Diagnosis Osteoporosis Risk: Using Machine Learning Algorithms Among Fasa Adults Cohort Study (FACS) by Saghar Tabib, Seyed Danial Alizadeh, Aref Andishgar, Babak Pezeshki, Omid Keshavarzian, Reza Tabrizi

“…Our objective was to employ a variety of machine learning (ML) techniques to evaluate the accuracy and precision of each method, with the aim of identifying the most accurate pattern for diagnosing the osteoporosis risks. …”
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Genetic classification and geochemical evaluation of Upper Cretaceous carbonate reservoir oils in Dezful Embayment and Abadan Plain, SW Iran by Hossein Saadati, Ali Kadkhodaie, Mehrab Rashidi, Hossein Bahrami, Hashem Sarafdokht, Dmitriy A. Martyushev, Amir Abbass Jahangard

“…Steranes and hopanes thermal maturity parameters were employed to define early maturity to the peak of oil generation level in the potential source rock. …”
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Nutritional knowledge and practices of low-income women during pregnancy: a qualitative study in two Oaxacan cities by Marian Marian, Ramona L. Pérez, Amanda C. McClain, Samantha Hurst, Elizabeth Reed, Kathryn M. Barker, Rebecka Lundgren

“…The aim of this study was to explore the nutritional practices, education and received and employed among women during their pregnancy. Methods Guided by Ecological Systems Theory and an Intersectionality Framework, this qualitative study was carried out in Oaxaca City and Puerto Escondido, in Oaxaca, a Mexican state with high levels of food insecurity. …”
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Comparison of Crushed-Zone Skin Factor for Cased and Perforated Wells Calculated with and without including a Tip-Crushed Zone Effect by Ekhwaiter Abobaker, Abadelhalim Elsanoose, Faisal Khan, Mohammad Azizur Rahman, Amer Aborig, Stephen Butt

“…This study has presented a better understanding of crushed zone characteristics by employing a different approach to the composition and shape of the crushed zone and permeability reduction levels for the crushed zone in the axial direction of the perforation.…”
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Increase in nitrogen, phosphorus, and potassium of liquid fertilizer from fish canning waste and kepok banana peel (Musa paradisiaca L.) by Rieny Sulistijowati, Dwi Angriani Habie, Wila Rumina Nento, Elanemay Ivonne Peleh

“…This research aims to analyze the chemical quality of liquid organic fertilizers and determine the best treatment between liquid waste from pelagic tuna canning and kepok banana peel extract. The research employed a laboratory experimental method with one treatment, which is different concentrations of liquid waste from fish canning and kepok banana peel extract, with four treatment levels and three replications: PO (700 mL liquid waste from fish canning), P1 (600 mL liquid waste from fish canning + 100 mL kepok banana peel extract), P2 (550 mL liquid waste from fish canning + 150 mL kepok banana peel extract), and P3 (500 mL liquid waste from fish canning + 200 mL kepok banana peel extract). …”
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Short- to Medium-Term Weather Forecast Skill of the AI-Based Pangu-Weather Model Using Automatic Weather Stations in China by Siyi Xu, Yize Zhang, Junping Chen, Yunlong Zhang

“…Furthermore, the iteration precision of Pangu’s 1 h forecast model is significantly lower than that of the other models, but this discrepancy in precision may not be prominently reflected in Pangu’s actual forecasting process due to the greedy algorithm employed. In the case study on typhoon forecasting, Pangu, along with FuXi and FengWu, demonstrates comparable performance in predicting Bebinca’s track compared to ECMWF and outperforms GFS in its track predictions. …”
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Research on path planning for coal mine rescue robots by ZHU Hongbo, YIN Hongliang

“…A hierarchical smoothing optimization strategy is employed to remove redundant points and sharp turns, reducing both the number of waypoints and the overall path length, while enhancing smoothness. …”
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Exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional Mendelian randomization by Lu Ding, Bo Chen, Zhou Zhou, Zhaojun Mei, Kan Cao, Xinyu Lu, Wei Chen

“…The primary analysis employed the inverse-variance weighted (IVW) method, supported by sensitivity analysis to address pleiotropy and enhance robustness. …”
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A Digital-based Talent Acquisition Framework for Start-ups: A Qualitative Multiple Case Study by Mohammad Hosein Kenarroodi, Hasan Boudlaie

“…The final stage of research coding identified ten key themes for talent acquisition in startups, including: taking an aggressive approach to talent acquisition, creating a strong employer brand, managing relationships with talents, identifying risks in talent selection, designing selection criteria and methods, determining selection quality, setting onboarding timelines, and developing learning methods and content for onboarding.     …”
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Investigation of the Ternary System, Water/Hydrochloric Acid/Polyamide 66, for the Production of Polymeric Membranes by Phase Inversion by Jocelei Duarte, Camila Suliani Raota, Camila Baldasso, Venina dos Santos, Mara Zeni

“…Given the lack of data for the ternary system water (H₂O)/hydrochloric acid (HCℓ)/polyamide 66 (PA66), this work employed the Flory–Huggins theory for the construction of the ternary diagrams (H₂O/HCℓ/PA66 and H₂O/formic acid (FA)/PA66) by comparing the experimental data with theoretical predictions. …”
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Contextualization of Trait Nexus and Gene Action for Quantitative and Qualitative Characteristics in Indian Mustard by Sumanta Prasad Chand, Sandip Debnath, Mehdi Rahimi, Mohd. Shaikhul Ashraf, Pankaj Bhatt, Saima Ahmed Rahin

“…Therefore, seven lines and five testers of Indian mustard (Brassica juncea L.) were employed in the present study. The findings suggested that there was substantial genetic variation for all traits examined. …”
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An exploration of RSM, ANN, and ANFIS models for methylene blue dye adsorption using Oryza sativa straw biomass: a comparative approach by Sheetal Kumari, Smriti Agarwal, Manish Kumar, Pinki Sharma, Ajay Kumar, Abeer Hashem, Nouf H. Alotaibi, Elsayed Fathi Abd-Allah, Manoj Chandra Garg

“…Three distinct modelling approaches were employed: artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), and response surface methodology (RSM). …”
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Psychological and pedagogical readiness of a guide to work with disabled people by O. V. Zaslavskaya, A. S. Malafiy

“…In the course of research, general scientific methods of analysis and synthesis, statistical methods, methods of survey and participant observation were employed. Primary data obtained during the survey, as well as secondary data from open sources and databases were used. …”
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Role and mechanism of dexmedetomidine in regulating bone metabolism in tail-suspended osteoporotic rats by GUO Yunliang, WANG Can, ZHANG Xinyu

“…Biomechanical three-point bending test was employed to measure the maximum load, stiffness, and fracture energy. …”
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Prognostic value of adjuvant chemotherapy for hormone receptor-negative T1a and T1bN0M0 breast cancer patients by Yaxiong Liu, Honghui Li, Jinsong Li, Changlong Wei, Jinsheng Zeng, Qiuhong Tian

“…Kaplan-Meier method was employed to determine survival benefit of adjuvant CT. …”
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COVID-19 vaccine uptake in Zimbabwe and Sierra Leone: an application of Health Belief Model constructs by Simon Ssentongo, Alex Muhereza, Morie Mustapha, Ruth Gemi, Dennis Cherian, Rebecca Waugh, Benjamin Crookston, Cougar Hall, Mary Linehan, Hayden Borg, Joshua West

“…The survey assessed respondents' views in line with core HBM and TPB constructs, in addition to their levels of vaccine acceptance. We then employed adjusted logistic regression models to investigate the correlation between health behavior change theory constructs and vaccine uptake, taking into account variables like gender, age, education, and country of residence. …”
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Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach by Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Guangwu Lin, YuanZhong Xie, Shengdong Nie

“…Two multi-modal fusion strategies were used: feature-level fusion, where we employed a hybrid feature selection algorithm combining Fisher discriminant analysis, an ensemble Lasso (EnLasso) method, and partial least squares (PLS) regression to identify and integrate the most informative features from neuroimaging and genetic data; and decision-level fusion, where we developed an adaptive ensemble stacking (AE_Stacking) model to synergistically integrate the predictions from multiple base classifiers trained on individual modalities.ResultsThe AE_Stacking model achieving the highest average balanced accuracy of 95.36% and an area under the receiver operating characteristic curve (AUC) of 0.974, significantly outperforming feature-level fusion and single-modal models (p < 0.05). …”
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A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH): Protocol for a retrospective study. by Ilaria Amodeo, Giorgio De Nunzio, Genny Raffaeli, Irene Borzani, Alice Griggio, Luana Conte, Francesco Macchini, Valentina Condò, Nicola Persico, Isabella Fabietti, Stefano Ghirardello, Maria Pierro, Benedetta Tafuri, Giuseppe Como, Donato Cascio, Mariarosa Colnaghi, Fabio Mosca, Giacomo Cavallaro

“…Methods of data augmentation and dimensionality reduction (feature selection and extraction) will be employed to increase sample size and avoid overfitting. …”
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Optimasi Klasifikasi Sentimen Komentar Pengguna Game Bergerak Menggunakan Svm, Grid Search Dan Kombinasi N-Gram by Syahroni Wahyu Iriananda, Renaldi Widi Budiawan, Aviv Yuniar Rahman, Istiadi Istiadi

“…In this study, sentiment classification was performed using the Support Vector Machine (SVM) algorithm, employing N-Gram techniques for feature selection. …”
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Modelling the mode choice behaviour of Mobility-as-a-Service (MaaS) users in the Solent area of the UK by Nazam Ali, Seda Sucu Sagmanli, Nima Dadashzadeh, Djamila Ouelhadj

“…Factors such as car and bike ownership, travel-related impairment, education, profession, public transport pass ownership, and residential area type were found to be significant predictors of most frequent mode choice selection. Retired and employed users are less likely to select public/shared transport compared to private transport, indicating negative perceptions toward this mode. …”
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