Gas-phase fractionation DDA promotes in-depth DIA phosphoproteome analysis by Zhiwei Tu, Yabin Li, Shuhui Ji, Shanshan Wang, Rui Zhou, Gertjan Kramer, Yu Cui, Fei Xie

“…These libraries are constructed using material-consuming pre-fractionation two dimensional DDA analysis. …”
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Advancing presurgical non-invasive spread through air spaces prediction in clinical stage IA lung adenocarcinoma using artificial intelligence and CT signatures by Guanchao Ye, Guangyao Wu, Yiying Li, Chi Zhang, Lili Qin, Lili Qin, Jianlin Wu, Jun Fan, Yu Qi, Fan Yang, Yongde Liao

“…We utilized the LightGBM algorithm to construct prediction models using the selected features. …”
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Validation of a Questionnaire Assessing Pregnant Women’s Perspectives on Addressing the Psychological Challenges of Childbirth by Mihaela Corina Radu, Mihai Sebastian Armean, Razvan Daniel Chivu, Justin Aurelian, Melania Elena Pop-Tudose, Loredana Sabina Cornelia Manolescu

“…Results: McDonald’s ω, Cronbach’s α, average inter-item correlation, and total item correlations were calculated to assess the consistency of the questionnaire items in measuring the same construct. The three-factor model emerged as the primary structure based on exploratory and confirmatory factor analyses (EFA and CFA). …”
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Development of a Novel Clinical Classification for Radiation-induced Cystitis: The Portuguese Navy Radiation-induced Cystitis (PNRC) Scale by Tiago Ribeiro de Oliveira, Carla D’Espiney Amaro, Sérgio Henriques Pereira, Afonso Sousa Castro, Pedro Gomes Monteiro, João Cardoso Felício, Guilherme Bernardo, João Chambino, José Palma dos Reis, Chandra Shekhar Biyani

“…Conclusions and clinical implications: The PNRC scale showed reliability and face and construct validity in the stratification of RIC severity for clinical cases. …”
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Characteristics of Sluggish Cognitive Tempo among adults with ADHD: objective neurocognitive measures align with self-report of executive function by Beth Krone, Lenard A. Adler, Deepti Anbarasan, Terry Leon, Richard Gallagher, Pooja Patel, Stephen V. Faraone, Jeffrey H. Newcorn

“…The variables were treated with Principal Axis Factoring with Promax with Kaiser Normalization to elucidate latent constructs and determine performance profiles associated with SCT among people with ADHD.ResultsEF Deficits and emotional dyscontrol (ED) symptoms significantly differentiated adults with ADHD and SCT whether measured via self or clinician report. …”
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Cellular heterogeneity and cytokine signatures in acute myeloid leukemia: A novel prognostic model by Jinxia Cao, Bin Hu, Tianqi Li, Dan Fang, ling Jiang, Jun Wang

“…Leveraging this comprehensive dataset, we constructed a prognostic risk score model based on seven pivotal cytokine-related genes: CCL23, IL2RA, IL3RA, IL6R, INHBA, TNFSF15, and TNFSF18. …”
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Multimodel Combination Bathymetry Inversion Approach Based on Geomorphic Segmentation in Coral Reef Habitats Using ICESat-2 and Multispectral Satellite Images by Xiuling Zuo, Juncan Teng, Fenzhen Su, Zhengxian Duan, Kefu Yu

“…Taking 11 coral reefs of Xisha Islands (ocean area of 607 km²) in the South China Sea as the study area, a parametric multimodel combination approach based on geomorphic segmentation (PMCGS) for obtaining bathymetry was constructed by combining the Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) data with Gaofen-1 (GF-1) medium- and Worldview-2/3 (WV-2/3) high-resolution multispectral images. …”
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Community-Based Assessment of Knowledge, Attitudes, and Practices Towards COVID-19: an Epidemiological Survey in Kurdistan Region, Iraq by Zhino Rawf Ali, Bayan Omar Sharif, Aram Salih Mohammed Amin Kamali, Varin Tofiq Abbas, Azad Karim Ahmed, Shaho Osman Mahmood, Chiman Jamal ahmed, Sarwat Ahmed Abdulqader

“…The data were collected during the period of April 4 up to June 2020. A self- constructed questionnaire was used for data collection and it was designed according guidelines, literatures, and articles concerning COVID-19; which consisted of 40 variables. …”
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Nomograms for predicting recurrence of HER2‐positive breast cancer with different HR status based on ultrasound and clinicopathological characteristics by Xudong Zhang, Hanqing Kong, Xiaoxue Liu, Qingxiang Li, Xinran Fang, Junjia Wang, Zihao Qin, Nana Hu, Jiawei Tian, Hao Cui, Lei Zhang

“…Based on these, two separate nomograms were constructed to assess recurrence risk. In the training cohorts, the C‐index was 0.740 (95% CI: 0.667–0.811) for HR−/HER2+ nomogram, and 0.749 (95% CI: 0.679–0.820) for HR+/HER2+ nomogram. …”
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Integration of machine learning and experimental validation to identify the prognostic signature related to diverse programmed cell deaths in breast cancer by Longpeng Li, Longpeng Li, Jinfeng Zhao, Yaxin Wang, Zhibin Zhang, Wanquan Chen, Jirui Wang, Yue Cai

“…The prognostic signature (PCDRS) were constructed by the best combination of 101 machine learning algorithm combinations, and the C-index of PCDRS was compared with 30 published signatures. …”
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Development an Inflammation-Related Factor-Based Model for Predicting Organ Failure in Acute Pancreatitis: A Retrospective Cohort Study by Yunpeng Peng, Xiaole Zhu, Chaoqun Hou, Chenyuan Shi, Dongya Huang, Zipeng Lu, Yi Miao, Qiang Li

“…In addition, a preoperative scoring system (0-11 points) was constructed to predict the organ failure of AP using these three factors. …”
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Identification and Functional Analysis of PANoptosis‐Associated Genes in the Progression From Sepsis to ARDS by Zhong‐Hua Lu, Yan Tang, Hu Chen, Feng Liu, Mei Liu, Lu Fu, Xian‐Kai Wang, Ming‐Juan Li, Wei‐Li Yu, Yun Sun

“…A diagnostic prediction model was constructed based on key PRGs identified through bioinformatics analysis. …”
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Prevalence of and factors associated with symptoms consistent with a diagnosis of irritable bowel syndrome among resident physicians in standardised training in China: a cross-sect... by Xin Wang, Ning Li, Xia Li, Zhigang Li, Jun Zhao, Xuefei Wang, Xin Hao, Jiayi Yang, Junjian Tian

“…Univariate and multivariate logistic regression models were constructed to assess the associations of age, sex, body mass index, stress, depression, anxiety, sleep quality and IBS.Results Of the included resident doctors, 77.2% were female, 20.4% were obese or underweight and 8.6% had symptoms consistent with a diagnosis of IBS. …”
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Assessment of Exercise-Induced Dehydration Status Based on Oral Mucosal Moisture in a Field Survey by Gen Tanabe, Tetsuya Hasunuma, Yasuo Takeuchi, Hiroshi Churei, Kairi Hayashi, Kaito Togawa, Naoki Moriya, Toshiaki Ueno

“…Receiver operating characteristic curves were constructed to ascertain whether variations in oral mucosal moisture content could discern body mass losses (BMLs) of 1.5% and 2%. …”
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Comprehensive analysis reveals cholesterol metabolism-related signature for predicting prognosis and guiding individualized treatment of glioma by Dengfeng Lu, Fei Wang, Yayi Yang, Aojie Duan, Yubo Ren, Yun Feng, Haiying Teng, Zhouqing Chen, Xiaoou Sun, Zhong Wang

“…Firstly, cholesterol metabolism-related gene signatures (CMRGS) were identified and constructed based on difference analysis, least absolute shrinkage and selection operator (LASSO) regression analysis, and univariate/multivariate COX analysis. …”
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Preoperative prediction of pituitary neuroendocrine tumor invasion using multiparametric MRI radiomics by Qiuyuan Yang, Tengfei Ke, Jialei Wu, Yubo Wang, Jiageng Li, Yimin He, Jianxian Yang, Nan Xu, Bin Yang

“…Single radiomics model (T1WI, T2WI, CE-T1) and combined radiomics model (T1WI+T2WI+CE-T1) were constructed respectively. In addition, clinical features were screened to establish clinical model. …”
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Prognostic Value of Cerebrospinal Fluid and Serum Neurofilament Light Chain in Amyotrophic Lateral Sclerosis: A Correlation Study by Siqi Dong, Xiaoni Liu, Yanni Zhou, Jiatong Li, Zihan Qi, Zihan Wang, Wenbo Yang, Xiangjun Chen

“…Employing a Cox regression model, we identified baseline sNfL level (HR = 1.01, p = 0.013), and diagnostic delay (HR = 0.94, p = 0.003) as independent prognostic factors for mortality. Furthermore, we constructed a nomogram model that incorporates both sNfL and pertinent clinical variables, which substantially enhances the accuracy of predicting disease outcomes (Concordance Index, 0.808). …”
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OSBPL3 modulates the immunosuppressive microenvironment and predicts therapeutic outcomes in pancreatic cancer by Qihui Sun, Xiaoqi Zhu, Qi Zou, Yang Chen, Tingting Wen, Tingting Jiang, Xiaojia Li, Fang Wei, Keping Xie, Jia Liu

“…Identifying key factors that regulate the immunosuppressive landscape is crucial for improving treatment strategies. Methods We constructed a prognostic and risk assessment model for pancreatic cancer using 101 machine learning algorithms, identifying OSBPL3 as a key gene associated with disease progression and prognosis. …”
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A fuzzy logic approach within the DPSIR framework to address the inherent uncertainty and complexity of water security assessments by Liang Yuan, Zhijie Zhou, Weijun He, Xia Wu, Dagmawi Mulugeta Degefu, Juan Cheng, Lin Chai, Thomas Stephen Ramsey

“…In this paper, an index system for evaluating and diagnosing water security in the Mekong River Basin (MRB) was constructed based on the DPSIR model. A fuzzy logic evaluation model is established to deal with the nonlinearity and uncertainty of the evaluation index. …”
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Adipose tissue-derived microRNA-450a-5p induces type 2 diabetes mellitus by downregulating DUSP10 by Jiaojiao Zhu, Yanting Hou, Wei Yu, Jingzhou Wang, Xiaolong Chu, Xueting Zhang, Huai Pang, Dingling Ma, Yihan Tang, Menghuan Li, Chenggang Yuan, Jianxin Xie, Cuizhe Wang, Jun Zhang

“…Moreover, the adipose Dicer-knockout mouse model was constructed to identify adipose tissue as the main source of microRNA-450a-5p. microRNA-450a-5p could inactivate the insulin signal pathway by targeting the inhibited Dual Specificity Phosphatase 10 (DUSP10) and inducing IR and glucose metabolism disorders in vitro cultured hepatocytes and adipocytes. …”
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