Digital Sources Research Articles

The economic consequences of money laundering: a review of empirical literature

PurposeThe purpose of this study is to provide a timely synthesis of the empirical literature focusing on the economic consequences of money laundering, as this topic has been gaining momentum among policymakers and academic researchers due to its adverse effects.Design/methodology/approachEmpirical studies are collected by consulting accounting and finance journals in diverse digital sources (e.g. Science Direct, Blackwell, Taylor and Francis, Springer, Sage and Emerald). Key words used to identify relevant papers include “money laundering” and “anti-money laundering regulations,” with specific focus on the economic consequences. Our search strategy includes 24 published papers over the period of 2018–2023.FindingsFindings show that most studies represent cross-country investigations; the main topics investigated focus on accounting field (e.g. audit fees, real and accrual earnings management), tax evasion, financial stability, sustainability, economic indicators (inflation, economic growth, foreign direct investment) and financial inclusion; and the economic consequences of money laundering have been also examined within banking industry (e.g. banking profitability, banking stability). Reported findings of reviewed studies suggest that money laundering has diverse adverse impacts at the country level (e.g. increased tax evasion, higher inflation rate, less sustainability and foreign direct investments), at the firm level (e.g. increased audit risk and aggressive real and accrual earnings management) and within banking industry through negative impact of money laundering on bank’s loan portfolio quality, stability and profitability.Practical implicationsWith respect to policymakers, strengthening anti-money laundering regulations may play a critical role in reducing money laundering activities. Furthermore, financial institutions should implement specific rules dealing with anti-money regulations to ensure adequate compliance and disclosure. Finally, policymakers should be aware about the importance of digital transformation to combat money laundering activities since it facilitates the detection of financial crimes due to their traceability.Originality/valueThe summary of the empirical literature focusing on the economic consequence of money laundering represents a historical record and an introduction for accounting researchers. It also urges them to further explore the economic implications of anti-money laundering disclosure within banking industry.

Гипотезы оптимизации параметров функционирования горнотехнических систем с применением методов прогнозной аналитики

The article assesses possible approaches to enhancing the efficiency of data collection to manage mining systems and it proposes an option to formulate hypotheses on optimizing their operating parameters in dynamically changing mining and geological, mining engineering and external conditions. The method of formulating and verifying hypotheses on implicit relationships between the parameters of mining and related systems appears to be an efficient tool for targeted data collection from digital sources and their storage for use in predictive analytics. The second approach is creation of artificial intelligence systems to work with data that aim to identify deviations and adjust the operating parameters of the mining system based on retrospective analysis of the collected arrays of historical information, without having hypotheses formulated in advance when managing the mining system. In addition to hypotheses on the regularities and relationships between the mining system parameters, the article emphasizes the importance of forecasting and accounting for the extent of changes in the parameters of the related systems. The related systems mean such systems as the environment and society, which interact with the mining systems in time and space. Moreover, the functioning of the latter, due to the global scale of man-caused transformation of the lithosphere, results in inevitable changes in the state of the related systems. Only the big data technologies can make it possible to reveal implicit regularities in changes in the parameters of each adjacent system, including identification of rational indicators of the mining systems operation. The paper emphasizes the data collection based on the principle of capturing all changes of the information from the digital sources. Based on this principle, we propose to standardize the approach to data collection for mining systems management

Decolonial Rhetoric of Indigenous Tharu Homestays in Nepal

The Tharu, an indigenous people residing in the southern plainland region known as the Terai in Nepal, have a historical memory of marginalization, displacement, and internal colonization. In the past decade, the emergence of homestay businesses among the Tharu has not only provided economic opportunities but has also played a crucial role in promoting their indigenous identity. Building on this phenomenon, this article investigates Tharu homestays in Nepal, with the aim of assessing the ways in which they embody indigenous decolonial rhetoric. Using a qualitative e-research method (Salmons, 2022), this article collects, analyzes, and interprets digital sources such as websites, online newspapers, YouTube videos, Facebook updates, and official reports. The interpretation is grounded in the theoretical framework of indigenous decolonial delinking (Mignolo, 2012; Smith, 2021). The article elaborates on how indigenous Tharu homestays function as decolonial spaces through six distinct lenses: their portrayal in national news coverage, their cartographic presence on Google Maps, their web-based territoriality, indigenous settings, the embodiment of indigenous culture and culinary traditions, and their amplified presence in the socio-digital media. In conclusion, the article finds that indigenous Tharu homestays in Nepal embody decolonial rhetoric by creating an amplified presence of indigenous Tharu identity across multiple spaces. This research contributes to the discourse of indigenous rhetoric, advocating for the protection and promotion of Tharu homestays in Nepal and emphasizing their role in the process of indigenous decolonization.

Automated Facial Recognition based Attendance System using OpenCV in Python

Face detection and recognition systems work by detecting faces present in an image or in a video frame and identifying the person in the image. In this work, we are interested in face detection to achieve an automatic attendance system. This work is implemented using Python and can be operated from any standalone device. This automated system stores the attendance records of students/employees with proper timestamps in the local Secondary Memory. All these records are stored date-wise. The implementation of an Automated Facial Recognition based Attendance System can help in identifying and verifying a person’s identity from a digital source in real-time. Accurate attendance records are very important for classroom evaluation in schools and colleges. It also helps to keep track of the attendance of the employees in different organizations. The traditional system of manual attendance tracking in institutes can result in errors and missed or duplicated entries. The adoption of the Face Recognition-based attendance system could help eliminate these problems and shortcomings of the classical manual attendance system. The proposed work is tested with different persons with different age groups and genders in real time. The system successfully identifies the proper persons with significant accuracy and records their attendance.

Women and Digital Literacy at the Grassroots Level

Digital activities dominate the acquisition, dissemination, and reproduction of information, causing the rise of hoax information due to the lack of digital literacy and wise use of the internet. One of the steps is through Digital Literacy, one of which is on PKK cadres. They have an important role in the family and community as influential agents to spread digital literacy in the family and surrounding community. Through a service learning approach, with five stages of social planning, namely problem identification, goal setting, program planning, program implementation and program evaluation. The results of assistance through UNS cooperation in collaboration with SEAN International Deakin University Australia to PKK cadres in Pucangan Kartasura village, Sukoharjo, Central Java. The results of this community partnership program show a significant positive impact on the PKK mothers' knowledge and skills in managing information from digital sources. Improved digital literacy skills encourage mothers to become digital literacy advocates in their families and communities and become an important step in combating the spread of hoax information at the grassroots level.

Digital biobanks are underutilized in dermatology and create opportunities toreduce the burden of skin disease.

Digital biobanks that integrate genetic data with health data captured by digital sources are used routinely to discover genes, biomarkers, gene–environment interactions and pharmacogenetic relationships across many clinical areas. There remain many opportunities in dermatology to further use biobank data to increase our knowledge about the genetic architecture of skin disease, to resolve disease mechanisms that can be modulated by medical interventions and to discover genetically derived disease relationships that inform on drug repurposing and adverse events. Such knowledge promises to reduce the global burden of skin disease and facilitates the development of tailored medical care.

PENGUATAN MANAJEMEN TRANSFORMASI MENUJU MADRASAH BERMUTU

Discriminatory policies towards Islamic education during the Dutch Colonial period in Indonesia have led to educational problems in Madrasas to this day, including: Madrasas are isolated from the flow of reform, experiencing management weaknesses, and low in actual quality. As a result, madrasas are conditioned by conventional education, and become the second choice after public schools. The aim of this study is to analyze the transformation from conventional madrasas to quality madrasas, by applying quality management reinforcement. The research method uses a qualitative approach to library research (library research), with theories referred to from several sources, namely, journals, books, and articles, as well as other literature relevant to the theory in the theme of this study, both physical and digital sources, to obtain data. valid, the technique used by the researcher is in the form of content analysis, namely a technique that uses text found in various literature or certain media, then the data is processed, analyzed and finally a conclusion is drawn. The results of the study show that transforming conventional madrasas into quality madrasas requires strengthening in management, commitment and mutual cooperation between educational stakeholders in madrasas and continuing to develop by providing service and satisfaction to all customers. Education in madrasas should emphasize transformational touches to implement professional quality management strengthening in madrasas, so that quality madrasas can be realized.

Towards an Open Digital Ecosystem for Archaeology in South America: The BADACor (Córdoba Archaeological Sites Database) as a case of an open digital archaeological source for heritage management in central Argentina

BaDACor is a database that contains a comprehensive inventory of archaeological sites located in the province of Córdoba, Argentina. The creation of this database was the result of a top-down approach, which involved the collaboration of decision-makers and professionals from the academic and state-governmental sectors. Furthermore, the database has also been utilised in a bottom-up approach, whereby interest groups and citizens concerned with heritage preservation have made use of it. This has been particularly important in light of the construction of Highway 38, which has resulted in damage to natural habitats and the destruction of territories of communities with traditional ways of life. Additionally, the construction of the highway has also endangered the integrity of ancestral territories loaded with symbolism for aboriginal communities. BaDACor has been employed in legal claims in cases of conflict with the state, and has proved to be an invaluable tool for heritage management. This is especially significant for local communities and indigenous groups who have historically had their heritage desecrated, destroyed, and hidden. The availability of BaDACor on different platforms has facilitated better access to information while also ensuring the preservation of digital data. The use of digital media has been reinforced through talks, conferences, and meetings with stakeholders to ensure that the voices of affected communities are heard in decision-making processes.

Individual participant data from digital sources informed and improved precision in the evaluation of predictive biomarkers in Bayesian network meta-analysis

ObjectivesWe aimed to develop a network meta-analytic model for the evaluation of treatment effectiveness within predictive biomarker subgroups, by combining evidence from individual participant data (IPD) from digital sources (in the absence of randomized controlled trials) and aggregate data (AD). Study Design and SettingA Bayesian framework was developed for modeling time-to-event data to evaluate predictive biomarkers. IPD were sourced from electronic health records, using a target trial emulation approach, or digitized Kaplan-Meier curves. The model is illustrated using two examples: breast cancer with a hormone receptor biomarker, and metastatic colorectal cancer with the Kirsten Rat Sarcoma (KRAS) biomarker. ResultsThe model allowed for the estimation of treatment effects in two subgroups of patients defined by their biomarker status. Effectiveness of taxanes did not differ in hormone receptor positive and negative breast cancer patients. Epidermal growth factor receptor inhibitors were more effective than chemotherapy in KRAS wild type colorectal cancer patients but not in patients with KRAS mutant status. Use of IPD reduced uncertainty of the subgroup-specific treatment effect estimates by up to 49%. ConclusionUtilization of IPD allowed for more detailed evaluation of predictive biomarkers and cancer therapies and improved precision of the estimates compared to use of AD alone.

단음을 기반으로 한 해금 농현의 특성 분석에 대한 연구

Vibrato, called nonghyeon or nongeum , is one of the typical performance
 techniques frequently used in gugak (Korean traditional music). There have
 been studies that analyzed the characteristics of vibrato of vocal and wind
 instruments in the field of gugak . However, there are not many studies that
 objectively analyzed the characteristics of vibrato of haegeum, one of the
 representative Korean traditional string instruments. This study examines the
 characteristics of haegeum vibrato, using strong, medium, and soft monotones
 of haegeum from the digital sound sources provided by the National Gugak
 Center. It analyzes 42 haegeum monotones specifically in terms of intonation,
 vibrato rate, and vibrato extent.
 As a result, the vibrato speed in haegeum is around 4 Hz (four times per
 second), which is generally lower than that in Western music. The vibrato
 extent ranges from 60 cents to 153 cents on average per note, which covers a
 somewhat larger range compared to that in Western music. In addition, there
 are some discussions regarding the tendency for the vibrato rate to increase,
 which appeared at the end of some vibratos, and the results of the vibrato
 extent according to strong, medium, and soft playing in monotones.
 This study is significant in that it has provided basic data on the
 characteristics of the haegeum vibrato, but also has a limitation of analyzing
 only monotones played by a single performer. It is hoped that future research
 will be conducted to analyze the characteristics of haegeum vibrato on various
 pieces performed by multiple performers.

국립국악원 국악 디지털 음원-국악기 음색을 활용한 <수업 종 만들기> 창작 지도

This study devises a method for instructing the creative activity of 'Making Class
 Bells' using the tone of Korean traditional instruments from the gugak (Korean
 traditional music) digital sound source provided by the National Gugak Center.
 First, as a result of reviewing the aspects of gugak creation content included in
 the 2015 revised middle school music textbook, there were no creative activities
 utilizing the tones of gugak instruments. Based on the reviewed contents, an
 instruction plan of the creative activity using the tone of gugak instruments
 consists of four steps: the step of exploring gugak instruments, the step of
 distinguishing the tones of gugak instruments, the step of utilizing the tones of
 gugak instruments, and the step of submitting what they created. Following these
 steps, the creative activity of 'Making Class Bell', made up of eight classes, was
 applied to the first-year middle school students in Seocho-gu, Seoul. The first
 result is that students were able to experience the tone of gugak instruments and
 further the harmony of sound. Second, they were able to practice gugak in their
 life. Third, this activity shows that the gugak creative education using digital
 media can become active. Fourth, they can enjoy various gugak instruments. Fifth,
 they can develop their creativity through the composition activity.

Pemanfaatan Bookcreator untuk Optimalisasi Literasi Digital Guru dalam Pengembangan Bahan Ajar

The rapid development of technology 5.0 requires teachers to have competence in utilizing technology optimally. Teachers are expected to innovate in the learning process, such as developing interactive and interesting teaching materials. Apart from that, there is still a lack of effective learning resources that are ready to use and suit learners’ needs. Moreover, the use of the Merdeka Curriculum requires stakeholders and students to move as dynamically as possible. This certainly hinders the teaching and learning process. Through this activity, teachers are able to create digital teaching materials in the form of e-modules with the help of bookcreator application. The method of this activity is in the form of delivering material, training as well as mentoring, and evaluation. The results of this activity include increasing teachers' skills in creating digital teaching materials. The materials can be used as a learning resource for students. This is in line with the increasing creativity of teachers in utilizing all digital sources as needed as teaching materials

The combination of the Song Dynasty patterns and digital technology

Abstract The Song-era artifacts carry ideas of naturalness and moderate elegance, preserving and passing them on to future generations. The emerging digital opportunities and initiatives allow us not only to study pattern samples in detail but also to create digital equivalents that are not subject to aging or destruction. This research aims to obtain specific knowledge and situational experience regarding the digitization of Song Dynasty patterns. At the preliminary research stage, the authors performed an online survey on a popular Chinese platform. The survey confirmed the interest of a wide audience in cultural heritage (CH) objects and their preservation. The respondents noted the focus on digital sources of information and considered the documentary video format an optimal educational design. In the first stage, Song patterns were digitally processed using MATLAB version 7.0 and ACDSee. In the subsequent phase, based on the processed patterns, the authors developed an instructional video. In the third stage, the researchers assessed students’ knowledge acquired by watching a video (experimental group) or attending a lecture with a presentation based on raw patterns (control group). The results obtained before and after the intervention showed significant progress in each group. It indicated the effectiveness of the digitized images and this intervention for obtaining new knowledge and raising awareness about the Song Dynasty CH.

Web Scraping Data Collection from Leather Craft E-Commerce

In the field of information research leather crafts are an important part. Especially about leather crafts, about the most dominant materials used and to assist process making of other products. With the emerge of e-commerce and digital computing, gathering information from digital sources and structuring it in a convenient way can provide meaningful information. Data sources are obtained by using web scraping in extracting information from websites based on text by presenting data statistics, the results of this study show the dominant use of synthetic leather materials, which is Polyurethane polymers can be applied to all types of leather handicraft products.

A Comprehensive review of Nigella sativa (kalonji) from the Unani perspective

The remarkable therapeutic properties of Nigella sativa, often known as black seed or kalonji are well recognized. The use of N. sativa seeds and its oil has a long history in various traditional food and medical systems. As stated by the holy prophet of Islam (PBUH), Shoneez is important since it can cure all diseases with the exception of death. It is widely used in several conventional medical systems, including Unani Tibb, Chinese medicine, Ayurveda, and Siddha.
 The goal of the current review is to provide a thorough overview of the literature on scientific studies of the pharmacognostical properties, chemical makeup, and pharmacological activity of the seeds of this plant.
 The data was collected from various reputed data bases like PubMed, Science direct, Web of Saciences, Google Scholar and Research Gate. The traditional and Unani literature was also searched from the classical books of Greco-Arab medicine in addition to other digital sources.
 According to traditional Unani literature, N. sativa exhibits a variety of pharmacological properties, including those that are carminative, anti-inflammatory, analgesic, diuretic, emmenagogue, galactagogue, and expectorant. Numerous phytochemical, pharmaceutical, and clinical studies have been conducted on N. sativa, revealing its potential anti-diabetic, anti-cancer, immunomodulator, analgesic, antimicrobial, anti-inflammatory, bronchodilator, renal protective, gastro-protective, antioxidant, and other properties. N. sativa is among the top-ranked evidence-based herbal medications because of its remarkable healing ability. The main bioactive component of the essential oil, thymoquinone, is responsible for the majority of its medicinal capabilities.
 Nigella sativa is a potent herb which exhibits wide range of pharmaceutical properties, most of which have been confirmed via preclinical and clinical studies. This review may thus be useful for the research community in particular and common people in general to avail the benefits of N. sativa.
 Keywords: Anti-cancer, Kalonji, Habat-ul-Sauda, Shoneez, Thymoquinone, Nigella sativa, Unani

A cross-sectional study of inequalities in digital air pollution information access and exposure reducing behavior uptake in the UK

Air pollution is a pervasive global environmental challenge that presents substantial and differential risk across populations. Individual-level pollution exposure is a function of varying factors, including but not limited to geographic location, proximity to point sources, ventilation, and behavioral patterns. Mounting evidence suggests that informational interventions can play a substantial role in mediating exposures for specific population subgroups and reduce downstream adverse health outcomes. The literature has yet to address whether access to air quality information is sociodemographically stratified, and whether such access correlates with increased uptake of exposure reducing behaviors at the population level. This study represents a first step in answering these questions by analysing responses from the “Clean Air Public Insight Tracker” nationally representative survey (n = 1,993) of the UK population, administered by UK charity Global Action Plan. Results from logistic regression and zero-inflated negative binomial models estimate 28% of the population have accessed air pollution information, while the odds of younger individuals (ages 18–36), men, and non-white individuals of accessing digitally available air quality information are greater that those outside these categories. Additionally, the odds of behavior uptake is greater if an individual accesses digital information sources like the internet, mobile apps or social media, has a higher education qualification or cares for someone with a health condition. These findings contribute to the growing literature surrounding which population groups engage with environmental and health-relevant information channels, and what connects engagement with air quality channels and uptake of exposure reducing behaviors. These results reinforce the need for additional research around air pollution informational alerts and exploring causal links between specific exposure reducing behaviours and improved health outcomes. It can also help inform the flow of resources and targeting of informational campaigns towards sociodemographic groups that are less likely to engage with air quality information.

Quality Assurance in Digital Forensic Investigations: Optimal Strategies and Emerging Innovations

Digital forensic investigations are critical in modern law enforcement, cybersecurity, and legal proceedings. Ensuring digital evidence’s accuracy, integrity, and reliability is paramount in these contexts. This review article explores the challenges and best practices associated with quality control in digital forensic investigations and the emerging technologies that are reshaping the field. The article begins by discussing the foundational concepts of quality control in digital forensics, emphasizing the need for standardized procedures, documentation, and validation techniques. It delves into the potential sources of errors and bias that can arise during the acquisition, preservation, analysis, and presentation of digital evidence. It highlights the importance of continuous monitoring and review to mitigate these risks. The review article further examines the evolving landscape of digital forensic tools and technologies advancing quality control efforts. It covers advancements in data acquisition methods, including live forensics and memory analysis, and discusses the role of artificial intelligence and machine learning in automating quality control processes. The integration of Blockchain and cryptographic techniques for ensuring the integrity of digital evidence is also explored. In addition, the article addresses the challenges and opportunities presented by cloud computing, IoT devices, and the proliferation of digital data sources. It emphasizes adaptability and agility in quality control approaches to accommodate the changing digital landscape. Through a comprehensive analysis of established practices and emerging technologies, this review article offers practitioners, researchers, and policymakers’ insights into enhancing the reliability and trustworthiness of digital forensic investigations. By adopting robust quality control measures and embracing innovative technologies, the digital forensics community can ensure its findings hold up to scrutiny in the courtroom and beyond.

Empréstimos do inglês na língua cabo-verdiana no presente e no passado

The main objective of the present study is to observe the influence of English on the Cape Verdean language, taking into account the historical events and the linguistic contacts between the languages in question. It is intended to observe how Anglicisms have been introduced in different contexts, especially in recent times, therefore, without forgetting the British and American influence in Cape Verde in past centuries and its impact on the lexicon. The semantic fields covered include, among others, new technologies, sports and music (rap kriol). The present descriptive research is based mainly on digital sources, such as social networks, online press, dictionaries available online and song texts. In conclusion, the analysis carried out proves the constant presence of Anglicisms in Cape Verdean reality, as well as their flow related to the emergence of new phenomena that need to be named.

대학교 홍보를 위한 캐릭터디자인 연구

Character design is a highly utilized content as a digital content source such as NFT, Metaverse, and Enicon, which have recently become an issue. Therefore, characters are used as a necessity, and they are highly likely as various marketing means through the development of many types of commercialization. This study aims to develop characters for university promotional materials and products of Baehwa Women's University to enhance the unique image of the school and show the possibility of branding. Baehwa Women's University has 125 years of history and 45 years of university history, and it is expected to be highly utilized as a means to promote the university to high school students through unique design, and to sell it as goods to photo spots in Seochon and Bukchon.

Using big data for generating firm-level innovation indicators - a literature review

Obtaining indicators on the innovation activities of firms has been a challenge in economic research for a long time. The most frequently used indicators - R&D expenditures and patents - provide an incomplete picture as they represent inputs in the innovation process. Output measurement of innovation has strongly relied on survey data such as the Community Innovation Survey (CIS). However, this type of data suffers from several shortcomings typical of surveys, including incomplete coverage of the business sector, subjectivity concerns, low timeliness, and limited comparability across industries and firms. An alternative that has attracted growing interest is to use big data sources to collect innovation data at the firm level. This paper discusses recent attempts to use digital big data sources including websites and social media to generate firm-level innovation indicators. It summarises the main challenges of using big data and proposes practical guidelines for their use, including a research agenda that should be useful to practitioners as well as users of statistics derived from big data.