Detailed biogeographical mapping as a useful novel tool for the conservation of endemic taxa: a case of study for Iberian orchids [version 2; peer review: 2 approved] by Angel Penas, Alejandro González-Pérez, Raquel Alonso-Redondo, Norma Yolanda Ochoa-Ramos, Aitor Álvarez-Santacoloma, Sara del Río, Giovanni-Breogán Ferreiro-Lera

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TUM4Health, a holistic student health promotion program. Screening of cardiovascular risk factors in university students by Klaus Christian Haggenmüller, Barbara Reiner, Renate Maria Oberhoffer, Nils Olson, Jochen Weil, Thorsten Schulz

“…We found 6% of the female subgroup in an underweight status. …”
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Impact of gender on the prognosis of carotid body tumor after surgical resection by Huanrui Hu, Yuwei Xiang, Bin Huang, Ding Yuan, Yi Yang, Jichun Zhao

“…Results A total of 326 patients (66.6% were females) were included. Males developed larger CBTs than females (4.3 ± 1.8 cm vs. 3.8 ± 1.4 cm, P = .003). …”
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Development of a respiratory virus risk model with environmental data based on interpretable machine learning methods by Shuting Shi, Haowen Lin, Leiming Jiang, Zhiqi Zeng, ChuiXu Lin, Pei Li, Yinghua Li, Zifeng Yang

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Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities by Munya A. Arasi, Hussah Nasser AlEisa, Amani A. Alneil, Radwa Marzouk

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Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological Specimens by Merryn V. E. Macville, Jeroen A. W. M. Van der Laak, Ernst J. M. Speel, Nir Katzir, Yuval Garini, Dirk Soenksen, George McNamara, Peter C. M. de Wilde, Antonius G. J. M. Hanselaar, Anton H.N. Hopman, Thomas Ried

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Procedure Time for Gastric Endoscopic Submucosal Dissection according to Location, considering Both Mucosal Circumferential Incision and Submucosal Dissection by Hironori Konuma, Kenshi Matsumoto, Hiroya Ueyama, Hiroyuki Komori, Yoichi Akazawa, Misuzu Ueyama, Yuta Nakagawa, Takashi Morimoto, Tsutomu Takeda, Kohei Matsumoto, Daisuke Asaoka, Mariko Hojo, Akihito Nagahara, Takashi Yao, Akihisa Miyazaki, Sumio Watanabe

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Efficacy of CTPV for Diagnostic and Therapeutic Assessment: Comparison with Endoscopy in Cirrhotic Patients with Gastroesophageal Varices by Zijin Cui, Haiqing Yang, Xiaoxu Jin, Huiqing Jiang, Wei Qi, Wenfeng Feng, Zhijie Feng

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Comprehensive Complication Index Predicts Cancer-Specific Survival of Patients with Postoperative Complications after Curative Resection of Gastric Cancer by Ru-Hong Tu, Jian-Xian Lin, Ping Li, Jian-Wei Xie, Jia-Bin Wang, Jun Lu, Qi-Yue Chen, Long-long Cao, Mi Lin, Chao-Hui Zheng, Chang-Ming Huang

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Convolutional neural networks for accurate real-time diagnosis of oral epithelial dysplasia and oral squamous cell carcinoma using high-resolution in vivo confocal microscopy by Rishi S. Ramani, Ivy Tan, Lindsay Bussau, Lorraine A. O’Reilly, John Silke, Christopher Angel, Antonio Celentano, Lachlan Whitehead, Michael McCullough, Tami Yap

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A survey of MRI-based brain tissue segmentation using deep learning by Liang Wu, Shirui Wang, Jun Liu, Lixia Hou, Na Li, Fei Su, Xi Yang, Weizhao Lu, Jianfeng Qiu, Ming Zhang, Li Song

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Mental Health Services for Serious Mental Illness: Scoping Review of Randomised Controlled Trials by Pablo Roson Rodriguez, Xiao Chen, Marcelo Arancibia, Eva Madrid, Farhad Shokraneh, Clive E. Adams, Juan Víctor Ariel Franco

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Deep Learning-based Artificial Intelligence in Audio based Analysis of Swallowing using Cervical Auscultation by Salloum Hazem, Graf Simone, Schilling Berit, Richter Lena, Jeleff-Wölfler Olivia, Feussner Hubertus, Ostler Daniel, Wilhelm Dirk, Fuchtmann Jonas

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Concept, features and types of corruption by L. I. Kalienichenko, D. V. Slynko

“…The method of classification was used in the process of dividing the concept of “corruption” into types. …”
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Study on sedimentary organic facies of coal-measure source rocks in Shuixigou Group, Taibei Sag, Tuha Basin by Hao LIANG, Tanguang FAN, Zhiyong WANG, Shu TAO, Yijie WEN, Haitian ZHENG, Zijian ZHANG

“…The organic facies of lacustrine with strong water coverage and high vitrinites have a large organic abundance and exhibit the highest hydrocarbon potential, with TOC contents ranging from 5.05 % to 18.31 % and S1+S2 values from 6.35 to 20.93 mg/g, and vitrinites exceeding 80%. …”
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Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction by Gregor Kohls, Erik M. Elster, Peter Tino, Graeme Fairchild, Christina Stadler, Arne Popma, Christine M. Freitag, Stephane A. De Brito, Kerstin Konrad, Ruth Pauli

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Characterization of adult T-cell leukemia/lymphoma patients with specific skin lesions in a tertiary dermatological service in Brazil by Mariana Valente, José Antonio Sanches, Youko Nukui, Jade Cury-Martins, Bruno Castro Souza, Juliana Pereira, Denis Miyashiro

“…The median age at diagnosis was 59.4 years. Classification at diagnosis was: 16 (36.4%) chronic (93.7% unfavorable, 6.2% favorable), 14 (31.8%) acute, 10 (22.7%) smoldering, four (9.1%) lymphoma, and none with primary cutaneous tumoral. …”
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Regulatory problems and developmental psychopathology within the first 2 years of living—a nested in cohort population-based study by Janni Ammitzbøll, Janni Ammitzbøll, Anne Lise Olsen, Susanne Landorph, Christian Ritz, Anne Mette Skovgaard, Anne Mette Skovgaard

“…Children with RP of feeding and eating showed an increased risk of overall mental disorder, adjusted OR 1.4 (95% CI: 0.7–2.4), and specifically, feeding and eating disorders, adjusted OR 6.0 (95% CI: 1.6–21.7), disorders of behavior and emotions, adjusted OR 2.2 (95% CI: 0.9–5.8), as well as DC:0-3R regulatory disorders, adjusted OR 1.6 (1.0–7.5). …”
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Diagnostics and treatment of cardiac achalasia and cardiospasm: guidelines of the Russian gastroenterological association by V. T. Ivashkin, A. S. Trukhmanov, E. A. Godzhello, I. V. Mayev, Yu. V. Evsyutina, T. L. Lapina, O. A. Storonova

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Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various mach... by Hanlin Wang, Yuan Hong, Zimo Zhang, Kang Cheng, Bo Chen, Renquan Zhang

“…Among the prognostic models based on whole-lung imaging features, the AdaBoost model also performed well, but its AUC value was below 0.6 in the external validation set, indicating overall classification performance still inferior to the KNN model based on erector spinae features.ConclusionThis study is the first to introduce erector spinae imaging features into lung cancer research, successfully developing a stable and well-performing prediction model for the postoperative survival of NSCLC patients. …”
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