Garbage prediction using regression analysis for municipal corporations of Indian cities by Raj Kumar Sharma, Manisha Jailia

“…This research examines the information from 212 cities to suggest a helpful regression model for garbage forecasting and control. To establish a connection between the variables, the descriptive study employs statistical techniques to learn about the composition of data collected from municipal corporations and conduct correlation analysis. …”
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What makes equity crowdfunding successful in Japan? Testing the signaling and lack of financial literacy hypotheses by Yoshiaki Nose, Chie Hosomi

“…We begin with a probit analysis, and the Logit model is then introduced. Finally, a multiple regression analysis is run with the explained variables “fundraising rate” and “number of investors” and the hypothesized proxy variables as explanatory variables. …”
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THE IMPACT OF GENDER DIVERSITY ON EARNINGS QUALITY OF LISTED FINANCIAL SERVICES FIRMS IN NIGERIA: ANALYSIS OF TWO-STAGE LEAST SQUARES by Joseph Olorunfemi Akande

“…The econometric model assessed earnings quality as the dependent variable, with female financial experts, female CEOs, and female board members of foreign nationality. …”
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Optimization of non-smooth functions via differentiable surrogates. by Shikun Chen, Zebin Huang, Wenlong Zheng

“…These models are commonly used to predict outputs based on a combination of fixed parameters and adjustable variables. …”
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Factores determinantes del aumento en el consumo de hortalizas frescas por habitantes de la región Caribe de Colombia by María Martínez Reina

“…With information from 308 surveys applied randomly in seven cities of the Caribbean Region and using a structured survey that included variables such as age, family composition, prices, income, a Logit econometric model was formulated. …”
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Identification of essential anthropometric and health-related markers for effective weight loss program in middle-aged women by Nurul Hidayah Mat, Rabiu Muazu Musa, Fanora Mat, Zaffira Firzana Zaffri

“…All variables significantly contributed to the model (p < 0.001). …”
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Strength Prediction of Geopolymer Concrete With Wide-Ranged Binders and Properties Using Artificial Neural Network by Md Merajul Islam, Md Al-Mamun Provath, G. M. Sadiqul Islam, Md Tariqul Islam

“…Despite extensive use and research, predicting concrete strength based on the mixed chemical composition of constituents remains challenging due to consideration of limited variables, small dataset sizes, and traditional models struggling with nonlinearity. …”
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Association of β-casein gene polymorphism with milk production characteristics in Holstein cows by Danielle de C.M. da Fonseca, Alenia N. Vasconcellos, Elizangela D. Marino, Thais N. Chequer, Luisa M.F.S. Oliveira, João A. Negrão, Julio C. de C. Balieiro, Arlindo Saran Netto, Ana M.C. Vidal

“…For the statistical analysis, a fixed linear model was applied in which genotypes were considered as a fixed effect and the dependent variables included metabolites, milk production, milk composition, and SCC. …”
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Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming by Shyamal Mundada, Pooja Jain

“…Along with predictor variables, soil health card data as dependent variable was used for training the model. …”
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Crop, semi-natural, and water features of the cotton agroecosystem as indicators of risk of infestation of two plant bug (Hemiptera: Miridae) pests by Michael J. Brewer

“…The smallest scale (2.5 km radius) models had the greatest number of variables selected and highest R2, while two broader scales (5 and 10 km) and truncating the models to three variables produced a narrower range of R2s (0.49 to 0.62) and more consistent entry of variables. …”
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Application of Near-Infrared Spectroscopy to Rapidly Classify the Chinese Quince Fruits from Different Habitats by Songfeng Diao, Xiaoqian Tang, Lin Huang, Yanjie Li, Xiongfei Fan, Wenhao Shao

“…PLS-DA models and other variable selection approaches were used in this study. …”
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Bayesian optimization of radical polymerization reactions in a flow synthesis system by Shogo Takasuka, Sho Ito, Shunto Oikawa, Yosuke Harashima, Tomoaki Takayama, Aniruddha Nag, Araki Wakiuchi, Tsuyoshi Ando, Tetsunori Sugawara, Miho Hatanaka, Tomoyuki Miyao, Takamitsu Matsubara, Yu-Ya Ohnishi, Hiroharu Ajiro, Mikiya Fujii

“…It is therefore necessary to optimize the polymerization process to account for such composition drift. In the present study, styrene-methyl methacrylate copolymers were generated using a flow synthesis system and the processing variables were tuned employing Bayesian optimization (BO) to obtain a target composition. …”
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Value of a BRAFV600E and lymphocyte subset-based nomogram for discriminating benign lesions from papillary thyroid carcinoma in C-TIRADS 3 and higher nodules by Wenran Zhang, Simei Zeng, Jiaqing Dou, Chenfan Yu

“…Binary logistic regression analysis was employed to identify independent risk factors for PTC following adjustment for potential confounding variables. Internal validation was performed using bootstrap resampling (1,000 iterations) to assess the model’s predictive accuracy, clinical utility, and discriminative ability. …”
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两栖仿生变磁力脚吸盘力学模型建立及分析 by 袁夫彩, 王立柱

“…In order to design a biomimetic amphibian variable magnetic device that can ensure the adsorption stability and maneuverability of wall-climbing robot,the study of the device is developed.The composition and working principle of the device are introduced.The mechanically of device is analyzed,the mechanical model of avoiding overturn,slide and fall on hull is established.And the mechanical model is simulated by Matlab and is verified by experiment.So a theoretical basic for ascertaining the magnetic force of a magnetic device is provided by the study.…”
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Simulation of wheat biomass yield by thermal time, rainfall and nitrogen by Ana P. B. Trautmann, José A. G. da Silva, Manuel O. Binelo, Osmar B. Scremin, Ângela T. W De Mamann, Luiz M. Bandeira

“…Rainfall and N are potential variables in the composition of the multiple linear regression model. …”
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The Design of a Portable Municipal Waste Incinerator With Fuzzy Logic Based Support for Emission Estimation by Jude C. Akpe, Olatunde A. Oyelaran, Ibrahim O. Abdulmalik

“…Hydrogen Chloride (HCl) and Nitrous oxides (NO)x are the gases was used to demonstrate the Fuzzy Inference System (FIS) model. The FIS was built with five input variables (Food, PVC, Polythene, Paper and Textile) and three input variables with two membership functions. …”
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Prediction of Unconfined Compressive Strength of Expansive Soil Amended with Bagasse Ash and Lime Using Artificial Neural Network by D.R. Goutham, A.J. Krishnaiah

“…This paper presents the results of using rigorous modelling techniques like ANN and multi-variable regression model (MVR) to examine the UCS of BA and a blend of BA-lime (BA + lime) stabilized ES. …”
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THE TECHNOLOGY OF BUDGETING ENTERPRISES WITH THE DIVISIONAL STRUCTURE by Inna Kuznetsova, Yuliya Karpenko

“…The following tasks are solved in the article: the composition of budgeting technology is justified; the income generation model for an enterprise with a divisional structure is improved; the system of obligatory indicators of an enterprise with the divisional structure is suggested as well as the information model of budgeting the income of the cost centre of the second type. …”
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Analysis of factors affecting employee performance by Yusuf Ronny Edward, Nagian Toni, Erina Alimin

“…This study aims to examine the variables that affect employees' productivity at PT Z. …”
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STATEWIDE ASSESSMENT OF WILD TURKEY HABITAT USING SATELLITE IMAGERY IN ARKANSAS by Sharon L. Goetz, William F. Porter

“…Abstract: We explored the potential provided by classified digital land cover maps derived from remotely sensed satellite imagery for assessing statewide habitat suitability for eastern wild turkeys (Meleagris gallopavo silvestris) in Arkansas. We adapted habitat variables used for ground‐based habitat evaluation to classified land cover and assessed quality of the landscape for turkeys by using 2 approaches: a habitat suitability index (HSI) model and logistic regression model. …”
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