bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Education for the Deployment of Artificial Intelligence in Health Care (Preprint)
Authors: Malerbi Fernando Korn , Nakayama Luis Filipe , Gayle Dychiao Robyn , Zago Ribeiro Lucas , Villanueva Cleva , Celi Leo Anthony , Regatieri Caio Vinicius
Published: June 2023

UNSTRUCTURED

Artificial Intelligence (AI) represents a significant milestone in health care's digital transformation. However, traditional health care education and training often lack digital competencies. To promote safe and effective AI implementation, health care professionals must acquire basic knowledge of machine learning and neural networks, critical evaluation of data sets, integration within clinical workflows, bias control, and human-machine interaction in clinical settings. Additionally, they should understand the legal and ethical aspects of digital health care and the impact of AI adoption. Misconceptions and fears about AI systems could jeopardize its real-life implementation. However, there are multiple barriers to promoting electronic health literacy, including time constraints, overburdened curricula, and the shortage of capacitated professionals. To overcome these challenges, partnerships among developers, professional societies, and academia are essential. Integrating specialists from different backgrounds, including data specialists, lawyers, and social scientists, can significantly contribute to combating digital illiteracy and promoting safe AI implementation in health care.
Design and Implementation of a Digitally Enabled Care Pathway to Improve Management of Depression in a Large Health Care System: Protocol for the Implementation of a Patient Care Platform (Preprint)
Authors: Khatib Rasha , McCue Maggie , Blair Chris , Roy Anit , Franco John , Fehnert Ben , King James , Sarkey Sara , Chrones Lambros , Martin Michael , Kabir Christopher , Kemp David E
Published: June 2023

BACKGROUND

Major depressive disorder (MDD) is a serious public health concern worldwide. A treatment approach that incorporates measurement-based care (MBC) and shared decision-making between patients with MDD and their providers may foster patient engagement and improve clinical outcomes. While digital tools such as mobile apps show promise for expanding health interventions, these apps are rarely integrated into clinical practice.

OBJECTIVE

The primary objective of this ongoing study is to determine whether implementation of a digital tool—the Pathway Platform—in primary care improves adherence to MBC practices; here, we present the study methods.

METHODS

This large-scale, real-world implementation study is based on a pilot study of an earlier iteration of a mobile app (the Pathway app) that confirmed the feasibility of using the app in patients with MDD and showed a positive trend in patient engagement in the app arm. In addition, a user-centered design approach that included qualitative assessments from patients and providers was used to improve understanding of the patient journey and care team workflows. User feedback highlighted the need for enhanced features, education modules, and real-time data sharing via integration with the electronic health record. The current iteration of the Platform includes the newest version of the Pathway app, education modules for both patients and providers, and real-time patient-level data sharing with the electronic health record. The study takes place in primary care sites within the Advocate Aurora Health system in Illinois and includes adult patients with MDD who were recently prescribed monotherapy antidepressant medication (defined as a new start, medication switch, or dose change in the past 3 months). Clinical performance and selected patient outcomes will be compared before and after the implementation of the Platform.

RESULTS

Patient recruitment was completed in July 2022, with initial results expected in mid-2023.

CONCLUSIONS

This study will provide useful insights into real-world integration of a digital platform within a large health system. The methods presented here highlight the unique user-centric development of the Pathway Platform, which has resulted in an enhanced digital tool with the potential to foster MBC and shared decision-making, improve patient-provider communication, and ultimately lead to optimized treatment outcomes for patients with MDD.

CLINICALTRIAL

ClinicalTrials.gov NCT04891224; https://clinicaltrials.gov/ct2/show/NCT04891224

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/43788
Convergence in Mobility Data Sets From Apple, Google, and Meta (Preprint)
Authors: Sganzerla Martinez Gustavo , Kelvin David J
Published: June 2023

BACKGROUND

The higher movement of people was one of the variables that contributed to the spread of the infectious agent SARS-CoV-2 during the COVID-19 pandemic. Governments worldwide responded to the virus by implementing measures that would restrict people’s movements, and consequently, the spread of the disease. During the onset of the pandemic, the technology companies Apple, Google, and Meta used their infrastructure to anonymously gather mobility reports from their users.

OBJECTIVE

This study aims to compare mobility data reports collected by Apple, Google, and Meta (formerly Facebook) during the COVID-19 pandemic and a major winter storm in Texas in 2021. We aim to explore the hypothesis that different people exhibit similar mobility trends during dramatic events and to emphasize the importance of this type of data for public health measures. The study also aims to promote evidence for companies to continue releasing mobility trends data, given that all 3 companies have discontinued these services.

METHODS

In this study, we collected mobility data spanning from 2020 to 2022 from 3 major tech companies: Apple, Google, and Meta. Our analysis focused on 58 countries that are common to all 3 databases, enabling us to conduct a comprehensive global-scale analysis. By using the winter storm that occurred in Texas in 20201 as a benchmark, we were able to assess the robustness of the mobility data obtained from the 3 companies and ensure the integrity of our findings.

RESULTS

Our study revealed convergence in the mobility trends observed across different companies during the onset of significant disasters, such as the first year of the COVID-19 pandemic and the winter storm that impacted Texas in 2021. Specifically, we observed strong positive correlations (r=0.96) in the mobility data collected from different tech companies during the first year of the pandemic. Furthermore, our analysis of mobility data during the 2021 winter storm in Texas showed a similar convergence of trends. Additionally, we found that periods of stay-at-home orders were reflected in the data, with record-low mobility and record-high stay-at-home figures.

CONCLUSIONS

Our findings provide valuable insights into the ways in which major disruptive events can impact patterns of human mobility; moreover, the convergence of data across distinct methodologies highlights the potential value of leveraging mobility data from multiple sources for informing public health decision-making. Therefore, we conclude that the use of mobility data is an asset for health authorities to consider during natural disasters, as we determined that the data sets from 3 companies yielded convergent mobility patterns. Comparatively, data obtained from a single source would be limited, and therefore, more difficult to interpret, requiring careful analysis.
Abstracts of the medical forum “Infectious diseases — today’s challenges. Modern aspects of clinical picture, diagnosis, treatment and prevention” (May 25–27, 2023)
Authors: Authors No
Published: June 2023

No abstract
Nghiên cứu nuôi sinh khối tảo Spirulina sp. kết hợp xử lý nước thải sinh hoạt
Authors: Lê Hoàng Việt , Kim Lavane , Nguyễn Võ Châu Ngân
Published: June 2023

Nghiên cứu được tiến hành trên mô hình bể thâm canh tảo Spirulina sp. với mục đích xác định khả năng sử dụng nước thải sinh hoạt để sản xuất sinh khối tảo, đồng thời đánh giá hiệu quả xử lý nước thải sinh hoạt. Các thí nghiệm được tiến hành ở quy mô phòng thí nghiệm trên hai mô hình bể thâm canh tảo có bổ sung HCO3- và không bổ sung HCO3-. Kết quả cho thấy ở thời gian lưu nước 1,5 ngày, tải nạp nước 2.000 m3.ha-1.ngày-1 và tải nạp chất hữu cơ 343 kg.ha-1.ngày-1; bể có bổ sung HCO3- cho sinh khối tảo cao hơn bể không bổ sung HCO3- (258 và 178 kg.ha-1.ngày-1) và khác biệt có ý nghĩa. Về hiệu suất xử lý, nước thải qua hai bể thâm canh tảo đều đạt cột A của QCVN 14:2008/BTNMT và QCVN 40:2011/BTNMT và không khác biệt có ý nghĩa giữa hai bể.
Environmental and Economic Values of salt tolerance. Euphorbia tirucalli: Phytoremediation potentia
Authors: Gaspar Sandra Ávila , G. Musmanno Patrícia , M. Bellizzi Gabriela , R. Kathar Krisna , T. Varricchio Marcos , Varricchio Marcia C.B.N. , S. Pyrrho Alexandre dos , S. T. Brioso Paulo , Silva Simone da
Published: June 2023

Halophytes, such as Euphorbia tirucalli, are used for medicinal and economic purposes, as well as for the recovery of degraded environments through bioremediation or phytoremediation. In parallel, Vigna unguiculata, which also has high tolerance to saline environments, has high nutritional value generating economic interest. Furthermore, biofuel production can be reduced in cost and complexity if we use plant raw material that can grow in salinized and poor soils. The reduction of arable land, due to increased soil salinization and the depletion of freshwater resources, poses a threat to agricultural production. In this work we aimed to evaluate the saline stress in V. unguiculata seeds generated from the chemical elicitation of E. tirucalli and the solution of Spongia tosta 10DH. In the first experiment, we cultivated V. unguiculata in water with 10% solutions obtained from aerial parts of E.tirucalli from the coast of Rio de Janeiro. In the second experiment, we cultivated V. unguiculata, which were treated with E. tirucalli hormetic solution - 5H from Seropedica/RJ and Spongia tosta 10DH solution. In all experiments there was inhibition of germination associated to seed engorgement. In our tests, therefore, the evaluated extracts suggested that also will be able to act as phytoremediation agents, via desalination through the Na++/K+ pump mechanism. From our essays, observations and reasoned discussion, we postulate the hypothesis that E. tirucalli can act in filtering gardens of environmental pollutants by this way. Novel ecophysiological investigations will be carried out.
Generative Data Augmentation and ARMD Classification
Authors: Bhavani N. Sree , Reddy G. Narendra Babu , Devi Y Sravani , Bhavani M. , Reddy P. Chandana , Reddy V. Abhignya
Published: June 2023

Abstract: Age Related Macular Degeneration (ARMD) is a type of eye disease which normally have an effect on the central vision of a person. This Disease might sometimes lead to permanent vision loss for some people. It affects the people over the age of 50. So, basically there are 2 different types of ARMD i.e., Dry and Wet. Dry ARMD will generate a tiny amount of protein deposits called drusen, whereas Wet ARMD occurs whenever any abnormal blood vessel is developed under the retina, so sometimes this blood vessels might leak blood fluid, this type of ARMD is very severe and can even lead to permanent central vision loss. Therefore, it is necessary for early detection of the disease. Generative Data Augmentation for ARMD Classification is deep learning based which uses Convolutional Neural Network (CNN) model for generating images to accurately identify the disease. Deep Learning Diagnostic models require expertly graded images from extensive data sets obtained in large scale clinical trials which may not exist. Therefore, (Generative Adversarial Networks) GAN-based generative data augmentation method called Style GAN is used for generating the images. Generative deep learning techniques is used to synthesize new large datasets of artificial retinal images from different stages of ARMD using the images from the already existing datasets. The performance of ARMD diagnostic DCNNs will be trained on the combination of both real and synthetic datasets. Images obtained by using GAN appear to be realistic, and increase the accuracy of the model. It then continues with classifying the retinal images into one of the three classes i.e., dry, wet or normal using CNN model. It also compares the accuracy against the model with traditional augmentation techniques, towards improving the performance of real-world ARMD classification tasks.
Malware Detection and Prediction System Using Advanced Machine Learning Algorithms
Authors: Rajesh T. , Divya K. , Firdouse Shaista , Areeb Sharia , Thakur Navya
Published: June 2023

Abstract: Given how many websites are now disseminating malware, malicious software is one of the biggest hazards in today's digital environment. Computer systems connected to the Internet increasingly require malware analysis and protection techniques. Without the user's knowledge, malicious software takes advantage of system flaws to steal important data and covertly send it to distant servers under the control of attackers. Static or dynamic analysis methods are used to analyse malware. These methods categorise and forecast distinctive patterns to effectively detect malware. Software assaults have the potential to corrupt or harm devices, compromise entire systems, steal information, change data, and deny service. The detection and prediction system is implemented as a user-friendly website with a variety of admin and user-facing modules. The file that requires detection and prediction can be uploaded by the admin user. If there are any API calls used in the file with malware purpose, the system will examine them. This API can provide security dangers to the computer because it was designed with malware in mind; as a result, it must be found and immediately removed to prevent security difficulties. The system that was built can determine the sort of malware that is encoded in the file and can assist users in determining the threat that such malware may pose to their computer.
Automatic Traffic Sign Detection and Classification
Authors: Madhuri P. , Madhavi G.
Published: June 2023

Abstract: Automatic detection and recognition of road traffic signs is an essential task for regulating the traffic, guiding, and warning the drivers and pedestrians. M a n y challenges like cluttered background, foreground scenery, various geographic, metrological, weather conditions namely cloudy day, rain, snow, fog, changeable and uncontrollable lighting conditions depending on the time of the day exhibits the detection of road signs. The traffic sign may have different sizes and colors. Our goal is to detect the traffic signs with red, blue, yellow colors with any of the available shapes. Then the detected signs, combined with the color and shape information are classified. The recognition of Traffic sign involves two stages: detection stage, it finds the region consisting of traffic signs from the image and then the classification stage where the detected signs are categorized into different classes like information, warning, prohibition and so on. The image is acquired and is processed in CSR block, in which the base features from the image are extricated. The base features extricated from the image are color, shape, and Region of Interest (ROI) position. This pre-processing is very quick, because no special transformation is required. RGB and HSV color space is chosen for color segmentation. By extracting the color, CSR block creates 3 binary maps (red, blue, and yellow). From these binary maps, the shape of the traffic sign is detected. From the image the ROI is segmented, which is the input to the shape detecting block. After the shape is detected, traffic sign is classified according to its detected color and shape.
Regression Modeling Approaches for Red Wine Quality Prediction: Individual and Ensemble
Authors: K Amrutha
Published: June 2023

Abstract: This paper aims to compare the performance of several regression models and a combination of regression and ensemble models in predicting the quality of red wine using the wine quality dataset from the UCI Machine Learning Repository. The dataset consists of white and red vinho verde wines from northern Portugal, with 6,497 samples. Before training the models, the dataset undergoes appropriate preprocessing steps to ensure data quality and consistency. Five re-gression algorithms, namely Linear Regression (LR), Random Forest Regressor (RF), Support Vector Regression (SVR), Decision Tree Regressor (DT), and Multi-layer Perceptron Regressor (MLP) are trained and tested on the dataset. Additionally, the predictions of these individual regression models are combined with four ensemble models: XGBRegressor (XGB), AdaBoostRegressor (ABR), BaggingRegressor (BR), and GradientBoostingRegressor (GRB). The results indicate that among the individual models, Random Forest (RF) performs the best, exhibiting the lowest MAE, MSE, and RMSE values and the highest R2 score. This suggests that RF better fits the red wine quality dataset compared to the other regression models. However, the combination of Random For-est with Bagging Regressor (RF and BR) outperforms the individual models, demonstrating lower errors and a relatively higher R2 score.
Современные способы тушения литий-ионных аккумуляторов. Часть 3
Authors: Харламенков А. С.
Published: June 2023

Представлены статистические данные, отражающие состояние парка электромобилей в России. Проведено обобщение основных характеристик аккумуляторных блоков наиболее популярных моделей электро­мобилей в стране. Выполнен анализ существующих мер по обеспечению безопасной эксплуатации тяговых аккумуляторных батарей, снижающих опасность их механического повреждения и теплового разгона. Рассмотрены результаты отдельных зарубежных публикаций по моделированию горения и натурным огневым испытаниям электромобилей в помещениях и открытых пространствах. Даны рекомендации по разработке необходимых мероприятий по организации тушения пожаров с участием электромобилей.
ANALISIS KUANTITAS DAN KUALITAS TENAGA KERJA PERBANKAN SYARIAH YANG TERDAMPAK DISRUPSI DIGITAL
Authors: Melinda Lestari Nur
Published: June 2023

The challenge for the industrial era 4.0 towards the industrial era 5.0 which is felt by humans is the loss of many skills that are usually carried out by humans who are transferred to technology. The transformation of banking services due to technological disruptions felt by the banking world, conventional services that have been carried out face-to-face have been replaced by technology, business activities and banking products can be said to be disrupted by the emergence of various finances. technology platforms, especially those engaged in P2P Lending and Payment. This can threaten human resources in the banking world if there is no solution and adaptive action taken by the bank so that banking human resources will still have a place according to their level of expertise. Interpreting from primary and secondary data sources, the result is that there has been a significant decrease in the quantity of banking human resources, but simultaneously the bank is reskilling to improve the quality of human resources to be ready to face changes in banking services. towards an excellent service digital banking system that still adheres to the principle of prudence.

Keywords: Digital Services, Challenges of Islamic Banking
ANALISIS PENILAIAN DAN TANGGAPAN ALUMNI PERBANKAN SYARIAH PERIODE 2016-2018
Authors: Melinda Lestari Nur , Yeni Fatma
Published: June 2023

The tracer study is a tracing study conducted for alumni of the Islamic Banking Department of the Islamic Faculty of UHAMKA who graduated in 2016, 2017, and 2018. Tracer Study is an important part of the existence of universities, especially the Sharia Banking study program in an effort to examine the links and matches of graduate quality in the world of work especially in Islamic banking financial institutions and non-banking Islamic financial institutions with learning services that have been provided during the study period in the Sharia Banking study program. The implementation of tracer studies in tertiary institutions is focused on tracking graduates in order to get feedback from the education/learning processes and services that have been carried out, both to alumni and users of graduates in society (stakeholders). Periodically, the UHAMKA Islamic Banking Study Program conducts a Tracer Study with the aim of improving the quality of learning services based on feedback from alumni and graduate users through this Tracer Study. The Tracer Study of the UHAMKA Islamic Banking Study Program was carried out for graduates in 2016, 2017, and 2018 starting from June to November 2020. The Tracer Study conducted at the UHAMKA Sharia Banking Study Program used the survey method for alumni who graduated two years ago and to the users. In-depth interviews were conducted with several alumni and selected graduate users to strengthen the findings of the tracer study for improving learning services in the UHAMKA Islamic Banking Study Program. The results show that the learning system implemented by the Sharia Banking Study Program can be said to be successful, it's just that the introduction of Al-Islam and Muhammadiyah has to be raised in the future. Data mining was carried out on an IT-based basis in order to reach all the targets of the Tracer Study targets.

Keywords: Tracer Study, Islamic Banking, UHAMKA
RIBA, PERBANKAN SYARIAH, DAN INVESTASI SECARA ISLAMI DI KALANGAN REMAJA
Authors: Marfianti Azzahra Dinar , Hasan Asyari , Akhmad Nadzar Ghabrield , Ilham Kurniawan Muhammad , Andrian Aji Baskoro Raditya , Aqilah Putera Deza Raihan , Adriana Irmadela Redita
Published: June 2023

The research objective is to look at adolescents'opinion about usury, interest in saving in Islamic banks and investing in Islamic methods. One of the factors affecting economic development in Indonesia is the increase or decrease in interest rates. By using e-view software, the approach used in this study is a qualitative approach using descriptive analysis. The result of this research show that riba is an addition, but this addition creates injustice, this is explained from various sources including Alquran. Islamic financial institutions have a very important role of regulating the Islamic financial system, the principles on this matter are based on the Qur'an and the Sunnah of the Prophet.

Keywords: Interest Money; Usury; Investment; Islamic Financial; Islamic Economy; Islamic Institution in Indonesia
ANALISIS PENGELOLAAN DANA ZAKAT FITRAH SEBAGAI PEMBERDAYAAN EKONOMI UMAT
Authors: Dwi Lestari Novieati , Novita Syafitri Mega , Tishwanah Nuris , Manna Silviyah Nur
Published: June 2023

Zakat is one of the fifth pillars of Islam and zakat is divided into two, namely zakat fitrah and zakat mal. Whereas Zakat fitrah is zakat issued by muzakki in the form of staple foodstuffs in accordance with the provisions, while zakat mal is zakat issued by muzakki in the form of goods or objects in accordance with the provisions and nishab. The purpose of writing this article is to determine the analysis of the management of zakat fitrah funds as an economic empowerment of the people. The research method used in writing this article is a qualitative research method, which is a method based on natural facts. The approach used is a descriptive approach that tends towards analysis by explaining what it is according to the data obtained.

Keyword : Zakat Fitrah, Management Analysis, Community Economy
ANALISIS PENGELOLAAN KEUANGAN MASJID FATIMAH AT-TUWAIJIRY BEKASI
Authors: Yeni Fatma , Susanto Eko , Fadhli Sultani Zul
Published: June 2023

The mosque is a place of worship for the Muslim community. Apart from being a place to pray, mosques are also often used as a place to hold religious activities and other social activities such as TPA, breaking fast together, qurban, management meetings, and taklim majlis. Because of the many positive and religious activities that can be held in a mosque, this can be a trigger for the enthusiasm of the mosque congregation, the society or donors to support activities carried out by setting aside some of their assets by providing assistance in the form of money, food. and other forms. Every mosque congregation, the general public or donors who have submitted the assistance that has been distributed, of course, wants what has been submitted to the mosque management to be allocated to things that are useful and in accordance with what they have been entrusted with. Therefore, all parties with an interest in the accountability report for the management of mosque funds expect that they will receive a report whether directly announced every Friday or indirectly, such as a list of receipts and expenditures of funds that is displayed on the mosque wall. The management and financial reporting carried out in each mosque of course have their own differences or characteristics. For example, what happened to one of the mosques in Yogyakarta where the cash owned by the mosque in question always had a zero balance. This is considered very good because any funds that flow to the mosque are always distributed to things that bring benefits to the surrounding community, such as providing boxed rice every Friday and other activities. This study intends to examine how the form of financial management and reporting is carried out by the Fatimah At-Tuwaijiry mosque in Bekasi so that the transparency of its financial reports can be a means of accountability in managing finances mandated by the congregation, the society or donors. The research method used in this study is a qualitative descriptive method, which aims to analyze and provide an overview of the financial reporting and management of the Fatimah At-Tuwaijiry Mosque Bekasi. Data collection techniques were carried out in the form of interviews, observations, and documentation. The results of the study indicate that financial management has been carried out well, this can be seen from the many activities carried out such as holding iftar activities, distributing basic necessities.

Keywords: Management, Reporting, Mosque Finance
INTEGRASI PASAR MODAL ISLAM: STUDI DI LIMA NEGARA ASEAN DAN DJIA
Authors: Al Faridho Awwal Muhammad , Eviyanah Ita , Qoyum Abdul
Published: June 2023

This study aims to determine the short- and long-term relationship between the Islamic capital market in Southeast Asia and the DJIA. This study takes data from the Islamic capital markets of ASEAN-5 countries, namely the Jakarta Islamic Index (JII), FTSE Malaysia, FTSE SET Sharia Thailand, FTSE SGX Sharia Singapore and MSCI Philippines and DJIA. A total of 211 weekly observations of each index were observed from 04 January 2015, to 03 February 2019. Author have found that the Islamic capital market is integrated in all ASEAN-5 countries including the DJIA. This study also finds that the Malaysian Islamic capital market and DJIA have the most influence on the ASEAN-5 Islamic capital market, as shown by the VDC test.

Keywords; ASEAN, DJIA, Capital Market
PENGARUH MARKETING MIX DAN DIGITAL BANKING TERHADAP KEPUASAN NASABAH PADA BANK SYARIAH INDONESIA CABANG PEKALONGAN PEMUDA DI MASA PANDEMI
Authors: Kustinah Mochamad Yusuf , Taufik Abadi Muhammad , Asytuti Rinda
Published: June 2023

Bank Syariah Indonesia has a growing number of customers every year. The increase in customers is not matched by the quality of service in the form of customer satisfaction. Customer satisfaction is still an obstacle to maximizing Islamic banks' profits. This study aims to examine the effect of marketing mix and digital banking on customer satisfaction at Bank Syariah Indonesia Pekalongan Pemuda Branch during the pandemic. The sample used was 99 respondents from a population of 17,261. The sample uses an accidental sampling technique. The method uses a questionnaire. Instrument testing, classical assumption analysis, multiple linear regression analysis, and hypothesis testing were used to analyze the data. The results of the analysis conducted on customer satisfaction at Bank Syariah Indonesia Pekalongan Pemuda Branch during the pandemic, namely how digital banking variables affect customer satisfaction, However, the marketing mix has no effect on customer satisfaction.

Keywords: Marketing Mix, Digital Banking, Customer Satisfaction
THE EFFECT OF FINANCIAL LITERACY, TECHNOLOGY LITERACY, AND LYFESTYLE ON THE USE OF ELECTRONIC MONEY (CASE STUDY OF ISLAMIC BANKING STUDENTS IN JAKARTA)
Authors: Gultom Mitra Sami , Latif Ainul
Published: June 2023

Penelitian ini bertujuan untuk mengetahui pengaruh Financial Literacy, Technology Literacy dan Lifestyleterhadap Penggunaan Uang Elektronik pada Mahasiswa Perbankan Syariah di Jakarta. Jenis penelitian ini adalah pendekatan kuantitatif dengan menggunakan teknik deskriptif. Metode yang digunakan dalam penelitian ini adalah menyebarkan kuesioner kepada 91 mahasiswa yang mengikuti kursus perbankan syariah di Jakarta yang menggunakan uang elektronik. Selanjutnya, metode non-probability sampling dan purposive sampling diterapkan untuk menghasilkan data. Pengolahan data kemudian dihitung dengan SPSS 25 dan Microsoft Excel. Analisis data menggunakan Analisis Regresi Linier Berganda. Hasil penelitian ini menunjukkan bahwa literasi keuangan, literasi teknologi dan gaya hidup secara simultan berpengaruh positif dan signifikan terhadap penggunaan uang elektronik. Uji secara parsial menunjukkan bahwa variabel literasi keuangan (X1) tidak berpengaruh signifikan terhadap penggunaan uang elektronik (Y), sedangkan variabel literasi teknologi (X2) berpengaruh positif dan signifikan terhadap penggunaan uang elektronik (Y), dan variabel gaya hidup (X3) berpengaruh positif dan signifikan terhadap penggunaan uang elektronik (Y).
Keywords: Literasi Keuangan, Literasi Teknologi, Gaya Hidup, Uang Elektronik.
OPTIMIZING PRODUCTIVE WAQF EMPOWERMENT ON THE DEVELOPMENT OF SUSTAINABLE HALAL TOURISM IN INDONESIA
Authors: Author Nailul , Dwi L Risma Savhira , Sukmana Raditya , Abduh Muhamad
Published: June 2023

One of the Islamic social financial instruments is waqf, which contributes to the welfare of the community by retaining the principal of waqf and providing the proceeds to people in need. Waqf when integrated with the tourism sector can improve the community's economy and support the creation of Halal tourism destinations. This research aims to explain the contribution of productive waqf to be optimal in the development of sustainable Halal tourism. This research uses descriptive qualitative method. Waqf management is allowed with any mechanism that does not violate Islamic law. The stages of productive waqf management to be more efficient are to design in detail the goals or objectives of the project to be carried out, then realize the project, and conduct regular monitoring so that the project can run sustainably. The integration of productive waqf with the tourism sector is not only to increase the contribution in the economic aspect, but also to educate the public about the ease of waqf. To optimize the integration of productive waqf in Halal tourism, the government and stakeholders must work together, while also continuing to improve the quality of human resources in terms of management so that it becomes sustainable. Then an optimal branding and marketing strategy is carried out.
Representasi Tokoh dalam Syair Ken Tambuhan
Authors: Hikmawaty Hikmawaty
Published: June 2023

Syair Ken Tambuhan merupakan salah satu naskah kuno berbahasa Melayu yang populer karena kisah cinta Ken Tambuhan dan Raden Menteri yang romantis. Dilatarbelakangi karena syair ini memiliki alur cerita yang menarik, tokoh menjadi salah satu unsur pembangun yang penting. Maka penelitian ini bertujuan untuk menggambarkan tokoh dalam Syair Ken Tambuhan. Penelitian ini menggunakan metode deskriptif kualitatif dengan  teori representasi sastra dan pendekatan obyektif menurut Abrams. Tokoh yang diteliti dalam Syair Ken Tambuhan ialah Ken Tambuhan, Raden Menteri, Permaisuri, dan Raja Kuripan. Setiap tokoh memiliki penggambaran yang berbeda sehingga pada penelitian ini tokoh-tokoh tersebut digambarkan. Hasil dari penelitian ini adalah bahwa Syair Ken Tambuhan memiliki 184 halaman tetapi hanya 174 yang terisi. Syair tersebut memiliki beberapa tokoh dengan penggambaran yang variatif, di antaranya: Ken Tambuhan, seorang gadis cantik yang berusia 14 tahun; Raden Menteri, pria berusia 17 tahun yang menawan; Raja Kuripan, seorang raja sekaligus ayah yang baik; dan Permasuri yang memiliki penokohan antagonis karena kejahatannya.
Mathematical Modeling as a Aspect for Designing Agricultural Machines and Units (Development History Of Southern Urals Scientific School)
Authors: Tsench Yu. S. , Godlevskaya E. V.
Published: June 2023

This research paper examines the findings presented in the doctoral and PhD theses from the Southern Urals scientific school specifically focusing on the design process of tillage machines and units through the application of mathematical modeling. (Research purpose) The objective of the study is to identify the patterns in designing tillage machines and units and, based on these patterns forecast their potential enhancements using mathematical modeling. (Materials and methods) The paper analyses the creation of mathematical models based on field tests of tillage machine under diverse soil and climatic conditions emphasizing the authors’ optimal design and upgrade decisions (Results and discussion) The research reveals that the design process of soil-cultivating machines progressed through such stages as: empirical design, computational experimentation and the use of computer-aided design. The evolutionary development of research tools demonstrates a gradual convergence between the mathematical models and the actual working conditions of tillage machines and units. Consequently, this enables the improvement and substantiation of tillage machine parameters to meet specific quality criteria for the tillage process, as well as the development of adaptable crop cultivation technologies applicable to various regions’ soil and climatic conditions. (Conclusions) The study concludes that to enhance the performance of tillage machines and units and achieve the desired quality parameters, further research should focus on machine computer-aided design, including the design of vibratory working bodies, utilization of compressed air and electromagnetic fields, creation of highly automated soil-cultivating machines capable of adjusting to specified working conditions, and development of remote control systems for managing tillage and sowing machine operations.
The Development of Microsoft Powerpoint-Assisted Worksheet to Increase Studentsâ€™ Mathematical Problem Solving Ability
Authors: Yuniar Rizky , Hendriana Heris , Kurniawan R , Yuliani Anik
Published: June 2023

SMP Al-amin is a private school located in the district of Kandanghaur - Indramayu. The learning resources provided by the Government only provide books for teachers and do not provide worksheet to students. Therefore the researcher wants to make PowerPoint-assisted worksheets to increase enthusiasm, student interest in learning, and student motivation while studying. The purpose of this research is to produce student worksheets assisted by Microsoft PowerPoint. The research method used is research and development (R&D) and the ADDIE learning design. The stages of the ADDIE development model are as follows: analysis, design, development, implementation, and evaluation. The subjects of this study were class VIII students of SMP Al-Amin Kandanghaur. the instruments used were feasibility analysis, student response questionnaires, and teacher response questionnaires. Based on the research findings, the PowerPoint-assisted worksheet was declared "feasible" with a feasibility value of 80%. In addition, the student and teacher response questionnaire rates were 79%, indicating that these PowerPoint-assisted worksheets are "handy". Thus it can be concluded that the use of PowerPoint-assisted WORKSHEET in the two-variable linear equation system (SPLDV) subject can be said to be a safe, practical, and effective learning mediumkeywords.
Studentâ€™s Response to Mathematics Learning in Probability Materials
Authors: Nurhidayat Febriyandi , Aripin Usman
Published: June 2023

Most people, especially the subjects that are very disliked learning mathematics because mathematics is famous for being difficult and boring. This happens because especially the demonstration techniques used by educators cannot benefit and influence the understanding of science. This study uses an approach to finding a substitute model for learning mathematics on the subject of probability. The procedure in this research is divided into three stages, namely: (1) the preparation phase (2) the implementation phase (3) and the opening phase. This study aims to determine students' reactions to learning mathematics on the subject of probability. In addition, respondents completed a poll of 10 questions with 4 possible answers, specifically SS (Strongly Agree), S (Agree), TS (Disagree), and STS (Strongly Disagree). From the results of this study, it can be said that the student's response to learning mathematics in the subject of opportunity received a strong and positive response. Opinion questionnaires can be developed more deeply and supplemented by additional meetings thoroughly.
The Implementation of Understanding by Design Approach in Mathematics Learning on Elementary School
Authors: Pramesti Nadhira , Dewi Laksmi
Published: June 2023

This research is motivated by the lack of understanding of students in learning. Understanding by Design (UbD) can be implemented in the planning and implementation of learning to overcome these problems. Such as learning that is only focused on the teacher, the lack of involvement of students in the learning process so that students are less able to build their own understanding concepts. The purpose of this study is to determine the implementation of Understanding by Design in planning and implementing mathematic learning. In this reseach using the Systematic Literature Review method by collecting around 50 journal articles relevant to the research which were then re-selected. Understanding by Design (UbD) emphasizes understanding of students, in the process UbD uses a backwards design where the first thing to do is to determine what results are expected, then determine acceptable evidence, then in the last stage arrange steps in learning activities according to needs and learning objectives. Based on literature studies that have been carried out using a number of articles that are relevant to research and have gone through a re-selection process, the implementation of Understanding by Design (UbD) in learning is proven to increase students' mathematic understanding because in this learning students are actively involved so that learning is not teacher centered and this design can be an alternative learning design to improve the quality of education.
The study of factors that impact life insurance decision of individuals
Authors: Shabani Arburim , Hashani Medain
Published: June 2023

The life insurance industry is a new field in the Kosovo market, which has shown rapid development in the last two decades. The purpose of this study is to find the main factor which impacts individuals in Kosovo in the decision to purchase a life insurance policy. This research was done in two different periods, one in 2009 and the other in 2021, using the same research methodology and aiming to compare the results of the two time periods. The first part of the research was carried out in 2009 and lasted about three months, while the second was in the last two months of 2021. Data are collected through a survey using a questionnaire designed for the study. Data analysis has shown that benefits from disability insurance are a crucial factor for life insurance. Ranjan et al. (2020) say that with increased competition, the life insurance industry has adopted innovative practices to capture a larger market; therefore, companies are developing their capabilities for penetration, distribution, and sales based on access to customers. Life insurance companies and their agents will benefit from the results of this survey, which will serve as a tool for contributing to the development of the life insurance industry in Kosovo.
A Clinical Review of Patients Who Visited Emergency Medical Center with Positive Methamphetamine Tests: A Single Institute Study
Authors: Ok Young Bin , Kim Jin Yong , Lee Kyeong Ryong , Hong Dae Young , Baek Kwang Je , Park Sang O , Kim Jong Won , Kim Sin Young
Published: June 2023

Purpose: Methamphetamine is an ongoing illegal drug problem worldwide, and its use in South Korea has spread over the last few years. In this study, a clinical review of patients who visited emergency medical centers with positive methamphetamine tests was conducted. Methods: Patients underwent methamphetamine screening based on physician suspicion over a period of 13 years. Their patient characteristics, clinical features, and drug administration properties were described. Results: A total of 297 patients were included, with 19 positive methamphetamine results. Patient age ranged from 21 to 84, with a mean of 37.52. Additionally, 13 were male and 6 were female. The mean BP, PR, RR were 131/82 mmHg, 94/min, 20/min. Saturation levels were all over 95%. Five patients had a psychiatric history. Patient showed varied symptoms ranging from mental changes to chest discomfort. In addition, seven showed abnormal electrocardiography findings and one showed elevated cardiac enzyme levels. Other laboratory results revealed no significantly abnormal results. Six patients also suffered from related trauma. The majority of patients consumed the methamphetamine orally, with unknown motivation at unknown locations. Most were transported by 119 and six patients co-ingested other drugs. Conclusion: Patients who showed positive results to a methamphetamine screening test in Korea visited the emergency medical center mostly by 119 and were unaware of or reluctant to reveal the fact that they had ingested methamphetamine. Emergency physicians should be more aware of the possibility that a patient may have consumed methamphetamine.
Sex-specific effects of inbreeding in juvenile brown trout
Authors: Bylemans Jonas , Cunha Lucas Marques da , Cabello Sonia Sarmiento , Nusbaumer David , Uppal Anshu , Wedekind Claus
Published: June 2023

Inbreeding depression, i.e., the reduction of health and vigour in
individuals with high inbreeding coefficients, is expected to increase
with environmental, social, or physiological stress. Differences in the
strength of sexual selection are therefore predicted to usually lead to
higher inbreeding depression in males than in females. However,
sex-specific differences in life history may reverse that pattern during
certain developmental stages. In salmonids, for example, female
juveniles start developing their gonads earlier than males who instead
grow faster during that time. We tested whether the sexes are
differently affected by inbreeding during that time. To study the
effects of inbreeding coefficients that may be typical for natural
populations of brown trout (Salmo trutta), and also to control for
potentially confounding maternal or paternal effects, we sampled males
and females from the wild, used their gametes in a block-wise breeding
design to produce 60 full-sib families, released the offspring as
yolk-sac larvae into the wild, caught them back 6 months later,
identified their genetic sex, and used microsatellites to assign them to
their parents. We calculated the average inbreeding coefficient per
family based on a panel of >1 million SNPs. Juvenile growth
could be predicted from these inbreeding coefficients and the genetic
sex: Females grew slower with increasing inbreeding coefficient, while
no such link could be found in males. This sex-specific inbreeding
depression led to the overall pattern that females grew on average
slower than males during the time of gonad formation.
Research on the Application of Conductive Polypyrrole in Actuators
Authors: Liu Shuangjie , Li Xingwang , Hao Yongping , Liu Fengli , Ye Jintao
Published: June 2023

Conductive polypyrrole is a kind of conductive polymer, which belongs to
composite intelligent driving materials. The actuator based on Ppy has
the advantages of low driving voltage, large output displacement, high
flexibility, and so on, and has broad application in the field of bionic
robots and micro actuators. It is essential to know the actuator‘s
behavior from experiments. In this paper, the application of conductive
Polypyrrole in actuators was researched and simulated. Single PPy
actuator was tested by loading different numbers of magnet balls. The
test results showed that the output force of the single conductive
polypyrrole is greater than 0.4712mN. In order to improve its
application ability, a four-claw gripper that integrates four PPy
actuators was designed and tested, the experiment shows that the output
force of the gripper is greater than 0.298mN.
Resettling Urban Populations: Learning from the Graduation Approach in India
Authors: Barba Ricardo Carlos , Majumder Sourav , Rawal Palak , Belliappa Saswati Ghosh
Published: June 2023

The integration of the Graduation Approach in resettlement planning and implementation under the Tamil Nadu Inclusive, Resilient, and Sustainable Housing for Urban Poor Sector Project presents a unique model for large-scale resettlement. The Graduation approach is a combination of sequenced interventions aimed to lift households out of poverty and into sustainable livelihoods. This working paper explains the contextualized design of the Graduation program for the project, its envisaged impact, lessons learned at the design phase, and recommendations for other projects involving large scale resettlement and provides a model for future resettlement planning across the region.
Impact of Digitalizing Healthcare Business Operations on Cybersecurity Landscape
Authors:   Washington University of Science and Technology, Vienna, VA, 22182, USA, Yamcharoen P , Folorunsho O.S , Bayewu A , Ojo T.P
Published: June 2023

The technological evolution and digitalization of business operations contributed to healthcare organizations' constantly changing cybersecurity landscape. It is compulsory and mandated by the covered entities to fully comply with the industry regulatory standards, procedures, laws, and guidelines. The compliance officer must pay attention to the change in the business operations and the laws governing the organization's business operation. Developing an automated cybersecurity team that will track the change in the cybersecurity landscape of healthcare businesses as the business operations move toward digitalization and adoption of artificial intelligence-driven solutions. Adopting AI as a defensive measure requires an organization to monitor and assess the patent application landscape before deploying any AI intellectual property for its risk mitigation strategy or infrastructure protection. The security team must ensure that the usage of AI at the organization complies with the US federal and state antitrust laws. The organization's security team will implement control to identify data retention limits and regulate and permit the use of personally identifiable information within the organization. The enforcement will be via an organization's processes, functions, or approved mechanisms. The security team will implement binding techniques to strengthen the information flow enforcement process. This paper will elaborate on the binding technique that will regulate the number of users accessing the organization's resources or information. Keywords: Digitalization, Artificial Intelligence, Controls, Compliance, Rule & Regulation. Journal Reference Format: Yamcharoen P., Folorunsho O.S., Bayewu A. & Ojo T.P. (2022): Impact of Digitalizing Healthcare Business Operations on Cybersecurity Landscape. Journal of Behavioural Informatics, Digital Humanities and Development Research. Vol. 8.No. 4, Pp 27-34. Available online at https://www.isteams.net/behavioralinformaticsjournal. dx.doi.org/10.22624/AIMS/BHI/V8N4P3