Predicting the role of socio-economic indices for the Human Development Index based on a multivariate regression model by Zainab Alimoradi, Mark D. Griffiths, Mehran Alijanzadeh

“…Methods Secondary analysis was conducted between April and July 2022. …”
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A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease by James L. Jr. Januzzi, Naveed Sattar, Muthiah Vaduganathan, Craig A. Magaret, Rhonda F. Rhyne, Yuxi Liu, Serge Masson, Javed Butler, Michael K. Hansen

“…We sought to develop an accurate means by which to stratify risk in DKD. Methods Clinical variables and biomarkers were evaluated for their ability to predict the adjudicated primary composite endpoint of CREDENCE (Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation) by 3 years. …”
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Predictive Radiomics-Based Model for Recurrence-Free Survival After Curative Resection in Patients with Hepatocellular Carcinoma by Cui J, Lin Z, Huang X, Wang S, Guo J, Song J, Zhang S, Lv J, Qiu W

“…The Rad-score based composite prediction model showed good predictive performance with AUC of 0.765 and 0.920 for predicting 3 years RFS in the training and validation sets, respectively. …”
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Comparison of Markowitz Model and DCC-tCopula-LVaR for Portfolio Optimization in the Tehran Stock Exchange by Gholamreza Taghizadegan, Gholamreza Zomorodian, Mirfeiz Fallahshams, Rasoul Saadi

“…While presenting a composite model, the extracted model should be examined to select the most efficient model to optimize the investment portfolio considering the conditions of investment uncertainty and non-linearity of the correlation between asset returns.Methods: To estimate DCC-tCopula-LVaR, first, the time series of the disturbance distribution of asset returns were estimated and standardized from the ARIMA-GARCH 1,1) model. …”
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Efficient merging and validation of deep learning-based nuclei segmentations in H&E slides from multiple models by Jagadheshwar Balan, Shannon K. McDonnell, Zachary Fogarty, Nicholas B. Larson

“…Several clinical laboratory methods to characterize the cellular composition are limited by scalability and high-costs. …”
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Adaptability evaluation model and experiment of full section SBM in deep strata based on AHP-fuzzy theory by Suqian Ni, Ying Xu, Peiyuan Chen, Jinjin Ge, Rongzhou Yang, Ziyi Yang, Guang Yang

“…Abstract To delve into the adaptability of the full section SBM boring process during its inaugural application, this paper innovatively put forward an adaptability evaluation model for the SBM shaft boring within composite deep strata. …”
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Power System Reliability Assessment with Quantification of Demand Response Uncertainty Based on Advanced Sigmoid Cloud Model by Bo Hu, Yue Sun, Wei Huang, Changzheng Shao, Tao Niu, Xin Cheng, Kaigui Xie

“…Finally, a reliability assessment framework for a composite power system is developed considering the uncertain price-based DR model and a k-means algorithm is used to accelerate the assessment process. …”
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Mathematical modeling and experimental study of material flow and torque in the extrusion-based additive manufacturing of granulated polymer by Mohammad Mahdi Salehi, Mohammad Reza Movahhedy

“…Fused deposition modeling (FDM) method is one of the most common additive manufacturing techniques for printing polymer parts. …”
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Entropy Weight TOPSIS Evaluation of Corporate Internal Control Quality Based on Fuzzy Matter-Element Model by Tao Tian, Xiaoning Li, Qing Wang, Dajian Tong

“…To evaluate corporate internal control quality (CICQ), this paper constructs a composite fuzzy matter-element model based on the fuzzy matter-element theory and the data on 781 listed enterprises in China. …”
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Computational work of casson rheology on 3D swirling plate employing yamada-ota and xue models by Jabr Aljedani, Hakim AL Garalleh, Umar Nazir, Muhammad Sohail, Ibrahim Mahariq, Abd Allah A. Mousa, Afnan Al Agha

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Modeling and Design of a Multistream Plate-Fin Heat Exchanger in the Air Separation Units by Pinch Technology by Nazar Oudah Mousa Alyaseen, Salem Mehrzad, Mohammad Reza Saffarian

“…The pinch technique, a method based on the usage of composite curves, was used in the creation of MSPFHE. …”
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Identification of Differences in Body Composition Measures Using 3D-Derived Artificial Intelligence from Multiple CT Scans across the L3 Vertebra Compared to a Single Mid-Point L3... by Ke Cao, Josephine Yeung, Yasser Arafat, Matthew Y. K. Wei, Justin M. C. Yeung, Paul N. Baird

“…The goal of this study was to determine if the use of an AI approach offered any additional information on capturing body composition measures. Methods. A total of 2203 axial CT slices of the entire L3 level (4–46 slices were available per patient) were retrospectively collected from 203 CRC patients treated at Western Health, Melbourne (97 males; 47.8%). …”
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Upaya Mengatasi Kesulitan Memahami Bacaan pada Mata Pelajaran Bahasa Indonesia dengan Menggunakan Metode Cooperative Integrated Reading And Composition (CIRC) Studi pada Siswa Kela... by Margono Margono

“…The Cooperative Integrated and Reading Composition method for the learning of bahasa Indonesia. …”
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Functionally Graded Piezoelectric Plates in Cylindrical Bending by Semi-analytical Approach by Sameer Sawarkar, Sandeep Pendhari

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Construction and Research of Guqin Sound Synthesis and Plucking Big Data Simulation Model Based on Computer Synthesis Technology by MingQing Liu

“…This paper studies the application of computer composition method based on discrete dynamic modeling technology in Guqin sound simulation, which has certain reference significance for improving the cloud data in China’s modern music field and the intelligent construction of Guqin sound data cloud storage system.…”
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Adsorption of Rhodamine B dye from solution using 3-((1-(4-((1H-benzo[d]imidazol-2-yl)amino)phenyl)ethylidene)amino)phenol (BIAPEHB)/ P(AA-co-AM) composite by Hayder O. Jamel, Maryam H. Jasim, Makarim A. Mahdi, Safaa H. Ganduh, Maryam Batool, Layth S. Jasim, Muhammad Nouman Haider

“…The adsorbent was synthesized by free-radical polymerization method and characterized using various techniques, confirming successful synthesis of composite. …”
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Brittleness evaluation of main coal seams in Permian Taiyuan-Shanxi formations, Baode block, Ordos Basin: based on a convolutional neural network method by Qingfeng ZHANG, Ziling LI, Jikun ZHANG, Shuai HAO, Xiaoguang SUN, Yanjie SHANG, Yun ZUO

“…Rock mechanical parameter method is commonly used to evaluate reservoir brittleness. …”
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Prediction Model of the Key Components for Lodging Resistance in Rapeseed Stalk Using Near-Infrared Reflectance Spectroscopy (NIRS) by Jie Kuai, Shengyong Xu, Cheng Guo, Kun Lu, Yaoze Feng, Guangsheng Zhou

“…By taking the advantage of NIRS, we developed a rapid method to determine the content of six key composition without crushing the stalk. …”
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MATHEMATICAL MODEL OF PECULIARITIES OF SIMILARITY, DIFFERENCES AND GEOGRAPHICAL RELATIONS OF SCOOPS FAUNA OF COASTAL AND ISLAND ECOSYSTEMS OF THE CASPIAN SEA by Y. Y. Ivanchenko, A. G. Abdurakhmanov, N. S. Kurbanova, N. M. Melikova

“…Coastal and island ecosystems.Methods. Traditional methods of collection (light traps, method ofhand collection from the screen) and also collections of the material gathered, arranged by modern systematics are used.Results. …”
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Advanced computational tools, artificial intelligence and machine-learning approaches in gut microbiota and biomarker identification by Tikam Chand Dakal, Caiming Xu, Caiming Xu, Abhishek Kumar, Abhishek Kumar

“…This review hunts through the cutting-edge computational methodologies that integrate multi-omics data—such as metagenomics, metaproteomics, and metabolomics—providing a comprehensive understanding of the gut microbiome's composition and function. Additionally, machine learning (ML) approaches, including deep learning and network-based methods, are explored for their ability to uncover complex patterns within microbiome data, offering unprecedented insights into microbial interactions and their link to host health. …”
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