CECT-Based Radiomic Nomogram of Different Machine Learning Models for Differentiating Malignant and Benign Solid-Containing Renal Masses by Qian L, Fu B, He H, Liu S, Lu R

“…Lu Qian,1,* BinHai Fu,2,* Hong He,2 Shan Liu,1 RenCai Lu2 1Department of Pathology, the First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, 650032, People’s Republic of China; 2Department of Nuclear Medicine, The First People’s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, 650032, People’s Republic of China*These authors contributed equally to this workCorrespondence: RenCai Lu, Department of Nuclear Medicine, The First People’s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming, Yunnan, 650032, People’s Republic of China, Tel +86 087163614503, Email lrc_09@126.comObjective: This study aimed to explore the value of a radiomic nomogram based on contrast-enhanced computed tomography (CECT) for differentiating benign and malignant solid-containing renal masses.Materials and Methods: A total of 122 patients with pathologically confirmed benign (n=47) or malignant (n=75) solid-containing renal masses were enrolled in this study. …”
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Danggui-Shaoyao-San Can Ameliorate Alzheimer’s Disease by Inhibiting Hippocampal Neuron Apoptosis: Findings from Serum Pharmacology by Zhang KX, Zhang JW, Jiang YH, Wang YR, Liu ZL, Ding PL, Wang XY, Cui WQ, Xu XQ, Wang YH

“…Kai-Xin Zhang,1 Ji-Wei Zhang,2 Yan-Hong Jiang,1 Yi-Ran Wang,1 Zhen-Ling Liu,1 Peng-Li Ding,1 Xiang-Ying Wang,1 Wen-Qiang Cui,3 Xiang-Qing Xu,3,* Ya-Han Wang3,* 1First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250000, People’s Republic of China; 2College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, 250000, People’s Republic of China; 3Department of Neurology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiang-Qing Xu, Ya-Han Wang; Department of Neurology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250000, People’s Republic of China, Email happyxiangqing@163.com; sdwangyahan@sina.comBackground: Danggui-Shaoyao-San (DSS) is a traditional Chinese medicine prescription with a history of nearly 2000 years, originally widely used for gynecological diseases, and in recent years research has found that DSS also has a good therapeutic effect on Alzheimer’s disease (AD).Purpose: The objective is to investigate the metabolic components of the DSS in the blood and the potential mechanisms for AD.Materials and Methods: Liquid chromatography‒mass spectrometry (LC-MS) combined with gas chromatography‒mass spectrometry (GC-MS) based non-targeted metabolomics were used to conduct in-depth research. …”
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A Case of Superficial Mycoses in a Patient with Systemic Lupus Erythematosus by Li Z, Lu J, Yang Z

“…Zhen Li, Jiejie Lu, ZhiLi Yang Plastic and Cosmetic Center, The Fifth People’s Hospital of Hainan Province, Haikou, Hainan, People’s Republic of ChinaCorrespondence: ZhiLi Yang; Jiejie Lu, Email 316940160@qq.com; lujiejie677@163.comAbstract: Superficial mycoses are characterized by the infection of keratinized tissues such as the epidermis, hair, and nails. …”
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Intelligent diagnosis and prediction of pregnancy induced hypertension in obstetrics and gynecology teaching by integrating GA by Xiaolan Li, Xiaolan Li, Xiaolan Li, Fen Kang, Fen Kang, Fen Kang, Xiaojing Li, Xiaojing Li, Xiaojing Li

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Assessment of Knowledge Gaps in Cervical Cancer Screening and HPV Vaccination Among Chinese Women: A Comprehensive Population-Based Study by Huang X, Ruan G, Sun P

“…Xinxin Huang,1 Guanyu Ruan,2 Pengming Sun2 1The Ministry of Health, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province, People’s Republic of China; 2Laboratory of Gynecologic Oncology, Fujian Clinical Research Center for Gynecologic Oncology, Fujian Matermity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province, People’s Republic of ChinaCorrespondence: Guanyu Ruan; Pengming Sun, Email ruangy_fjsfy@163.com; sunfemy@hotmail.comBackground: While studies on cervical cancer screening (CCS) and human papillomavirus (HPV) vaccine uptake exist in China, few have examined both within populations participating in CCS programs.Methods: This cross-sectional, population-based survey included 37,797 women aged 18– 64 years attending gynecological outpatient clinics. …”
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Development tools of territories in Russia: an analytical review by A. K. Perevozchikova

“…The objectives of this work are next: to conduct a comparative characterization of territorial development tools by 7 indicators, to calculate the percentage of IRT in each macroregion and district, to study foreign experience in implementing tools on the example of the People’s Republic of China, to develop proposals for improving IRT in Russia. …”
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Construction and Validation of a Model for Predicting Fear of Childbirth: A Cross-Sectional Population Study via Machine Learning by Zhang ZL, Chen KJ, Chen H, Zhu MM, Gu JJ, Jiang LS, Zheng L, Zhou SG

“…Zhi-Lin Zhang,* Kang-Jia Chen,* Hui Chen,* Miao-Miao Zhu, Jing-Jing Gu, Li-Shuai Jiang, Lan Zheng, Shu-Guang Zhou Department of Gynecology and Obstetrics, Maternal and Child Medical Center of Anhui Medical University, The Fifth Affiliated Clinical College of Anhui Medical University, Anhui Women and Children’s Medical Center, Hefei, Anhui, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shu-Guang Zhou, Email zhoushuguang@ahmu.edu.cn; Lan Zheng, Email zhenglan2022@163.comBackground: Fear of childbirth (FOC) is a psychological state of fear and distress that pregnant women experience when they approach labor. …”
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The System of Sociocultural Adaptation of Foreign Students at Leading Russian Universities (On the Example of Azerbaijani and Chinese Students) by V. Yu. Ledеneva, R. Abdullaev, L. Guseynova

“…To achieve an accurate result, we conducted a survey of international students from the Republic of Azerbaijan and the People’s Republic of China studying at Russian universities. 107 students in total (45% Azerbaijani students and 55% Chinese students) from leading Moscow universities participated in the questionnaire-based survey, the age cohort of respondents ranged from 21 to 35 years. …”
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Stellar Streams Reveal the Mass Loss of Globular Clusters by Yingtian Chen, Hui Li, Oleg Y. Gnedin

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Asymmetries and Circumstellar Interaction in the Type II SN 2024bch by Jennifer E. Andrews, Manisha Shrestha, K. Azalee Bostroem, Yize Dong, Jeniveve Pearson, M. M. Fausnaugh, David J. Sand, S. Valenti, Aravind P. Ravi, Emily Hoang, Griffin Hosseinzadeh, Ilya Ilyin, Daryl Janzen, M. J. Lundquist, Nicolás Meza, Nathan Smith, Saurabh W. Jha, Moira Andrews, Joseph Farah, Estefania Padilla Gonzalez, D. Andrew Howell, Curtis McCully, Megan Newsome, Craig Pellegrino, Giacomo Terreran, Patrick Wiggins, Brian Hsu, Collin T. Christy, Noah Franz, Xiaofeng Wang, Jialian Liu, Liyang Chen

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The MBH–M∗ Relation up to z ∼ 2 through Decomposition of COSMOS-Web NIRCam Images by Takumi S. Tanaka, John D. Silverman, Xuheng Ding, Knud Jahnke, Benny Trakhtenbrot, Erini Lambrides, Masafusa Onoue, Irham Taufik Andika, Angela Bongiorno, Andreas L. Faisst, Steven Gillman, Christopher C. Hayward, Michaela Hirschmann, Anton Koekemoer, Vasily Kokorev, Zhaoxuan Liu, Georgios E. Magdis, Alvio Renzini, Caitlin Casey, Nicole E. Drakos, Maximilien Franco, Ghassem Gozaliasl, Jeyhan Kartaltepe, Daizhong Liu, Henry Joy McCracken, Jason Rhodes, Brant Robertson, Sune Toft

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No Galaxy-scale [C ii] Fast Outflow in the z = 6.72 Red Quasar HSC J1205–0000 by Mahoshi Sawamura, Takuma Izumi, Kouichiro Nakanishi, Takeshi Okuda, Michael A. Strauss, Masatoshi Imanishi, Yoshiki Matsuoka, Yoshiki Toba, Hideki Umehata, Takuya Hashimoto, Shunsuke Baba, Tomotsugu Goto, Toshihiro Kawaguchi, Kotaro Kohno, Dragan Salak, Taiki Kawamuro, Kazushi Iwasawa, Masafusa Onoue, Chien-Hsiu Lee, Kianhong Lee

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