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Publications - 6289

Integrating footwear features into fatigue prediction models for marathon runners: A hybrid CNN-LSTM approach

Yaodong Gu Dong Sun Yang Song Zixiang Gao Xuanzhen Cen Zhenghui Lu Yufan Xu Chengyuan Zhu Chen Hu

Publication Name: Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Footwear design, especially the curvature of carbon plates, may influence fatigue perception, but few studies have integrated footwear features into fatigue prediction models. This study aimed to develop a hybrid CNN-LSTM model to predict runners’ fatigue states and evaluate the impact of footwear characteristics on fatigue perception. Twelve male marathon runners (age = 21.8 ± 1.3 years; body mass = 59.1 ± 4.1 kg; height = 168.9 ± 2.2 cm; and weekly mileage = 68.8 ± 5.5 km) participated. They wore two types of carbon-plated shoes (flat plate, FP, and curved plate (CP)) and ran at a steady pace (Borg score 13) until a Borg score of 16 or 85% of maximum heart rate was reached for 2 min. EMG signals and physiological data were collected during treadmill running. A hybrid CNN-LSTM model was trained with and without footwear features to predict fatigue states. The model with footwear features achieved 85% accuracy, compared to 69% without. Curved carbon plate (CP) shoes delayed semi-fatigue onset, indicating better initial support, but the time to full fatigue was similar for both shoe types. The CNN-LSTM model effectively predicted fatigue states, with significant improvement when footwear features were included. Footwear design, particularly carbon plate curvature, influenced fatigue perception.

Open Access: Yes

DOI: 10.1177/17543371251356133

Wheel-Speed-Sensor-Based Spectral Classifier for Road Surface Roughness

Zoltan Marton Istvan Szalay Denes Fodor

Publication Name: IEEE Open Journal of Vehicular Technology

Publication Date: 2026-01-01

Volume: 7

Issue: Unknown

Page Range: 829-843

Description:

In this paper, we propose a novel signal processing method for road surface roughness classification exclusively from wheel speed sensor signals. Road surface quality has a significant impact on fuel consumption and driving safety. Traditionally, it has been measured using specially equipped vehicles and, more recently, shared via cloud-based infrastructure; however, such data can be unavailable or quickly become outdated, making onboard solutions essential. We analyzed a large wheel speed sensor dataset from various test maneuvers to determine how road surface roughness influences spectral characteristics under different conditions, including changes in speed, tire pressure, payload, and tire type. The proposed road surface roughness classifier uses only wheel speed sensor signals. It selects signal segments appropriate for processing based on driving conditions and computes their order spectra. The number and relative power of the spectral peaks within the identified interval of interest of the order spectrum are related to road surface roughness. The implemented classifier is capable of distinguishing between rough and smooth road surfaces based on the number of peaks in the interval of interest. The overall accuracy of the implemented road surface roughness classifier was 87.4%.

Open Access: Yes

DOI: 10.1109/OJVT.2026.3656339

The possibility of patient-centered dietetic intervention in the context of health literacy in Hungary

Helga Judit Feith Ida Ercsey Zsuzsanna Szucs Anita Horkai

Publication Name: Frontiers in Nutrition

Publication Date: 2026-01-01

Volume: 12

Issue: Unknown

Page Range: Unknown

Description:

Introduction: Non-communicable diseases (NCDs) accounted for 74% of global deaths in 2024, with over 41 million people dying. The WHO has identified reducing behavioral and metabolic risk factors as a priority intervention. In modern healthcare, patient-centered care plays a key role by addressing individual needs, lifestyles, and motivations, thereby enhancing the effectiveness of prevention and behavior change. Food-based dietary guidelines (FBDG), such as Hungary’s OKOSTÁNYÉR®, are vital in prevention and medical nutrition therapy. However, the effectiveness of such dietary interventions largely depends on individuals’ health literacy. Objectives: This study aimed to explore the relationship between health literacy, dieting habits, dietary counseling, and awareness of the local FBDG recommendations. Methods: This cross-sectional study was conducted in February 2023 on a representative sample (N = 500) of the adult Hungarian population, using the CAWI method. Data were collected with the validated HLS-EU 47-item questionnaire and additional custom items on health status, dieting, and awareness of the local FBDG. Health literacy indexes were calculated using validated thresholds. Descriptive statistics, chi-square tests, ANOVA, and multivariate regression analyses were applied (p < 0.05). Results: A total of 77.4% of respondents had low (insufficient or problematic) health literacy. Higher education levels and younger age were significantly associated with better health literacy. Chronic diseases were more prevalent in low health literacy groups. About 32.4% of respondents followed a medically indicated diet, and 36.8% had received dietary counseling. Awareness of the local FBDG was relatively low (20.8%), particularly among men and those with lower education. Conclusion: Patient-centered care necessitates a high level of health literacy, enabling patients to actively participate in their therapy. Findings of the study highlight that low health literacy in the Hungarian population poses a major challenge to the success of dietary interventions. Targeted health communication strategies and tailored dietetic support are essential to improve the effectiveness of personalized nutrition care, particularly among vulnerable groups with limited health literacy.

Open Access: Yes

DOI: 10.3389/fnut.2025.1668048

Loading simulations of carbon nanotube junctions

Ibolya Zsoldos T. Pataki

Publication Name: Materials Science Forum

Publication Date: 2013-01-01

Volume: 729

Issue: Unknown

Page Range: 162-168

Description:

Weakest points of carbon nanotube junctions have been determined by molecular mechanical algorithms. This algorithm is based on the application of the so-called Brenner potential function, atomic forces are calculated from the derivatives of the potential function describing the energetics. Behavior of various types of symmetric Y-junctions is studied with respect to axial tensile load. © (2013) Trans Tech Publications, Switzerland.

Open Access: Yes

DOI: 10.4028/www.scientific.net/MSF.729.162

Are Halal Food Supply Chains Sustainable: A Review And Bibliometric Analysis

Suhaiza Zailani Abderahman Rejeb Karim Rejeb

Publication Name: Journal of Foodservice Business Research

Publication Date: 2021-01-01

Volume: 24

Issue: 5

Page Range: 554-595

Description:

Halal food supply chains (HFSCs) are increasingly characterized by fragmentation, complexity, and uncertainty. Halal food consumers are becoming more demanding for food quality and compliance with Islamic dietary law. As sustainability is a multidimensional concept that entails several aspects and interpretations, the objectives of HFSCs significantly overlap with the sustainable dimensions of the food ecosystem. The purpose of this study is to examine the inherent sustainable aspects and characteristics of HFSCs. Therefore, a systematic literature review and a bibliometric analysis were conducted to redress the lack of academic attention being given to the relationships of HFSCs with sustainability. Selected 74 papers were coded and analyzed according to the dimensions of sustainability, namely, the economic, social, and environmental dimensions. The review primarily attempts to provide answers to the following research question: What are the sustainable aspects of HFSCs? We provide a comprehensive analysis of the three critical components of sustainability, offering a broad and comprehensive picture of many critical issues in HFSCs. Finally, the contribution of the study, the scope of future research, and the limitations are highlighted in detail.

Open Access: Yes

DOI: 10.1080/15378020.2021.1883214

Preface

Vikas Sharma Vikas Sharma

Publication Name: Sustainable Finance and Esg Investing Integration and Performance

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: xiv

Description:

No description provided

Open Access: Yes

DOI: DOI not available

Comparison of ultrasound-assisted extraction and modified QuEChERS technique for extraction of hesperidin from lemon peel (Citrus limon L.) as determined by HPLC

E. Lakatos Székelyhidi Rita Beatrix Sik Laura Végh Zsolt Ajtony

Publication Name: Journal of Food Composition and Analysis

Publication Date: 2025-06-01

Volume: 142

Issue: Unknown

Page Range: Unknown

Description:

Hesperidin (HSP) is a bioflavonoid known for its notable health benefits. Recent extraction strategies have aimed to minimize hazardous solvent use and simplify procedures to improve cost-effectiveness. This study compares ultrasound-assisted extraction (UAE) with a modified “quick, easy, cheap, effective, rugged, and safe” (QuEChERS) method for the recovery of HSP. High-performance liquid chromatography with diode array detection (HPLC-DAD) was used for quantification. The modified QuEChERS method resulted in the highest extraction efficiency while significantly reducing processing time. The validated method demonstrated excellent sensitivity (LOQ: 10.0 µg/mL), high accuracy (recovery >93 %), and good precision (RSD <3.4 %), making it a reliable and cost-effective approach for routine HSP analysis in citrus peel. These findings indicate that the modified QuEChERS technique offers a promising alternative to UAE for the rapid and efficient extraction of HSP.

Open Access: Yes

DOI: 10.1016/j.jfca.2025.107553

Heartbeat Estimation from Subtle Body Vibrations via Inertial Sensing

Patrik Gabor Rozsa Szilvia Nagy

Publication Name: 60th International Scientific Conference on Information Communication and Energy Systems and Technologies Icest 2025 Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper presents a cost-conscious signal processing pipeline for detecting heartbeats from faint body vibrations using a single back-mounted inertial measurement unit (IMU). The system operates without ECG or PPG sensors, relying solely on accelerometer and gyroscope data. The pipeline is designed with the intent to run on lightweight edge-computing platforms, such as Raspberry Pi-class devices or even on a ESP32, while prioritizing energy efficiency and user-friendliness for extended battery-powered use. Preliminary validation against manually recorded heart rates demonstrates feasibility with limitations.

Open Access: Yes

DOI: 10.1109/ICEST66328.2025.11098443

A Decision Framework for Course Recommendation Using Basic Uncertain Linguistic Information Soft Sets

Dragan Pamucar Zhifu Tao Peitao Qin

Publication Name: Decision Making Applications in Management and Engineering

Publication Date: 2025-01-01

Volume: 8

Issue: 2

Page Range: 165-184

Description:

The aim of this paper is to provide fundamental theoretical studies on basic uncertain linguistic information soft set (BULISS). Firstly, the combination of basic uncertain linguistic information and soft set is introduced. Next, set operations and similarity measure on basic uncertain linguistic information soft sets and their properties are discussed. A novel application of basic uncertain linguistic information soft set to multi-criteria group decision making is put forward, in which the similarity measure between any two BULISSs is developed. A group decision algorithm by utilizing traditional decision procedure of soft set theory (or fuzzy soft set theory) and optimization method is given. Finally, a case study relating to curriculum recommendation is shown to illustrate feasibility and validity of the developed group decision making approach.

Open Access: Yes

DOI: 10.31181/dmame8220251494