bluuebunny/crossref_metadata_2025 huggingface dataset:
Embodied Learning in Early Mathematics Education: Translating Research into Principles to Inform Teaching
Authors: Way Jennifer , Ginns Paul
Published: June 2024

There exists a substantial body of research evidence that embodied learning modes can enhance children’s mathematics learning, yet implementation of the research findings in classrooms has so far been limited. This paper argues the need for translational research to bridge the gap between psychological, neuroscientific, and narrow-focused educational research and teaching practice in schools. As a foundation for such research, and with a focus on early year mathematics education (4 to 8 years), we derive a set of 12 principles of embodied learning from the research literature by applying an integrative literature review method. Based on the findings from the literature, we offer some advice on how these principles might be put into practice with young students.
Mathematical Modelling Abilities of Artificial Intelligence Tools: The Case of ChatGPT
Authors: Spreitzer Carina , Straser Oliver , Zehetmeier Stefan , Maaß Katja
Published: June 2024

This work explores the mathematical modelling capabilities of various iterations of ChatGPT, focusing on their performance across tasks of differing complexity and openness. The study examines the abilities of GPT-3.5, GPT-4.0, and a more instructed version, GPT-MM, in multiple scenarios. It is observed that all versions demonstrate basic mathematical problem-solving skills. However, their effectiveness varies with increasing task complexity. While GPT-4.0 and GPT-MM show marginal improvements in providing detailed solutions, significant challenges persist, especially in moderate to complex modelling contexts where comprehending the nuances of tasks becomes challenging. Additionally, the study suggests that the openness of modelling tasks has a limited impact on performance, highlighting that mathematical and contextual complexities play more critical roles. The implications of these observations are discussed in terms of potential enhancements to teaching methodologies and the integration of AI tools like GPT in educational settings. This reiterates the importance of further research to fully understand the capabilities and limitations of AI tools and ensure their effective use in education.
Empowering Soft Skills through Artificial Intelligence and Personalised Mentoring
Authors: González-Rico Pablo , Lluch Sintes Mireia
Published: June 2024

At present, the integration of technology into education has generated a significant change in the way students access knowledge and develop skills. The availability of digital tools and online platforms has democratised access to information, allowing students to learn from anywhere and at any time. This article focuses on how the combination of artificial intelligence digital tools, such as ChatGPT, with one-to-one tutoring affects the development of soft skills in higher education students. A total of 182 university students participated in the study, divided into two groups. One group was required to construct an academic topic autonomously using only ChatGPT. The other group used the ChatGPT tool in conjunction with personal tutoring, with the teacher present to expand knowledge and enrich learning. The findings suggest that a combination of technology and meaningful human interactions is necessary to optimise the educational experience. While digital tools can be beneficial in accessing knowledge and developing skills, it is essential to acknowledge the value of individual connections with teachers in fostering authentic and deep learning. Furthermore, the study considers the potential necessity to modify and refocus both teaching participation and the student assessment system. This would entail a shift away from an emphasis on the memorisation of theoretical knowledge and towards the training and development of soft skills, competences, values and social implications.
Future Teachers’ Perceptions about Their Preparedness to Teach Science as Inquiry
Authors: Achurra Ainara , Uskola Araitz , Zamalloa Teresa
Published: June 2024

Driven by current educational policies and the community of science education researchers, inquiry-based science education (IBSE) poses a challenge for both in-service and pre-service teachers (PSTs). This research aims to explore, describe, and characterize PSTs’ perceptions of their preparedness to implement IBSE in primary school classrooms. Qualitative and quantitative data were collected through a questionnaire administered to 102 PSTs in two moments of their IBSE training at a university during their Primary Education degree. According to the findings, almost all PSTs demonstrated a strong willingness to implement IBSE in their future classrooms. However, these PSTs perceive their preparedness differently: some PSTs feel very prepared; some others only feel prepared if certain obstacles do not exist; there are PSTs who believe they lack knowledge on IBSE; some PSTs need more confidence; and some PSTs need all of the above (the least prepared). Additionally, it was found that some PSTs exhibit overconfidence. In conclusion, the data reveal diversity in preparedness for IBSE among PSTs, underscoring the importance of conducting this type of exploration to develop strategies that address the unique strengths and limitations of each PST.
An Analog Delay-Locked Loop with Digital Coarse Lock Incorporating Error Compensation for Fast and Robust Locking
Authors: Kang Hyungmin , Koo Jahyun , Woo Jeong-Min , Ji Youngwoo , Son Hyunwoo
Published: June 2024

This paper presents an analog delay-locked loop (DLL) with a digital coarse lock and error compensation, designed to enhance locking speed in duty-cycled operation while ensuring reliability. To accelerate coarse locking speed and prevent coarse lock failure, the proposed DLL combines a low-resolution digital-to-analog converter (DAC) with an analog method for accurate lock range identification, efficiently handling scenarios where the DAC’s limited resolution could lead to failure. Additionally, it enables the rapid control of voltage adjustments by disconnecting a loop filter during the coarse lock, eliminating the need for a buffer. The DLL improves the coarse lock process reliability by compensating for potential false lock errors caused by circuit non-idealities, such as residual RC delay and amplifier offset. Furthermore, it reuses the previously identified DAC input for the duty-cycled operation to significantly reduce relock time. To mitigate the risk of potential false lock resulting from changes in locking conditions, it can update the previous DAC input upon relocking, ensuring more reliable relocking. The proposed DLL, implemented in a 28 nm CMOS process, reduces initial lock and relock times by an average of 49.3% and 65.9% at a supply voltage of 0.5 V, and 42.4% and 70.2% at 1 V, respectively, compared to the conventional analog DLL.
An Efficient SS-MAC Protocol for IEEE 802.15.4-Based WSNs of Cluster Tree Topology
Authors: Li Suoping , Yuan Youyi , Pan Guodong
Published: June 2024

Wireless sensor networks (WSNs) based on the IEEE 802.15.4 standard have important applications in many fields, such as the Internet of Things and smart cities because of their low energy consumption. Hybrid carrier sense multiple access/time division multiple access (CSMA/TDMA) is the key technique to reduce energy consumption in the standard, but it also increases packet delay and reduces network throughput. Although the cluster tree topology is a typical topology defined by the IEEE 802.15.4 standard, there are few efficient medium access control (MAC) protocols specifically for this type of topology. To this end, we present an improved hybrid CSMA/TDMA MAC protocol based on a sharable slot algorithm for WSNs with cluster tree topology, called sharable slot-based MAC (SS-MAC). By designing the operating mechanism and frame structure, improving the hybrid CSMA/TDMA and channel-hopping techniques of IEEE 802.15.4 MAC, and introducing a sharable slot algorithm to wake up tree nodes asynchronously as well as a short address strategy to identify member nodes, the proposed protocol improves packet delay and throughput under the premise of low collision and low node energy consumption. Moreover, we derive mathematical expressions of the parameters of the sharable slot algorithm and evaluate the energy consumption, throughput and packet delay of the SS-MAC based on the queue modeling of packet arrivals. Numerical simulations verify that the proposed MAC protocol outperforms the other three existing MAC protocols, namely, IEEE 802.15.4 MAC, SSMA and LELLMAC, in terms of energy consumption, throughput and packet delay.
Mitigation of Low Harmonic Ripples Based on the Three-Phase Dual Active Bridge Converter in Charging Station Applications
Authors: Goto Takuya , Pham The-Tiep , Nguyen Nam-Danh , Yukita Kazuto , Nguyen Duy-Dinh
Published: June 2024

To minimize the recharge time of EVs, Level 3 charging stations utilizing DC fast charging systems have become increasingly prevalent. Additionally, these systems offer bidirectional functionality, aiding in stabilizing the DC grid during peak hour. As a result, the DC–DC converters utilized in such systems must be capable of bidirectional energy transfer. Among existing typologies, DAB converters are preferred due to their simplicity and sustainability. The three-phase DAB (DAB3) is favored because the output ripple is lower compared to the single-phase structure. This characteristic assists in mitigating the negative effects on the battery caused by high-frequency current ripple. However, the input to DAB3 converters typically originates from AC–DC stages, leading to the inclusion of low harmonic frequency ripples (e.g., multiples of 360 Hz). These ripples are then transferred to the battery, increasing its temperature. To address this issue, this paper proposes a technique to mitigate negative effects by attenuating these low frequencies in the charging current. Simulations were conducted to demonstrate the effectiveness of the proposed technique. Scaled-down experiments utilizing a DAB3 prototype were conducted to corroborate the simulations. The findings demonstrated a reduction in ripple from 8.66% to below 2.67% when compared to the original controller. This reduction enabled the solution to meet the limiting current ripple criteria outlined in the CHAdeMO standard.
Dependent Task Offloading and Resource Allocation via Deep Reinforcement Learning for Extended Reality in Mobile Edge Networks
Authors: Yu Xiaofan , Zhou Siyuan , Wei Baoxiang
Published: June 2024

Extended reality (XR) is an immersive technology widely applied in various fields. Due to the real-time interaction required between users and virtual environments, XR applications are highly sensitive to latency. Furthermore, handling computationally intensive tasks on wireless XR devices leads to energy consumption, which is a critical performance constraint for XR applications. It has been noted that the XR task can be decoupled to several subtasks with mixed serial–parallel relationships. Furthermore, the evaluation of XR application performance involves both subjective assessments from users and objective evaluations, such as of energy consumption. Therefore, in edge computing environments, ways to integrate task offloading for XR subtasks to meet users’ demands for XR applications is a complex and challenging issue. To address this issue, this paper constructs a wireless XR system based on mobile edge computing (MEC) and conducts research on the joint optimization of multi-user communication channel access and task offloading. Specifically, we consider the migration of partitioned XR tasks to MEC servers and formulate a joint optimization problem for communication channel access and task offloading. The objective is to maximize the ratio of quality of experience (QoE) to energy consumption while meeting the user QoE requirements. Subsequently, we introduce a deep reinforcement learning-based algorithm to address this optimization problem. The simulation results demonstrate the effectiveness of this algorithm in meeting user QoE demands and improving energy conversion efficiency, regardless of the XR task partitioning strategies employed.
EEG Emotion Recognition Employing RGPCN-BiGRUAM: ReliefF-Based Graph Pooling Convolutional Network and BiGRU Attention Mechanism
Authors: Jiang Chao , Sun Xinyi , Dai Yingying , Zhang Yujin , Chen Duo , Li Yingjie , Tang Yingying
Published: June 2024

Emotion recognition plays a crucial role in affective computing, and electroencephalography (EEG) signals are increasingly applied in this field due to their effectiveness in reflecting brain activity. In this paper, we propose a novel EEG emotion recognition model that combines the ReliefF-based Graph Pooling Convolutional Network and BiGRU Attention Mechanisms (RGPCN-BiGRUAM). RGPCN-BiGRUAM effectively integrates the advantages of graph convolutional networks and recurrent neural networks. By incorporating ReliefF weights and an attention mechanism into graph pooling, our model enhances the aggregation of high-quality features while discarding irrelevant ones, thereby improving the efficiency of information transmission. The implementation of a multi-head attention mechanism fusion in BiGRU addresses the limitations of single-output features, achieving optimal selection of global features. Comparative experiments on public datasets SEED and DEAP demonstrate that our proposed RGPCN-BiGRUAM significantly improves classification performance compared to classic algorithms, achieving state-of-the-art results. Ablation studies further validate the design principles of our model. The results of this study indicate that RGPCN-BiGRUAM has strong potential for EEG emotion recognition, offering substantial possibilities for future applications.
Voltage Rise Mitigation in Medium-Voltage Networks with Long Underground Cables and Low Power Demand
Authors: Ćetković Deni , Žutolija Josip , Komen Vitomir
Published: June 2024

Medium-voltage (MV) distribution networks that are spread through larger territory and threatened by extreme weather conditions are sometimes formed by very long underground cable lines. In such circumstances, a significant amount of capacitive reactive power flow can be generated. If, concurrently, there is low power demand in the network, it can result in significant reverse reactive power flows and voltage rise issues. This paper proposes a general approach for analyzing and mitigating voltage rise issues and demonstrates it using an example of a real distribution network that operates under the described conditions. Previous studies that dealt with this problem did not include the allocation of multiple shunt reactors in a larger distribution network, modeling a high number of lines that create reverse reactive power flows, and modeling the main distribution transformers, which are the locations where voltage rise predominantly occurs. In this paper, we demonstrate that precise allocation and placement of multiple shunt reactors in a fully modeled, larger distribution system, including transformer models, can reduce reverse reactive power flows, thereby improving voltage in the distribution system. If hourly control of the power factor from the distributed generation unit is also implemented, the voltage can be further improved.
The Formation and Stability of HA–Fe/Mn Colloids in Saturated Porous Media
Authors: Zheng Junhao , Jiang Mei , Li Qingzhu , Yang Weichun
Published: June 2024

Fe/Mn (hydr)oxides are metallic compounds that exhibit significant redox activity in environmental media and play a pivotal role in geochemical processes, thereby influencing the fate of metals in porous media. The morphology of Fe/Mn (hydr)oxides in natural environments and their interactions with trace metals are significantly influenced by the presence of natural organic matter (NOM). However, there is limited understanding regarding the formation, transport, and stability of Fe/Mn (hydr)oxides in the environment. The present study employed humic acid (HA) as a representative NOM material to investigate the positive influence of HA on the formation of Fe/Mn colloids. However, there remains limited comprehension regarding the formation, transport, and stability of Fe/Mn (hydr)oxides in the natural environment. In this study, we investigated the positive effect of natural organic matter (NOM) on the formation of Fe/Mn colloids using humic acid (HA) as a representative NOM material. We comprehensively characterized the chemical and physical properties of HA–Fe/Mn colloids formed under various environmentally relevant conditions and quantitatively analyzed their subsequent aggregation and stability behaviors. The findings suggest that the molar ratios of C to Fe/Mn (hydr)oxide play a pivotal role in influencing the properties of HA–Fe/Mn colloids. The formation and stability of HA–Fe/Mn colloids exhibit an upward trend with increasing initial molar ratios of C to Fe/Mn. Redox and metal–carboxylic acid complexation reactions between HA and hydrated iron/manganese oxides play a pivotal role in forming colloidal HA–Fe/Mn complexes. Subsequent investigations simulating porous media environments have demonstrated that the colloidal structure resulting from the interaction between HA and Fe/Mn facilitates their migration within surrounding porous media while also enhancing their retention in the surface layers of these media. This study offers novel insights into the formation and stabilization mechanisms of HA–Fe/Mn colloids, which are pivotal for comprehending the behavior of Fe/Mn colloids and the involvement of Fe/Mn (hydr)oxides in geochemical cycling processes within porous media.
Predictive Model for Bark Beetle Outbreaks in European Forests
Authors: Fernández-Carrillo Ángel , Franco-Nieto Antonio , Yagüe-Ballester María Julia , Gómez-Giménez Marta
Published: June 2024

Bark beetle outbreaks and forest mortality have rocketed in European forests because of warmer winters, intense droughts, and poor management. The methods developed to predict a bark beetle outbreak have three main limitations: (i) a small-spatial-scale implementation; (ii) specific field-based input datasets that are usually hard to obtain at large scales; and (iii) predictive models constrained by coarse climatic factors. Therefore, a methodological approach accounting for a comprehensive set of environmental traits that can predict a bark beetle outbreak accurately is needed. In particular, we aimed to (i) analyze the influence of environmental traits that cause bark beetle outbreaks; (ii) compare different machine learning architectures for predicting bark beetle attacks; and (iii) map the attack probability before the start of the bark beetle life cycle. Random Forest regression achieved the best-performing results. The predicted bark beetle damage reached a high robustness in the test area (F1 = 96.9, OA = 94.4) and showed low errors (CE = 2.0, OE = 4.2). Future improvements should focus on including additional variables, e.g., forest age and validation sites. Remote sensing-based methods contributed to detecting bark beetle outbreaks in large extensive forested areas in a cost-effective and robust manner.
Stand Age and Climate Change Effects on Carbon Increments and Stock Dynamics
Authors: Vangi Elia , Dalmonech Daniela , Morichetti Mauro , Grieco Elisa , Giannetti Francesca , D’Amico Giovanni , Nakhavali Mahdi (Andre) , Chirici Gherardo , Collalti Alessio
Published: June 2024

Carbon assimilation and wood production are influenced by environmental conditions and endogenous factors, such as species auto-ecology, age, and hierarchical position within the forest structure. Disentangling the intricate relationships between those factors is more pressing than ever due to climate change’s pressure. We employed the 3D-CMCC-FEM model to simulate undisturbed forests of different ages under four climate change (plus one no climate change) Representative Concentration Pathways (RCP) scenarios from five Earth system models. In this context, carbon stocks and increment were simulated via total carbon woody stocks and mean annual increment, which depends mainly on climate trends. We find greater differences among different age cohorts under the same scenario than among different climate scenarios under the same age class. Increasing temperature and changes in precipitation patterns led to a decline in above-ground biomass in spruce stands, especially in the older age classes. On the contrary, the results show that beech forests will maintain and even increase C-storage rates under most RCP scenarios. Scots pine forests show an intermediate behavior with a stable stock capacity over time and in different scenarios but with decreasing mean volume annual increment. These results confirm current observations worldwide that indicate a stronger climate-related decline in conifers forests than in broadleaves.
Anti-Inflammatory, Antioxidant, and Genoprotective Effects of Callus Cultures Obtained from the Pulp of Malus pumila cv Miller (Annurca Campana Apple)
Authors: Gubitosa Federica , Fraternale Daniele , Benayada Leila , De Bellis Roberta , Gorassini Andrea , Saltarelli Roberta , Donati Zeppa Sabrina , Potenza Lucia
Published: June 2024

Apples are rich in phytochemicals useful for human health. However, environmental factors can greatly affect the accumulation of these compounds. To face this problem, the callus culture technique was used to obtain large quantities of phytochemicals. Specifically, two callus cultures were obtained from ripe Annurca apple pulp (Malus pumila cv Miller) and cultivated under different light conditions: darkness and an 18-h photoperiod. The hydro-alcoholic extracts from the calli underwent analysis using GC-MS, GC-FID, and HPLC-DAD-ESI-MSn to determine the qualitative and quantitative content of phenolic and triterpenic acids. The study revealed the predominant presence of triterpenic compounds in both calli. Furthermore, we investigated their radical scavenging and antioxidant activities through DPPH, ABTS, ORAC assays, and lipoxygenase inhibition activity. Genoprotection was evaluated via nicking assay, and the anti-inflammatory effect was investigated via Griess assay on LPS-injured murine macrophages. All the analyses performed were compared with peel and pulp hydroalcoholic extracts. The results showed that both calli primarily show anti-inflammatory activity and moderate antioxidant effect and can protect DNA against oxidative stimuli. This data encouraged further research aimed at utilizing callus as a bioreactor to produce secondary metabolites for use in preventive and therapeutic applications to combat acute or chronic age-associated diseases.
Differences and Mechanism of Waxy Corn Starch and Normal Corn Starch in the Preparation of Recrystallized Resistant Starch (RS3)
Authors: Su Qing , Chen Lirong , Sun Linlin , Liu Kaichang , Gong Kuijie
Published: June 2024

This study prepared resistant starch (RS) from waxy corn starch and normal corn starch and analyzed the effects of its molecular and microstructural characteristics on RS content. The RS content of waxy corn resistant starch (RS-WCS) was highest at 57.8%, whereas that of normal corn resistant starch (RS-NCS) was 41.46%. The short-chain amylose contents of RS-WCS and RS-NCS were 47.08% and 37.24%, respectively, proportional to their RS content. Additionally, RS content positively correlated with crystallinity, short-range order degree, and degree of polymerization (DP), exceeding 25. Electron microscopic images, before and after enzymolysis, revealed that RS-WCS was hydrolyzed from the surface to the center by pancreatic α-amylase, while RS-NCS underwent simultaneous hydrolysis at the surface and center. These results indicate that the higher RS content in RS-WCS, compared to RS-NCS, is attributable to the synergistic effects of molecular structure and microstructure.
Purification, Characterization, and Anti-Inflammatory Potential of Free and Bound Polyphenols Extracted from Rosa roxburghii Tratt Pomace
Authors: Li Chao , Li Hengyi , Fu Xiong , Huang Qiang , Li Yinghua
Published: June 2024

Rosa roxburghii Tratt pomace (RRTP), an underutilized byproduct, is rich in polyphenol compounds. This study aimed to further explore the purification, characterization, anti-inflammatory activities, and underlying molecular mechanisms of free polyphenols (RRTP-FP) and bound polyphenols (RRTP-BP) from RRTP. The results indicated that AB-8 macroporous resin emerged as the preferred choice for subsequent separation and purification. The purities of purified RRTP-FP (P-RRTP-FP) and purified RRTP-BP (P-RRTP-BP) increased by 103.34% and 66.01%, respectively. Quantitative analysis identified epigallocatechin, epicatechin, and ellagic acid as the main phenolic compounds in P-RRTP-FP. In P-RRTP-BP, the primary phenolic compounds were ellagic acid, epicatechin, and gallic acid. In vitro antioxidant assays demonstrated the superior DPPH and ABTS radical scavenging activities of P-RRTP-FP and P-RRTP-BP compared to vitamin C. Treatment with P-RRTP-FP and P-RRTP-BP reduced nitric oxide (NO) and reactive oxygen species (ROS) production, mitigated the decline in cellular membrane potential, and significantly downregulated the mRNA expression of pro-inflammatory cytokines and inducible nitric oxide synthase (iNOS) in lipopolysaccharide (LPS)-stimulated RAW264.7 macrophages. Additionally, P-RRTP-FP and P-RRTP-BP inhibited the phosphorylation of pertinent proteins in the nuclear factor kappa-B (NF-κB) and mitogen-activated protein kinase (MAPK) signaling pathways. This finding suggests potential utility of RRTP-derived polyphenols as anti-inflammatory agents for managing severe inflammatory conditions.
Existence of Positive Solutions for Non-Local Magnetic Fractional Systems
Authors: Bouali Tahar , Guefaifia Rafik , Boulaaras Salah , Radwan Taha
Published: June 2024

In this paper, the existence of a weak positive solution for non-local magnetic fractional systems is studied in the fractional magnetic Sobolev space through a sub-supersolution method combined with iterative techniques.
Correction: Norjeli et al. Additive Manufacturing Polyurethane Acrylate via Stereolithography for 3D Structure Polymer Electrolyte Application. Gels 2022, 8, 589
Authors: Norjeli Muhammad Faishal , Tamchek Nizam , Osman Zurina , Mohd Noor Ikhwan Syafiq , Kufian Mohd Zieauddin , Ghazali Mohd Ifwat Bin Mohd
Published: June 2024

In the original publication [...]
Antimicrobial Hydrogels Based on Cationic Curdlan Derivatives for Biomedical Applications
Authors: Suflet Dana M. , Popescu Irina , Stanciu Magdalena-Cristina , Rimbu Cristina Mihaela
Published: June 2024

Hydrogels based on biocompatible polysaccharides with biological activity that can slowly release an active principle at the wound site represent promising alternatives to traditional wound dressing materials. In this respect, new hydrogels based on curdlan derivative with 2-hydroxypropyl dimethyl octyl ammonium groups (QCurd) and native curdlan (Curd) were obtained at room temperature by covalent cross-linking using a diepoxy cross-linking agent. The chemical structure of the QCurd/Curd hydrogels was investigated by Fourier transform infrared spectroscopy (FTIR) spectroscopy. Scanning electron microscopy (SEM) revealed well-defined regulated pores with an average diameter between 50 and 75 μm, and hydrophobic micro-domains of about 5 μm on the pore walls. The high swelling rate (21–24 gwater/ghydrogel) and low elastic modulus values (7–14 kPa) make them ideal for medical applications as wound dressings. To evaluate the possible use of the curdlan-based hydrogels as active dressings, the loading capacity and release kinetics of diclofenac, taken as a model drug, were studied under simulated physiological skin conditions. Several mathematical models have been applied to evaluate drug transport processes and to calculate the diffusion coefficients. The prepared QCurd/Curd hydrogels were found to have good antibacterial properties, showing a bacteriostatic effect after 48 h against S. aureus, MRSA, E. coli, and P. aeruginosa. The retarded drug delivery and antimicrobial properties of the new hydrogels support our hypothesis that they are candidates for the manufacture of wound dressings.
Obesity in Saudi Medical Students and Alignment with Eating Disorders: A Stratified Random Cross-Sectional Investigation
Authors: Alrasheed Abdullah A. , AbuDujain Nasser M. , Almohammedi Samar , Alrayes Rahaf , Alajlan Fahad , Abdulqader Osama , Albarrak Majd , Alharbi Khalid H. , Almigbal Turky H. , Batais Mohammed A.
Published: June 2024

As a result of the increasing global incidence of obesity and related diseases, this study aims to investigate the prevalence of obesity and its correlation with eating disorder (ED) screening among medical students to develop effective prevention strategies and provide better outcomes for these students. We conducted a quantitative analytical cross-sectional study at the College of Medicine at King Saud University between November 2023 and February 2024. A stratified random sampling technique was utilized, enrolling a net number of 415 participants. Participants were asked several questions, including demographic information, weight, height, and past medical history, and were given a validated screening tool for EDs. Participants’ mean age was 21.4 ± 1.67 years, and 17.6% were considered obese. The prevalence of positive screening for EDs was 27.7%; it was more common in females (p = 0.013) and those who earned more than 1000 SAR per month (p = 0.011). Female students also exhibited almost twice the odds of having EDs than males (AOR = 1.957; 95% CI = 1.218–3.146; p = 0.006). Furthermore, non-obese students showed decreased odds of having EDs compared with obese students by at least 48% (AOR = 0.517; 95% CI = 0.287–0.929; p = 0.027). Our study revealed a concerning prevalence of ED symptoms and obesity among medical students, suggesting profound implications. Therefore, multicenter studies are needed to assess the generalizability of the results and apply the findings to targeted national campaigns and interventions tailored specifically to medical students.
Evaluating the Perceived Health-Related Effectiveness of ‘The Daily Mile’ Initiative in Irish Primary Schools
Authors: Hanna Luke , Burns Con , O’Neill Cian , Coughlan Edward
Published: June 2024

Many Irish primary school children do not meet recommended physical activity (PA) guidelines. The Daily Mile (TDM) is a primary school initiative designed to increase children’s PA output. This study evaluates TDM’s perceived effect on Irish primary school children’s health-related metrics. A mixed-methods study, comprising two data collection phases, used the RE-AIM framework to evaluate TDM. Phase One involved teachers, principals and classroom assistants (n = 191) from TDM-registered schools completing a questionnaire. Two TDM-registered schools participated in Phase Two, where (i) interviews were conducted with each principal, (ii) a teacher sub-sample (n = 4) participated in a focus group, and (iii) a child sub-sample (n = 14) participated in separate focus groups. TDM was perceived to positively impact the markers of children’s health, including their PA behaviour, physical fitness and social well-being. Inclement weather (66.5%) and a lack of time (56.5%) were reported as the top-ranked implementation barriers. Moreover, TDM’s repetitive nature often left children feeling disinterested and resulted in some teachers modifying the initiative to maintain engagement levels. Maintaining the long-term implementation of TDM and its health benefits in primary schools may require bespoke amendments to the original format to preserve children’s engagement.
Reflexive Views of Virtual Communities of Practice among Informal and Formal Caregivers of People with a Dementia Disease
Authors: Lukic Sandra , Lethin Connie , Christensen Jonas , Malmgren Fänge Agneta
Published: June 2024

Knowledge seems to mitigate the consequences of dementia and new educational strategies are required. This study aimed to qualitatively explore the reflexive views and experiences of virtual Communities of Practice (vCoP) among informal and formal caregivers of people with dementia and explore vCoP as a tool for learning and knowledge development. Data were collected in a sequence of virtual workshops and analyzed and synthesized using thematic analysis. For the informal caregivers, one main theme emerged: Learning and support, comprising three subthemes: Strategies for learning; Creating emotional support; and in need of professional support. Among formal caregivers, one main theme emerged: Professional development, comprising two subthemes: Sharing and gaining knowledge and Knowledge as a professional tool. vCoP and collaborative learning using an educational platform seem to support learning and professional development among informal and formal caregivers, respectively. As a collaborative, virtual activities seem to provide practical and emotional support and promote professional development; vCoP seem to have the potential to promote the resilience and sustainability of care. Further research is necessary to gain an understanding of the effects of Communities of Practice (CoP) and vCoP and their successful implementation in care practices as well as the potential of using CoP in continuing professional development, CPD.
Evaluation of Community Involvement and Development in an Orthopedic Hospital
Authors: Moldovan Flaviu , Moldovan Liviu
Published: June 2024

Improving healthcare requires appropriate community involvement supported by appropriate partner engagement methods. This research aims to develop a complex tool for evaluating the social responsibility of health facilities regarding community involvement and development. We developed areas of a new reference framework for the sustainability of healthcare organizations, which includes the area of community involvement and expansion. It is made up of nine indicators. These were designed using the most representative activities reported by hospitals around the world. Their testing was conducted in an orthopedic emergency hospital. The designed indicators are community engagement actions; the interventions’ content adapted to the community; partnership and networking; the involvement of volunteers and training networks; the involvement and participation of professional associations; community-involved local opinion leaders; satisfaction with partnerships; initiatives together with the community; and educational visits. The testing and validation of health practices of the indicators highlighted their adequacy with the proposed purpose of the research and the promotion of sustainable development. We have also verified their compatibility with the requirements of national hospital accreditation legislation and the European framework for quality assurance in hospitals.
Perception of Periodontitis Patients about Treatment Outcomes: A Cross-Sectional Study in Saudi Arabia
Authors: Alkhurayji Khalid Saad , Al Suwaidan Hessah , Kalagi Farah , Al Essa Mohamed , Alsubaie Mohammed , Alrayes Saja , Althumairi Arwa
Published: June 2024

Patient compliance following periodontal therapy is extremely important in predicting the prognosis of the disease and maintaining treatment outcomes. Therefore, this study aimed to investigate the perception of periodontitis patients about treatment outcomes. A cross-sectional study was conducted among periodontitis patients in a single dental center through a pre-validated questionnaire that was distributed to each participant in the waiting area of periodontal clinics by utilizing a convenience sampling technique. Median and interquartile ranges were used in addition to frequency and percentages. Bivariate analyses were performed using the Mann–Whitney U and Kruskal–Wallis test. Among the 300 male and female participants, the median score (interquartile range) of the current level of pain revealed that males experienced more pain than females, with a median score of 5 (0–7) for males and 4 (0–6) for women. However, the median (interquartile range) for desired and expected pain levels in both genders was 0 (0–1), 0 (0–4). There were significant differences in median score ratings between males and females for expected, distress, success, and importance levels (p-value < 0.05). Patients with periodontitis provided valuable insights into the experiences of individuals undergoing treatment for periodontal disease, indicating overall patient satisfaction with the expected levels of periodontal outcomes.
The Influence of Different LED Light Treatments on the Growth and Salt Stress Tolerance of Cauliflower Microgreens In Vitro
Authors: Pavlović Suzana , Girek Zdenka , Damnjanović Jelena , Roljević Nikolić Svetlana , Mickovski Stefanović Violeta , Đorđević Melnik Olivera , Milojević Jelena
Published: June 2024

The aim of this study was to investigate the effects of different LED lights on the growth of cauliflower microgreens and to determine which combination of LED light best increases tolerance to salt stress and promotes the growth and accumulation of secondary antioxidants in the presence of salt stress in vitro. Plants were grown in a growth chamber under different LED light treatments (red light, blue light, a combination of red and blue light, and cool white light) and in MS media with different NaCl concentrations (0, 50, and 100 mM). The effects of the different light qualities and salt stress conditions on growth, content of photosynthetic pigment, flavonoids, phenol, proline, and antioxidant enzyme activity were measured. The best treatments for microgreen development, according to the data, were those that combined red and blue light. In addition to increasing stress tolerance and enabling plant growth at a lower salt concentration (50 mM NaCl), the combination of blue and red light also enhanced the synthesis and accumulation of secondary metabolites and the antioxidant potential of microgreens grown in vitro, which may have nutritional and pharmaceutical value.
The Accumulation and Physiological Responses of Camellia sinensis to Heavy Metals
Authors: Dai Haixiang , Xiao Juan , Wu Chuansheng , Yu Lei
Published: June 2024

Heavy metals refer to metal elements with a density greater than 4.5 g/cm3. In recent years, human activities have increasingly exacerbated heavy metal pollution, and people are increasingly paying attention to the harm of heavy metal pollution to agricultural products. Tea is a common food, and the accumulation and physiological response of its parent Camellia sinensis to heavy metals have received increasing attention from scholars. Studies have shown that heavy metals can enter and accumulate in Camellia sinensis in various ways, and their toxicological effects on Camellia sinensis mainly include inhibiting growth and development, disrupting physiological and metabolic balance, and reducing the concentration of various chemicals in the body. This article summarizes the pathways by which heavy metals enter Camellia sinensis; the accumulation, physiological response, and tolerance effects of heavy metals in Camellia sinensis; and the underlying mechanisms involved. Finally, suggestions and prospects are made for the shortcomings of current research and future research directions.
Characterization of Lectin from Bauhinia holophylla Using Bioinformatics Tools
Authors: Camargos Ludmila Maria Gonçalves Godoi de , Lopes Débora de Oliveira , Castro Ana Hortência Fonseca
Published: June 2024

Lectins are proteins of a non-immune nature with activity against microorganisms, insects, and tumor cells. The aim of this work was to predict the physicochemical characteristics, structure, and functional properties of a Bauhinia holophylla lectin (BhL), sequenced from genomic material obtained from calli cultures, through bioinformatics tools. The results showed a high similarity between the Bhl gene and nucleotide sequences that encode lectins expressed by Bauhinia species and a high identity between the protein sequence of BhL and lectins from B. forficata (90%), B. variegata (79.04%), B. purpurea (78.01%), and B. ungulata (85.27%). BhL has 289 amino acids, of which 30, 85, and 174 residues are related to α-helix, β-sheet, and disordered regions, respectively. Their estimated molecular weight is 31.9 kDa and the theoretical isoelectric point is 5.79. Bauhinia holophylla lectin possibly undergoes phosphorylation and glycosylation at specific sites. Conserved protein domains, catalytic sites, and conserved amino acids were observed in BhL, bringing it closer to lectin families from other legume species. The prediction signaled the presence of a sequence of 28 amino acids at the N-terminal end of BhL, with a high hydropathicity index and conceptualized as a signal peptide. The molecular function predicted for BhL was associated with carbohydrate recognition activity. BhL could be an extracellular protein, and its three-dimensional structure showed 78.82% identity with the B. purpurea lectin.
Application of Organic Waste Derived from Vitamin C Industry Increases Yield and Bioactive Constituents of Medicinal Food Plant Purslane (Portulaca oleracea L.)
Authors: Gao Mingfu , Zhang Zihui , Yang Weichao , Sun Hao , Xu Hui
Published: June 2024

Purslane (Portulaca oleracea L.) is widely distributed and commonly utilized as an important medicinal food plant. The application of organic matter is a frequently employed strategy to enhance the quality and growth of medicinal plants. However, there is limited research on the impact of low-molecular-weight organic carbon on medicinal plants. This study evaluated the influence of the residue after evaporation (RAE) from industrial fermentation of vitamin C (L-ascorbic acid, ASA), which mainly consists of low-molecular-weight organic acids (LMWOAs), on the growth and bioactive constituents of purslane. Cultivation with different doses (2.7, 1.35, and 0.675 mL RAE per kg of soil) of RAE exhibited the highest levels of enhancement in the ASA, dopamine, total alkaloids, and total phenols content by 103.28%, 118.38%, 32.43%, and 27.64%, respectively, while promoting purslane’s growth. Furthermore, there was a dose–effect relationship between the dose of RAE and purslane’s ASA, total phenols, dopamine and total alkaloids. Metabolomic analysis revealed that the effects of RAE on pathways related to ASA synthesis, glycolysis, citrate cycle and amino acid synthesis contributed to the bioactive constituent accumulation in purslane. These findings suggest that RAE can effectively modulate the primary metabolic processes, thereby enhancing the yield and bioactive constituents of purslane. It is a valuable source of LMWOAs for the cultivation of medicinal plants. The resource utilization of RAE will enhance the production of medicinal plants, thereby contributing to satisfying the demand for bioactive natural products in the pharmaceutical, cosmetic, and food industries.
Horticultural Food Plants in Traditional Herbal Medicine in the Mediterranean Basin: A Review
Authors: Cozzolino Alessia , Motti Riccardo , Cartenì Fabrizio , De Magistris Anna , Gherardelli Mara , Vitasović-Kosić Ivana
Published: June 2024

The Mediterranean Basin’s diverse climates and ecosystems have shaped a rich botanical heritage through centuries of selective cultivation, resulting in a wide array of horticultural plants with valuable therapeutic properties. The use of horticultural food plants as herbal remedies has become an integral part of traditional medicine in this geographical context. The present review aims to highlight the use of horticultural food plants (HFPs) in the context of traditional herbal medicine in the countries of the Mediterranean Basin and explore their traditional uses and therapeutic properties. A comprehensive ethnobotanical literature search was conducted on the food plants used as herbal medicine in the Mediterranean region using existing online scientific databases. Based on the literature review, 64 taxa used as medicinal plants by traditional users in the Mediterranean Basin were documented. Overall, horticultural plants are used in Mediterranean countries to treat a total of 573 ailments. Italy has the highest number of use reports (998), followed by Morocco (281) and Spain (193). Apiaceae (11 taxa), Cucurbitaceae (9 taxa), and Brassicaceae (8 taxa) are the most frequently cited families. The genus Allium is the most abundant in species (5).
Evolution of Biogenic Nitrogen from Digestates for Lettuce Fertilization and the Effect on the Bacterial Community
Authors: Caterino Domenico , Follador Alessia , Galbusera Jonathan , Guffanti Davide , Cocetta Giacomo , Geuna Filippo , Dell’Orto Marta , Scaglia Barbara , Passera Alessandro , Riva Elisabetta , Casati Paola , Ferrante Antonio , Tambone Fulvia
Published: June 2024

Among the many inputs, nitrogen fertilizers are the main yield-limiting factor in agriculture. Liquid fractions of digestates can be a most promising substitute to synthetic nitrogen fertilizers, using little energy to turn waste into valuable fertilizers. In this study, the efficacy of five digestates from different origin (C, cow slurry; P, pig slurry; PCE, pig slurry, cow slurry, energy crops; SS, sewage sludge; W, organic fraction of municipal waste) were assessed as fertilizers for the cultivation of Lactuca sativa L., compared to traditional mineral fertilization. Digestates showed promising results as fertilizers for Lactuca sativa L., as yield and chemical parameters were overall comparable to the mineral fertilizer. Analysis of nitrogen evolution showed that most digestates showed higher nitrates in the substrates than the mineral fertilizers at earlier stages. Another topic investigated in the study is the effect of the digestates on the bacterial populations of the growth substrate, investigated through quantification and sequencing of 16S gene. These results varied based on the digestate considered, but, in general, an increase in biodiversity could be linked to use of digestates. These results suggest that digestates might become an alternative to mineral fertilizers, contributing to the circular economy and waste reduction.
Differential Rates of Glycation Following Exposure to Unique Monosaccharides
Authors: Clarke Derek M , Koutnik Andrew P , Johnson Richard J , DeBlasi Janine M , Bikman Benjamin T , Arroyo Juan A , Reynolds Paul R
Published: June 2024

A complication of reducing sugars is that they can undergo Maillard chemical reactions, forming advanced glycation end-products (AGEs) that can induce oxidative stress and inflammation via engagements with the main receptor for AGEs (RAGE) in various tissues. Certain sugars, such as glucose and fructose, are well known to cause AGE formation. Recently, allulose has emerged as a rare natural sugar that is an epimer of fructose and which is of low caloric content that is minimally metabolized, leading to it being introduced as a low-calorie sugar alternative. However, the relative ability of allulose to generate AGEs compared to glucose and fructose is not known. Here we assess the accumulation of AGEs in cell-free, in vitro, and in vivo conditions in response to allulose and compare it to glycation mediated by glucose or fructose. AGEs were quantified in cell-free samples, cell culture media and lysates, and rat serum with glycation-specific ELISAs. In cell-free conditions, we observed concentration and time-dependent increases in AGEs when bovine serum albumin (BSA) was incubated with glucose or fructose and significantly less glycation when incubated with allulose. AGEs were significantly elevated when pulmonary alveolar type II-like cells were co-incubated with glucose or fructose; however, significantly less AGEs were detected when cells were exposed to allulose. AGE quantification in serum obtained from rats fed a high-fat, low-carb (HFLC) Western diet for 2 weeks revealed significantly less glycation in animals co-administered allulose compared to those exposed to stevia. These results suggest allulose is associated with less AGE formation compared to fructose or glucose, and support its safety as a low-calorie sugar alternative.