Strontium Promotes the Proliferation and Osteogenic Differentiation of Human Placental Decidual Basalis- and Bone Marrow-Derived MSCs in a Dose-Dependent Manner by Yi-Zhou Huang, Cheng-Guang Wu, Hui-Qi Xie, Zhao-Yang Li, Antonietta Silini, Ornella Parolini, Yi Wu, Li Deng, Yong-Can Huang

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The Near Point of Convergence in Patients with Vestibular Migraine by Francisco Carlos Zuma e Maia, Bernardo Faria Ramos, Roseli Saraiva Moreira Bittar, Renato Valerio Rodrigues Cal, Leonel Almeida Luís, Pedro Luiz Mangabeira Albernaz

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中国植物油料进口依赖及进口安全研究 Import dependence and import safety of oilseeds in China by 曹冲1，2，杨桔1，袁国军1，2 CAO Chong1,2，YANG Ju1，YUAN Guojun1,2

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The Effect of Fe Doping on the Magnetic and Magnetocaloric Properties of Mn5−xFexGe3 by Jeffrey Brock, Nathanael Bell-Pactat, Hong Cai, Timothy Dennison, Tucker Fox, Brandon Free, Rami Mahyub, Austin Nar, Michael Saaranen, Tiago Schaeffer, Mahmud Khan

“…For x≤0.15, all compounds exhibit nearly the same magnetic entropy change of ~7 J/kg K, for a field change of 50 kOe. However, the magnitude of the refrigerant capacities increased with Fe doping, with values up to 108.5 J/kg and 312 J/kg being observed for field changes of 20 kOe and 50 kOe, respectively. …”
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Multi-channel microelectrode arrays for detection of single-cell level neural information in the hippocampus CA1 under general anesthesia induced by low-dose isoflurane by Ruilin Hu, Penghui Fan, Yiding Wang, Jin Shan, Luyi Jing, Wei Xu, Fan Mo, Mixia Wang, Yan Luo, Ying Wang, Xinxia Cai, Jinping Luo

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Identification of Adulterated Deer Blood Crystals in Traditional Chinese Medicine Based on MALDI-TOF MS Peptide Fingerprints Technique by Shen-xing WANG, Ling CAO, Qing HUANG, Cong-yu MA, Jian-bin PAN, Hao-dong ZHAO, Hai-wei SHI, Bin DI, Hong-yuan CHEN

“…Then, the mass spectrometry data were combined with UNIFI software and Uniprot database to accurately select a set of characteristic peptides that can reflect the differences between the target proteins, which was achieved by examining the presence of candidate characteristic peptides in the samples, as well as considering parameters such as the response, missed cut rate, and detection rate. …”
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Molecular Phylogeny and Morphology Reveal Four New Species of <i>Conocybe</i> (Bolbitiaceae, Agaricales) from the Qinghai-Xizang Plateau, China by Xi-Xi Han, Dorji Phurbu, Bin Cao, Jia-Xin Li, Xin-Yu Zhu, Lin-Hui Liu, Naritsada Thongklang, Kevin D. Hyde, Rui-Lin Zhao

“…Seven species were identified, including four new species: <i>C. alticola</i>, <i>C. alticoprophila</i>, <i>C. versicolor</i>, and <i>C. yadongensis</i>. …”
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Development of Genome-Wide Unique Indel Markers for a Heat-Sensitive Genotype in Wheat (<i>Triticum aestivum</i> L.) by Huijie Zhai, Kunpeng Xu, Meng Wang, Zhenchuang Wang, Ziyang Cai, Ao Li, Anxin He, Xiaoming Xie, Lingling Chai, Mingjiu Liu, Xingqi Ou, Zhongfu Ni

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Machine learning helps reveal key factors affecting tire wear particulate matter emissions by Zhenyu Jia, Jiawei Yin, Tiange Fang, Zhiwen Jiang, Chongzhi Zhong, Zeping Cao, Lin Wu, Ning Wei, Zhengyu Men, Lei Yang, Qijun Zhang, Hongjun Mao

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Effectiveness of antimicrobial agent combinations against carbapenem-producing Klebsiella pneumoniae with KPC variants in China by Congcong Liu, Congcong Liu, Yuchen Wu, Yanyan Zhang, Zelin Yan, Danxia Gu, Danxia Gu, Hongwei Zhou, Ning Dong, Chang Cai, Gongxiang Chen, Rong Zhang

“…The fractional inhibitory concentration (FIC) indexes were calculated for each combination of antimicrobial agents.ResultsThe distribution of carbapenemases in 44 CRKP strains was as follows: KPC variants (n = 13, 29.5%), KPC-2 (n = 10, 22.7%), metallo-β-lactamases (n = 9, 20.5%), OXA-48-like (n = 12, 27.3%). …”
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Altered Atlas of Exercise-Responsive MicroRNAs Revealing miR-29a-3p Attacks Armored and Cold Tumors and Boosts Anti-B7-H3 Therapy by Jie Mei, Zhiwen Luo, Yun Cai, Renwen Wan, Zhiwen Qian, Jiahui Chu, Yaying Sun, Yuxin Shi, Ying Jiang, Yan Zhang, Yongmei Yin, Shiyi Chen

“…Mechanistically, miR-29a-3p targeted macrophages, fibroblasts, and tumor cells to down-regulate B7 homolog 3 (B7-H3) expression. Single-cell RNA sequencing (scRNA-seq) and cytometry by time-of-flight (CyTOF) demonstrated that miR-29a-3p attacked the armored and cold tumors, thereby shaping an immuno-hot tumor microenvironment (TME). …”
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The Association of Thyroid Hormone Changes with Inflammatory Status and Prognosis in COVID-19 by Ceyda Dincer Yazan, Can Ilgin, Onur Elbasan, Tugce Apaydin, Saida Dashdamirova, Tayfun Yigit, Uluhan Sili, Aysegul Karahasan Yagci, Onder Sirikci, Goncagul Haklar, Hulya Gozu

“…Length of hospitalization (p<0.001), rate of oxygen demand (p<0.001), and intensive care unit (ICU) admission (p=0.022) were lower, and none of the euthyroid patients died. 108 (52.6%) patients were classified to have ESS, 57 were classified as mild, and 51 were moderate. …”
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ViT-Based Face Diagnosis Images Analysis for Schizophrenia Detection by Huilin Liu, Runmin Cao, Songze Li, Yifan Wang, Xiaohan Zhang, Hua Xu, Xirong Sun, Lijuan Wang, Peng Qian, Zhumei Sun, Kai Gao, Fufeng Li

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TMT-based quantitative proteomics reveals the genetic mechanisms of secondary hair follicle development in fine-wool sheep. by Li-Xia Qiu, Qian Yu, Hua-Qian Zhou, Wen-Hua Fan, Jing-Jing Zheng, Yong-Lin Yang, Wen-Zhe Zhang, Xin Cao, Hua Yang

“…Focal adhesion, ECM-receptor interaction, and the estrogen signaling pathway all played important roles in secondary hair follicle development. COL1A1, THBS3, ITGA6, COL6A1, and THBS4 were identified as potential candidate proteins in the initiation of secondary hair follicles. …”
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Nineteen years retrospective analysis of epidemiology, antifungal resistance and a nomogram model for 30-day mortality in nosocomial candidemia patients by Zhang Dai, Xuhong Lan, Minjing Cai, Yunhui Liao, Jingwen Zhang, Naifang Ye, Xinxin Lu, Jiajia Wang, Yun Xiao, Yan Zhang, Yihui Yao, Xianming Liang

“…In the training set, the area under curve was 0.866 (95%CI: 0.817-0.916), the optimal cutoff value was 0.617, the sensitivity was 80% and the specificity was 80.4%. …”
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Insulin Sensitivity and Beta-Cell Function Are Associated with Arterial Stiffness in Individuals without Hypertension by Chuchen Meng, Min Sun, Zhixiao Wang, Qi Fu, Mengdie Cao, Zhenxin Zhu, Jia Mao, Yun Shi, Wei Tang, Xiaoping Huang, Yu Duan, Tao Yang

“…We recruited 3137 nondiabetic individuals whose age, body mass index (BMI), glucose levels, blood pressure (BP), lipids, hemoglobin A1C (HbA1c), baPWV, and insulin levels were measured. …”
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A large histological images dataset of gastric cancer with tumour microenvironment annotation for AI by Shenghan Lou, Jianxin Ji, Huiying Li, Xuan Zhang, Yang Jiang, Menglei Hua, Kexin Chen, Kaiyuan Ge, Qi Zhang, Liuying Wang, Peng Han, Lei Cao

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Development and validation of a novel artificial intelligence algorithm for precise prediction the postoperative prognosis of esophageal squamous cell carcinoma by Zichen Wang, Zhihan Xiao, Tongyu Zhang, Meiyou Lu, Hai Li, Jing Cao, Jianan Zheng, Yichan Zhou, Juncheng Dai, Cheng Wang, Liang Chen, Jing Xu

“…The AUC for PPMESCC was 0.9828 (95% confidence interval: 0.9608 to 0.9926), with an accuracy of 98.32% (95% CI: 96.64–99.16%) in the discovery cohort and 0.9057 (95% CI: 0.8897 to 0.9583) of AUC with an accuracy of 90% (95% CI: 89.08–93.28%) in validation cohort. …”
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Development and Validation of a Nomogram for Predicting Mortality in Patients with Atrial Fibrillation and Acute Coronary Syndrome Who Underwent Percutaneous Coronary Intervention... by Can Hua, Haitao Tian, Yubin Wang, Jianyong Zheng, Pengfei Liu, Boyang Zhang, Nannan Wang, Haihong Tang, Feng Wang, Xiufeng Xie, Haifeng Yuan, Tianchang Li

“…In the validation cohort, the C-index of the nomogram for predicting all-cause death was 0.706 (95% CI 0.601-0.811), with no significant differences compared with GRACE and CRUSADE, but better than that of CHA2DS2-VASc and HAS-BLED. …”
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Engineering of l-threonine and l-proline biosensors by directed evolution of transcriptional regulator SerR and application for high-throughput screening by Wei Pu, Jinhui Feng, Jiuzhou Chen, Jiao Liu, Xuan Guo, Lixian Wang, Xiaojia Zhao, Ningyun Cai, Wenjuan Zhou, Yu Wang, Ping Zheng, Jibin Sun

“…In this study, a novel transcriptional regulator-based biosensor for l-threonine and l-proline was successfully developed, inspired by our new finding that SerE can export l-proline in addition to the previously known l-threonine and l-serine. …”
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