Affective-sexual and gender diversity in Spanish education: a systematic literature review by Delfín Ortega-Sánchez, Esther Sanz de la Cal, Jaime Ibáñez Quintana, Eduardo Encabo-Fernández

“…The sensitivity of the content and its curricular invisibility, along with training deficiencies, lack of academic recognition, and the absence of specific protocols for preventing LGBTIQphobia are identified as the most prominent limitations or hurdles for the comprehensive promotion of education pertaining to affective-sexual and gender diversity across distinct educational stages.DiscussionInstances of discrimination, harassment, and both physical and symbolic violence against non-heteronormative groups, grounded in the sex-gender system and cis-heteronormativity, continue to be recognized by educators. …”
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The Role of Phosphatidylethanolamine-N-methyltransferase (PEMT) Gene rs12449964 Polymorphism in the Development of Acute Pancreatitis and its Complications by T. A. Samgina, Yu. E. Azarova, Yu. V. Kanishchev, V. A. Lazarenko, P. M. Nazarenko, A. V. Polonikov

“…Genotyping of rs12449964 polymorphism was performed using real-time PCR by allelic discrimination using a CFX96 Bio-Rad Laboratories amplifier (USA) with TaqMan probes and commercial TaqMan SNP Genotyping Assays reagents purchased from Applied Biosystems (USA).Results. …”
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Pretransplant HbA1c Is a Useful Predictor for the Development of New-Onset Diabetes in Renal Transplant Recipients Receiving No or Low-Dose Erythropoietin by Kazuaki Tokodai, Noritoshi Amada, Izumi Haga, Atsushi Nakamura, Toshiaki Kashiwadate, Naoki Kawagishi, Noriaki Ohuchi

“…Univariate and multivariate logistic regression analyses were used to investigate the association of several parameters with NODAT. Predictive discrimination of HbA1c was assessed using a receiver-operating characteristic curve. …”
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Postpartum haemorrhage following vaginal delivery: a comprehensive analysis and development of predictive models for aetiological subgroups in Chinese women by Hong Lin, Dandan Zhang, Jinke Li, Mengyuan Shao, Xiaoxue Wang, Xueting Chen, Yangzi Zhou, Zixuan Song

“…Our goal was to craft and validate predictive models to guide clinical decision-making and optimise resource allocation.Design A retrospective cohort study.Setting Shengjing Hospital of China Medical University, Liaoning Maternal and Child Health Hospital, and Shenyang Women’s and Children’s Hospital.Participants 29 842 women who underwent vaginal delivery were enrolled in the study across three hospitals from 2016 to 2022.Primary outcome measures PPH, categorised into uterine atony (UA), placental factors (PF), cervical trauma (CT), and coagulation abnormalities (CA) by aetiology.Results The logistic regression for overall PPH and UA-PPH showcased high discrimination (AUCs of 0.807 and 0.794, respectively), coupled with commendable calibration and DCA-assessed clinical utility, culminating in the development of a nomogram for risk prediction. …”
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Composites of Heavy Rain Producing Elevated Thunderstorms in the Central United States by Laurel P. McCoy, Patrick S. Market, Chad M. Gravelle, Charles E. Graves, Neil I. Fox, Scott M. Rochette, Joshua Kastman, Bohumil Svoma

“…What is offered here that is unique is (1) a measure of the interquartile range within the composite mean fields, allowing for discrimination between variable fields that provided a strong reliable signal, from those that may appear strong but possess large variability, and (2) composite soundings of two subclasses of elevated thunderstorms. …”
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Pre-screening of endomysial microvessel density by fast random forest image processing machine learning algorithm accelerates recognition of a modified vascular network in idiopath... by Alessandro Massaro, Gerardo Cazzato, Giuseppe Ingravallo, Nadia Casatta, Carmelo Lupo, Angelo Vacca, Florenzo Iannone, Francesco Girolamo

“…Abstract Biomarkers for discrimination among different subgroups of idiopathic inflammatory myopathies (IIM) are difficult to identify and may involve multiple laboratory tests and time-consuming procedures. …”
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Lighting Spectrum Optimization With Deep Learning for Moss Species Classification by Kenichi Ito, Pauli Falt, Markku Hauta-Kasari, Shigeki Nakauchi

“…For the image classification tasks of five species of Sphagnum, an optimized light source that combines 10 different spectral distributions within 400–800 nm, excluding spectral information at 600–700 nm from the RGB image’s red channel and emphasizing that at 700–800 nm, improved discrimination accuracy by 10% compared with that of images obtained with the D65 sunlight source. …”
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Exploration of different quantitative polymerase chain reaction-based genotyping methods to distinguish Apcmin/+ mice from wildtype mice. by Yuting Sun, Tingyu Zhou, Silin Ye, Effie Yin Tung Lau, Yao Zeng, Jessie Qiaoyi Liang

“…Dye-based qPCR and melting curve assays exhibited distinct dissociation patterns that differentiated between synthesised wildtype (TT) and heterozygous mutant (TA) DNA and between TT and TA genotype mice based on analysis of tissue samples. This discrimination ability of these assays was unaffected by the use of different intercalating dyes (SYBR Green I or EvaGreen). …”
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Immune checkpoint inhibitors-related thyroid dysfunction: influencing factor analysis, prediction model development, and management strategy proposal by Xinya Li, Zaiwei Song, Yixuan Chen, Jingjing Wu, Dan Jiang, Zhen Zhang, Zeyuan Wang, Rongsheng Zhao

“…Subsequently, prediction models for ICI-TD were developed utilizing 11 algorithms based on the real-world cohort data from July 20, 2018 (the approval date of the first ICIs, Pembrolizumab in China), to October 31, 2022. Considering discrimination, calibration, and clinical utility, we selected the model with the best performance for web calculator development. …”
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Atmospheric Deposition: Sampling Procedures, Analytical Methods, and Main Recent Findings from the Scientific Literature by M. Amodio, S. Catino, P. R. Dambruoso, G. de Gennaro, A. Di Gilio, P. Giungato, E. Laiola, A. Marzocca, A. Mazzone, A. Sardaro, M. Tutino

“…Deposition fluxes of POPs showed spatial and seasonal variations, diagnostic ratios of PAHs on deposited particles, allowed the discrimination between pyrolytic or petrogenic sources. …”
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A Nomogram for Predicting Physical Restraint of Patients in Intensive Care Unit by Yun Wang, Ying Liu, Ya-Li Tian, Su-Lian Gu

“…The prediction nomogram model of PR in ICU was established based on age, mobility, delirium, consciousness, RASS score, and mechanical ventilation. It showed good discrimination and accuracy. This nomogram may predict the probability of PR use in the ICU and guide nurses in developing precise interventions to reduce the rate of PR.…”
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Assembly-free reads accurate identification (AFRAID) approach outperforms other methods of DNA barcoding in the walnut family (Juglandaceae) by Yanlei Liu, Kai Chen, Lihu Wang, Xinqiang Yu, Chao Xu, Zhili Suo, Shiliang Zhou, Shuo Shi, Wenpan Dong

“…Specifically, we determined (1) the accuracy of DNA barcoding approaches in delimiting species in Juglandaceae, (2) the minimum size of chloroplast dataset for species discrimination, and (3) minimum amount of next generation sequencing (NGS) data required for species identification. …”
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Tomato Quality during Short-Term Storage Assessed by Colour and Electronic Nose by Valeria Messina, Pía Guadalupe Domínguez, Ana Maria Sancho, Noemi Walsöe de Reca, Fernando Carrari, Gabriela Grigioni

“…Odour profile and senescence parameters were carried out at 7-day intervals. Discriminant function analysis applied to electronic nose data showed three components, accounting for 99.2% of the total variance. …”
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Comparison of 3 Aging Metrics in Dual Declines to Capture All-Cause Dementia and Mortality Risk: Cohort Study by Anying Bai, Shan He, Yu Jiang, Weihao Xu, Zhanyi Lin

“…Cox proportional hazards regression analysis was employed to evaluate the effects of MCR, PCDS, and CF on incident all-cause dementia and mortality, controlling for socioeconomic and lifestyle factors, as well as medical comorbidities. Discrimination analysis was conducted to assess and compare the predictive accuracy of the 3 aging metrics. …”
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Factors Affecting Social Support Status of People Living with HIV/AIDS at Selected Hospitals of North Shewa Zone, Amhara Region, Ethiopia by Elyas Admasu Basha, Behailu Tariku Derseh, Abate Dargie Wubetu, Nigus Alemnew Engidaw, Kefyalew Dagne Gizachew

“…Acquired immunodeficiency was linked with psychosocial problems, whereby stigma and discrimination are the most common. Therefore, this study was aimed at assessing the level of the social support problem in people living with human immunodeficiency virus (PLHIV) and factors associated with it at selected hospitals of North Shewa Zone, Amhara Region, Ethiopia. …”
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Associations of four obesity indices with diabetes mellitus in Korean middle-aged and older adults using the Korean Genome and Epidemiology Study (KoGES) by Yiseul Lee, Nam-Kyoo Lim, Hyun-Young Park

“…Logistic analysis was used to evaluate the association of BMI, WC, WHR, and ABSI with DM, after adjusting for covariates according to sex and age. The integrated discrimination index (IDI) and category-free net reclassification improvement (cfNRI) and area under the curve (AUC) of the receiver operating characteristic (ROC) curve were analyzed by age group to investigate index-specific model performance. …”
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Development and validation of a risk assessment model for predicting the failure of early medical abortions: A clinical prediction model study based on a systematic review and meta... by An-Hao Liu, Bin Xu, Xiu-Wen Li, Yue-Wen Yu, Hui-Xin Guan, Xiao-Lu Sun, Yan-Zhen Lin, Li-Li Zhang, Xian-Di Zhuo, Jia Li, Wen-Qun Chen, Wen-Feng Hu, Ming-Zhu Ye, Xiu-Min Huang, Xun Chen

“…The clinical prediction model exhibited a good discrimination, as validated by external verification (402 patients) with an area under the curve of 0.857 (95% confidence interval 0.804-0.910). …”
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A Multivariate prediction model for amlodipine therapeutic efficacy in pediatric primary hypertension by Yao Lin, Hui Wang, Yaqi Li, Yang Liu, Yanyan Liu, Hongwei Zhang, Yanjun Deng, Lin Shi

“…The baseline data in the two groups were analyzed to identify variables associated with amlodipine treatment responsiveness; furthermore, a nomogram prediction model was established based on those potential predictors derived from multivariate regression analysis. This model’s discrimination and calibration were evaluated by a series of statistical methods and internal validation was done using the bootstrap sampling method (1000 resamples).ResultsEighty-nine patients responded to amlodipine while 76 did not. …”
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68Ga-NOTA-RM26 PET/CT in the evaluation of glioma: a pilot prospective study by Yilin Li, Rongxi Wang, Jingci Chen, Zhaohui Zhu, Yu Wang, Wenbin Ma

“…For primary gliomas, SUVmax had good discrimination for both tumor classifications (P = 0.045) and grades (P = 0.03). …”
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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

“…The Stochastic Gradient Boosting (SGB) model demonstrated the best discrimination and calibration performance, with a C-index of 0.943 and a Brier score of 0.000351. …”
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