Assessment of The Factors Affecting Management of Gender and Sexual Violence Against Women in Rural Communities: A Case Study of Kyanamira Sub County Kabale District. by Tumuheki, Timothy

“…With the following summarized Sexual and Gender violence issues were locally addressed to LC courts whenever domestic resolving of such matters failed while most LC courts discriminated against women than males despite females reporting more of the SGBV cases. …”
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Seasonal Variations in the Structure and Function of the Gut Flora in Adult Male Rhesus Macaques Reared in Outdoor Colonies by Longbao Lv, Feiyan Zhang, Haimei Zhou, Wenxian Xiao, Yingzhou Hu, Wenchao Wang, Zhu Zhu, Fangming Zhu, Dongdong Qin, Xintian Hu

“…The phyla Firmicutes and Bacteroidetes and the genus <i>Prevotella 9</i> were the significantly dominant groups in all 120 fecal samples from the rhesus monkeys. A linear discriminant analysis (LDA) effect size (LEfSe) analysis (LDA > 4) indicated that at the phylum level, Firmicutes was significantly enriched in winter, Bacteroidetes was significantly enriched in summer, and Proteobacteria and Campylobacter were significantly enriched in spring. …”
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Reticulocyte hemoglobin content: a new frontier in iron deficiency diagnostics for major surgical patients by Suma Choorapoikayil, Mischa J. Kotlyar, Lisa Kawohl, Paul P. Pratz, Denana Mehic, Peter Kranke, Florian Rumpf, Lea V. Blum, Jan A. Kloka, Kai Zacharowski, Vanessa Neef, Patrick Meybohm

“…The ROC curve analysis revealed an AUC of 0.842 (95% CI (0.82–0.87)) at Ret-He cutoff 33.5 pg, by which IDA was discriminated with 69.7% (95% CI (65.3–74.0%)) sensitivity and 85.7% (95% CI (82.3-86.1%)) specificity. …”
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Assessing the role of genotype by environment interaction of winter wheat cultivars using envirotyping techniques in North China by Haiwang Yue, Yanbing Wang, Zhaoyang Chen, Jiashuai Zhu, Partha Pratim Behera, Pengcheng Liu, Haoxiang Yang, Jianwei Wei, Junzhou Bu, Xuwen Jiang, Xuwen Jiang, Wujun Ma

“…Feixiang and Shenzhou were identified as the most discriminative and representative locations.DiscussionThese findings provide a scientific basis for optimizing winter wheat cultivation strategies in northern regions. …”
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Fusion of EEG and EMG signals for detecting pre-movement intention of sitting and standing in healthy individuals and patients with spinal cord injury by Chenyang Li, Chenyang Li, Yuchen Xu, Tao Feng, Tao Feng, Minmin Wang, Minmin Wang, Minmin Wang, Xiaomei Zhang, Li Zhang, Li Zhang, Ruidong Cheng, Weihai Chen, Weihai Chen, Weidong Chen, Weidong Chen, Shaomin Zhang, Shaomin Zhang, Shaomin Zhang, Shaomin Zhang

“…Pairwise spatial filters were then designed to extract discriminative spatial network topologies. Each filter paired with a support vector machine classifier to classify future movements into one of three classes: sit-to-stand, stand-to-sit, or rest. …”
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Deciphering the therapeutic effects of Xiyanping injection: insights into pulmonary and gut microbiome modulation, SerpinB2/PAI-2 targeting, and alleviation of influenza a virus-in... by Tengwen Liu, Shuping Li, Xuerui Wang, Mingjiang Liu, Yuchen Wang, Jie Ying, Shuwen Zhang, Yan Lin, Ning Wang, Yungjing Bai, Lan Xie, Tengfei Chen, Quansheng Feng, Xiaolong Xu

“…The diversity of the pulmonary and gut microbiota was altered slightly after XYP injection. The linear discriminant analysis of the gut microbes revealed a higher proportion of potentially beneficial bacteria, including Akkermansia, Parabacteroides goldsteinii, Defluviitaleaceae, Oscillospirales, and Eubacterium_coprostanoligenes_group characterized the XYP group. …”
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Evaluation of health care providers’ ability to identify patient-ventilator triggering asynchrony in intensive care unit: a translational observational study in China by Shengjun Liu, Zhangyi Zhao, Xiangyu Chen, Yi Chi, Siyi Yuan, Fuhong Cai, Zhangwei Song, Yue Ma, Huaiwu He, Longxiang Su, Yun Long

“…A self-innovate Remote-VentlateView platform was used to discriminate the patient-ventilator triggering asynchrony. …”
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Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

“…BOO model 3 continuously showed a high discriminative ability, whereas the DU, DO main and DO SA2 models showed moderate discriminative performance. …”
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Niacin alters ruminal microbial composition and metabolites in sheep fed a high-concentrate diet by Zhiqiang Cheng, Jiancheng Liu, Yingying Yu, Wentao Liu, Xiaobin Li, Fengming Li, Changjiang Zang, Kailun Yang

“…The concentrations of NH3-N (p &lt; 0.01), propionate (p &lt; 0.01), and butyrate (p &lt; 0.05) in the NA group were significantly higher than those in the CON group. (3) Compared to the CON group, the ruminal pyruvate content in the NA group was significantly increased at 0 h before feeding (p &lt; 0.05), and lactic acid (p &lt; 0.05) was significantly decreased at 1 and 3 h after feeding, lactate dehydrogenase activities was significantly decreased (p &lt; 0.01) at 3 and 5 h after feeding. (4) The number of specific operational taxonomic units (OTUs) in the CON and NA groups were 26 and 37, respectively, for a total of 1,178 OTUs; principal coordinate analysis (R2 = 0.172, p-value = 0.007) and non-metric multidimensional scaling (stress = 0.1646) results showed that the two groups of samples were significantly separated. (5) The species distribution bar graph shows that at the phylum level, the relative abundances of Bacteroidetes, Firmicutes, and Proteobacteria were 43.70, 36.25, and 12.77%, respectively. (6) Orthogonal projection to latent structure-discriminant analysis results showed that the two groups of samples were clearly separated in the positive and negative ionization modes, with R2Y and Q2Y values of 0.705, 0.857, 0.695, and 0.28, respectively. …”
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Diagnostic Value of Measurements of Median Nerve Diameter at the Site of the Maximal Stenosis in Carpal Tunnel Syndrome by Fryźlewicz A, Rusin G, Rudnicki W, Ułamek-Kozioł M, Antczak J

“…Both SI diameter and SI CSA were higher in patients, however the discriminative effect of SI CSA was stronger. SI diameter, SI CSA, CSA at the inlet and DMS correlated with the electrodiagnostic severity grade of CTS. …”
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Identification of multiple complications as independent risk factors associated with 1-, 3-, and 5-year mortality in hepatitis B-associated cirrhosis patients by Duo Shen, Ling Sha, Ling Yang, Xuefeng Gu

“…Eight machine learning techniques were employed to construct predictive models, including C5.0, linear discriminant analysis (LDA), least absolute shrinkage and selection operator (LASSO), k-nearest neighbour (KNN), gradient boosting decision tree (GBDT), support vector machine (SVM), generalised linear model (GLM) and naive Bayes (NB), utilising variables such as medical history, demographics, clinical signs, and laboratory test results. …”
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Impact of hepatic steatosis on the efficacy of antiviral treatment for chronic hepatitis B and the establishment of predictive model: a cohort study by Guanghui Ren, Kaining Jia, Shi Yin, Yunpeng Guan, Qingwei Cong, Ying Zhu

“…The model demonstrated strong discriminative power, calibration, and clinical relevance. …”
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Synthesizing field plot and airborne remote sensing data to enhance national forest inventory mapping in the boreal forest of Interior Alaska by Pratima Khatri-Chhetri, Hans-Erik Andersen, Bruce Cook, Sean M. Hendryx, Liz van Wagtendonk, Van R. Kane

“…Among the various topographic factors, we found that elevation was the most important factor for discriminating all forest types. In addition, we found that canopy height and vegetation indices including Photochemical Reflectance Index (PRI) (R531 &amp; R570), Pigment Specific Normalized Difference (PSND) (R635 &amp; R800), and Gitelson and Merzlyak (GM1) (R550 &amp; R750) were important for differentiating between hardwood and softwood while Anthocyanin Reflectance Index (ARI1) (R550 &amp; R700) was important for differentiating between forest and nonforest. …”
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Consecutive prediction of adverse maternal outcomes of preeclampsia, using the PIERS-ML and fullPIERS models: A multicountry prospective observational study. by Guiyou Yang, Tünde Montgomery-Csobán, Wessel Ganzevoort, Sanne J Gordijn, Kimberley Kavanagh, Paul Murray, Laura A Magee, Henk Groen, Peter von Dadelszen

“…., close to the daily fraction of adverse outcomes, indicating low discriminative capacity). The PIERS-ML model's AUC-PRC peaked on day 0 (0.65), and notably decreased thereafter. …”
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Usability of volatile organic compounds from exhaled breath compared with those from ruminal fluid, serum, urine, and milk to identify diet-specific metabolite profiles in lactatin... by J. Eichinger, A.-M. Reiche, A. Münger, L. Eggerschwiler, G. Pimentel, P. Fuchsmann, K. Huber, F. Dohme-Meier

“…The identified discriminatory VOC seem suitable as markers to discriminate between HD and SIL cows. Exhaled breath may be a promising, sensitive, and less invasive tool to follow diet- and time-related metabolic changes.…”
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Development and validation of the pain management competency scale for nurses and a nationwide survey of Chinese nurses by Yixue Wu, Xiang Pan, Lihui Gu, Yingge Tong, Siyi Chen, Ke Ni, Hangyan Du, Meng Yang, Jianyi Wang, Yi Chen, Yeling Wei, Lingling Luo, Wenqian Cheng

“…The square roots of the AVE values exceeded the inter-factor correlations, indicating good discriminant validity. In the nationwide survey, the average PMCSN score among 1,500 nurses was 101.27 ± 20.97. …”
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Comparison of Field and Virtual Vegetation Surveys Conducted Using Uncrewed Aircraft System (UAS) Imagery at Two Coastal Marsh Restoration Projects by Aaron N. Schad, Molly K. Reif, Joseph H. Harwood, Christopher L. Macon, Lynde L. Dodd, Katie L. Vasquez, Kevin D. Philley, Glenn E. Dobson, Katie M. Steinmetz

“…Graminoid identification mismatches explained a high amount of variance between virtual and field similarity percentages due to the challenge of discriminating between them in a virtual setting. The higher level of detail in Anafi low-altitude imagery proved advantageous for properly identifying lower abundance species. …”
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Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey by Jian Song, Xue Chen, Yuhong Jiang, Jing Mi, Yuyuan Zhang, Yingying Zhao, Xuesen Wu, Huaiquan Gao

“…In addition, it was indicated by the ROC curve analysis that LAP showed a better performance in discriminating IFG risk than BMI in both males (Z=2.20, P=0.028) and females (Z=2.13, P=0.033). …”
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Serum ALT activity and its isoenzymes as potential biomarkers for diagnosis of Sarcopenia in older adults: a retrospective, cross-sectional study by Jiangping Zeng, Nannan Li, Jiaying Ge, Huihui Ma, Siqi Sun, Yujie Jing, Chunhua Qian, Ran Cui, Shen Qu, Hui Sheng

“…According to the ROC curve analysis for discriminating sarcopenia, the performance of Logit_P2 (area under the curve = 0.830) seemed better than that of Logit_P1 (area under the curve = 0.789), although the difference was not statistically significant (p = 0.214). …”
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Validity of a machine learning estimation of blood volumes during altitude training by Basile Moreillon, Bastien Krumm, Lena Mettraux, Julian Wackernell, James Spragg, Martin Faulhaber, Raphael Faiss

“…Conversely, predicted values for Hbmass underestimated the actual gains, indicating that the predictive model may not be sensitive enough to discriminate actual variations due to a prolonged hypoxic expopsure. …”
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