Mechanisms of organotropism in breast cancer and predicting metastasis to distant organs using deep learning by Meizhu Xiao, Zhijin Fu, Yanjiao Li, Min Zhang, Denan Zhang, Lei Liu, Qing Jin, Xiujie Chen, Hongbo Xie

“…A deep neural network (DNN) model was developed to analyze these complex datasets and identify key predictors of organ-specific metastasis. …”
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The Hausa 12-item short-form health survey (SF-12): Translation, cross-cultural adaptation and validation in mixed urban and rural Nigerian populations with chronic low back pain.... by Aminu Alhassan Ibrahim, Mukadas Oyeniran Akindele, Sokunbi Oluwaleke Ganiyu, Bashir Kaka, Bashir Bello Abdullahi, Surajo Kamilu Sulaiman, Francis Fatoye

“…The refined model demonstrated good fit and evidence of factorial invariance in three demographic groups (age, gender, and habitation). …”
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Homogeneity Equation for the Effective Elastic Properties of Heterogenous Rocks Developed From Machine Learning by E. Maalouf, H. Kareem, H. Chebli

“…Abstract This study develops an artificial neural network (ANN) model designed to estimate the effective elastic properties of heterogeneous rocks with inclusions. …”
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Fracture Resistance and Stress Distribution Pattern of Different Posts-Core Systems in Immature Teeth: An In Vitro Study and 3D Finite Element Analysis by Shahnaz Khadar, Kishor Sapkale, Pravinkumar G. Patil, Sayed Abrar, Manoj Ramugade, Febel Huda

“…The purpose of this study was to evaluate the fracture resistance of simulated immature teeth restored with different intraradicular posts and assess their stress distribution pattern using 3D Finite Element Analysis (FEA). Methods. Fracture strength testing using universal testing machine was carried out in simulated immature teeth restored with different intraradicular posts grouped as follows: Group A: teeth not restored with posts served as control group; Group B: Cast metal post (CMP); Group C: Customized Composite Post (CCP); Group D: Fiber post (FP). …”
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Full-length 16S rRNA Sequencing Reveals Gut Microbiome Signatures Predictive of MASLD in children with obesity by Yu-Cheng Lin, Chi-Chien Wu, Yun-Er Li, Chun-Liang Chen, Chia-Ray Lin, Yen-Hsuan Ni

“…The model's performance was evaluated by comparing the area under the receiver operating characteristic curve (AUC) through a tenfold cross-validation method. …”
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LIGHTWEIGHT DESIGN FOR OVERHAUL TOOLING SUPPORT SEAT BASED ON TOPOLOGY OPTIMIZATION AND SIX SIGMA ROBUSTNESS by WANG ZiNing, WU JianJun, XIANG JianMing, WANG BaiSong, JIN YingQi

“…Support seat’s topology structures was extracted based on topology optimization with variable density method. The response surface model was established based on the central composite design method and the finite element numerical simulation technique. …”
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Micro Mechanism Research of Photoacoustic Effect Based on Gold Nanocomposites in Multiphysics Field by Cong Du, Zihui Sun, Yanxue Wang, Jinduo Xing, Jianbo Feng, Aihua Zhu

“…A multi-layer array of gold nanoparticles in the optic-thermal-acoustic field was modeled in this study using numerical simulation methods as a means of quantitatively analyzing the microscale heat transfer parameters and nonlinear enhanced PA/PT effects. …”
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Spatial Variability of Soil Organic Carbon Stock in Gurje Subwatershed, Hadiya Zone, Southern Ethiopia by Temesgen Addise, Bobe Bedadi, Alemayehu Regassa, Lemma Wogi, Samuel Feyissa

“…The ordinary kriging (OK) method was used as a geostatistical tool and applied to model the spatial variability of soil organic carbon in this study. …”
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Seismic Behavior of RC Bridge Piers Locally Replaced with SFRC-FA Subjected to Torsion Combined with Axial Compression by Jiyang Wang, Yongjun Wang, Chenglin Wan, Rongda Chen, Chengbin Liu, Zhihua Hu

“…In addition, an equation for calculating the torsional bearing capacity of the new composite pier columns was proposed. The results showed that (1) compared with the reinforced concrete pier column, the plastic hinge was shifted from the bottom of the pier column to the middle of the height of the pier column due to the application of SFRC-FA at the bottom of the pier column, which improved the torsional bearing capacity; (2) the effect of reducing the stirrup ratio of the SFRC-FA replacement region on the torsional bearing capacity, cracking mode, energy dissipation, and ductility was not obvious; (3) the accuracy of the new equation based on the space truss model proposed in this article was verified by comparison with the experiments of this study and other researches.…”
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The revised version of the Physical Self-Description Questionnaire-Short for Chinese middle school students by Ruijin Cai, Yaru Guo, Chunyu Lu

“…ObjectiveChinese version of the Physical Self-Description Questionnaire-Short (PSDQ-S) was revised, and its reliability, validity, and gender invariance were tested among Chinese middle school students.MethodsA convenience sampling method was used to select 1,632 middle school students in grades 7-12 (12-18 years old) in Shanghai for the PSDQ-S questionnaire survey, and SPSS 24.0 and Mplus 8.3 software were used for data analysis.ResultsEight factors were extracted by exploratory factor analysis with a cumulative variance explanation rate was 79.45%. …”
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Optimization of ultrasound-assisted extraction of glycyrrhizic acid from licorice using response surface methodology by Seol Jang, A. Yeong Lee, A. Reum Lee, Goya Choi, Ho Kyoung Kim

“…Conclusion: The experimental values agreed with those predicted by RSM models, thus indicating the suitability of the model employed and the success of RSM in optimizing the extraction conditions. …”
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Multi-Objective Optimization Design of Ship Propulsion Shafting Based on Response Surface Methodology and Genetic Algorithm by ZHANG Cong, SHU Bingnan, ZHANG Jiangtao, JIN Yong

“…In order to reduce the power loss of the transmission equipment, enhance the transmission efficiency of the propulsion shafting, and improve the vibration performance of the shafting, a multi-objective optimization design of a ship shafting experimental platform is performed based on the response surface model and genetic algorithm. The central composite design (CCD) method is used to select appropriate experimental points in the optimized design space, and the response surface model is developed with minimum total power consumption and vibration response amplitude. …”
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Rapid identification of the authenticity of iron rod yam by in-situ mass spectrometry based on random forest algorithm by ZHONG Hengyan, CHEN Chun, OUYANG Yongzhong, ZHOU Lin, GUO Weiqing

“…Pattern recognition analysis established a model to differentiate between TG and FTG based on their chemical compositions.ResultsThe difference between the first-level mass spectra obtained by HS-APCI-MS was obvious between TG samples and FTG samples. …”
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Association of severity features and laboratory biomarkers with adverse maternal outcomes in pre-eclamptic women: a retrospective cohort study in an Ethiopian tertiary hospital by Hiluf Ebuy Abraha, Hale Teka

“…Objective To examine the association between clinical severity features, laboratory biomarkers and adverse maternal outcomes in women diagnosed with pre-eclampsia–eclampsia syndrome.Design A retrospective cohort study design.Setting Ayder Comprehensive Specialized Hospital, a tertiary care hospital in Tigray, Ethiopia.Participants A total of 1095 women diagnosed with pre-eclampsia–eclampsia syndrome between 2015 and 2021 were consecutively included.Outcomes Adverse maternal outcomes, defined as a composite of intensive care unit (ICU) admission, need for haemodialysis, pulmonary oedema or death.Methods A multivariable binary logistic regression model was used to assess the association between pre-eclampsia severity features, laboratory biomarkers and adverse maternal outcomes. …”
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Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and hyperuricemia: evidence from the CHARLS study by Xin Hou, Zhenghao Zhu, Xinmin Chen, Yanhui Li, Guofeng Feng, Xiangjie Zhou, Zheng Gong, Yang Yang, Xiaohong Zhang

“…Background and aimsThe non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) is an innovative composite lipid measure. This study aims to examine the correlation between NHHR and hyperuricemia in the middle-aged and elderly demographic in China.MethodsThis investigation comprised 4,639 individuals who were devoid of hyperuricemia at baseline in 2011, utilizing data from the China Health and Retirement Longitudinal Study (CHARLS). …”
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Statistical methodologies for determining critical parameters in a pick-and-place process on a surface mount device line by S. Lima, L. Silva, A. Manuela Gonçalves, M. T. Malheiro, M. Pinhão, J. Machado, J. Meireles, A. J. Pontes

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Psychometric Evaluation of the Thai Version of the Burdened Caregiver Scale for Schizophrenia and Co-occurring Methamphetamine Use: A Pilot Study [version 4; peer review: 1 approve... by Ek-uma Imkome

“…EFA identified four constructs: physical function, self-esteem, role and social enjoyment, and relationship satisfaction. The model exhibited strong reliability and validity, with an average variance extracted (AVE) of 0.948 and composite reliability (CR) of 0.987, accounting for 64.90% of the variance. …”
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Optimization of Magnetic Biochar Preparation Process, Based on Methylene Blue Adsorption by Bin Liu, Yixuan Wu, Zebing Xing, Ji Zhang, Yuxin Xue

“…In this study, we investigated the main control parameters affecting the performance of magnetic mushroom substrate biochar and optimized the process of preparing biochar by using the Plackett–Burman and central composite design methods. Various analytical techniques including SEM, EDX, BET, and VSM were used to characterize the biochar. …”
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Psychometric Evaluation of the Thai Version of the Burdened Caregiver Scale for Schizophrenia and Co-occurring Methamphetamine Use: A Pilot Study [version 3; peer review: 1 approve... by Ek-uma Imkome

“…EFA identified four constructs: physical function, self-esteem, role and social enjoyment, and relationship satisfaction. The model exhibited strong reliability and validity, with an average variance extracted (AVE) of 0.948 and composite reliability (CR) of 0.987, accounting for 64.90% of the variance. …”
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Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance by S. Sivaraman, N. Radhika, Muhammad Abubaker Khan

“…To address this, Machine Learning (ML) techniques were integrated to predict the wear rate and phase formation in HEA coatings processed through thermal spray methods. Ten ML models such as AdaBoost, XGBoost, CatBoost, GBRT, DT, SVM-RBF, MLP, BNN, MLR and HR were utilized to predict wear rate, Feature engineering was conducted using Mutual Information (MI) and Pearson Correlation Coefficient (PCC) to access feature significance, Variance Inflation Factors (VIFs) analyzed multicollinearity, identified influential elements for wear rate prediction and aiding in the development of novel Lightweight High Entropy Alloys (LHEAs) coating compositions. …”
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