Prevalence and Clinicopathologic Features of HER2 Overexpression in Endocervical Adenocarcinoma by Niusha Momeni, Fatemeh Nili, Fereshteh Ameli, Soheila Sarmadi, Elham Mirzaian, Farnaz Moravej-Salehi, Narges Zamani

“…The aim of this study was to assess the prevalence and clinicopathological features of HER2 overexpression in ENCA.Method: In this cohort study, 48 ENCA cases were reclassified using the World Health Organization (WHO) classification. Whole-tissue sections were stained for HER2 by immunohistochemistry (IHC) and scored using 2017 American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) protocol (negative= 0, 1+, equivocal= 2+, and positive= 3+). …”
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Rotational Velocities and Radii Estimates of Low-mass Pre-main-sequence Stars in NGC 2264 by Laurin M. Gray, Katherine L. Rhode, Catrina M. Hamilton-Drager, Tiffany Picard, Luisa M. Rebull

“…We present projected rotational velocities ( v sin i values) of 254 T Tauri stars (TTSs) in the ∼3 Myr old open cluster NGC 2264, measured using high-dispersion spectra from the WIYN 3.5 m telescope’s Hydra instrument. …”
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Advancement and independent validation of a deep learning-based tool for automated scoring of nail psoriasis severity using the modified nail psoriasis severity index by Stephan Kemenes, Stephan Kemenes, Liu Chang, Maja Schlereth, Rita Noversa de Sousa, Rita Noversa de Sousa, Ioanna Minopoulou, Pauline Fenzl, Pauline Fenzl, Giulia Corte, Giulia Corte, Melek Yalcin Mutlu, Melek Yalcin Mutlu, Michael Wolfgang Höner, Michael Wolfgang Höner, Ioannis Sagonas, Ioannis Sagonas, Birte Coppers, Birte Coppers, Anna-Maria Liphardt, Anna-Maria Liphardt, David Simon, Arnd Kleyer, Lukas Folle, Michael Sticherling, Michael Sticherling, Georg Schett, Georg Schett, Andreas Maier, Filippo Fagni, Filippo Fagni

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Fever as an initial manifestation of spondyloarthritis: A retrospective study. by Se Jin Byun, William Han Bae, Seung Min Jung, Sang-Won Lee, Yong-Beom Park, Jason Jungsik Song

“…<h4>Results</h4>There were 26 patients who had fever as initial presentation of SpA (reactive arthritis 50%, undifferentiated SpA 26.9%, ankylosing spondylitis 15.4%, enteropathic arthritis 3.8%, psoriatic arthritis 3.8%). Peripheral SpA was more common in febrile SpA patients than in control SpA patients (65.4% vs 24.0%, p<0.001). …”
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Application of Meldonium for the Treatment of Patients with Diabetic Nephropathy by Topchii І.

“…We examined 360 patients with diabetes and DN of I-IV stages by the classification of D. E. Mogensen (1983), mean age of patients 58.6 ± 6.1 years, comparison group – 80 patients with arterial hypertension (AH) of II-III stages of the corresponding age, control group – 20 practically healthy people (26.2 ± 3.4) years old. …”
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Analysis of the Relationship Between Cervical Cancer Progression and the Microbiome by Gao YY, Li XX, Zuo H, Zhang P

“…Microbial DNA was extracted and the V3–V4 region of the 16S rRNA gene was sequenced using the Illumina Novaseq 6000 platform. …”
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GAPS IN THE EDUCATION LEVEL BETWEEN RURAL AND URBAN AREAS IN THE EUROPEAN UNION by Agatha POPESCU, Cristina TINDECHE, Alina MARCUTA, Liviu MARCUTA, Adelaida HONTUS, Carmen ANGELESCU

“…The paper aimed to analyze the education level in the EU rural areas and identified the gaps exiting between different member states compare to the EU average according to ISCED 2011classification mainly for the population aged 15-64 years. …”
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Safety and effectiveness of office hysteroscopic metroplasty with and without uterine stent placement in infertile population: a 10-year retrospective study by Mitko Madjunkov, Jak Ozsarfati, Ari Baratz, Karen Glass, Prati Sharma, Clifford Librach

“…The Congenital Uterine Malformation by Experts (CUME-2018) guideline’s criteria were used for diagnosis and classification of malformation/septum size as 1—arcuate uterus <10 mm (52% (47/90)), 2—septum 10–19 mm (31% (28/90)), 3—septum 20–40 mm (7% (6/90)), and 4—complete septa (10% (9/90)). …”
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Identifying patterns of multimorbidity, polypharmacy and frailty in the elderly: a clustering analysis of baseline data from a French, randomised, controlled trial in primary care by Étienne Audureau, Julien Le Breton, Pascal Clerc, Joël Cogneau, Nadia Oubaya, Aziz Guellich, François Lacoin

“…Of the 2724 patients included, 2651 were analysed.Primary and secondary outcome measures To identify specific patterns of multimorbidity, polypharmacy and frailty, we applied an unsupervised clustering analysis with self-organising maps.Results Seven clusters were identified: cluster 1 (16% of the patients) comprised frail men and women with cardiovascular, respiratory, musculoskeletal and endocrine diseases and marked polypharmacy; cluster 2 (9.3%, mainly men) comprised frail patients with cancer and cardiovascular or urogenital/renal diseases; cluster 3 (15.5%, mainly men) comprised not-very-frail patients with cardiovascular and urogenital/renal diseases; cluster 4 (18.1%) comprised not-very-frail men and women with cardiovascular diseases; cluster 5 (13.5%, mainly women) comprised mainly lonely, very frail patients with hypertension and endocrine, musculoskeletal and neuropsychiatric disorders; cluster 6 (19.1%, mainly women) comprised frail, socially isolated patients with digestive, musculoskeletal and neuropsychiatric diseases; lastly, cluster 7 (8.6%, mainly women) comprised frail, socially isolated patients with hypertension, cancer, or musculoskeletal, psychological and digestive disorders.Conclusion Our phenotypic classification of elderly patients might facilitate efforts to align healthcare services with the care needs that are encountered by GPs in their everyday practice.Trial regestration number (NCT03298386).…”
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Machine learning-based Diagnostic model for determining the etiology of pleural effusion using Age, ADA and LDH by Qing-Yu Chen, Shu-Min Yin, Ming-Ming Shao, Feng-Shuang Yi, Huan-Zhong Shi

“…Abstract Background Classification of the etiologies of pleural effusion is a critical challenge in clinical practice. …”
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Safety and efficacy of add-on intra-arterial thrombolysis after intravenous thrombolysis and mechanical thrombectomy in patients with ischemic stroke and cerebral vessel occlusion by Norma J. Diel, Kai Bernhard Woelk, Anne Mrochen, Oliver Posner, Andre Worm, Omar Alhaj Omar, Christian Claudi, Patrick Schramm, Tobias Struffert, Hagen B. Huttner

“…The primary outcome was not significantly different with a rate of hemorrhagic complications of 3/33 (9%) in the TT group and 4/33 (12%) in the control group (OR 0.725, 95% CI 0.149–3.525). …”
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Prevalence study on the use of antibiotics in a tertiary healthcare facility by Đorđević Zorana, Stojković Milica, Marković Tijana, Marković Vladimir, Simić Jelena, Rakić Violeta

“…Among the 567 patients included in the study, 246 received at least one AM, yielding a prevalence rate of 43.4% (95% confidence interval: 39.3–47.6). The most common indications for AM use were community-acquired infections (54.9%), followed by healthcare-associated infections (19.1%), surgical prophylaxis (20.7%), and medical prophylaxis (3.7%). …”
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Comprehensive analysis of groundwater hydrochemistry and nitrate health risks in the Baiquan basin, Northern China by Bo Li, Di Wu, Dalu Yu, Changsuo Li, Jinxiao Wang, Liting Xing, Shuai Gao, Zhe Zhang, Mingguo Wang, Yuwei Wang

“…Consequently, the hydrochemical type is mainly HCO3-Ca⋅Mg type, with a secondary classification of SO4⋅Cl-Ca ⋅ Mg. …”
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CONTENTS OF CHEMOKINES AND CYTOKINES IN PERITONEAL FLUID FROM THE PATIENTS WITH ENDOMETRIOSIS OF VARIOUS SEVERITY by D. I. Sokolov, P. G. Kondratjeva, M. I. Jarmolinskaja, N. L. Kramareva, A. V. Seljutin, V. V. Rulev, D. A. Niauri, S. A. Selkov

“…Severity grade of endometriosis was estimated according to R-AFS classification. Sampling of peritoneal fluid was carried out when performing surgical laparoscopies. …”
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Multi-Task Water Quality Colorimetric Detection Method Based on Deep Learning by Shenlan Zhang, Shaojie Wu, Liqiang Chen, Pengxin Guo, Xincheng Jiang, Hongcheng Pan, Yuhong Li

“…Additionally, precision improved by 2.8%, recall increased by 3.5%, mAP50 enhanced by 2%, and mAP95 rose by 1.9%. …”
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Long-term results of medical treatment for lower extremity stress fractures by M. S. Ryazantsev, A. R. Zaripov, A. P. Afanasyev, M. N. Maysigov, N. E. Magnitskaya, D. O. Ilyin, A. N. Logvinov, A. V. Frolov, A. V. Korolev

“…Assessing the degree of stress adjustment according to magnetic resonance imaging (MRI), on visiting, in accordance with the classification proposed by E.A. Arendt et al., revealed grades 2, 3, and 4 injuries in 10 (18%), 14 (26%), and 16 (29%) patients, respectively. …”
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New Mitogenomes from the Genus <i>Ablabesmyia</i> (Diptera: Chironomidae, Tanypodiinae): Characterization and Phylogenetic Implications by Wen-Bin Liu, Wen-Xuan Pei, Ya-Ning Tang, Jia-Xin Nie, Wei Cao, Cheng-Yan Wang, Chun-Cai Yan

“…We then performed a comprehensive analysis of the nucleotide composition, sequence length, and evolutionary rate. (3) Results: All newly assembled mitogenomes displayed a negative GC-skew, indicating a cytosine bias, while most exhibited a positive AT-skew, reflecting an adenine and thymine abundance. …”
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Transformed common spatial pattern for motor imagery-based brain-computer interfaces by Zhen Ma, Kun Wang, Minpeng Xu, Minpeng Xu, Minpeng Xu, Weibo Yi, Fangzhou Xu, Dong Ming, Dong Ming

“…To verify its effectiveness, we tested tCSP on a dataset collected by our team and a public dataset from BCI competition III. We also performed an online evaluation of the proposed method.Main resultsAs a result, for the dataset collected by our team, the classification accuracy of tCSP was significantly higher than CSP by about 8% and filter bank CSP (FBCSP) by about 4.5%. …”
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Genetic, phytochemical and morphological identification and genetic diversity of selected Moringa species by Fatma A. Hamada, Saleh S. Sabah, Ehab M.B. Mahdy, Hany S. Abd El-Raouf, Ahmed M. El-Taher, Omneya F.A. El-leel, Ashwaq T. Althobaiti, Mosad A. Ghareeb, Reena Randhir, Timothy O. Randhir

“…Morphological features, phytochemical attributes, and molecular characterization were used for the genetic association and classification among Moringa oleifera, M. peregrina, and M. stenopetala. …”
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Features of pathogenesis and risk factors of in-hospital ischemic stroke by S. V. Kolomentsev, N. V. Tsygan, I. A. Voznyuk, S. N. Yanishevskiy, E. I. Shermatyuk, O. M. Ilyina, I. V. Litvinenko

“…The comorbidity, main and additional risk factors of IHIS in patients of therapeutic (n=112; 44.3%), surgical (n=125; 49.4%) and neurological (n=16; 6.3%) profiles were studied.Results and discussion. …”
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