Rational management of acute keratoconus by Yu. B. Slonimskiy, A. Yu. Slonimskiy, E. A. Korchuganova

“…In one case, descemetocele with a high risk of perforation was observed. 4 eyes required subtotal PKP. In one case, linear perforation was closed with interrupted sutures. …”
Get full text

Seasonal variation in root water uptake of Paulownia in Eastern Henan Plain based on stable isotopes by LI Jianfei, TIAN Pengying, WANG Na, TANG Wu, OU Huidi, FAN Guoqiang, ZHAO Zhenli, ZHANG Zhihua

“…Spatiotemporal variations in isotopic concentrations across the soil profile were analyzed, from which a multi-source linear mixing model were developed to calculate the contribution of water in different soil depths to the transpiration. …”
Get full text

Fluorescence-guided ureteral identification in robotic surgery for advanced endometriosis: a comparison of junior versus senior surgeons by Linda A. Alpuing Radilla, Qiannan Yang, Daniel Y. Lovell, Tamisa Koythong, Brooke Thigpen, Luis E. Delgadillo Chabolla, Qianqing Wang, Xiaoming Guan

“…However, after adjusting for factors such as history of prior abdominal surgery, cul-de-sac obliteration, and additional procedures (resection of ovarian remnant, bowel shaving, oophorectomy, enterolysis) using multivariable linear regression analysis, no significant difference was observed between the two groups. …”
Get full text

OH 89: A newly described ~1.8-million-year-old hominid clavicle from Olduvai Gorge by Taylor, Catherine E, Masao, Fidelis, Njau, Jackson K, Songita, Agustino Venance, Hlusko, Leslea J

“…Length regression on midshaft size using the extant comparative samples is used to estimate the total length of OH 89. A set of 9 linear measurements are taken from each individual. …”
Get full text

Reveal the mechanism of brain function with fluorescence microscopy at single-cell resolution: from neural decoding to encoding by Kangchen Li, Huanwei Liang, Jialing Qiu, Xulan Zhang, Bobo Cai, Depeng Wang, Diming Zhang, Bingzhi Lin, Haijun Han, Geng Yang, Zhijing Zhu

“…For decoding models, we compared linear and nonlinear methods, including independent component analysis, random forests, and support vector machines, highlighting their capabilities to reveal the intricate mapping between neural activity and behavior. …”
Get full text

A retrospective cohort study investigating the association of postcalving intramammary infection and milk yield, somatic cell count, clinical mastitis, and culling risk in first-la... by A. Singh, H. Somula, M. Wieland

“…Data on monthly test-day milk yield and SCC, as well as on the occurrence of clinical mastitis and culling within the first 100 DIM were retrieved from the farm management software. We used generalized linear mixed models to study the associations of postcalving IMI with milk yield and SCC. …”
Get full text

Effectiveness of direct patient outreach with a narrative naloxone and overdose prevention video to patients prescribed long-term opioid therapy in the USA: the Naloxone Navigator... by Jason M Glanz, Ingrid A Binswanger, Shane R Mueller, Komal J Narwaney, Nicole M Wagner, Stanley Xu, Courtney R Kraus, Kris Wain, Sheila Botts

“…Data were analysed with generalised linear mixed effects and log-binomial regression models.Results There were 519 participants in the intervention arm and 485 participants in the usual care arm. …”
Get full text

Common inflammatory proteins linking frailty and area-level deprivation as key drivers of cardiovascular risk in women by Yu Lin, Panayiotis Louca, Ruth C. E. Bowyer, Afroditi Kouraki, Niccolò Rossi, Mary Ni Lochlainn, Anthony Kelly, Vasileios Georgopoulos, Frances M. K. Williams, Claire J. Steves, Mario Falchi, Ana M. Valdes, Cristina Menni

“…A random forest model with SHapley Additive exPlanations identified shared proteomic markers of frailty and deprivation. Linear mixed models assessed associations between selected proteins, IMD, frailty, and ASCVD score. …”
Get full text

Generation of the First-Order OAM Modes in Ring Fibers by Exerting Pressure Technology by Yu Zhang, Fufei Pang, Huanhuan Liu, Xiangqing Jin, Sujuan Huang, Yingchun Li, Jianxiang Wen, Zhenyi Chen, Min Wang, Tingyun Wang

“…The first-order OAM modes (<inline-formula><tex-math notation="LaTeX">${\rm{L = \pm 1}}$</tex-math> </inline-formula>) can be represented as the linear superposition of the <inline-formula><tex-math notation="LaTeX"> ${\rm{HE}}_{{21}}^{{\rm{even}}}$</tex-math></inline-formula> mode and the <inline-formula><tex-math notation="LaTeX"> ${\rm{HE}}_{{21}}^{{\rm{odd}}}$</tex-math></inline-formula> mode. …”
Get full text

Correlation Analysis of Coagulation and Platelet Parameters with Clinical Outcomes in Rheumatoid Arthritis Patients and the Interventional Effect of Jianpi Huashi Tongluo Formula -... by Wang F, Liu J, Wang Y, Sun Y, Wen J, He M

“…Specific combinations of parameter levels significantly increased the risks of DAS28, SAS, and SDS. RCS revealed non-linear relationships. Mediation analysis indicated that CRP/ESR mediated the relationship between coagulation parameters and disease activity, as well as quality of life. …”
Get full text

The Possible Influence of Atmospheric Circulation and North Atlantic Sea Surface Temperature Anomaly on the Winter Cold Wave Frequency in the Southern China by Feng JIANG, Liping LI

“…Based on the daily minimum temperature station data provided by the National Meteorological Information Centre from 1980 to 2022， the month-by-month reanalysis data of the NCEP/NCAR， and the monthly Sea Surface Temperature （SST） data from the NOAA， by using EOF， simple linear regression and T-N wave flux methods， the main anomalous spatial and temporal characteristics of winter cold wave frequency in the southern China are studied， and the influence mechanisms of atmospheric circulation and winter Atlantic Sea Surface Temperature Anomaly （SSTA） on it are also analyzed.The results show that： （1） The large value areas of winter cold wave frequency are mainly located in the eastern and central of the southern China， with an approximately "inverse C" distribution.There are three main frequency anomalous modes， namely， regionally consistent anomaly， north-south antiphase anomaly and tripole anomaly patterns according to the EOF analysis， among which the regionally consistent anomaly reflects the overall anomalous spatial and temporal characteristics of the winter cold wave frequency in the southern China.（2） The negative phase of the North Atlantic Oscillation （NAO）， the strong Caspian Sea - Tibetan Plateau ridge and the East Asian Trough located to the north and to the east， the weak in the north and strong in the south of the Siberian High， the strong temperate jet and the weak subtropical jet are the key circulation systems affect the winter cold wave frequency in the southern China.The cold air pool is located in the Western Siberia.The high and low level circulation systems cooperate together to make the cold air from Western Siberia move southward to the vicinity of the Caspian Sea， and then transport eastward along the northern side of the Tibetan Plateau， then move southward into the southern China along the eastern side of the Tibetan Plateau， resulting in the increase of the winter cold wave frequency in the whole southern China.（3）In winter， the “+”“-”“+” tripolar SSTA in the North Atlantic can stimulate the -NAO atmospheric circulation anomalies through the exchange of heat fluxes between air and sea and the Rossby wave energy anomalies.The Rossby wave energy propagates from the North Atlantic to East Asia along the south and north two paths， and stimulates the corresponding anomalous waves， which enhance the key circulation systems in the north and south affecting the cold wave frequency in the southern China.When the North Atlantic SSTA exhibits an inverse "C" anomaly in spring， and there is a trend of developing into a “+”“-”“+” tripolar pattern in summer and autumn， the winter cold wave frequency in the southern China can be predicted to more.…”
Get full text

The Impact of Climate Change on the Sustainability of PGI Legume Cultivation: A Case Study from Spain by Betty Carlini, Javier Velázquez, Derya Gülçin, Víctor Rincón, Cristina Lucini, Kerim Çiçek

“…This research sought to assess the sustainability of Faba Asturiana (FA) cultivation under current and future climatic scenarios by establishing generalized linear mixed models (GLMMs). Specifically, it aimed to (1) investigate the effects of significant climatic stressors, including higher nighttime temperatures and extended drought periods, on crop viability, (2) analyze future scenarios based on Representative Concentration Pathways (RCP 4.5 and RCP 8.5), and (3) recommend adaptive measures to mitigate threats. …”
Get full text

Development and validation of methods for quantitative determination of α-solanine, α-chaconine, solanidine in extracts from potato tuber peels BY High-performance liquid chromato... by T. O. Ostrikova, N. G. Bogomolov, P. Yu. Mylnikov, A. V. Shchulkin, I. V. Chernykh

“…The validation was performed according to the following parameters: specificity, analytical range, linearity, correctness, precision and a lower limit of quantification. …”
Get full text

The Impact of Exchange Rate Volatility on the Housing Price Index in Iran: A GMM Time Series Approach by Zana Mozaffari, Salaheddin Manochehri

“…The GMM method is used for linear time-series models to ensure the conditions of moment estimators and incidental properties.   …”
Get full text

A cross-sectional study examining the relationship between the advanced lung cancer inflammation index and prostate cancer by Mengjun Huang, Qiliang Teng, Dong Ning, Tongyu Tong, Fei Cao, Yiting Wang, Hanqi Lei, Jun Pang

“…Conclusion Our study revealed a non-linear relationship between ALI and the risk of PCa development. …”
Get full text

Association between total and regional body fat measured by dual-energy X-ray absorptiometry and apolipoprotein B by Chi Chen, Yimeng Gu, Junfei Xu, Yanyan Xiao, Chao Wang, Yuan Chen, Hui Huang, Qingguang Chen, Yilei Chen, Qi Chen, Ningjian Wang, Hao Lu

“…The associations of total and regional fat with apoB levels were evaluated using linear regression models. Following adjustment for demographic, lifestyle, and clinical risk factors, whole-body fat percentage was positively associated with apoB levels. …”
Get full text

Alavancagem operacional das empresas do segmento de restaurantes e similares listadas na B3: uma análise antes e durante a pandemia by Raidan Iago dos Santos, Elayne Victória Vieira Chagas de Lima, Valdemir da Silva, Carlos Everaldo Silva da Costa

“…Quanto aos aspectos metodológicos, esta pesquisa classifica-se como descritiva, documental e com uma abordagem quantitativa, pois foram utilizadas estatísticas descritivas, regressão linear simples e correlação de Spearman no tratamento e na exposição dos dados. …”
Get full text

Development and Characterization of Silibinin-Loaded Nanoemulsions: A Promising Mucoadhesive Platform for Enhanced Mucosal Drug Delivery by Ana Paula Santos Tartari, Joslaine Jacumazo, Ariane Krause Padilha Lorenzett, Rilton Alves de Freitas, Rubiana Mara Mainardes

“…Rheological analysis revealed Newtonian behavior, characterized by constant viscosity across varying shear rates and a linear torque response, ensuring ease of application and mechanical stability. …”
Get full text

Using reference equations to standardise incremental shuttle walk test performance in children and young people with chronic conditions and facilitate the evaluation of exercise ca... by Eleanor Main, Melanie Bladen, Emma Raywood, Deepti Chugh, Nicole Filipow, Helen Douglas, Nicky Murray, Rachel O'Connor, Elisabeth Robinson, Nikki Thorpe

“…Associations between ISWT and disease severity were assessed with linear regression.Results Three relevant reference equations were identified for the ISWT that standardised performance based on age, sex and body mass index (Vardhan, Lanza, Pinho). …”
Get full text

Identification of 17 novel epigenetic biomarkers associated with anxiety disorders using differential methylation analysis followed by machine learning-based validation by Yoonsung Kwon, Asta Blazyte, Yeonsu Jeon, Yeo Jin Kim, Kyungwhan An, Sungwon Jeon, Hyojung Ryu, Dong-Hyun Shin, Jihye Ahn, Hyojin Um, Younghui Kang, Hyebin Bak, Byoung-Chul Kim, Semin Lee, Hyung-Tae Jung, Eun-Seok Shin, Jong Bhak

“…Subsequent validation of identified biomarkers employed an artificial intelligence-based risk prediction models: a linear calculation-based methylation risk score model and two tree-based machine learning models: Random Forest and XGBoost. …”
Get full text