Search Results (298)

This study investigates the effectiveness of contact and online biology teaching by assessing student performance and gathering perceptions from students, teachers, and parents. Conducted in autumn 2021 with 3035 students, 124 biology teachers, and 719 parents, this study combined post-instruction assessments of student performance in knowledge reproduction and conceptual understanding with questionnaires examining perceptions of contact and online biology teaching effectiveness across students, teachers, and parents. To investigate how various teaching-related factors influence perceived understanding of biological content, we applied a CHAID-based decision tree model to questionnaire responses from students, teachers, and parents. Results indicated that students value engaging, flexible instruction, sufficient time to complete tasks and support for independent thinking. Teachers emphasized their satisfaction with teaching and efforts to support student understanding. In contact lessons, students preferred problem-solving, teacher guidance, and a stimulating environment. In online learning, they preferred low-stress, interesting lessons with room for independent work. Parents emphasized satisfaction with their child’s learning and the importance of a focused, stimulating environment. This comparative analysis highlights the need for student-centered, research-based biology teaching in both formats, supported by teachers and delivered in a motivating environment. The results offer practical insights for improving biology instruction in different teaching modalities. Full article

Background: In recent years, there has been increasing interest in the application of repetitive Transcranial Magnetic Stimulation (rTMS) and transcranial Direct-Current Stimulation (tDCS) to enhance and rehabilitate the language abilities in individuals with neurodegenerative diseases. Objective: The aim of this narrative literature review is to investigate the usefulness of rTMS and tDCS to improve language abilities in people with Primary Progressive Aphasia (PPA). Methods: This narrative literature review was conducted through a search of the PubMed online database to identify studies investigating the effects of multiple sessions of rTMS or tDCS on language abilities in PPA patients, applied either as stand-alone interventions or in combination with language treatment. Results: Thirty-three studies fulfilled the inclusion criteria; five studies employed rTMS without language treatment; two studies applied tDCS as stand-alone intervention; twenty-two studies combined tDCS with language treatment; and four studies assessed the effects of tDCS during verbal task without language treatment. Conclusions: rTMS and tDCS applied with or without concomitant language treatment appear to be promising interventions for enhancing language abilities in PPA, with sustained effects reported over time. Further research is necessary to optimise stimulation protocols and to improve our understanding of their long-term effects. Moreover, randomised controlled trials (RCTs) with larger sample sizes are critically needed to clarify the true impact of brain stimulation in PPA, with a focus on changes in cognitive and functional performance, neural activity, and potential molecular correlates. Full article

Steady-state visual evoked potential (SSVEP) paradigms are widely used in brain–computer interface (BCI) systems due to their reliability and fast response. However, traditional static stimuli may reduce user comfort and engagement during prolonged use. This study proposes a dynamic stimulation paradigm combining periodic motion trajectories with speed control. Using four frequencies (6, 8.57, 10, 12 Hz) and three waveform patterns (sinusoidal, square, sawtooth), speed was modulated at 1/5, 1/10, and 1/20 of each frequency’s base rate. An offline experiment with 17 subjects showed that the low-speed sinusoidal and sawtooth trajectories matched the static accuracy (85.84% and 83.82%) while reducing cognitive workload by 22%. An online experiment with 12 subjects participating in a fruit-slicing game confirmed its practicality, achieving recognition accuracies above 82% and a System Usability Scale score of 75.96. These results indicate that coordinated trajectory and speed modulation preserves SSVEP signal quality and enhances user experience, offering a promising approach for fatigue-resistant, user-friendly BCI application. Full article

Background: Non-medical use of prescription stimulants is increasing among college students worldwide. While intended for ADHD treatment, many students use these substances to improve their concentration and academic performance. Despite global research, little is known about the psychological and attitudinal factors influencing such use in the Israeli academic context. Objectives: We wished to examine the relationship between self-efficacy, attitudes toward stimulant use, and actual use among Israeli college students, aiming to uncover the mechanisms behind non-medical stimulant consumption. Methods: A cross-sectional online survey was conducted among 598 students from two Israeli academic institutions. The participants completed validated questionnaires assessing their demographic characteristics, stimulant use patterns, self-efficacy, and attitudes. Results: A total of 22% of students reported using stimulants, 17% of them without a prescription. Positive attitudes significantly increased the likelihood of use (Exp(B) = 3.31, p < 0.001), while higher self-efficacy reduced it (Exp(B) = 0.69, p < 0.01). A negative correlation was found between self-efficacy and favorable attitudes (r = −0.17, p < 0.001). The mediation analysis revealed that self-efficacy influences stimulant use entirely through its effect on attitudes toward stimulants. Additionally, stimulant use was significantly more common among Jewish students (25%) compared to non-Jewish students (11%; p < 0.05) and among smokers (36%) compared to non-smokers (20%; p < 0.001). Conclusions: Positive attitudes and low self-efficacy are key risk factors for stimulant misuse. These findings underscore the need for educational interventions aimed at strengthening self-efficacy and promoting healthier coping strategies in academic settings. Full article

This study explores a strategic framework for the sustainable development of Northern and Central Euboea (Evia), Greece, through the preservation and promotion of cultural and environmental assets. This research aims to redirect tourism flows from overdeveloped coastal zones to underutilized inland areas by leveraging local heritage and natural resources. The methodology was developed within the context of the AEI research project and combines bibliographic research, stakeholder consultation, GIS analysis, and socioeconomic assessment. Based on this framework, a series of thematic cultural routes and agritourism initiatives were designed to enhance regional attractiveness and resilience. The study proposes the utilization of ICT tools such as GIS-based mapping, a digital development platform, and an online tourism portal to document, manage, and promote key assets. The socioeconomic impact of the proposed interventions was evaluated using an input–output model, revealing that each EUR 1 million invested in the region is expected to generate EUR 650,000 in local GDP and create 14 new jobs. The results underscore the potential of alternative tourism to stimulate inclusive and sustainable growth, particularly in post-disaster rural regions. This integrated approach can serve as a model for other territories facing similar environmental, economic, and demographic challenges. Full article

Transcranial direct current stimulation (tDCS) modulates cortical excitability, thus inducing improvements in motor learning of simple tasks. In this study, we aimed to evaluate the effect of different tDCS conditions—anodal stimulation over the motor cortex (M1), anodal and cathodal stimulation over the prefrontal cortex (PFC), and sham—on the online and offline learning of a complex accuracy task (golf-putting) in novice golfers. Methods: A total of 40 young, healthy subjects (24 men, 16 women) without previous golf experience were randomly distributed in four groups receiving sham, anodal M1, anodal PFC or cathodal PFC tDCS. All subjects participated in two consecutive sessions. In the first session, they performed 15 blocks of 10 golf-putting along with tDCS stimulation. After 24 h, they performed the same task without tDCS. Results: Repeated measures ANOVA revealed a significant improvement in performance during the two consecutive golf-putting sessions regardless of the site and the stimulation conditions. Conclusion: Our findings suggest that tDCS over M1 or PFC does not confer additional benefits in the acquisition of complex, full-body motor skills such as golf-putting. Full article

Background: Transcranial direct current stimulation (tDCS) has exhibited potential in augmenting motor functions, neuroplasticity, and cognitive abilities within neurological rehabilitation contexts. Despite these promising outcomes, the utilization of tDCS in both research and clinical environments in Saudi Arabia remains relatively unexplored. Objective: This study aims to evaluate the knowledge, attitudes, and motivations of rehabilitation specialists in Saudi Arabia concerning tDCS. Methods: A cross-sectional observational study was conducted through an online questionnaire, involving 112 registered rehabilitation professionals. Results: While 58% of respondents acknowledged tDCS as a therapeutic tool, the overall knowledge level was modest, with a mean score of 3.0 ± 2.7 out of 9. Enhanced levels of knowledge were associated with individuals holding doctoral degrees (p = 0.02) and those with international training exposure (p = 0.03). Despite the limited knowledge base, an overwhelming 94.64% of participants displayed a neutral to positive attitude towards tDCS, with 52.7% recognizing its potential efficacy in neurological recovery. Principal obstacles to implementation included safety-related concerns (21.4%) and the need for specialized training (23.3%). Conclusions: Rehabilitation specialists in Saudi Arabia generally hold a favorable view of tDCS and demonstrate an eagerness to pursue further training. The results underscore the imperative for enhanced educational initiatives and practical training to address knowledge deficiencies and facilitate the seamless integration of tDCS into clinical routines. The implementation of structured training programs could not only reinforce adoption rates but also optimize the role of tDCS within rehabilitation. Full article

The ongoing exploration of brain–computer interfaces (BCIs) provides deeper insights into the workings of the human brain. Motor imagery (MI) tasks, such as imagining movements of the tongue, left and right hands, or feet, can be identified through the analysis of electroencephalography (EEG) signals. The development of BCI systems opens up opportunities for their application in assistive devices, neurorehabilitation, and brain stimulation and brain feedback technologies, potentially helping patients to regain the ability to eat and drink without external help, move, or even speak. In this context, the accurate recognition and deciphering of a patient’s imagined intentions is critical for the development of effective BCI systems. Therefore, to distinguish motor tasks in a manner differing from the commonly used methods in this context, we propose a fractal dimension (FD)-based approach, which effectively captures the self-similarity and complexity of EEG signals. For this purpose, all four classes provided in the BCI Competition IV 2a dataset are utilized with nine different combinations of seven FD methods: Katz, Petrosian, Higuchi, box-counting, MFDFA, DFA, and correlation dimension. The resulting features are then used to train five machine learning models: linear, Gaussian, polynomial support vector machine, regression tree, and stochastic gradient descent. As a result, the proposed method obtained top-tier results, achieving 79.2% accuracy when using the Katz vs. box-counting vs. correlation dimension FD combination (KFD vs. BCFD vs. CDFD) classified by LinearSVM, thus outperforming the state-of-the-art TWSB method (achieving 79.1% accuracy). These results demonstrate that fractal dimension features can be applied to achieve higher classification accuracy for online/offline MI-BCIs, when compared to traditional methods. The application of these findings is expected to facilitate the enhancement of motor imagery brain–computer interface systems, which is a key issue faced by neuroscientists. Full article

Background/Objectives: Chronic attention problems occur in approximately 25% of children after acquired brain injury (ABI). When delivered daily, transcranial direct current stimulation (tDCS) may improve attention; however, access to daily in-clinic tDCS treatment can be limited by other commitments, including concurrent therapy, school commitments, and caregiver schedules. Treatment access can be improved through home-based interventions, though these require several practical and safety considerations in a pediatric ABI population. This study evaluated the safety, feasibility, and tolerability of remotely monitored at-home tDCS during online gamified attention training in pediatric ABI. Methods: We conducted a randomized, single-blind, dose-controlled clinical trial of at home tDCS in Brisbane, Australia (10 tDCS sessions; 20 min; 1 mA or 2 mA; bilateral dorsolateral prefrontal cortex). Participants attended our clinic at baseline for clinical assessments, fitting of the personalized tDCS headband, and training in how to use tDCS at home. All sessions were remotely supervised using live videoconferencing. We assessed the feasibility and tolerability of at-home tDCS and our customized, personalized at-home tDCS headband as primary outcomes. As secondary outcomes, we evaluated changes in functional connectivity (fc) and reaction time (RT). Results: Seventy-three participants were contacted over six months (January-June 2023) and ten were enrolled (5 males; mean age: 12.10 y [SD: 2.9]), satisfying a priori recruitment timelines (CONSORT reporting). All families successfully set up tDCS and completed attention training with excellent protocol adherence. There were no serious adverse events over the 100 total sessions. Nine participants completed all stimulation sessions (1 mA: n = 5, 2 mA: n = 4). Participants in the 2 mA group reported greater tingling, itching, and discomfort (all p < 0.05). One participant in the 1 mA group was unable to complete all sessions due to tolerability challenges; however, these challenges were resolved in the second half of the intervention by gradually increasing the stimulation duration across the 10 days alongside additional coaching and support. Conclusions: Overall, daily remotely supervised at-home tDCS in patients with pediatric ABI is safe, feasible, and tolerable. Our results support larger, sham-controlled efficacy trials and provide a foundation for the development of safe and effective at-home stimulation therapeutics that may offer targeted improvement of neurocognitive symptoms in children. Full article

(1) Background: Brain–computer interfaces (BCIs) enable direct communication between the brain and external devices using electroencephalography (EEG) signals, offering potential applications in assistive technology and neurorehabilitation. Code-modulated visual evoked potential (cVEP)-based BCIs employ code-pattern-based stimulation to evoke neural responses, which can then be classified to infer user intent. While increasing the number of EEG electrodes across the visual cortex enhances classification accuracy, it simultaneously reduces user comfort and increases setup complexity, duration, and hardware costs. (2) Methods: This online BCI study, involving thirty-eight able-bodied participants, investigated how reducing the electrode count from 16 to 6 affected performance. Three experimental conditions were tested: a baseline 16-electrode configuration, a reduced 6-electrode setup without retraining, and a reduced 6-electrode setup with retraining. (3) Results: Our results indicate that, on average, performance declines with fewer electrodes; nonetheless, retraining restored near-baseline mean Information Transfer Rate (ITR) and accuracy for those participants for whom the system remained functional. The results reveal that for a substantial number of participants, the classification pipeline fails after electrode removal, highlighting individual differences in the cVEP response characteristics or inherent limitations of the classification approach. (4) Conclusions: Ultimately, this suggests that minimal cVEP-BCI electrode setups capable of reliably functioning across all users might only be feasible through other, more flexible classification methods that can account for individual differences. These findings aim to serve as a guideline for what is currently achievable with this common cVEP paradigm and to highlight where future research should focus in order to move closer to a practical and user-friendly system. Full article

Background: Traditionally, community-based education (CBE) programmes have been utilised for teaching medical students clinical and interpersonal skills through placement in underserved environments. This pilot cohort study tested an extended model of CBE by infusing patient education into student-conducted consultations with the dual objectives of stimulating improved learning for the students and improved health literacy for the patients. Methods: The intervention involved 38 final-year medical students and 85 adult patients and from underprivileged communities in North West London. The students first undertook online preparatory workshops on health literacy, communication skills, and cultural competence. Subsequently, they imparted 20–30 min educational sessions on chronic disease management and preventive care to the patients on their clinical placements. The quantitative measurement used pre- and post-intervention questionnaires, and the qualitative measurement was based on reflective diaries and patient feedback. Paired t-tests were used for statistical comparisons, while a thematic analysis was used for textual answers. Results: Student confidence in breaking down medical jargon improved from 2.8 ± 0.7 to 4.4 ± 0.5 (p < 0.01), and confidence in making use of visual aids improved from 2.5 ± 0.8 to 4.2 ± 0.6 (p < 0.01). Understanding among the patients of their health conditions improved from 27% to 74% (p < 0.001), and self-confidence in their ability to manage their health improved from 31% to 79% (p < 0.001). The qualitative feedback noted improved empathy, cultural sensitivity, and a positive effect on patient empowerment through tailored education. Conclusions: This CBE intervention had two benefits: improving teaching and communication skills in students and greatly enhancing health literacy in underserved patients. The integration of structured education into usual care encounters holds the promise of a scalable, sustainable method for addressing health disparities. Longer longitudinal studies are necessary to assess its long-term success and incorporation into medical education. Full article

The integration of artificial intelligence (AI) in education has profoundly transformed the learning landscape, offering significant opportunities for personalized, flexible, and efficient educational practices. This study explores the impact of AI on academic learning, focusing on the perceptions and behaviors of students from Valahia University of Târgoviște, Romania (N = 250). By analyzing the students’ use of AI tools such as learning assistants and content generation systems, this research identifies the factors influencing the integration of AI into educational practices. Using a quantitative approach with a self-administered online questionnaire, this study tested hypotheses regarding the influences of age, field of study, and self-reported AI usage on students’ perceptions of its impact on academic performance, motivation, and the development of essential skills such as critical thinking and learning autonomy. Statistical analyses were conducted using SPSS V26, and Spearman’s correlation revealed significant relationships between AI competency and perceptions of academic performance (ρ = 0.261, p < 0.001), personalized learning (ρ = 0.196, p = 0.002), and motivation (ρ = 0.234, p < 0.001). The results highlight AI’s potential to revolutionize educational practices by providing personalized learning experiences, stimulating motivation, and promoting lifelong learning skills. This research deepens the understanding of AI’s role in higher education and its implications for future learning models, emphasizing its capacity to transform both students and educators. Full article

Prolonged healing time of acute burn wounds is associated with increased pain, infection, risk of scarring, poorer mobility and higher financial and emotional burden. Electrical stimulation (ES) reduces healing time in chronic wounds; however, its reported use on acute burn wounds is limited. This systematic review (SR) aimed to evaluate the relative benefit of ES compared to routine wound care on the healing time of acute burn wounds in adults. The online databases queried included Cochrane Database of SR’s, MEDLINE, EMBASE, PUBMED and CINAHL. The search criteria included RCTs involving the application of ES of varying voltage, duration and modality in acute burn patients aged ≥18 years. The primary outcome investigated was days to burn wound closure, while the secondary outcomes included edema and infection. Four RCTs were discovered, involving a total of 143 participants with a mean age 35.5 years. Two RCTs demonstrated (a) 36% (2.6 days) reduction in time to wound closure with ES (p < 0.001); and (b) significant reduction in wound area with ES (11.2 ± 3.2 cm², p < 0.001) compared to controls at 21 days. Two RCTs found ES promoted better wound-healing environments, reducing edema, bacterial infection, and biofilm. This review highlighted low-risk wound-healing benefits with ES as a feasible adjunct to routine burn care. Full article

The growing popularity and consumption of herbal slimming supplements can be attributed to their perception as natural products that lack side effects. However, the composition and ingredient quality listed on their labels often undergo insufficient control. As a result, some manufacturers add undeclared synthetic pharmaceuticals to enhance weight loss effects. The synthetic adulterants, particularly the anorectic stimulants, have been associated with increased risks of cardiovascular adverse effects, posing significant health risks to consumers. This study aimed to analyze various weight loss supplements marketed as “natural” products to detect possible adulterants. A new high-performance thin-layer chromatography (HPTLC) method was used for initial screening, while gas chromatography coupled with mass spectrometry (GC–MS) served as a confirmation tool. Additionally, high-performance liquid chromatography (HPLC) was employed to analyze phenolphthalein. A total of 34 supplements acquired online or from specialty stores were analyzed. It was found that most of them contain caffeine from herbal ingredients included in the products’ formulation. Some products list the added caffeine, but the measured levels significantly exceeded the labeled values. The most commonly detected adulterants were sibutramine and phenolphthalein. These results highlighted the inadequacies and inconsistencies in labeling, as all herbal supplements were declared “natural” despite containing adulterants. Furthermore, they highlighted the suitability of the HPTLC method as an effective and cost-effective screening tool for detecting adulterants in dietary supplements. Full article

The maintenance of gas turbines relies a lot on gas path diagnostics (GPD), which includes two approaches. The first approach employs a physics-based model (thermodynamic model) to convert measurement shifts (deviations) induced by deterioration into fault parameters, which drastically simplify diagnostics. The second approach relies on data-driven models, makes diagnosis in the space of measurement deviations, and involves pattern recognition techniques. Although a thermodynamic model is an essential element of GPD, it has limitations. This model is a complex software critical to computer resources, and the computation sometimes does not converge. Therefore, it is difficult to use the model in online applications. Since the 1990s, we have developed many thermodynamic models for different engines. Since the 2000s, simplified data-driven models were investigated. This paper proposes to substitute a thermodynamic model for novel simplified data-driven models that have the same functionality, i.e., take into consideration the influence of both operating conditions and engine faults. The proposed models are formed and compared with the underlying thermodynamic model. To obtain a solid conclusion about these models, they are verified in twelve test cases formed by three test-case engines, two model types, and two approximation functions. Although the accuracy of the simplified models varies from 1.15% to 0.0082%, it was found acceptable even for the worst case. Thus, these simple-but-accurate models with the functionality of a physics-based model represent a good replacement for the latter. It is expected that the models will stimulate the further development of advanced diagnostic systems. Full article