Evaluating the Elements of Vitality in Jahānshahr Walkway, Karaj City, Iran by Mina Heydari Tamrabadi, Habibollah Fasihi, Tajaddin Karami

“…The research methodology was descriptive-analytical, utilizing observational data collected through a checklist, as well as survey data obtained from a questionnaire. The sample population consisted of 270 randomly selected walkway users. …”
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Unraveling the role of gut microbiome in predicting adverse events in neoadjuvant therapy for rectal cancer by Jingxin Ma, Shengbo Sun, Xin Cheng, Cong Meng, Hanzheng Zhao, Wentao Fu, Yan Gao, Liyan Ma, Zhengyang Yang, Hongwei Yao, Jianrong Su

“…We collected baseline fecal samples from 21 patients with adverse events (AE group) and 11 patients without adverse events (Non-AE group). …”
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Delta-radiomics analysis based on magnetic resonance imaging to identify radiation proctitis in patients with cervical cancer after radiotherapy by Jing Xue, Menghan Wu, Jing Zhang, Jiayang Yang, Guannan Lv, Baojun Qu, Yanping Zhang, Xia Yan, Xia Yan, Jianbo Song, Jianbo Song

“…Logistic regression (LR), Pearson correlation coefficient, and least absolute shrinkage and selection operator (LASSO) methods were utilized to select optimal imaging features, leading to a combined prediction model developed using a random forest (RF) algorithm. Model performance was assessed using the area under the curve (AUC), DeLong test, calibration curve, and decision curve analysis (DCA), with Shapley Additive exPlanations (SHAP) values for interpretation.ResultsThe samples were split into training (70%) and validation (30%) sets. …”
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The role of intestinal microbiota in the humoral response to SARS-CoV-2 after mRNA-1273 vaccination by María Tarriño, Juan Francisco Gutiérrez-Bautista, María José Olivares Durán, Abel Garcia-Diaz, Antonio José Cabrera-Serrano, Juan Sainz, Fernando Cobo, Teresa Rodriguez, Juan Antonio Reguera, Mónica Bernal, Miguel Ángel López-Nevot, Antonio Sampedro

“…Logistic regression and Random Forest models identified these taxa as predictors of strong antibody responses. …”
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Integrative single-cell and cell-free plasma RNA transcriptomics identifies biomarkers for early non-invasive AD screening by Li Wu, Li Wu, Renxin Zhang, Renxin Zhang, Yichao Wang, Yichao Wang, Shaoxing Dai, Shaoxing Dai, Naixue Yang, Naixue Yang

“…Cell-free RNA (cfRNA), which crosses the blood-brain barrier, could reflect AD brain pathology and serve as a diagnostic biomarker.MethodsHere, we integrated plasma-derived cfRNA-seq data from 337 samples (172 AD patients and 165 age-matched controls) with brain-derived single cell RNA-seq (scRNA-seq) data from 88 samples (46 AD patients and 42 controls) to explore the potential of cfRNA profiling for AD diagnosis. …”
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Dynamics of circulating microRNAs as a novel indicator of clinical response to neoadjuvant chemotherapy in breast cancer by Wenjie Zhu, Mei Liu, Ying Fan, Fei Ma, Ningzhi Xu, Binghe Xu

“…Methods One hundred and nine patients with operable or locally advanced breast cancer, who participated in a prospective clinical trial and received NCT, were analyzed. Blood samples were collected before random assignment, after two cycles of chemotherapy (C2) and before surgery. …”
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Research on gut microbiota characteristics of PBC patients at different ALBI grades based on machine learning by Han Shi, Qi Wang, Qi Wang, Qi Wang, Bin Xu, Yanmin Liu, Juan Zhao, Xue Yang, Chunyang Huang, Ronghua Jin, Ronghua Jin, Ronghua Jin, Ronghua Jin

“…Gut microbiota profiles were obtained using 16S rDNA sequencing of stool samples. We analyzed alpha diversity, beta diversity, LEfSe analysis and pathway function prediction. …”
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Global prevalence and antibiotic resistance profiles of carbapenem-resistant Pseudomonas aeruginosa reported from 2014 to 2024: a systematic review and meta-analysis by Tsepo Ramatla, Jane Nkhebenyane, Kgaugelo E. Lekota, Oriel Thekisoe, Maropeng Monyama, Conrad Chibunna Achilonu, George Khasapane

“…Heterogeneity between studies was assessed using Cochrane Q test and I2 test statistics based on the random effects model. Comprehensive meta-analysis software v4.0 was used to analyze the pooled prevalence of CRPA.ResultsA total of 163 studies (both clinical and screening samples) containing a total of 58,344 cases from 39 countries were included in this study. …”
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Feсal microbiota transplantation in the format of complex therapy in obesive siblings: clinical case by E. V. Pokrovskaya, E. S. Zhgun, E. A. Shestakova, I. A. Sklyanik, I. V. Fedushkina, E. I. Olekhnovich, D. N. Konanov, D. A. Kardonsky, Yu. V. Kislun, E. A. Sorokina, L. I. Zilberman, N. V. Zaytseva, E. N. Ilina, V. M. Govorun, M. V. Shestakova

“…Metabolomic analysis of the composition of feces showed no directed changes in the composition of metabolites after the FMT procedure, the nature of changes within the samples from each patient during the entire study period was random. …”
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Cover crop impacts on soil organic matter dynamics and its quantification using UAV and proximal sensing by Nikolaos-Christos Vavlas, Rima Porre, Liang Meng, Ali Elhakeem, Fenny van Egmond, Lammert Kooistra, Gerlinde B. De Deyn

“…We found that the cover crops radish and oat-radish mixture significantly increased SOM levels compared to the fallow treatment. Next, on soil sampled in year 4, we explored the use of proximal (VIS-NIR, MIR) and remote sensing using Unmanned Aerial Vehicles (UAVs) to upscale SOM from wet lab-based point samples to the whole field and map its SOM status. …”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…Methods Gene expression data from whole blood samples obtained from the GEO database were analyzed to identify differentially expressed genes (DEGs) associated with CRC, using a adjusted p-value threshold of < 0.05 and an absolute logFC > 0.5. …”
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Spatio-temporal mapping reveals changes in soil organic carbon stocks across the contiguous United States since 1955 by Chenconghai Yang, Feixue Shen, Xiang Li, Wenkai Cui, Lei Zhang, Lin Yang, Chenghu Zhou

“…However, information on long term dynamics of SOC over large area is lacking. Supported by soil samples collected over years and environmental covariates, space and time digital soil mapping (ST-DSM) has become an important and effective method to reveal the spatio-temporal changes of SOC. …”
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Mixed teff (Eragrostis tef, Poaceae) cultivation and consumption among smallholder farmers in South Wollo Zone, Ethiopia by Daniel Melese, Zemede Asfaw, Zerihun Woldu, Bikila Warkineh, Endale Amare, Alex C.  McAlvay, Morgan Ruelle

“…Data were collected through structured surveys with 304 randomly sampled interviewees, semi-structured interviews with 36 purposively sampled key informants, six focus group discussions, guided field tours and market surveys. …”
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Comprehensive analysis of lactylation-related gene and immune microenvironment in atrial fibrillation by Yazhe Ma, Youcheng Wang, Yuanjia Ke, Yuanjia Ke, Yuanjia Ke, Qingyan Zhao, Qingyan Zhao, Qingyan Zhao, Jie Fan, Yang Chen

“…Differentially expressed genes (DEGs) between AF and SR samples were identified, followed by pathway enrichment and immune infiltration analysis. …”
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Prevalence of phenotypic drug resistance profiles and multi-drug-resistant Pseudomonas and Acinetobacter species recovered from clinical specimens in Ethiopia: a systematic review... by Mihret Tilahun, Alemu Gedefie, Abdurahaman Seid, Habtu Debash, Agumas Shibabaw

“…The pooled prevalence was estimated using a random-effects model, and heterogeneity was examined using the I2 statistic. …”
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Teores plasmáticos de hormônios, produção e composição do leite em sala de espera climatizada Plasmatic levels of hormones, production and composition of milk in an acclamatized wa... by Irineu Arcaro Junior, Juliana R. P. Arcaro, Cláudia R. Pozzi, Helena Fagundes, Soraia V. Matarazzo, Claudio A. de Oliveira

“…Milk production data were collected daily and for milk composition, samples were collected once a week. Blood samples for hormone determination were collected weekly, from the coccigea vein. …”
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Utilizing plant-based biogenic volatile organic compounds (bVOCs) to detect aflatoxin in peanut plants, pods, and kernels by Daniel E. Sabo, Justin J. Pitts, Olga Kemenova, Christopher A. Heist, Benjamin Joffe, Xiaojuan (Judy) Song, William M. Hammond

“…It was found using only bVOCs, that Random Forest classification performed well for the analysis of the pod and kernel samples with an F1 score of 0.80. …”
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Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling by Muhammad Hassan, Khabat Khosravi, Aitazaz A. Farooque, Travis J. Esau, Alaba Boluwade, Rehan Sadiq

“…To build the dataset, 401 samples were collected from two fields in Prince Edward Island (PEI) and 122 samples from the New Brunswick (NB), Canada. …”
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Dietary fiber source and stage of gestation impact water balance, fecal physicochemical properties, serum electrolytes, and markers of gut motility in sows by Thomas A. Crome, Kyle D. Vahlenkamp, Rachel M. Self, Mark A. Giesemann, Amy L. Petry

“…Two 8-day metabolism periods occurred during mid- (days 50-59) and late-gestation (days 99-108). Fecal samples for physicochemical property analysis and serum samples were taken on day 1 of each period. …”
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An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance by Abhijeet Das

“…In addition, the study area's hydro-chemical facies were examined, and machine learning models’ hyperparameters such as Random Forest (RF), Borda Scoring Algorithm (BSA), Decision Tree (DT), Multilayer Perception (MLP), and Naïve Bayes (NB), were executed before, to training and testing the samples of surface water. …”
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