bluuebunny/crossref_metadata_2025 huggingface dataset:
Migration: An Efficient Explorer Operator to Guide Swarm Evolution
Authors: Yi Wan , He Lili , Liang Yanchun , Guan Renchu , Han Xiaosong
Published: October 2022

Particle Swarm Optimization with Migration (MPSO) is proposed to solve the issue that PSO will come across unbearable time cost problem when dealing with High-dimension, Expensive and Black-box objective function tasks. Migration operator is inspired by the migration of Salmon. Salmon will start a dangerous journey from the ocean to the home rivers for reproduction. The process of the entire behavior is similar with the reduction and recovery of dimension. Therefore, we design the Migration operator where a pre-trained Wasserstein Auto-encoders (WAE) is applied to simulates the migration behavior to accelerate the process of evolution in PSO, and we use Least-Squares Regression in lower space to product better generation. In comparison with famous baselines methods in some benchmark functions, MPSO converges more faster and more accurate which show the great potential of migration operation.
Salivary amylase as a monitoring index for respiratory infectious virus contamination
Authors: Hosokawa Kento , Mizukoshi Kaori , Yamamoto Tetsuji , Hayase Atsuko , Mori Takuya , Sugano Ikuo
Published: October 2022

Contact infection is a common route of respiratory infections, including that caused by severe acute respiratory syndrome coronavirus 2. Monitoring of viral contamination of environmental surfaces is critical for implementing appropriate hygiene measures and reducing the risk of viral transmission. We assessed the novel utility of the salivary amylase test on environmental surfaces for monitoring the viral contamination risk. An assay based on the principle of immunochromatography was used to detect amylase. Contamination of plastic substrates with amylase and viral genes over time showed similar patterns under laboratory conditions. Moreover, amylase was detected on the surfaces surrounding individuals who performed behaviors (e.g., coughing and sneezing) that spread droplets. Accordingly, detection of amylase might indicate the presence of viral genes in cases where droplets from infected individuals were retained on surfaces. Environmental surfaces (n = 186) located in public facilities were investigated and amylase was highly detected in the food courts (66.7−75.0%) and washbasins of hotel guest rooms (100%). However, no correlation was observed between the adenosine triphosphate level (a marker of hygiene control) and the sites positive for amylase. Our research provide a method revealing sites of viral contamination and lead to the establishment of an appropriate infection control system.
Methodical Preparation of the Future Physics Teachers to the Formation of Schoolchildren Science literacy
Authors:   Transbaikal State University, Svetlana I. Desnenko
Published: October 2022

Based on the analysis of the research, the author identifies and substantiates the ways of preparing students as future physics teachers for the formation of natural science literacy among schoolchildren. The conclusion is made about the special methodological preparation of the future physics teacher for the formation of natural science literacy among schoolchildren. It is proposed to carry out such training as a system, taking into account the level implementation (basic, advanced, advanced levels of training). The option of training carried out at the Transbaikal State University in accordance with the curriculum in the direction of training 44.03.05 Pedagogical education (with two training profiles), profile “Informatics and Physics” is being considered. The basic level of training can be implemented within the framework of the normative discipline “Methods of training and education (Physics)”. An increased level of training can be carried out when studying the discipline “Modern technologies for teaching Physics”. An in-depth level of training can be implemented within the framework of elective disciplines (“Modern Physics Lesson”, “Selected Chapters of the Methods of Teaching Physics”), when writing term papers and final qualification papers on the methodology of teaching Physics. The article provides specific examples illustrating the implementation of the developed system of methodological training. Particular attention is paid to the basic and advanced levels of complexity methodological tasks within the framework of the methodological disciplines under consideration. The special role of methods and forms of teaching students is emphasized, assuming their active participation in the discussion of problems related to the formation of natural science literacy among schoolchildren when studying physics at school. Examples of special tasks of various levels of complexity on the formation of natural science literacy among schoolchildren when teaching Physics in basic school are given and analyzed. These tasks have been developed by a student under the guidance of the author of the article as a part of the final qualifying work. The theoretical basis of the study is a systematic approach. The author views the prospects for further research in identifying and substantiating approaches to the formation of competencies of a future physics teacher in conjunction with natural science literacy and its structural elements formed in schoolchildren when teaching physics.
Exchange Rate Policy Regimes, Private Investment Behaviour and Economic Growth in Nigeria (1960 -2020)
Authors: Popoola Mufutau Akanmu , Ajayi Jimoh Olayinka , Abiodun Tijani Saheed
Published: October 2022

To improve economic growth acceleration, the Nigerian government should continue to formulate and implement several policies including exchange rate policy regimes. Exchange rate policy regime of any government could be a fixed exchange rate regime when the price of a country’s currency in terms of another country’s currency is fixed to a value by the monetary authority; it could be a floating regime when the price of a country’s currency in terms of another country’s currency is left to be determined by the forces of demand and supply, while a managed-floating regime is undertaken when there is an element of both fixed and floating regimes. Following the Barro (1990) theoretical framework, this study attempted to assess the effects each exchange rate regime has on the economy through the mechanism of private investment spending. The researcher carefully selected macroeconomic variables that have been considered in the econometric models for empirical analysis of the research study in this dissertation through statistical estimation techniques as guided by Barro (1990) and international studies, specifically that of Sahoo et al., (2012), in this area of study. These variables include GDP as an indicator for economic growth, Private capital, private sector credit, real exchange rate, interest rate, government capital expenditure, trade openness, exchange rate regimes dummies, total employment, and spending on health and education. Specifically, the study set out to empirically quantify the impact of both fixed and floating regimes on private investment spending and in turn, on economic growth in Nigeria.Through this study, the key determinants of private investment spending and economic growth in Nigeria. To achieve the study’s objectives and address the respective research questions, preliminary examinations of the data were conducted through the use of visual and unit root tests and some of the variables were found to be stationary at levels (i.e., 𝐼(0)) while some are stationary in their first differences (i.e., 𝐼(1)). The study proceeded to estimate both private investment and economic growth models simultaneously using Two-Stage Least Squares (TSLS) method.
Dynamic and bibliometric analysis of terms identifying the combating financial and cyber fraud system
Authors: Yarovenko Hanna , Rogkova Marina
Published: October 2022

The main purpose of this study is to conduct a dynamic and bibliometric analysis of the main terms that identify the system for combating financial and fraud to identify trends in the formation of social and scientific thought. The review of the scientific literature indicates an increase in the number of scientific publications over the past ten years. It was revealed that the most cited works cover the problems associated with cyber threats in everyday life, among which are botnets, cyber bullying, as well as financial fraud implemented through cryptocurrencies, smart contracts, and the black market on the Internet. Cloud forensics, technical and intellectual analysis are proposed as countermeasures. The research tools were a dynamic analysis of global network user requests, implemented using Google Trends, and a bibliometric analysis of scientific publications by the world’s leading scientists, performed using the VOSviewer analytical package. The search terms “Fraud”, “Finance Fraud”, “Cyber Fraud”, “Finance Cyber Fraud”, “Money Laundering”, “Anti-Money Laundering” and “Anti-Fraud” for the period from 08/07/2017 to 08/07/2022. For bibliometric analysis, two datasets with a length of 2,000 observations were formed based on queries in the Scopus database regarding the terms “Cyber Crime” and “Anti-money Laundering”. The results of the dynamic analysis revealed a decrease in the level of interest in fraud and financial fraud since the beginning of 2021, while the trend of cyber fraud is increasing. This led to the conclusion that there was an impact of the pandemic, which caused an increase in cybercrime. The results of the analysis of requests for “Fraud” and “Finance Fraud” by geographical distribution showed that they interested users belonging to countries with a significant difference in economic development. That is, representatives of poor countries are potential cyber fraudsters, and developed countries are potential victims of fraud. Conducting a bibliometric analysis made it possible to obtain clusters of promising areas of scientific research in the field of cybercrimes, among which mathematical and network tools for combating them, general concepts, digitalization and digital forensics, cyber protection, data protection, authentication and encryption of data, etc. are highlighted. At the same time, the focus of research is shifting towards methods of countering cybercrimes. Promising directions in the field of Money Laundering are mathematical methods and information technologies, cryptocurrencies and blockchains, corruption, financial terrorism, etc. The greatest potential belongs to money laundering through cryptocurrencies and blockchains. The lessons learned can be useful for improving the strategy of combating financial and cybercrimes and forming an analytical basis for the scientific community and practitioners.
Ukrainian Holstein cattle DNA polymorphism study
Authors: SHKAVRO NATALIA , KOZUBSKA-SOBOCIŃSKA ANNA , RUBIŚ DOMINIKA , SHKAVRO ALISA , BABICZ MAREK , SHCHERBAK OLENA , ŁUSZCZEWSKA-SIERAKOWSKA IWONA
Published: October 2022

The aim of the research was to evaluate the genetic structure of Ukrainian Holstein cattle (n = 150) of the state enterprise Chayka (Kiev region, Ukraine) on the basis of the analysis of 12 microsatellite DNA loci and 3 QTL genes: k-casein (CSN3), prolactin (PRL), and fatty acid synthase (FASN). A total of 93 allelic variants were identified, and the largest number of alleles were found for TGLA53, TGLA122 and TGLA227 loci, the mean PIC = 0.693, and the heterozygosity index for all loci was 0.7314. The greatest number of effective alleles per locus were found for the BM1824 locus. Based on association analyses, complex genotypes were established for the three genes (CSN3, PRL, FASN). It was found that the AAPRL AACSN3 AAFASN genotype determined the highest milk yield (8351 kg / lactation) and the protein content in milk (3.10%), whereas the AAPRL ABCSN3 GGFASN genotype determined the highest level of fat content in milk (3.80%).
Two-Tier Test : Pengembangan Instrumen Berpikir Kritis Konsep Ekosistem
Authors: Dumayanti Helda , Indriani Risda Putri , Hariyanti Evita Nury , Ristanto Rizhal Hendi , Miarsyah Mieke
Published: October 2022

Pengembangan instrumen two tier test ini digunakan untuk mengetahui keterampilan berpikir kritis ekosistem siswa. Berpikir kritis siswa meliputi interpretasi, analisis, evaluasi, kesimpulan, interpretasi dan regulasi diri. Berpikir kritis diperlukan dalam meningkatkan kualitas pendidikan. Penelitian ini bertujuan untuk menghasilkan instrumen two-tier test yang valid dan reliabel untuk mengetahui keterampilan berpikir kritis materi ekosistem.  Penelitian dan pengembangan dengan menggunakan model pengembangan 4D (Define, Design, Develop, and Disseminate). Instrumen diujikan kepada dua validator ahli dan 35 siswa. Untuk menguji tingkat keberhasilan tes, maka digunakan uji validasi, reliabilitas, dan analisis butir soal. Analisis butir soal yang digunakan adalah tingkat kesulitan soal dan daya beda. Berdasarkan hasil uji coba produk diperoleh 10 soal yang valid dan 5 soal tidak valid. Hasil reliabilitas tes sebesar 0,671 dengan interpretasi bahwa 45% responden menilai instrumen yang dikembangkan dapat dipercaya (reliabel). Selain itu, 10 soal dengan kategori sulit, dan 5 soal kategori sedang. Daya beda soal menunjukkan 1 soal kategori baik sekali, 6 soal kategori baik, 4 soal kategori cukup, dan 4 soal kategori kurang. Sehingga dapat disimpulkan, instrumen two tier test berpikir kritis ekosistem dalam bentuk pilihan ganda yang telah dikembangkan valid dan reliabel.
Augmented Reality Experiential Marketing in Beauty Product: Does it Differ from Other Service Touchpoints
Authors: Windasari Nila Armelia , Santoso Halim Budi
Published: October 2022

Augmented Reality (AR) has gained attention for online retailers as it offers customers higher telepresence and provides a unique customer experience. Using the case of Sephora Virtual Artist, this research aims to understand how AR channels affect customer purchase decisions compared to other channels, particularly in beauty products. Sephora used AR through Sephora Virtual Artist to advance its other customer channels, and we compared it with its traditional websites and offline stores. A survey was conducted on 200 female respondents in Indonesia. This study used partial least squares (PLS) to find that product information and telepresence on AR can positively affect customer purchase decisions. Surprisingly, no significant difference in purchase decisions compared to two other purchase channels, i.e., traditional websites and offline stores. This study highlights that female customer tend to focus more on the products they want to purchase rather than the technology and channel of buying.
Privacy and Data Protection: Indonesian Legal Framework
Authors:   Tilburg University, Warandelaan 2, 5037 AB Tilburg, Holand, Satwiko Brahmantyo Suryo
Published: October 2022

Due to technological advancement, the utilization of internet and mobile connections in Indonesia to perceive rapid growth in recent years. A major development in particular lies within the field of e-commerce, marketplace, and digital portal applications. Extensive advancement within the abovementioned fields led to the involvement of the Indonesian government and private companies in which collecting and processing Indonesian citizens’ personal data took place. Multitude issues relating to data protection regimes arose due to such acts as Indonesian data protection legislations are considered inadequate for their overlapping and vague aspects. These issues obtained numbers of apprehension from the Indonesian government as well as experts within this field with regard to the urgency of having a sufficient data protection law. Plenty of countries have competent data protection laws that have implemented the required elements, for instance, the European Union and Singapore. Accordingly, data protection laws from those countries will play an important role in providing a perfect example for the drafting of an advanced Indonesian data protection law that is uniform and encompassed all required aspects of data protection regimes without neglecting profound deliberation relating to the pitfalls.
Applications of Internet of Things in Telemedicine
Authors: Anitha Kumari K , Sharma Avinash , Subitsha T , Muhil Varsini S , Apoorva D
Published: October 2022

The term ‘telemedicine’ is referred to as healing remotely with the help of
digital technologies by healthcare providers to detect and treat sufferers. Due to
necessary physical distancing and lack of appropriate treatments during the Covid-19
pandemic times, telemedicine has proven to be a secure interactive mechanism between
patients and medical professionals. The telemedicine framework is part of the Internet
of Medical Things (IoMT) since it allows many medical devices to connect and share
data. IoT has a lot of benefits in Telemedicine. It aids doctors in gaining access to vital
data from medical devices, real-time monitoring of patients, assisting sick and elderly
people, and distant medical support. Apart from benefits for patients, it also benefits
hospitals and insurance companies. Moreover, distant monitoring of a patient's
condition tends to shorten hospital stays. It has a huge effect on lowering healthcare
costs and enhancing treatment methods. Many wearable devices, like heart rate
monitoring devices, blood pressure monitoring devices, glucometers, etc., provide a
way to access the patient’s health information. The proposed study revealed different
applications of IoT in healthcare for various diseases and disorders, various medical
sensors, and notable wearable devices in healthcare.
Prediction of Skin lesions (Melanoma) using Convolutional Neural Networks
Authors: Sukheja Deepak , Kiranmayee B V , Sunil Kumar T. , Nayak Malaya , Mishra Durgesh
Published: October 2022

Nowadays, computational technology is given great importance in the health care system to understand the importance of advanced computational technologies. Skin cancer or skin disease (melanoma) has been considered in this chapter. As we know, the detection of skin lesions caused by exposure to UV rays over the human body would be a difficult task for doctors to diagnose in the initial stages due to the low contrast of the affected portion of the body. Early prediction campaigns are expected to diminish the incidence of new instances of melanoma by lessening the populace's openness to sunlight. While beginning phase forecast campaigns have ordinarily been aimed at whole campaigns or the public, regardless of the real dangers of disease among people, most specialists prescribe that melanoma reconnaissance be confined to patients who are in great danger of disease. The test for specialists is the way to characterise a patient's real danger of melanoma since none of the rules, in actuality, throughout the communities offer an approved algorithm through which melanoma risk may be assessed. The main objective of this chapter is to describe the employment of the deep learning (DL) approach to predict melanoma at an early stage. The implemented approach uses a novel hair removal algorithm for preprocessing. The kmeans clustering technique and the CNN architecture are then used to differentiate between normal and abnormal skin lesions. The approach is tested using the ISIC International Skin Imaging Collaboration Archive set, which contains different images of melanoma and non-melanoma.
IoT and Cloud Convergence in Healthcare: An Exploration Analysis
Authors: Patnaik Moushita , Mishra Sushruta
Published: October 2022

IoT and cloud are the fastest growing technologies today. The convergence
of IoT and cloud opens up various new horizons. In the last few years, this convergence
of IoT and cloud architecture has dominated not only the research field but also the
business sector. The compatibility of these two entirely versatile ideas is their ability to
manage the app, user interfaces, and the data stream simultaneously, especially in a
high-performance support structure. But along with the advantages comes some
disadvantages as well. The major concerns in the IoT - cloud convergence are privacy
and security. Therefore, confidentiality must be maintained at all costs. The chapter
discusses some prime benefits of IoT and cloud convergence issues and also the
challenging concerns of those. This chapter discusses the issues concerned with IoT -
cloud convergence and possible solutions to overcome those issues. Later privacy
issues of IoT are presented. Then, a case study denoting a pathology tracking model
using big data analytics is presented in detail. 
The value of mediation for task design and implementation in a US-China virtual exchange
Authors: Fuchs Carolin , Snyder Bill , Tung Bruce
Published: October 2022

The use of Virtual Exchange (VE) to connect Student Teachers (STs) with learners as part of their preparation is an area of growing interest (e.g. Adnan, 2017; Arnold, Ducate, Lomicka, & Lord, 2005; Dooly & Sadler, 2013; Üzüm, Akayoğlu, & Yazan, 2020). There has also been growing interest in issues of task design in VE (Arnold et al., 2005; Dooly & Sadler, 2013; Hampel, 2006, 2010; Hauck, 2010; Kurek & Müller-Hartmann, 2017; O’Dowd & Ware, 2009). This study involved US-based Teaching English for Speakers of Other Languages (TESOL) STs designing tasks for English as a Foreign Language (EFL) learners in China through the mediation of the classroom teacher in China. We explore the following questions: What is the structure of the mediation that took place during three task stages (design, implementation, and evaluation)? What is mediated by the classroom teacher in the process of task design and implementation in this VE? What factors in the design process influence the successful implementation of tasks? Data were collected from email and Google Groups posts by participants. Data analysis, supported by information from participant observer emails and instructor notes, focused on the development of teams’ tasks and feedback. Results showed three major areas of mediation by the EFL teacher: socio-institutional contexts (implementation schedule, access to technology, cultures-of-use), differences in learning purpose (genre, task selection and elements, student interests), and gaps in language proficiency. Revisions to tasks in these areas helped to localize tasks to better meet curricular demands and student interests. Timely mediation was essential to successful task completion. Implications for further research on task design in VE are discussed.
Unexpected affordances of virtual exchange as teacher education: learning about, with, and from students in a conflict country
Authors: Dietrich Sarah E.
Published: October 2022

Virtual exchange projects with participants in countries in conflict can challenge future teachers to examine previous assumptions and prepare them to better meet the needs of others whose daily lives may be punctuated by violence. Through virtual exchange, participants are pushed out of their comfort zones through interactions with others whose geographic, sociocultural, and sociolinguistic backgrounds are different from their own. Through such projects, future teachers can gain both techno-semio-pedagogic knowledge and intercultural knowledge needed to take an asset-based approach toward cultural and linguistic difference. This article explores the perspectives of graduate students in TESOL who were paired with adult learners of English in Afghanistan for ten 90-minute synchronous online tutoring sessions. Data, in the form of written reflections submitted by the graduate students as a part of their coursework, offer evidence of shifts in participants’ descriptions of cultural difference, knowledge about Afghanistan, content knowledge, and teaching online. These data suggest that through virtual exchange with participants in conflict countries future teachers can gain invaluable professional experience needed to support students who live in places where they do not feel safe, students who have been forced to leave their homes, and students have witnessed or experienced violence themselves.
Ecological citizenship in the textbook of Pancasila and Civic Education subjects at secondary level school
Authors: Usmi Rianda , Murdiono Mukhamad
Published: October 2022

This study was conducted to (1) identify the content of ecological citizenship in the Pancasila and Citizenship Education subject textbook and (2) describe the development of ecological citizenship as teaching material in Pancasila and Citizenship Education subjects at the secondary education level. This study used a descriptive qualitative approach with content analysis methods. Data collection was carried out through reading, observing the contents of the book, and taking notes with careful analysis of the ecological citizenship content contained in the textbook. The unit of analysis in this study was the content of ecological citizenship in the form of text, material descriptions, pictures, tables, and student competency test assignments containing material about the environment. The data were analyzed by examining the content on each page of the book, which consisted of several stages which are (1) data collection; (2) recording; (3) reduction; (4) conclusions; (5) description of study results. The results showed that thematically there was no material content that focused and specifically discussed ecological citizenship in the Pancasila and Citizenship Education subject textbook at secondary education. Limited content of the new environment was presented via pictures and short descriptions. The development of ecological citizenship in the Pancasila and Citizenship Education subject was carried out by developing core competencies and basic competencies of Pancasila and Citizenship Education which emphasize the formation of knowledge, skills, character of ecological citizenship competencies
Reflection on the online learning of Pancasila and Citizenship in an international class program
Authors: Rukmini Elisabeth , Artsanti Pedy , Nugraha Arya Susila
Published: October 2022

The main problem of the Pancasila and Citizenship courses is the substance problem which is cognitive domains, and the problem of learning approaches. This research results from active collaboration between universities online with the Pancasila Citizenship learning design for international class students of FTI UII. This research aims to explore the results of online learning Pancasila and Citizenship from student reflections. This goal is to be achieved by analyzing qualitative data on student reflections and analyzing the results of student evaluations of the five-step learning program "To Live Pancasila in Our (Global) Citizenship". Qualitative analysis was carried out through content analysis, while the evaluation results were descriptive responses. The reflections of 24 student respondents were gathered into the categories of Pancasila, Citizenship, Meaningful, and Reflect on the Future. The results of the analysis show that the Pancasila Citizenship course has a novelty in meaning, learning content, and future reflection. The content of learning is about law/regulation, daily life, religious aspects, and tolerance. Furthermore, tolerance breeds respect/appreciation/appreciation. Learning content is conveyed through virtual interactions towards meaningful learning. Future reflection here is related to the learner’s awareness or choice manifested in participation. The learning approach, which is blended learning and flipped material, allows students to understand the material and deposit it in reflection
A shift of political education to the market's needs: A criticism for the development of a value-based political education of Partai Keadilan Sejahtera
Authors: Nasiwan Nasiwan
Published: October 2022

This research aims to understand the shifting of political education at Partai Keadilan Sejahtera (Prosperity and Justice Party (PKS). I employ theory of social contract to analyze phenomena involving the elites and the rest of the Muslims. This research is a study of the literature complemented with an in-depth interview with those who involve in the political education either as the subjects or objects of it. The data, then, were analyzed by means of a method of critical discourse. The political education shifting, partly, is related to the shifting of conception on the relationship between Islam, as normative values, and Indonesia, as the context for its implementation. At first, PKS tends to produce a cadre who has strong characters such as a pious cadre and loyal to the party. Majority of the elite party failed to represent themselves at the Parliament. Then, they develop political education which produces activists who are capable of accommodating Islamic values to the political calculation. At last, PKS follows the market demand of middle class Muslims who aspire to produce the religious and modern young Muslim generation. By so doing, PKS is able to expand its political influence amongst the people, especially the Muslim.
The process and role of the judiciary in election administration dispute resolution in Indonesia
Authors: Kusadarini Eny , Priyanto Anang , Hartini Sri
Published: October 2022

Election administrative violations occur at the time of the implementation of the general election by election organizers and contestants. Sometimes, they do not realize that they have committed a violation. Since the general election during the reformation period after the fall of the New Order in Indonesia, there have been frequent violations of election administration resolved through administrative courts through the State Administrative Court. The dispute resolution was carried out after complaints were made through Bawaslu and DKPP as administrative dispute resolution (ADR) institutions and did not bring results.  This administrative violation is considered detrimental to the candidate contesting the election, causing a dispute between the candidate contesting the election and the organizers of the general election. This article examines the process of resolving electoral administrative disputes in Indonesia and the judiciary's role in resolving electoral administrative disputes. Several examples of cases of election administration violations that occurred and their causes obtained through empirical studies using the technique of documenting judges' decisions that have permanent legal force at the Supreme Court of the Republic of Indonesia were analyzed using inductive logic.
Overview of traditional law in the use of Mayam as mahar in Aceh traditional marriage
Authors: Taufika Ryan , Simaremare Tohap Pandapotan , Chairunnisa Vinda , Nadhira Tengku Syarifah
Published: October 2022

Customary law is the law that regulates individuals or groups that regulate social order and the behavior of life in an indigenous community. This study aims to find out the customary rules regarding the understanding of dowry contained in the Aceh Pidie community and to find out the causes and consequences of increasing the value of the dowry in the mayam count. The method in this study used a descriptive analytical qualitative research method. To answer these questions, the analysis technique used by the researcher is descriptive analysis and uses data collection techniques using observation, documentation, and interviews. The results of the study show that the dowry in Acehnese traditional marriages in Pidie Regency has a negative influence. A prominent factor is where men and women are hampered because of the high demand for dowry which must be adjusted to the changing times regarding the price of gold which is calculated in mayam units. The factors causing the increase in dowry in Acehnese traditional marriages in Pidie Regency are seen in terms of lineage, beauty, and the level of education of prospective women.
Undelivered constitutional justice? Study on how the decisions of the Constitutional Court of the Republic of Indonesia are executed
Authors: Hasani Ismail , Halili Halili , Balakrishnan Vishalache
Published: October 2022

The constitutional design of the institution of the Constitutional Court (MK), as the guardian and the sole interpreter of the Constitution, is to ensure and guarantee the supremacy of the Constitution, constitutional compliance, and to bestow constitutional justice for citizens in the practice of Indonesian administration. However, the reality of the Indonesian state administration shows that there is still disobedience or neglect of the judicial review decision produced by the Constitutional Court. This paper aims to analyze how the Constitutional Court's decision is executed and offer the alternatives to overcome non-compliance with the decision or ensure follow-up on the Constitutional Court's decision in the judicial reviews. This research is normative legal research using a statutory approach, comparison, and conceptual approach. This study's results indicate a constitutional evil in the form of neglect or disobedience to the decision. In that context, institutional improvements that can be adopted are needed to strengthen collective adherence to the supremacy of the Constitution. The three alternatives offered by this article are the amendment of the Constitution, the granting of flexibility to the PUU of the Constitutional Court, and the establishment of a Special Directorate at the Ministry of Law and Human Rights
Executable Library Architecture (XLA): A Knowledge Management Tool for Clinical Concept Computation in Healthcare Operations (Preprint)
Authors: Bernard Cora L. , Trafton Jodie A. , Stephens Rebecca A. , Tamang Suzanne , Martins Susana B.
Published: October 2022

BACKGROUND

Extracting electronic healthcare record data and aggregating them into meaningful clinical concepts requires system-specific knowledge of evolving local coding practices as well as of back-end data warehouses. Common data dictionaries fail to capture the complexities and nuances required to specify and integrate value sets across diverse clinical vocabularies as well as to locate and logically combine those value sets in operations settings.

OBJECTIVE

We required an intelligent and scalable knowledge management system to meet our operational needs in the Veterans Health Administration’s (VHA) Office of Mental Health and Suicide Prevention.

METHODS

We created a SQL-based architecture that systematically encodes and versions value sets, data sources, and concept logic definitions, and, moreover, computes automated, real-time datasets according to those implementation guidelines. Our eXecutable Library Architecture (XLA) seamlessly integrates dataset metadata and code, eliminating the implementation gap between defining and computing complex concepts for consumption in predictive analytics, clinical decision support, and quality and performance measure reporting.

RESULTS

As proof of concept, XLA reproduced the VHA’s Mental Health Master File, a dataset of 105 variables used for mandated Congressional reporting. We extracted patient encounters from two electronic health record (EHR) systems (VistA, Cerner Millennium) across four clinical domains (diagnosis, outpatient treatment type, inpatient treatment type, and procedure) and six code systems (ICD10CM, VistA stopcode, Millennium ActivityType, Millennium EncounterType, PTF, CPT), for a total of 267 million relevant encounters, and aggregated them into complex variables with multiple levels of logic. Compared to previous methods, accuracy was greater than 99% and runtime improved by over 60%.

CONCLUSIONS

Unlike existent frameworks in healthcare knowledge management, which solely address interoperability concerns, XLA can additionally generate and execute code specific to institutional data to support real-time predictive modeling, clinical decision support, and performance and quality measure reporting. Benefits of XLA include definition standardization, re-use, and versioning; automated dataset computation with integrated metadata for transparency; and computational efficiency. Based on XLA’s success generating the VHA Mental Health Master File, the Office of Information & Technology (OIT) is scaling XLA to meet enterprise needs.
Removing Biases in Communication of Severity Assessments of Intimate Partner Violence: Model Development and Evaluation (Preprint)
Authors: Sikstrom Sverker , Dahl Mats , Claesdotter-Knutsson Emma
Published: October 2022

BACKGROUND

To support a victim of violence and establish the correct penalty for the perpetrator, it is crucial to correctly evaluate and communicate the severity of the violence. Recent data have shown these communications to be biased. However, computational language models provide opportunities for automated evaluation of the severity to mitigate the biases.

OBJECTIVE

We investigated whether these biases can be removed with computational algorithms trained to measure the severity of violence described.

METHODS

In phase 1 (P1), participants (N=71) were instructed to write some text and type 5 keywords describing an event where they experienced physical violence and 1 keyword describing an event where they experienced psychological violence in an intimate partner relationship. They were also asked to rate the severity. In phase 2 (P2), another set of participants (N=40) read the texts and rated them for severity of violence on the same scale as in P1. We also quantified the text data to word embeddings. Machine learning was used to train a model to predict the severity ratings.

RESULTS

For physical violence, there was a greater accuracy bias for humans (r2=0.22) compared to the computational model (r2=0.31; t38=–2.37, P=.023). For psychological violence, the accuracy bias was greater for humans (r2=0.058) than for the computational model (r2=0.35; t38=–14.58, P<.001). Participants in P1 experienced psychological violence as more severe (mean 6.46, SD 1.69) than participants rating the same events in P2 (mean 5.84, SD 2.80; t86=–2.22, P=.029<.05), whereas no calibration bias was found for the computational model (t134=1.30, P=.195). However, no calibration bias was found for physical violence for humans between P1 (mean 6.59, SD 1.81) and P2 (mean 7.54, SD 2.62; t86=1.32, P=.19) or for the computational model (t134=0.62, P=.534). There was no difference in the severity ratings between psychological and physical violence in P1. However, the bias (ie, the ratings in P2 minus the ratings in P1) was highly negatively correlated with the severity ratings in P1 (r2=0.29) and in P2 (r2=0.37), whereas the ratings in P1 and P2 were somewhat less correlated (r2=0.11) using the psychological and physical data combined.

CONCLUSIONS

The results show that the computational model mitigates accuracy bias and removes calibration biases. These results suggest that computational models can be used for debiasing the severity evaluations of violence. These findings may have application in a legal context, prioritizing resources in society and how violent events are presented in the media.
Interventions Aimed at Enhancing Health Care Providers’ Behavior Toward the Prescription of Mobile Health Apps: Systematic Review (Preprint)
Authors: Alkhaldi Ohoud , McMillan Brian , Maddah Noha , Ainsworth John
Published: October 2022

BACKGROUND

Mobile health (mHealth) apps have great potential to support the management of chronic conditions. Despite widespread acceptance of mHealth apps by the public, health care providers (HCPs) are reluctant to prescribe or recommend such apps to their patients.

OBJECTIVE

This study aimed to classify and evaluate interventions aimed at encouraging HCPs to prescribe mHealth apps.

METHODS

A systematic literature search was conducted to identify studies published from January 1, 2008, to August 5, 2022, using 4 electronic databases: MEDLINE, Scopus, CINAHL, and PsycINFO. We included studies that evaluated interventions encouraging HCPs to prescribe mHealth apps. Two review authors independently assessed the eligibility of the studies. The “National Institute of Health’s quality assessment tool for before-and-after (pretest-posttest design) studies with no control group” and “the mixed methods appraisal tool (MMAT)” were used to assess the methodological quality. Owing to high levels of heterogeneity between interventions, measures of practice change, specialties of HCPs, and modes of delivery, we conducted a qualitative analysis. We adopted the behavior change wheel as a framework for classifying the included interventions according to intervention functions.

RESULTS

In total, 11 studies were included in this review. Most of the studies reported positive findings, with improvements in a number of outcomes, including increased knowledge of mHealth apps among clinicians, improved self-efficacy or confidence in prescribing, and an increased number of mHealth app prescriptions. On the basis of the behavior change wheel, 9 studies reported elements of environmental restructuring such as providing HCPs with lists of apps, technological systems, time, and resources. Furthermore, 9 studies included elements of education, particularly workshops, class lectures, individual sessions with HCPs, videos, or toolkits. Furthermore, training was incorporated in 8 studies using case studies or scenarios or app appraisal tools. Coercion and restriction were not reported in any of the interventions included. The quality of the studies was high in relation to the clarity of aims, interventions, and outcomes but weaker in terms of sample size, power calculations, and duration of follow-up.

CONCLUSIONS

This study identified interventions to encourage app prescriptions by HCPs. Recommendations for future research should consider previously unexplored intervention functions such as restrictions and coercion. The findings of this review can help inform mHealth providers and policy makers regarding the key intervention strategies impacting mHealth prescriptions and assist them in making informed decisions to encourage this adoption.
Analysis of the Problems and Influencing Factors in Dubbing Actors’ Role Shaping
Authors: Deng Zemin , Jiang Linxin
Published: October 2022

In recent years, with the rapid development of the Internet, dubbing has gradually gone out of the loop, and dubbing industry is being known by more and more people. Dubbing products such as radio dramas are also favored by more and more listeners. However, the understanding of dubbing by many dubbing enthusiasts and dubbing actors is only superficial, and the mechanical streamline of character creation does not show the real charm of dubbing performance. According to the basic skills of actors, this paper will discuss the basic skills of dubbing performance, voice makeup, how to shape roles, dubbing mentality and dubbing problems.
Prevalence and Clinical Characteristics of COVID-19 in Frontline Health Care Workers
Authors: Aring Binita Joseph , Gavali Dipali Maganbhai , Kateshiya Pushpa Ramjibhai , Shingala Hitesh Kantilal , Gadhavi Hiral Modhbhai
Published: October 2022

2019 – Coronavirus diseases caused by severe acute respiratory syndrome coronavirus 2. In Gujarat, COVID-19’s first two cases were confirmed in Rajkot and Surat on 19th March 2020. In India to prevent COVID-19 cases from being: “test, track and treat”: For testing, RT-PCR is the gold standard test or frontline testing for the Coronavirus. The most prominent cause of infection in health care workers due to they were directly exposed to unrecognized COVID-19 patients. To determine the Infection rate and also assess the clinical profile of COVID-19 infections in health care workers. Sample collected from 2081 health care workers by universal sampling method during the period from April 2020 to November 2020. Nasopharyngeal and Oro-pharyngeal swabs were collected at the collection center and tested at the Viral Research Diagnostic Laboratory (VRDL), by RT-PCR (Real-Time Polymerase Chain Reaction) Method. During the study period, there were 2081 suspected healthcare workers samples received from 70 Health care workers were positive. We observed 3.36 % Positivity rate, positivity was high in the age group of 20–30 years 64.2%, most common clinical presentation was a fever 82.8%, cough 47.1% and Sore throat 50% and 01 severely infected health care worker died during hospitalization. Health care workers were at a higher risk of COVID-19 infection. So, to protect health care workers routine screening of asymptomatic staff and early identification of staff with potential infection could help to lower the risk. COVID-19 mortality was lower in health care workers.
Phytochemical Analysis and Antibacterial Activities of Kyllinga nemoralis Extracts against the Growth of some Pathogenic Bacteria
Authors: Abd Wahab Noor Zarina , Abd Rahman Amirul Hafizul Aiman
Published: October 2022

This study aimed to screen the phytochemical contents and investigate antibacterial activities of the aqueous and methanolic extracts of Kyllinga nemoralis. Extraction was done using the whole plant of K. nemoralis except the root. The phytochemical screening was carried out on both aqueous and methanolic extracts of K. nemoralis. The aqueous extract showed the presence of saponin and high amount of steroid, while the methanolic extract showed high amount of terpenoid and steroid. The antibacterial activities of K. nemoralis extracts were tested against five Gram positive bacteria (Staphylococcus aureus, methicillin-resistant Staphylococcus aureus (MRSA), Staphylococcus epidermidis, Streptococcus pyogenes, and Bacillus thuringiensis) and four Gram negative bacteria (Escherichia coli, Shigella sonnei, Salmonella Typhi and Klebsiella pneumoniae). K. nemoralis extracts were subjected to testing of their antibacterial activities by the disk diffusion method. Furthermore, the minimum inhibitory concentrations of the extracts were determined. The results indicate that the aqueous extract of K. nemoralis exhibits more antibacterial activities than the methanolic extract. The aqueous extract of K. nemoralis showed efficacy against S. aureus and MRSA while the methanolic extract of K. nemoralis was found to exert antibacterial activity against MRSA. The results proved the potency of K. nemoralis extracts as natural antibacterial and supported the potential of use in the medication of the diseases caused by the tested bacteria.
Credit Card Fraud Detection Using Machine Learning Algorithms
Authors: Banu Muskan , G Prof. Kavitha
Published: October 2022

Abstract: Credit Card Fraud can be defined as a case where a person uses someone else’s credit card for personal reasons while the owner and the card-issuing authorities are unawareof the fact that the card is being used. Credit card frauds are easy and friendly targets. E-commerce and many other online sites have increased the online payment modes, increasing the risk for online frauds. In the era of digitalization, the need to identify credit card frauds is necessary. Fraud detection involves monitoring and analyzing the behaviour of various users to estimate, detect or avoid undesirable behaviour. To identify credit card fraud detection effectively, we need to understand the various technologies, algorithms and types involved in detecting credit card frauds. The algorithm can differentiate transactions which are fraudulent or not. To find fraud, we need to pass dataset and knowledge of the fraudulenttransaction. Algorithms analyze the dataset and classify all transactions. Fraud detection involves monitoring the activitiesof populations of users to estimate, perceive or avoidobjectionable behaviour, which consist of fraud, intrusion, and defaulting. Machine learning algorithms are employed to analyse all the authorized transactions and report the suspicious ones. We have taken an imbalanced dataset of transactions to detect the frauds