Multicentre methodological study to create a publicly available score of hospital financial standing in the USA by Harlan M Krumholz, Radoslav Zinoviev, Richard Ciccarone, Rick Antle, Howard P Forman

“…The sum of weighted variables is a single composite score named the Yale Hospital Financial Score (YHFS).Primary outcome measures Ability to reproduce both financial trends from a ‘gold-standard’ metric and known associations with non-fiscal data.Results The validity of the YHFS was evaluated by: (1) cross-validating it with previously excluded data; (2) comparing it to existing models and (3) replicating known associations with non-fiscal data. …”
Get full text

Investigation of Structural Relationships of Factors Affecting Posttraumatic Growth in Women With Breast Cancer by Azam Hashemian Moghadam, Hamid Reza Aghamohammadian Sharbaf, Mohammad Saeid AbdeKhodaei, Hossein Kareshki, Mona Joudi

“…The pattern of variables relationships was tested in a conceptual model by SEM and used the partial least squares regression method to test the measurement pattern and research hypotheses.  …”
Get full text

Physical Classification of Soybean Grains Based on Physicochemical Characterization Using Near-Infrared Spectroscopy by Marisa Menezes Leal, Nairiane dos Santos Bilhalva, Rosana Santos de Moraes, Paulo Carteri Coradi

“…It is concluded that the NIR method combined with multivariate modeling allows for the rapid assessment of soybean grain quality in real time, optimizing, reducing waste in, and increasing the efficiency of post-harvest processes.…”
Get full text

Хронический бронхит непрофессионального генеза и вовлеченность молекулярно-генетических факторов в его патогенез... by А. В. Храмцов, В. П. Иванов, Е. В. Трубникова, О. Н. Бачинский, Н. В. Стабровская, Н. В. Кононыхина

“…Shown thаt changing the quantitative characteristics of molecular composition of erythrocyte membranes affects indicators of cytogenetic variability in patients with chronic bronchitis of unprofessional etiology. …”
Get full text

Waterbody type dependence of the spatial distribution of macroinvertebrate communities in temperate China by Yujie Si, Junxia Wang, Junxia Wang, Hongxiang Li, Haonan Li, Ping He, Lei Jin, Cunqi Liu

“…In the lake, spatial and environmental variables contributed to the spatial distribution of macroinvertebrate communities, while in the river, spatial variables were slightly more important than environmental variables. …”
Get full text

Overweight and obesity combined with low physical function and non-communicable diseases among older adults in nursing homes represent a group with nutritional risk, malnutrition,... by Tenna Christoffersen, Inge Tetens, Anja Weirsøe Dynesen, Margit Dall Aaslyng, Janne Kunchel Lorenzen, Anne Marie Beck

“…The aim of the present study was to characterise older adults in community care with overnutrition according to a proposed screening model and to compare this group with older adults with normal weight in terms of nutritional risk, malnutrition, sarcopenia, or a combination of both. …”
Get full text

Machine learning study on magnetic structure of rare earth based magnetic materials by Dan Liu, Jiahe Song, Zhixin Liu, Jine Zhang, Weiqiang Chen, Yinong Yin, Jianfeng Xi, Xinqi Zheng, Jiazheng Hao, Tongyun Zhao, Fengxia Hu, Jirong Sun, Baogen Shen

“…In this work, 11 machine learning algorithms were trained to predict the material magnetic structure. Material composition and crystal structure are used to classify the dataset, and the relationship between multi-feature variables is constructed in a small sample space. …”
Get full text

Canonical correlation analysis for multi-omics: Application to cross-cohort analysis. by Min-Zhi Jiang, François Aguet, Kristin Ardlie, Jiawen Chen, Elaine Cornell, Dan Cruz, Peter Durda, Stacey B Gabriel, Robert E Gerszten, Xiuqing Guo, Craig W Johnson, Silva Kasela, Leslie A Lange, Tuuli Lappalainen, Yongmei Liu, Alex P Reiner, Josh Smith, Tamar Sofer, Kent D Taylor, Russell P Tracy, David J VanDenBerg, James G Wilson, Stephen S Rich, Jerome I Rotter, Michael I Love, Laura M Raffield, Yun Li, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Analysis Working Group

“…Integrative approaches that simultaneously model multi-omics data have gained increasing popularity because they provide holistic system biology views of multiple or all components in a biological system of interest. …”
Get full text

Management factors affecting the environmental impact of cereal-based dairy farms by Marco Berton, Enrico Sturaro, Stefano Schiavon, Alessio Cecchinato, Luigi Gallo

“…Impact values were analysed with a linear model to test separately the effects of MAN_F, DIET_F and ANI_F variables. …”
Get full text

Phenotypic and genetic characterisation of methane emission predicted from milk fatty acid profile of Sarda dairy ewes by F. Correddu, S. Carta, M. Congiu, A. Cesarani, C. Dimauro, N. P. P. Macciotta

“…Heritability of eMI and eMY estimated using a single trait model was 0.13 ± 0.05 and 0.05 ± 0.04, respectively. …”
Get full text

Prevalence of metabolic syndrome and its associations with stress and physical activity levels: a cross-sectional study involving university staff in Nigeria by Uchechukwu Martha Chukwuemeka, Peace Ogechukwu Chukwu, Anthony Chinedu Anakor, Precious Nzubechi Ukachi, Declan Ayara, Fatai Adesina Maruf

“…Demographic and cardiometabolic variables were assessed using standardised protocols. …”
Get full text

How Thermal Patterns Change During Dehydration in Non‐Vascular Epiphytic Communities by Giulia Canali, Pilar Hurtado, Sara Gariglio, Rodrigo Rocha deOliveira, Cristina Malegori, Paolo Giordani

“…We captured infrared images of eight bark sample categories representing different epiphytic community compositions. Using structural equation modeling, we analyzed how epiphytic community composition influenced thermal patterns, both directly and indirectly, through water‐related variables. …”
Get full text

Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

“…The Iberian pig breed, known for its high-quality meat products, includes various strains with recognized genetic and phenotypic variability. However, despite the microbiome’s known impact on pigs’ productive phenotypes such as meat quality traits, comparative analyses of gut microbial composition across Iberian pig strains are lacking. …”
Get full text

Features of Family Environment of a Child in Post-Industrial Society by A. D. Andreyeva

“…The most significant highlighted changes are those related to the reduction of quantitative and generational composition of a family, weakening of the idea of child-centrism, search for new models of active parenting, slow growing up of children in the comfort of a modern family environment. …”
Get full text

Green synthesis of CdFe2O4 by Terminalia catappa leave extract for photodegradation methyl red dye by response surface methodology by Poedji Loekitowati Hariani, Salni Salni, Eka Sri Yusmartini, Nabila Aprinati, Bijak Riyandi Ahadito

“…The optimal photodegradation process was determined using Response Surface Methodology (RSM) based on an experiment with Central Composite Design (CCD). The variables examined included the solution pH, the initial concentration of the dye, and the irradiation time. …”
Get full text

Navigating the Future: Envisioning Metaverse Adoption in Indonesian Tourism Through the Technological–Organizational–Environmental (TOE) Framework by Afrizal Firman, Ka Yin Chau, Ankita Manohar Walawalkar, Massoud Moslehpour

“…Despite its contributions, limitations such as sample composition and excluded TOE variables suggest avenues for future research. …”
Get full text

螺旋桨轴毂复合联接结构接触问题的非线性有限元分析及结构尺寸优化 by 孙骅, 李文静

“…According to the characteristics of aero product,the industry product must be as simple and light as possible under the premise of ensuring the load performance.By using the finite element analysis software ANSYS,a nonlinear contact model about a new type of composite shaft-hub connection structure of propeller is established.Based on the model,a optimization about the elastic ring,part of the shaft-hub connection structure,which defines the semi-cone angle and the width of the elastic ring as the design variables,the stress of the elastic ring as the state variable is carried out.The optimization results provide a theoretical basis of designing a composite shaft-hub connection structure which meets the requirement of aero product.…”
Get full text

Examining the dietary contributions of lipids to pancreatic cancer burden (1990–2021): incidence trends and future projections by Kexin Jiang, Zhirong Zhao, Mu Yuan, Hua Ji, Yiwen Zhao, Hanyu Ding, Jiajie Feng, Yongjiang Zhou, Ruiwu Dai

“…Unlike traditional single-variable correlation analyses, a Bayesian generalized linear model was applied to assess the association between food intake and disease incidence during the period 1990–2021. …”
Get full text

Optimization of clayey soil parameters with aeolian sand through response surface methodology and a desirability function by Ghania Boukhatem, Messaouda Bencheikh, Mohammed Benzerara, Mehmet Serkan Kırgız, N. Nagaprasad, Krishnaraj Ramaswamy, Souhila Rehab-Bekkouche, R. Shanmugam

“…Additionally, the Cc and Cs decreased by 16.15 and 54.45%, respectively, which reduced the sensitivity of the soil to volume changes. Mathematical models are developed and statistically validated using the clay and aeolian sand contents as predictive variables, while key parameters such as the maximum dry density (MDD), cohesion (C), internal friction angle (ϕ), compressibility coefficient (Cc), and swelling coefficient (Cs) serve as response metrics. …”
Get full text

A Deep Learning-Based Echo Extrapolation Method by Fusing Radar Mosaic and RMAPS-NOW Data by Shanhao Wang, Zhiqun Hu, Fuzeng Wang, Ruiting Liu, Lirong Wang, Jiexin Chen

“…Compared to the baseline ConvLSTM-based extrapolation model without physical variables, the models trained with the MR-DCGAN architecture achieved, on average, 18.59%, 8.76%, and 11.28% higher CSI values, 19.46%, 19.21%, and 19.18% higher POD values, and 19.85%, 11.48%, and 9.88% lower FAR values under the 20 dBZ, 30 dBZ, and 35 dBZ reflectivity thresholds, respectively. …”
Get full text