Evaluation of Clavulanic Acid Adsorption in MgAl-Layered Double Hydroxides: Kinetic, Equilibrium and Thermodynamic Studies by Marcus Bruno Soares Forte, Élen Cristina Luna Elias, Heloise O. Pastore, Francisco Maugeri Filho, Maria Isabel Rodrigues

“…A model was obtained to predict the degradation constant. …”
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Deep Learning Approaches for Morphological Classification of Intestinal Organoids by Giovanni Cicceri, Sebastiano Di Bella, Simone Di Franco, Giorgio Stassi, Matilde Todaro, Salvatore Vitabile

“…Organoids, derived from primary donor or stem cells, closely replicate the composition and function of their in vivo counterparts. …”
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Parameter optimization for multistage horizontal well fracturing based on multi-cluster perforation for deep coal measure gas: A case study of the Jurassic Baijiahai area in the Ju... by Bo WANG, Chenghong JIN, Jiang LIU, Zhiwei WANG, Shenjian LI, Mao SHENG

“…As a result, existing fracturing experience cannot be directly applied, highlighting the investigation of fracturing parameter optimization tailored for deep CMG production.MethodsFocusing on deep CMG reservoirs in the Baijiahai area within the Junggar Basin, this study constructed a model of multistage horizontal well fracturing based on multi-cluster perforation for a composite geological structure composed of a roof, a floor, gangue, and coals. …”
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A Comparative Impact Assessment of Hail Damage to Tile and Built-Up Roofing Systems: A Comprehensive Review by Gayatri Thakre, Vinayak Kaushal, Mohammad Najafi

“…To better understand the effects, it is recommended that an intelligent model be developed to predict the hail resistance threshold of various configurations of BUR and TR systems with critical variables.…”
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Study of the synergistic effect of electrospun fiber structure and PPy particles on the electrical conductivity and tensile strength of PCL-PVA-PPy fibers by Zahra Sabet-Bokati, Seyed Mojtaba Zebarjad

“…This study used Response Surface Methodology (RSM) to model how fiber structure and polypyrrole (PPy) particles simultaneously influence the electrical conductivity and tensile strength of PCL-PVA-PPy fibers. …”
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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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Occurrence of micropollutants in surface water and removal by catalytic wet peroxide oxidation enhanced filtration using polymeric membranes loaded with carbon nanotubes by Adriano S. Silva, Paulo Zadra Filho, Ana Paula Ferreira, Fernanda F. Roman, Arthur P. Baldo, Madeleine Rauhauser, Jose L. Diaz de Tuesta, Ana I. Pereira, Adrián M.T. Silva, Juliana M.T. Pietrobelli, Marzhan S. Kalmakhanova, Daniel D. Snow, Helder T. Gomes

“…Sulfamethoxazole (SMX) was selected as a model pollutant, and 85–90 % removals were achieved in continuous flow mode during 8 h (equivalent to 2255–2315 mg m-2 h-1).…”
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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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