A Comparative Review of Mechanical and Petrographic Properties and Their Role in Estimating the Brittleness Index of Norite: Implications for Geomechanical Applications by Selaki Grace Molomo, Vhutali Carol Madanda, Fhatuwani Sengani

“…Current brittleness models mainly rely on mechanical properties, often ignoring key petrographic factors like grain size, mineral composition, alteration, and porosity. …”
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Sodium selenate as a disease-modifying treatment for progressive supranuclear palsy: protocol for a phase 2, randomised, double-blind, placebo-controlled trial by Kelly L Bertram, Lucy Vivash, Dennis Velakoulis, Leonid Churilov, Thomas Kimber, David Darby, Terence J O’Brien, Charles B Malpas, Christopher M Hovens, Simon J G Lewis, Joanne Fielding, Andrew H Evans, Stephen Tisch, John D O’Sullivan, Ian H Harding, Meaghan Clough, Cassandra Marotta, Scott Kolbe, Meng Law

“…Analysis will be with a general linear model (GLM) with the MRI composite at 52 weeks as the dependent variable, treatment group as an independent variable and baseline MRI composite as a covariate. …”
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Unveiling the effects of metabolites on the material properties of natural rubber by the integration of metabolomics and material characteristics by Nobuyuki Hiraoka, Shunsuke Imai, Shintaro Shioyama, Fuminori Yoneyama, Akio Mase, Yuko Makita

“…Correlation analysis between the metabolites and the properties of NR indicated that different metabolites affected different properties. A regression model of NR properties using metabolites as the explanatory variables suggests that about five metabolites need to be considered when examining the relationship between properties and metabolites. …”
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ML-based top taggers: Performance, uncertainty and impact of tower & tracker data integration by Rameswar Sahu, Kirtiman Ghosh

“…Nevertheless, the LLF-based classifiers trained on constituents' 4-momentum data exhibit substantial dependency on the jet modeling within Monte Carlo generators. The composite classifiers, formed by stacking a BDT on top of a GNN/CNN, not only enhance the performance of LLF-based classifiers but also mitigate the uncertainties stemming from the showering and hadronization model of the event generator. …”
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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. …”
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Farm conditions shape microbial communities and their association with methane intensity in dairy cattle: insights from the rumen microbiome at the community level by Simon Roques, Lisanne Koning, Alex Bossers, Alex Bossers, Sanne van Gastelen, Dirkjan Schokker, Edoardo Zaccaria, Léon Šebek, Soumya K. Kar

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Structural Components of Cognitive Rigidity by A.N. Pevneva

“…The purpose of the study is to identify the component composition of cognitive rigidity through the processes of switching, interference and control. …”
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Diagnosis of a Severe Dust Storm Event over Iraq by Sama K. Al-Dabbagh

“…Satellite images showed dense dust clouds swept and transported towards the east and southeast due to the front passage, which is simulated well in the CAMS model with a value exceeding 2.5 of optical depth. …”
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Regression Analysis in Development of Method for Isolation and Quantitative Determination of Water-soluble Polysaccharides from Sunflower Roots of One-year-old by N. A. Dyakova

“…The adequacy of the model was confirmed by testing hypotheses against Pearson's χ2 criterion. …”
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Antigen-independent activation is critical for the durable antitumor effect of GUCY2C-targeted CAR-T cells by Xiaofei Wei, Lin Shen, Chang Liu, Cheng Zhang, Min Tao, Jian Li, Xicheng Wang, Ting He, Fei Dai, Changsong Qi, Mingyang Ma, Yanping Ding, Xinan Lu, Dongqun Liu

“…The underlying mechanism was further investigated based on mutation of the hinge and transmembrane domains.Results We found that the composition of the antigen-sensitive scFv, CD8α hinge, CD8α transmembrane, and CD28 costimulatory domains boosted CAR-T cells to rapidly kill tumors, maintain high expansion capacity, and long-term efficacy in various colorectal cancer models. …”
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The role of gut microbiota in a generalist, golden snub-nosed monkey, adaptation to geographical diet change by Yuhang Li, Yujie Yan, Haojie Wu, Yiyi Men, Yi Yang, Hengguang Fu, Derek Dunn, Xiaowei Wang, Genggeng Gao, Peng Zhang, Guixin Dong, Liyuan Hao, Jia Jia, Baoguo Li, Songtao Guo

“…The impact of temporal dietary shifts on gut microbiota has been elucidated through multidimensional modeling of both food component and macronutrient intake. …”
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Canada goose fecal microbiota correlate with geography more than host‐associated factors by Joshua C. Gil, Heather R. Skeen, Celeste Cuellar, Sarah M. Hird

“…Supervised machine learning models were able to predict the state and flyway of origin of a fecal sample based on bacterial composition alone. …”
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Explaining the Pattern of Effective Factors in Building the Capacity of Extension Experts in the Development of Smart Climate Agriculture in the Northwestern Provinces of the Count... by M. Rafiee Sefid Dashti, S.M. Mirdamadi, S.J. Farajollah Hosseini, S. Shokri

“…To investigate causal relationships between the research variables and assess the fit of the data to the conceptual model, structural equation modeling (SEM) was applied. …”
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Numerical Mixing Index: Definition and Application on Concrete Mixer by Cristian Ferrari, Nicolò Beccati, Luca Magri

“…In this work, a statistical method is applied to a multiphase CFD simulation of concrete mixing performed in a truck mixer. The numerical model is based on an Eulerian–Eulerian approach in a transient regime. …”
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Is the real sector structure the determining factor of the financial sector structure of Iran's economy? by Seyedrohollah Ahmadi Hajiabadi

“…In the second step, the long-term and short-term model coefficients were estimated and then using causality test, the causal relationship between the structure of the financial and real sectors was investigated. …”
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Different cutoff values of the skeletal muscle mass and myosteatosis result in different clinical impact on overall survival in oncology. A subanalysis of a clinical trial by Alexey Surov, Maximilian Thormann, Andreas Wienke, Jens Ricke, Max Seidensticker

“…However, the clinical implication of body composition parameters remains inconsistent, largely due to the variability in cutoff values used across studies. …”
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Delivery of care in high mortality hospital settings: a direct observational study examining 1848 h of neonatal nursing in KenyaResearch in context by Abdulazeez Imam, Michuki Maina, Jalemba Aluvaala, Vincent Kagonya, Onesmus Onyango, Fredrick Were, Sebastian Fuller, Kenneth Karumba, Mike English, David Gathara, Peter Mwangi, Lucy Kinyua, Lydia Thuranira, Virginia Njoroge, Ngina Mwangi, Loise Mwangi, Penina Musyoka, Zainab Kioni

“…We determined nursing hours per patient per 12-h shift to measure nursing workload (primary exposure variable) and used a composite measure, the nursing care index (NCI), to score the nursing care delivered to a baby (primary outcome variable). …”
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Predicting emergency department visits for non-traumatic dental-related conditions among Medicaid beneficiaries by Sung Eun Choi, Rindala Fayyad, Daniel Nolte, Christine Riedy, Sharon-Lise Normand

“…Individual-level variables, such as age, race/ethnicity, and musculoskeletal complications, and area-level variables, such as racial/ethnic composition, indices of food access, and proportion of US-citizenship, explained a significant proportion of the variation in dental-related ED use. …”
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Optimization of the vinyl-monochloride recovery process for the reduction of costs and environmental impact by Arnautovic-Nascimento Jacqueline, Guimarães Paulo Roberto Britto, Vianna Regina Ferreira

“…Sensitivity analyses were performed to identify which independent variables improved the VCM condensation rate. Based on plant operating experience, three independent variables were selected and their influence on the VCM recovery flow rate was verified: pressure, the composition of the input stream, and utility water flow rate. …”
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The driving forces behind the prices of major cryptocurrencies: Evidence from the past five years by Medina Ayta Mohammed, Carmen De Pablos Heredero, José Luis Montes Botella

“…The results are robust under variations in sample composition and changes in sets of variables. Originality/value: The study uncovered the complex relationship between cryptocurrency price fluctuations and significant global events that transpired within the past five years by taking the factors identified in previous literature as a whole and adding new variables that are not well studied, such as the effect of Russian-Ukraine War and multinational corporations revealing cryptocurrency adoption intention on the prices of cryptocurrencies. …”
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