Transparent System Research Articles

Obstacles to the Full Realization and Adoption of Artificial Intelligence (AI)

Artificial Intelligence (AI) holds transformative potential across various sectors, yet its journey to full realization and widespread adoption is impeded by several significant obstacles. These challenges span technical, ethical, societal, research and development, implementation, and regulatory domains, necessitating a comprehensive and multi-faceted approach to address them.Technical Challenges: AI systems require vast amounts of high-quality, labeled data, which is often unavailable or of poor quality. AI models also struggle to generalize beyond specific tasks, and their opaque decision-making processes hinder trust. Scaling AI to handle large datasets and interactions, while ensuring robustness and security against adversarial attacks, poses major technical hurdles.Ethical and Societal Challenges: AI can perpetuate and amplify biases, leading to unfair outcomes and privacy issues. AI-driven automation risks job displacement, necessitating measures for worker support and retraining. The rapid development of AI outstrips regulatory bodies' abilities to create appropriate frameworks, complicating responsible deployment.Research and Development Challenges: AI struggles to integrate information from different modalities and lacks human-like common sense and reasoning. Improving AI's learning efficiency to reduce its dependence on vast data is a significant research focus.Implementation Challenges: Integrating AI into legacy systems, addressing the talent shortage, and managing the high costs of AI development and deployment are substantial barriers.Ethical and Regulatory Uncertainty: The absence of universally accepted ethical guidelines and varying regulatory landscapes create uncertainty and potential misuse.Addressing these multifaceted obstacles requires a concerted effort from researchers, developers, policymakers, and society to create robust, fair, and transparent AI systems, unlocking AI's full potential and societal benefits.

Hybrid Blockchain Network for Drug Traceability in Secure Pharmaceutical Supply Chain

Several stakeholders are involved in the pharmaceutical supply chain (PSC), including those who provide raw materials, make and sell drugs, and oversee the industry, hospitals, pharmacies, and patients. An efficient traceability system is necessary to ascertain the present and all prior ownership of products because of the intricate nature of product and transaction flows in PSC. Furthermore, regulatory supervision and product safety can be significantly improved by digitizing the track and trace procedure. A permanent, trustworthy, responsible, and transparent system in the PSC can be achieved using blockchain-based medication tracing, which provides a distributed shared data platform. A hybrid blockchain network (HBN) based on secure pharmaceutical supply chain architecture (SPSCA) has been proposed for this research. The suggested system relies on smart contracts to record significant events and track how all the parties engaged in the supply chain perform their respective tasks. In this way, everyone concerned can remain informed of developments and protect the supply against manipulations of supply records and counterfeit pharmaceuticals. All parties involved benefit from a secure, immutable record of transactions due to the smart contract, which additionally guarantees the provenance of data and deals with mediators. Detailed methods and the system architecture that enable the solution's functioning are laid out here. We perform testing and validation to assess the system's efficacy in improving pharmaceutical supply chain traceability and provide cost and security evaluations.

Administrative and legal framework for the introduction of the electronic notarial system in Ukraine

The article is dedicated to the study of the administrative and legal foundations for the implementation of the electronic notarial system in Ukraine. The author examines the process of transitioning from the traditional paper-based notarial system to a digital one, highlighting the benefits of increased efficiency, document security, and accessibility. The study focuses on the phased approach adopted by the government to implement the e-notary system, outlining key stages such as the creation of electronic registries, the development of a digital archive for notarial acts, and the introduction of a system for online notarial services. These developments represent a significant modernization of Ukraine’s notarial services. The author emphasizes the need for substantial legal reforms to support the full-scale digitalization of notarial services. It is highlighted that the Ukrainian Law on Notariate currently lacks explicit provisions for the use of digital technologies, which necessitates amendments to accommodate electronic notarial acts, remote notarization, and the integration of digital signatures. Additionally, the article discusses the challenge of aligning the e-notary system with European standards, especially regarding the cross-border recognition of electronic documents. The alignment of Ukrainian notarial laws with international frameworks is crucial for ensuring the system’s compatibility with global legal standards. The article identifies several key advantages of the e-notary system, including the automation of processes, which significantly reduces the time and administrative burden involved in notarial acts. Enhanced security measures, such as digital signatures and QR codes, provide protection against forgery and unauthorized alterations of notarial documents. Furthermore, the integration of the e-notary system with state databases facilitates efficient information exchange, thereby improving the accuracy and reliability of notarial services. These factors contribute to a more transparent and effective notarial system that can better meet the needs of modern society. Of particular note is the author’s focus on the importance of cybersecurity and data protection in ensuring the long-term success of the e-notary system. The article underscores the need for robust security measures to protect sensitive legal information from cyber threats, which are increasingly becoming a concern in the digital age. The author concludes by outlining prospects for further research, particularly in the areas of legal reform, public trust in digital notarial services, and the technological infrastructure needed to ensure the resilience and security of the electronic notarial system.

Online Voting System Using Blockchain: A Secure and Transparent Approach

Blockchain technology has emerged as a viable solution for secure and transparent digital voting systems. Traditional voting systems, particularly online voting mechanisms, are often vulnerable to security risks such as hacking, tampering, and vote manipulation. Furthermore, maintaining voter anonymity and ensuring data integrity are significant challenges. Blockchain, with its distributed and immutable ledger, offers potential solutions by providing a secure and decentralized approach to recording votes. This paper explores the architecture, implementation, and advantages of a blockchain-based online voting system that leverages the security features of blockchain technology to improve the voting process. By utilizing cryptographic principles and decentralized data storage, the system enhances transparency, reduces fraud risks, and ensures that votes remain immutable. The proposed system includes mechanisms for voter registration, vote casting, and result verification, all of which are secured by smart contracts. Experimental results demonstrate that blockchain can maintain voter anonymity, resist tampering, and provide an auditable voting trail. Additionally, the study discusses challenges in scalability, latency, and regulatory compliance, offering insights into potential improvements and future work. Overall, the research indicates that blockchain based voting has the potential to transform electoral processes, providing a trusted digital voting alternative that aligns with democratic principles. Key Words: Blockchain Technology, Digital Voting, Online Voting Systems, Data Integrity, Transparency, Security, Cryptography, Smart Contracts, Voter Anonymity, Tamper-Resistance, Immutable Ledger, Scalability, Decentralization.

Ethical Dilemmas and Their Impact on Accountability in Local Governments: A Study of the Greater Kigezi Sub-Region in Uganda

This study examines the impact of ethical dilemmas on accountability in local governments within the Greater Kigezi sub-region of Uganda comprising of Kabale, Kanungu, Kisoro, Rubanda and Rukiga local governments and therefore, sufficient enough to represent and enable generalization of findings to other local governments in the country. Over the past few decades, public sector reforms have sought to enhance transparency, efficiency, and service delivery. Despite these efforts, Uganda continues to face challenges in maintaining strong accountability systems, particularly at the local government level. Ethical dilemmas—stemming from conflicts of interest, political pressure, resource constraints, and cultural norms—undermine accountability and transparency, leading to corruption and diminished public trust. The study investigates these dynamics by exploring how ethical challenges affect governance in local governments through the aid of questionnaires and interviews with stakeholders drawn from the local governments and opinion leaders who represent the voices of the grassroots. Focusing on the Greater Kigezi sub-region, the research highlights widespread governance issues such as nepotism, political interference, and weak institutional oversight. Findings reveal that ethical dilemmas hinder public sector performance by compromising decision-making and oversight processes. To address these challenges, the study suggests enhancing ethical training, strengthening oversight institutions, fostering civic engagement, and developing clearer policies on ethics and accountability. By implementing these policy reforms, stakeholders can create more transparent and accountable local governance systems that better serve community needs

Resolving Disputes in International investment through Arbitration

This paper brings forth an extensive analysis of the role of arbitration in resolving disputes in international investment, providing a comparative study of the existing frameworks and emerging alternatives. As cross-border investments continue to grow, disputes between foreign investors and host states have become increasingly common. International arbitration has emerged as the preferred method for resolving such conflicts due to its neutrality, enforceability, and flexibility. The paper explores the key legal instruments governing international investment arbitration, including Bilateral Investment Treaties (BITs), Free Trade Agreements (FTAs), and multilateral agreements like the Energy Charter Treaty. It also examines the two most widely used procedural frameworks: the International Centre for Settlement of Investment Disputes (ICSID) and the United Nations Commission on International Trade Law (UNCITRAL), comparing their distinct approaches to arbitration. While arbitration has proven effective, it faces growing criticisms, including high costs, lengthy proceedings, and concerns about transparency and arbitrator impartiality. The research also highlights regional initiatives, particularly in Latin America and China, which reflect diverse approaches to investment dispute resolution. By comparing these frameworks and emerging trends, the paper sheds light on the strengths, weaknesses, and future direction of international investment arbitration, emphasizing the need for a more transparent, equitable, and accessible system to balance the interests of investors and host states. The analysis concludes by assessing the potential impact of these reforms on the future of international investment law.

Social protection for inclusive growth: a tale of two countries Pakistan and Bangladesh

PurposeThis paper examines and compares the role of social protection to promote inclusive growth in two countries (once related), Pakistan and Bangladesh, from 1984 to 2020, using annual time series data.Design/methodology/approachThe study used principal component analysis to develop the index of social protection, inclusive growth and macroeconomic stability. It also employed co-integration with impulse response function and fully modified ordinary least squares test for long-run cointegration.FindingsThe key results highlighted that social protection positively promotes inclusive growth in both countries. However, Bangladesh attains a high position in achieving inclusive growth through the mechanism of welfare programs. Findings show that institutional quality, macroeconomic stability and globalization are the positive and significant drivers of inclusive growth in both countries. It also confirms that macroeconomic stability and globalization are contributing more to achieving inclusive growth in Bangladesh as compared to Pakistan.Practical implicationsInstitutions and macroeconomic stability in both countries are critical toward providing a transparent system of welfare schemes to achieve inclusive growth. Shocks to social protection schemes in Pakistan are inconsistent for achieving inclusive growth as compared to Bangladesh.Originality/valueThe study extends the empirical measurement of social protection and inclusive growth while using protracted dimensions and indicators. It further examines and compares the dynamics of social protection programs for inclusive growth in two countries once related. For further originality and reliability, this study checks the robustness of long-run estimates by disaggregating the institutional quality and globalization into their key dimensions.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2023-0548

Analysis of Current Management Strategies on Business Operations of Two State Enterprises

The study sought to establish how effective were the business management strategies currently being used by two state enterprises in the Ministry of Lands, Agriculture, Fisheries, Water and Rural Development namely, the Grain Marketing Board (GMB) and the Zimbabwe National Water Authority (ZINWA). The study was prompted by the negative media reports and the complaints from key stakeholders about the operations of these institutions. The main theory underpinning the study was the Resource-Based Entrepreneurship theory (RBET) by Hussain et al. (2019) complimented by the organisation theory (Oyibo and Gabriel, 2020). The pragmatism philosophy was applied to ensure that both quantitative and qualitative aspects of study were accommodated. The study used the mixed methods paradigm and the explanatory sequential design. The target population was made up of 97 managers from both the GMB and the ZINWA, as well as government officials from the parent ministry from which a sample of 46 respondents was used to obtain quantitative data responses. A self -administered structured questionnaire and semi-structured interview guide were used. The major findings were that the two parastatals had several strategies which if fully utilised could improve their operations such as outsourcing some non-key services, holding of regular meetings to get updates on the economic activities which might impact on the entities and working with reputable partners to build business growth. The major recommended strategies are that both parastatals should conduct research to facilitate innovation and development, creating and enforcing prudent and transparent financial management systems, adoption of sound corporate governance framework (practices), as well as carrying out organisational restructuring, nurturing appropriate organisational culture and having effective performance management systems.

Changing Forms of Ownership in a Democratic Corporatist Media System — How Digitalization Leads to Less Transparency and the Risk of Media Capture

Digitalization has led to a crisis in news media and an upheaval in media ownership. A research concern has been that the motives driving media owners will shift from financial and public service to overtly political and ideological. The term “media capture” has been suggested to describe how various interests may take control over news media outlets. This paper adds to the study of digitalization and media ownership in three ways. First, our analysis is based on new analytical parameters developed as part of the Euromedia Ownership Monitor. Second, we compare types of ownership across legacy news media and digital news media, as each media type runs a different risk regarding capture. Third, we focus on ownership transparency, especially that of beneficial owners. Our case study is Denmark, which is part of the democratic corporatist media system and, based on international ratings, is one of the most democratic and transparent media systems in Europe. We find that private legacy news media is mostly owned by nonprofit foundations, while legacy public service news media is owned by the State or is listed as self-owned. Regarding new digital news media, we find different ownership forms. However, only new digital news media have ownership by a sole proprietor. Regarding transparency, we find the transparency of direct and beneficial owners is more accessible in legacy news media than in new, digital news media. We find no tradition for publishing “natural persons” possible affiliations to either political or other commercial interests. This seems especially relevant, as new digital news media outlets, unlike legacy media, sometimes are owned and funded by private investors, whose main business interests lie outside the news media and whose motives for owning a news media may differ from traditional ownership thus leading to a risk of media capture by ownership.

An Attempt to Predict Transparent Armor Ballistic Performance through Quasi-Static Punch Shear Test

Abstract Background Transparent armor systems are traditionally designed following a trial-and-error approach, which involves high development costs associated with ballistic testing. This research article presents a novel methodology, termed quasi-static multi-punch shear testing, within the domain of transparent armor systems. Objective The primary aim is to establish a correlation between multi-hit ballistic tests at Level III-A according to the NIJ 0108.01 standard, achieved through an adaptation of the single-shot ballistic limit methodology, and the quasi-static multi-punch shear testing. The objective is to utilize a simple experimental methodology that provides insights into the multi-hit ballistic behavior of transparent armors. Methods Parameters such as absorbed energy and observed damage mechanisms were utilized to assess the potential relationship between these tests. Transparent armor samples that underwent testing using the quasi-static multi-punch shear test were subsequently cross-sectioned using a water jet cutting machine to facilitate visualization of material damage. In addition, drawing on insights from quasi-static multi-punch shear testing results, the K-means clustering algorithm was employed to predict the likelihood of a specific transparent armor system passing a multi-hit ballistic test. Results Various damage mechanisms were observed as a function of the punch displacement, and correlations were made with the load–displacement curves. Furthermore, the implementation of the K-means clustering algorithm successfully classified transparent armor into two groups: those that passed the ballistic test and those that did not. Conclusions This research significantly advances understanding of transparent armor system behavior under multi-hit conditions and offers a promising predictive tool for evaluating their performance through straightforward and cost-effective experimentation.

Comparing Feature and Trajectory-Based Remaining Useful Life Modeling of Electrical Resistance Heating Wires

Industrial heating significantly contributes to global greenhouse gas emissions, accounting for a substantial portion of annual emissions. The transition to fossil-free operations in the heating industry is closely linked to advancements in industrial electrical heating systems, especially those using resistance heating wires. In this context, Prognostics and Health Management is crucial for enhancing system reliability and sustainability through predictive maintenance strategies. The integration of machine learning technologies into Prognostics and Health Management has significantly improved the precision and applicability of Remaining Useful Life modeling. This improvement enables more accurate predictions of component lifespans, optimizes maintenance schedules, and enhances operational efficiency in industrial heating applications. These developments are essential for reducing greenhouse gas emissions in the sector. This paper serves as a guide for conducting Remaining Useful Life modeling for industrial batch processes. It evaluates and compares two methodologies: deep learning-based approaches using full time-series data, such as recurrent neural networks and their variants, and feature-engineering-based methods, including random forest regression and support vector machines. Our results show that the feature-oriented approach performs better overall in terms of predictive accuracy and computational efficiency. The study includes a detailed sensitivity analysis and hyperparameter estimation for each method, providing valuable insights into developing robust and transparent Prognostics and Health Management systems. These systems are crucial in supporting the heating industry’s move towards more sustainable and emission-free operations. The findings reveal that feature-oriented methods are both performant and robust, particularly excelling in handling outliers. The random forest regression model, in particular, demonstrated the highest performance on the test dataset according to the chosen evaluation metrics. Conversely, trajectory-oriented methods exhibited less bias across varying levels of degradation, a helpful characteristic for Prognostics and Health Management systems. While feature-oriented methods tend to systematically underestimate Remaining Useful Life at high true values and overestimate it at low actual values, this issue is less pronounced in trajectory-oriented models. Overall, these insights highlight the strengths and limitations of each approach, guiding the development of more effective and reliable predictive maintenance strategies.

Revolutionizing Freight Management: A Synergistic Approach Using IoT and Blockchain Technologies

This article explores the transformative potential of integrating Internet of Things (IoT) and blockchain technologies in freight tracking and management. Traditional freight tracking methods often suffer from inaccuracies, delays, and lack of transparency, leading to inefficiencies across the supply chain. Integrating IoT devices, such as GPS trackers, RFID tags, and condition monitoring sensors, with blockchain's secure and immutable ledger system offers a promising solution to these challenges. This article examines the current state of freight tracking, the fundamentals of IoT and blockchain technologies, and their combined application in creating real-time, secure, and transparent freight management systems. It discusses the benefits of this integrated approach, including enhanced visibility, improved efficiency, reduced disputes, and more agile supply chain operations. The article also addresses the challenges and considerations in implementing such systems, including technical hurdles, data privacy concerns, scalability issues, and regulatory requirements. Finally, it explores future prospects and research directions, such as the integration with AI and machine learning and the potential for expanding applications beyond tracking to areas like autonomous logistics. Through a comprehensive analysis of current implementations and future possibilities, this article provides valuable insights into how IoT-blockchain integration is poised to revolutionize the freight industry, offering a roadmap for more efficient, secure, and transparent global supply chains.

Trust my IDS: An explainable AI integrated deep learning-based transparent threat detection system for industrial networks

Trust my IDS: An explainable AI integrated deep learning-based transparent threat detection system for industrial networks

Bridging Human and Machine Intelligence: Reverse-Engineering Radiologist Intentions for Clinical Trust and Adoption

In the rapidly evolving landscape of medical imaging, the integration of artificial intelligence (AI) with clinical expertise offers unprecedented opportunities to enhance diagnostic precision and accuracy. Yet, the "black box" nature of AI models often limits their integration into clinical practice, where transparency and interpretability are important. This paper presents a novel system leveraging the Large Multimodal Model (LMM) to bridge the gap between AI predictions and the cognitive processes of radiologists. This system consists of two core modules, Temporally Grounded Intention Detection (TGID) and Region Extraction (RE). The TGID module predicts the radiologist's intentions by analyzing eye gaze fixation heatmap videos and corresponding radiology reports. Additionally, the RE module extracts regions of interest that align with these intentions, mirroring the radiologist’s diagnostic focus. This approach introduces a new task, radiologist intention detection, and is the first application of Dense Video Captioning (DVC) in the medical domain. By making AI systems more interpretable and aligned with radiologist’s cognitive processes, this proposed system aims to enhance trust, improve diagnostic accuracy, and support medical education. Additionally, it holds the potential for automated error correction, guiding junior radiologists, and fostering more effective training and feedback mechanisms. This work sets a precedent for future research in AI-driven healthcare, offering a pathway towards transparent, trustworthy, and human-centered AI systems. We evaluated this model using NLG(Natural Language Generation), time-related, and vision-based metrics, demonstrating superior performance in generating temporally grounded intentions on REFLACX and EGD-CXR datasets. This model also demonstrated strong predictive accuracy in overlap scores for medical abnormalities and effective region extraction with high IoU(Intersection over Union), especially in complex cases like cardiomegaly and edema. These results highlight the system's potential to enhance diagnostic accuracy and support continuous learning in radiology. We are also releasing the source code for our project, available here.

Completing the legal framework for asset registration in Vietnam to meet the demands of economic development

The design of asset registration has significant importance in publicly disclosing and transparently informing about the legal status of assets, closely linked to the civil rights of individuals and organizations when establishing and exercising ownership rights and other rights related to assets. A truly market-oriented economy cannot function without the existence and operation of a transparent and modern asset registration system. Therefore, in recent years, Vietnam has made efforts to establish legislation on property registration, which serves as a crucial legal foundation for recognizing and protecting ownership rights and other rights related to the assets of organizations and individuals. This helps enhance the government’s ability to manage information on the current status and legal condition of assets. The article analyzes the economic impacts of improving the legislation on property registration in Vietnam to meet the requirements of economic development in the context of integration.

Job Uncertainty and The Well-Being of Non-Permanent Employees

This research aims to analyze the influence of job uncertainty on the motivation and performance of non-permanent employees at the Nias Regency DPRD Secretariat, identify effective HR management strategies in reducing the negative impact of job uncertainty on the welfare of non-permanent employees, and assess the role of managerial support and the work environment in mitigating the effects. negative job uncertainty on the welfare of non-permanent employees. This research uses qualitative research methods using observation, interview and documentation data collection techniques. The research results show that job uncertainty is mainly caused by inconsistent contract policies, frequent regulatory changes, and a lack of effective communication from management. The impact of this uncertainty is very significant, especially on employees' psychological well-being, which includes increased levels of stress, anxiety, as well as decreased work motivation and productivity. To overcome this problem, this research proposes several policy recommendations, including the need for more consistent contract policies, a more transparent communication system, and additional welfare support for employees. By implementing these recommendations, it is hoped that the Nias Regency DPRD Secretariat can create a more stable work environment, improve employee welfare, and support the long-term success of the organization.

Does Serendipity Affect Democratic Consequences? Examining the Role of Algorithmic Awareness, Intolerance of Uncertainty in Incidental News Exposure and Online Political Participation

Abstract In the context of social media becoming users' primary access to information, such as news, incidental news exposure under the influence of algorithmic recommendation and its democratic consequences are worth studying. While studies on the relationship between social media users’ incidental news exposure and online political participation have been widely explored, we know little about the current mechanisms of variable association in the context of algorithmic recommendations. This study examines the mediating role of algorithmic awareness and the moderating effect of intolerance of uncertainty on the relationship between incidental news exposure and online political participation among Chinese social media users. Findings indicate that algorithmic awareness negatively mediates this relationship, suggesting that users’ participation in online politics is heightened by their awareness of algorithmic curation. Intolerance of uncertainty positively moderates the link between incidental news exposure and online political participation, emphasizing the impact of personality traits on democratic engagement. This study underscores the importance of transparent algorithmic systems and user-centred design in fostering informed citizen participation in the digital era and offers a comprehensive perspective on the role of serendipity in Chinese democratic participation.

Remedies of Online Gendered Violence against Women in the Digital Context

Online gendered violence (OGV) is a range of harmful behaviors committed through the use of technology as a means of enforcing gender norms that result in mainly sexual and psychological harm or suffering to women. Based on psychological studies, OGV can be classified into four distinct categories: digital sexual harassment, appearance-based violence, gender role-based violence, and anti-feminism violence. The impact of OGV on women is amplified by the systemic discrimination they face in society, making their experiences of online violence unique and especially harmful. This paper explores the legal recognition of OGV, the mechanisms for holding perpetrators accountable, and the potential relief paths available to victims. Through a detailed analysis of these issues, this study aims to provide a comprehensive understanding of how the legal system can be enhanced to more effectively respond to OGV. It argues that a multifaceted approach—one that includes legal reforms, algorithmic transparency, and stronger social support systems—is essential in mitigating the effects of OGV and ensuring justice for women in digital spaces.

Evaluating village financial governance in top tourism destinations

Village fund management is important for village economy and welfare. Village funds in Gresik Regency, Indonesia In particular, for the 2022 period, the revenue budget is IDR. 2,355,638,000 in Pangkahkulon village, while Rp. 9,865,701,000 for Sekapuk village, demonstrating the principles of accountability and transparency for effective and sustainable development. Accountability and transparency in village fund management ensure clear financial reporting, community participation, and openness of information, despite still facing obstacles such as lack of resources and regulations. Lack of community participation reduces accountability, transparency in achieving good financial governance in 3 villages in Gresik Regency. This study proposes to assess the impact of financial governance in Sekapuk, Pangkahkulon, and Sidokumpul Villages, focusing on accountability, transparency, and community participation. Despite progress, challenges including resource constraints and regulatory changes remain. This study provides in-depth insights into the effectiveness of village financial management systems, emphasizing the importance of community participation in improving accountability and transparency and building public trust. This study explores the implementation of good financial governance in three Gresik villages, focusing on accountability, transparency, and community participation. The study design uses a phenomenological approach to understand perceptions related to transparency and accountability in village fund management in Gresik Tourism Villages through interviews and observations. Primary data were collected from village officials, and analysis was conducted using NVivo 12 Plus, prioritizing transparency and community participation. This study found that accountability in Gresik Tourism Villages requires a transparent and efficient financial system. The SISKEUDES application experienced technical problems that affected reporting, so technical improvements and staff training were needed. Transparency and community participation in meetings and discussion forums are key to increasing trust and effectiveness in village fund management. Thus, in achieving Good Financial Governance in Gresik Tourism Villages, a financial system that is accountable, transparent, and involves community participation is needed. Information technology, regular training, and supervision with NGOs are important for efficiency and transparency, and discussion forums strengthen community trust.

Achieving bifacial photovoltaic performance in PTB7-based organic solar cell by integrating transparent contact for emerging semi-transparent applications

In this study, the design, fabrication and detailed analysis of semi-transparent bifacial organic solar cells (ST-OSC) based on MoO3/Ag/WO3 (10/dm/dod nm) dielectric/metal/dielectric (DMD) transparent contact system integrated with PTB7 polymer were investigated. The study emphasizes the importance of designing transparent contact systems to optimize the solar cells’ transparency (average visible transmittance, AVT), color rendering (color rendering index, CRI), efficiency (power conversion efficiency, PCE), and bifaciality. The performance of three distinct configurations was examined in the AVTmax (47.14% AVT, 3.93% PCE), (CRIext)max (23.82% AVT, 6.21% PCE), and Extreme Color (26.34% AVT, 5.81% PCE). The theoretically predicted AVTs for these configurations were 48.75%, 22.29%, and 25.15%, respectively. The strong agreement between theoretical and observed outcomes confirmed the accuracy of the Transfer Matrix Model (TMM). Furthermore, the assessment of bifaciality performance exhibited that the AVTmax had a bifaciality factor of 0.94, with a PCE of 3.67% under top illumination and 3.93% under bottom illumination. The high bifaciality of the structure designed with TMM to maximize the AVT demonstrates the value of calculations prior to solar cell structure fabricating and the possibility of constructing high bifaciality structures using this technique.