Predicting financial distress in emerging markets: the case of Indian small enterprises by Rampilla Mahesh, Anamika Kumari, Debabrata Sharma, Sreelakshmi N, Ranjana Ramesh

“…The Springate S-Score is used to classify firms as healthy or distressed, and the logit regression is used to predict the financial health of small firms by using financial ratios, firm-specific, and macroeconomic variables. The findings revealed that interest expense ratio, current ratio, leverage ratio, total asset turnover ratio, size of the company, book value of equity, GDP growth, inflation, and economic policy uncertainty have significance in predicting a small company’s financial health position. …”
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An Analytical Approximation of the Stress Function for Conical Flywheels by Miguel Garcia, Onofre Orozco-López, Jesús Uribe-Chavira, Andrés Blanco-Ortega

“…The results confirmed that the proposed analytical approach provides a reliable and efficient alternative to numerical methods in the design and optimization of conical flywheels, offering practical value for early-stage engineering analysis and reducing reliance on time-intensive simulations.…”
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A statistical and machine learning approach for monthly precipitation forecasting in an Amazon city by Ewerton Cristhian Lima de Oliveira, Eduardo Costa de Carvalho, Edmir dos Santos Jesus, Rafael de Lima Rocha, Rafael de Lima Rocha, Helder Moreira Arruda, Ronnie Cley de Oliveira Alves, Ronnie Cley de Oliveira Alves, Renata Gonçalves Tedeschi

“…As cited above, the VARMAX had the lowest avRMSE, which was obtained using a lag-1 value of exogenous variables. This is particularly noteworthy, as this same configuration not only produced the lowest RMSE for forecasts in 2022 but also highlighted the importance of relative humidity and solar radiation in enhancing predictive accuracy, even in the presence of data anomalies related to solar radiation measurements.…”
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Transversal competencies among Peruvian dental students in times of the COVID-19 pandemic by Dora N. Gómez-Meza, Víctor F. Lamas-Lara, Manuel A. Mattos-Vela, Teresa A. Evaristo-Chiyong, Luis A. Cuadrao-Zavaleta, Maria Eugenia Guerrero

“…The Friedman, Dunn‒Bonferroni post-hoc, Mann‒Whitney U, and Kruskal‒Wallis tests were used to compare the variables included in this study. The three categories of competencies exhibited similar median values (3), while four subcompetencies exhibited lower median values. …”
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Nonlinear heat equation with viscoelastic term: Global existence and blowup in finite time by Vu Ngo Tran, Dung Dao Bao

“…Subsequently, we demonstrate that the solution exhibits finite-time blowup for initial energy values that are both negative and nonnegative. …”
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SARIMA-based time series analysis of rainfall and temperature for the Tarai region of Uttarakhand by SHIVANI KOTHIYAL, SHUBHIKA GOEL, R. K. SINGH, AARADHANA CHILWAL, RAJEEV RANJAN

“…The software used the monthly input data for the years 1990-2017 to develop the best Seasonal Autoregressive Integrated Moving Average (SARIMA) model for forecasting the variables on monthly basis. The forecasted values using SARIMA for the time period (2018-2022) were used to validate the model against the observed data and it was observed that the SARIMA (0,0,0)(1,0,1)12 was found suitable for rainfall and minimum temperature prediction and SARIMA (0,0,2)(1,0,0)12 for maximum temperature prediction. …”
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Improved Permutation Entropy for Measuring Complexity of Time Series under Noisy Condition by Zhe Chen, Yaan Li, Hongtao Liang, Jing Yu

“…Measuring complexity of observed time series plays an important role for understanding the characteristics of the system under study. …”
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Enhancing Ability Estimation with Time-Sensitive IRT Models in Computerized Adaptive Testing by Ahmet Hakan İnce, Serkan Özbay

“…The results indicate that subtractive models, particularly DTA-IRT, achieved the lowest AIC/BIC values, highest AUC, and improved parameter stability, confirming their effectiveness in penalizing excessive response times without disproportionately affecting moderate-speed students. …”
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The Application of Near-Infrared Spectroscopy Combined with Chemometrics in the Determination of the Nutrient Composition in Chinese <i>Cyperus esculentus</i> L. by Xiaobo Jiao, Dongliang Guo, Xinjun Zhang, Yunpeng Su, Rong Ma, Lewen Chen, Kun Tian, Jingyu Su, Tangnuer Sahati, Xiahenazi Aierkenjiang, Jingjing Xia, Liqiong Xie

“…The optimal models for CO, CP, and TS exhibited coefficient of determination (R²) values of 0.8946, 0.8525, and 0.8778, with root mean square error of prediction (RMSEP) values of 1.1764, 0.7470, and 1.4601, respectively. …”
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“Oh FUors, Where Art Thou?”: A Search for Long-lasting Young Stellar Object Outbursts Hiding in Infrared Surveys by Carlos Contreras Peña, Jeong-Eun Lee, Ho-Gyu Lee, Gregory Herczeg, Doug Johnstone, Hanpu Liu, Philip W. Lucas, Zhen Guo, Michael A. Kuhn, Leigh C. Smith, Mizna Ashraf, Jessy Jose, Sung-Yong Yoon, Sung-Chul Yoon

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Wind Power Installed Capacity Forecast Based on a Two-Parameter Variable-Weight Buffer Operator and Subsidy Strategy Research by Ye Li, Xue Bai

“…The results show that both the GM(1,1) model based on the two-parameter variable-weight buffer operator and the GM(1,1) model with optimized background value have high fitting accuracy, with errors of 0.15% and 4.93%, respectively. …”
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Research on Pressure Control of Hydraulic System for Pump Controlled Anchor Drilling Machine Based on Variable Universe Fuzzy PID Algorithm by Zheng Yan, Guangwei Tang, Youshan Gao

“…To address significant pressure fluctuations in anchor drilling machine systems during the drilling and anchoring support of complex coal roadway surrounding rock, a variable universe fuzzy PID control strategy was proposed to regulate the speed of the servo motor. …”
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Step towards a general bankruptcy prediction model for listed non-financial firms: The use of accounting, market, and macroeconomic variables by Muhammad Saad, Rana Yassir Hussain, Hira Irshad

“…In addition, market variables: change in stock return, past excess return and market to book value impact the bankruptcy of firms. …”
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The Effect of Public Service and Financial Compensation and Professionalism on Employee Performance With Job Satisfaction As An Intervening Variable At Muara Wahau District Office by Emilia Susanti, Eka Yudhyani, Rusdiah Iskandar

“…Findings: Service motivation has no significant effect on employee job satisfaction Financial compensation has a significant effect on job satisfaction, professionalism has a significant effect on job satisfaction, Job satisfaction has a significant effect on employee performance, Service motivation has no significant effect on employee performance, Financial compensation has a significant effect on employee performance, Professionalism has a significant effect on employee performance, Public service motivation has no significant effect on employee performance through job satisfaction, Financial compensation has a significant effect on employee performance through job satisfaction, Professionalism has a significant effect on employee performance through job satisfaction Research limitations/implications: Time of research Originality/value: The originality of this study is based on several previous studies that have relatively similar characteristics in terms of research themes, although different in terms of subject criteria, number, and position of research variables or analysis methods used …”
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VARIABILITY IN LEVELS OF LOW-DENSITY LIPOPROTEINS CHOLESTEROL IN PATIENTS WITH FAMILIAL HYPERCHOLESTEROLEMIA DEPENDING ON AGE AND SEX AND ITS IMPORTANCE IN THE DIAGNOSIS OF THIS DI... by V. А. Korneva, T. Yu. Kuznetsova, G. P. Tihova

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The use of heart rate variability, oxygen saturation, and anthropometric data with machine learning to predict the presence and severity of obstructive sleep apnea by Rafael Rodrigues dos Santos, Matheo Bellini Marumo, Alan Luiz Eckeli, Helio Cesar Salgado, Luiz Eduardo Virgílio Silva, Renato Tinós, Rubens Fazan

“…Minimum oxygen saturation value during sleep (SatMin), the percentage of total sleep time the patient spent with oxygen saturation below 90% (T90), and patient anthropometric data were also considered as inputs to the models. …”
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Heart Rate Variability in Young Adults with Bronchial Asthma with and without Previous COVID-19 Infection: A Cross-sectional Study by Gunaseelan Deivendran, Thamarai Selvi Kanagaraj, Bhavisha Sreenivasan Leelabai, Nalini Jayanthi, Saravanan Ayyavoo

“…Introduction: Heart Rate Variability (HRV) is a validated, non invasive measure of Autonomic Nervous System (ANS) function. …”
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Comparison of sample preparation methods for higher heating values in various sugarcane varieties using near-infrared spectroscopy by Kantisa Phoomwarin, Khwantri Saengprachatanarug, Jetsada Posom, Seree Wongpichet, Kittipong Laloon, Arthit Phuphaphud

“…Spectral data were pre-processed using seven techniques to minimize noise, and four variable selection algorithms–Variable Importance in Projection, Successive Projection Algorithm, Genetic Algorithm, and correlation-based selection via Partial Least Squares Regression–were employed to improve modelling accuracy.In parallel, four machine learning models–AdaBoost Regressor, Gradient Boosting, K-Nearest Neighbors, and Random Forest–were applied to the same dataset for Higher heating value prediction. …”
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Differentiator circuits with scalable and electronically adjustable time constant and their application in phase shift evaluation by Roman Sotner, Ladislav Polak, Jiri Petrzela, Dmitrii Semenov, Lukas Langhammer, Winai Jaikla

“…The key novelty lies in their scalability, which allows for an enhanced time constant value by adjusting the ratio of resistors. …”
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Effects of individualized resistance training prescription with heart rate variability on muscle strength, muscle size and functional performance in older women by Diego Bittencourt, Ramon Martins de Oliveira, Deivid Gomes da Silva, João Guilherme Almeida Bergamasco, Marcelo de Castro Cesar, Daniela Godoi Jacomassi, Júlio Benvenutti Bueno de Camargo, J. Derek Kingsley, Cleiton Augusto Libardi

“…Measurements of RMSSD were performed within a five-day period to establish baseline values. The RMSSD values determined whether participants were recovered from the previous session. …”
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