bluuebunny/crossref_metadata_2025 huggingface dataset:
Protective Effects of Nettle Tea on SKOV-3 Ovarian Cancer Cells Through ROS Production, Apoptosis Induction, and Motility Inhibition Without Altering Autophagy
Authors: Abi Akl Maria , Hajj Roy , Jamati Georgio , Karam Louna , Ibrahim José-Noel , Kobeissy Philippe H. , Younes Maria , Rizk Sandra
Published: October 2024

Urtica dioica L. (UD), also known as the stinging nettle, has long been used in traditional medicine for its wide range of health benefits. The current study focuses on the effect of nettle tea on the growth and proliferation of one of the most aggressive ovarian adenocarcinoma cell line, SKOV-3 cells. To examine this, cytotoxicity, cell cycle analysis, and ROS assays were performed, along with Annexin V/PI dual staining, cell death ELISA, Western blot analysis, and motility assays. The results showed that a UD aqueous extract (UDAE) can inhibit the growth and proliferation of SKOV-3 cells in a dose- and time-dependent manner by promoting cellular fragmentation. This was accompanied by an increase in two apoptotic hallmarks, the flipping of phosphatidylserine to the outer membrane leaflet and DNA fragmentation as revealed by cell death ELISA. This aqueous extract showed a pro-oxidant activity while also activating the extrinsic caspase-dependent apoptotic pathway with no alteration in autophagy markers. Furthermore, the extract showed promising inhibitory effect on the migratory capacities of aggressive ovarian cancer cells, in vitro.
Effect of Shikimic Acid on Oxidation of Myofibrillar Protein of Duck Meat During Heat Treatment
Authors: Niu Yue , Zhang Yingrui , Wang Yuwei , He Wenjie , Xu Wei , Guo Danjun , Wang Hongxun , Yi Yang , Tan Guowei
Published: October 2024

The myofibrillar protein (MP) of duck meat is prone to excessive oxidation during thermal processing, resulting in a decline in its overall quality. In this paper, the effect of shikimic acid on the oxidative structure of duck muscle fibrin was studied. The findings showed that, at a mass ratio of 1:50,000 (g/g) between shikimic acid and MP, the carbonyl content of MP was reduced by 74.20%, while the sulfhydryl content was increased by 73.56%. MP demonstrated the highest denaturation temperature, whereas its thermal absorption was the lowest. The percentage of α-helixes and β-sheets increased by 16.72% and 24.74%, respectively, while the percentage of irregular structures decreased by 56.23%. In addition, the surface hydrophobicity index of MP exhibited a significant decrease (p < 0.05), while there was a significant increase in its free radical-scavenging ability (p < 0.05). Molecular fluorescence spectrum analysis showed that shikimic acid could bind to MP, altering the internal environment of MP and enhancing its thermal stability. FTIR analysis showed that shikimic acid could enhance the distribution of protein particle sizes by reducing irregular structures, the proportion of β-rotation, and the degree of protein aggregation. It is hoped that this research can offer scientific support for improving meat processing technology.
A Candy Defect Detection Method Based on StyleGAN2 and Improved YOLOv7 for Imbalanced Data
Authors: Li Xingyou , Xue Sheng , Li Zhenye , Fang Xiaodong , Zhu Tingting , Ni Chao
Published: October 2024

Quality management in the candy industry is a vital part of food quality management. Defective candies significantly affect subsequent packaging and consumption, impacting the efficiency of candy manufacturers and the consumer experience. However, challenges exist in candy defect detection on food production lines due to the small size of the targets and defects, as well as the difficulty of batch sampling defects from automated production lines. A high-precision candy defect detection method based on deep learning is proposed in this paper. Initially, pseudo-defective candy images are generated based on Style Generative Adversarial Network-v2 (StyleGAN2), thereby enhancing the authenticity of these synthetic defect images. Following the separation of the background based on the color characteristics of the defective candies on the conveyor belt, a GAN is utilized for negative sample data enhancement. This effectively reduces the impact of data imbalance between complete and defective candies on the model’s detection performance. Secondly, considering the challenges brought by the small size and random shape of candy defects to target detection, the efficient target detection method YOLOv7 is improved. The Spatial Pyramid Pooling Fast Cross Stage Partial Connection (SPPFCSPC) module, the C3C2 module, and the global attention mechanism are introduced to enhance feature extraction precision. The improved model achieves a 3.0% increase in recognition accuracy and a 3.7% increase in recall rate while supporting real-time recognition scenery. This method not only enhances the efficiency of food quality management but also promotes the application of computer vision and deep learning in industrial production.
A Fractional Tikhonov Regularization Method for Identifying a Time-Independent Source in the Fractional Rayleigh–Stokes Equation
Authors: Liu Songshu , Feng Lixin , Liu Chao
Published: October 2024

The aim of this paper is to identify a time-independent source term in the Rayleigh–Stokes equation with a fractional derivative where additional data are considered at a fixed time point. This inverse problem is proved to be ill-posed in the sense of Hadamard. By using a fractional Tikhonov regularization method, we construct a regularized solution. Then, according to a priori and a posteriori regularization parameter selection rules, we prove the convergence estimates of the regularization method. Finally, we provide some numerical examples to prove the effectiveness of the proposed method.
A Fractional-Order Model Predictive Control Strategy with Takagi–Sugeno Fuzzy Optimization for Vehicle Active Suspension System
Authors: Liu Qianjie , Hu Bo , Liu Wei , Li Jiantao , Yu Wenwen , Li Gang , Hu Guoliang
Published: October 2024

Aiming at the problem of system controller performance failure caused by improperly setting the value of each weighting coefficient of the model predictive control (MPC), a fractional-order MPC strategy with Takagi–Sugeno fuzzy optimization (T–SFO MPC) is proposed for a vehicle active suspension system. Firstly, the fractional-order model predictive control framework for active suspension systems is designed based on a 1/4 vehicle model. Then, we analyze the influence of different weighting coefficients on the suspension performance and introduce the Takagi–Sugeno fuzzy optimization theory to adaptively adjust the weighting coefficients of the fractional-order MPC controller. Finally, the system responses of the T–SFO MPC, traditional MPC, linear quadratic regulator (LQR), and passive suspension control are numerically analyzed under various road conditions. Simulation results show that suspension response with the T–SFO MPC is significantly improved compared with passive suspension control, traditional MPC control, and LQR control, and the weight coefficients of the T–SFO MPC can be adaptively adjusted according to the dynamic changes of suspension response. Compared with passive suspension, the root mean square (RMS) value of the vertical acceleration of the T–SFO MPC under various roads decreased by a maximum of 37.97%, and the RMS value of suspension dynamic deflection and tire dynamic load decreased by a maximum of 32.94% and 37.8%, respectively. These results validate that the proposed control method can achieve coordinated optimization of vehicle comfort and handling stability.
A Closure Contact Model of Self-Affine Rough Surfaces Considering Small-, Meso-, and Large-Scale Stage Without Adhesive
Authors: Zhang Tao , Wu Yiming , Liu Xian , Jiang Kai
Published: October 2024

Contact interface is essential for the dynamic response of the bolted structures. To accurately predict the dynamic characteristics of bolted joint structures, a fractal extension of the segmented scale model, i.e., the JK model, is proposed in this paper to comprehensively analyze the dynamic contact performance of engineering surfaces and revisit the multi-scale model based on the concept of asperities. The influence of asperity geometry, dimensionless material properties, and the elastic, elastoplastic, and full plastic mechanical models of a single asperity is established considering the asperity–substrate interaction. Then, a segmented scale contact model of rough surfaces is proposed based on the island distribution function in a strict sense. The mechanical contact process of determining rough surfaces is divided into small-scale, medium-scale, and large-scale stages. Moreover, cross-scale boundary conditions, i.e., al1′, al2′, and al3′, are provided through strict mathematical deduction. The results show that the real contact area and contact stiffness are positively correlated with fractal dimension and negatively correlated with fractal roughness. On a small scale, the contact damping decreases with an increase in load. In meso-scale and large-scale stages, the contact damping increases with the load. Finally, the reliability of the proposed model is verified by setting up three groups of modal vibration experiments.
Event-Triggered Fuzzy Adaptive Predefined-Time Control for Fractional-Order Nonlinear Systems with Time-Varying Deferred Constraints and Its Application
Authors: Song Shuai , Xing Longhang , Song Xiaona , Tejado Inés
Published: October 2024

This paper focuses on the fuzzy adaptive predefined-time control for fractional-order nonlinear systems with time-varying deferred constraints. First, a modified dynamic surface control technique is introduced to address the problem of computational complexity exposed in the backstepping framework, and the interval type-2 fuzzy logic systems are applied to model the unknown nonlinearities of the systems. Next, a shifting function and the barrier Lyapunov function with variational barrier bounds are formulated to deal with the constraints issue. Particularly, the constraint conditions can be satisfied within a predetermined time, even if they are transgressed initially. Furthermore, a switching threshold event-triggered controller is devised to balance the control energy and communication resources. With the help of the predefined-time stability criterion, it is proven that the presented predefined-time event-triggered controller can ensure that all the signals involved in the closed-loop system are bounded and the tracking error fluctuates to a small neighborhood of the origin in a predefined-time interval. Finally, two simulation examples are provided to confirm the effectiveness of the put-forward control algorithm.
Hydrogel-Based Vascularized Organ Tissue Engineering: A Systematized Review on Abdominal Organs
Authors: Karageorgos Filippos F. , Alexiou Maria , Tsoulfas Georgios , Alexopoulos Aleck H.
Published: October 2024

Background: Biomedical engineering, especially tissue engineering, is trying to provide an alternative solution to generate functional organs/tissues for use in various applications. These include beyond the final goal of transplantation, disease modeling and drug discovery as well. The aim of this study is to comprehensively review the existing literature on hydrogel-based vascularized organ (i.e., liver, pancreas, kidneys, intestine, stomach and spleen) tissue engineering of the abdominal organs. Methods: A comprehensive literature search was conducted on the Scopus database (latest search 1 September 2024). The research studies including hydrogel-based vascularized organ tissue engineering in the organs examined here were eligible for the review. Results: Herein, 18 studies were included. Specifically, 10 studies included the liver or hepatic tissue, 5 studies included the pancreas or pancreatic islet tissue, 3 studies included the kidney or renal tissue, 1 study included the intestine or intestinal or bowel tissue, 1 study included the stomach or gastric tissue, and 0 studies included spleen tissue. Conclusion: Hydrogels are biocompatible materials with ideal characteristics for use as scaffolds. Even though organ tissue engineering is a rapidly growing field, there are still many obstacles to overcome to create a fully functional and long-lasting organ.
Tuning Antioxidant Function through Dynamic Design of Chitosan-Based Hydrogels
Authors: Iftime Manuela Maria , Ailiesei Gabriela Liliana , Ailincai Daniela
Published: October 2024

Dynamic chitosan-based hydrogels with enhanced antioxidant activity were synthesized through the formation of reversible imine linkages with 5-methoxy-salicylaldehyde. These hydrogels exhibited a porous structure and swelling capacity, influenced by the crosslinking degree, as confirmed by SEM and POM analysis. The dynamic nature of the imine bonds was characterized through NMR, swelling studies in various media, and aldehyde release measurements. The hydrogels demonstrated significantly improved antioxidant activity compared to unmodified chitosan, as evaluated by the DPPH method. This research highlights the potential of developing pH–responsive chitosan-based hydrogels for a wide range of biomedical applications.
An Adhesive Hydrogel Technology for Enhanced Cartilage Repair: A Preliminary Proof of Concept
Authors: Karami Peyman , Martin Robin , Laurent Alexis , Nam Hui Yin , Philippe Virginie , Applegate Lee Ann , Pioletti Dominique P.
Published: October 2024

Knee cartilage has limited natural healing capacity, complicating the development of effective treatment plans. Current non-cell-based therapies (e.g., microfracture) result in poor repair cartilage mechanical properties, low durability, and suboptimal tissue integration. Advanced treatments, such as autologous chondrocyte implantation, face challenges including cell leakage and inhomogeneous distribution. Successful cell therapy relies on prolonged retention of therapeutic biologicals at the implantation site, yet the optimal integration of implanted material into the surrounding healthy tissue remains an unmet need. This study evaluated the effectiveness of a newly developed photo-curable adhesive hydrogel for cartilage repair, focusing on adhesion properties, integration performance, and ability to support tissue regeneration. The proposed hydrogel design exhibited significant adhesion strength, outperforming commercial adhesives such as fibrin-based glues. An in vivo goat model was used to evaluate the hydrogels’ adhesion properties and long-term integration into full-thickness cartilage defects over six months. Results showed that cell-free hydrogel-treated defects achieved superior integration with surrounding tissue and enhanced cartilage repair, with notable lateral integration. In vitro results further demonstrated high cell viability, robust matrix production, and successful cell encapsulation within the hydrogel matrix. These findings highlight the potential of adhesive hydrogel formulations to improve the efficacy of cell-based therapies, offering a potentially superior treatment for knee cartilage defects.
Development of Polyvinyl Alcohol Hydrogels for Controlled Glucose Release in Biomedical Applications
Authors: Quispe-Siccha Rosa M. , Medina-Sandoval Osvaldo I. , Estrada-Tinoco Abraham , Pedroza-Pérez Jorge A. , Martínez-Tovar Adolfo , Olarte-Carrillo Irma , Cerón-Maldonado Rafael , Reding-Bernal Arturo , López-Alvarenga Juan C.
Published: October 2024

Polyvinyl alcohol (PVA) hydrogels have a wide range of applications in the pharmaceutical and biomedicine fields due to their exceptional biophysical properties. The study focuses on preparing and characterizing capsule-shaped PVA hydrogels to enhance their biocompatibility and porosity for controlled glucose release and cell proliferation. The hydrogels were prepared using different concentrations (Cs) and molecular weights (MWs) of PVA, with two different lengths, A (10 mm) and B (20 mm), to control glucose release over 60 min. The preparation process involved PVA gel preparation and PVA hydrogel formation. A total of 500 µL of glucose was injected into all dehydrated hydrogels in groups A and B. Glucose release was studied by immersing the hydrogels in saline at 37 °C with stirring at 500 rpm. The SUP-B15 cell line was grown in six A1 hydrogels for biocompatibility testing. The results indicate that all hydrogels remained stable at 37 °C without degrading. Those with a higher C and MW exhibited a denser and less porous structure, lower glucose storage capacity, and higher elongation at break. Significant differences in glucose release, diffusion speed, and flux were observed, which were more evident in A1 > A4, B1 > B4, and B1 > A1 over 60 min. A1 and B1 had higher values because their higher porosity distribution allowed glucose to diffuse more easily. B1, being larger, has more glucose due to its increased length. The cell growth response and viability at 48 h in contact with the hydrogels was similar to that of the control (4.5 × 105 cells/mL, 98.5% vs. 4.8 × 105 cells/mL, 99.7% viability), thus demonstrating biocompatibility. The hydrogels effectively released glucose over 60 min, with variations based on porosity, C, MW, and length, and demonstrated good biocompatibility with the cell line.
On the Road Safety: Gender Differences in Risk-Taking Driving Behaviors Among Seniors Aged 65 and Older
Authors: Cordellieri Pierluigi , Piccardi Laura , Giancola Marco , Giannini Anna Maria , Nori Raffaella
Published: October 2024

Background/Objectives: Life expectancies have increased in most countries, leading to a higher accident rate among older drivers than their younger counterparts. While numerous studies have analyzed the decline in cognitive abilities and physical limitations as contributing factors, there are other considerations. For instance, younger male drivers tend to take more risks than younger female drivers. However, there is a lack of research and evidence regarding the role of gender in risk-taking among individuals over 65. Given this gap, our current study aims to investigate the relationship between gender and risk propensity in this particular age group. The primary goal was to determine if driving experience affects the gender gap in risk attitude; Methods: We studied risk behavior in both car drivers and pedestrians. Our sample included 200 individuals (101 women), all over 65, with the same weekly driving times. After a brief demographic and anamnestic interview, they completed the Driver Road Risk Perception Scale (DRPS) and the Pedestrian Behavior Appropriateness Perception Scale (PBAS) questionnaires. They also provided information about traffic violations and road crashes; Results: Our research revealed that older male drivers continue to tend to risky behavior, highlighting the need for targeted interventions to improve risk awareness, especially among older men; Conclusions: Our findings suggest that road safety messages should specifically target male drivers as they are less likely to view responsible driving actions, such as observing speed limits, as desirable.
How the Music Machine Makes Myths Real: AI, Holograms, and Ashley Eternal
Authors: Kennedy Victor Robert
Published: October 2024

Since ancient times, music has been instrumental in giving life to the stories we build our identities and cultures around. I will examine how, in our time, music creates new myths by creating its own heroes and heroines through capital and the star system. In traditional literary and cultural analysis, a distinction was drawn between the natural and the supernatural when discussing literary mythology; in the twentieth century, an equivalent distinction was made in works of art that, in Baudrillard’s terminology, make use of the realms of the real and the “hyperreal” (1981). In today’s mythmaking, the supernatural has been largely replaced by the technological, and recent developments blur the line between science fiction and fantasy; tech has become megalotech. A recent episode of the television series Black Mirror, “Rachel, Jack, and Ashley Too” (2019), explores these concepts with an examination of the pros and cons of replacing human performers with AI simulacra.
Psychometric Evaluation of Women’s Knowledge of Healthcare Rights and Perception of Resource Scarcity during Maternity
Authors: Silva-Fernández Claudia Susana , de la Calle María , Suta María A. , Arribas Silvia M. , Garrosa Eva , Ramiro-Cortijo David
Published: October 2024

Background/Objectives: Resources to cope with maternity and women’s participation are essential modulators of maternal well-being. Therefore, it is relevant that the psychosocial factors of woman be monitored during maternity to promote adequate healthcare. This study involved the design and the validation of two new tools that identify women’s knowledge of healthcare rights (MatCODE) and perception of resource scarcity (MatER) during pregnancy, labor and early postpartum; Methods: The content validity was carried out using the Aiken’s V coefficient and the content validity index (CVI-i) based on five experts. In addition, for the face validity, the pilot cohort was considered the INFLESZ scale. Finally, the questionnaires were applied to 185 women, which allowed to assess the construct validation by factorial and Rasch analysis. The divergent validity was also studied with validated psychological questionnaires; Results: MatCODE and MatER questionnaires received CVI-i and Aiken’s V > 0.80 values, and the INFLESZ demonstrated acceptable semantic understanding. The analysis confirms the unidimensionality of the questionnaires, with fit values for MatCODE of RMSEA = 0.113 [0.105; 0.122] and for MatER of RMSEA = 0.067 [0.063; 0.072]. The divergent validity showed significant and consistent correlations with the constructs assessed. For MatCODE, ω = 0.95 and α = 0.94, and for MatER, ω = 0.79 and α = 0.78; Conclusions: MatCODE and MatER are useful new tools for monitoring maternal healthcare, with adequate psychometric characteristics in the Spanish context.
Restorative Just Culture: An Exploration of the Enabling Conditions for Successful Implementation
Authors: Boskeljon-Horst Leonie , Steinmetz Vincent , Dekker Sidney
Published: October 2024

Background/Objectives: Restorative responses to staff involved in incidents are becoming recognized as a rigorous and constructive alternative to retributive forms of ‘just culture’. However, actually achieving restoration in mostly retributive working environments can be quite difficult. The conditions for the fair and successful application of restorative practices have not yet been established. In this article, we explore possible commonalities in the conditions for success across multiple cases and industries. Methods: In an exploratory review we analysed published and unpublished cases to discover enabling conditions. Results: We found eight enabling conditions—leadership response, leadership expectations, perspective of leadership, ‘tough on content, soft on relationships’, public and media attention, regulatory or judicial attention to the incident, second victim acknowledgement, and possible full-disclosure setting—whose absence or presence either hampered or fostered a restorative response. Conclusions: The enabling conditions seemed to coagulate around leadership qualities, media and judicial attention resulting in leadership apprehension or unease linked to their political room for maneuver in the wake of an incident, and the engagement of the ‘second victim’. These three categories can possibly form a frame within which the application of restorative justice can have a sustainable effect. Follow-up research is needed to test this hypothesis.
An Assessment of Mental Health Challenges of Lesbian, Gay, Bisexual, and Transgender College Students during the COVID-19 Pandemic
Authors: Xu Lei , Xu H. Daniel , Lu Wenhua , Talwar Divya
Published: October 2024

Introduction: Collegiate mental health continues to be a worrisome public health concern among college students in the U.S. The unprecedented COVID-19 pandemic has caused an upward trend of mental health crises, especially among lesbian, gay, bisexual, and transgender (LGBTQ+) college students. The objective of this study was to assess the mental health statuses, attitudes towards disease control and mitigation measures, and coping strategies among this vulnerable group. Methods: A web-based survey was conducted at a medium-sized public university in the mid-Atlantic region during the summer and fall of 2021 when COVID-19 was still a major public health concern. The survey was distributed through the listservs of the college and was advertised through campus-wide social media. Descriptive and inferential statistics including a t-test for the differences in group means and a logit regression model for comparing the groups were used. Results: Our final sample is composed of 611 students with 79% of the respondents identifying as straight, and 20% in the LGBTQ+ group. Our results showed that LGBTQ+ students exhibited higher levels of anxiety and fear compared to the non-LGBTQ+ groups. Also, a large proportion of LGBTQ+ students were negatively impacted by the pandemic as compared to the non-LGBTQ+ groups (p = 0.05), while they generally have more positive views on the public health measures to alleviate the adverse impacts from COVID-19 (p = 0.001). Conclusions: Public health emergency management should adopt appropriate strategies and adapt their services to support the mental health needs of LGBTQ+ students. Our study highlighted the need to design tailored health promotion programs and enhance support systems for LGBTQ+ college students during similar emergencies.
Remote Monitoring and Virtual Appointments for the Assessment and Management of Depression via the Co-HIVE Model of Care: A Qualitative Descriptive Study of Patient Experiences
Authors: Thompson Aleesha , Naidoo Drianca , Becker Eliza , Trentino Kevin M. , Rooprai Dharjinder , Lee Kenneth
Published: October 2024

Objective: This qualitative study sought to explore patient experiences with technologies used in the Community Health in a Virtual Environment (Co-HIVE) pilot trial. Technology is becoming increasingly prevalent in mental healthcare, and user acceptance is critical for successful adoption and therefore clinical impact. The Co-HIVE pilot trialled a model of care whereby community-dwelling patients with symptoms of depression utilised virtual appointments and remote monitoring for the assessment and management of their condition, as an adjunct to routine care. Methods: Using a qualitative descriptive design, participants for this study were patients with symptoms of moderate to severe depression (based on the 9-item Patient Health Questionnaire, PHQ-9), who had completed the Co-HIVE pilot. Data was collected via semi-structured interviews that were audio-recorded, transcribed clean-verbatim, and thematically analysed using the Framework Method. Results: Ten participants completed the semi-structured interviews. Participants reported experiencing more personalised care, improved health knowledge and understanding, and greater self-care, enabled by the remote monitoring technology. Additionally, participants reported virtual appointments supported the clinician–patient relationship and improved access to mental health services. Conclusions: This experience of participants with the Co-HIVE pilot indicates there is a degree of acceptance of health technologies for use with community mental healthcare. This acceptance demonstrates opportunities to innovate existing mental health services by leveraging technology.
GLP-1 RA Prescribing Errors in a Multidisciplinary Digital Weight-Loss Service: A Retrospective Quantitative Analysis
Authors: Talay Louis , Vickers Matt , Fuller Sarah
Published: October 2024

Background: Digital weight loss services (DWLSs) that use Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have demonstrated potential in contributing to a shift in global obesity rates. However, reasonable concerns have been raised about the prescribing safety of these services. Prior to this study, electronic prescribing safety had only been investigated in hospital settings and community clinics. Methods: This study retrospectively analyzed prescribing errors committed over a 6-month period in 2023 at Australia’s largest GLP-1 RA-supported DWLS. Results: The analysis found that 1654 (4.4%) of the 37323 audited GLP-1 RA prescriptions contained an error. Most errors pertained to insufficient safety counselling (49.15%) and inadequate investigations of potential contraindications (30.29%). Although a large portion of prescribing errors were detected via the automated query method (64.9%), the other three auditing methods all detected a significant number of true errors (>100). Patients from the highest body mass index category (40+ kg/m2) were overrepresented in the service’s prescribing error data. Conclusions: These findings lay a vital foundation in the emerging literature on GLP-1 RA-supported DWLSs.
Experiences of Second-Grade Primary School Children and Their Teachers in a Mind–Body Activity Program: A Descriptive Qualitative Study
Authors: Lopez-Sierra Yaiza , Trapero-Asenjo Sara , Rodríguez-Costa Isabel , Granero-Heredia Gonzalo , Pérez-Martin Yolanda , Nunez-Nagy Susana
Published: October 2024

Objectives: This study explored the experiences of second-grade children and their teachers who participated in a mind–body program to understand its impact on their development. Methods: A qualitative descriptive study was conducted. Student data were collected through seven focus groups, and semi-structured interviews were conducted with tutors in December 2021. Data analysis was performed following COREQ guidelines. Results: Three themes were generated: (1) competitiveness and restlessness in children: something needs to be done; (2) seeds sown and fruits harvested; and (3) it is necessary to advance from the occasional to the structural. Participants reported positive changes in areas of their development such as self-regulation, relaxation, attention capacity, and stress reduction. Improvements in interpersonal relationships and social skills were also observed. Conclusions: These improvements in emotional well-being and social skills highlight the importance of this type of intervention in the school environment.
Global Research Trends in Physical Activity Barriers: A Study on Men
Authors: Gumus Huseyin , Koc Mustafa Can , Talaghir Laurentiu-Gabriel
Published: October 2024

In this study, bibliometric properties of studies on physical activity barriers in men were analyzed using the Biblioshiny interface in R programming language. According to the results of the analysis, a total of 867 articles were published in 397 journals between 1992 and 2024. A great majority of the related studies were produced by American authors and institutions in the USA. The keywords frequently used by the authors were physical activity, exercise, barrier, health, male, and adult. In recent years, the most studied trend topics related to physical activity barriers in men were mellitus, health benefits, university students, stigma, glycemic control, time, and facilitator urban. The present study indicated that there is a need for both individual and institutional studies on physical activity barriers in men. The research results showed that there were still significant gaps in understanding physical activity barriers specific to men. Understanding these gaps is crucial for developing effective interventions, creating targeted health promotion strategies, and informing public health policy. This conclusion suggests that while we have a growing body of research on physical activity barriers in men, there is still much research to be conducted in terms of developing a comprehensive understanding and effective interventions to address these barriers.
Exploring the Interplay of Bud Load and Pruning Type in Shaping ‘Xinomavro’ (Vitis vinifera L.) Vine Growth, Yield, and Berry Composition
Authors: Theocharis Serafeim , Gkrimpizis Theodoros , Karadimou Christina , Nikolaou Kleopatra-Eleni , Koundouras Stefanos , Taskos Dimitrios
Published: October 2024

‘Xinomavro’ (V. vinifera L.) is an important native red wine grape variety in Northern Greece, particularly in PDO (protected designation of origin) regions. Despite its significance, there is limited research on the effects of pruning type and severity on ‘Xinomavro’ vine physiology, yield, and berry quality across diverse environmental conditions. This study aimed to address this knowledge gap and provide growers with crucial information for optimizing vineyard management practices. The study was conducted over two consecutive years (2016 and 2017) in a vineyard in Thessaloniki, Northern Greece. Four treatments (B12: 12 buds on 6 spurs, B24: 24 buds on 12 spurs, M12: 12 buds on 2 canes, and M24: 24 buds on 4 canes) combining two bud load levels (12 or 24 count nodes) and two pruning types (short spurs or long canes) were applied to ‘Xinomavro’ vines in a complete block randomized design. The vine water status, gas exchange, canopy characteristics, yield components, and berry composition were measured. Bud load and pruning type significantly influenced vine canopy development, microclimate, and yield components. Short pruning with high bud load (B24) resulted in denser canopies and higher yields, whereas cane pruning (M12 and M24) led to more open canopies and improved berry quality indicators. Treatment effects on berry composition were inconsistent across years but showed a tendency for higher anthocyanin and total phenol content in cane-pruned vines. This study demonstrates that pruning type (short or long fruiting units) may have a greater impact on vine growth, yield, and berry composition than bud load alone in ‘Xinomavro’ vines. Cane pruning appears to be a more effective strategy for achieving vine balance and potentially improving grape quality under given experimental conditions.
The GCN4 Transcription Factor: A Review of Its Functional Progress in Fungi
Authors: Li Yanqiu , Yang Yuzhen , Chen Bin , Zhao Mingwen , Zhu Jing
Published: October 2024

Nitrogen serves as a pivotal nutrient for the proliferation, maturation, and pathogenicity of fungi. Despite its importance, nitrogen starvation is a common challenge encountered during fungal development and host invasion. A key regulatory transcription factor, known as general control non-derepressible 4 (GCN4), has been characterized in various fungal groups, including model fungal, pathogens, and basidiomycetes. This factor is triggered by nitrogen limitation and subsequently stimulates the expression of a multitude of genes involved in amino acid synthesis, thereby countering the effects of nitrogen deficiency. This paper provides a comprehensive review on the activation mechanisms, the structural characteristics and stability of GCN4, and how GCN4 activates its downstream target genes to regulate the physiological processes of fungi. This study lays the theoretical groundwork for future research endeavors that seek to enhance nitrogen utilization, preserve the delicate balance of carbon–nitrogen metabolism, and stimulate growth, development, and secondary metabolism in fungi, especially under nitrogen-limited conditions.
Phytohormones and Mineral Nutrient Changes in Young Plants of Grapevine Genotypes at Different Growth Stages
Authors: Urbano-Gálvez Antonio , López-Climent María F. , Gómez-Cadenas Aurelio , Mahouachi Jalel
Published: October 2024

Climate change is considered a threat for viticulture by altering phenology, yield, and key physiological processes. The plant responses depend on the genotype characteristics and the microclimate of crop area. In this research, “Castellana Negra”, “Negramoll”, and “Tintilla” were cultivated for 102 days, and physiological variables were assessed under natural conditions. Results indicated similar trends in growth between “Negramoll” and “Tintilla”, while ”Castellana Negra” grew slowly and possessed fewer leaves compared to the other genotypes. Stomatal conductance was constant among the genotypes, excepting “Negramoll”, which demonstrated lower values at d 76 compared to “Castellana Negra” and “Tintilla”, coinciding with the elevated leaf temperature. Regarding the hormonal changes, “Castellana Negra” accumulated the highest concentration of salicylic acid (SA) compared to “Negramoll” and “Tintilla”, which showed similar content. Furthermore, an antagonistic change between SA and jasmonic acid (JA) was observed in all genotypes, as well as between abscisic acid (ABA) and JA at the beginning and end of the trial. The variations in micronutrients did not show a clear tendency between cultivars. Therefore, to thoroughly elucidate the role of phytohormones and other physiological factors in the growth and development of these genotypes under varying environmental conditions, long-term experiments could be conducted.
CmSN Regulates Fruit Skin Netting Formation in Melon
Authors: Liang Xiaoxue , Wang Panqiao , Luo Chen , Li Xiang , Mao Wenwen , Hou Juan , Fan Junlong , Guo Yan , Cheng Zhiqiang , Li Qiong , Hu Jianbin
Published: October 2024

Melon (Cucumis melo) includes more than ten botanical groups, many of which feature netting ornamentation on the surface of mature fruit. Ripe melons display a netted skin that signifies their ripeness and readiness for consumption. Previously, we identified SKIN NETTING (CmSN), which encodes an EamA-like transporter family protein, as the candidate gene controlling fruit skin netting formation in melon, while its biological functions remain unclear. In this study, we demonstrated that the expression of the CmSN gene was considerably lower in netted melons compared to smooth-skinned melons, indicating a negative correlation between CmSN expression and netting formation. Subsequently, we employed transient overexpression and virus-induced gene silencing (VIGS) experiments to explore the role of CmSN gene during fruit development. Overexpression of the CmSN gene inhibited netting development, whereas silencing it promoted netting formation. Using heterologous transformation in tomato, we further confirmed the effect of the CmSN gene on rind texture and toughness, as these tomatoes exhibited rougher and tougher skins. Analysis with near-isogenic lines (NILs) revealed that CmSN gene-bearing fruits (NIL_CmSN) possessed significantly harder rinds than the control smooth-skinned variety HB42, underscoring the role of CmSN in enhancing rind protection. Together, our research offers essential insights into the netting formation and genetic improvement of melon fruits.
Biological Acclimatization of Micropropagated Al-Taif Rose (Rosa damascena f. trigintipetala (Dieck) R. Keller) Plants Using Arbuscular Mycorrhizal Fungi Rhizophagus fasciculatus
Authors: Dewir Yaser , Al-Ali Ali , Al-Obeed Rashid , Habib Muhammad , Malik Jahangir , Alshahrani Thobayet , Al-Qarawi Abdulaziz , Murthy Hosakatte
Published: October 2024

Tissue culture is used to multiply Al-Taif rose (Rosa damascena f. trigintipetala (Dieck) R. Keller) plants in order to meet the demands of the fragrance, cosmetic, and floriculture industries. The use of arbuscular mycorrhizal fungus (AMF) could potentially improve plant growth and acclimatization performance to ex vitro conditions. Thus, in the current study, we investigated how AMF Rhizophagus fasciculatus influences the growth, establishment, and physiological performance of micropropagated Al-Taif rose plants during the acclimatization stage. The growth and physiological parameters of the AMF-treated plants were evaluated after a 12 week growth period in the growth chambers. The plants treated with AMF exhibited greater height (25.53 cm) and biomass growth values for both shoot fresh weight (0.93 g/plant) and dry weight (0.030 g/plant), more leaves (11.3/plant), more leaf area (66.15 cm2), longer main roots (15.05 cm/plant), total root length (172.16 cm/plant), total root area (64.36 cm2/plant), and biomass from both fresh weight (383 mg/plant) and dry weight (80.00 mg/plant) of the plants. The plants treated with AMF also exhibited increased rates of net CO2 assimilation, stomatal conductance, and transpiration compared to the control plants. The proline content in the leaves and roots was significantly lower in the AMF-treated plants than untreated plants. The Fv/Fm ratio, which serves as an indicator of the intrinsic or maximal efficacy of Photosystem II (PSII) demonstrated a notable decline in the untreated Al-Taif rose plants. These results elucidate the advantageous impact of AMF colonization on micropropagated Al-Taif rose plants, thereby enhancing their resilience against adverse ex vitro conditions.
Feasibility of Emergency Flood Traffic Road Damage Assessment by Integrating Remote Sensing Images and Social Media Information
Authors: Zhu Hong , Meng Jian , Yao Jiaqi , Xu Nan
Published: October 2024

In the context of global climate change, the frequency of sudden natural disasters is increasing. Assessing traffic road damage post-disaster is crucial for emergency decision-making and disaster management. Traditional ground observation methods for evaluating traffic road damage are limited by the timeliness and coverage of data updates. Relying solely on these methods does not adequately support rapid assessment and emergency management during extreme natural disasters. Social media, a major source of big data, can effectively address these limitations by providing more timely and comprehensive disaster information. Motivated by this, we utilized multi-source heterogeneous data to assess the damage to traffic roads under extreme conditions and established a new framework for evaluating traffic roads in cities prone to flood disasters caused by rainstorms. The approach involves several steps: First, the surface area affected by precipitation is extracted using a threshold method constrained by confidence intervals derived from microwave remote sensing images. Second, disaster information is collected from the Sina Weibo platform, where social media information is screened and cleaned. A quantification table for road traffic loss assessment was defined, and a social media disaster information classification model combining text convolutional neural networks and attention mechanisms (TextCNN-Attention disaster information classification) was proposed. Finally, traffic road information on social media is matched with basic geographic data, the classification of traffic road disaster risk levels is visualized, and the assessment of traffic road disaster levels is completed based on multi-source heterogeneous data. Using the “7.20” rainstorm event in Henan Province as an example, this research categorizes the disaster’s impact on traffic roads into five levels—particularly severe, severe, moderate, mild, and minimal—as derived from remote sensing image monitoring and social media information analysis. The evaluation framework for flood disaster traffic roads based on multi-source heterogeneous data provides important data support and methodological support for enhancing disaster management capabilities and systems.
Using 3D Hand Pose Data in Recognizing Human–Object Interaction and User Identification for Extended Reality Systems
Authors: Hamid Danish , Ul Haq Muhammad Ehatisham , Yasin Amanullah , Murtaza Fiza , Azam Muhammad Awais
Published: October 2024

Object detection and action/gesture recognition have become imperative in security and surveillance fields, finding extensive applications in everyday life. Advancement in such technologies will help in furthering cybersecurity and extended reality systems through the accurate identification of users and their interactions, which plays a pivotal role in the security management of an entity and providing an immersive experience. Essentially, it enables the identification of human–object interaction to track actions and behaviors along with user identification. Yet, it is performed by traditional camera-based methods with high difficulties and challenges since occlusion, different camera viewpoints, and background noise lead to significant appearance variation. Deep learning techniques also demand large and labeled datasets and a large amount of computational power. In this paper, a novel approach to the recognition of human–object interactions and the identification of interacting users is proposed, based on three-dimensional hand pose data from an egocentric camera view. A multistage approach that integrates object detection with interaction recognition and user identification using the data from hand joints and vertices is proposed. Our approach uses a statistical attribute-based model for feature extraction and representation. The proposed technique is tested on the HOI4D dataset using the XGBoost classifier, achieving an average F1-score of 81% for human–object interaction and an average F1-score of 80% for user identification, hence proving to be effective. This technique is mostly targeted for extended reality systems, as proper interaction recognition and users identification are the keys to keeping systems secure and personalized. Its relevance extends into cybersecurity, augmented reality, virtual reality, and human–robot interactions, offering a potent solution for security enhancement along with enhancing interactivity in such systems.
Interactive Segmentation for Medical Images Using Spatial Modeling Mamba
Authors: Tang Yuxin , Li Yu , Zou Hua , Zhang Xuedong
Published: October 2024

Interactive segmentation methods utilize user-provided positive and negative clicks to guide the model in accurately segmenting target objects. Compared to fully automatic medical image segmentation, these methods can achieve higher segmentation accuracy with limited image data, demonstrating significant potential in clinical applications. Typically, for each new click provided by the user, conventional interactive segmentation methods reprocess the entire network by re-inputting the click into the segmentation model, which greatly increases the user’s interaction burden and deviates from the intended goal of interactive segmentation tasks. To address this issue, we propose an efficient segmentation network, ESM-Net, for interactive medical image segmentation. It obtains high-quality segmentation masks based on the user’s initial clicks, reducing the complexity of subsequent refinement steps. Recent studies have demonstrated the strong performance of the Mamba model in various vision tasks; however, its application in interactive segmentation remains unexplored. In our study, we incorporate the Mamba module into our framework for the first time and enhance its spatial representation capabilities by developing a Spatial Augmented Convolution (SAC) module. These components are combined as the fundamental building blocks of our network. Furthermore, we designed a novel and efficient segmentation head to fuse multi-scale features extracted from the encoder, optimizing the generation of the predicted segmentation masks. Through comprehensive experiments, our method achieved state-of-the-art performance on three medical image datasets. Specifically, we achieved 1.43 NoC@90 on the Kvasir-SEG dataset, 1.57 NoC@90 on the CVC-ClinicDB polyp segmentation dataset, and 1.03 NoC@90 on the ADAM retinal disk segmentation dataset. The assessments on these three medical image datasets highlight the effectiveness of our approach in interactive medical image segmentation.