Search Results (505)

Background/Objectives: BRIGHTLIGHT was the national evaluation of adolescent and young adult (AYA) cancer services in England. BRIGHTLIGHT results were not available when the most recent healthcare policy (NHSE service specifications for AYA Cancer) for AYA was drafted and therefore did not consider BRIGHTLIGHT findings and recommendations. We describe the co-development and delivery of a Policy Lab to expedite the implementation of the new service specification in the context of BRIGHTLIGHT results, examining the roles of multi-stakeholders to ensure service delivery is optimised to benefit AYA patients. We address the key question, “What is the roadmap for empowering different stakeholders to shape how the AYA service specifications are implemented?”. Methods: A 1-day face-to-face policy lab was facilitated, utilising a unique, user-centric engagement approach by bringing diverse AYA stakeholders together to co-design strategies to translate BRIGHTLIGHT evidence into policy and impact. This was accompanied by an online workshop and prioritisation survey, individual interviews, and an AYA patient workshop. Workshop outputs were analysed thematically and survey data quantitatively. Results: Eighteen professionals and five AYAs attended the face-to-face Policy Lab, 16 surveys were completed, 13 attended the online workshop, three professionals were interviewed, and three AYAs attended the patient workshop. The Policy Lab generated eight national and six local recommendations, which were prioritised into three national priorities: 1. Launching the service specification supported by compelling communication; 2. Harnessing the ideas of young people; and 3. Evaluation of AYA patient outcomes/experiences and establishing a national dashboard of AYA cancer network performance. An animation was created by AYAs to inform local hospitals what matters to them most in the service specification. Conclusions: Policy and research evidence are not always aligned, so when emerging evidence does not support current guidance, further exploration is required. We have shown through multi-stakeholder involvement including young people that it was possible to gain a different interpretation based on current knowledge and context. This additional insight enabled practical recommendations to be identified to support the implementation of the service specification. Full article

Secure Digital Evidence Management Systems (DEMSs) ae crucial for law enforcement agencies, because traditional systems are prone to tampering and unauthorised access. Blockchain technology, particularly private blockchains, offers a solution by providing a centralised and tamper-proof system. This study proposes a private blockchain using Proof of Work (PoW) to securely manage digital evidence. Miners are assigned specific nonce ranges to accelerate the mining process, called collaborative mining, to enhance the scalability challenges in DEMSs. Transaction data includes digital evidence to generate a Non-Fungible Token (NFT). Miners use NFTs to solve the puzzle according to the assigned difficulty level d, so as to generate a hash using SHA-256 and add it to the ledger. Users can verify the integrity and authenticity of records by re-generating the hash and comparing it with the one stored in the ledger. Our results show that the data was verified with 100% precision. The mining time was $2.5$ s, and the nonce iterations were as high as $80\times {10}^3$ for $d=5$. This approach improves the scalability and integrity of digital evidence management by reducing the overall mining time. Full article

To obtain a flat top shaped passband in a conventional thin-film-based optical bandpass filter (OBF), it needs a large number of constitutional layers of thin films, which makes the film deposition systems more complicated and accumulates errors in film growth. A flat top and polarization-independent optical bandpass filter structure is proposed based on experimentally verified polarization independency in the form of a prism-pair coupled planar optical waveguide (POW). The POW is composed of two waveguide stacks, which consists of nine planar thin-film layers. Theoretical simulations show that the flat band top spans about 5 nm with transmittance over 97.8%. The passband is designed to be centered at 632.8 nm, the He-Ne laser wavelength, and the FWHM (full width at half maximum) bandwidth is about 35 nm. Within 0.5° tuning for the incident angle of the light, the passband could be shifted within 50 nm, while its transmittance fluctuates only less than 1% and the passband shape distorts only slightly. This type of OBF is potentially applicable in various fields of optical and laser spectroscopies. Full article

This paper presents an adaptive Maximum Power Point Tracking (MPPT) strategy for grid-connected photovoltaic (PV) systems that uses an Adaptive Neuro-Fuzzy Inference System (ANFIS) optimized by Particle Swarm Optimization (PSO) to enhance energy extraction efficiency under diverse environmental conditions. The proposed ANFIS-PSO-based MPPT controller performs dynamic adjustment Pulse Width Modulation (PWM) switching to minimize Total Harmonic Distortion (THD); this will ensure rapid convergence to the maximum power point (MPP). Unlike conventional Perturb and Observe (P&O) and Incremental Conductance (INC) methods, which struggle with tracking delays and local maxima in partial shading scenarios, the proposed approach efficiently identifies the Global Maximum Power Point (GMPP), improving energy harvesting capabilities. Simulation results in MATLAB/Simulink R2023a demonstrate that under stable irradiance conditions (1000 W/m², 25 °C), the controller was able to achieve an MPPT efficiency of 99.2%, with THD reduced to 2.1%, ensuring grid compliance with IEEE 519 standards. In dynamic irradiance conditions, where sunlight varies linearly between 200 W/m² and 1000 W/m², the controller maintains an MPPT efficiency of 98.7%, with a response time of less than 200 ms, outperforming traditional MPPT algorithms. In the partial shading case, the proposed method effectively avoids local power maxima and successfully tracks the Global Maximum Power Point (GMPP), resulting in a power output of 138 W. In contrast, conventional techniques such as P&O and INC typically fail to escape local maxima under similar conditions, leading to significantly lower power output, often falling well below the true GMPP. This performance disparity underscores the superior tracking capability of the proposed ANFIS-PSO approach in complex irradiance scenarios, where traditional algorithms exhibit substantial energy loss due to their limited global search behavior. The novelty of this work lies in the integration of ANFIS with PSO optimization, enabling an intelligent self-adaptive MPPT strategy that enhances both tracking speed and accuracy while maintaining low computational complexity. This hybrid approach ensures real-time adaptation to environmental fluctuations, making it an optimal solution for grid-connected PV systems requiring high power quality and stability. The proposed controller significantly improves energy harvesting efficiency, minimizes grid disturbances, and enhances overall system robustness, demonstrating its potential for next-generation smart PV systems. Full article

The European Green Deal, including the Farm to Fork and Biodiversity strategies, assumes an increase in the area under organic farming to 25% by 2030. In order to achieve this goal, it is important to understand the factors that lead to the development of organic farming. Data from Lithuanian and Polish Farm Accountancy Data Network datasets and logistic regression was used to evaluate factors influencing the adoption of organic farming in two neighboring countries—Lithuania and Poland—that have quite different agricultural sectors. The study period was 2009–2019. The results indicated that multiple factors affected the probability of adopting organic farming in both Lithuania and Poland. However, the results were somewhat different at the beginning and at the end of the research period. The findings also demonstrated an important role of subsidies in the adoption of organic farming. These findings are particularly important for policy makers to design effective policies and programs aimed at supporting the development of organic farming in both Lithuania and Poland. Full article

This study investigates the potential of low-cost, naturally available porous materials (PoMs), gravel, marble, flint, and sandstone, as thermal management for photovoltaic (PV) panels. Experiments were conducted in a controlled environment at a solar energy laboratory, where variables such as solar irradiance, ambient temperature, air velocity, and water flow were carefully regulated. A solar simulator delivering a constant irradiance of 1250 W/m² was used to replicate solar conditions throughout each 3 h trial. The test setup involved polycrystalline PV panels (30 W rated) fitted with cooling channels filled with PoMs of varying porosities (0.35–0.48), evaluated across water flow rates ranging from 1 to 4 L/min. Experimental results showed that PoM cooling significantly outperformed both water-only and passive cooling. Among all the materials tested, sandstone with a porosity of 0.35 and a flow rate of 2.0 L/min demonstrated the highest cooling performance, reducing the panel surface temperature by 58.08% (from 87.7 °C to 36.77 °C), enhancing electrical efficiency by 57.87% (from 4.13% to 6.52%), and increasing power output by 57.81% (from 12.42 W to 19.6 W) compared to the uncooled panel. The enhanced heat transfer (HT) was attributed to improved conductive and convective interactions facilitated by lower porosity and optimal fluid velocity. Furthermore, the cooling system improved I–V characteristics by stabilizing short-circuit current and enhancing open-circuit voltage. Comparative analysis revealed material-dependent efficacy—sandstone > flint > marble > gravel—attributed to thermal conductivity gradients (sandstone: 5 W/m·K vs. gravel: 1.19 W/m·K). The configuration with 0.35 porosity and a 2.0 L/min flow rate proved to be the most effective, offering an optimal balance between thermal performance and resource usage, with an 8–10% efficiency gain over standard water cooling. This study highlights 2.0 L/min as the ideal flow rate, as higher rates lead to increased water usage without significant cooling improvements. Additionally, lower porosity (0.35) enhances convective heat transfer, contributing to improved thermal performance while maintaining energy efficiency. Full article

The educational system manages extensive documentation and paperwork, which can lead to human errors and sometimes abuse or fraud, such as the falsification of diplomas, certificates or other credentials. In fact, in recent years, multiple cases of fraud have been detected, representing a significant cost to society, since fraud harms the trustworthiness of certificates and academic institutions. To tackle such an issue, this article proposes a solution aimed at recording and verifying academic records through a decentralized application that is supported by a smart contract deployed in the Ethereum blockchain and by a decentralized storage system based on Inter-Planetary File System (IPFS). The proposed solution is evaluated in terms of performance and energy efficiency, comparing the results obtained with a traditional Proof-of-Work (PoW) consensus protocol and the new Proof-of-Authority (PoA) protocol. The results shown in this paper indicate that the latter is clearly greener and demands less CPU load. Moreover, this article compares the performance of a traditional computer and two Single-Board Computers (SBCs) (a Raspberry Pi 4 and an Orange Pi One), showing that is possible to make use of the latter low-power devices to implement blockchain nodes but at the cost of higher response latency. Furthermore, the impact of Ethereum gas limit is evaluated, demonstrating its significant influence on the blockchain network performance. Thus, this article provides guidelines, useful practical evaluations and key findings that will help the next generation of green blockchain developers and researchers. Full article

Background: Tetanus is a vaccine-preventable disease, and therefore vaccination of women of reproductive age or during pregnancy is recommended alongside childhood tetanus vaccination. Gender-related factors related to social empowerment have been established as determinants of health service utilization; however, these social determinants have not yet been explored directly with tetanus vaccination. In response, the aim of this study was to assess overall and country-specific gender-related barriers to maternal tetanus vaccine coverage. Methods: We used data from Demographic and Health Surveys (DHS) in 39 countries implemented between 2013 and 2022. Women’s empowerment was measured through three domains of the Survey-based Women’s emPowERment index (SWPER), as well as other gender-related variables. To assess the association between measures of women’s empowerment and gender-related factors and maternal tetanus immunization coverage, we used multilevel logistic models with pooled data from the 39 countries to analyze overall patterns, and we used multivariable logistic regression for each country-specific dataset to analyze country-level associations. Results: There were notable variations in the factors associated with tetanus vaccination across countries. Overall, we observed that higher levels of women’s empowerment, as measured through social independence and decision-making autonomy using the SWPER index, were associated with higher odds of maternal tetanus protection, with adjusted odds ratios of 1.23 (95%CI: 1.10–1.37) and 1.20 (95%CI: 1.02–1.40), respectively. However, women’s empowerment related to attitude to violence was not. Higher household wealth was also associated with higher odds of maternal tetanus protection overall. Conclusions: Women’s empowerment can improve the uptake of maternal tetanus vaccine. Addressing gender-related barriers may enhance vaccination coverage and contribute to the elimination of maternal and neonatal tetanus as a public health problem. However, these barriers vary from country to country, necessitating country-specific investigations to formulate tailored recommendations. Full article

Background: To achieve victory, kayaking and rowing athletes must develop optimal aerobic conditioning and the capacity to sustain anaerobic work production. To assess these characteristics, power output (PO), lactatemia response, and maximum oxygen uptake (VO₂max) are usually measured. The goal of this research is to report the values of PO, lactatemia, and VO₂max—expressed in relative, absolute, and body size-scaled values—in successful international-level athletes to provide reference values for those striving to compete at the highest level. Methods: A total of 15 international-level medallist boat sports athletes were recruited: 8 male kayakers (age 21 ± 3 years, height 181.7 ± 5.3 cm, body mass 78.7 ± 5.6 kg), 2 female kayakers (age 22 ± 2 years, height 168.0 ± 2.8 cm, body mass 64.9 ± 2.7 kg), and 5 male rowers (age 20 ± 1 years, height 181.9 ± 4.7 cm, body mass 83.9 ± 7.3 kg). The athletes’ PO, lactatemia, and VO₂max were assessed using an off-water, sport-specific cardiopulmonary test on a paddle and rowing ergometer. Results: Respectively, in male and female kayakers and male rowers, maximum lactatemia was 11.9 ± 2.2 mmol/L, 9.3 ± 3.6 mmol/L, and 13.2 ± 3.7 mmol/L; maximum PO was 225.0 ± 13.4 W, 162.5 ± 31.8 W and 432.0 ± 33.5 W; and VO₂max was 57.6 ± 5.4 mL/min/kg, 52.2 ± 1.0 mL/min/kg, and 63.7 ± 11.7 mL/min/kg. VO₂max scaled by body size was, respectively, 311 ± 39 mL/kg^0.67/min, 319 ± 15 mL/kg^0.67/min, and 330 ± 72 mL/kg^0.67/min. Conclusions: This study is the first to report the values of PO, lactatemia, and VO₂max—expressed in relative, absolute, and body size-scaled values—assessed during a sport-specific cardiopulmonary test in international-level boat sports athletes. These values could be a preliminary reference guideline for optimal cardiorespiratory conditioning in athletes aiming at international-level competitions. Full article

This study focuses on the synthesis and characterization of a cationic ion-exchange sorbent derived from vermiculite and epoxy acrylate copolymers, designed to address freshwater scarcity by removing toxic metal ions from aqueous environments. The sorbent was engineered to preserve the chemical integrity of freshwater while adhering to environmental safety standards. Vermiculite served as the base material, modified with glycidyl methacrylate (GMA), acrylonitrile (ACN), and orthophosphoric acid (H₃PO₄) in a mass ratio of 1:0.35:0.15:3. Optimization experiments explored varying H₃PO₄ proportions (two- and threefold increases) to refine the synthesis conditions. The materials underwent microwave irradiation at 300 W for 10 min. Infrared (IR) spectroscopy confirmed the presence of functional groups (P=O, P−O−C), enhancing sorption capacity, while scanning electron microscopy (SEM) revealed a porous structure crucial for adsorption. Sorption properties, assessed via atomic emission spectroscopy, demonstrated capacities of 39.80 mg/g for MoO₄²⁻ and 39.06 mg/g for ReO₄⁻, with extraction efficiencies of 79% and 78%, respectively. Chemical stability tests indicated the sorbent retained up to 90% of its functionality in aggressive environments, highlighting its robustness. The developed sorbent offers a high-performance, cost-effective solution for heavy metal removal from wastewater, advancing sustainable water purification technologies. Full article

The volatility and uncertainty of wind power output pose significant challenges to the safe and stable operation of power systems. To enhance the economic efficiency and reliability of day-ahead scheduling in wind farms, this paper proposes a day-ahead planning and scheduling method for wind/storage systems based on multi-scenario generation and Conditional Value-at-Risk (CVaR). First, based on the statistical characteristics of historical wind power forecasting errors, a kernel density estimation method is used to fit the error distribution. A Copula-based correlation model is then constructed to generate multi-scenario wind power output sequences that account for spatial correlation, from which representative scenarios are selected via K-means clustering. An objective function is subsequently formulated, incorporating electricity sales revenue, energy storage operation and maintenance cost, initial state-of-charge (SOC) cost, peak–valley arbitrage income, and penalties for schedule deviations. The initial SOC of the storage system is introduced as a decision variable to enable flexible and efficient coordinated scheduling of the wind/storage system. The storage system is implemented using a 1500 kWh/700 kW lithium iron phosphate (LiFePO₄) battery to enhance operational flexibility and reliability. To mitigate severe profit fluctuations under extreme scenarios, the model incorporates a CVaR-based risk constraint, thereby enhancing the reliability of the day-ahead plan. Finally, simulation experiments under various initial SOC levels and confidence levels are conducted to validate the effectiveness of the proposed method in improving economic performance and risk management capability. Full article

Potassium phosphate (K₃PO₄) is a common inorganic compound with broad applications in agriculture and industry. Although the traditional thermal method of preparing K₃PO₄ by reacting phosphoric acid with potassium hydroxide can obtain high-quality products, it consumes a lot of energy and has high costs. This study explores the process of preparing K₃PO₄ by Electrodialysis metathesis (EDM). This process uses sodium phosphate (Na₃PO₄) and potassium chloride (KCl) as raw materials and can prepare K₃PO₄ continuously. Under the optimized conditions (operating voltage of 8 V, 0.35 mol/L Na₃PO₄ and 1.05 mol/L KCl in raw flow with the rate of 30 mL/min), the product purity of K₃PO₄ reaches more than 97%, the energy consumption is 1191 kW·h/t, and the cost is about 8314 CNY/ton. Compared with traditional methods, EDM has the advantages of low cost, simple operation, and high utilization rate. This study shows that EDM technology has significant potential in preparing K₃PO₄. Full article

Soy whey, a by-product of soy processing, has shown promise as a substrate for mycoprotein production using Aspergillus oryzae. However, the low biomass concentration obtained necessitates optimization of cultivation conditions to enhance total protein production. In this study, we optimized substrate concentration (50%, 75%, and 100%), initial pH (unadjusted, 4, 5, and 6), and supplementation with 8 g/L ammonium sulfate, minerals (0.75 g/L MgSO₄·7H₂O, 1 g/L CaCl₂·H₂O and 3.5 g/L KH₂PO₄), or their combination to maximize biomass production. The results showed that adjusting the initial pH to 5 and adding ammonium sulfate and minerals increased biomass concentration by 169% from 1.82 g/L to 4.9 g/L in 100% soy whey. This optimized condition also slightly improved the protein content of the biomass from 53% w/w to 55.93% w/w. Additionally, cultivating A. oryzae under these optimized conditions significantly reduced soy whey’s chemical oxygen demand from 8100 mg/L to 3267 mg/L, highlighting bioremediation potential. These findings suggest that the optimized conditions enhance the productivity of mycoprotein and also contribute to the sustainable management of soy whey waste, providing a combined benefit of nutrient recovery and wastewater treatment. Full article

Energy conservation has become a critical issue, especially in the context of global environmental challenges and rising energy costs. This article emphasizes the growing importance of sustainability by integrating technical evaluations of heat recovery ventilation (HRV) systems and energy demand reduction with an economic analysis of new detached buildings in Poland. We studied the economic efficiency of the application of HRV in the context of different insulation thicknesses and quantities of air exchanged. Through over 2500 building energy performance simulations, the study explores the economic and environmental interplay between investments in HRV and insulation technologies. The findings demonstrated that households can achieve significant energy savings, around 2600 kWh annually, by installing an HRV system. These savings are contingent upon various factors, including air exchange rates, insulation thickness, and the thermal properties of windows. The economic analysis revealed that economic benefits due to optimal insulation are in the range of EUR 1000–8600 and from EUR 500 up to 5900 regarding investment in HRV, depending on the energy price and intensity of ventilation. Full article

This research presents a novel framework and experimental results that combine zero-knowledge proofs (ZKPs) with private blockchain technology to safeguard whistleblower privacy while ensuring secure digital evidence submission and verification. For example, whistleblowers involved in corporate fraud cases can submit sensitive financial records anonymously while maintaining the credibility of the evidence. The proposed framework introduces several key innovations, including a private blockchain implementation utilising proof-of-work (PoW) consensus to ensure immutable storage and thorough scrutiny of submitted evidence, with mining difficulty dynamically aligned to the sensitivity of the data. It also features an adaptive difficulty mechanism that automatically adjusts computational requirements based on the sensitivity of the evidence, providing tailored protection levels. In addition, a unique two-phase validation process is incorporated, which generates a digital signature from the evidence alongside random challenges, significantly improving security and authenticity. The integration of ZKPs enables iterative hash-based verification between parties (Prover and Verifier) while maintaining the complete privacy of the source data. This research investigates the whistleblower’s niche in traditional digital evidence management systems (DEMSs), prioritising privacy without compromising evidence integrity. Experimental results demonstrate the framework’s effectiveness in preserving anonymity while assuring the authenticity of the evidence, making it useful for judicial systems and organisations handling sensitive disclosures. This paper signifies notable progress in secure whistleblowing systems, offering a way to juggle transparency with informant confidentiality. Full article