Implementation Of Technology Research Articles

A comprehensive examination of physical characteristic of ternary halide perovskites AgXBr3 (X= Ca, Sr, and Ba) towards optoelectronic and photovoltaic applications

The present paper investigates and explains a computational study of the physical characteristics of the silver compound AgXBr3( X= Ca, Ba, and Sr) perovskites. The calculations are determined by WIEN2K code within DFT by considering (GGA) and hybrid functional (HSE) approximations. Optimization of the lattice constants of the three compounds shows a suitable concord with the available theoretical literature. Moreover, the electronic properties indicate that these compounds behave as semiconductors, exhibiting an indirect band gap. Elastic and mechanical characteristics are studied for the first time, indicating the stability of materials under investigation. The optical properties show that these perovskites are promising candidates for photovoltaic and optoelectronic applications due totheir superior absorption coefficient and modest reflectivity. Furthermore, the thermodynamic and thermoelectric attributes suggest that the perovskite materials investigated hold promise for implementation in thermoelectric technology, showcasing a favourable figure of merit at ambient temperature.

Skin Microbial Composition and Genetic Mutation Analysis in Precision Medicine for Epidermolysis Bullosa.

Epidermolysis bullosa (EB) is an inherited skin disease representing a spectrum of rare genetic disorders. These conditions share the common trait that causes fragile skin, resulting in the development of blisters and erosions. The inheritance follows an autosomal pattern, and the array of clinical presentations leads to significant physical suffering, considerable morbidity, and mortality. Despite EB having no cure, effectively managing EB remains an exceptional challenge due to its rarity and complexity, occasionally casting a profound impact on the lives of affected individuals. Considering that EB management requires a multidisciplinary approach, this sometimes worsens the condition of patients with EB due to inappropriate handling. Thus, more appropriate and precise treatment management of EB is essentially needed. Advanced technology in medicine and health comes into the bioinformatics era. Including treatment for skin diseases, omics-based approaches aim to evaluate and handle better disease management and treatment. In this work, we review several approaches regarding the implementation of omics-based technology, including genetics, pathogenic mutation, skin microbiomics, and metagenomics analysis for EB. In addition, we highlight recent updates on the potential of metagenomics analysis in precision medicine for EB.

Digital resources in teaching Russian to Chinese students outside of the language environment

Introduction. Relations between China and Russia are becoming increasingly close, resulting in a high demand for Russian language specialists in the labor market. The lack of a language environment in Chinese universities is a pressing problem that teachers would like to solve. Therefore, the active implementation of digital technologies will undoubtedly compensate for this deficiency. The purpose of the study is to analyze the use of Chinese internet resources in teaching Russian language in Chinese universities. Materials and Methods. The study involved undergraduate, postgraduate and doctoral students studying in the fields of "Russian as a Foreign Language", "Philology", "Linguistics" and "Russian Literature". A total of 117 respondents from nine higher education institutions in Russia and China. These institutions include Heilongjiang Institute of Foreign Languages, RUDN, Moscow State University, Moscow State Pedagogical University, Institute of China and Modern Asia of the Russian Academy of Sciences, Bauman Moscow State Technical University, Russian State University of Tourism and Service, Inner Mongolia University, and Yili Pedagogical University. The research methods employed in the study were analysis of scientific and scientific-methodological literature, observational (monitoring of online and distance learning), diagnostic (interviews with teachers, student surveys), and statistical analysis. Results. It was found that Chinese students do not know which form of education is most preferable outside of the Russian-speaking environment (35.9% – online, 37.61% – in-person, 38.46% – blended). However, respondents (67%) stated that various online resources provide significant help in learning the Russian language. The most popular programs and platforms were Chinese Dingding and Tencent Meeting, international Microsoft Teams and Zoom. Not all Russian-language dictionaries are available online for Chinese people, which is why the share of translation programs assisting in learning Russian language has increased (over 70%). The most frequently used Chinese dictionary was "Qianyiciba" (62%), and the most popular websites include Google Translate, Yudao Translator, Baidu Translate, and Bilibili. It has been proven that among the main problems hindering the process of learning Russian language in online and distance learning formats, psychological discomfort, lack of communication, increase in independent work, and individualization in learning considering the personal needs of students should be highlighted. Conclusion. The results obtained make it possible to determine the prospects for using digital resources in teaching Russian as a foreign language to Chinese students outside of the language environment.

Narrative Inquiry into the Challenges of Implementing XR Technologies in Education: Voices from Future Hub 2023

This research explores the multifaceted challenges and opportunities inherent in the integration of Extended Reality (XR) technologies—comprising Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR)—within educational contexts. Utilizing a narrative inquiry methodology, this study draws upon the experiences and perspectives of participants at the Future Hub Forum 2023, a gathering of researchers, educators, and technologists specializing in immersive learning technologies. Through the collection and analysis of narrative materials, including interviews, presentations, and observational data, the study aims to elucidate the complex interplay of technological, pedagogical, and infrastructural challenges that influence the adoption and effective use of XR technologies in education. Key findings reveal significant barriers to widespread XR integration, including issues of access and affordability, which exacerbate existing digital divides; challenges in training and securing buy-in from stakeholders; content creation and deployment hurdles; and infrastructural and administrative obstacles. Despite these challenges, the study also uncovers a collective optimism about the transformative potential of XR technologies to revolutionize pedagogical approaches and learning outcomes, provided these barriers can be overcome. The implications of this research extend beyond the immediate context of XR technology implementation, offering insights into broader questions of educational equity, the evolving landscape of digital pedagogy, and the future of immersive learning experiences. By highlighting the voices and experiences of those at the forefront of XR adoption in education, this paper contributes to a deeper understanding of the conditions necessary for the successful integration of these technologies into diverse educational settings. Through its narrative approach, the study also underscores the value of storytelling and personal narratives in uncovering the nuanced realities of educational technology adoption, offering a rich, contextualized perspective that quantitative methods alone may not capture.

Analysis of Islamic Economic Principles in Financial Technology in Indonesian Islamic Banking

The purpose of this research in to provide an overview of the implementation of financial technology in the mobile banking system owned by Bank Muamalat Indonesia and what Islamic economic principles are used in its implementation. The research method uses a qualitative with type of case study at the Lamongan sub-branch office, East Java, Indonesia. The result of the research is the implementation of financial technology in Islamic Banking namely Bank Muamalat Indonesia by features. The principle of Islamic economics applied is not to make transactions that contain riba, gharar, maysir, tadlis, riswah and isyraf in financial technology services with Muamalat DIN features found in mobile banking.

The Impact of Technological Competence and Service Innovation Implementation on Brand Equity: A Case Study of Hotel Industry in Vietnam

This paper aims to propose and investigate two new antecedent factors (Technological competence and service innovation implementation) that affect hotel brand equity development in the context of the hotel. Questionnaire data were collected from 215 domestic tourists who have traveled to at least one experience using service to stay at 4-5 star hotels. The results of empirical tests using a structural equation model support the research hypotheses. The findings support direct positive links between technological competence, service innovation implementation, and the dimensions of brand equity, as well as the positive relationship between overall brand equity and its dimensions, except for the effect of destination brand awareness. Finally, relevant implications are provided for destination marketers to improve hotel brand equity in the tourism industry.

Regulatory Sandbox dan Implementasi pada Inovasi berbasis Financial Technology (Fintech)

Abstract. The development of financial innovation called "Financial Technology" has developed rapidly so far. Disruption to digital finance certainly needs to be regulated in such a way as to minimize risk and stabilize the state financial system. In an effort to regulate this innovation, regulators place limits on digital forms of finance that are widely used by the public. Today's society tends to have an instant, easy lifestyle, and use online transactions. In this era, digital finance is at the top of society, one of the most forms of fintech is application-based lending that brings together lenders and recipients/borrowers in one application. With digital financial innovation getting fast attention from competitors in the business world outside of banks, they tend to take advantage of the community and namely the rise of online loans. One of the efforts to mitigate risk by financial institutions is to issue a Regulatory Sandbox policy through Bank Indonesia Regulation Number PBI No.19/12/PBI/2017 of 2017 concerning the Implementation of Financial Technology and Financial Services Authority Regulation (POJK) Number 13/POJK.02/ 2018 of 2018 concerning Digital Financial Innovation in the Financial Services Sector (POJK 13/2018). This study intends to analyze the extent to which these regulatory issues have represented the needs of agencies and society. This legal research uses empirical legal research methods, which this research relies on applicable laws and regulations as well as other related literature. The results of this research are the ineffectiveness of current regulations among the public and regulators as well as the increasingly complex problems faced by financial institutions, especially in the field of banking.

Determining rational parameters for the treatment of concentrated wastewater from etching site by using combined systems producing sediments of predefined composition

The object of this study is model solutions, spent sulfuric acid and chloride acid etching solutions, degreasing of metal products at enterprises. The paper reports results of research on the possibility of obtaining sediments of predefined composition and reducing the consumption of chemical reagents in comparison with conventional cleaning schemes. The systematization of the elements of the technological scheme has been shown, which provides for the treatment of concentrated wastewater of the etching area in combined systems with obtaining sediments of predefined composition and is the basis for the implementation of resource-saving technology. Rational parameters were established for the state (рН=3‒4, Eh=+0.3‒+0.33 V, and rH2=16.3–19.38 V) and technological parameters (degree of iron extraction ψ=0.8, reagent consumption from the stoichiometric norm of B=0.8). Such parameters provide the proper conditions for the oxidation of organic compounds and their co-precipitation with insoluble iron hydroxy compounds (the maximum degree of extraction of organic impurities is 86 %). The formed precipitate corresponds to the FeOOH.nH2O composition, contains 2‒3 % of organic impurities, and is subject to burial. As a result of studies on the treatment of concentrated iron-containing wastewater, the obtained sediment is ready for further utilization by processing. The composition of this sediment corresponds to the natural mineral limonite FeOOH (Fe2O3.nH2O) and is formed at pH values from 3.5 to 7.5 with rH2 values from 26 V to 21 V and at technological regeneration parameters of pH=4.0–4.6; rH2 =23.34–32.25 V. As a result of research into the deep purification of wastewater using a magnetic device, a suspension of sediment of ferromagnetic impurities (hydroxo compounds of iron) is obtained, which could be the basis for extraction or production of magnetically favorable dispersed material.

Investigating the effectiveness of a mobile wind turbine generating electricity from vehicle air movement

This study presents an evaluation of the effectiveness of a portable wind generator designed to harness wind flow generated by moving vehicles for electricity production. With a growing emphasis on renewable energy sources and the need for sustainable power solutions, innovative approaches such as utilizing vehicle-induced wind currents have gained attention. The portable wind generator under examination is engineered to capture airflow from passing vehicles and convert it into electrical energy. Through a combination of field experiments and theoretical analysis, the performance and efficiency of the device were assessed under various environmental and traffic conditions. Factors such as wind speed, direction, and vehicle velocity were considered in the evaluation process. The results indicate promising potential for the portable wind generator as a supplementary power source, particularly in environments with high vehicular traffic. However, challenges such as variability in wind patterns and optimal positioning of the generator remain areas for further investigation and refinement. Overall, this study contributes to the understanding of utilizing unconventional wind resources and provides insights into the practical implementation of mobile wind energy technology for sustainable electricity generation.

APPLICATION OF ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION INSTITUTIONS: FOREIGN EXPERIENCE

The purpose of this article is to study the application of artificial intelligence in higher education institutions in foreign countries. The article provides an overview of various tools for using artificial intelligence in the educational environment, reveals examples of successful implementation of digital technologies in higher education institutions, and outlines the shortcomings that should be taken into account when introducing artificial intelligence into educational practice. Methodology. The study used a set of complementary methods based on the principles of general scientific methodology: theoretical methods of analysis, synthesis and generalisation of works corresponding to the stated topic. Theoretical analysis allowed the identification of theoretical concepts, models and technologies used to support the educational process. The method of synthesis enabled the information obtained to be put into a systematic and comprehensible form. By synthesising different sources and data, a general idea of how artificial intelligence can be used in modern education was formed. The method of synthesis helped to build a system of existing knowledge and experience in this area and identify new areas of research. Results. The creation of individualised experiences using artificial intelligence and machine learning has been shown to tailor learning to the individual characteristics of the student, increasing the effectiveness of training. Personalised learning technologies are used to improve the learning process through data mining and the provision of personalised information. Personalised learning can also use methods such as games and virtual activities to make the learning process more interesting and engaging. Disadvantages include insufficient technological development, lack of personal contact, limited AI in the curriculum, limited creativity and flexibility of systems, algorithmic discrimination and loss of skills. Despite these shortcomings, it is noted that the use of intelligent learning systems and adaptive technologies allows for the personalisation of learning based on the individual characteristics of each student, which contributes to more effective training. It is important to find an optimal balance between the traditional approach to learning and the use of the latest learning technologies that will contribute to successful and productive learning. Practical implications include the importance of personalising learning with the help of intelligent systems, the need to find a balance between traditional and modern methods, taking into account the shortcomings of technology implementation, continuing research and developing partnerships for the successful implementation of artificial intelligence in educational practice. Value/Оriginality. The paper proposes specific methods and examples of artificial intelligence application in education, analyses the shortcomings of this process and provides practical recommendations for its further improvement.

Rancang Bangun Company Profile Berbasis Web Menggunakan Metode Waterfall (Studi Kasus : APM Frozen Food)

This research explores the development of a company profile website with a holistic approach using Bootstrap, CodeIgniter 3, Apache, and MySQL as the technological foundation. The main focus is to optimally integrate the frontend and backend. The research methodology includes in-depth analysis of requirements, responsive design, implementation with CodeIgniter 3 for backend logic, utilization of Apache as a server, and MySQL for efficient database management. Active observations, interviews, and thorough documentation resulted in concrete solutions for this project. The results include not only successful implementation of the latest technology but also strengthened website performance and responsibility. This research has a positive impact by increasing the effectiveness of company website development and creating an integrated and optimally responsive environment for user needs.

Tuning electrostatic repulsive and acid–base forces for efficient fouling mitigation in membrane filtration system

Membrane fouling caused by colloidal particles and microorganisms impose restrictions to further practical implementation of membrane separation technology. To advance the practical applications of this technology sustainably, this study explores an in-situ fouling control strategy utilizing an electrochemical membrane filtration (EMF) system. By applying varying electric potentials, the study evaluated the impact on dissolved organic matter (DOM) removal and elucidated the fouling mechanisms involved. The results indicate that increasing the potential significantly enhances the water flux of the conductive carbon membrane (CC/PVDF), with the flux at 3.0 V being 2.1 times greater than at 0 V. Moreover, this adjustment in potential significantly reduces the attachment of viable bacteria to the CC/PVDF membrane, with an applied potential greater than or equal to 2 V completely inactivating Escherichia coli (E. coli). The cohesive free energy (ΔGSWS) and extended Derjaguin–Landau–Verwey–Overbeek (XDLVO) theories suggest that imposing an external potential improved the acid–base and electrostatic repulsive forces between foulants and the membrane, as the applied potentials significantly increased the surface potential and wettability of the membrane. This EMF system not only mitigates fouling effectively but also delineates a path for enhancing membrane durability in practical applications.

Implementation of Blockchain Technology on Accounting Information System For Transaction Security and Data Reliability

This research discusses the impact of blockchain technology on accounting information systems, with a focus on transaction security and data reliability. Blockchain, as an innovation in the digital world, promises significant improvements in security, transparency, and decentralization. Despite offering potential benefits, the implementation of blockchain in accounting information systems is still limited, with challenges involving high costs, lack of regulations, and data security concerns. In Indonesia, limited resources and digital literacy are key factors in overcoming these limitations. This research uses a qualitative descriptive approach because it aims to gain a deeper understanding. The qualitative approach allows researchers to analyze data, understand contexts, and formulate meaning from the information found. Data sources in this study were obtained from primary sources such as interviews and secondary data obtained from document studies. Interviews were conducted with participants knowledgeable about implementing blockchain in accounting information systems. The data collection process identified that blockchain can improve transaction security and data reliability in accounting information systems. However, scalability and integration with existing infrastructure pose challenges. Digital literacy awareness and infrastructure preparedness are identified as key factors for the successful implementation of blockchain technology in the accounting context. This research is expected to provide insights and recommendations for the development of blockchain technology and accounting information systems in the future. The implications of this research are that by implementing blockchain technology in accounting information systems, it can improve the quality of accounting information in companies and increase the long-term value of the company.

Implementation of Health IT for Cancer Screening in US Primary Care: Scoping Review.

A substantial percentage of the US population is not up to date on guideline-recommended cancer screenings. Identifying interventions that effectively improve screening rates would enhance the delivery of such screening. Interventions involving health IT (HIT) show promise, but much remains unknown about how HIT is optimized to support cancer screening in primary care. This scoping review aims to identify (1) HIT-based interventions that effectively support guideline concordance in breast, cervical, and colorectal cancer screening provision and follow-up in the primary care setting and (2) barriers or facilitators to the implementation of effective HIT in this setting. Following scoping review guidelines, we searched MEDLINE, CINAHL Plus, Web of Science, and IEEE Xplore databases for US-based studies from 2015 to 2021 that featured HIT targeting breast, colorectal, and cervical cancer screening in primary care. Studies were dual screened using a review criteria checklist. Data extraction was guided by the following implementation science frameworks: the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework; the Expert Recommendations for Implementing Change taxonomy; and implementation strategy reporting domains. It was also guided by the Integrated Technology Implementation Model that incorporates theories of both implementation science and technology adoption. Reporting was guided by PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). A total of 101 studies met the inclusion criteria. Most studies (85/101, 84.2%) involved electronic health record-based HIT interventions. The most common HIT function was clinical decision support, primarily used for panel management or at the point of care. Most studies related to HIT targeting colorectal cancer screening (83/101, 82.2%), followed by studies related to breast cancer screening (28/101, 27.7%), and cervical cancer screening (19/101, 18.8%). Improvements in cancer screening were associated with HIT-based interventions in most studies (36/54, 67% of colorectal cancer-relevant studies; 9/14, 64% of breast cancer-relevant studies; and 7/10, 70% of cervical cancer-relevant studies). Most studies (79/101, 78.2%) reported on the reach of certain interventions, while 17.8% (18/101) of the included studies reported on the adoption or maintenance. Reported barriers and facilitators to HIT adoption primarily related to inner context factors of primary care settings (eg, staffing and organizational policies that support or hinder HIT adoption). Implementation strategies for HIT adoption were reported in 23.8% (24/101) of the included studies. There are substantial evidence gaps regarding the effectiveness of HIT-based interventions, especially those targeting guideline-concordant breast and colorectal cancer screening in primary care. Even less is known about how to enhance the adoption of technologies that have been proven effective in supporting breast, colorectal, or cervical cancer screening. Research is needed to ensure that the potential benefits of effective HIT-based interventions equitably reach diverse primary care populations.

Awareness of Using Tablets as Potential Assistive Pedagogical Tool among Primary School Teachers in Nachingwea District

This study investigated the awareness of using tablets as Potential assistive pedagogical tools among primary school teachers. The Technological Pedagogical and Content Knowledge (TPACK) model was adopted to show the process of professional development for teachers as a consequence of technology implementation in classrooms. Triangulation design with concurrent orientation was used that enables data collection, interpretation and analysis using quantitative and qualitative approaches at a single phenomenon and same time. Data collection tools included closed-ended questionnaires and an interview guide. Descriptive statistics and thematic analysis were used to analyse data. The findings revealed that all the respondents were familiar with the use of tablets, but they differed in terms of knowledge and skills of how to change the devices in facilitating the teaching processes where there are those with high awareness, medium awareness and low awareness. The study recommends that the government should provide in-service training in ICT to build teachers’ ability to use tablets as assistive pedagogical tools. The findings of the study bear significant practical implications for a broad range of stakeholders, including learners, teachers, educators, policymakers, mobile companies, industry professionals, researchers, NGOs, and society at large. The results aid educational stakeholders, and policymakers in making informed decisions about increasing the provision of modern ICT tools to teachers

Emergence of Ferroelectricity in p‐Type 2D In1.75Sb0.25Se3

p‐type 2D ferroelectric semiconductors (2D FeSs) play an increasingly essential role in the advanced nonvolatile and morphotropic beyond‐Moore electronic devices with high performance and low power consumption. But reliable p‐type 2D FeS with holes as majority carriers are still scarce. Herein, the first experimental realization of room‐temperature ferroelectricity in van der Waals layered β‐In1.75Sb0.25Se3 down to few layer is reported. The origin of ferroelectricity in β‐In1.75Sb0.25Se3 comes from aliovalent elemental substitution, antimony substituting to the indium sites (SbIn), changing the local environment of the central‐layer Se atoms. Thanks to the intrinsic ferroelectric and semiconducting natures, FeS field‐effect transistor (FeSFET) devices based on β‐In1.75Sb0.25Se3 exhibit reconfigurable, multilevel nonvolatile memory (NVM) states, which can be successively modulated by gate voltage stimuli. Furthermore, the inherent operation mechanism, due to the switchable polarization, indicates that a neuromorphic memory is also possible with 2D FeSFETs. These presented results facilitate the technological implementation of versatile 2D FeS devices for next‐generation logic‐in‐memory approach for Internet‐of‐Things entities.

Advancing the understanding of successful technology implementation factors within state DOTs: a maturity model perspective

In an effort to improve the security, dependability, and quality of infrastructure systems, the implementation of complex transportation construction and maintenance projects is essential. Building upon a previous study that identified six crucial factors for effectively implementing new and emerging technologies in the State Department of Transportations (DOTs), this research aims to comprehensively explore six critical factors using a maturity model perspective. DOTs have shown increasing interest in adopting emerging and wireless technologies, as evident in various Federal Highway Administration Every Day Counts initiative. This study employs a mixed-methods approach, using survey responses from DOT personnel to evaluate the relative significance of technology implementation factors and subfactors. The six factors for successful technology implementation explored in this study are Organization Structure, Information Technology Infrastructure, Data Security, Information Workflow, Personnel Training, and Stakeholder Engagement. The study also evaluates the relative importance of People, Process, and Technology for each of these six factors. The paper focuses on providing detailed insights into the different criteria of each technology implementation factor and subfactor to guide agencies in successful technology deployment. Understanding these factors is critical to deploying emerging technologies successfully, which, in turn, leads to much-needed efficiency and productivity in highway construction and asset management. The findings of this study can help DOTs prioritize their technology investments and ultimately contribute to the development of a more advanced and sustainable transportation infrastructure system.

Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation

This study aims to provide an overview of the current state-of-the-art applications of artificial intelligence (AI) and machine learning in the management of hepatocellular carcinoma (HCC), and to explore future directions for continued progress in this emerging field. This study is a comprehensive literature review that synthesizes recent findings and advancements in the application of AI and machine learning techniques across various aspects of HCC care, including screening and early detection, diagnosis and staging, prognostic modeling, treatment planning, interventional guidance, and monitoring of treatment response. The review draws upon a wide range of published research studies, focusing on the integration of AI and machine learning with diverse data sources, such as medical imaging, clinical data, genomics, and other multimodal information. The results demonstrate that AI-based systems have shown promise in improving the accuracy and efficiency of HCC screening, diagnosis, and tumor characterization compared to traditional methods. Machine learning models integrating clinical, imaging, and genomic data have outperformed conventional staging systems in predicting survival and recurrence risk. AI-based recommendation systems have the potential to optimize personalized therapy selection, while augmented reality techniques can guide interventional procedures in real-time. Moreover, longitudinal application of AI may enhance the assessment of treatment response and recurrence monitoring. Despite these promising findings, the review highlights the need for rigorous multicenter prospective validation studies, standardized multimodal datasets, and thoughtful consideration of ethical implications before widespread clinical implementation of AI technologies in HCC management.

Recent records of thermohaline profiles and water depth in the Taam ja’ Blue Hole (Chetumal Bay, Mexico)

Coastal karst structures have been recently explored and documented in Chetumal Bay, Mexico, at the southeast of the Yucatan Peninsula. These structures, recognized as blue holes, stand out for their remarkable dimensions within a shallow estuarine environment. Particularly the Taam Ja’ Blue Hole (TJBH), revealed a depth of ~274 mbsl based on echo sounder mapping, momentarily positioning it as the world's second-deepest blue hole. However, echo sounding methods face challenges in complex environments like blue holes or inland sinkholes arising from frequency-dependent detection and range limitations due to water density vertical gradients, cross-sectional depth variations, or morphometric deviations in non-strictly vertical caves. Initial exploration could not reach the bottom and confirm its position, prompting ongoing investigation into the geomorphological features of TJBH. Recent CTD profiler records in TJBH surpassed 420 mbsl with no bottom yet reached, establishing the TJBH as the deepest-known blue hole globally. Hydrographic data delineated multiple water layers within TJBH. Comparison with Caribbean water conditions at the Mesoamerican Barrier Reef System, reef lagoons, and estuaries suggests potential subterranean connections. Further research and implementation of underwater navigation technologies are essential to decipher its maximum depth and the possibilities of forming part of an interconnected system of caves and tunnels.

Settlement of Traffic Offences: A Shift in the Presumption of Innocence and the Impact on Legal Justice

Traffic offences are a serious issue in Indonesia, creating complex challenges for the justice system and social costs. Although Law No. 22/2009 has defined the rules, the high number of accidents and offences indicates the ineffectiveness of law enforcement. This study aims to investigate the impact of traffic offences on legal justice, the effectiveness of sanctions, and the shifting presumption of innocence in Indonesia. The research methodology included both quantitative and qualitative approaches, involving analyses of accident data and interviews with authorities. The results showed a high number of offences, a lack of effectiveness of Law No. 22 of 2009, and the phenomenon of "peace in place." The implementation of ETLE cameras became an alternative, despite internet access constraints. Perma No. 12/2016 changed the judicial process, moving from a presumption of innocence to a presumption of guilt. This shift provides uniform sanctions without considering individual circumstances. The limitation of violators' rights in ticket hearings violates the principle of justice. The implementation of e-ticket technology shows advantages, but the dependence on the internet and the potential for misuse are obstacles. The shift to the presumption of innocence in the Perma raises doubts about the fairness of the justice system. Improving fairness requires a re-evaluation of the application of sanctions, technological improvements, and a deeper understanding of the rights of offenders. These recommendations are expected to improve the justice system related to traffic offences in Indonesia.