SLOW SLIP EVENTS: PARAMETERS, CONDITIONS OF OCCURRENCE, AND FUTURE RESEARCH PROSPECTS by G. G. Kocharyan, S. B. Kishkina, V. A. Novikov, A. A. Ostapchuk

“…Velocities of slip propagation along the fault strike are variable from a few hundred metres to 20–30 km/day. …”
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Seasonal shifts in depth-to-water uptake by young thinned and overstocked lodgepole pine (<i>Pinus contorta</i>) forests under drought conditions in the Okanagan Valley, British Co... by E. C. Ellis, R. D. Guy, X. A. Wei

“…Existing reports are highly variable by climatic region, species, and thinning intensity. …”
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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.  …”
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MilkOligoCorpus: A semantically annotated resource for knowledge extraction on mammalian milk oligosaccharides. by Mathilde Rumeau, Marine Courtin, Robert Bossy, Clara Sauvion, Valentin Loux, Mouhamadou Ba, Christelle Knudsen, Sylvie Combes, Claire Nédellec, Louise Deléger

“…To this end, we propose MilkOligoCorpus, a new gold standard for milk oligosaccharide composition in mammalian species. MilkOligoCorpus' annotation scheme is a rich entity/relation model designed to describe the diversity pattern of milk oligosaccharides according to female factor variability and to help better understand the structure-related function of milk oligosaccharides. …”
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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

“…The results showed significant variations between defects and commercial types in all the variables evaluated (<i>p</i> < 0.05), with an emphasis on germinated grains (higher protein content) and broken grains (higher fiber content). …”
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Phage biocontrol success of bacterial wilt depends on synergistic interactions with resident rhizosphere microbiota by Sara Franco Ortega, Bryden Fields, Daniel Narino Rojas, Lauri Mikonranta, Matthew Holmes, Andrea L. Harper, Ville‐Petri Friman

“…High intra‐treatment variability in phage efficiency was observed across all phage treatments, which was associated with clear shifts in microbiome composition, a reduction in R. solanacearum and an increase in phage densities. …”
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Nitrogen and truly digestible protein efficiencies of dairy cows fed fresh herbage- or maize forage-based diets: a meta-analysis by M. Ferreira, R. Delagarde, S. Lemosquet, N. Edouard

“…The dataset compiled dietary and zootechnical variables such as feed intake, chemical composition of the diet, milk yield (MY), milk composition and cow characteristics. …”
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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. …”
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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

“…Equations have been developed to predict methane emissions in dairy cattle based on variables such as dry matter intake (DMI), gross energy intake, body weight and milk fatty acids (FAs) profile. …”
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Determinants of Innovative Work Behavior of Employees in Transjakarta Companies by Dzihniyyah Fitria Nurhalizah, Justine Tanuwijaya, Zakiah Indah Safitri, Fitria Elvira Hanafi, Norzanah Mat Nor

“…In the full model Structural Equation Model (SEM) not only strengthens the existing theory, but also reveals the relationship between latent variables analyzed through t-tests and significance levels. …”
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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. …”
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A combined measure of blood leukocytes, forced vital capacity and quantitative CT is highly predictive of mortality in IPF: results of a single-centre cohort study by Andrew Achaiah, Emily Fraser, Peter Saunders, Rachel Hoyles, Rachel Benamore, Ling-Pei Ho

“…Inclusion of blood leukocytes improved C-statistic scores for each multivariate model. Conclusion Composite end points of ∆CTvol, ∆FVC and ∆TLF% were more predictive of mortality than single-variable measurements in this cohort. …”
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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. …”
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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. …”
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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

“…A covariate analysis and a Fisher's exact test were used to evaluate differences in the variables and in nutritional risk, malnutrition and sarcopenia between the groups. …”
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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. …”
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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. …”
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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. …”
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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. …”
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Reconstruction of the core and extended regulons of global transcription factors. by Yann S Dufour, Patricia J Kiley, Timothy J Donohue

“…To address this question, we used a comparative genomics approach that takes advantage of the large number of sequenced bacterial genomes to predict conserved and variable members of transcriptional regulatory networks across phylogenetically related organisms. …”
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