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Developing economical and high‐performing sensitizers is crucial in advancing dye‐sensitized solar cells (DSSCs) and optoelectronics. This research paper explores the potential of novel red light‐absorbing organic dyes based on Indolo[3,2‐b]carbazole (ICZ) as the donor applied in co‐sensitizer‐free DSSCs for breakthroughs in photovoltaic (PV) applications. DFT and TD‐DFT based computational methods were employed to calculate the conduction band levels, electron injection capabilities, and power conversion efficiency (PCE) of metal‐free organic dyes (ICZ1–ICZ9) having D‐A‐π‐A architecture. Comprehensive analyses included NBO, DOS, FMO, ICT, MEP, binding energy, and TDM analysis. Quantum chemical calculations of the structural, photochemical, and electrochemical properties, as well as the key parameters, reveals that all the designed dyes could be an excellent candidate for high‐efficiency DSSCs due the small energy gap (2.130–1.947 eV), longer wavelength absorption (759.47–520.63 nm), longer lifetimes (15.65–6.67 ns), a lower ΔGreg (0.29–0.14 eV), a significant dipole moment changes (31.489–16.195D), LHE (0.95‐0.46), the large qCT (0.962–0.689), small DCT (7.657, 4.897 Å), and VOC (1.13–0.86 eV). This quantum simulation showed that, when compared to reference D8, the photovoltaic dyes ICZ8, ICZ2, and ICZ7 are recognized as being eye‐catching. Furthermore, dye@(TiO2)9 cluster model results demonstrate promising prospects for enhancing the photovoltaic (PV) performance of ICZ1–ICZ9 dyes by electron injection and conduction band (CB) engineering. This study will help the experimentalists for developing ICZ‐based PVs as more efficient and sustainable energy solutions. [ABSTRACT FROM AUTHOR]

The Science and Society Research Group at the Ludovika University of Public Service organised a conference in Budapest on 13 October 2023 titled: ‘Science and disinformation: how science can support society against disinformation’. The conference explored the complex relationship between science, society, and disinformation. A panel discussion was held with the aim of examining the challenges and strategies for science communication in the context of the ever-increasing issues of dis-/misinformation. The discussion highlighted the multifaceted factors that influence public trust in science; the role of digital culture on science communication and scientific knowledge production; the impact of artificial intelligence; and the relationship between science and business developments on science disinformation, especially on science-related conspiracy theories. The participants helped shed light on how science communication strategies can be improved to stabilise trust in a multi-stakeholder information environment. This article summarises the main insights and conclusions from the discussion. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has resulted in more than 440 million confirmed cases globally and almost 6 million reported deaths as of March 2022. Consequently, the world experienced grave repercussions to citizens' lives, health, wellness, and the economy. In responding to such a disastrous global event, countermeasures are often implemented to slow down and limit the virus's rapid spread. Meanwhile, disaster recovery, mitigation, and preparation measures have been taken to manage the impacts and losses of the ongoing and future pandemics. Data-driven techniques have been successfully applied to many domains and critical applications in recent years. Due to the highly interdisciplinary nature of pandemic management, researchers have proposed and developed data-driven techniques across various domains. However, a systematic and comprehensive survey of data-driven techniques for pandemic management is still missing. In this article, we review existing data analysis and visualization techniques and their applications for COVID-19 and future pandemic management with respect to four phases (namely, Response, Recovery, Mitigation, and Preparation) in disaster management. Data sources utilized in these studies and specific data acquisition and integration techniques for COVID-19 are also summarized. Furthermore, open issues and future directions for data-driven pandemic management are discussed. [ABSTRACT FROM AUTHOR]

Background: Malpractice is characterized as "careless, unsuitable, or illegal activity while performing a professional task" by Oxford Learner's Dictionaries (1). Prevalence of alternate healers is a problem of nearly all less economically underdeveloped countries. Pakistan is also one of the victims of malpractice. Factors that contribute to malpractice are proximity, affordable fee, availability, family pressure, and the strong opinion of the community. The objective of the study was to analyze why people choose alternate healers and to evaluate the misconception and myths regarding registered medical practitioners. Methods: A Descriptive cross-sectional study was conducted on a sample size of 319 with participants from Gujranwala's rural and urban areas in 2021. Both the male and female population of Gujranwala was included. Data was entered and analyzed in SPSS version 21. Results: The socio-economic and demographic variables considerably effect the choice of health care provider. More people in rural areas visit alternate healers as compared to urban areas. Lack of information and misconceptions about physicians were also the factors effecting health seeking behavior of people. Conclusion: There is a potential to improve the health-seeking behavior and utilization of health facilities by addressing the demand side (community) factors i.e., socio-economic factors, cultural beliefs, by shutting down all unlicensed practitioners and educating the community to avoid visiting them to reduce the probability of exposure to unsafe healthcare practices. [ABSTRACT FROM AUTHOR]