Spatio-Temporal Characteristics and Driving Forces of Landscape Ecological Risks in Highly Urbanized Areas: A Case Study of Suzhou City by Lingyue LU, Dawei SHAO, Dianming WU

“…The alterations in the proximity factor are also more evident after 2010, with the influence thereof increasingly concentrated in city centers and sub-centers, rather than being dispersed over a broader area.ConclusionThis research advances the scale-integrated assessment of LER in urban environments by determining optimal granularity (550 m) and magnitude (1 250 m). …”
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Spatiotemporal trends in hernia disease burden and health workforce correlations in aging populations: a global analysis with projections to 2050 by Fangyi Dai, Yuzhou Cai, Huayou Luo, Ruo Shu, Tong Zhang, Yong Dai

“…Methods Using data from the Global Burden of Disease Study 2021, we analyzed incidence, prevalence, mortality, and disability-adjusted life years (DALYs) for inguinal, femoral, and abdominal wall hernias. …”
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Organizational Culture and Stock Price Crash Risk by Gholamreza Kordestani, Ramin Eskandari, Mahdi Shams

“…For this research, financial data from companies were collected and analyzed using panel data analysis and multivariate regression methods. The tests include descriptive statistics of the variables, and to determine the degree of relationship between the research variables, multivariate regression coefficients were employed. …”
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STRAIN LOCALIZATION PECULIARITIES AND DISTRIBUTION OF ACOUSTIC EMISSION SOURCES IN ROCK SAMPLES TESTED BY UNIAXIAL COMPRESSION AND EXPOSED TO ELECTRIC PULSES by V. A. Mubassarova, L. M. Bogomolov, A. S. Zakupin, I. A. Panteleev, O. B. Naimark

“…The multichannel Amsy-5 Vallen System was used to record AE signals in the six-channel mode, which provided for determination of spatial locations of AE sources. Strain of the specimens was studied with application of original methods of strain computation based on analyses of optical images of deformed specimen surfaces in LaVISION Strain Master System.Acoustic emission experiment data were interpreted on the basis of analyses of the AE activity in time, i.e. the number of AE events per second, and analyses of signals’ energy and AE sources’ locations, i.e. defects.The experiment was conducted at ICMM with the use of the set of equipment with advanced diagnostic capabilities (as compared to earlier experiments described in [Zakupin et al., 2006a, 2006b; Bogomolov et al., 2004]). …”
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School-level variation in children’s moderate to vigorous intensity physical activity before and after COVID-19: a multilevel model analysis by Ruth Salway, Danielle House, Robert Walker, Lydia Emm-Collison, Katie Breheny, Kate Sansum, Joanna G Williams, William Hollingworth, Frank de Vocht, Russell Jago

“…Post lockdown, we collected accelerometer, individual and school data from 393 children in 23 of the same schools and 436 children in 27 of the same schools in 2021 (Wave 1) and 2022 (Wave 2), respectively. Methods Sources of variation (between-school, between-pupil and within-pupil) in child weekday moderate to vigorous physical activity at each wave were modelled using linear mixed-effects models with school-level wave random coefficients. …”
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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

“…Objectives 1 and 2: development of statistical models and diagnostic accuracy Methods Men presenting to their GP with LUTS were recruited prospectively from GP practices in Bristol, Newcastle upon Tyne and Wales. …”
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