A green-Ampt model considering unsaturated zone and pore air pressure by Youliang Peng, Liangjun Fei, Fangyuan Shen, Runqiao Zheng, Qian Wang, Qianwen Fan

“…As a response to this problem, this paper analyses the effects of soil bulk density and surface water depth on soil moisture content and pore air pressure at varying depths during water infiltration. It then constructs models for the unsaturated regions and additional pore gas pressure as a means of adjusting the cumulative infiltration volume and infiltration time separately. …”
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Germline Single-Nucleotide Polymorphism <i>GFI1-36N</i> Causes Alterations in Mitochondrial Metabolism and Leads to Increased ROS-Mediated DNA Damage in a Murine Model of Human Acu... by Jan Vorwerk, Longlong Liu, Theresa Helene Stadler, Daria Frank, Helal Mohammed Mohammed Ahmed, Pradeep Kumar Patnana, Maxim Kebenko, Eva Dazert, Bertram Opalka, Nikolas von Bubnoff, Cyrus Khandanpour

“…<b>Methods</b>: We pursued this question in a murine model of human AML by knocking in human <i>GFI1-36S</i> or <i>GFI1-36N</i> variant constructs into the murine <i>Gfi1</i> gene locus and retrovirally expressing <i>MLL-AF9</i> to induce AML. …”
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Effects of acupuncture at the Taichong (LIV3) and Hegu (LI4) points on functional connectivity with the retrosplenial cortex in patients with Alzheimer’s disease by Junkai Wang, Xinyue Bai, Xiaojun Chen, Shui Liu, Mengmeng Sun, Kuncheng Li, Yunsong Zheng, Zhiqun Wang

“…A dataset that included 100 healthy participants was also included to construct a reliable FC map of the RSC. Two sets of regions of interest (ROIs) in the RSC were selected to assess the sustained effect of acupuncture on FC with the RSC in AD patients and NCs.ResultsTwo sets of RSC ROI-based analyses demonstrated robust positive connectivity with the hippocampus (HPC). …”
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Analysis of the dynamics of transition from non-colonization to colonization and Staphylococcus aureus bacteremia in hemodialysis patients using Markov models. [version 3; peer rev... by Difariney González-Gómez, J Natalia Jiménez, Johanna M Vanegas, Daniela Montoya-Urrego

“…A two-state recurrent continuous-time Markov model was constructed to model transition dynamics from non-colonization to S. aureus colonization in hemodialysis patients. …”
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Coupling genome-wide continuous perturbation with biosensor screening reveals the potential targets in yeast isopentanol synthesis network by Qi Xiao, Jingjing Shi, Lixian Wang, Guoping Zhao, Yanfei Zhang

“…In this study, we employed a continuous perturbation tool to construct a genome-scale perturbation library, combined with an isopentanol biosensor to screen for high-yielding mutants. …”
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A Mitochondria‐Related Signature in Diffuse Large B‐Cell Lymphoma: Prognosis, Immune and Therapeutic Features by Zhen‐Zhong Zhou, Jia‐Chen Lu, Song‐Bin Guo, Xiao‐Peng Tian, Hai‐Long Li, Hui Zhou, Wei‐Juan Huang

“…Results Eighteen prognostic MRGs (DNM1L, PUSL1, CHCHD4, COX7A1, CPT1A, CYP27A1, POLDIP2, PCK2, MRPL2, PDK3, PDK4, MARC2, ACSM3, COA7, THNSL1, ATAD3B, C15orf48, TOMM70A) were identified to construct the risk model. Remarkable discrepancies were observed between groups. …”
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Have the COVID-19 pandemic and lockdown affected children’s mental health in the long term? A repeated cross-sectional study by Alan Johnson, Sayan Mukherjee, Sushant Mane, Manas Pustake, Ajit Bhagwat, Mohammad Arfat Ganiyani, Misba Sayed, Varada Mithbavkar, Zaid Memon, Abdus Samad Momin, Krishna Deshmukh, Ayush Chordia, Sabyasachi Parida, Sanket Warghade, Deepankar Varma

“…Regression models were constructed to predict the factors affecting increased anxiety levels and depressive symptoms in the COVID-19 period.Results 832 and 1255 children/adolescents were included in the study during the pre-COVID-19 and COVID-19 times, respectively. …”
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Automated Generation of Multiple-Choice Questions for Computer Science Education Using Conditional Generative Adversarial Networks by Muhammad Shoaib, Ghassan Husnain, Nasir Sayed, Yazeed Yasin Ghadi, Masoud Alajmi, Ayman Qahmash

“…The model is trained on a carefully constructed dataset that includes material from more than 20 subareas in computer science, consisting of materials such as textbooks, online encyclopedias and Q&#x0026;A websites. …”
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Immunoprotective effect of chitosan nanoparticles with different particle sizes against H9N2 avian influenza infection by Shangen Xu, Zhi Zhao, Chenxi Sun, Yile Ji, Qingshuang Luan, Qihong Zhang, Zheng Jin, Kai Zhao

“…To solve these problems and to prepare an efficient novel H9N2 vaccine, we constructed four N-2-HACC/CMCS NPs (NHC NPs) of different particle sizes (165.6 ± 12.0 nm, 272.5 ± 7.0 nm, 343.2 ± 8.0 nm, and 443.5 ± 15.0 nm). …”
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Impact of weather and climate on seed protein and oil content of soybean in the North Сaucasus by L. Yu. Novikova, I. V. Seferova, A. Yu. Nekrasov, I. N. Perchuk, T. V. Shelenga, M. G. Samsonova, M. A. Vishnyakova

“…The regression analysis in differences with forward stepwise selection of variables has been used to construct models for the dependence of the protein and oil content on generalized agrometeorological indices. …”
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Determination of the optimal frequency and duration of micro-spray patterns for high-temperature environment tomatoes based on the Fuzzy Borda model by Run Xue, Chuan Zhang, Haofang Yan, Kinde Negessa Disasa, Imran Ali Lakhiar, Muhammad Akhlaq, Muhammad Usman Hameed, Jun Li, Jiangtao Ren, Shuaishuai Deng, Biyu Wang, Rongxuan Bao

“…Thus, this study implemented different micro-spray frequencies, F1 (once per hour) and F2 (twice per hour), and durations, D1 (1 minute), D2 (2 minutes from 11:00–13:00 and 1 minute during other times) and D3 (2 minutes) treatments to study the impact of micro-spray durations and frequencies on tomato chlorophyll fluorescence parameters, growth indicators, and fruit quality, and constructed the Fuzzy Borda combination evaluation (FB) model to obtain the optimal micro-spray treatments. …”
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Angiographic Restenosis in Coronary Bifurcations Treatment with Regular Drug Eluting Stents and Dedicated Bifurcation Drug-Eluting BiOSS Stents: Analysis Based on Randomized POLBOS... by Robert J. Gil, Jacek Bil, Adam Kern, Luis A. Iñigo-Garcia, Radoslaw Formuszewicz, Slawomir Dobrzycki, Dobrin Vassilev, Roxana Mehran

“…The marked variation in bifurcation anatomy has brought about an ongoing search for stents specifically constructed for coronary bifurcations. This study aimed to analyze the angiographic restenosis prevalence and patterns and predictors of different patterns in dedicated bifurcation BiOSS® vs. current generation drug-eluting stents implanted in coronary bifurcation lesions based on data from two clinical trials POLBOS I and II. …”
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Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder by Yilu Zhao, Zhao Fu, Eric J. Barnett, Ning Wang, Kangfuxi Zhang, Xuping Gao, Xiangyu Zheng, Junbin Tian, Hui Zhang, XueTong Ding, Shaoxian Li, Shuyu Li, Qingjiu Cao, Suhua Chang, Yufeng Wang, Stephen V. Faraone, Li Yang

“…Then, DL models were constructed to predict percentage changes in symptom scores using genetic variants selected based on four different genome-wide P thresholds (E-02, E-03, E-04, E-05) as inputs. …”
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An MRI radiomics model for predicting a prostate-specific antigen response following abiraterone treatment in patients with metastatic castration-resistant prostate cancer by Yi Wu, Xiang Liu, Shaoxian Chen, Fen Fang, Feng Shi, Yuwei Xia, Zehong Yang, Daiying Lin

“…Univariate and multivariate analyses were performed using Cox regression to identify significant predictors of the efficacy of abiraterone treatment in patients with mCRPC.ResultsThe integrated model was constructed from seven radiomics features extracted from the T2WI, DWI, and ADC sequence images of the training data. …”
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A preoperative predictive model based on multi-modal features to predict pathological complete response after neoadjuvant chemoimmunotherapy in esophageal cancer patients by Yana Qi, Yanran Hu, Chengting Lin, Ge Song, Liting Shi, Hui Zhu

“…After feature selection, three single-modality prediction models and a combined multi-modality model integrating two radiomics features, 11 pathomics features, and two clinicopathological features were constructed using the support vector machine (SVM) algorithm. …”
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Genomic characteristics and phylogenetic relationships of Cutibacterium acnes breast milk isolates by Jiaqi Sun, Guoxuan Hang, Huimin Lv, Yu Li, Qiujie Song, Zhi Zhong, Zhihong Sun, Wenjun Liu

“…Core genes, core intergenic regions, and concatenated sequences of core genes and core intergenic regions were compared to construct a phylogenetic tree, and it was found that core intergenic regions could be used to describe phylogenetic relationships. …”
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Late-stage diversification strategy for the synthesis of peptide acids and amides using hydrazides by Shoko Tanaka, Mizuki Kanno, Yosuke Tashiro, Tetsuo Narumi, Nobuyuki Mase, Kohei Sato

“…Aim: Modification of the C-terminus of a peptide to improve its properties, particularly after constructing the peptide chain, has great promise in the development of peptide therapeutics. …”
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Association between red blood cell distribution width and genetic risk in patients with rheumatoid arthritis: a prospective cohort study and Mendelian randomization analysis by Mingyang Chen, Jing Lei, Zhenqiu Liu, Renjia Zhao, Yanfeng Jiang, Kelin Xu, Tiejun Zhang, Chen Suo, Xingdong Chen

“…Using previously reported results, we constructed a polygenic risk score for RA to evaluate the joint effects of RDW and RA-related genetic risk. …”
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Prediction of coal dust particle size after spraying dust reduction in roadway based on orthogonal experiment and regression analysis by Bingyou JIANG, Yuqian ZHANG, Changfei YU, Ben JI, Haoyu WANG, Zhuang LIU

“…On this basis, combined with the weights of each influencing factor, a weighted-based multivariate nonlinear regression prediction model of coal dust D90 after spraying dust reduction was constructed, and its prediction results were compared and analyzed with those of the multivariate linear regression model. …”
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Machine learning-based identification and validation of amino acid metabolism related genes as novel biomarkers in chronic kidney disease by Guoqing Zhang, Hongyan Luo, Xiaohua Lu, Yonghua Liu, Mei Wang, Bo Li, Haixia Lu, Yali Zheng

“…Methods: We filtered the key genes associated with AA metabolism based on the least absolute shrinkage and selection operator (LASSO) and SVM algorithm. Then, we constructed logistic regression models and evaluated the accuracy and specificity by nomogram analysis and DCA. …”
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