Fecal microbiota transplantation alleviates lipopolysaccharide-induced osteoporosis by modulating gut microbiota and long non-coding RNA TUG1 expression by Pengcheng Ma, Ruoyi Wang, Huizhi Chen, Jiachun Zheng, Weijie Yang, Bo Meng, Yifan Liu, Yao Lu, Jing Zhao, Hongwei Gao, Hongwei Gao

“…PurposeTo study whether fecal microbiota transplantation (FMT) can alleviate lipopolysaccharide (LPS)-induced osteoporosis (OP) by regulating the composition and abundance of gut microbiota and the expression level of long non-coding RNA (lncRNA) TUG1.MethodsTwenty C57BL/6 mice were selected. …”
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THE COMPLEX USE OF LOCAL TYPES OF FUEL IN THE POROUS CONSTRUCTION MATERIALS PRODUCTION by N. P. Voronova, B. V. Lesun

“…The article presents a comprehensive low-waste technology is the use of local fuels, which can be used in the technology of some porous building materials. Also provides new methods of preparation of porous building materials based on aggloporite using local fuels and waste energy on the basis of milled peat, fuel briquettes and wood chips allow to replace expensive imported components that comprise the raw mixtures (coal, anthracite).On the basis of mathematical modeling of cooling in reheat furnaces pusher drive developed a method of engineering calculation mode batch hardening in agglomeration. …”
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Thermoelectric system for cooling and air conditioning in passenger cars by O. V. Evdulov, M. I. Mikailov, R. M. Magomedov

“…The aim of the study is to develop a design of a thermoelectric system (TES) for cooling and air conditioning in the passenger compartment of a car, its calculation, analysis of parameters and electrical and thermal characteristics. Method. The study is based on the methods of natural and computational modeling of air conditioning and life support systems in order to find optimal solutions for efficiency, reliability and service life of low-temperature installations, machines and devices. …”
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Hybrid subnet-based node failure recovery formal procedure in wireless sensor and actor networks by Hamra Afzaal, Nazir Ahmad Zafar, Fahad Alhumaidan

“…The static model consists of subnets, circular topology, sensors, actors, and gateways as composite objects in Vienna Development Method—specification language. …”
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Identification of Mine Water Source Based on AHP-Entropy and Set Pair Analysis by Xianming Zhao, Zhimin Xu, Yajun Sun

“…Next, this model was used to identify the sources of 10 sets of water samples from the mine, and then, the identification results were compared with the results of conventional models established using Fisher discriminant analysis (FDA) and Bayes discriminant analysis (BDA) methods. …”
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Unveiling the diagnostic and pro-inflammatory role of crohn’s disease: insights from 16 S-guided discovery and species-specific validation by Yao Xu, Runxiang Xie, Yuqing Weng, Yewei Fang, Huimin Chen, Shuan Tao, He Zhang, Yawen Ye, Xinyu Deng, Axiang Han, Qi Jiang, Wei Liang

“…Therefore, this study focuses on the inflammatory role of R. gnavus in CD pathogenesis. Methods We performed comprehensive 16 S rRNA sequencing on fecal samples from active CD patients, inactive CD patients, and healthy controls. …”
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Poly-Systemic Analysis of Military Students’ Discipline by L. Ya. Dorfman, A. V. Dubrovsky, A. P. Andrunik, E. A. Tsariev, V. N. Lyadov

“…Compared to the other two models, the advantage of composite model was justified. …”
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Identification of anti-fibrotic compounds from Piper longum L via hollow fiber cell fishing and high-performance liquid chromatography with in vivo and in vitro validation by Jie Tian, Nan Zhou, Heng Wang, Wanghui Jing, Guoping Zheng

“…Conclusions A novel HFCF-HPLC model was successfully established to screen active compounds from TCM against renal fibrosis. …”
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Deep Learning-Based Detection of Honey Storage Areas in <i>Apis mellifera</i> Colonies for Predicting Physical Parameters of Honey via Linear Regression by Watit Khokthong, Panpakorn Kritangkoon, Chainarong Sinpoo, Phuwasit Takioawong, Patcharin Phokasem, Terd Disayathanoowat

“…Especially, electrical conductivity exhibited statistically significant correlations with dataset performance across different dataset splits (<i>p</i> < 0.05), suggesting some potential influence of chemical composition on model accuracy. Our findings demonstrate the viability of image-based honey classification as a reliable technique for monitoring beehive productivity. …”
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Predicting viral proteins that evade the innate immune system: a machine learning-based immunoinformatics tool by Jorge F. Beltrán, Lisandra Herrera Belén, Alejandro J. Yáñez, Luis Jimenez

“…We evaluated a comprehensive range of machine learning models, including ensemble methods, neural networks, and support vector machines. …”
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The Elemental Analysis of Deep Earth Cuttings Based on Laser-Induced Breakdown Spectroscopy by GUO Qingbin, HU Wei, SHI Mingxin, ZHENG Pengfei, WU Di, AI Yong, CHEN Minxin, YU Jun

“…To address the demand for rapid in-situ detection of mineral and carbon elements in cuttings during ultra-deep hydrocarbon exploration, this study proposes an efficient elemental composition detection method based on laser-induced breakdown spectroscopy (LIBS). …”
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« Décomposition fécondante » : la chimie organique et les savoirs du vivant chez Flaubert by Judith Wulf

“…Flaubert, who does not escape this tendency, involves a wide assortment of natural sciences in his writings, which belongs to a realistic approach, whereas chemistry refers rather to abstract modeling. While the natural sciences are associated with an analytical perspective founded on dissection, chemistry has more to do with composition. …”
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Chemical Underpinning of the Tea Bag Index: An Examination of the Decomposition of Tea Leaves by Sarah Duddigan, Liz J. Shaw, Paul D. Alexander, Chris D. Collins

“…Therefore, gaining a better understanding of how plant litter decomposes in soil, and what governs this process, is vital for global climate models. The Tea Bag Index (TBI) was introduced by Keuskamp et al. (2013) as a novel method for measuring litter decomposition rate and stabilisation. …”
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Cold Stress Regulates Muscle Development and Promotes Muscle Fiber Transformation by Regulating Mib1/Notch Pathway by Minxing Zheng, Jiahui Qi, Xuanjing Wang, Tingting Fu, Ziqi Chang, Tong Zhao, Yaqin Sun, Jiayin Lu, Yi Yan, Haidong Wang

“…Methods: A cold stress model was established by subjecting mice to a 4 °C environment for 4 hours daily. …”
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Analysis of the venom components of necrotic tissue exudates from Naja atra venom-infected Guangxi Bama miniature pigs by XIAO Manqi, GUAN Zhezhe, HU Shaocong, LI Yalan, ZHANG Ziyan, JIANG Ningjing, ZHANG Xuerong, LIAO Ming

“…Objective To investigate the components of snake venom and the dynamic changes in protein expression in the exudates of necrotic tissues affected by the Naja atra venom in Guangxi Bama miniature pigs. Methods Guangxi Bama miniature pigs were injected with Naja atra venom to establish a local tissue necrosis model due to snakebite poisoning. …”
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Value of a BRAFV600E and lymphocyte subset-based nomogram for discriminating benign lesions from papillary thyroid carcinoma in C-TIRADS 3 and higher nodules by Wenran Zhang, Simei Zeng, Jiaqing Dou, Chenfan Yu

“…This study established and validated a nomogram model to quantitatively predict the malignant risk of papillary thyroid carcinoma in thyroid nodules classified as C-TIRADS category 3 or higher, providing a reference for precise diagnosis and treatment of these moderately or highly suspicious nodules.MethodsThis retrospective study analyzed 210 patients with thyroid nodules (C-TIRADS ≥3), stratified by fine-needle aspiration biopsy (FNAB) results into benign and PTC groups. …”
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Identification of Risk Group for Root Caries and Analysis of Associated Factors in Older Adults Using Unsupervised Machine Learning Clustering by Jiang L, Huang S, Reissmann DR, Schmalz G, Li J

“…The confusion matrix and alluvial diagram were used to visualize the predictive accuracy and composition of the clustering results. Binary logistic regression models further analyzed the associated factors, while ROC (receiver operating characteristic) curves and the random forest model visualized the predictive performance and the most important associated factors.Results: Two clusters were identified: cluster 1, with low root caries risk (21.5% with and 78.5% without root caries), and cluster 2, with high root caries risk (83.7% with and 16.3% without root caries). …”
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Gandouling ameliorates Wilson’s disease-associated liver fibrosis in mice with associated faecal microbiome and metabolome remodeling by Lulu Tang, Wei Dong, Danqing Liu, Chenling Zhao, Jie Chen, Yuya Wen, Jingyu Zeng, Ting Dong, Wenming Yang, Wenming Yang

“…Additionally, to detect alterations in the intestinal bacterial composition and metabolites, faecal samples were examined using non-targeted metabolomics and 16S rRNA sequencing.ResultsThe administration of GDL demonstrated anti-fibrotic effects on the liver, decreased serum inflammatory markers, ameliorated liver histopathology, and restored ileal permeability in the model group, as compared to the control group. …”
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Effects of alcohol on gut microbiome in adolescent and adult MMTV-Wnt1 mice by Hui Li, Leeann Aguilar Meza, Shailesh K. Shahi, Zuohui Zhang, Wen Wen, Di Hu, Hong Lin, Ashutosh K. Mangalam, Jia Luo

“…We hypothesized that binge-like alcohol exposure induces gut dysbiosis, which in turn drives systemic inflammation and carcinogenic processes.MethodsWe utilized MMTV-Wnt1 transgenic mice, a well-established model for mammary tumor development, along with wild-type FVB mice. …”
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Aminoguanidine hemisulfate improves mitochondrial autophagy, oxidative stress, and muscle force in Duchenne muscular dystrophy via the AKT/FOXO1 pathway in mdx mice by Shiyue Sun, Tongtong Yu, Joo Young Huh, Yujie Cai, Somy Yoon, Hafiz Muhammad Ahmad Javaid

“…Abstract Background Duchenne muscular dystrophy (DMD) is a prevalent, fatal degenerative muscle disease with no effective treatments. Mdx mouse model of DMD exhibits impaired muscle performance, oxidative stress, and dysfunctional autophagy. …”
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