Non-Destructive Detection of Soybean Storage Quality Using Hyperspectral Imaging Technology by Yurong Zhang, Wenliang Wu, Xianqing Zhou, Jun-Hu Cheng

“…Partial least squares regression (PLSR), support vector machine (SVM), and extreme learning machine (ELM) models were developed to predict crude fatty acid values of soybeans. The optimal model was used to visualize the dynamic distribution of these values. (3) Results: the crude fatty acid values exhibited a positive correlation with storage time, functioning as a direct indicator of soybean quality. …”
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A Fused Multiscale Pictorial Sequence Learning Mechanism Applied to Pavement Detection by Zhang Jiazhen, Wang Xiulai, Zhao Shuxu

“…Considering that most pavement anomaly detection algorithms are difficult to play a stable role in data related to different distributions of pavement anomalies, this paper proposes a pavement anomaly detection algorithm based on multi-scale fusion time series information. The algorithm iteratively extracts autoregressive latent variables at different time series scales to quantify dynamic regularity information. …”
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Time to recovery from diabetic ketoacidosis and its predictors among children with type 1 diabetes at selected governmental hospitals in Addis Ababa, Ethiopia; A five-year retrospe... by Shimeles Tefera Mamo, Tigistu Gebreyohannis Gebretensaye, Feven Mulugeta, Gemechu Gelan Bekele

“…The data were checked for completeness and entered into Stata version 16 for analysis. Variables with p -value < 0.05 in the multivariate Cox proportional hazards model were considered significant predictors of the time to recovery from diabetic ketoacidosis. …”
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Analysis of characteristic volatile flavor components of Huarong mustard based on HS-SPME-GC-MS and multivariate statistics by LI Ziyi, WANG Feng, ZHAO Lingyan, XU Yongbing, LUO Fenglian

“…A total of 14 characteristic volatile flavor components with variable projection importance (VIP) value &gt;1 and OAV&gt;1 were screened by OPLS-DA and OAV analysis. …”
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Experimental analysis of recycled engine oil tribofilms synthesized at mild temperature and comparison of optimal conditions using ANN and RSM by Negasa Abdena Alemu, Ramesh Babu Nallamothu, Getachew Alemayehu Lakew

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Investigation of commonly used assessment methods for predicting fall risk in the elderly by Aziz DENGİZ, Ahmet AYTEPE, Bayram SIRRI, Mehmet EFE

“…Results: The addition of independent variables significantly reduced the −2 Log Likelihood value (from 222.015 to 49.196), and the Nagelkerke R2 value was 0.865. …”
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Modelos univariados de séries temporais para previsão das temperaturas médias mensais de Erechim, RS Univariate time series methods for forecasting the monthly mean air temperature... by Leonardo Chechi, Fábio M. Bayer

“…<br>This paper presents a time series analysis of the minimum and maximum air temperature of Erechim, RS. …”
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Econometric analysis and modeling of the dynamics of the balance of payments’ development in Azerbaijan by N. S. Ayyubova

“…The constructed autoregressive model is quite adequate, demonstrates stationarity for the time series of the dependent variable and can be considered suitable for predictive values of the current account of the balance of payments. …”
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Reference values for the 1-minute sit-to-stand test to assess functional capacity and short-term mortality in people with idiopathic pulmonary fibrosis and fibrotic connective tiss... by Meng-Yun Tsai, Kuo-Tung Huang, Chiann-Yi Hsu, Yi-Hsuan Yu, Pin-Kuei Fu

“…Using ≤ 23 repetitions as the cutoff value for the 1MSTS to predict 18-month mortality, the mortality rate was 76.4%, with an AUC of 0.81. …”
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Modeling Short-Term Passenger Flows in Metro and Bus Systems Using Meteorological Data: Deep Learning Model Comparisons by Cafer Yazıcıoğlu, Ali Payıdar Akgüngör

“…Among these, the Nonlinear Autoregressive Network with Exogenous Inputs (NARX) time series model produced the lowest error values, achieving a high level of accuracy. …”
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Pilot protection based on Hough fault index for lines connecting BESSs by Yingyu Liang, Xing Wang, Anping Hao, Xiaoyang Yang, Chenwei Tian

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A visualized nomogram to predict intravenous immunoglobulin resistance in Kawasaki disease: a study based on the population in Southern China by Xinping Lin, Yunsong Li, Sihuang Chen, Shiteng Lin, Xiaoqing Yang, Wei Zhuang

“…Results A total of 541 KD patients were finally enrolled in the present study, and 7.6% of KD patients suffered from IVIG-resistant. The predictive value of coagulation indicators for IVIG-resistance may be limited except for activated partial thromboplastin time (APTT). …”
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Intervalos de tiempo para el diagnóstico y tratamiento en pacientes con cáncer de mama by Blanca Sánchez Galindo, Jesús López-Torres Hidalgo, Ángel López González, Carmen María Sánchez Martínez, Marta Castaño Díaz, Joseba Rabanales Sotos

“…Resumen: Objetivo: Describir la demora diagnóstica del cáncer de mama en atención primaria e identificar las variables de las pacientes, del proceso asistencial y de la enfermedad que intervienen en la demora hasta el diagnóstico y el tratamiento. …”
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Assessing the necessity of technical replicates in reverse transcription quantitative PCR by Eleni Christoforidou, Majid Hafezparast

“…The use of technical triplicates in RT-qPCR aims to minimize variability and improve reliability but increases reagent consumption, labor, and time. …”
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Predicting Dysglycemia in Patients with Diabetes Using Electrocardiogram by Ho-Jung Song, Ju-Hyuck Han, Sung-Pil Cho, Sung-Il Im, Yong-Suk Kim, Jong-Uk Park

“…<b>Results:</b> The dysglycemia prediction results at each time point, including at the time of blood glucose measurement, 15 min prior to measurement, and 30 min prior to measurement, exhibited no significant differences compared with the blood glucose measurement values. …”
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A novel model describing blood pressure profiles by Sabina Schlottau, Willi Cawello, Stephanie Läer

“…Differences emerged in the level of blood pressure, the fluctuation, and the sleep times, which revealed individual characteristics in the daily blood pressure curves.DiscussionThis novel blood pressure model can be used to visualize blood pressure profiles for several days and enables the assessment of the intra- and inter-individual variability of blood pressure.…”
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Analysis of the Impact of Global Oil Prices On GDP (on the Example of the Azerbaijan Republic) by N. S. Ayyubova

“…The responses of the impulse function to the independent variables of the model were studied by the method of graphical representation based on the values of the model and its residuals.Results. …”
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Refining α-synuclein seed amplification assays to distinguish Parkinson’s disease from multiple system atrophy by James A. Wiseman, Clinton P. Turner, Richard L. M. Faull, Glenda M. Halliday, Birger Victor Dieriks

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The Influence of AI-Powered Platforms on Tourist Spending: The Role of Engagement, Trust, and Moderating Factors in Taiwan by Kapriani, St. Hatidja, Muhammad Azizurrohman

“…The results reveal that quality recommendations, user engagement, and trust significantly affect tourist spending patterns. Perceived value mediates these relationships, while destination familiarity and economic background moderate their influence, particularly for first-time visitors and high-income tourists. …”
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Drying Apple Slices in a Rotating-Tray Convective Dryer: A Study on Dehydration Characteristics and Qualitative Attributes by Hamid Ghasemkhani, Farhad Khoshnam, Mohamad Reza Kamandar

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