Advanced Management Research Articles

A Review on Advanced Battery Thermal Management Systems for Fast Charging in Electric Vehicles

To protect the environment and reduce dependence on fossil fuels, the world is shifting towards electric vehicles (EVs) as a sustainable solution. The development of fast charging technologies for EVs to reduce charging time and increase operating range is essential to replace traditional internal combustion engine (ICE) vehicles. Lithium-ion batteries (LIBs) are efficient energy storage systems in EVs. However, the efficiency of LIBs depends significantly on their working temperature range. However, the huge amount of heat generated during fast charging increases battery temperature uncontrollably and may lead to thermal runaway, which poses serious hazards during the operation of EVs. In addition, fast charging with high current accelerates battery aging and seriously reduces battery capacity. Therefore, an effective and advanced battery thermal management system (BTMS) is essential to ensure the performance, lifetime, and safety of LIBs, particularly under extreme charging conditions. In this perspective, the current review presents the state-of-the-art thermal management strategies for LIBs during fast charging. The serious thermal problems owing to heat generated during fast charging and its impacts on LIBs are discussed. The core part of this review presents advanced cooling strategies such as indirect liquid cooling, immersion cooling, and hybrid cooling for the thermal management of batteries during fast charging based on recently published research studies in the period of 2019–2024 (5 years). Finally, the key findings and potential directions for next-generation BTMSs toward fast charging are proposed. This review offers an in-depth analysis by providing recommendations and potential solutions to develop reliable and efficient BTMSs for LIBs during fast charging.

Potassium sulphate production from an aqueous sodium sulphate from lead‐acid battery recycling: Impact of feedstock impurities on products yields

AbstractThe increasing demand for renewable energy highlights the need for efficient energy storage solutions. Despite various available technologies, lead‐acid batteries remain preferred for many industrial applications due to their inherent advantages. However, their expanded use necessitates proper waste management and recycling practices. During lead‐acid battery recycling, Na₂SO₄ is generated as a waste product, which cannot be directly sold due to quality concerns and limited market demand. Consequently, advanced waste management techniques are required to comply with government regulations on industrial waste disposal. Despite these challenges, Na2SO4 serves as a vital precursor for producing K2SO4, a valuable fertilizer. Prior research on the glaserite process for converting Na2SO4 to K2SO4 has assumed Na2SO4 to be pure—without traces of impurities. However, Na2SO4 recovered from battery recycling contains various contaminants. To address this, HSC Chemistry software was used to model K2SO4 and NaCl production from impure Na2SO4 and KCl, considering feed impurities. Under ideal conditions—a 1 bar pressure, 25°C feed temperature, and 40°C reactor temperature—over 90% yield of K2SO4 and NaCl was achieved in the absence of impurities. However, the addition of impurities resulted in a reduction in yields. Notably, impurity levels ranging from 1% to 4% by weight still allowed for yields exceeding 90%. Furthermore, a review of reactor compositions revealed a significant depletion of potassium and chlorine ions which are crucial for K2SO4 and NaCl production as impurity levels varied from 0% to 10%. These findings emphasize the negative impact of impurities on K2SO4 and NaCl yields.

The impact of employee voice on creative performance: An analytical research in the number of industrial companies

Today, business organizations , seek to build creative capabilities by adopting advanced management concepts and methods such as employee voice to enable them facing potential challenges. This research investigates the impact of employee's voice on creative performance in a number of industrial companies in Baghdad City. The research's problem is started by the issues with weakness in corporate consciousness and the knowledge of employee voice that restrict firms from developing and innovating, and ignoring those voices except concerning the interest of companies. The main question of the research's problem is (What is the level of impact for employee voice on creative performance?). For the importance of the industrial sector in Iraq, the three companies which are Baghdad Soft Drinks Company, Electronic Industries Company, and the Iraqi Company for Carton Industry have been selected as a research domain. The research sample consists of 168 employees who work at these companies. Regarding to the statistical aspect, this research used the confirmative analysis coefficient, Cronbach's alpha coefficient, the weighted arithmetic, the standard deviation, the mean, the coefficient of relative difference, and relative weight (relative importance). The questionnaire was used as a main instrument for collecting data. Hypotheses were tested through statistical programs (AMOS.V.25, SPSS.V). One of the most important findings is the significant positive impact of employee voice on creative performance. Research type: Research paper

IoT-based framework for optimizing energy efficiency and reliability in acoustic sensor networks using mobile sinks

In today’s world, there is an increasing demand for environmental monitoring, surveillance, and oceanographic research, which poses challenges in improving energy efficiency and data transfer reliability in Acoustic Sensor Networks. Existing methods face hurdles due to limited energy resources and unreliable data transmission. We propose a Reliable and Energy-Efficient Framework with Sink Mobility (REEFSM) to address these issues. This framework optimizes energy consumption and enhances data reliability by incorporating advanced energy management strategies such as adaptive duty cycling and efficient data transmission mechanisms by minimizing forwarding nodes. Simulation results demonstrate that REEFSM reduces energy consumption by up to 43% and increases data reliability by 35% compared to protocols like EERBCR and DEADS. REEFSM ensures zero dead nodes, minimizes packet drops, and maintains high data accuracy throughout the simulation. This research outcome provides a sustainable and reliable solution for energy-efficient data collection in underwater environments. The future research directions, including integrating autonomous path planning, energy harvesting, and machine learning techniques, hold great potential for further advancements in the field.

Energy-efficient FDM printing of sustainable polymers: Optimization strategies for material and process performance

The integration of sustainable polymers in fused deposition modeling (FDM) 3D printing offers a promising pathway toward reducing the environmental impact of additive manufacturing. However, the energy-intensive nature of FDM processes presents a significant challenge to the overall sustainability of this technology. In this study, we explore the use of bio-based and recycled polymers in FDM printing and develop optimization strategies to reduce energy consumption without compromising material and print performance. Our results demonstrate that by systematically optimizing key printing parameters such as extrusion temperature, print speed, and layer height it is possible to achieve up to 20% energy savings. Additionally, we find that novel material formulations and advanced thermal management techniques enhance the mechanical properties of printed objects by up to 15%, all while minimizing energy use. This research not only advances the field of sustainable 3D printing but also provides a framework for the development of next-generation materials and processes that align with the principles of a circular economy.

Free convective flow of Ostwald-de Waele fluid in a Π-shaped cavity with heated strip and lateral wall cooling

This paper studies the free convection of Ostwald-de Waele fluid in a Π-shaped chamber with a Π-shaped heated strip at the lower mid-section. The upper wall and the remaining sections of the lower wall are thermally insulated, while the lateral walls are maintained at a low temperature. The primary objective is to identify the optimal power-law index (n) and the geometric configurations of the strip that yield enhanced heat transfer. Furthermore, the impact of Rayleigh number (Ra) on the thermal performance of the cavity in that optimum condition is to be investigated. The Galerkin finite element approach has been employed to resolve the governing equations and auxiliary conditions. Within the study, the power-law index of the Ostwald-de Waele fluid has been systematically varied (0.6 ≤ n ≤ 1.4). At the same time, the variations in the non-dimensional height (0.1 ≤ ζ ≤ 0.5) and width (0.1 ≤ ε ≤ 0.3) of the heated strip have been explored. The results show improved thermal performance with a growth in Rayleigh number, particularly when n < 1. The average Nussetl number for n = 0.6 at Ra = 106 is approximately 14 % higher than for n = 1.4. The findings further indicate an increment of 35 % in the heat transfer rate when the height of the strip decreases from 0.5 to 0.1. This investigation provides valuable insights into the natural convection phenomena of Ostwald-de Waele fluid in complex geometries, paving the way for advanced thermal management techniques in various engineering applications.

GoToCloud optimization of cloud computing environment for accelerating cryo-EM structure-based drug design

Cryogenic electron microscopy (Cryo-EM) is a widely used technique for visualizing the 3D structures of many drug design targets, including membrane proteins, at atomic resolution. However, the necessary throughput for structure-based drug design (SBDD) is not yet achieved. Currently, data analysis is a major bottleneck due to the rapid advancements in detector technology and image acquisition methods. Here we show “GoToCloud”, a cloud-computing-based platform for advanced data analysis and data management in Cryo-EM. With GoToCloud, it is possible to optimize computing resources and reduce costs by selecting the most appropriate parallel processing settings for each processing step. Our benchmark tests on GoToCloud demonstrate that parallel computing settings, including the choice of computational hardware, as well as a required target resolution have significant impacts on the processing time and cost performance. Through this optimization of a cloud computing environment, GoToCloud emerges as a promising platform for the acceleration of Cryo-EM SBDD.

Advanced energy management scheme for fuel cell-based microgrid using self–regulated controller and switched capacitor inverter

Clean energy production is now the main challenge for sustainable future which can be addressed by introducing renewable energy sources. Fuel cells are critical in providing sustainable energy solutions by enabling efficient energy conversion in microgrids. To enhance the performance of fuel cell-based microgrids, advanced controllers and inverters are necessary to manage power quality and stability. One of the key benefits of this fuel cell is the separation of energy conversion and management, which allows independent optimization for each function of microgrid's performance, cost, or other installation considerations. The ability to individually control of each component of a microgrid can significantly impact various applications positively. Beyond their technological and economic advantages, fuel cells are highly sensitivity to microgrid's characteristics such as current quality and harmonics which creates difficulties for their design and management. Therefore, the entire microgrid must be managed by an effective energy management strategy and integration of advanced inverter topologies. This study aims to improve fuel cell efficiency and power quality within the microgrid through an advanced energy management (AEM) strategy. The proposed AEM structure is developed focusing on two key components: a self-regulated controller (SRC) and a switched capacitor multilevel inverter (SCMLI). These elements work together to mitigate the disturbances and enhance the power quality of the system. The methodology includes simulation and hardware-in-the-loop (HIL) testing under non-linear load conditions. Initial grid-side current total harmonic distortion (THD) of 28.38% was reduced to 2.19% through the proposed system. An impact analysis is also presented to demonstrates that reducing current harmonics and voltage imbalance have improved the efficiency of fuel cell to 50.18% and fuel utilization to 98.05%. The findings show that the proposed scheme significantly reduces current harmonics and improves the overall performance benchmark of the microgrid and fuel cell.

Challenges, Opportunities and Countermeasures of Education and Teaching Management in the Digital Age

In the digital age, education and teaching management is facing many challenges and opportunities. The challenges mainly include difficulties for teachers and students to adapt, information security issues and the digital divide. In addition, the rise of online learning platforms has also brought about the quality of education and the difficulty of management. However, digitization also provides rich opportunities, such as personalized learning, sharing and optimization of educational resources, innovation of teaching methods, etc. Addressing these challenges requires enhanced teacher training, improved information infrastructure, data security, and relevant policies to bridge the digital divide. By actively adopting advanced technology and scientific management strategies, the quality of education can be effectively improved and the fairness and efficiency of education can be realized.

Coordination of smart inverter-enabled distributed energy resources for optimal PV-BESS integration and voltage stability in modern power distribution networks: A systematic review and bibliometric analysis

Integrating photovoltaic (PV) and battery energy storage systems (BESS) in modern power distribution networks presents opportunities and challenges, particularly in maintaining voltage stability and optimizing energy resources. This systematic review and bibliometric analysis investigates the coordination of smart inverter-enabled distributed energy resources (DERs) for enhancing PV-BESS integration and ensuring voltage stability. The study synthesizes recent advancements in smart inverter technologies, which provide grid support functions such as Volt/VAr control, and their applications in DER coordination. A comprehensive review of the literature is conducted to identify prevailing trends, research gaps, and emerging techniques in the field. Bibliometric analysis is employed to quantify the research landscape, highlighting key publications, citations, publications per country, and collaborative networks. The findings reveal that smart inverters play a crucial role in mitigating voltage violations and improving the hosting capacity of PV systems in distribution networks. Furthermore, optimal inverter settings, strategic placement of PV-BESS, and advanced control algorithms are identified as critical factors for effective DER integration. The study concludes by proposing future research directions, including the exploration of smart inverter interactions with legacy grid management systems and the development of robust algorithms for dynamic and adaptive DER coordination. This review serves as a valuable resource for researchers and practitioners aiming to enhance the stability and efficiency of power distribution networks through advanced DER management strategies.

Green logistics: Transforming supply chains for a sustainable future

In the face of escalating climate change and the increasing significance of sustainability, companies are shifting towards green logistics solutions. This article explores the various sustainable practices within logistics, the implementation of green logistics solutions, and the strategies for reducing carbon footprints. The logistics sector, a significant contributor to global greenhouse gas emissions, is under increasing pressure to adopt environmentally friendly practices. By examining case studies and industry data, we provide a comprehensive analysis of the current trends and future directions in sustainable logistics. Our study highlights the importance of integrating eco-friendly transportation, energy-efficient warehousing, sustainable packaging, and advanced inventory management systems. Additionally, we discuss the challenges companies face in adopting green logistics, such as high initial costs, technological limitations, and regulatory compliance. Through this analysis, we aim to shed light on the transformative potential of green logistics in mitigating climate change and promoting long-term sustainability in the supply chain industry.

Experimental evaluation and optimization of the heat pipes integrated thermoelectric generator using response surface methodology

In this study, integration of heat pipes with thermoelectric generators is proposed for the recovery of waste heat. Heat energy is transferred from a heat source to thermoelectric elements via heat pipes, enabling energy conversion. To dissipate excess heat from the system after conversion, additional heat pipes are positioned on the cold sides of thermoelectric elements. Cooling of the condenser sections of these heat pipes is facilitated using air flow provided by a fan. A novel approach in this study involves the innovative integration of heat pipes with thermoelectric generators. This integration provides a new pathway for optimizing waste heat recovery systems by combining advanced thermal management techniques with thermoelectric technology. Experiments conducted at different power inputs (12–42 W) and air velocities (0.4, 0.8, 1.2 m/s) determine the performance of the thermoelectric generator. Furthermore, a power usage efficiency analysis was conducted to discuss the applicability of the proposed method in electronics. At low air velocities, values below the ideal value of 1 were achieved. Experimental data were analyzed using response surface methodology to assess the impact of varying input parameters on the power output and efficiency of the thermoelectric generator. Optimization studies highlighted the importance of effectively cooling the cold side of thermoelectric elements. The highest power output and efficiency are achieved under conditions of 42 W power input, 1.2 m/s air velocity, and use of 4 heat sinks, yielding approximately 0.8 W and 2 %, respectively. Furthermore, the response surface methodology analysis indicated that the most significant effect on system outputs was the power input. Moreover, the results of this study lay the groundwork for future strategic advancements in thermoelectric generators, enhancing their role in sustainable energy solutions.

Human–Robot interaction research in hospitality and tourism: trends and future directions

Purpose This paper aims to synthesize the evolving research of human–robot interaction (HRI) in the hospitality and tourism industry, identifying gaps and setting directions for future research. Design/methodology/approach Using a mixed-method approach, the study combines inductive co-citation analysis with deductive theory-context-characteristics-methodology analysis. Findings The findings trace the progression of HRI knowledge from initial feasibility and acceptance studies to advanced post-adoption experience management. The analysis identifies prevalent theories such as anthropomorphism theory, specific contexts like hotel environments, diverse robot types (e.g. embodied robots), outcome measures (e.g. use intention) and methodologies predominantly comprising survey-based analyses and experimental approaches. The analysis not only illuminates areas of research attention but also uncovers under-explored topics, offering a roadmap for future inquiry in tourism and HRI research. Originality/value The paper contributes to the literature by providing a structured framework that not only maps the intellectual structure of HRI research in tourism but also proposes a cohesive integration of disparate theories and methodologies, addressing both practical and academic gaps.

Operational long-term management of a salt cavern for industry targeted green H2 production

Hydrogen and its derivatives such as ammonia are increasingly important for reducing carbon emissions in sectors with limited alternatives. Large production systems are generally preferred to reduce costs and for those, advanced management is a cornerstone to the project economic viability. The present work explores the development of an Energy Management System for an industrial low-emission ammonia production platform. The latter is connected to the electrical grid and consists of 1.5 GW of renewable production units, around 500 MW of electrolyzers and storage facilities including especially a salt cavern for H2 storage. The long-term management of the salt cavern is decisive to enhance the profitability while satisfying industry related constraints such as the carbon content of the produced H2. The literature lacks in addressing both aspects simultaneously. Methodological approaches to tackle the long-term management and industrial constraints are proposed and compared. For the considered platform, it is shown that a strategy based on precalculated cost functions in the long term horizon allows relative gains of 2.5% with respect to a state-of-the-art short term management leading to an annual cost saving of approximately $6.2 million in the platform operational expenses. This translates to a reduction of the gap between the state-of-the-art and the optimal a posteriori solution by about 82%.

The Association of Time to Key Prehospital Interventions Recorded by EMT-Worn video Devices and Sustained Return of Spontaneous Circulation in Out-of-Hospital Cardiac Arrest

Objectives The quality of prehospital resuscitation provided by emergency medical technicians (EMTs) is essential to ensure better outcomes following out-of-hospital cardiac arrests (OHCA). We assessed the quality of prehospital resuscitation by recording time to key prehospital interventions using EMT-worn video devices and investigated its association with outcomes of patients with OHCA. Methods This retrospective, cross-sectional study included cases of non-traumatic OHCA in adults treated by emergency medical services (EMS) in Hsinchu City, Taiwan, during 2022 and 2023. We used data from high-resolution, chest-mounted wearable cameras to define and measure six quality indices (QIs) for prehospital resuscitation interventions (i.e., time spent recognizing OHCA). To evaluate the association between QI performance and sustained return of spontaneous circulation (ROSC), we used multivariable logistic regression. Results Of 745 patients eligible for this study, 187 (25.1%) achieved sustained ROSC. Six core QIs were analyzed: recognition of OHCA (median time: 9.0 s), time from recognizing OHCA to initiating cardiopulmonary resuscitation (cardiopulmonary resuscitation [CPR]; 9.0 s), automated external defibrillator setup (34.0 s), time from recognizing OHCA to beginning ventilation (160.0 s), advanced airway management (300 s), and deploying a mechanical CPR device (50 s). The performance of the six QIs were not associated with sustained ROSC (Adjusted odds ratio [95% confidence interval]: 1.00 [0.99–1.00], 0.99 [0.98–1.00], 1.00 [1.00–1.01], 1.00 [1.00–1.00], 1.00 [1.00–1.00], and 0.99 [0.99–1.00], respectively). Conclusions This study describes the rate of sustained ROSC and time to key interventions captured by EMT-worn video devices in non-traumatic OHCA patients. Although we found no direct link between QI performance and improved OHCA outcomes, this study highlights the potential of video-assisted QIs to enhance the documentation and understanding of prehospital resuscitation processes. These findings suggest that further refinement and application of these QIs could support more effective resuscitation strategies and training programs.

An integrated analysis of key financial metrics driving commercial bank performance in Cambodia

This study aims to systematically identify and analyze key financial metrics that influence the performance of commercial banks in Cambodia. Utilizing 2023 data from the National Bank of Cambodia across 59 banks, the research adopts an explanatory framework based on cross-sectional data analysis. Findings reveal a statistically significant positive correlation between Non-Performing Loans (NPLs) and Return on Assets (ROA), suggesting effective NPL risk management by Cambodian banks, contrary to traditional financial theory. Loan Growth (LG) does not significantly impact ROA, indicating that external factors like market conditions and loan quality are more critical. Furthermore, Market Share (MS) has no significant impact on ROA, suggesting that market share may not be a critical determinant of bank performance in Cambodia. A significant negative relationship is observed between the Loan to Deposit Ratio (LDR) and ROA, suggesting that higher LDRs expose banks to liquidity risks and reduced profitability. Both Loan Loss Provision (LLP) and Cost to Income Ratio (CIR) negatively affect ROA, while the Effective Tax Rate (ETR) shows a marginally positive relationship. The Net Interest Margin (NIM) significantly impacts ROA, underscoring the importance of managing interest-earning assets and liabilities. Recommendations include investing in advanced risk management frameworks, enhancing loan quality, maintaining a balanced LDR, utilizing technology for cost efficiency, focusing on effective tax planning, and optimizing NIM through competitive pricing. Future research should explore additional contextual factors that affect profitability dynamics in the Cambodian banking sector.. Keywords: Commercial Banks, Financial Metrics, Return on Assets (ROA), Non-Performing Loans (NPLs), Loan to Deposit Ratio (LDR), Cost to Income Ratio (CIR), Effective Tax Rate (ETR), Net Interest Margin (NIM), Loan Growth (LG), Market Share (MS).

Use pembrolizumab may cause acute and severe adverse reactions: a case report and review

Introduction: Immune checkpoint inhibitors (ICIs) have emerged as pivotal therapeutics for personalized cancer treatment. Programmed death protein receptor 1/ligand 1 (PD-1/PD-L1) inhibitors represent the most extensively utilized immune checkpoint blockade agents. Among these, pembrolizumab has gained approval for advanced cancer management. By engaging with PD-1 on T cells, pembrolizumab orchestrates the immune response against tumor cells; however, it is also associated with a spectrum of adverse events, including an infrequent manifestation of fulminant type 1 diabetes. Case presentation: ICIs-induced fulminant type 1 diabetes mellitus (FT1DM) in breast cancer patients has been rarely documented. To provide further evidence of such adverse events, this paper presents the case of a 58-year-old Chinese patient with breast cancer and multi-organ metastasis, who had no prior history of diabetes. Following five courses of pembrolizumab, she developed severe fulminant type 1 diabetes accompanied by ketoacidosis. Discussion: Pembrolizumab is commonly utilized in the treatment of patients with advanced cancer. While it offers significant benefits to patients, it can also lead to numerous adverse reactions, with immune-related diabetes being the most prevalent among them as a result of pembrolizumab usage. Conclusions: FT1DM complicated with ketoacidosis represents a critical and potentially life-threatening medical condition, necessitating immediate attention. Our case study underscores the inherent risks associated with pembrolizumab administration and offers valuable insights for its safe utilization in patients.

Evaluating Microgrid Investments: Introducing the MPIR Index for Economic and Environmental Synergy

In view of the increasing environmental challenges and the growing demand for sustainable energy solutions, the optimization of microgrid systems with regard to economic efficiency and environmental compatibility is becoming ever more important. This paper presents the Microgrid Performance and Investment Rating (MPIR) index, a novel assessment framework developed to link economic and environmental objectives within microgrid configurations. The MPIR index evaluates microgrid configurations based on five critical dimensions: financial viability, sustainability, regional renewable integration readiness, energy demand, and community engagement, facilitating comprehensive and balanced decision making. The current cases focus on the area of Greece; however, the model can have a wider application. Developed using a two-target optimization model, this index integrates various energy sources—including photovoltaics, micro-wind turbines, and different types of batteries—with advanced energy management strategies to assess and improve microgrid performance. This paper presents case studies in which the MPIR index is applied to different microgrid scenarios. It demonstrates its effectiveness in identifying optimal configurations that reduce the carbon footprint while maximizing economic returns. The MPIR index provides a quantifiable, scalable tool for stakeholders, not only advancing the field of microgrid optimization, but also aligning with global sustainability goals and promoting the transition to a more resilient and sustainable energy future.

The Androgen Deprivation Therapy Landscape in 2024 – Co-navigating the Available Options with Prostate Cancer Patients

This symposium convened during the 2024 European Association of Urology (EAU) Congress in Paris, France, focusing on the multifaceted aspects of prostate cancer (PCa) treatment from the patient’s perspective. The session delved into the nuanced needs, expectations, and treatment experiences encountered by individuals diagnosed with this condition. A pivotal aspect of the discussion centred on the imperative of ensuring patient awareness and informed consent, particularly concerning androgen deprivation therapy (ADT), given its array of potential side effects. ADT, a cornerstone in advanced PCa management, encompasses a spectrum of side effects including both physical and psychological dimensions. These include, but are not limited to, body hair loss, weight fluctuations, mood alterations, decreased libido, cognitive impairments, muscle atrophy, and bone density loss. Effective management of these side effects requires comprehensive support to be provided to patients to mitigate complications and optimise quality of life. The options for ADT were discussed, with their comparative strengths and challenges. ADT strategies take effect over different time periods (from 12 hours up to 4 weeks), exert varying effects on testosterone levels, and carry different side effect profiles. Selecting the optimal course of treatment for localised or locally advanced PCa requires consideration of whether the patient is at intermediate-, high-, or very high-risk of biochemical recurrence, and whether the intermediate-risk disease is classified as favourable intermediate-risk (FIR) or unfavourable intermediate-risk (UIR). While continuous ADT is the standard of care, intermittent ADT has been associated with significantly better quality of life scores for hot flushes, desire for sexual activity, and urinary symptoms, with a trend toward improvement in the level of fatigue. Furthermore, the interplay between PCa, ADT, and cardiovascular disease (CVD) was discussed to underscore the imperative for clinicians to assess the cardiovascular risks associated with ADT, particularly in patients with heightened cardiovascular vulnerability. Mitigating the adverse skeletal effects of ADT mandates a multifaceted approach encompassing nutritional supplementation, exercise regimens, and lifestyle modifications including alcohol cessation and smoking cessation. Integrating a prehabilitation checklist into clinical practice emerges as a pragmatic strategy to facilitate informed discussions regarding the potential adverse effects of ADT, enabling proactive support provision to optimise patient outcomes.

Tunable optical and photovoltaic performance in PTB7-based colored semi-transparent organic solar cells integrated MgF2/WO3 1D-photonic crystals via advanced light management.

This study explores the design, fabrication, and characterization of PTB7-based colored semi-transparent organic solar cells (ST-OSCs) with integrated MgF2/WO3 one-dimensional photonic crystals (1D-PCs). Integrating 1D-PCs enhanced light management by creating tunable photonic band gaps, leading to extraordinary color change and improved photon harvesting. For 1DPC5 - 425 the Average Visible Transmittance (AVT) values were 33.3%, and CIE x, y was 0.43, 0.52, for 1DPC3 - 650 AVT were 25.09% and CIE x, y was 0.23, 0.27, respectively. Thus, extraordinary color changes from blue to yellow could be achieved while keeping transparency. Thereupon, photovoltaic performance showed notable improvements, with Jsc increasing from 7.98mA/cm2 to 9.95mA/cm2 and 10.45mA/cm2 for 1DPC5 - 425 and 1DPC3 - 650, respectively. By 1D-PC integration, power conversion efficiency (PCE) reached from 3.93 to 4.90% and 5.08% for 1DPC5 - 425 and 1DPC3 - 650, respectively. The Color Rendering Index (CRI) indicated successful color tuning and acceptable rendering, with CRI of 52 and 87. The study demonstrates that 1D-PC integration significantly enhances ST-OSCs' optical and photovoltaic properties, paving the way for advanced energy-harvesting applications.