Reviewerly/exHarmony huggingface dataset:
Digital competence formation of the citizen for the creation in the digital world using programming

This article presents the issue of digital competence for the population as a whole with a view to benefiting people, companies and the country. The European Community's DigComp proposal is described, which establishes a set of necessary skills to be acquired by the population. Among these skills is the ability to develop programs using some programming language. The situation in Brazil in terms of digital competence in this regard is analyzed for the population as a whole and in the case of young people aged 9 to 17, based on surveys by CETIC.br. MEC's recommendations are then presented to train elementary, middle and higher level students in programming language and strategies and difficulties to teach/learn a programming language are discussed. A qualitative research presents a sample of the population that experienced the learning of a programming language for the first time, pointing out the difficulties and alternatives used in terms of support. From this research and from previous studies, a range of strategies and resources to support digital training can be derived.
Applying The "Bingo" Game Method in Teaching Vocabulary at Nurul Ulum Islamic Intermediate School Poncokosumo Malang

In vocabulary learning, students are expected to be able to pronounce vocabulary according to the correct output (makhraj), understand the meaning and derivation of the word, explain its meaning in the correct language structure, and use the right words in the correct sentence context. However, there are problems that occur in vocabulary learning at MTs Nurul Ulum Poncokusumo Malang Regency, including the relatively low number of vocabularies mastered by students, some students' pronunciation is not good and correct, and some students have difficulty in understanding and applying vocabulary into sentences. This study aims to describe and determine the effectiveness of the application of bingo game media in vocabulary learning at Mts Nurul Ulum Poncokusumo Malang Regency. The approach used by the researcher is a quantitative approach with an experimental method in the form of a quasi-experimental design, namely a non-equivalent control group design. The results of the study are as follows: 1) multi-disciplinary learning with bingo game media uses the stages of exploration, bingo organization, elaboration, confirmation, and material strengthening. 2) Through observation, it can be seen that students' memorization of vocabulary is increasing and they are able to mention more vocabulary than usual. The results of the t-test indicate that there is a significant difference between the experimental group and the control group because the t-count value (3.469) is greater than the t-table (2.021). Therefore, it can be concluded that the use of bingo game media is quite effective in vocabulary learning at MTs Nurul Ulum Poncokusumo Malang Regency.
Bayes Estimator Parameters Exponential Distribution of Type I Sensor Data Using Linear Exponential Loss Function Method Based on Prior Jeffrey

Lifetime data analysis or survival analysis is a technique in statistics that can be used to test the durability and reliability of a component.The life time data obtained from the life test experiment is in the form of type I censored data if the life test data is generated after the experiment lasts for a predetermined time.This study aims to obtain a parameter estimator from the exponential distribution of type I censored data using the Linear Exponential Loss Function (LINEX) method.The prior distribution used in this study is a non-informative prior with the technique of determining it using the Jeffrey method.So that the research results were obtained in the form of a parameter estimator θ is θ .Furthermore, applied to secondary data on the survival time of patients with chronic kidney failure at one of the Bojonegoro Hospitals was carried out in 2014.The data is divided into two, namely data on patients with initial causes of diabetic (data 1) and non-diabetic (data 2) diseases.Based on the estimation results for case studies of patients with chronic kidney failure, the value θ = 0.0102608 for patients with initial causes of diabetic disease and θ = 0.00712166 for patients with initial causes of non-diabetic disease.This shows that the possibility of patients with initial causes of diabetic disease to fail (die) is higher than patients with non-diabetic causes of disease.
Peningkatan Kemampuan Menulis Deskripsi melalui Pemanfaatan Media Audio Visual Kelas V

This study aims to improve students' description writing skills with audio video media in fifth grade students at SD Negeri Slapajang II. This type of research is classroom action research. The research subjects were fifth grade students. This classroom action research was conducted in two cycles with four components in each cycle, namely planning, action implementation, observation, and reflection. Data collection techniques used were questionnaires, observations (observations), interviews, and description writing tests. The data analysis technique used is a qualitative analysis technique. Criteria for success seen from the process and product. The success of the process is measured based on improving the learning process in a better direction. The success of the product is measured based on KKM achievement and better student scores. The results of this study indicate that the use of audio video media can improve the description writing skills of the fifth grade students of SD Negeri Slapajang II. Improvements can be seen in processes and products. Improving the quality of the process seen in student activities in learning. Improved process quality can be seen from the condition of students who are more active in asking questions, more enthusiastic, and more independent. Process quality improvement has a positive impact on product quality improvement.
A Study on Intelligent Document Processing using AWS

This article mainly approaches the topic of Intelligent Document Processing from the viewpoint of the users of cloud computing platforms and the end-users. The market for commercial OCR, document categorization and data extraction technologies are briefly reviewed to the extent that it is publicly available. The necessity for an effective and efficient retrieval of the stored information is increased by digital repositories. In this study, we suggest that the phases of document layout analysis, document picture categorization and understanding on digital documents should intensively apply intelligent techniques. Specifically, the Intelligent Document Processing can be used instead of Artificial Intelligence, Deep Learning and RPA to retrieve the data and convert to understandable form.
A GENDER PERSPECTIVE IN MITIGATING FALL ARMYWORM (Spodoptera frugiperda) TOWARDS ENVIRONMENTAL AND FOOD PRODUCTION RESILIENCE IN BOMET COUNTY, KENYA

The emergence and rapid spread of the fall armyworm (FAW) Spodoptera frugiperda in Africa having spread from its Native American since 2016 seriously threatens the food crop production of millions of smallholder farmers. In December 2016, the Kenyan government started experiencing the invasion of FAW threatening the food crop production in the country. Smallholder farmers have different household setups with gender differentials towards managements of any new invasive crop pests including FAW. From literature reviews, fall armyworm invasion can affect food production to zero production if not properly managed but there are gaps on effects of fall armyworm within different headed households by gender prompting the study on effects of fall armyworm invasion on food production between differentiated headed households in Bomet County, Kenya. Data was collected using multiple approaches including interviews on households and key informants, focus group discussions and observations. A household baseline survey and focus group discussions were done using a structured questionnaire and checklist where a total of 384 respondents were enumerated. The study result showed that the management of fall armyworm are gender specific with different gender roles and activities being used. Therefore, gender specific programs and different headed households should be approached differently during agricultural production using an effective network of extension and advisory which provides technical advice on management of new invasive pests towards food production and environmental resilience
How to co-create content moderation policies: The case of the AutSPACEs project

The moderation of user-generated content on online platforms remains a key solution to protecting people online, but also remains a perpetual challenge as the appropriateness of content moderation guidelines depends on the online community that they aim to govern. This challenge affects marginalised groups in particular, as they more frequently experience online abuse but also end up falsely being the target of content-moderation guidelines. While there have been calls for democratic, community-moderation, there has so far been little research into how to implement such approaches. Here, we present the co-creation of content moderation strategies with the users of an online platform to address some of these challenges. Within the context of AutSPACEs – an online citizen science platform that aims to allow autistic people to share their own sensory processing experiences publicly – we used a community-based and participatory approach to co-design a content moderation solution that would fit the preferences, priorities and needs of its autistic user community. We outline how this approach helped us discover context-specific moderation dilemmas around participant safety and wellbeing and how we addressed those. These trade-offs have resulted in a moderation design that differs from more general social networks in aspects such as how to contribute, when to moderate, and what to moderate. While these dilemmas, processes and solutions are specific to the context of AutSPACEs, we highlight how the co-design approach itself could be applied and useful for other communities to uncover challenges and help other online spaces to embed safety and empowerment.
Deep-learning Based Egocentric Action Anticipation: A Survey

Abstract As autonomous systems become more embedded into our environments, the ability of these systems to anticipate the future actions of humans will become invaluable for providing assistance and safety measures. Egocentric action anticipation is a task in which a future activity must be predicted using first-person footage. This project is a survey that aims to provide an updated view of advancements within this task, to guide architecture design for future implementations. This survey has chosen a range of publicly available egocentric action anticipation models. An analysis of the models revealed that this task's predictive architectures tend to fall into either a recurrent network or a transformer. The evaluation of the models on two datasets revealed that the transformer-based "Adaptive Video Transformer' and `Temporal Aggregation' generally outperformed all the recursive architectures in this survey. These results demonstrate that the attention-based architecture of the transformer is valuable within vision prediction tasks and that future design of predictive architecture should focus on using attention-based models.
Analisis Keterampilan Membaca Lanjutan Siswa Sekolah Dasar di Kelas III–A SD Negeri 064037

Advanced reading is a reading skill that is more complex and requires deeper understanding. Advanced reading skills are very important because they help a person to understand more complex information and broaden one's horizons. To improve advanced reading skills, one needs to practice beginning reading skills first. Beginning reading skills include the ability to recognize letters, read words, and read sentences. After the initial reading ability is well trained, a person can practice advanced reading skills by reading reading material that is more complex and requires a deeper understanding. One method that can be used to improve reading comprehension skills is the REAP (Read, Encode, Annotate, Ponder) method. This method involves four stages, namely reading, marking, writing, and pondering. This writing aims to find out to improve advanced reading skills in class III students of SD N 064037 advanced reading in high classes in order to improve reading skills in student learning in high classes &amp; improve learning abilities. This research uses a rational approach method which was compiled based on the results of observation and study References. From the results of the study it can be concluded that the use of good and relevant strategies in advanced reading learning in high grades can affect effectiveness and can improve students' learning abilities.
Meet the authors: Daisuke Komura and Shumpei Ishikawa

In this People of Data, Cell Press Community Review Scientific Editor Leia Judge talks to lead author Dr. Daisuke Komura and Principal Investigator Prof. Shumpei Ishikawa about their paper "Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists," which was published in the February issue of Patterns, and their experiences with Cell Press Community Review.
Determination of Local Background Values and Potential Ecological Risk Evaluation of Heavy Metals in Vina's Ferralitic Soil, Adamawa Cameroon

Local geochemical background (LGB) has great importance for environmental assessment and management.In this study, 53 core soil samples were collected in 3 different sites with minimal or no human intervention to determine H.M. (Cr, Cu, Zn, Cd, Pb, Ni, Mn, As and Sn) concentration and pH.This study is aimed to define the Local Geochemical Background (LGB) of feralitic soil in Vina Cameroon.H.M. were determined using ICP-ES, and Excel was used for descriptive analysis.LGB was determined using the median ±2×MAD as the data are not normally distributed.Ei,r, and potential ecological risk index (PERI) were determined considering calculated LGB and Upper Continental Crust (UCC) standard values.Some obtained LGB (Pb, Zn, Cr and Sn) are greater than the UCC standard values that are mostly used to assess heavy metals in Cameroon.All the study sites present acidic pH.The obtained results are necessary to assess H.M.s pollution in the region and can be used as the basis for taking appropriate measures when restoring agricultural soils and protecting the quality of soil resources.
Internet of Medical Things Application in King Hamad University Hospital

Background: The Internet of Medical Things (IoMT) is a network of medical devices and applications that are connected to the internet, allowing healthcare providers to remotely monitor and manage patient health. King Hamad University Hospital (KHUH) is a tertiary care hospital in Bahrain that has implemented various IoMT applications to improve patient care. Methods: The aim of this study is to investigate the application of Internet of Medical Things (IoMT) in King Hamad University Hospital (KHUH) and its impact on patient care and hospital operations The study will be conducted at KHUH, which is a tertiary care hospital located in Bahrain. KHUH, accommodates 739 bed in all services. (In- patients including isolation rooms: 348, Out-patient clinics: 242, Other services: 149). That provides specialized medical services to patients from Bahrain and neighboring countries. Results: The survey results showed that the most commonly used IoMT applications were remote monitoring devices for vital signs, telemedicine platforms for virtual consultations, and electronic health records for patient data management. Healthcare providers reported that these applications were effective in improving patient outcomes, reducing hospital readmissions, and increasing efficiency in healthcare delivery. However, some challenges were identified during implementation, such as technical issues with connectivity and data security concerns. Conclusion: The implementation of IoMT applications in KHUH has shown promising results in improving patient care and healthcare delivery. However, ongoing efforts are needed to address the challenges faced during implementation to ensure the sustainability and scalability of these technologies. Further research is also needed to evaluate the long-term impact of IoMT on patient outcomes and healthcare costs.
Knowledge Spillovers and Total Factor Productivity Across Countries: The Role of Institutions

Why certain countries gain more than others from knowledge spillover is a topic of intense dispute in academic circles. It is generally believed that knowledge spillovers provide greater opportunities to countries to follow higher domestic productivity. However, some economies are not experiencing the productivity benefits of knowledge spillovers and implementing actions that would significantly move the economy onto a higher, more sustainable development path.This study examines the interaction between knowledge spillovers with institutional quality in affecting total factor productivity for sample countries. To serve this purpose, this study employs Cross Sectionally Augmented Autoregressive Distributive Lag (CS-ARDL) econometric technique. The results suggest that knowledge spillovers contributing to domestic productivity. However, the relationship between knowledge spillovers and domestic productivity depends on certain level of institutional characteristics. Hence, countries with high quality of institutions get more benefited from knowledge spillovers. Therefore, policy complementarity is pre-requisite for domestic productivity. The implication for policy sequencing is that the countries, where policy complementarities are weak, must have a strategy in place to improve their structural and institutional quality.
ANALISIS SISTEM INFORMASI AKUNTANSI PENERIMAAN DAN PENGELUARAN KAS PADA PERUSAHAAN LISTRIK NEGARA (PERSERO) RAYON GIANYAR

The cash receipts and disbursement accounting information system requires a good procedure or system that will later be in accordance with established management policies. The existence of an established accounting information system will facilitate performance in management and can prevent the occurrence of misappropriation of cash. This study aims to: determine whether the implementation of cash receipts and disbursement accounting information systems has fulfilled the basic elements of accounting information systems. The object ofthis research is PT PLN (PERSERO) Rayon Gianyar. The analytical method used is descriptive method and the type of research used is qualitative. Based on the research results, PT PLN has fulfilled the basic elements of an accounting information system, but some of the cash receipts and disbursements of the system are carried out centrally so as to minimize the occurrence of cash misappropriations in the company.
The Effects of Perception on School Environment and Vocabulary Mastery towards Students’ Reading Comprehension

Reading is a fundamental skill that must be mastered in learning English as foreign language. There are many factors which can influence students’ reading comprehension. This study aims to examine the effects of perception on school environment and vocabulary mastery towards students’ reading comprehension in the State of Senior High School in Tangerang Banten. Population in this research is 11th grade students of State Senior High School in Kota Tangerang Banten. The samples of the research were taken as much as 60 respondents from two schools of one sub-district with A accredited. The data were collected by giving two sets of objective test and one set of questionnaire as the instruments to the 60 students. The results showed that 1) there is positive effect of perception on school environment and vocabulary mastery simultaneously towards students’ reading comprehension; 2) there is positive effect of perception on school environment towards students’ reading comprehension; 3) there is positive effect of vocabulary mastery towards students’ reading comprehension.&#x0D; Keyword: Perception on School Environment, Vocabulary Mastery, Reading Comprehension
Students’ Perceptions of Online Teaching and Learning in Literature Studies at University during COVID-19 Pandemic

The COVID-19 pandemic has greatly impacted higher education, including Malay Literature. This study explores students’ perceptions of online learning during the pandemic at a Malaysian university. Using a multifaceted research approach combining surveys and interviews, the study finds that online learning in Malay Literature has advantages such as flexibility and convenience, allowing students to learn from home and at their preferred schedules. However, challenges include limited face-to-face interaction and potential technological issues. Further research is needed to examine additional factors influencing the effectiveness and acceptance of online learning across disciplines and student populations. By addressing these areas and implementing evidence-based strategies, online education can be improved, enhancing its quality and inclusivity to better support students’ learning journeys.
Outlier Detection Mechanism for Ensuring Availability in Wireless Mobile Networks Anomaly Detection

Finding things that are significantly different from, incomparable with, and inconsistent with the majority of data in many domains is the focus of the important research problem of anomaly detection. A noteworthy research problem has recently been illuminated by the explosion of data that has been gathered. This offers brand-new opportunities as well as difficulties for anomaly detection research. The analysis and monitoring of data connected to network traffic, weblogs, medical domains, financial transactions, transportation domains, and many more are just a few of the areas in which anomaly detection is useful. An important part of assessing the effectiveness of mobile ad hoc networks (MANET) is anomaly detection. Due to difficulties in the associated protocols, MANET has become a popular study topic in recent years. No matter where they are geographically located, users can connect to a dynamic infrastructure using MANETs. Small, powerful, and affordable devices enable MANETs to self-organize and expand quickly. By an outlier detection approach, the proposed work provides cryptographic property and availability for an RFID-WSN integrated network with node counts ranging from 500 to 5000. The detection ratio and anomaly scores are used to measure the system's resistance to outliers. The suggested method uses anomaly scores to identify outliers and provide defence against DoS attacks. The suggested method uses anomaly scores to identify outliers and provide protection from DoS attacks. The proposed method has been shown to detect intruders in a matter of milliseconds without interfering with authorised users' privileges. Throughput is improved by at least 6.8% using the suggested protocol, while Packet Delivery Ratio (PDR) is improved by at least 9.2% and by as much as 21.5%.