipitation in surrounding regions and the West African Monsoon System. …”
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Treatment Effects of Upper Limb Action Observation Therapy and Mirror Therapy on Rehabilitation Outcomes after Subacute Stroke: A Pilot Study by Yu-Wei Hsieh, Yu-Hsuan Lin, Jun-Ding Zhu, Ching-Yi Wu, Yun-Ping Lin, Chih-Chi Chen

“…Action observation therapy and mirror therapy, two promising rehabilitation strategies, are aimed at enhancing the motor learning and functional improvement of stroke patients through different patterns of visual feedback and observation. Objective. …”
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Integrated analysis of transcriptome, sRNAome, and degradome involved in the drought-response of maize Zhengdan958 by Yang Shuqiong, Liu Jiafei, Cao Lingling, Chen Jibao, Duan Pengfei

“…The integrated multi-omics analysis revealed that five DEmiRNA–mRNA pairs displayed negatively correlated expression patterns, which were also verified by qRT-PCR. Tissue-specific expression profile and regulatory network analysis revealed that miR528a/b-Zm00001d021850, miR408a/b-Zm00001d020794, and miR164e-Zm00001d003414 might be essential in root-specific drought stress response of maize Zhengdan958 seedlings. …”
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A Deep Learning-Based Approach for the Detection of Various Internet of Things Intrusion Attacks Through Optical Networks by Nouman Imtiaz, Abdul Wahid, Syed Zain Ul Abideen, Mian Muhammad Kamal, Nabila Sehito, Salahuddin Khan, Bal S. Virdee, Lida Kouhalvandi, Mohammad Alibakhshikenari

“…Leveraging advanced deep learning methods, specifically Convolutional Neural Networks (CNNs), XIoT analyzes spectrogram images transformed from IoT network traffic data to detect subtle and complex attack patterns. Unlike traditional approaches, XIoT emphasizes interpretability by integrating explainable AI mechanisms, enabling cybersecurity analysts to understand and trust its predictions. …”
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Discovery of the bacterial HslV protease activators as lead molecules with novel mode of action by Aurangzeb Sana, Aurongzeb Muhammad, Shamim Shahbaz, Rashid Yasmeen, Khan Khalid Mohammed, Aziz Tariq, Alharbi Metab, Alasmari Abdullah F.

“…Four dihydropyrimidone derivatives have been identified as potential activators of HslV protease exhibiting high docking scores, favorable binding patterns, and significant in vitro activation capabilities. …”
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Design of an Iterative Model for Incremental Enhancements in Quantum Image Processing Using Reinforcement Learning-Based Optimizations by Lalitha Kumari Pappala, Sai Babu Veesam, Kannaiah Chattu, Janapati Venkata Krishna, Jyostna Devi Bodapati, B. Tarakeswara Rao

“…Q-SVM-EFE is a Quantum Support Vector Machine-based framework that incorporates advanced feature extraction to map classical image data into high-dimensional quantum states, which should capture intricate patterns and therefore be more accurate for classification. …”
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Influence of human peripheral blood samples preprocessing on the quality of Hi-C libraries by M. M. Gridina, E. Vesna, M. E. Minzhenkova, N. V. Shilova, O. P. Ryzhkova, L. P. Nazarenko, E. O. Belyaeva, I. N. Lebedev, V. S. Fishman

“…The genome-wide variant of the chromatin conformation capture technique (Hi-C) is a powerful tool for revealing patterns of genome spatial organization, as well as for understanding the effects of their disturbance on disease development. …”
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Parametric Design and Mechanical Characterization of a Selective Laser Sintering Additively Manufactured Biomimetic Ribbed Dome Inspired by the Chorion of Lepidopteran Eggs by Alexandros Efstathiadis, Ioanna Symeonidou, Emmanouil K. Tzimtzimis, Dimitrios Avtzis, Konstantinos Tsongas, Dimitrios Tzetzis

“…Quasi-static compression testing was carried out in conjunction with finite element analysis (FEA) to investigate the deformation patterns and stress dispersion of the models. The biomimetic ribbed dome appears to significantly dampen the snap-through behavior that is observed in typical solid and lattice domes, decreasing dynamic stresses developed during the response and preventing catastrophic failure of the structure. …”
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Clinical evaluation of long-read sequencing-based episignature detection in developmental disorders by Mathilde Geysens, Benjamin Huremagic, Erika Souche, Jeroen Breckpot, Koenraad Devriendt, Hilde Peeters, Griet Van Buggenhout, Hilde Van Esch, Kris Van Den Bogaert, Joris Robert Vermeesch

“…Results Nanopore sequencing-based methylome patterns were concordant with microarray-based episignatures. …”
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Karhunen–Loeve orthogonal decomposition method for problems of EEG assessment of patients with migraine by Egorov, Evgenij Nikolaevich, Zhuravlev, Maksim Olegovich, Runnova, Anastasia Evgenevna, Evstropov, Maksim Arkad`evich, Redzhepova, Alena Садуллаевна

“…The purpose of this work is to identify patterns in the recordings of electroencephalograms of patients with migraine using the Karhunen–Loeve orthogonal decomposition method. …”
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H3K9 post-translational modifications regulate epiblast/primitive endoderm specification in rabbit blastocysts by Wilhelm Bouchereau, Hong-Thu Pham, Worawalan Samruan, Van-Hong Vu, Thierry Joly, Marielle Afanassieff, Pierre Savatier, Rangsun Parnpai, Nathalie Beaujean

“…These distinct distribution patterns correlate with high expression levels of methyltransferases (EHMT1, EHMT2, SETDB1) and deacetylases (HDAC1, HDAC2, HDAC5) in expanding blastocysts. …”
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The role of VANGL2 in glioma oncogenesis and progression: insights into expression profiles and prognostic relevance by Mingyu Zhao, Mingyu Zhao, Mingyu Zhao, Mingyu Zhao, Shanshuang Chen, Shanshuang Chen, Shanshuang Chen, Shanshuang Chen

“…Our study focused on VANGL2, a core PCP gene, to elucidate its potential mechanistic involvement in cancer development.MethodsA systematic analysis was conducted to assess VANGL2 expression patterns at both transcriptional and proteomic levels. …”
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Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review by Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero

“…Our analysis reveals an evolving landscape of methodological approaches, with different techniques showing distinct capabilities in capturing complex degradation patterns in EV batteries. While recent years have seen increased adoption of DL methods, the effectiveness of different approaches varies significantly based on application context and data characteristics. …”
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Modeling automatic horizontation system of steep-sloping mobile machine with hydraulic sensor roll by V. I. Grishchenko, A. A. Tumakov, M. S. Poleshkin, M. S. Kilina, D. D. Dymochkin

“…The efficiency of the proposed solution is proved by the example of the hydromechanical system of the Don 1200 steep-slope combine, the working ranges of the hydromechanical leveling system and its dynamic qualities were determined. The found patterns reveal the dependencies of: angular and linear displacements of the leveling system; pressure changes in membrane chambers of the roll sensor; fluid flow through the throttle and the displacement of the control valve spool; loads on telescopic chassis hydraulic cylinders; speeds of movement of plungers of hydraulic cylinders of a leveling system. …”
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