1,721,262 research outputs found
An evaluation of wind energy potential at Kati Bandar, Pakistan
No full textAs a developing nation of energy-starved people, Pakistan urgently needs new sources of affordable, clean energy. Wind energy is potentially attractive because of its low environmental impact and sustainability. This work aims to investigate the wind power production potential of sites in southeastern
Pakistan. Wind speed data measured over a one-year period at a typical site on the south-east coast of Pakistan are presented. Frequency distributions of wind speed and wind power densities at three heights, seasonal variations of speed, and estimates of power likely to be produced by commercial turbines are included. The site investigated is found to be a class 4 wind power site with annual average wind speed of 7.16 m/s and power density of 414 W/m2 at 50 mheight. The site is, therefore, likely to be suitable for wind farms as well as small, stand-alone system
Design of a flexible force-sensing antenna for biomedical monitoring
No full textWe present a proximity-coupled meandered patch antenna implemented in a multilayer substrate for biomedical monitoring applications. The antenna's resonant frequency shifts to lower bands at a rate of 40.77 MHz/N when force is applied perpendicular to the radiating patch. Remote interrogation at a distance of 17 cm in an anechoic chamber demonstrated that the high-gain horn antenna detects this frequency shift when masses are applied to the radiating patch. These findings suggest that the proposed antenna sensor is suitable for force sensing in wearable healthcare
A wearable all-printed textile-based 6.78 MHz 15 W-output wireless power transfer system and its screen-printed Joule heater application
Full text linkWhile research in passive flexible circuits for Wireless Power Transfer (WPT) such as coils and resonators continues to advance, limitations in their power handling and low efficiency have hindered the realization of efficient all-printed high-power wearable WPT receivers. Here, we propose a screen-printed textile-based 6.78 MHz resonant inductive WPT system using planar inductors with concealed metal-insulator-metal (MIM) tuning capacitors. A printed voltage doubler rectifier based on Silicon Carbide (SiC) diodes is designed and integrated with the coils, showing a power conversion efficiency of 80-90% for 2-40 W inputs over a wide load range. Compared to prior wearable WPT receivers, it offers an order of magnitude improvement in power handling along with higher efficiency (approaching 60%), while using all-printed passives and a compact rectifier. The coils exhibit a simulated Specific Absorption Rate (SAR) under 0.4 W/kg for 25 W received power, and under 21∘C increase in the coils' temperature for a 15 W DC output. Additional fabric shielding is investigated, reducing harmonics emissions by up to 17 dB. We finally demonstrate a wirelessly-powered textile-based carbon-silver Joule heater, capable of reaching up to 60∘C at 2 cm separation from the transmitter, as a wearable application which can only be wireless-powered using the proposed system
Biocultural Diversity at Risk Amidst and Beyond Overtourism: The Decline in Wild Green Foraging in Corfu over the Past 50 Years
No full textThis study focuses on the interplay between ecological, demographic, and developmental factors while examining the changes in wild greens (WGs) uses in Corfu from 1970 to 2024. A comparative analysis of historical and contemporary datasets reveals a decline in WG species from 58 (belonging to 47 genera and 18 families) in 1971 to 42 species (37 genera, 16 families) in 2024. The reduction in cropland and, therefore, the herbaceous vegetation has significantly contributed to this loss, alongside urbanisation, demographic shifts, and the rise of tourism-driven economies. Changes in climatic factors, like a 1.5 °C increase in temperature and reduced rainfall, further affect plant biodiversity. Shifts in the occupations of local populations (from farming to touristic services), the declining role of women-centred foraging, and the pervasive influence of formal botanical education may have altered the cultural landscape of WG use. This study underlines the urgent need to integrate traditional ecological knowledge into conservation strategies to mitigate biodiversity loss and sustain cultural heritage
Commentary: Increased Risk of Cardiovascular Disease in Restless Legs Syndrome Patients: A Call to Action
No full textA Hidden Bio-Cultural Erosion? Mountain Marginalization and the Resilience of Traditional Environmental Knowledge Among Pomaks in the Greek-Bulgarian Rhodopes
No full textFactors affecting injury severity in motorcycle crashes: Different age groups analysis using Catboost and SHAP techniques
No full textObjective: Motorcycle crashes often result in severe injuries on roads that affect people's lives physically, financially, and psychologically. These injuries could be notably harmful to drivers of all age groups. The main objective of this study is to investigate the risk factors contributing to the severity of crash injuries in different age groups. Methods: This Objective is achieved by developing accurate machine learning (ML) based prediction models. This research examines the relationship between potential risk factors of motorcycle-associated crashes using (ML) and Shapley Additive explanations (SHAP) technique. The SHAP technique further helped interpreting ML methods for traffic injury severity prediction. It indicates the significant non-linear interactions between dependent and independent variables. The data for this study was collected from the Provincial Emergency Response Service RESCUE 1122 for the Rawalpindi region (Pakistan) over three years (from 2017 to 2020). The Synthetic Minority Oversampling Technique (SMOTE) is employed to balance injury severity classes in the pre-processing phase. Results: The results demonstrate that age, gender, posted speed limit, the number of lanes, and month of the year are positively associated with severe and fatal injuries. This research also assesses how the modeling framework varies between the ML and classical statistical methods. The predictive performance of proposed ML models was assessed using several evaluation metrics, and it is found that Catboost outperformed the XGBoost, Random Forest (RF) and Multinomial Logit (MNL) model. Conclusion: The findings of this study will assist road users, road safety authorities, stakeholders, policymakers, and decision-makers in obtaining substantial and essential guidance for reducing the severity of crash injuries in Pakistan and other countries with prevailing conditions
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Training and education in digital psychiatry: A perspective from Asia‐Pacific region
Full text linkBACKGROUND: Digital mental health interventions and digital psychiatry have been rapidly implemented over the past decade, particularly with the intent to offer a cost‐effective solution in those circumstances in which the current mental health services and infrastructure are not able to properly accommodate the patients' needs. However, mental health workforce is often poorly theoretical/practical trained in digital psychiatry and in delivering remote consultations safely and effectively, not being common to own curricula‐specific training requirements in digital psychiatry and skills. METHODS: A web‐based international cross‐sectional survey was carried out by a working group constituted by one or two national representative(s) of each WHO South‐East Asia and Western Pacific Regions (APAC), with the aim to evaluate the level of training, knowledge, experience, and perception regarding the topic of digital psychiatry in a sample constituted by medical students, psychiatry trainees, and early career psychiatrists from APAC. RESULTS: An overall lack of theoretical and/or practical training on new digital tools and digital health interventions in psychiatry was observed. The level of training influences knowledge background, which, in turns, influences young professionals' perceptions and opinions regarding digital psychiatry and interventions in mental health. CONCLUSION: Implementing psychiatry training programs may significantly improve the level of knowledge and use of digital tools in mental healthcare. Moreover, mental health services and infrastructures should be properly adapted to the digital era, considering the overall weak and heterogeneous technical support and equipment, issues of internet connectivity, and other administrative‐related challenges observed in APAC
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