In today's competitive digital landscape, social media marketing has become a powerful mechanism for shaping consumer perceptions and influencing purchase behavior. However, limited research has examined how social media marketing activities (SMMAs) drive consumers' willingness to pay premium prices for technology products, particularly in emerging markets. Grounded in the Stimulus-Organism-Response (S-O-R) framework, this study aims to clarify how five SMMA dimensions, including informativeness, interactivity, personalization, electronic word-of-mouth (eWOM), and trendiness, affect brand awareness, brand image, and brand trust, which subsequently shape consumer attitudes and willingness to pay premium prices for tech gadgets. A quantitative research design was adopted, and data were collected from 371 Vietnamese consumers through an online survey. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the study tested the hypothesized relationships among SMMAs, brand-related outcomes, and consumer responses. The findings reveal that informativeness, personalization, and eWOM significantly enhance brand awareness, image, and trust, while interactivity positively influences awareness but has no significant impact on image or trust. Moreover, brand image and brand trust emerge as critical determinants of consumers' willingness to pay premium prices. The results advance theoretical understanding by refining the S-O-R framework and extending personalization theory, highlighting the contextual roles of interactivity and trendiness in shaping brand-related outcomes. Practically, the study provides valuable insights for digital marketers in the tech gadget industry, emphasizing the need for transparent information, personalized marketing, and the amplification of positive eWOM to strengthen brand trust and increase consumers' willingness to pay premium prices.
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The integration of artificial intelligence (AI), virtual reality (VR) and haptic technologies is revolutionising dental education, offering transformative opportunities to enhance skill acquisition, ergonomic awareness and student well-being. These tools offer immersive, repeatable and personalised learning experiences, addressing challenges such as underdeveloped manual dexterity in digitally literate students and post-COVID disruptions in hands-on training. This letter aims to highlight the transformative potential of AI-driven adaptive feedback paired with VR and haptic simulators in creating risk-free environments for mastering complex procedures, while advocating for strategies to reduce clinical errors and promote sustainability by minimising reliance on physical resources. Despite their potential, barriers such as high costs, resistance to change, logistical complexities and insufficient longitudinal evidence hinder widespread adoption. These challenges perpetuate educational disparities, particularly in low-resource regions, and necessitate targeted strategies such as cost-effective models, faculty retraining and international collaboration. The rise of digitally native educators and global initiatives, such as the Digital, VR-Haptic Thinkers network, signals a shift toward future-ready curricula that prioritise equity, sustainability and innovation. As mandated by the EU's 2024 directive, digital dentistry knowledge is now a fundamental component of basic dental training. To fully harness these technologies, stakeholders must address evidence gaps, validate cognitive benefits and align curricula with modern learner expectations. This letter calls for urgent collaboration among educators, institutions and industry to overcome barriers, ensuring dental education evolves to meet 21st-century demands for equitable, high-quality oral healthcare delivery.
The rapid progress in fundamental technologies has sparked significant interest in multifunctional electronic gadgets with flexible and wearable capabilities, driving intense research into high-performance multifunctional devices. Here, a 2-fold approach is employed to design a multifunctional Ti3C2 MXene-doped methyl viologen (MV) and Prussian blue (PB)-based electrochromic energy storage device (Ti3C2-ECESD). First, role-specific components have been identified to achieve targeted functionality, and second, a density functional theory-based simulation in combination with experimental in situ voltage-dependent Raman measurements has been utilized to establish the working mechanism. The 2D material (Ti3C2 MXene), when used as a dopant, enhances the electrochromic properties and enables energy storage. Notably, an improved electrochromic property has also been achieved as the necessary prebleaching step was carried out in the device state configuration to avoid degradation due to side reactions in liquid solutions. The inclusion of Ti3C2 MXene in the device achieves a high color contrast of 84% with impressive coloration efficiency (506 cm2/C), durable stability over 1400 s, and a fast switching speed of ∼1.4 s. In conjunction with its improved electrochromic performance, the device exhibits good charge storage properties, characterized by fast charging and slow discharging, with a maximum specific capacitance of 33.4 mF/cm2 at a current density of 0.4 mA/cm2. To extend its on-site application, a flexible device has also been fabricated that can be easily bent or twisted, making it a promising candidate for real-life multifunctional applications in wearable electronic gadgets.
Introduction As gadgets become a part of human life, smartphone (SP) use involves repetitive hand and digit movements that may contribute to musculoskeletal strain, especially in the thumb, neck muscles, back muscles, and upper limb joints. Adoption of non-neutral postures during SP use may also contribute to musculoskeletal disorders. In the contemporary scenario, the present study aimed to assess the association between SP usage and musculoskeletal outcomes among medical students. Methods The phase II MBBS students were stratified into low (score of ≤30) and high (score of ≥30) users based on their response to the SAS-SV (Smartphone Addiction Scale-Short Version). The objectives were: (i) comparing forward head protrusion (FHP), measured using the craniovertebral angle (CVA); (ii) documenting the region of maximum pain among the neck, hands, and joints of both upper limbs using the visual analogue scale (VAS); and (iii) assessing the cross-sectional area (CSA) and circumference of the median nerve (MN) within the carpal tunnel, as well as the CSA of the flexor pollicis longus (FPL) tendon, measured at the mid-thenar level using ultrasonography. Results The CVAs of the low and high users were 45.89 ± 5.8 and 45.24 ± 4.8, respectively. The lower the CVA, the higher the FHP. The prevalence of neck pain was statistically higher among high users (p < 0.05). Pain was reported more frequently among high users in the shoulder and thenar regions, but this was not statistically significant. The circumference (1.10 ± 0.15), CSA (0.09 ± 0.16) of the MN, and thickness of the FPL (0.14 ± 0.27) were increased in high users in their dominant (right) hand compared to low users (1.08 ± 0.14, 0.06 ± 0.01, and 0.11 ± 0.19, respectively). Conclusion The study documents a possible association between increased SP use and musculoskeletal discomfort, particularly in the neck, but objective structural changes were not evident. The findings were not statistically significant, which may partly be due to methodological limitations. The planning and development of more specific preventive measures, which are critical for reducing SP-associated repetitive strain injuries, would benefit from future studies incorporating larger samples, dynamic assessments, and better control of confounding factors to clarify these relationships.
 Bad head postures while using mobile phones or other electronic gadgets may eventually cause text neck syndrome. If not treated, this could lead to stress injury and nerve damage. It can also lead to chronic pain in the neck and shoulder, headaches, and long-term problems in the alignment of the spine if left uncorrected. To assess the prevalence of text neck syndrome in medical students and to identify the factors associated with it. A cross-sectional study was conducted in the anatomy department of Sree Balaji Medical College and Hospital situated in Chennai, Tamil Nadu, from January to March 2025. The study was conducted among 303 undergraduate medical students studying in the second, pre-final, and final years, selected using a purposive sampling method. A pre-tested structured questionnaire collected data, and the Neck Disability Index (NDI) was used to assess the severity of neck disability. Data was collected and entered into an Excel data sheet (Microsoft Corp., Redmond, WA, USA) and analysed by using IBM SPSS Statistics for Windows, Version 26 (Released 2018; IBM Corp., Armonk, New York, United States). The mean age of the study participants was 21 ± 2.2. About 167 (56%) were males, and 136 (44%) were females. From the NDI questionnaire, the self-rated disability due to neck pain was found to be 105 (34.7%) with mild disability, 93 (30.70%) with moderate disability, and 23 (7.6%) with severe disability. This analysis showed a statistically significant association, P < 0.05, between the variable lack of awareness, P = 0.006, and the text neck syndrome. The chi-square test was used as the statistical method for this analysis. The prevalence of undergraduate medical students presenting with text neck syndrome was very high, with the majority showing mild to moderate neck disability. Lack of awareness about posture and lack of ergonomic practices are significantly associated with text neck syndrome. Early implementation of an awareness program and preventive ergonomic interventions will help in reducing long-term musculoskeletal complications.
Polluted water harms human health and the planet's wellbeing alike. Tackling the global energy crisis driven by rapid economic expansion and our reliance on power hungry gadgets demands innovative clean energy storage solutions. This study developed a ternary heterojunction photocatalyst based on g-C₃N₄/TiO₂/MWCNTs studied their structural, optical, and morphological properties, the produced materials were thoroughly evaluated via XRD, FTIR, BET, UV-Vis DRS, PL, SEM, TEM, Raman, and XPS studies. The photocatalytic activity of the g-C₃N₄/TiO₂/MWCNTs nanocomposite was evaluated via the degradation of rhodamine B dye under solar light with various parameters, and the results revealed that the g-C₃N₄/TiO₂/MWCNTs nanocomposite had 99% degradation efficiency with Z scheme mechanism and outperformed the pristine g-C₃N₄ sheet and TiO₂, with approximately 1.3 and 1.4 folds higher degradation rates, respectively. The photodegradation process was followed by pseudo first-order kinetics with a rate constant of 0.0922 min⁻¹, resulting in a 2.36 and 3.16 fold increase compared to pristine catalysts. The HR-MS and scavenger test results suggested that intermediates formed and that photoinduced radicals play important roles in the photodegradation process. Electrochemical impedance spectroscopy revealed improved electrical conductivity, and cyclic voltammetry investigations revealed an outstanding specific capacitance of 1860 F/g at 30 mV/s nearly six times greater than that of pristine g-C₃N₄ (348 F/g).The remarkable photocatalytic performance and good electrochemical properties of the g-C₃N₄/TiO₂/MWCNTs heterojunction highlight its promise as a multifunctional material for environmental purification and energy storage applications.
BACKGROUND: Wearable technology, particularly smartwatches, has become widely adopted, opening up new possibilities for tracking behaviors related to health. These gadgets allow young adults to track their heart rate, calorie expenditure, and physical activity in real time, which may raise their awareness of their food intake and encourage them to adopt better lifestyles. Despite its increasing popularity, little is known about how smartwatch analytics affect students’ dietary awareness and habits. OBJECTIVE: The study aimed to evaluate the disparity in knowledge among a group of health-conscious college students who use smartwatch technology and those who rely on traditional methods when it comes to nutrition practices, dietary choices, accountability behaviors, and food-intake awareness. METHODOLOGY: A cross-sectional study was conducted among 488 college students in Ar Rass, Al Qassim Region, using stratified convenience sampling. Data was gathered through questionnaires on dietary habits and smartwatch usage, and the Chi-square/Fisher Exact test was used to find the significance of study parameters on categorical scale between two or more groups. RESULTS: Significant gender differences were observed in BMI, field of study, and smartwatch usage, with males showing higher BMI and females with lower BMI. Smartwatch users showed greater awareness of their dietary choices and reported adopting healthier eating behaviors including higher frequency of eating fruits, vegetables, legumes, and whole grains compared with non-users. They were also more likely to monitor food intake and perceive wearable technology as beneficial for improving dietary behaviors. CONCLUSION: Smartwatch use was associated with enhanced dietary awareness and healthier eating practices among college students. Integrating wearable technologies into health promotion programs may help encourage sustainable lifestyle improvements in this age group, but generalizing these results should take individual motivations and accessibility differences into account.
The rapid increase in screen time among preschool children has become a growing public health concern, as digital gadgets are increasingly integrated into children's daily lives. Excessive screen exposure may reduce opportunities for direct social interaction and experiential learning, thereby increasing the risk of adverse personal-social development outcomes. Personal-social development is a critical component of early childhood growth, enabling children to interact effectively with peers and their environment. This study aimed to examine the association between the duration and intensity of screen time and the risk of suboptimal personal-social development among preschool-aged children. A quantitative cross-sectional study was conducted involving 98 parents of preschool children recruited from a single preschool setting in Bandung, Indonesia. Data were collected using structured, parent-reported questionnaires assessing screen time duration and frequency, and the risk of suboptimal personal-social development, based on a previously applied personal-social development instrument in the Indonesian context. Personal-social development scores were categorized into optimal (lower risk) and suboptimal (higher risk) based on an established cut-off. Screen time variables were classified according to risk-based thresholds. Descriptive statistics, chi-square tests, and multivariable analyses were performed to examine associations while adjusting for child age and parental education. The findings showed a statistically significant association between screen time duration and the risk of suboptimal personal-social development (p < 0.001), as well as between the intensity of gadget use and the risk of suboptimal personal-social development (p < 0.001). Children with prolonged daily screen time (≥120 minutes) had a higher risk of suboptimal personal-social development (53.1%) compared with those with limited screen exposure. Similarly, children who used gadgets frequently (>3 times per day) were at greater risk of suboptimal personal-social development than those with moderate or minimal use. Prolonged duration and high intensity of screen time are significantly associated with an increased risk of suboptimal personal-social development among preschool children. These findings highlight the importance of parental monitoring and the establishment of appropriate limits on screen use during early childhood. Health professionals, educators, and policymakers should work collaboratively to promote balanced digital habits and screen time awareness as part of early childhood development strategies in the digital era. This study contributes to achieving SDG 3 (Good Health and Well-being) and SDG 4 (Quality Education), particularly Target 4.2 on early childhood development. Provides new empirical evidence from Indonesia, a developing country context with rapidly increasing digital exposure among children.Longer screen time and more frequent gadget use were associated with a higher risk of suboptimal personal–social development among preschool children.Highlights the importance of parental guidance and structured screen-time management to support healthy digital device use among children.
Adaptive Learning System (ALS) is one of the useful learning tools that has emerged in the technological innovation of the educational sector. Many schools and universities have adopted it for academic use since the prompt of online learning. However, the relative evaluation of ALS has been undermined in the current generation - especially among developing countries. The purpose of this study was to analyze the variables affecting the actual academic use of online ALS among students. A total of 638 students from the Philippines answered an online survey of 50-item questions derived from the eleven constructs used in this study, which were analyzed simultaneously using Structural Equation Modeling. This study utilized two important theories, integrating both the Self-Determination Theory and the Unified Theory of Acceptance and Use of Technology Use in ALS acceptance. The findings showed that autonomy, competence, price value, and facilitating conditions were the significant factors in student's behavioral intention to use the ALS. Since developing countries are trying to adapt to the current trends among developed countries, it was suggested that developers may need to make their ALS accessible through other gadgets like smartphones and tablets. The findings of this study can contribute to the educational context of digital learning to meet the needs of the students by increasing their behavioral intentions to use ALS. Further, the results provided insights and suggestions to universities and ALS developers to collaborate on improving the ALS for the student's welfare in learning.
Miniaturization of high-performance antennas for sub-6 GHz applications such as 5G small cell, Internet of Things (IoT) devices, wearable medical system and industrial automation is essential in the near future, and the novel design methodology to realize the antenna miniaturization with high efficiency is required. In this context, this paper proposes a nature inspired antenna design using sneezewort leaf shape geometry combined with DGS (defective ground structure) to improve bandwidth and radiation features. A partial ground, the proposed antenna is very compact in size 18 × 19 × 1.6 mm3 (0.18λ × 0.2λ × 0.016λ) and has a wideband operation, that is, 3.16-5.42 GHz. It shows wide impedance bandwidth of 55.96% and has a highest gain of 2.1 dBi. Due to its planar, lightweight and low-profile structure, the antenna is ideal for low-cost mass production and easy integration with emerging wireless and healthcare gadgets. The multifunctional antenna lends itself to varied uses such as sub-6 GHz 5G communication, high-speed Wi-Fi, near-field vehicular radar, and industrial ISM-band devices. Besides, the antenna clearly show good prospect for many biomedical diagnostic applications, such as breast, brain, skin, lung, heart and kidney abnormalities detection, temporomandibular joint (TMJ) disorders, typhoid, bone fracture, dengue, food contaminations and lately even COVID-19. A breast tumor detection proof-of-concept is demonstrated exclusively by simulation using a breast phantom, which demonstrates the antenna sensitivity to changes in dielectric properties. These results indicate that the proposed antenna could be potential for the wireless communication in the future and also in the medical applications. Experimental validation including studies on physical phantoms and clinical studies will be included in future work.
With the rapid development of flexible portable wearable gadgets, flexible energy storage units characterized by power output and mechanical compliance are highly demanded. This study proposes a strategy for preparing yarn-shaped supercapacitor (YSC) electrode materials based on cobalt-based metal-organic framework (Co-MOF) derived NiFeCo layered double hydroxide (NiFeCo-LDH). By in situ growth of Co-MOF as a self-sacrificial template and cobalt source on the surface of carbon nanotubes coated polyester yarn (CPY), hierarchical structured MOF-derived NiFeCo-LDH@CPY composite materials were prepared through a one-step hydrothermal method. Comprehensive analytical studies have shown that the NiFeCo-LDH@CPY composite, derived from Co-MOF precursors with a Ni2+/Fe3+ molar proportion of 2:1, reveals a multilayered sheet morphology accompanied by a specific surface area of 134.879 m2 g-1. The electrochemical assessment verifies that this electrode displays an areal capacitance of 5589.8 mF cm-2 at a 1 mA cm-2 current density, as well as a rate capability of 85.69%, outperforming the conventionally synthesized NiFeCo-LDH@CPY (3708.2 mF cm-2, 36.15%). The fabricated symmetric yarn supercapacitor in quasi-solid-state configuration, incorporating this electrode material, functions across an operational voltage window spanning 0 to 1.6 V. It delivers the energy density of 17.35 μWh cm-2 under a power density of 127.39 μW cm-2, while preserving 80.05% of its pristine capacitance after enduring 10,000 charge-discharge cycles, and demonstrating mechanical pliability and structural robustness. This energy storage system additionally proves capable of illuminating LED matrices and energizing compact electronic apparatuses, thereby underscoring its considerable potential for deployment within wearable power applications.
Media use among children is widespread, and its impact on various aspects of life is increasingly recognized. The growing availability of information technology gadgets has led to a notable rise in screen exposure among the young population. Despite this, limited research exists on the influence of screen time on academic performance, particularly in developing countries. The present study aimed to investigate the relationship between screen time and academic performance among children aged 8-15 years, specifically assessing the association between total screen exposure and scholastic achievement in this age group. This cross-sectional observational study was conducted among 400 students aged 8-15 years, randomly selected from two public and two private schools. Data on academic performance were obtained from teachers and verified through school records, while information on screen exposure was collected using a structured questionnaire. Statistical analysis was performed using SPSS software, employing Spearman's correlation coefficient and Kruskal-Wallis tests to determine the relationship between screen exposure and academic performance. The mean total screen time among participants was 147.8 min/day, with television accounting for the maximum share (67.5 min). A statistically significant association was observed between television screen time and academic performance ( P = 0.013). Screen exposure among children in the 8-15-year age group exceeded the American Academy of Pediatrics' recommendations. Increased television viewing was significantly associated with poorer academic performance, highlighting the need for awareness and regulation of children's screen use. Résumé Contexte:L’utilisation des médias chez les enfants est largement répandue, et son impact sur divers aspects de la vie est de plus en plus reconnu. La disponibilité croissante des technologies de l’information a entraîné une augmentation notable du temps d’écran chez les jeunes. Malgré cela, les recherches sur l’influence du temps d’écran sur les performances scolaires restent limitées, en particulier dans les pays en développement. La présente étude visait à examiner la relation entre le temps d’écran et les performances académiques chez les enfants âgés de 8 à 15 ans, en évaluant spécifiquement l’association entre l’exposition totale aux écrans et la réussite scolaire dans ce groupe d’âge.Méthodes:Cette étude observationnelle transversale a été menée auprès de 400 élèves âgés de 8 à 15 ans, sélectionnés aléatoirement dans deux écoles publiques et deux écoles privées. Les données sur les performances académiques ont été obtenues auprès des enseignants et vérifiées à l’aide des dossiers scolaires, tandis que les informations sur l’exposition aux écrans ont été recueillies à l’aide d’un questionnaire structuré. L’analyse statistique a été réalisée à l’aide du logiciel SPSS, en utilisant le coefficient de corrélation de Spearman et le test de Kruskal–Wallis pour déterminer la relation entre l’exposition aux écrans et les performances académiques.Résultats:Le temps d’écran total moyen des participants était de 147,8 minutes par jour, la télévision représentant la plus grande part (67,5 minutes). Une association statistiquement significative a été observée entre le temps passé devant la télévision et les performances académiques ( P = 0,013).Conclusion:L’exposition aux écrans chez les enfants âgés de 8 à 15 ans dépasse les recommandations de l’American Academy of Pediatrics. Une augmentation du temps passé devant la télévision est significativement associée à de moins bonnes performances académiques, soulignant la nécessité de sensibiliser et de réguler l’utilisation des écrans chez les enfants.
Penile ring entrapment is a rare urological emergency requiring prompt management otherwise it gets complicated and results in penile amputation and death. We present the management of a case of an entrapped penile ring in a psychiatric patient with penile skin loss in a resource-limited setup treated by a multidisciplinary team. A 28-year-old male psychiatric patient presented after 72 hours of a penile ring insertion for a delusional belief of obeying his father's command with associated painful penile swelling, skin blistering, and acute urinary retention. The ring was cut using a manual ring cutter and K-wire, with full penile recovery on wound care followed by grafting in 6 months of follow-up. A penile ring typically results in the constriction of the penile tissue with subsequent vascular compromise and development of complications. The principles of management of penile ring entrapment involves treating the underlying reason for penile ring application, removal of the ring, and managing complications. The options of removing the ring include sliding, cutting, and penile surgical interventions. The choice which option to use depends on the size of the constricting object, incarceration time, injury level, available instruments, and experience of expertise. Eroticism, erectile dysfunctions, and underlying untreated psychiatric disorders are the most common reasons for penile ring insertion. Delayed ring removal due to embarrassment, psychiatric disorder, and multiple self-trials of ring removal at home can result in the development of complications. Prompt ring removal requires standard gadgets, a multidisciplinary approach, and local management protocols.
Adolescents have extensive use of screens and they have common complains related to mental health. Here a systematic review was done to understand the association between screen time and adolescent's mental health. Therefore, it is of interest to assess the effect of duration of screen time on psychosocial and behavioural aspects in adolescent children among 300 randomly selected children at the Department of Paediatrics, Index Medical College, Hospital and Research Centre, Indore. Data were collected from both inpatient and outpatient departments of the hospital using the strengths and difficulties questionnaire and their screen time. Most adolescents had personal gadgets (30.3%) or used those owned by close family members. A majority (78.3%) reported daily screen time between 1-5 hours, while 21.7% spent 6-10 hours daily on screen-based activities. Psychological outcomes highlighted alarming levels of distress, with 67.7% exhibiting depressive symptoms and 79.7% showing some form of anxiety. Behavioral issues such as irritability (34.3%), aggression (22.7%) and withdrawal (16.7%) were also prevalent. Thus, show that both the duration and content of screen use play a pivotal role in shaping mental health outcomes, making it imperative for caregivers, educators and policymakers to take a proactive role in moderating screen habits.
Ubiquitous devices such as smartphones, wearables, and personal gadgets generate large volumes of personalized health data outside of traditional health systems. Despite its abundance, differences in data formats and semantics across hardware, platforms and sectors keep information siloed. As a result, valuable precision health and social insights are lost when training or validating predictive health models. Interoperable data pipelines that operate across non-clinical settings are needed so this data can be responsibly translated into actionable information for personal and public health. This systematic review protocol aims to evaluate existing methodologies that address the interoperability challenges when integrating multimodal health data from ubiquitous devices into non-clinical health infrastructures. The systematic review seeks to identify primary barriers (technical, semantic, organizational, and regulatory), describe current solutions, and pinpoint gaps that hinder seamless exchange and use of such data. A comprehensive literature search will be conducted across multiple databases (PubMed, IEEE Xplore, ACM Digital Library, and Web of Science) for peer-reviewed primary studies from 2014 to 2024. Gray literature and conference proceedings are excluded. Eligible studies empirically evaluate a framework, architecture or tool that enables technical, semantic, organizational, and regulatory interoperability for person-generated health data outside clinical settings. Two reviewers will conduct title and abstract screening and full-text screening in Covidence using predefined criteria, with blinding of authors, journal, and year. Disagreements will be resolved by consensus or a third reviewer. Data will be extracted in Microsoft Excel, and methodological quality will be assessed with the Mixed Methods Appraisal Tool (2018). Interoperability methodology synthesis will be primarily narrative with evidence tables. Where comparable quantitative outcomes exist, we will compute effect sizes and consider robust statistically significant findings (p < 0.05). This systematic review protocol will sufficiently assemble a comprehensive and reproducible evidence base to conduct the review. The completed review will synthesize and critically appraise peer-reviewed approaches to interoperability for ubiquitous device-generated personal health data outside of traditional health systems; identify recurrent barriers and current solutions; and outline good practices to enable cross-sector data usage, thereby increasing the volume of interoperable data available for predictive modeling of personalized health outcomes.
Novel monophasic rare-earth yttrium ferrite (YFeO3) nanoparticles were prepared via a well-ordered hydrothermal method and systematically explored for their multi-functional purpose in energy storage and dye water treatment applications. By facilitating the hydrothermal process, the material undergoes precise control over crystalline growth, resulting in orthorhombic yttrium ferrite perovskite nanoparticles with high phase purity under various calcination temperatures of 500 °C, 700 °C, and 900 °C. FESEM results reveal the granular spherical shape with increased porosity for higher calcination temperatures. The VSM studies exhibit that the thermal incorporation enhances the magnetic properties of YFeO3, resulting in increased saturation magnetization (Ms) and coercivity. Electrochemical analysis was carried out using cyclic voltammetry (CV), galvanostatic charge-discharge (GCD), and electrochemical impedance spectroscopy (EIS), established an exceptional capacitive behaviour of about 1579 F/g at 5 mV/s, with a remarkable cyclic stability, retained about 99%, in supercapacitor applications, while achieving 81% photocatalytic degradation of Methylene Blue dye within 100 min under visible-light irradiation. These outcomes emphasize that orthorhombic yttrium ferrite nanoparticles are a promising multifunctional material for the upcoming generation of energy storage gadgets and photocatalytic water treatment technologies.
Dry eye disease (DED) is associated with use of video screen based gadgets and long hours spent looking through microscopes. Use of 3D goggles to view 3D screens leads to eye strain and worsening of dry eye symptoms. It is important to identify and treat the symptoms in professions carrying a high risk of DED. This study was undertaken to determine the prevalence and severity of dry eye symptoms in eye care professionals. A semi-structured questionnaire survey was circulated via social media to eye care professionals. The survey was open for 2 weeks. The Standard Patient Evaluation of Eye Dryness (SPEED) questionnaire was used to evaluate dry eye symptoms with a total score of 28. There was no dry eye if score was <5. Score of 5 or more indicated symptomatic dry eye and ≥8 was severe dry eye. The effect of COVID-19 pandemic on DED was also evaluated. Out of 214 responses, 167 (78%) were from ophthalmologists and 47 (22%) from optometrists. The majority did not have refractive surgery, contact lens usage, or systemic disorders. Symptomatic DED was seen in 150/214 respondents (70%) and 119/214 (55.6%) had severe DED. Ophthalmologists (p = 0.016) and video display screen usage for >4 hours (p = 0.025) had a significant independent association with DED. Age >40 years (p = 0.168), female gender (p = 0.077), face mask usage (p = 0.15), and increased surgical time (p = 0.13) did not have any significant independent association. The COVID-19 pandemic had a significant effect on dry eye prevalence (p = 0.0003) and severity (p < 0.0002). The dry eye symptoms interfered with work in 47.7% of ophthalmologists and 57.4% of optometrists. Dry eye symptoms are highly prevalent in eye care professionals. Increased usage of video display screens can aggravate DED. The dry eye symptoms can potentially interfere with their work.
Current day society pursues a lifestyle that is simpler, more efficient, reliable, faster, and progressively automated. Culinary Utility Device available in the market exhibit drawbacks including substantial investment costs, increased labor requirements, and excessive time consumption. Adding intelligence to the these devices may make once life happy. Embedded devices with limited resources are now poised to leverage machine learning techniques thanks to the convergence of Edge Computing and the Internet of Things (IoT). Traditional machine learning often demands significant computational resources for predictive tasks. TinyML, which focuses on Embedded Machine Learning, aims to transition a considerable portion of users from high-end devices to low-end gadgets. This paradigm strives to ensure the accuracy of learning models while enabling training and deployment on micro edge devices with resource constraints. It also seeks to optimize processing capabilities and enhance system resilience. This article provides an intuitive overview of Data-Driven State of Charge (SoC) estimation for Li-Ion Batteries. It begins by specification table followed by the hardware in context introducing the background of SoC estimation, followed by discussions on Hardware and signal , links to the design files and BOM in specific. The article delves into essential aspects related to Build and Operational instructions. In conclusion, the article addresses critical challenges and outlines a future road map.
Developing diagnostic biomarkers for Alzheimer's disease (AD) is at the cutting edge of interdisciplinary research and technical advancement. This comprehensive analysis investigates potential options for improving diagnostic accuracy and early detection of AD. Identifying biomarkers other than Aβ and tau proteins, such as synaptic dysfunction markers and metabolic indicators, is a novel technique. Integrating multi-omics data provides a comprehensive picture of AD pathophysiology, assisting in the discovery of biomarkers and treatment targets. Advances in technology, notably nanotechnology and biosensors, show promise for highly sensitive and specific platforms capable of identifying AD-related biomarkers in physiological fluids. AI and machine learning algorithms are critical in analyzing large datasets, improving pattern identification, and increasing diagnostic accuracy. Predictive models based on various biomarkers and clinical data open the way for personalized medicine methods in the treatment of AD. More advancements in PET and MRI tracers are required for targeted and sensitive imaging of specific AD-related clinical alterations. Wearing gadgets and seeing digital health signs have helped us to find diseases early and track them over time. They even allow monitoring from afar and all the time. This comprehensive review brings together new developments and teamwork across different fields. In this way, it guides to enhance how to identify AD. By mixing these new methods, we aim to change the diagnosis of AD early and accurately. This allows us to focus on treatments and push forward new cures for AD.