Lichen Planus: A Cross-Sectional Evaluation of US Dermatologists’ Comorbidity Screening and Management Patterns by Savanna I. Vidal, Nikita Menta, Adam Friedman

“…This study aimed to explore dermatology practitioners’ comorbidity screening patterns and treatment practices for management of LP. …”
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Inhibition and Reduction of Biofilm Production along with Their Antibiogram Pattern among Gram-Negative Clinical Isolates by Ojaswee Shrestha, Nabina Shrestha, Sadhana Khanal, Sushant Pokhrel, Sujina Maharjan, Tika Bahadur Thapa, Puspa Raj Khanal, Govardhan Joshi

“…Isolates forming biofilm had a higher resistance rate and β-lactamase production compared to biofilm nonproducers. …”
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Automatic Identification of Weave Patterns of Checked and Colored Fabrics Using Optical Coherence Tomography by Metin Sabuncu, Hakan Ozdemir, Mete U. Akdogan

“…Identifying the weave pattern of fabrics can be done manually or automatically. …”
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Prescription patterns of traditional Chinese medications and potential consequences in patients with new-onset cardiac or vascular-related diseases: a nationwide cohort study by Sheng-Shing Lin, Hsin-Hui Tsai, Daniel Hsiang-Te Tsai, Chiu-Lin Tsai, Nanae Itokazu, Jaung-Geng Lin, Edward Chia-Cheng Lai, Hsiang-Wen Lin, Yu-Chang Hou

“…Abstract Background The patterns of Chinese medicine prescriptions, corresponding diagnoses, co-morbidities, and Western medication (WM) use among patients with cardiac or vascular-related diseases are uncertain. …”
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Reirradiation practices of Radiation Therapists (RePoRT) study by Neva Pang, Alvin Cuni, Amanda Caissie, Leigh Conroy, Aileen Duffton, Winnie Li, Brian Liszewski, Donna H. Murrell, Andrea Shessel, Fátima Silva, Yat Tsang, Michael Velec

“…The 48-item questionnaire asked RTTs the frequency of performing a range of reirradiation activities, to self-rate their competency levels, and to identify enablers and barriers to reirradiation practice. …”
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Different Cytokine and Chemokine Expression Patterns in Malignant Compared to Those in Nonmalignant Renal Cells by Nadine Gelbrich, Hannes Ahrend, Anne Kaul, Lars-Ove Brandenburg, Uwe Zimmermann, Alexander Mustea, Martin Burchardt, Denis Gümbel, Matthias B. Stope

“…Caki-1 and 786-O cells exhibited significantly increased proliferation rates, whereas RCC4 and A498 cells demonstrated attenuated proliferation, compared to nonmalignant RC-124 cells. …”
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Global health burden and inequality patterns of occupational noise exposure from 1990 to 2019 by Yifei Wang, Nan Zhang, Xiangxi Li, Wenrui Du, He Wang, Xuepeng Shi

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Patterns and trends of pediatric and young adult computed tomography use in Brazil: 2008-2014 by Ana Cristina Murta Dovales, Tainá Olivieri Chaves, Paulo Roberto Valle Bahia, Marcela Brisighelli Schaefer, Bruna Bonaventura Failla, Lisa Suzuki, Marcelo Valente, Vinicius de Araújo Gomes, Luiz Antônio Ribeiro da Rosa, Mark Stephen Pearce, Lene Holanda Sadler Veiga

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In vitro antimicrobial susceptibility patterns of Propionibacterium acnes isolated from patients with acne vulgaris by Indu Biswal, Rajni Gaind, Neeraj Kumar, Srujana Mohanty, Vikas Manchanda, Niti Khunger, Ramesh V, Monorama Deb

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Pattern-Based Feature Extraction for Improved Deep Learning in Financial Time Series Classification by Seyed Ali Hosseini, Francesco Grimaccia, Alessandro Niccolai, Silvia Trimarchi

“…By collecting tick-by-tick data from the European Carbon Emission Allowance market and resampling it to a 15-minute timeframe, we developed a method to detect pivotal price patterns and extract relevant features. Integrating these features with traditional open, high, low, close, and volume (OHLCV) data in long-short-term memory (LSTM) and gated recurrent unit (GRU) combined with dense neural networks, our empirical results demonstrate significant improvements in model performance, showcasing enhanced accuracy compared to models using only traditional data features.…”
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Genetic Profile and Symptom Pattern Explain Variability of Deep Brain Stimulation Effect in Dystonia by Mahboubeh Ahmadipour, Luigi M. Romito, Antonio E. Elia, Nico Golfré Andreasi, Roberto Eleopra, Alberto Mazzoni, Fabiana Colucci

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Perimesencephalic Subarachnoid Hemorrhage Bleeding Patterns Are Not Always Benign: Prognostic Impact of an Aneurysmal Pathology by Emily Hoffmann, Công Dùy Bui, David Ventura, Manfred Musigmann, Alexandra Valls Chavarria, Markus Holling, Vivek S. Yedavalli, Jeremy J. Heit, Christian Paul Stracke, Tobias D. Faizy, Hermann Krähling, Burak Han Akkurt

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The pattern of lung function tests in children with sickle cell disease: A case-control study. by Abinaya Kannan, Gaurav Sarnaik, Nikita Agarwal, Atul Jindal

“…<h4>Conclusions</h4>Children with SCD often exhibit restrictive, obstructive, or mixed pulmonary function patterns. FeNO levels donot correlate with PFT severity.…”
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Comprehensive genomic study of Plasmodium falciparum in Sierra leone: genetic variation and resistance patterns by Xin-jie Zhan, Shen-Bo Chen, Tian-yu Wang, Yi-wen Duan, Hai-Mo Shen, Jun-Hu Chen, Jing-jing Xie

“…Sierra Leone, with year-round transmission of malaria, continues to experience high infection rates, largely due to P. falciparum. Although genomic databases have provided valuable insights into malaria transmission patterns, drug resistance, and population structure, data from Sierra Leone has been limited. …”
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Acclimatization response to a short-term heat wave during summer in lactating Brown Swiss and Holstein Friesian cows by Aristide Maggiolino, Lucrezia Forte, Alessandra Aloia, Umberto Bernabucci, Erminio Trevisi, Cristina Lecchi, Fabrizio Ceciliani, Geoffrey E. Dahl, Pasquale De Palo

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Structural background of intraspecific color polymorphism and the driver of geographic patterns in a shining leaf chafer by Yuanyuan Lu, Alexander Kovalev, Lulu Li, Chuchu Li, Xinyi Zhu, Min He, Xingke Yang, Ming Bai, Stanislav N. Gorb

“…Results Here we studied the distribution pattern of color phenotypes in the beetle Popillia mutans (Insecta: Coleoptera: Rutelinae). …”
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STUDYING OF DUAL DEEP PERIOCULAR PARTS FOR PERSONS RECOGNITION by Safa N. H. Al-Moktar, Raid Al-Nima

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Evaluation of soil quality and analysis of drivers of different vegetation patterns in the loess region of Northern Shaanxi by Youfu Wang, Fangfang Qiang, Guangquan Liu, Changhai Liu, Jie Gao, Ning Ai

“…The results revealed that (1) the maximum water holding capacity (MWHC), capillary water holding capacity (CWHC), total porosity (TCP), soil organic carbon (SOC), quick acting phosphorus (AP), C/P, and C/N of the PTF sample were significantly greater than those of the other vegetation models, and the maximum water holding capacity (MWHC), capillary water holding capacity (CWHC), soil organic carbon (SOC), total nitrogen (TN), and total phosphorus (TP) of the MAF sample site were significantly lower than those of the other sample sites, while soil bulk density (BD) was significantly higher than other sample sites. (2) According to the principal component analysis of the 16 physical and chemical indicators, the eigenvalues of the first four principal components were 1, and the cumulative contribution rate reached 77.482%, which effectively included the information of the original variables. (3) The soil qualities of the different vegetation types in the loess area of northern Shaanxi were ranked as follows: PTF (0.534) > SLP (0.494) > SF (0.462) > MF1 (0.430) > HPF (0.423) > BLF (0.420) MF2 > (0.415) > MAF (0.389). (4) SEM revealed that soil quality drivers varied among vegetation patterns, but soil organic carbon (SOC), as the main influencing factor, positively affected all vegetation. …”
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COVID-19 Organ Injury Pathology and D-Dimer Expression Patterns: A Retrospective Analysis by Raluca Dumache, Camelia Oana Muresan, Sorina Maria Denisa Laitin, Nina Ivanovic, Adina Chisalita, Alexandra Herlo, Adelina Marinescu, Elena Voichita Lazureanu, Talida Georgiana Cut

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Cross-User Electromyography Pattern Recognition Based on a Novel Spatial-Temporal Graph Convolutional Network by Mengjuan Xu, Xiang Chen, Yuwen Ruan, Xu Zhang

“…The ablation experiments show that each functional module of the proposed CNN-MSTGCN network has played a more or less positive role in improving the performance of EMG pattern recognition. The user-independent recognition experiments and the transfer learning-based cross-user recognition experiments verify the advantages of the proposed CNN-MSTGCN network in improving recognition rate and reducing user training burden. …”
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