Reviewerly/exHarmony huggingface dataset:
Lessons on regulation and implementation from the first FDA-cleared autonomous AI - Interview with Chairman and Founder of Digital Diagnostics Michael Abramoff

Primary care intensive management programs utilize interdisciplinary care teams to comprehensively meet the complex care needs of patients at high risk for hospitalization. The mixed evidence on the effectiveness of these programs focuses on average treatment effects that may mask heterogeneous treatment effects (HTEs) among subgroups of patients. We test for HTEs by patients’ demographic, economic, and social characteristics.Retrospective analysis of a VA randomized quality improvement trial. 3995 primary care patients at high risk for hospitalization were randomized to primary care intensive management (n = 1761) or usual primary care (n = 1731). We estimated HTEs on ED and hospital utilization one year after randomization using model-based recursive partitioning and a pre-versus post-with control group framework. Splitting variables included administratively collected demographic characteristics, travel distance, copay exemption, risk score for future hospitalizations, history of hospital discharge against medical advice, homelessness, and multiple residence ZIP codes.There were no average or heterogeneous treatment effects of intensive management one year after enrollment. The recursive partitioning algorithm identified variation in effects by risk score, homelessness, and whether the patient had multiple residences in a year. Within each distinct subgroup, the effect of intensive management was not statistically significant.Primary care intensive management did not affect acute care use of high-risk patients on average or differentially for patients defined by various demographic, economic, and social characteristics.Reducing acute care use for high-risk patients is complex, and more work is required to identify patients positioned to benefit from intensive management programs.
BFLMeta: Blockchain-Empowered Metaverse with Byzantine-Robust Federated Learning

&lt;p&gt;The emerging metaverse is envisioned as a virtual mapping of the real world, thus it would inevitably employ numerous Machine Learning (ML) frameworks to analyze and process massive data for the virtual-physical synchronization process. As a distributed ML paradigm, Federated Learning (FL) can naturally take advantage of numerous IoT, wearable devices, and edge, cloud servers under the metaverse infrastructure to train ML models with privacy guarantee. However, the large-scale and decentralized nature of the metaverse can pose significant challenges to traditional FL schemes, where there is a centralized server aggregating the local models received from local devices. It is not only vulnerable to Single Point of Failure (SPoF), but also lacks incentive mechanisms encouraging metaverse users to contribute their resource and data.&lt;/p&gt; &lt;p&gt;In this paper, we propose BFLMeta, a blockchain-based FL scheme for the metaverse in which the aggregation process is performed in a decentralized manner, while the framework can estimate the non-IID degree of data to flexibly adjust blockchain committee size, thereby mitigating the impact of malicious aggregators. Security analysis shows that BFLMeta can resist SPoF, poisoning attack, privacy leakage, and sybil attack. Besides, our evaluation on computation, communication, and performance illustrates the efficiency of BFLMeta. Notably, BFLMeta can converge even with more than 50% poisoning nodes.&lt;/p&gt;
Peningkatan Literasi Dan Numerasi Melalui Pelaksanaan Kampus Mengajar Angkatan Ke-4 Di SMP Swasta Yapena ’45 Medan

The teaching campus program is one of the independent learning independent campus (MBKM) programs in the form of collaborative activities between students and target schools in teaching and developing literacy, numeracy, school administration and technology adaptation skills. This program is implemented in several elementary schools (SD) and junior high schools (SMP) throughout Indonesia, one of which is Yapena'45 Private Middle School in Medan. In this program, students are assigned to assist the school in learning, school administration, and technology adaptation, as well as improving students' literacy and numeracy skills with the programs that have been prepared. The research method used is the participation method by directly involving students in the Yapena'45 private junior high school environment. After making observations, the results of the analysis show that students are still less motivated in learning, especially literacy and numeracy. In addition, the application of technology adaptation in schools is still not related to learning, so it is necessary to help develop several programs to improve students' literacy and numeracy abilities, as well as technology adaptation.
THE LONG-RUN IMPACT OF E-PAYMENT ON FINANCIAL INCLUSION IN NIGERIA

The link between e-payment system and financial inclusion (FI) is the fundamental interest of this paper. Series from the economy of Nigeria were adopted in testing the long-run equations of e-payment and FI. Furthermore, the normalized cointegration technique was applied to ascertain the definite relationship among our series. Our findings suggest that a long-run positive relationship existed between the surrogates of e-payments and financial inclusion in Nigeria. We recommended the widening and deepening of the e-payment mechanism in Nigeria to enhance sustainable financial inclusion.&#x0D; Keywords: E-payment, Financial Inclusion, Normalized Cointegration, Nigeria.&#x0D; JEL Classification:G20,G21,G28,C520.
A Study on Collection Development of E-resources in College Libraries: Special Reference to Kolar District

In the era of information explosion and rapid advancement of information technology, the e-resources are the only solution for the college libraries in the present context to meet the changing information needs of the user community.The present paper is focused on the different types of e-resources available for college community and its collection development, policies and procedures.The proper planning and a policy for the collection of eresources is very much required for providing the right resources to right user at the right time in right format.In this paper an attempt is made to come out with a collection development model of e-resources for the college library.The proper planning of the collection development of e-resources from its selection, acquisition, organization, dissemination, preservation and also the various problems involved in the acquisition and management of e-resources are also discussed in this paper.This will be useful for the college libraries to develop its own model for collection development of e-resources keeping in mind its users and their specific requirements.
STEP-BY-STEP ALGORITHM FOR GRAMMAR TOPIC PRESENTATION: ENGLISH CONDITIONALS

Grammar is considered to be the most important part in learning the foreign language and students' language development is severely constrained without a good knowledge of it.English grammar is traditionally seen as a syntactic system determining the order and the usage of analytical structures arranged in sentences.Conditional sentences are regarded complex patterns as in the English language there are at least three types of them differing in structure and meaning.Moreover, in the models of such complex conditional sentences, a special backshifting is observed.It causes a certain number of difficulties for students to study English as a foreign language.The paper attempts to outline a step-by-step algorithm for the presentation of the grammar topic "English conditionals" using the pedagogical experience of foreign teachers and our own (the work with students of non-philological specialities) in order to facilitate the process of teaching the specified topic to teachers of secondary and higher educational establishments.The article highlights the eight steps of grammar material presentation, which are used at classes on the discipline "Foreign Language (English)".The main attention is focused on the linguistic and cognitive nature of conditional sentences, which are easier to perceive within grammar dimension (form, meaning, usage).The following steps are outlined: description of the general picture of the mood as a grammatical category; demonstration of the main types of the mood; providing information on semantically universal features of conditional sentences in English and Ukrainian; identification of the main problems that students face when studying the topic; analysis of basic textbooks; introducing types of conditional sentences with an emphasis on probable, improbable and impossible conditions; some tips for choosing exercises to train practical material.
FAKE NEWS DETECTION USING HYBRID APPROACH

In According to the definition of fake news, it is "misleading information from news sources that pretend to be real but are fake."The dissemination of false information seeks to spread rumours, damage someone's reputation, or generate revenue through clickbait, among other things.Everyone has access to the internet and has a social media profile, so bogus news might spread quickly.Fake news is on the rise, which creates a serious issue that needs to be addressed.In our work, we evaluate and examine each of the mentioned Deep Learning and Machine Learning models: CNN, RNN, LSTM, Bi-LSTM, Random Forest Multinomial Naive Bayes, Decision Tree, and so on.Eighty-eight to ninety-nine percent accuracy is what these algorithms can achieve.Our hybrid FND (Fake News Detection) model, includes layers of Convolution Neural Networks, Bi-Long Short Term Memory, and Bi-Recurrent Neural Networks.The ISOT dataset is used to train the FND model.There are twelve thousand six hundred false and real news articles each in the dataset.Comparing the FND model to the other studied techniques, it has demonstrated superior accuracy.We discovered optimistic outcomes in terms of success rate using this method.
Analysis of legal framework solutions to protect retail consumers

Purpose This article analyses the existing retail and distribution legal framework in which Internet companies operate, focusing on data breaches and other issues of relevance to these companies. In order to identify who should be responsible for the largest share of improving people's quality of life, this study takes into account the perspectives of both consumers and businesses (or service provider). The author states that where there is a high probability of a security or privacy breach and the customer suffers moderate to severe damage, the burden of proof may shift to the corporation. However, the customer's obligation is conditioned by factors such as the customer's risk tolerance, the customer's losses and the efficiency of the security investment. Design/methodology/approach The author suggests that the decentralized nature of blockchain, information sharing, immutability and smart contracting capabilities have the potential to disrupt established business models and social norms. Challenges related to trust, customs oversight and payments are discussed, as well as the process of creating the framework for electronic commerce. As part of this research, the author has taken into consideration the increasing popularity of Internet shopping. Findings The author demonstrates that due to the worldwide reach of the internet and the fast advancement of computer technology, the economies of the globe have grown increasingly linked. Even though e-commerce has been growing rapidly in recent years due to innovations in both technology and international retail and distribution forms, it still confronts a number of challenges. Research limitations/implications In e-commerce that makes use of blockchain technology, there are significant costs associated with transferring data formats, a lack of consensus and limited emissivity in the flow of law and information. Reduced costs and associated negative externalities would be tremendously beneficial for both private enterprise and forward-thinking public policy. Practical implications This paper examines the potential liability concerns that may arise in the context of electronic transactions should a breach of security or privacy occur, as the author shows from a practical standpoint. Computers, mobile devices, tablets, sensors, smart meters and even autos are just some of the many channels via which data may be sent. It is conceivable for data flows in e-commerce, cloud and the Internet of Things to follow a regular pattern. This may endanger the confidentiality or security of the data. These have evolved into a significant barrier that web stores must overcome. Originality/value The author argues that resolving disputes related to the processing of electronic transactions is crucial to the growth of e-commerce businesses since customer happiness is directly correlated with business success.
IMAGE GENERATION WITH STABLE DIFFUSION AI

Artificial intelligence (AI) has been playing an increasingly important role in the development of new technologies across various domains.One such domain is law enforcement, where AI-based tools can be used to improve the efficiency and accuracy of suspect identification.In this project, we propose a system that generates facial images of suspects based on input text descriptions using the Stable Diffusion AI model.The existing systems for suspect identification rely on eyewitness accounts, sketches, and/or composite images, which can be unreliable and time-consuming.Our proposed system uses AI-based image generation to provide law enforcement agencies with a more efficient and accurate method for generating facial images of suspects based on input text descriptions.The proposed system consists of four modules: input processing, image generation, user interface, and database.The input processing module receives the text description of the suspect's appearance and pre-processes it to remove any unwanted characters.The image generation module uses the Stable Diffusion AI model to generate a latent vector representation of the input text and decode it into a facial image.The user interface module provides an intuitive and user-friendly interface for inputting text descriptions and displaying generated facial images.The database module stores and manages the generated facial images and associated text descriptions.Our proposed system achieves a higher level of accuracy and efficiency in suspect identification than existing systems.By utilizing the Stable Diffusion AI model for image generation, our system can generate realistic and accurate facial images of suspects based on input text descriptions, improving the accuracy and efficiency of suspect identification by law enforcement agencies.
School-Based Disaster Preparedness and Response Measures: Awareness and Assessment

The study sought to determine the Level of Awareness in terms of preparedness, mitigation, response, and recovery and the Level of Assessment in terms of preparedness in normal times and preparedness for response measure of School-based Disaster Preparedness and Response Measure and find the significant relationship of the Levels of Awareness and Assessment of the School-based Disaster Preparedness and Response Measure among the one hundred-fourteen (114) teachers who were taken as respondents through purposive universal sampling from Balingasag Central District.The study employed descriptive correlational research design and utilized DO No. 033, s. 2021 checklist and Toyado's (2022) survey questionnaire as instruments of this study.Mean and SD were used to determine the Levels of Awareness and Assessment on School-based Disaster Preparedness and Response Measure and Pearson Product Moment Correlation Coefficient to find the significant relationship between the Levels of Awareness and Assessment.Result revealed that teachers are Highly Aware on their Level of Awareness and Highly Prepared on their Level of Assessment on the Schoolbased Disaster Preparedness and Response Measure and there is a Significant Relationship of their Levels of Awareness and Assessment.Thus, a regular seminar or a quarterly drill is encouraged to be implemented in the school in order to sustain it.
Pupils’ Level of Reading Literacy During Modular Distance Learning

This study aimed to determine the pupils' practices at home during Modular Distance Learning (MDL) in terms of Reading, Parenting, and Gadgets, to find their Reading Literacy levels either Independent, Instructional, Frustrated, or Non-Readers, and further find the significant relationship between the pupils' practices at home during MDL and the Reading Literacy Level.Also, to design an Action Plan based on the study's findings to help the pupils with problems with their reading level.This study used a descriptive correlation research design.A researcher-made questionnaire was utilized to acquire information relevant to the study and Phil-IRI Assessment Tool to identify the reading Literacy level of pupils.Respondents were 177 Grade IV pupils of San Martin Integrated School using a convenient sampling procedure.Results revealed that pupils were often reading at home during MDL.Most of them are in the Instructional level, which means that they can read but not counted as fast readers.They read the reading materials given by their teachers.Reading, Parenting and use of Gadgets have Significant Relationship with the reading level of pupils.It is recommended that parents will not forget to have reading practice at home.
USING A BOOKLET IN STUDENT’S UNDERSTANDING OF THE BOOK NOLI ME TANGERE

This study has to do with the use of a booklet in students' understanding of the book Noli Me Tangere and it is based on the experimental method.Use a questionnaire and examination to achieve the following objectives: (1) What is the level of understanding of the use of the booklet in the students' understanding of the work Noli Me Tangere based on the part according to the objective, content, and training?; (2) What is the level of using the booklet in the students' understanding of the work Noli Me Tangere based on the characteristics according to the appropriate design and structure?; (3) What is the performance level of the students based on the test?; (4) Does the use of the booklet have a significant effect on the student's understanding of the work Noli Me Tangere based on the level component on the student's performance?; (5) Does the use of the booklet have a significant effect on the student's understanding of the work Noli Me Tangere on the character level of the student's performance?Based on the level of validation of the teachers in the use of the booklet in the students' understanding of the book Noli Me Tangere, all the indicators have an interpretation that strongly agrees.Therefore, the level of validation and understanding of the use of the booklet in the students' understanding of the work Noli Me Tangere is very high based on the objective content and practice.Regarding the level of understanding of the use of the booklet in the students' understanding of the work Noli Me Tangere based on the characteristic that according to the design, appropriateness, and structure, all the indicators have an interpretation that is strongly agreed upon.Therefore, the student's level of knowledge in using the booklet is very high in the student's understanding of the work of Noli Me Tangere.In the general impression of the trend of the data, the use of the booklet had a significant effect on the student's understanding of the work of Noli Me Tangere.Based on the answer and conclusion of the following are the recommendations given.The booklet can be used by teachers and students of grade 9 as a reference or teaching tool to understand each chapter and developed their ability and skills in understanding the book Noli Me Tangere.Teachers are encouraged to develop teaching materials such as material developed by the analyst as an additional reference to the novel Noli Me Tangere.Because limited vocabulary and exercises used in the booklet in Noli Me Tangere, the analyst suggests that the teachers increase its content so that it can be used as a reference in Filipino by students from grade 9.
Home Visitation And Learners’ Academic Performance

One of the strategies teachers utilize to increase parents' engagement in their children's studies is home visitation.This study sought to determine the parents' perception level of the Home Visitation Program, the level of the learners' academic performance, and the significant relationship between the Home Visitation Program and the learners' academic performance among the three(3) elementary schools of Barangay Lunao, West 2 District, Division of Gingoog City, during the First and Second Quarters of the School Year 2022-2023.There was a total of one hundred seventy-seven (177) Grade VI parents using the universal sampling method.This study utilized a survey questionnaire from Talunan (2022).It employed the mean, standard deviation, and Pearson Product Moment Correlation Coefficient (r) to ascertain the significant relationship between parents' perception of home visitation and learners' academic performance.The study found that respondents have a Very High perception of Home Visitation, specifically of the parent-teacher relationship, and that the learners are confident in every task their teachers give.A significant relationship exists between home visitation and learners' academic performance, thus rejecting the null hypothesis.It is concluded that home visitation is an opportunity to establish a camaraderie with the parents to help their children improve their academic performance.Thus, an open line of communication is recommended.
USE OF FILIPINO LANGUAGE IN TEACHING AND LEARNING LESSON OF THE MAPEH STUDENTS

This study is the Use of Filipino Language in the Teaching and Learning lesson of MAPEH students.The respondents were the students of Pacita Complex National High School in San Pedro, Laguna.The data was collected from one hundred and thirty students of Grade eight (8) of Pacita Complex National High School to answer five (5) problems stating that 1.What is the teaching level of Using the Filipino Language based on: 1.1.Knowledge of the Subject; 1.2.Teacher's Strategy; and 1.3.Teaching Tools? 2. What is the level of the use of the Filipino language in learning the lesson in MAPEH based on: 2.1.Translation; 2.2.Understanding; 2.3.Interest; and 2.4.Skill? 3. What is the result of students' performance in Advanced Tests and Practical Training?4. Does the use of the Filipino language have a significant effect on the teaching of lessons in the MAPEH subject? 5. Does the use of the Filipino language have a significant effect on the learning of MAPEH lessons?In this study, the researcher used a Descriptive method (Descriptive Method) to gather accurate data and information.