MDPI - Publisher of Open Access Journals

10 pages, 717 KiB

Open AccessBrief Report

Systematic Analysis of UFMylation Family Genes in Tissues of Mice with Metabolic Dysfunction-Associated Steatotic Liver Disease

by Mingdi Jiang, Chenlu Zhang, Zhengyao Zhang, Yingying Duan, Shuaiyong Qi, Qingyu Zeng, Jiabao Wang, Jiawen Zhang, Yu Jiang, Ying Wang, Yi Chen and Jiang Liu

Genes 2025, 16(1), 31; https://doi.org/10.3390/genes16010031 (registering DOI) - 27 Dec 2024

Abstract

Background/Objectives: UFMylation, a newly identified ubiquitin-like modification, modulates a variety of physiological processes, including endoplasmic reticulum homeostasis maintenance, DNA damage response, embryonic development, and tumor progression. Recent reports showed that UFMylation plays a protective role in preventing liver steatosis and fibrosis, serving as [...] Read more.

Background/Objectives: UFMylation, a newly identified ubiquitin-like modification, modulates a variety of physiological processes, including endoplasmic reticulum homeostasis maintenance, DNA damage response, embryonic development, and tumor progression. Recent reports showed that UFMylation plays a protective role in preventing liver steatosis and fibrosis, serving as a defender of liver homeostasis in the development of metabolic dysfunction-associated steatotic liver disease (MASLD). However, the regulation of UFMylation in MASLD remains unclear. This study aimed to determine the expressed patterns of UFMylation components in multiple tissues of leptin-deficient ob/ob mice and high-fat diet (HFD)-fed mice, which are mimicking the conditions of MASLD. Methods: The ob/ob mice and HFD-fed mice were sacrificed to collect tissues indicated in this study. Total RNA and proteins were extracted from tissues to examine the expressed patterns of UFMylation components, including UBA5, UFC1, UFL1, DDRGK1, UFSP1, UFSP2 and UFM1, by real-time PCR and western blot analysis. Results: The protein levels of UBA5, UFC1 and UFL1 were down-regulated in liver, brown adipose tissue (BAT) and inguinal white adipose tissue (iWAT), whereas the messenger RNA (mRNA) levels of Ufl1 and Ufsp1 were both decreased in skeletal muscle, BAT, iWAT and epididymal white adipose tissue (eWAT) of ob/ob mice. In contrast, the mRNA levels of Ufsp1 in skeletal muscle, BAT, iWAT and heart, and the protein levels of UFL1 were decreased in BAT, iWAT, heart and cerebellum of HFD-fed mice. Conclusions: Our findings established the expressed profiles of UFMylaiton in multiple tissues of mice mimicking MASLD, indicating an important regulation for UFMylation in these tissues’ homeostasis maintenance. Full article

(This article belongs to the Section Molecular Genetics and Genomics)

16 pages, 546 KiB

Open AccessArticle

Occurrence and Exposure Assessment of Zearalenone in the Zhejiang Province, China

by Zijie Lu, Ronghua Zhang, Pinggu Wu, Dong Zhao, Jiang Chen, Xiaodong Pan, Jikai Wang, Hexiang Zhang, Xiaojuan Qi, Qin Weng, Shufeng Ye and Biao Zhou

Toxins 2025, 17(1), 9; https://doi.org/10.3390/toxins17010009 (registering DOI) - 27 Dec 2024

Abstract

This study aims to examine the hazards of zearalenone (ZEN) to humans and assess the risk of dietary exposure to ZEN, particularly in relation to precocious puberty in children from the Zhejiang Province. The test results from five types of food from the [...] Read more.

This study aims to examine the hazards of zearalenone (ZEN) to humans and assess the risk of dietary exposure to ZEN, particularly in relation to precocious puberty in children from the Zhejiang Province. The test results from five types of food from the Zhejiang Province show that corn oil has the highest detection rate of 87.82%. The levels of ZEN do not exceed the existing safety standards in any sample investigated in this study. According to the data from the Food Consumption Survey of Zhejiang Province residents, rice is the primary source of ZEN exposure, accounting for 55.85% of total exposure among all age groups. Based on the 50th exposure percentile, it would take 6.25 years of rice consumption to reach 1 year of safe ZEN exposure. Overall, the majority of the residents in the Zhejiang Province have a low risk of exposure to ZEN. In an extreme case (based on the 95th exposure percentile), the total ZEN exposure from the studied foods with respect to children aged ≤ 6 years and 7–12 years is 0.38 μg/kg b.w. and 0.26 μg/kg b.w., respectively—both exceeding the safety limit of 0.25 μg/kg b.w. set by the European Food Safety Authority, indicating a potential risk of exposure. Precocious puberty assessments show that ZEN exposure levels in children in the Zhejiang Province are significantly lower than those associated with precocious puberty; thus, precocious puberty is unlikely to occur in this area. Given ZEN’s estrogenic effect, it is necessary to monitor the level of ZEN in different food items, revise the relevant standards as needed, and focus on exposure to ZEN in younger age groups. Full article

25 pages, 2646 KiB

Open AccessArticle

Fusion-Based Damage Segmentation for Multimodal Building Façade Images from an End-to-End Perspective

by Pujin Wang, Jiehui Wang, Qiong Liu, Lin Fang and Jie Xiao

Buildings 2025, 15(1), 63; https://doi.org/10.3390/buildings15010063 (registering DOI) - 27 Dec 2024

Abstract

Multimodal image data have found widespread applications in visual-based building façade damage detection in recent years, offering comprehensive inspection of façade surfaces with the assistance of drones and infrared thermography. However, the comprehensive integration of such complementary data has been hindered by low [...] Read more.

Multimodal image data have found widespread applications in visual-based building façade damage detection in recent years, offering comprehensive inspection of façade surfaces with the assistance of drones and infrared thermography. However, the comprehensive integration of such complementary data has been hindered by low levels of automation due to the absence of properly developed methods, resulting in high cost and low efficiency. Thus, this paper proposes an automatic end-to-end building façade damage detection method by integrating multimodal image registration, infrared–visible image fusion (IVIF), and damage segmentation. An infrared and visible image dataset consisting of 1761 pairs encompassing 4 main types of façade damage has been constructed for processing and training. A novel infrared–visible image registration method using main orientation assignment for feature point extraction is developed, reaching a high RMSE of 14.35 to align the multimodal images. Then, a deep learning-based infrared–visible image fusion (IVIF) network is trained to preserve damage characteristics between the modalities. For damage detection, a relatively high mean average precision (mAP) result of 85.4% is achieved by comparing four instance segmentation models, affirming the effective utilization of IVIF results. Full article

(This article belongs to the Special Issue Low-Carbon and Green Materials in Construction—2nd Edition)

15 pages, 686 KiB

Open AccessArticle

Maternal Long-Chain Polyunsaturated Fatty Acids Status in Pregnancy and Newborn Body Composition

by Mira Dewi, Nuri Andarwulan, Utami Wahyuningsih, Renata Kazimierczak and Dominika Średnicka-Tober

Nutrients 2025, 17(1), 66; https://doi.org/10.3390/nu17010066 (registering DOI) - 27 Dec 2024

Abstract

Background: A number of clinical studies have shown a positive association between the maternal n-3 PUFA status during pregnancy and fetal and newborn development and health. Despite this well-documented role of n-3 PUFAs in pregnancy, data on maternal the LC-PUFAs status [...] Read more.

Background: A number of clinical studies have shown a positive association between the maternal n-3 PUFA status during pregnancy and fetal and newborn development and health. Despite this well-documented role of n-3 PUFAs in pregnancy, data on maternal the LC-PUFAs status during pregnancy in the Indonesian population, to our knowledge, are not yet available. This study reports on the LC-PUFA dietary intake among pregnant women in a suburban population of Bogor City, West Java, Indonesia. It also explores the associations of maternal LC-PUFA intake with maternal blood, cord blood, and breast milk LC-PUFA levels and the associations of the latter with infant body composition. Methods: A total of 142 pregnant women and 104 newborn infants were included in this study. The dietary intake of energy, macronutrients, and selected LC-PUFAs (LA, ALA, EPA, and DHA) was assessed by 2 × 24 h food recall and FFQ. LC-PUFA levels were measured in maternal blood, cord blood, and breast milk. Newborn body composition was determined by anthropometric measures. Results: The study found that the inadequate intake of energy, protein, and carbohydrates was highly prevalent among pregnant women subjects. The intake of the most important n-3 PUFAs (ALA, EPA, and DHA) was far below the recommended values. Maternal dietary DHA intakes were negatively associated with birth weight and infant fat mass at birth, and dietary intake of total fat and n-6 LA were associated with increased fat accumulation in newborns at specific body sites. Moreover, positive correlations were identified between the EPA in maternal blood and infant % fat mass, and between the DHA in cord blood and newborn birth weight. Conclusions: Further longitudinal studies, including clinical and biomolecular analyses, are suggested to be conducted to monitor maternal and child health and nutrition in Indonesia and develop well-attuned intervention strategies. Full article

(This article belongs to the Special Issue The Relationship between Nutritional Supplementation during Pregnancy and Offspring Health)

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21 pages, 973 KiB

Open AccessSystematic Review

Efficacy of Concurrent Training in Breast Cancer Survivors: A Systematic Review and Meta-Analysis of Physical, Psychological, and Biomarker Variables

by Ricardo Madeira, Dulce Esteves, Adriana Maia, Ana R. Alves, Diogo L. Marques and Henrique P. Neiva

Healthcare 2025, 13(1), 33; https://doi.org/10.3390/healthcare13010033 (registering DOI) - 27 Dec 2024

Abstract

Background: Breast cancer treatments often cause serious side effects, but physical exercise has shown the potential to improve both the physical and psychological health outcomes of survivors. This review and meta-analysis aimed to synthesize and analyze the scientific evidence on the effectiveness of [...] Read more.

Background: Breast cancer treatments often cause serious side effects, but physical exercise has shown the potential to improve both the physical and psychological health outcomes of survivors. This review and meta-analysis aimed to synthesize and analyze the scientific evidence on the effectiveness of concurrent training on physical, psychological, and biomarkers variables on breast cancer survivors.; Methods: A systematic review and meta-analysis was registered in PROSPERO (CRD42024571851). The ISI Web of Science, PubMed, and Scopus databases were searched. The methodological quality of all the included studies was assessed using the Cochrane risk of bias tool. This review included 14 articles that met the inclusion criteria on the effect of concurrent training on breast cancer survivors. Results: The results of the meta-analysis on body composition revealed a significant overall effect on body mass (effect size [ES] = −2.23; 95% CI: −4.16, −0.29) and body mass index (ES = −0.66; 95% CI: −1.32, 0.01). In contrast, no significant differences were shown in the % fat mass (ES = −2.63; 95% CI: −5.58, 0.33). Strength significantly improved after simultaneous training (ES = 4.93; 95% CI: 1.94, 7.92). In addition, cardiorespiratory fitness (maximum oxygen consumption) showed significant improvements after simultaneous training (ES = 3.03; 95% CI: 1.88, 4.19). Conclusions: The research shows that concurrent training, including strength and aerobic exercises, promotes significant improvements in body mass, body mass index, muscle strength, and cardiorespiratory fitness. However, the effectiveness of the training depends on the intensity, duration and frequency of the exercise, as well as the individualization of the programs. Full article

(This article belongs to the Special Issue The Role of Physical Exercise in the Prevention and Treatment of Diseases)

12 pages, 1502 KiB

Open AccessArticle

Calculations of Cross-Sections for Positron Scattering on Benzene

by Małgorzata Franz, Anna Pastuszko and Jan Franz

Appl. Sci. 2025, 15(1), 153; https://doi.org/10.3390/app15010153 (registering DOI) - 27 Dec 2024

Abstract

In this work, we present a theoretical study on positron scattering by benzene molecules over a broad energy range (1–1000 eV). The aim of this work is to provide missing data from partial cross-sections for specific processes. In particular, calculations of cross-sections for [...] Read more.

In this work, we present a theoretical study on positron scattering by benzene molecules over a broad energy range (1–1000 eV). The aim of this work is to provide missing data from partial cross-sections for specific processes. In particular, calculations of cross-sections for direct ionization and electronic excitation were carried out for benzene molecules in the gas phase. An estimate for the cross-section for positronium formation is obtained from a comparison with the total cross-section from experiments. Theoretical methodologies used in the study for partial ionization cross-section calculations are based on the binary-encounter Bethe model and take into account an extension of the Wannier theory. The total cross-section shows good agreement with experimental data. Full article

(This article belongs to the Section Applied Physics General)

15 pages, 820 KiB

Open AccessArticle

Design and Implementation of a Compiled Declarative Language for Game AI Control

by Christopher Cromer, Martin Araneda and Clemente Rubio-Manzano

Appl. Sci. 2025, 15(1), 157; https://doi.org/10.3390/app15010157 (registering DOI) - 27 Dec 2024

Abstract

Video games have become one of the most popular forms of entertainment around the world. Currently, agents (bots or non-player characters) are predominantly programmed using procedural and deterministic imperative techniques, which pose significant drawbacks in terms of cost and time efficiency. An interesting [...] Read more.

Video games have become one of the most popular forms of entertainment around the world. Currently, agents (bots or non-player characters) are predominantly programmed using procedural and deterministic imperative techniques, which pose significant drawbacks in terms of cost and time efficiency. An interesting and alternative line of work is to develop declarative scripting languages which align the programming task closer to human logic. This allows programmers to intuitively implement agents’ behaviors using straightforward rules. In this regard, most of these languages are interpreted, which may impact performance. Hence, this article presents the design and implementation of a new declarative and compiled scripting language called Obelysk for controlling agents. To test and evaluate the language, a video game was created using the Godot game engine, which allowed us to demonstrate the correct functionality of our scripting language to program the AIs participating in the video game. Finally, an analytics platform was also developed to evaluate the correct behavior of the programmed agents. Full article

(This article belongs to the Special Issue Applications of Artificial Intelligence and Machine Learning in Games: 2nd Edition)

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16 pages, 2096 KiB

Open AccessArticle

Analysis of Hydrological Memory Characteristics in Taiwan’s Catchments

by Ting-Jui Fang, Hsin-Yu Chen and Hsin-Fu Yeh

Atmosphere 2025, 16(1), 19; https://doi.org/10.3390/atmos16010019 (registering DOI) - 27 Dec 2024

Abstract

Climate change often affects streamflow, which can be categorized into immediate and lag responses. Historically, the phenomenon of lag responses, known as hydrological memory, has often been overlooked. This study aims to determine whether hydrological memory characteristics exist in Taiwan’s catchments and to [...] Read more.

Climate change often affects streamflow, which can be categorized into immediate and lag responses. Historically, the phenomenon of lag responses, known as hydrological memory, has often been overlooked. This study aims to determine whether hydrological memory characteristics exist in Taiwan’s catchments and to identify the lag time in streamflow response. Using data from 67 catchments across Taiwan with a length of over 30 years, the study examines the response of streamflow to precipitation and potential evapotranspiration across different time scales. Streamflow elasticity was employed to quantify the sensitivity of catchment streamflow. Sensitivity analysis results indicate that the month scale better explains the sensitivity of streamflow to climatic factors compared to the year scale. Therefore, memory characteristics are discussed using the month scale. Only 19.4% of the studied catchments exhibit significant hydrological memory, making it a rare phenomenon in Taiwan. The conceptual model of hydrological memory shows that extreme precipitation and other hydrological climate anomalies primarily impact river streamflow generation 33 days (1.11 months) later, with the influence of precipitation on streamflow recharge lag up to 50 days (1.67 months). Catchments with hydrological memory characteristics are predominantly located in southwestern Taiwan, mainly in catchments smaller than 500 km², with generally lower baseflow indices and a higher proportion of streamflow contributions. These characteristics are less common in high-elevation areas. The results of this study highlight that streamflow response to climatic factors exhibits a lag time, illustrating the memory characteristics of Taiwan’s catchments. This understanding will aid in the prediction of hydrological phenomena and provide valuable references for hydrological modeling and the development and management of water resources. Full article

(This article belongs to the Special Issue The Water Cycle and Climate Change (3rd Edition))

11 pages, 543 KiB

Open AccessStudy Protocol

Do PROMs or Sensor-Based Monitoring Detect Improvements in Patients’ Knee Function After Total-Knee Arthroplasty?—A Study Protocol for a Prospective Controlled Study

by Lotanna Mba, Robert Prill, Jonathan Lettner, Nikolai Ramadanov, Robert Krause, Jan Reichmann and Roland Becker

Sensors 2025, 25(1), 118; https://doi.org/10.3390/s25010118 (registering DOI) - 27 Dec 2024

Abstract

Determining whether preoperative performance-based knee function predicts postoperative performance-based knee function and whether patient-reported outcome measures (PROMs) completed by participants can detect these changes could significantly enhance the planning of postoperative rehabilitation for patients following total knee arthroplasty (TKA). This study aims to [...] Read more.

Determining whether preoperative performance-based knee function predicts postoperative performance-based knee function and whether patient-reported outcome measures (PROMs) completed by participants can detect these changes could significantly enhance the planning of postoperative rehabilitation for patients following total knee arthroplasty (TKA). This study aims to collect data on performance-based knee function using inertial measurement units (IMUs) worn by participants both preoperatively and postoperatively. PROMs will be completed by the patients before and after surgery to assess their ability to detect the same changes in performance-based knee function measured by the sensors. Additionally, the study will investigate the correlation between the degree of knee alignment correction and postoperative performance-based knee function in participants after TKA. Full article

(This article belongs to the Special Issue IMU and Innovative Sensors for Healthcare)

25 pages, 1703 KiB

Open AccessArticle

Multisport-Integrated Training for Rugby Instructors: Success and Effects on Minirugby Players

by Marta Rigon, Gabriele Signorini, Raffaele Scurati, Athos Trecroci, Dario Colella, Damiano Formenti, Giampiero Merati, Domenico Cherubini and Pietro Luigi Invernizzi

J. Funct. Morphol. Kinesiol. 2025, 10(1), 11; https://doi.org/10.3390/jfmk10010011 (registering DOI) - 27 Dec 2024

Abstract

Background/Objectives: The educational system thinking approach (ST) takes a holistic vision of instructors/teachers and learners’ relationships, making sports pivotal for reflection on education. This study evaluated the efficacy of a multisport ST-based course on minirugby instructors’ teaching competence and children players’ motor conduct. [...] Read more.

Background/Objectives: The educational system thinking approach (ST) takes a holistic vision of instructors/teachers and learners’ relationships, making sports pivotal for reflection on education. This study evaluated the efficacy of a multisport ST-based course on minirugby instructors’ teaching competence and children players’ motor conduct. Methods: The twenty-five rugby instructors (IAC) attended the 25 h course and the children of their teams (n = 109, Ch-IAC) participated in this study as experimental groups. Twenty-five rugby instructors who were not attending the course (I-CON) and their pupils (n = 111, Ch-CON) acted as control groups. Changes in instructors’ teaching competence (by the Instrument for Identifying the Teaching Style and the System for Observing Fitness Instruction Time) and children’s motor conduct (by the Körperkoordinationtest für Kinder test, the Game Performance Assessment Instrument, the Physical Activity Enjoyment Scale, and the physical self-efficacy scale for children) were assessed. Results: Thanks to the education received, IAC improved in didactics and methodological competence. They learned to use more production teaching styles than CON (10.5 ± 9.3% vs. 0% of the lesson time, p < 0.05), reduce children’s inactive lesson time for management (−5.1 ± 3.3% vs. 1.1 ± 3.1%, p < 0.05) and promote more outside lesson topics (4.4 ± 3.2% vs. 0%, p < 0.05). In addition, compared to Ch-CON, Ch-IAC significantly improved motor coordination, game performance, enjoyment, and self-efficacy (p < 0.05). Conclusions: Children’s enjoyment and self-efficacy acted as mediators that amplified the effects of the multisport training course. At the same time, the instructor’s didactical and methodological competence were moderators directly favoring or worsening children’s motor competence. Such an integrated multisport model is applicable and suggested for improving sports performance and education processes. Full article

(This article belongs to the Topic Movement and Health: Holistic Development to Support Long-Term Active Lifestyles)

33 pages, 5583 KiB

Open AccessArticle

Bibliometric and Co-Occurrence Study of the Production of Bioethanol and Hydrogen from African Palm Rachis (2003–2023)

by Luis Ángel Castillo-Gracia, Néstor Andrés Urbina-Suarez and Ángel Darío González-Delgado

Sustainability 2025, 17(1), 146; https://doi.org/10.3390/su17010146 (registering DOI) - 27 Dec 2024

Abstract

Today, the world is increasingly concerned about energy and environmental challenges, and the search for renewable energy sources has become an unavoidable priority. In this context, Elaeis guineensis (better known as the African oil palm) has been placed in the spotlight due to [...] Read more.

Today, the world is increasingly concerned about energy and environmental challenges, and the search for renewable energy sources has become an unavoidable priority. In this context, Elaeis guineensis (better known as the African oil palm) has been placed in the spotlight due to its great potential and specific characteristics for the production of alternative fuels in the search for sustainable energy solutions. In the present study, bibliometric and co-occurrence analyses are proposed to identify trends, gaps, future directions, and challenges related to the production of bioethanol and hydrogen from oil palm rachis, using VOSviewer v.1.6.20 as a tool to analyze data obtained from SCOPUS. A mapping of several topics related to bioethanol and hydrogen production from oil palm bagasse or rachis is provided, resulting in contributions to the topic under review. It is shown that research is trending towards the use of oil palm rachis as a raw material for hydrogen production, consolidating its position as a promising renewable energy source. The field of hydrogen production from renewable sources has undergone constant evolution, and it is expected to continue growing and playing a significant role in the transition towards cleaner and more sustainable energy sources, potentially involving the adoption of innovative technologies such as solar-powered steam generation. From an economic point of view, developing a circular economy approach to bioethanol and hydrogen production from oil palm rachis and waste management will require innovations in material design, recycling technologies, and the development of effective life cycle strategies that can be evaluated through computer-assisted process simulation. Additionally, the extraction and purification of other gases during the dark fermentation method contribute to reducing greenhouse gas emissions and minimizing energy consumption. Ultimately, the sustainability assessment of bioethanol production processes is crucial, employing various methodologies such as life cycle assessment (LCA), techno-economic analysis, techno-economic resilience, and environmental risk assessment (ERA). This research is original in that it evaluates not only the behavior of the scientific community on these topics over the past 20 years but also examines a less-studied biofuel, namely bioethanol. Full article

(This article belongs to the Special Issue Sustainable Waste Management and Recovery)

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14 pages, 879 KiB

Open AccessArticle

An 11-Bit Single-Slope/Successive Approximation Register Analog-to-Digital Converters with On-Chip Fine Step Range Calibration for CMOS Image Sensors

by Seong-Jun Byun, Jee-Taeck Seo, Tae-Hyun Kim, Jeong-Hun Lee, Young-Kyu Kim and Kwang-Hyun Baek

Electronics 2025, 14(1), 83; https://doi.org/10.3390/electronics14010083 (registering DOI) - 27 Dec 2024

Abstract

This paper presents a novel high-precision 11-bit single-slope/successive approximation register analog-to-digital converter (SS/SAR ADC) architecture specifically designed for CMOS image sensors (CISs). The proposed design solves critical challenges in conventional ADCs by utilizing only two reference voltages, thereby minimizing voltage mismatch and completely [...] Read more.

This paper presents a novel high-precision 11-bit single-slope/successive approximation register analog-to-digital converter (SS/SAR ADC) architecture specifically designed for CMOS image sensors (CISs). The proposed design solves critical challenges in conventional ADCs by utilizing only two reference voltages, thereby minimizing voltage mismatch and completely eliminating the need for complex switch arrays. This unique approach reduces the transistor count by 64 per column ADC, significantly enhancing area efficiency and circuit simplicity. Furthermore, a groundbreaking on-chip fine step range calibration technique is introduced to mitigate the impact of parasitic capacitance, ensuring the precise alignment between coarse and fine steps and achieving exceptional linearity. Fabricated using a 0.18-µm CMOS process, the ADC demonstrates superior performance metrics, including a differential nonlinearity (DNL) of −1/+1.86 LSB, an integral nonlinearity (INL) of −2.74/+2.79 LSB, an effective number of bits (ENOB) of 8.3 bits, and a signal-to-noise and distortion ratio (SNDR) of 51.77 dB. Operating at 240 kS/s with a power consumption of 22.16 µW, the ADC achieves an outstanding figure-of-merit (

{FOM}_{W}

) of 0.291 pJ/step. These results demonstrate the proposed architecture’s potential as a transformative solution for high-speed, energy-efficient CIS applications. Full article

(This article belongs to the Section Circuit and Signal Processing)

29 pages, 2480 KiB

Open AccessArticle

Part A: Innovative Data Augmentation Approach to Enhance Machine Learning Efficiency—Case Study for Hydrodynamic Purposes

by Hamed Majidiyan, Hossein Enshaei, Damon Howe and Eric Gubesch

Appl. Sci. 2025, 15(1), 158; https://doi.org/10.3390/app15010158 (registering DOI) - 27 Dec 2024

Abstract

These days, AI and machine learning (ML) have become pervasive in numerous fields. However, the maritime industry has faced challenges due to the dynamic and unstructured nature of environmental inputs. Hydrodynamic models, vital for predicting ship responses and estimating sea states, rely on [...] Read more.

These days, AI and machine learning (ML) have become pervasive in numerous fields. However, the maritime industry has faced challenges due to the dynamic and unstructured nature of environmental inputs. Hydrodynamic models, vital for predicting ship responses and estimating sea states, rely on diverse data sources of varying fidelities. The effectiveness of ML models in real-world applications hinges on the diversity, range, and quality of the data. Linear simulation techniques, chosen for their simplicity and cost-effectiveness, produce unrealistic and overly optimistic results. Conversely, high-fidelity experiments are prohibitively expensive. To address this, the study introduces an innovative feature engineering that incorporates uncertainty into features of linear models derived from higher fidelity modeling. This enhances productive data entropy, positively enhancing feature classification and improving the accuracy and feasibility of ML models in hydrodynamic responses of floating vessels. Tested with data from a known geometrical shape exposed to regular and irregular waves, the technique employs Ansys Aqwa for linear models. The results demonstrate the efficiency of the proposed technique, expanding the applicability of ML models in realistic scenarios. The application of the proposed approach extends beyond and can be further applied to any stochastic process, which expands the ML application for realistic use cases. Full article

(This article belongs to the Special Issue Applications of Deep Learning and Artificial Intelligence Methods: 2nd Edition)

24 pages, 904 KiB

Open AccessArticle

From Data to Delight: Leveraging Social Customer Relationship Management to Elevate Customer Satisfaction and Market Effectiveness

by Ibrahim A. Elshaer, Alaa M. S. Azazz, Sameh Fayyad, Shaimaa A. Mohamed, Amr Mohamed Fouad and Eslam Ahmed Fathy

Information 2025, 16(1), 9; https://doi.org/10.3390/info16010009 (registering DOI) - 27 Dec 2024

Abstract

The current study aims to investigate ways through which the data on social customer relationship management (SCRM) enhance customer satisfaction (CS) as well as market effectiveness (ME) in the hotel industry. Moreover, it examines the mediator role of customer involvement using social media [...] Read more.

The current study aims to investigate ways through which the data on social customer relationship management (SCRM) enhance customer satisfaction (CS) as well as market effectiveness (ME) in the hotel industry. Moreover, it examines the mediator role of customer involvement using social media data (CIUSM). The moderating role of customer information processing capability (CIPC) between social customer relationship management (SCRM) and customer involvement using social media (CIUSM) was examined. Therefore, following the suggestions from Dominant (S-D) Logic, Social Exchange Theory (SET), and Dynamic Capabilities Theory (DCT), this research explores the role of SCRM in co-creation and organizational performance through the social media data of customers. Using PLS-SEM through SmartPLS, data from 389 participants were analyzed. The findings proved that SCRM directly improves both customer satisfaction and the effectiveness of the market due to the indirect effect of CIUSM data as a mediator among them. Also, it showed that SCRM improves directly CIUSM. Moreover, it proved the direct effect of CIUSM on customer satisfaction and market effectiveness. Moreover, CIPC, as a moderator, enhances SCRM impacts by demonstrating how hotels leverage data from social media activity as a competitive advantage. Based on the findings of this study, the three integrated theories provide a single framework to delve deeply into the intricate association between social media customer involvement to enhance hotel performance. Also, it ensures that hospitality managers engage customers, continuously respond to their needs and requirements, and embrace efficient data processing to deploy SCRM effectively. Full article

(This article belongs to the Special Issue Knowledge Management, Digital Trust, and Corporate Social Responsibility in the Era of Social Media II)

21 pages, 531 KiB

Open AccessArticle

Analysis of Nutrition Knowledge After One Year of Intervention in a National Extracurricular Athletics Program: A Cross-Sectional Study with Pair-Matched Controls of Polish Adolescents

by Dominika Skolmowska, Dominika Głąbska, Dominika Guzek, Jakub Grzegorz Adamczyk, Hanna Nałęcz, Blanka Mellová, Katarzyna Żywczyk and Krystyna Gutkowska

Nutrients 2025, 17(1), 64; https://doi.org/10.3390/nu17010064 (registering DOI) - 27 Dec 2024

Abstract

Background: Nutrition knowledge may be translated into adequate dietary intake and proper eating habits, so adolescent education programs focusing on improving eating habits and nutrition knowledge are needed. The aim of the cross-sectional study with pair-matched controls was to assess the Consumer Nutrition [...] Read more.

Background: Nutrition knowledge may be translated into adequate dietary intake and proper eating habits, so adolescent education programs focusing on improving eating habits and nutrition knowledge are needed. The aim of the cross-sectional study with pair-matched controls was to assess the Consumer Nutrition Knowledge Scale (CoNKS) results and its determinants after one year of intervention in a national extracurricular athletics program within a pair-matched sample of Polish adolescents. Methods: The #goathletics Study evaluated a Polish national extracurricular athletics program, ‘Athletics for all’, being a voluntary and free-of-charge physical activity program organized by the Polish Athletics Association. The study allowed comparing the intervention group of adolescents aged 10–14 years, participating in the program for at least 9 months (a school year) and a pair-matched group not participating in it, while the matching was based on city, gender, and age (each group: n = 506 adolescents, n = 281 females and n = 225 males). The nutrition knowledge was assessed using a Consumer Nutrition Knowledge Scale (CoNKS), and during the analysis, the following factors were taken into account: body weight, height, Body Mass Index (BMI), waist circumference, and waist-to-height ratio (WHtR). Results: The ‘Athletics for all’ program participation influenced not only the total CoNKS score (p < 0.0001) but also the scores in all studied areas—within procedural nutrition knowledge (p = 0.0002), declarative nutrition knowledge on nutrients (p = 0.0001), and declarative nutrition knowledge on calories (p < 0.0001), and program participants revealed a stronger understanding of all the studied areas compared to non-participating individuals. Gender, BMI, and central obesity tendency were not associated with the total CoNKS score (p > 0.05), or any of the studied areas (p > 0.05). The statistically significant differences in the number of correct answers were observed for four items within procedural nutrition knowledge, for four items within declarative nutrition knowledge on nutrients, and for four items within declarative nutrition knowledge on calories (p < 0.05), while for all of them, ‘Athletics for all’ program participants revealed a stronger understanding. Conclusions: One year of intervention in a national extracurricular athletics program significantly influenced the nutrition knowledge of the studied group of adolescents aged 10–14 years. While compared with the pair-matched control group of Polish adolescents, they were characterized by a stronger understanding of all areas of nutrition knowledge. Full article

(This article belongs to the Special Issue Effects of Nutrition and Physical Activity Lifestyle Interventions on Childhood Obesity)

13 pages, 493 KiB

Open AccessArticle

Efficacy of Natural β-Carotene Chewable Tablets Derived from Banana (Musa AA) Pulp in Reducing UV-Induced Skin Erythema

by Chatnarong Putthong, Thanasorn Panmanee, Pensri Charoensit, Sukunya Ross, Kongaphisith Tongpoolsomjit and Jarupa Viyoch

Nutrients 2025, 17(1), 65; https://doi.org/10.3390/nu17010065 (registering DOI) - 27 Dec 2024

Abstract

Background/Objectives: UV radiation is a primary cause of skin damage and photoaging. β-carotene, a potent antioxidant, aids in mitigating UV-induced oxidative stress and enhancing skin photoprotection. This research aimed to evaluate the efficacy of a nutraceutical product designed to prevent photoaging. Methods: The [...] Read more.

Background/Objectives: UV radiation is a primary cause of skin damage and photoaging. β-carotene, a potent antioxidant, aids in mitigating UV-induced oxidative stress and enhancing skin photoprotection. This research aimed to evaluate the efficacy of a nutraceutical product designed to prevent photoaging. Methods: The product consists of a blend of hemp seed oil and banana (Musa AA), formulated as a chewable tablet. Healthy male participants aged 35–50 years were enrolled in a randomized, parallel, single-blind, placebo-controlled clinical trial. Participants received either the chewable nutraceutical (five tablets after meals in the morning and evening, equivalent to 8 ± 2 mg/day of β-carotene and 400 mg/day of PUFA) or a chewable placebo for 16 weeks. A total of thirty-six participants successfully completed the entire 16-week study. Results: Administration of the nutraceutical resulted in a significant reduction (p < 0.05) in UV solar light stimulator-induced erythema on the dorsal skin at week 4, with a mean value of 3.76 ± 0.46 AU, compared to the initial value of 4.88 ± 0.62 AU at week 0. Additionally, serum β-carotene concentration significantly increased from 0.45 ± 0.02 µg/mL at week 0 to 0.61 ± 0.06 µg/mL at week 16 (p < 0.05). Moreover, skin intensity in the sun-exposed arm area also significantly improved at week 16, increasing from 71.33 ± 3.50 at week 0 to 81.80 ± 4.45 (p < 0.05). Conclusions: The results indicate that the developed nutraceutical may offer effective protection against erythema, making it a promising option for preventing photoaging. Full article

(This article belongs to the Section Clinical Nutrition)

16 pages, 359 KiB

Open AccessArticle

EduDCM: A Novel Framework for Automatic Educational Dialogue Classification Dataset Construction via Distant Supervision and Large Language Models

by Changyong Qi, Longwei Zheng, Yuang Wei, Haoxin Xu, Peiji Chen and Xiaoqing Gu

Appl. Sci. 2025, 15(1), 154; https://doi.org/10.3390/app15010154 (registering DOI) - 27 Dec 2024

Abstract

Educational dialogue classification is a critical task for analyzing classroom interactions and fostering effective teaching strategies. However, the scarcity of annotated data and the high cost of manual labeling pose significant challenges, especially in low-resource educational contexts. This article presents the EduDCM framework [...] Read more.

Educational dialogue classification is a critical task for analyzing classroom interactions and fostering effective teaching strategies. However, the scarcity of annotated data and the high cost of manual labeling pose significant challenges, especially in low-resource educational contexts. This article presents the EduDCM framework for the first time, offering an original approach to addressing these challenges. EduDCM innovatively integrates distant supervision with the capabilities of Large Language Models (LLMs) to automate the construction of high-quality educational dialogue classification datasets. EduDCM reduces the noise typically associated with distant supervision by leveraging LLMs for context-aware label generation and incorporating heuristic alignment techniques. To validate the framework, we constructed the EduTalk dataset, encompassing diverse classroom dialogues labeled with pedagogical categories. Extensive experiments on EduTalk and publicly available datasets, combined with expert evaluations, confirm the superior quality of EduDCM-generated datasets. Models trained on EduDCM data achieved a performance comparable to that of manually annotated datasets. Expert evaluations using a 5-point Likert scale show that EduDCM outperforms Template-Based Generation and Few-Shot GPT in terms of annotation accuracy, category coverage, and consistency. These findings emphasize EduDCM’s novelty and its effectiveness in generating high-quality, scalable datasets for low-resource educational NLP tasks, thus reducing manual annotation efforts. Full article

(This article belongs to the Special Issue Intelligent Systems and Tools for Education)

23 pages, 1570 KiB

Open AccessArticle

Ozone/Thiosulfate-Assisted Leaching of Cu and Au from Old Flotation Tailings

by Stefan Trujić, Miroslav P. Popović, Vesna Conić, Miloš Janošević, Filip Alimpić, Dragoljub Bajić, Ana Milenković-Anđelković and Filip Abramović

Molecules 2025, 30(1), 69; https://doi.org/10.3390/molecules30010069 (registering DOI) - 27 Dec 2024

Abstract

The growing demand for metal production promotes the search for alternative sources and novel modalities in metallurgy. Flotation tailings are an important secondary mineral resource; however, they might pose a potential environmental threat due to containing toxic metals. Therefore, proper leaching reagent selection [...] Read more.

The growing demand for metal production promotes the search for alternative sources and novel modalities in metallurgy. Flotation tailings are an important secondary mineral resource; however, they might pose a potential environmental threat due to containing toxic metals. Therefore, proper leaching reagent selection is required. Ozone is an alternative oxidizing agent for metal leaching, as its use prevents contaminating product generation while increasing the noble metal extraction efficiency in the presence of complexing agents. In this study, the feasibility and efficiency of combining the use of thiosulfate and ozone for gold and silver extraction have been investigated as an eco-friendly alternative for recovery from flotation tailings. Two sets of samples from old flotation tailings of Copper Mine Bor (Serbia) were prepared and physico-chemically characterized, then treated in two experimental leaching procedures, followed by thorough XRD and SEM/EDS analyses of the products. It showed that after 1 h of leaching in a water medium at room temperature and a solid-to-liquid phase ratio of 1:4, 88.8% of Cu was obtained, while a high efficiency of Au extraction from solid residue (after Cu leaching) was attained (83.4%). The results suggest that ozone-assisted leaching mediated by Ca-thiosulfate can be an effective eco-friendly treatment for noble metals recovery from sulfide-oxide ores. Full article

20 pages, 15842 KiB

Open AccessArticle

A Novel Traffic Analysis Zone Division Methodology Based on Individual Travel Data

by Kai Du, Jingni Song, Dan Chen, Ming Li and Yadi Zhu

Appl. Sci. 2025, 15(1), 156; https://doi.org/10.3390/app15010156 (registering DOI) - 27 Dec 2024

Abstract

Urban rail transit passenger flow forecasting often relies on the traditional “four-step” method, where the division of traffic analysis zones (TAZs) is critical to ensuring prediction accuracy. As the fundamental units for describing trip origins and destinations, TAZs also encompass socioeconomic attributes such [...] Read more.

Urban rail transit passenger flow forecasting often relies on the traditional “four-step” method, where the division of traffic analysis zones (TAZs) is critical to ensuring prediction accuracy. As the fundamental units for describing trip origins and destinations, TAZs also encompass socioeconomic attributes such as land use, population, and employment. However, traditional TAZs, typically based on administrative boundaries, fail to reflect evolving urban travel behavior, particularly when transit stations are located near TAZ boundaries. Additionally, the emergence of urban big data allows for more refined spatial analyses based on individual travel patterns, addressing the limitations of administrative divisions. This study proposes an innovative TAZ aggregation model based on travel similarity, integrating public transit smart-card data and GIS data from bus networks. First, individual spatiotemporal travel patterns are mapped and discretized in both the spatial and temporal dimensions. Travel characteristic data are then extracted for spatial grid units. The TAZ division problem is defined as a multiobjective optimization problem, including factors such as travel similarity, the homogeneity of travel intensity, the statistical accuracy of the area, geographic information preservation, travel ratio constraints, and shape constraints. Multiple TAZ division schemes are produced and assessed using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), resulting in the selection of the optimal scheme. The proposed method is implemented on bus passenger travel data in Beijing, showing that the optimized scheme significantly reduces the number of zones with travel ratios exceeding 10%. Compared with existing schemes, the optimized division yields more uniform distributions of travel ratios, area, and travel density, while significantly minimizing the number of zones with a high travel concentration. These results demonstrate that the proposed method better reflects residents’ actual travel behaviors, offering a notable improvement over traditional approaches. This research provides a novel and practical framework for data-driven TAZ optimization. Full article

40 pages, 1055 KiB

Open AccessArticle

Barriers, Benefits, and Influential Factors of Adopting Earth Observation Satellite Data at Local and Regional Levels: The Case of the Italian LRAs

by Elisa Filippi and Antonello Aiello

Sustainability 2025, 17(1), 145; https://doi.org/10.3390/su17010145 (registering DOI) - 27 Dec 2024

Abstract

Earth observation (EO) data are essential for monitoring and planning public policies to achieve Sustainable Development Goals. Despite significant public investments at the European level, the socio-economic impact on public administrations, especially local and regional authorities (LRAs), remains suboptimal. This limited adoption may [...] Read more.

Earth observation (EO) data are essential for monitoring and planning public policies to achieve Sustainable Development Goals. Despite significant public investments at the European level, the socio-economic impact on public administrations, especially local and regional authorities (LRAs), remains suboptimal. This limited adoption may hinder the enhancement of cities’ and regions’ capability to address climate change and sustainable development effectively. This article aims to (1) map the use of EO data and services by Italian LRAs, (2) investigate barriers to adoption and perceived benefits, and (3) identify influential factors and provide recommendations for adoption. A case study methodology was employed, focusing on Italian LRAs. A survey covering 37 variables across five categories was distributed. Data from 109 respondents indicated an EO data adoption rate of approximately 58%, with higher rates in North-East and Central Italy and among regions compared to cities. EO data are primarily used for land cover and urban planning, with significant applications in climate change management. While LRAs recognise benefits such as time and economic savings and monitoring efficacy, they face many barriers, including exogenous and endogenous factors. This paper delves into these barriers and recommends enhancing EO data adoption among LRAs. Full article

15 pages, 493 KiB

Open AccessArticle

Development of a Wine Yeast Strain Capable of Malolactic Fermentation and Reducing the Ethyl Carbamate Content in Wine

by Egor A. A. Vasyagin, Valery N. N. Urakov, Maksim Yu. Yu. Shalamitskiy, Sofia N. N. Cherviak, Elena V. V. Ivanova, Valentina I. I. Zagoruyko, Alexey V. V. Beletsky, Andrey L. L. Rakitin, Eugenia S. S. Mardanova, Vitaly V. V. Kushnirov, Nikolai V. V. Ravin and Andrey V. V. Mardanov

Foods 2025, 14(1), 54; https://doi.org/10.3390/foods14010054 (registering DOI) - 27 Dec 2024

Abstract

In winemaking, malolactic fermentation (MLF), which converts L-malic acid to L-lactic acid, is often applied after the alcoholic fermentation stage to improve the sensory properties of the wine and its microbiological stability. MLF is usually performed by lactic acid bacteria, which, however, are [...] Read more.

In winemaking, malolactic fermentation (MLF), which converts L-malic acid to L-lactic acid, is often applied after the alcoholic fermentation stage to improve the sensory properties of the wine and its microbiological stability. MLF is usually performed by lactic acid bacteria, which, however, are sensitive to the conditions of alcoholic fermentation. Therefore, the development of wine yeast strains capable of both alcoholic fermentation and MLF is an important task. Using genome editing, we engineered a modified variant of the triploid wine yeast strain Saccharomyces cerevisiae I-328, in which the CAR1 arginase gene was replaced by the malate permease gene from Schizosaccharomyces pombe and the malolactic enzyme gene from Oenococcus oeni. Genome-wide transcriptional profiling confirmed the expression of the introduced genes and revealed a limited effect of the modification on global gene expression. Winemaking experiments show that genome editing did not affect fermentation activity and ethanol production, while use of the modified strain resulted in a tenfold reduction in malate content with simultaneous formation of lactate. The resulting wines had a softer and more harmonious taste compared to wine obtained using the parental strain. Inactivation of arginase, which forms urea and L-ornithine through the breakdown of arginine, also resulted in a twofold decrease in the content of urea and the carcinogenic ethyl carbamate in wine. Thus, the new strain with the replacement of the arginase gene with the MLF gene cassette is promising for use in winemaking. Full article

(This article belongs to the Special Issue Food Fermentation Strains: Physiology, Metabolic Characteristics and Application)

14 pages, 4520 KiB

Open AccessArticle

The Impact of Carbon on Electronic Structure of N-DopedZnO Films: Scanning Photoelectron Microscopy Study and DFT Calculations

by Elzbieta Guziewicz, Sushma Mishra, Matteo Amati, Luca Gregoratti and Oksana Volnianska

Nanomaterials 2025, 15(1), 30; https://doi.org/10.3390/nano15010030 (registering DOI) - 27 Dec 2024

Abstract

A Scanning Photoelectron Microscopy (SPEM) experiment has been applied to ZnO:N films deposited by Atomic Layer Deposition (ALD) under O-rich conditions and post-growth annealed in oxygen at 800

^{\circ}

C. State-of-the-Art spatial resolution (130 nm) allows for probing the electronic structure of single [...] Read more.

A Scanning Photoelectron Microscopy (SPEM) experiment has been applied to ZnO:N films deposited by Atomic Layer Deposition (ALD) under O-rich conditions and post-growth annealed in oxygen at 800

^{\circ}

C. State-of-the-Art spatial resolution (130 nm) allows for probing the electronic structure of single column of growth. The samples were cleaved under ultra-high vacuum (UHV) conditions to open atomically clean cross-sectional areas for SPEM experiment. It has been shown that different columns reveal considerably different shape of the valence band (VB) photoemission spectra and that some of them are shifted towards the bandgap. The shift of the VB maximum, which is associated with hybridization with acceptor states, was found to be correlated with carbon content measured as a relative intensity of the

C 1 s

and

Z n 3 d

core levels. Generalized Gradient Approximation (GGA) supplemented by +U correction was applied to both

Z n 3 d

and

O 2 p

orbitals for calculation of the

V_{Zn}

migration properties by the Nudged Elastic Band (NEB) method. The results suggest that interstitial -CH

_{x}

groups facilitate the formation of acceptor complexes due to additional lattice perturbation. Full article

(This article belongs to the Section Theory and Simulation of Nanostructures)

15 pages, 982 KiB

Open AccessArticle

Effect of Beetroot Juice Supplementation on Aerobic Capacity in Female Athletes: A Randomized Controlled Study

by Jekaterina Neteca, Una Veseta, Inga Liepina, Katrina Volgemute, Maija Dzintare and Dmitry Babarykin

Nutrients 2025, 17(1), 63; https://doi.org/10.3390/nu17010063 (registering DOI) - 27 Dec 2024

Abstract

Background/Objectives: This study addresses the growing interest in nutritional supplements that improve athletic performance in endurance sports. Previous research suggests that nitrates in beetroot juice enhance blood vessel dilation and oxygen delivery to muscles. However, the effects of these nitrates on cardiopulmonary performance [...] Read more.

Background/Objectives: This study addresses the growing interest in nutritional supplements that improve athletic performance in endurance sports. Previous research suggests that nitrates in beetroot juice enhance blood vessel dilation and oxygen delivery to muscles. However, the effects of these nitrates on cardiopulmonary performance in female athletes remain underexplored. The aim of this study was to evaluate the effect of beetroot juice supplementation on aerobic work capacity in female endurance athletes. Methods: A cardiopulmonary exercise test (CPET) was conducted to assess aerobic work capacity. Eighteen healthy female endurance athletes (22.9 ± 5.6 years) participated in the study. The participants were randomly assigned to two groups: the control group (placebo group n = 9), which received a nitrate-free placebo beverage, and the experimental group (beetroot juice group n = 9), which consumed 50 mL of beetroot juice concentrate (~6.2 mmol nitrate) two and a half hours before the second test. Results: The results showed that the beetroot juice group demonstrated significant improvements in minute ventilation (VE), respiratory equivalents (VE/VO₂ and VE/VCO₂), and heart rate (HR) (p < 0.05). Maximal oxygen consumption (VO₂ max) increased by 4.82% in the beetroot juice group (from 35.24 ± 5.07 to 36.94 ± 4.91 mL·min⁻¹·kg⁻¹), whereas a small decrease was observed in the placebo group. Conclusions: These findings indicate that beetroot juice may be an effective ergogenic aid, enhancing oxygen utilization and energy production during exercise in female athletes. In terms of practical applications, beetroot juice could contribute to improved athletic performance and serve as a valuable addition to athletes’ nutritional plans. Future studies should explore the long-term effects, optimal dosages, and duration of supplementation in larger and more diverse populations. Full article

(This article belongs to the Special Issue Selected Papers from the 4th International Electronic Conference on Nutrients—Plant-Based Nutrition Focusing on Innovation, Health and Sustainable Food Systems)

2 pages, 124 KiB

Open AccessEditorial

Green Health—A New Open Access Journal

by Hualiang Lin and Jose L. Domingo

Green Health 2025, 1(1), 1; https://doi.org/10.3390/greenhealth1010001 - 27 Dec 2024

Abstract

In an era where global environmental and public health challenges intersect with emerging opportunities, the launch of the journal Green Health (ISSN 3042-5832) [...] Full article

11 pages, 284 KiB

Open AccessArticle

Subjective Quality of Life of Portuguese Karateka: A Comparative Study with General Population

by João Tomás, Sandy Severino, Susana Valido, Ricardo Mestre, Maria João Santos, Cristina de Sousa, Luís Sousa and Helena José

Psychol. Int. 2025, 7(1), 1; https://doi.org/10.3390/psycholint7010001 - 27 Dec 2024

Abstract

Sports and quality of life have a well-established connection. Karate-Dō is now a global scale sport, although it preserves traditional values and behaviors. The main aim of this study is to compare the difference in subjective quality of life levels between people engaged [...] Read more.

Sports and quality of life have a well-established connection. Karate-Dō is now a global scale sport, although it preserves traditional values and behaviors. The main aim of this study is to compare the difference in subjective quality of life levels between people engaged in Karate-Dō and people who are not. This is an exploratory study where a quantitative methodology was used. A globally accepted instrument was used to measure the subjective quality of life: Personal Wellbeing Index©. A total of 186 questionnaires were administered at a national level (online). Of these, 108 were administered to a sample of the general population (not engaged in martial arts) and 78 were administered to a sample of Karate-Dō athletes or karateka. Although the dimension and distribution of the samples does not allow data generalization, these data clearly show a higher quality of life perception, in all domains, in Karate-Dō athletes. Nonetheless, globally and in all the different domains, the level of perceived quality of life can be considered quite positive in Karate-Dō athletes. This finding suggests that the practice of Karate-Dō may have a strong relationship with a high level of subjective quality of life. Full article

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