Results of Preclinical Studies of 4-(2-(4-nitrophenyl)-2-oxoethyl)-1-(thietane-3-yl)-1H-1,2,4-triazole-4-th Bromide in Relation to the Hemostasis System <i>in vivo</i> by Y. Wang, N. R. Bulatova, E. E. Klen, G. A. Rozit, I. L. Nikitina, E. A. Smolyarchuk, K. A. Zavadich, I. D. Krylova, A. V. Samorodov

“…A study was conducted of the effect of 4-(2-(4-nitrophenyl)-2-oxoethyl)-1-(thietan-3-yl)-1H-1,2,4-triazol-4-bromide on the hemostasis system during intravenous and intragastric administration to healthy white non-linear sexually mature male rats (n = 160). Thromboelastography was performed on a TEG 5000 device, activated with a 0.2 M solution of calcium chloride, Born aggregometry and standard clotting tests to assess the coagulation component of hemostasis.Result and discussion. …”
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Exploring machine learning classification for community based health insurance enrollment in Ethiopia by Seyifemickael Amare Yilema, Seyifemickael Amare Yilema, Yegnanew A. Shiferaw, Yikeber Abebaw Moyehodie, Setegn Muche Fenta, Denekew Bitew Belay, Denekew Bitew Belay, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Teshager Zerihun Nigussie, Ding-Geng Chen, Ding-Geng Chen

“…The CBHI were predicted using seven machine learning models: linear discriminant analysis (LDA), support vector machine with radial basis function (SVM), k-nearest neighbors (KNN), classification and regression tree (CART), and random forest (RF). …”
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Study on Point Spread Function of Perovskite Fast Neutron Scintillation Imaging Screen by FENG Zhelin1, LIU Linyue2, , SONG Yan2, DUAN Baojun2, BAO Zizhen3, OUYANG Xiaoping2

“…Perovskite scintillator materials exhibit high hydrogen content, photo yield and linear energy response, rendering them ideal materials for the fabrication of fast neutron radiation imaging screens. …”

Predicting the thickness of alpine meadow soil on headwater hillslopes of the Qinghai-Tibet Plateau by Xiaole Han, Jintao Liu, Pengfei Wu, Zhenghong Yu, Xiao Qiao, Hai Yang

“…To address this, we applied a multi-resolution (0.25–30.00 m) stochastic approach to predict soil thickness in a nested headwater catchment in the Lhasa River Basin, namely D5K (415 sites) and its headwater sub-catchment D5KH1 (330 sites). Using a linear mixed-effects model, we quantified uncertainty through within-site and between-site variance analysis, and compared the performance of deep learning (DL) with three traditional machine learning methods—random forest (RF), support vector machine (SVM), and artificial neural networks (ANN)—under three variable selection strategies: (1) all variables, (2) stepwise selection, and (3) a novel Boruta-based recursive method. …”
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The 3‐triangle method preserves the posterior tibial slope during high tibial valgus osteotomy: first preliminary data using a mathematical model by Manuel Weißenberger, Mike Wagenbrenner, Fritz Schote, Konstantin Horas, Thomas Schäfer, Maximilian Rudert, Thomas Barthel, Tizian Heinz, Stephan Reppenhagen

“…The number of over‐ and under‐corrections did not differ significantly between both groups. Linear regression analysis showed a significant correlation of the postoperative medial proximal tibial angle (MPTA) with the position of the weightbearing line on the tibial plateau. …”
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Association between milk pump type and free fatty acid concentrations on dairy farms with automated milking systems by Hannah M. Woodhouse, Stephen J. LeBlanc, Trevor J. DeVries, Karen J. Hand, David F. Kelton

“…Monthly average milk composition data surrounding the farm visit date were obtained from the Dairy Farmers of Ontario and included FFA concentration, milk fat (% weighted volume), milk protein (% weighted volume), and milk shipment volume (L). A linear regression analysis was conducted with monthly average FFA as the outcome and pump type as the explanatory variable of interest, with other factors identified in previous research to be associated with increased FFA accounted for in the model. …”
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Association between arterial stiffness and MASLD in US young adults: base on NHANES 2005-2018 by Qing-zhong Li, Jia-xin Tan, Quan-Zhi Qin, Guo-tian Ruan, Teng Deng, Yi-zhen Gong

“…Restricted cubic splines (RCS) also demonstrated a positive linear correlation between ePWV and MASLD. Sensitivity analysis validated the strong correlation between ePWV and MASLD, while subgroup analysis demonstrated a positive association between ePWV and MASLD across most subgroups (OR > 1). …”
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Children’s birth weight and the risk of general obesity and central obesity in primary school children: a 4-year longitudinal study by Yi Lin, Richard Rankin, Stuart McDonald, Xiao-Yong Li, Feng Wang, Si-Jia Wang, Qing-Hai Gong, Feng Tong

“…The overall rate of OB and central OB at 7–10 years were 10.4 and 28.3%, respectively. Linear-shaped relationships were observed between BW and anthropometric values in both sexes at 7–10 years and 11–13 years. …”
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Statistical and health economic analysis plan for a secure care hospital evaluation of manualised (interpersonal) art-psychotherapy: the SCHEMA randomized controlled trial by Jennifer Condie, Matthew Franklin, Katie Aafjes-van Doorn, Paula Foscarini-Craggs, Iain McKinnon, Toni Leigh Harrison, Arman Iranpour, Ania Zubala, Sophie Rose, Elizabeth Randell, Rachel McNamara, Muhammad Riaz, Simon Hackett

“…The primary outcome is the frequency/severity of aggressive behaviour, measured on the Modified Overt Aggression Scale (MOAS) 19 weeks post-randomisation, analysed using a linear mixed-effect model, adjusted for baseline MOAS and stratification by gender and psychosis diagnosis. …”
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Association between body composition in early pregnancy and the risk of gestational diabetes mellitus by Yan Li, Bin Zhao, Yang Tian, Yang Li, Xia Li, Hongmei Guo, Li Xiong, Jiaying Yuan

“…RCS analysis indicated that the risk of GDM continuously increased with higher levels of PBF and FM, whereas it decreased with FFM and LM (p-overall &lt; 0.001, p-non-linear range: 0.073–0.924). These findings provide important threshold values in predicting GDM risk, specifically 24.74% for PBF, 13.13 kg for FM, 39.81 kg for FFM, and 36.74 kg for LM.ConclusionThe risk of GDM is positively associated with PBF and FM whereas negatively associated with FFM and LM.…”
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Hs-CRP/HDL-C ratio as a predictive inflammatory-lipid marker for sarcopenia: evidence from NHANES 2015–2018 by Xin-Yan Guo, Liang-Wen Li

“…RCS model identified a non-linear association, with a threshold effect at a ratio of 0.86. …”
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Wave driven cross shore and alongshore transport reveal more extreme projections of shoreline change in island environments by Richelle U. Moskvichev, Anna B. Mikkelsen, Tiffany R. Anderson, Sean F. Vitousek, Joel C. Nicolow, Charles H. Fletcher

“…CoSMoS-COAST models four key shoreline processes: (1) Alongshore transport, (2) Recession due to sea level rise, (3) Cross-shore transport due to waves, and (4) Residual processes represented by a linear trend term. This study marks the first application of CoSMoS-COAST for an oceanic equatorial island with narrow beaches and a dynamic wave climate. …”
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Over 700 MHz &#x2013;3&#x00A0;dB Bandwidth UOWC System Based on Blue HV-LED With T-Bridge Pre-Equalizer by Ziying Zhang, Yuanjia Lai, Junlong Lv, Pan Liu, Dongdong Teng, Gang Wang, Lilin Liu

“…Furthermore, the conjunction of the developed HV-LED and T-bridge equalizer endows the merit of a wide linear region of the modulation response, which will make the communication system be more tolerance to LED&#x0027;s degradation and system fluctuations.…”
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Epidemiological survey and analysis of mammalian orthoreovirus 3 in diarrheic pigs from five provinces of east China by QIN Pan, WANG Jingwei, WANG Bin, LEI Ximei, LI Long, HUANG Yaowei

“…The neutralization antibody levels and the anti-σ1 IgG antibody levels of 37 serum samples were determined. A good linear relationship between the anti- σ1 antibodies and virus neutralization (VN) antibodies was observed, demonstrating the correlation between them. …”
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Effect of different hemodialysis modalities on resistin and nutritional status by HUANG Jing-jing, ZHANG Jin-ping, WANG Jia, WANG Xin, WANG Wei-wei, YANG Xiao-ping

“…Objective To investigate the level of resistin in the patients with different hemodialysis modalities and its influence on nutritional status.Methods A total of 55 hemodialysis patients were randomly divided into low flux hemodialysis group(LFHD,n=27)and high flux hemodialysis group(HFHD,n=28),and compared with 30 healthy volunteers(normal control group).All of them were selected as the study objects in the First Affiliated Hospital of Shihezi University.The levels of serum resistin before and after dialysis were determined by enzymelinked immunosorbent assay(ELISA).Fasting samples of venous blood were obtained in 55 hemodialysis patients before dialysis and the following biochemical indexes were measured:for nutrition index,total protein(TP),albumin(Alb),prealbumin(PA),hemoglobin(Hb);for inflammation indicators,C reactive protein(CRP),ferritin(Fer);for blood lipids,serum total cholesterol(TC),triglyceride(TG),low density lipoprotein(LDL),high density lipoprotein(HDL);for renal function and electrolyte,renal urea nitrogen(BUN),serum creatinine(SCr),uric acid(UA),kalium(K),calcium(Ca),phosphorus(P),magnesium(Mg).The differences in resistin levels and biochemical indexes were compared between the two groups.All of the patients underwent subjective comprehensive nutritional assessment by specially-assigned person and according to the guidelines,at the same time the clinical data of the subjects were collected.The changes of resistin levels in each dialysis group were analyzed and their relationships with the above biochemical indexes were analyzed.Results(1)As compared with the normal control group,the resistin level in LFHD group and HFHD group was significantly increased.There was no statistically significant difference between LFHD group and HFHD group in the level of pre-dialysis resistance and the level of resistin.There was no significant difference in resistin level between LFHD group and HFHD group before and after dialysis.There were statistically significant differences in the level of resistin before and after dialysis in HFHD group.(2)The differences in Alb,PA and SGA in patients undergoing different hemodialysis methods were statistically significant.As compared with LFHD group,HFHD group had higher Alb and PA but lower SGA scores;(3)Single factor analysis revealed that serum resistin was positively correlated with SCr and CRP(r=0.768,and r=0.473,P<0.05),and negatively correlated with glomerular filtration rate(eGFR)(r=-0.813,P<0.05).Serum resistin was positively correlated with TC,TG,LDL and SGA(r=0.408,r=0.294,r=0.397,and r=0.286 respectively,P<0.05).(4)Multiple linear regression analysis demonstrated that eGFR and CRP had influence on the level of resistin,and the dialysis mode had no significant effect on it.Conclusions High flux dialysis may eliminate some of the resistin.Resistin in hemodialysis patients is closely related to their nutritional status.…”
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Exposure to polycyclic aromatic hydrocarbons and bone mineral density in children and adolescents: results from the 2011–2016 National Health and Nutrition Examination Survey by Peng Zhang, Shuailei Li, Hao Zeng, Yongqiang Sun

“…We examined the associations between urinary hydroxylated-PAHs (OH-PAHs) and lumbar spine BMD, pelvic BMD, and total BMD among 8–19 years participants (N = 1,332) of the 2011–2016 National Health and Nutrition Examination Survey.MethodsWeighted linear regressions were employed to assess the associations between urinary OH-PAHs and BMD. …”
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An Australian Value Set for the EQ-5D-Y-3L by Tianxin Pan, Bram Roudijk, Nancy Devlin, Brendan Mulhern, Richard Norman

“…Results In total, 268 individuals participated in the cTTO interviews, and 1002 completed the DCE. The linear mapping without intercept performed best and was selected as the final value set. …”
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A Novel SERS Silent-Region Signal Amplification Strategy for Ultrasensitive Detection of Cu²⁺ by Jiabin Su, Kaixin Chen, Ping Zhou, Nan Li

“…Experimental results demonstrated this SERS sensor possesses significant merits towards the determination of Cu²⁺ in terms of high selectivity, broad linear range from 1 nM to 1 mM, and low limit of detection (0.1 nM) superior to other reported colorimetric, fluorescence, and electrochemical methods. …”
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Evaluation of Coalbed Methane Content by Using Kernel Extreme Learning Machine and Geophysical Logging Data by Jianhong Guo, Zhansong Zhang, Guangshan Guo, Hang Xiao, Linqi Zhu, Chaomo Zhang, Xiao Tang, Xueqing Zhou, Yanan Zhang, Can Wang

“…However, the complex logging response of the CBM reservoirs makes it difficult to characterize the relationship between the gas content and the logging curve response by a simple linear relationship. In this paper, kernel extreme learning machine (KELM), a machine learning method, is combined with the geophysical logging data to predict the vertical variation curve of gas content in CBM wells. …”
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Rheological blood properties in psoriatic arthritis: relationship with inflammation and cardiovascular risk by T V Korotaeva, E Y Loginova, D S Novikova, K V Esakova, N V Klimova, A A Novikov, E N Alexandrova, E L Nasonov, N N Firsov

“…Main measures of erythrocyte aggregation (EA) including Kt (c-1) – total speed of erythrocytes aggregates formation, T (c) – time of linear erythrocytes aggregates formation, I2,5 [%] – parameter characterizing durability of most large erythrocytes aggregates, β (c-1) – hydrodynamic durability of erythrocytes aggregates were evaluated in erythroaggregometer by registration of intensity of inverse light scattering from blood sample. …”
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