Fault diagnosis of planetary gearboxes based on bispectral composite spectral features of torsional vibration modulation signals by ZHANG Yibao, HU Lei, XU Yuandong, SONG Xinkai

“…ObjectiveCompared with the linear vibration signal, the planetary wheel torsional vibration signal is not affected by the planetary wheel passing effect and the signal transmission path, and the spectral structure is simpler. …”
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The effects of strain rate on nonlinear seismic behavior of concrete gravity dam by sara saemi ghassabmale, Amir Javad Moradloo

“…The complete fluid-structure interaction was considered in the analyses. …”
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The Utilization of Partial Least Squares for Simultaneous Feature Selection and Extraction by Elisavet Beki, Ntotsis Kimon

“…In such manner we are able to remove the uninformative variables and obtain in most cases better results than the classical Partial Least Squares regression but with simpler structure. We compare our proposed technique with the classical Partial Least Squares and Principal Component Analysis in both univariate and multivariate regression. …”
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Multivariate response directional regression: a projective resampling approach by Ahreum Lee, Kyongwon Kim

“…Abstract In high dimensional data analysis, directional regression is a widely used method for implementing linear sufficient dimension reduction by extracting core information from the complex data structure. …”
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Evolating by Judith Wright, Robert Wright, Gordon Medlock

“…The theory has been used to structure the experiential and academic educational programs of the Foundation, including a graduate-level university curriculum in transformational coaching and leadership and an organizational consulting practice. …”
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Network quality and user perception improvement of high-speed rail scene by Songbai LIANG, Yingwu GUO, Xinwei LI

“…In view of the difficulty in improving the quality of mobile network in high-speed railway scenes and the poor efficiency of conventional methods, a methodology system for improving the perception of mobile communication users was explored in traffic trunk lines, especially in high-speed railway scenes.The methodology system was based on handover chain optimization with the core idea of “primary covering, reasonable reselection and orderly switching”.It adopted a three-layer theoretical structure include covering control firstly, then parameter optimization, and feature loading last.It used idle state and service state data pull graph correlation to determine problem road sections and cells, match the delay parameters of high-speed mobile scenes, load service quality and perception characteristics, and greatly improved the high-speed railway network quality and user perception.This method started from the principle analysis, with practical application, it could effectively solve the network problems, which could be fully extended to other linear scenes.…”
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The influence of socioeconomic factors on the knowledge of reptiles and mammals in the Lençóis Maranhenses National Park, Northeast Brazil by Pedro Victor Cardoso dos Santos, Felipe Silva Ferreira, Samuel Vieira Brito

“…Data were collected through semi-structured questionnaires and open-ended interviews, resulting in records of 36 species (plus 6 identified only at genus level) in 33 families and 10 orders, of which 53% were non-avian reptile and 47% mammals. …”
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From Crisis to Opportunity: Digital Transformation, Digital Business Models, and Organizational Resilience in the Post-Pandemic Era by António Cardoso, Jorge Figueiredo, Isabel Oliveira, Margarida Pocinho

“…Data were collected through a structured online survey with 320 valid responses from decision-makers across various sectors. …”
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An examination of the relationship between self-confidence and bullying among adolescent athletes and non-athletes by Satmyrza Mamikov, Ainur Abdullayeva

“…Methodology: a quantitative cross-sectional study was conducted with 300 adolescents, categorized as athletes and non-athletes. participants completed a structured questionnaire on bullying and self-confidence. analyses included logistic regression, Chi-square tests, One-way ANOVA, MANOVA, and multiple linear regression for moderation effects. …”
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Effect of Adoption Intensity of Climate Smart Agriculture on Farming Households’ Food Security in Ethiopia: Empirical Evidence From Guna Begemider District, South Gonder by Mekdes Teklemichael, Abate Mekuriaw

“…This paper assessed the adoption intensity of CSA practices and their effect on food security among farming households in Guna Begemider district, South Gonder Zone, Ethiopia. A semi-structured questionnaire was administered among 217 randomly selected households from four kebeles of the district. …”
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Analyzing Uncertainty and Hesitation in Refereeing Decision using Neutrosophic Vague N-Soft Sets: A Case Study of Officiating Ability Evaluation for National-Level Volleyball Refer... by Haikui Zhou, Xiang Zhong

“…Our framework integrated expert linguistic evaluations across multiple criteria into a structured NVNSS decision matrix. Then, we propose a risk-aware degree of support to quantify each referee’s performance under uncertainty, followed by a discrete rating assignment. …”
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The statistical relationship between sweet consumption and academic achievement among Palestinian university students: a cross-sectional study by Inad Nawajah

“…Data on academic performance (self-reported GPA), sweet consumption frequency, and potential confounders (demographics, BMI, parental education, income, breakfast consumption, physical activity, and mental health via the Strengths and Difficulties Questionnaire) were collected using structured questionnaires. Multiple linear regression models were used to assess associations. …”
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THE INVISIBLE HANDS IN THE PRODUCTION OF GHANA’S PREMIUM COCOA: WOMEN AS KEY CONTRIBUTORS by Tania Ayine Akolgo, John-Eudes Andivi Bakang, Enoch Kwame Tham-Agyekum

“…Data were collected through the use of structured questionnaires. Descriptive and inferential statistics such as percentages, mean, standard deviations, frequencies, multiple linear regression were used for the data analysis. …”
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Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform by Manuylovich Egor, Stoliarov Dmitrii, Saad David, Turitsyn Sergei K.

“…Our up-sampling approach utilizes a trainable encoding mask, where each input symbol is replaced with a structured sequence of masked symbols, effectively increasing the representational capacity of the feature space. …”
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Boosting Barlow Twins Reduced Order Modeling for Machine Learning‐Based Surrogate Models in Multiphase Flow Problems by T. Kadeethum, V. L. S. Silva, P. Salinas, C. C. Pain, H. Yoon

“…BBT‐ROM builds upon Barlow Twins reduced order modeling that leverages self‐supervised learning to effectively handle linear and nonlinear manifolds by constructing well‐structured latent spaces of input parameters and output quantities. …”
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A New Technique to Solve Game Matrix with Neutrosophic Payoffs by Jitendra Singh, Ritika Chopra, Ratnesh R. Saxena, Pankaj Kumar Garg

“…This article develops a more structured technique to solve neutrosophic game matrix with payoffs as Single Valued Trapezoidal Neutrosophic (SVTrN) numbers. …”
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Embracing the tension: managing short-term horizons in long-term transitions by Claire Beach, Sitong Michelle Chen, Michael SW Lee, Richard Starr

“…The data, consisting of semi-structured interviews and observations, is then analysed using applied thematic analysis, revealing actionable strategies for managing the intertemporal tensions that arise during sustainable transitions. …”
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The impact of fall armyworm on subsistence farmers in the Limpopo Province of South Africa by Tlou D. Raphela, M. Mafadza

“…Lastly, the study assessed the impact of the fall armyworms on the food security of the farmers and their families. The study used a structured questionnaire to collect the data and applied several Generalized Linear Models (GLMs) and one ordinal Regression to analyse the data for this study with a sample size of 82. …”
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Verification of fast ion and rotation effects on turbulence through comparison of GENE and CGYRO with L-mode plasmas in KSTAR by Donguk Kim, Taeuk Moon, Choongki Sung, Eisung Yoon, Sumin Yi, Jisung Kang, Jae-Min Kwon, Tobias Görler, Emily Belli, Jeff Candy

“…These findings indicate the necessity for further investigation into these discrepancies and the novel phase angle structures observed, contributing to the advancement of accurate transport predictions in fusion plasmas. …”
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Fractal approach to geological and economic assessment of germanium-bearing lignites by O. I. Bilous, M. S. Burlutskyy

“…Traditional methods of estimating lignite reserves and predicting germanium content frequently fail to consider the complex structural and genetic heterogeneity of coal deposits. …”
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