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New Research Breakthrough from EST! Numerical Study Reveals Key Insights into Hypersonic Vortex Dynamics at Mach 5.0. Fi...
24/07/2025

New Research Breakthrough from EST! Numerical Study Reveals Key Insights into Hypersonic Vortex Dynamics at Mach 5.0. Findings show: ① Ring-like vortices become indistinct vs Mach 2.5 flows ② First two POD modes capture >38% energy ③ Laminated vortex patterns emerge from boundary layer interactions. This work advances MVG design for hypersonic vehicles, improving stability & thermal management. Read the Full Paper: https://ojs.wiserpub.com/index.php/EST/article/view/7062

A large amount of time series data is increasingly being collected in different fields. In order to make good use of thi...
24/07/2025

A large amount of time series data is increasingly being collected in different fields. In order to make good use of this large amount of time series data, it is necessary to solve the problems of high storage costs and transmission bandwidth that the data bring. To demonstrate the superior performance of Pongo, we conducted extensive experiments comparing it with ten leading compression algorithms across twenty-two different datasets. On average, Pongo achieves a compression ratio that is 14% better than Elf and 58% better than Gorilla, making it the top-performing algorithm among all those tested, as shown through both mathematical analysis and practical testing.
More detailed information, please visit: https://ojs.wiserpub.com/index.php/CCDS/article/view/7102

A large amount of time series data is increasingly being collected in different fields. In order to make good use of thi...
24/07/2025

A large amount of time series data is increasingly being collected in different fields. In order to make good use of this large amount of time series data, it is necessary to solve the problems of high storage costs and transmission bandwidth that the data bring. To demonstrate the superior performance of Pongo, we conducted extensive experiments comparing it with ten leading compression algorithms across twenty-two different datasets. On average, Pongo achieves a compression ratio that is 14% better than Elf and 58% better than Gorilla, making it the top-performing algorithm among all those tested, as shown through both mathematical analysis and practical testing.

More detailed information, please visit: https://ojs.wiserpub.com/index.php/CCDS/article/view/7102

In this paper, numerical simulations are carried out for the heat transfer of granular multiphase flow in a preheating f...
24/07/2025

In this paper, numerical simulations are carried out for the heat transfer of granular multiphase flow in a preheating furnace. In the preheating furnace hot air passes through a granular medium with a large particle size (> 1 cm) moving in a packed bed state. Here, a granular medium with a large particle size was considered as one with unilateral incompressibility. This method differs from the Eulerian method based on kinetic theory for granular flow. Also, the calculation of the thermal conductivity in packed bed of granular material used in the discrete element method was modified to fit the continuum model. https://ojs.wiserpub.com/index.php/SCE/article/view/7173

This study explores the impact of academic self-concept on learning engagement among college students, emphasizing the m...
23/07/2025

This study explores the impact of academic self-concept on learning engagement among college students, emphasizing the mediating role of teacher expectations. Based on data from 280 participants, the findings reveal a significant positive correlation between students’ academic self-concept and their learning engagement. Importantly, teacher expectations act as a key mediator in this relationship, shaping how students perceive themselves academically and influencing their level of engagement. The study underscores the dual importance of fostering strong academic self-concepts and cultivating supportive teacher expectations. These insights provide valuable guidance for educators seeking to create learning environments that enhance student motivation, confidence, and academic involvement. For details, please visit: https://ojs.wiserpub.com/index.php/SER/article/view/6772




Discover how first-year international students experience learning-related emotions through a comprehensive study ground...
23/07/2025

Discover how first-year international students experience learning-related emotions through a comprehensive study grounded in the component process model of achievement emotions. Drawing on data from over 14,000 students across 14 academic years, this research critically examines the structural validity of the Achievement Emotion Questionnaire (AEQ), with a special focus on affective, cognitive, motivational, and physiological components. Notably, findings challenge the robustness of the physiological component of enjoyment, raising important questions about its alignment with the control-value theory. Using advanced factor analysis and hierarchical regression, the study also explores gender-specific emotional patterns and their links to academic control, intrinsic, and extrinsic values. A must-read for scholars in educational psychology and emotion research. For details, please visit: https://ojs.wiserpub.com/index.php/SER/article/view/6814

The results presented in this work focus on the construction of two classes of shrinkage estimators for a Multivariate N...
22/07/2025

The results presented in this work focus on the construction of two classes of shrinkage estimators for a Multivariate Normal Mean (MNM) and studying their performance according to the Balanced Loss Function (BLF). First, we introduce a class of estimators derived from the Maximum Likelihood Estimator (MLE) and provide a sufficient condition on the shrinkage function to improve upon the MLE. Then, from the MLE and the James-Stein Estimator (JSE) we build a new class of estimators, and under a simple practical condition, we show that their risks are no greater than those of the JSE, which explains why they perform better. We conclude the paper with numerical results that confirm the performance of the proposed estimators. Please visit: https://ojs.wiserpub.com/index.php/CM/article/view/7216

NEW RESEARCH OPPORTUNITYThe Journal of Engineering Science & Technology (EST) invites submissions to our exciting Specia...
22/07/2025

NEW RESEARCH OPPORTUNITY
The Journal of Engineering Science & Technology (EST) invites submissions to our exciting Special Issue!

Theme: Advancing Superalloy-Coating Systems
Submission Deadline: June 2026.
✅ Open Access
✅ Rigorous Peer Review
✅ Interdisciplinary Focus

Visit the following link for details:
https://ojs.wiserpub.com/index.php/EST/announcement/view/522

Guest Edited by Dr. Xipeng Tao from Institute of Metal Research Chinese Academy of Sciences, Shenyang, China.

Tag colleagues who might be interested!

Special Issue (SI): Advancing Superalloy-Coating Systems 2025-07-18 Overview Superalloys, particularly nickel-based and cobalt-based systems, have become indispensable structural materials in modern high-temperature applications due to their remarkable combination of mechanical strength, oxidation r...

22/07/2025

Call for Papers!
Special Issue on "Surface Engineering for Sustainability and Reliability" in EST journal.
- Submission Deadline: January 31, 2026.
- Topics:
Biomaterial Surfaces
High-Temperature Applications
Green Energy Surfaces
Micro/Nano-structured Surfaces
Artificial Intelligence in Surface Engineering
Advanced Coatings
Tribological Solutions
Comprehensive Reviews
- Guest Edited by Prof. Yassmin Seid Ahmed, King Fahd of Petroleum and Mineral, Saudi Arabia.
- Details: https://ojs.wiserpub.com/index.php/EST/announcement/view/482
- Submit Options:
OJS: https://ojs.wiserpub.com/index.php/EST/about/submissions
Email: [email protected]

22/07/2025

Engineering Science & Technology (EST) Invites Your Cutting-Edge Research Submissions!
We're pleased to announce our new Special Issue: "Hybrid Energy Management Solutions for the Next Generation of Electric Vehicles"!
This collection seeks cutting-edge research on:
• Advanced optimization techniques for energy management.
• Machine learning and AI-driven hybrid EMS.
• Integration of renewable energy sources into EVs.
• Battery-supercapacitor hybrid systems.
• Fuel cell and battery hybridization.
• Model predictive control and real-time management strategies.
• Impact of hybrid EMS on EV battery health and lifespan.
• Case studies and field trials demonstrating practical applications.
Guest Edited by Dr. Peng Mei [Politecnico di Milano, Italy] & Dr. Cong Huang [Nantong University, China]
Submit by October 1, 2025.
https://ojs.wiserpub.com/index.php/EST/announcement/view/495

This study explores novel quiescent optical soliton solutions to the Radhakrishnan-Kundu-Lakshmanan (RKL)equation, a sig...
18/07/2025

This study explores novel quiescent optical soliton solutions to the Radhakrishnan-Kundu-Lakshmanan (RKL)equation, a significant model in nonlinear optics. Utilizing three distinct analytical methods, which are the modified extended Tanh-function method, the addendum to Kudryashov method, and the Kudryashov’s auxiliary equation method, we derive an array of new quiescent optical soliton solutions, including dark, singular, bright, and bright-dark solitons. Please visit: https://ojs.wiserpub.com/index.php/CM/article/view/7104

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