Reviewerly/exHarmony huggingface dataset:
P093 Assessment of Interactive Virtual Teaching Approaches Implemented by Maine SNAP-Ed in Response to the Pandemic

<h3>Objective</h3> To examine a variety of virtual teaching modalities implemented by Maine SNAP-Ed Nutrition Educators and to establish promising practices. <h3>Use of Theory or Research</h3> The COVID-19 pandemic resulted in the abrupt transition from in-person to virtual delivery of SNAP-Ed classes, yet efficacy of online interventions is not well established in the literature. Evaluation of virtual interventions adopted during the pandemic is needed to identify best practices. <h3>Target Audience</h3> Maine SNAP-Ed Nutrition Educators, administrators, and partners. <h3>Program Description</h3> As the COVID-19 pandemic continued to present barriers to in-person teaching in FFY 2021, virtual teaching continued to be of high interest to Maine SNAP-Ed. The Maine SNAP-Ed implementing agency, the University of New England (UNE), supported Nutrition Educators in adapting their lessons for a virtual environment. Nutrition Educators coordinated with community partners to schedule virtual lessons and used a variety of approaches and technologies to adapt existing curricula and materials. <h3>Evaluation Methods</h3> Altarum, the external evaluator for Maine SNAP-Ed, conducted a process evaluation to understand the effectiveness of virtually teaching SNAP-Ed classes, capture how SNAP-Ed participants and partners have responded to virtual teaching, and identify promising practices and lessons learned from virtual teaching. Evaluation activities included key informant interviews with Nutrition Educators (n = 19) and SNAP-Ed partners and teachers (n = 7) involved with the virtual classes. <h3>Results</h3> The transition from in-person to virtual SNAP-Ed classes required significant adaptability and creativity among Nutrition Educators. The evaluation identified several benefits and drawbacks to delivering virtual classes, which may impact effectiveness with different audiences. <h3>Conclusions</h3> Implications of this evaluation suggest that SNAP-Ed agencies can successfully deliver nutrition education through a hybrid approach that considers which lesson components are best delivered virtually or in-person as well as the needs of the partner organizations and participants. <h3>Funding</h3> Supplemental Nutrition Assistance Program - Education
Frequentist-Bayesian analyses in parallel using JASP

A tutorial to demonstrate the use of parallel Frequentist-Bayesian analyses using JASP, and the plausible inferences one may be able to make from such combined analysis.
Evidence based decision, data science and school dropout: a complexity approach

The use of data and evidence for decision-making seems an obvious choice. We do not expect decision-making to be based on personal opinions or “hunches”. When dealing with problems that we do not know or have no opinion about, we are more open to using data and evidence to support our decisions. However, if we have an opinion on the subject studied, our decision is contaminated, and we tend not to consider data and evidence. School dropout is one of these throbbing subjects, which arouses a lot of interest from researchers, but where we often use data and evidence only to corroborate preconceived opinions. The subject has been approached by several areas of knowledge to understand the factors that involve the possible causes that lead to abandonment. Despite the various explanations and causes for school dropout, everyone seems to agree that this is a relevant and urgent problem. These factors are analyzed in the literature in an independent manner and often present an additional problem: because these are factors that cannot or a difficult to be changed (such as race, ethnicity or gender) and requires a long-term for being changed (such as inequality, poverty and racism), improving the situation of the students who are currently at school is difficult if not impossible.
Creating a Code of Ethics for Social Engineering in Cybersecurity: A Case Study

The world of cybersecurity is fast growing and has the need of more competent social engineers who can train staff and improve training further in the industry. They can engage with people if they were to either get information out of them or to educate them on their own. They can then further educate their workplace’s cybersecurity posture towards social engineering attacks such as phishing, raising awareness about spyware, and teaching new personnel about the importance of upholding a professional standard while out on client engagements.
Circular is fashionable

Design: This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Purpose: This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Findings: The Australian fashion industry is currently focused on linear, cheap, short lifecycle products. SMEs are now looking to adopt circular economic models in order to change this. Originality: The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
Characteristic of Communication Model in Children with ADHD

There are a number of models that describe communication processes in children of typical development, while communication models in children with developmental disabilities, especially children with ADHD, have not been researched to such extent. Communication is defined as a complex process of transmitting messages from person to person, using signals (visual/auditory) from a sender to a recipient. Since communication involves a recipient and a sender of information, there are many factors that can affect the outcome of the communication process such as attention variability, as well as auditory and visual stimuli that can enhance or interfere in communication processes. The goal of communication is to provide as accurate and unaltered information as possible, while rising noise in the communication channel increases the likelihood that the information will be transmitted only partially or might be misinterpreted. The topic of this paper is the analysis of a modern communication model where emphasis is placed on visual and auditory perception, and their particularities in relation to the variability of attention as one of the most important elements of perception. The variability of attention consists of auditory and visual information processing including the time required to respond, ommision errors and errors caused by attention lapses. By studying the results of experimental research, we gain insight into the communication processes of children with ADHD, especially the particularities of the reception, processing and interpretation of auditory and/or visual stimuli, which significantly affects the communication process itself. At the cognitive level, the scientific contribution was achieved through the presentation of the particularities of the communication model in children with ADHD, and at the methodological level through the development of original methodology for qualitative comparison of stimulus thresholds by using statistical parameter analysis, while at the practical level in originality through the application of created information concepts of the communication process.
Influence of Digital Environment on Formation of Cross-cultural Interaction Experience in Professional Education

The article proposes an understanding of digital transformation as a two-way process of technological improvement of equipment and updating methods of knowing the surrounding world, producing knowledge at a new technological level. The authors emphasize that the activities of a teacher of professional education go beyond technical competencies and point to the need to understand the methodology of the knowledge resource of digital technologies, including in the formation of softskills. The authors believe that the study of cross-cultural interactions in socio-economic disciplines increases resistance to the uncertainty of digital transition, expands the understanding of the multiplicity of multicultural society, forms skills of intercultural cooperation, respect for other cultures, traditions and languages, without reducing the importance of national features and traditions in professional education.
Research on the Strategies of Teaching English Reading in Middle Schools

Middle school English reading has always had an important position in teaching English. It takes up a high proportion of the score whether in domestic high school and college entrance examinations or IELTS, TOEFL and other foreign examinations. However, with the continuous deepening and full implementation of China's education reform, some of its problems gradually appear. This paper analyzes current situation and problems of teaching English reading in middle schools from the perspectives of teaching objectives, contents, difficulties and common teaching models, and puts forward relevant teaching strategies.
Designing wearables devices to build emotional relationships

The focus of this paper is designing wearable devices to support the emotional relationship between users. The research reflects that any attempt by designers to produce outcomes aimed at helping design wearable devices must be grounded in an understanding of emotional engagement, convenient access, and intimate interaction. Emotionally positive experiences can inspire attempts to develop rich experiential devices. The case is made through several student projects that deal with particulars rooted in human relationships.
Application of International Academy of Cytology Yokohama System for Reporting Breast Fine Needle Aspiration Cytology- A Retrospective Study

Introduction: Fine Needle Aspiration Cytology (FNAC) is a rapid, minimally invasive and cost-effective procedure with a high sensitivity rate of 92-95% and high Positive Predictive Value (PPV) approaching 100% for the diagnosis of breast malignancies. International Academy of Cytology (IAC) Yokohama system for reporting breast FNACs had been established in 2016 to bring consistency and uniformity of breast cytology reporting. Aim: To classify the breast lesions according to the IAC Yokohama system for cytological reporting of breast lesions. Materials and Methods: This was a retrospective six years study carried out in the Department of Pathology, Karpaga Vinayaga Institute of Medical Sciences, Chinnakolambakkam, Tamil Nadu, India. All females breast FNAC cases reported during the year January 2015 to December 2020 were included in the study according to the inclusion criteria. Relevant clinical and pathological data including the FNAC reports were retrieved from the medical records of the department. Corresponding FNAC smears stained with Haematoxylin and Eosin (H&amp;E) and Papanicolaou stains were reviewed and double-checked with the FNAC reports. All those cases were grouped according to the IAC Yokohama System. Statistical analysis was carried out using Statistical Package for the Social Sciences (SPSS) version 23.0. Results: Of the total 381 female breast FNACs, majority (60%) of them belonged to the age group of 21-40 years. The predominant presenting symptom was palpable breast lump (73%) and Upper Outer Quadrant (UOQ) was involved in 65% of cases. Out of 381 cases, 297 (78%) were benign, 52 (13.6%) were malignant and 32 (8.4%) were inadequate for diagnosis. Total 73.8% cases belonged to “C2” category and fibroadenoma was the most prevalent lesion. Pearson Chi-square test showed highly significant association between patient’s age above 40 years and the risk of having a malignant breast lesion (p&lt;0.0001). Conclusion: FNAC is an effective diagnostic modality for preoperative diagnosis of breast lesions thereby facilitating proper treatment at an early stage of the disease. Also adherence to the standardised cytological reporting system like IAC Yokohama system will ensure quality assurance across various institutions, thereby strengthening the healthcare services.
Pattern Matching based Vehicle Density Estimation Technique for Traffic Monitoring Systems

Due to increase in vehicle density, the road traffic estimation aids in enhancing the traffic management centre’s performance and their applications. The analysis of traffic surveillance based on video is an active research area that has varied range of applications in Intelligent Transport System (ITS). In specific, urban environments are much more challenging on comparing highways due to the placement of cameras, vehicle pose, background clutter, or variation orientations. There were several techniques employed so far for the process of traffic monitoring using pattern matching, however there were some limitations like reduced rate of accuracy and increased error rate. So as to overcome this, an efficient method is proposed. The main intention of this proposed approach is to monitor the density of traffic and to estimate the vehicle density using Pattern Matching for Vehicle Density Estimation (PMVDE) scheme. In this paper, the pattern matching based vehicle density estimation is employed for enhancing the detection of accuracy thereby reducing the rate of error. The region of interest of an image that is extracted from the video input is being analysed by this process. These two processes are employed in region of interest extracted image for decreasing the density detection errors. This approach attains less false positive rates and error rate, however this in turn influences the accuracy, precision, recall, F-score, and true positive rates and offers enhanced outcome on comparing other techniques.
Off-Line Signature Confirmation based on Cluster Representations of Geometrical and Statistical Features through Vector Distance, Neural Network and Support Vector Machine Classifiers

We exploited the geometrical and statistical properties of signature images for offline signature verification and identification in this paper, using signature clustering and classification based on extracted features. The Offline-SVR has been tested on the 2004 Ministerio de Ciencia Tecnología e Innovación (MCTYTDB) OffLineSignSubCorpus dataset, the MCYT-330 online signature dataset, and the MCE-200 dataset, which together are referred to as the MCE-605 dataset. Using a standard data set for experiments, the results of the Vector Distance (VD), Support Vector Machine (SVM) and Neural Network (NN) methods are significantly superior to those of other signature verification and recognition methods. Moreover, the VD method performed better than The SVM and NN methods. The purpose of the study is on clustering signature images using geometric and statistical features, as well as the utilization vector distance, neural networks, and support vector machines for signature image verification and identification. It was decided to use the algorithm for developing geometric and statistical features. The signature images are classified using generated features using k-means clustering, and Offline and Online- Support Vector Regression (SVR) is accomplished using VD, SVM, and NN training and classification with a different number of signatures each time, preceded by verification using recognition statistics. Because of the minimal number of features, the designed mechanism seems to be much faster. Experimenting on a standard dataset reveals that the results obtained from clustering signatures and categorization are effective and simple in comparison to other Offline signature confirmation systems. In this research work, we address the problem of representing handwritten signatures (online/offline) suitable for effective verification and recognition. We propose effective feature extraction for verification and recognition of signatures.
A Simplified Alternate Approach To Estimate Software Size of Startups

This paper proposes an alternate approach to startups to estimate the size of software product to be built by them using the Software Product Points (SPP). Dataset from 20 software projects of a startup company in India was used to validate the proposed approach and learn lessons out of it. The estimated software product points and the project efforts were found to have a strong positive correlation, thereby indicating the suitability of the proposed approach for its utility by the managers of future software projects of startups. We also briefly outline the implications for project managers of startups and scope for future research.
Teacher Education in Nepal: Problems and Prospects with Brief Historical development

Purpose: The purpose of this study is to show the importance of teacher education. Today, globalization has affected every sector of education. Because of globalization, there is the internationalization of education and similarly, teacher education has also got importance to have been as internationalized. Similarly, to meet the global needs of individuals, societies, and the nation itself, education is in the front place which needs to be driven by teachers. This combination reveals that teachers need to be updated in day-to-day global changes for 21st-century education. So, teacher education is of great importance. This paper concerns prospects and challenges for 21st-century teacher education as the internationalization of education is of great concern today. Methodology/ Design/ Approach: This paper presents a conceptual study related to document analysis on teacher education from lower level to higher education. This is a qualitative study. Findings: The findings of this study show that there is great importance of teacher education to prepare teachers for the 21st century in the context of globalization because of the internationalization of education. Research Limitations: The author has used concepts and analysed documents but further empirical researches are in needs to be done in the future on a large scale. Practical Implications: This research study is based on secondary sources and it has disclosed further researches on primary sources regarding the value of teacher education for the 21st century. Originality/ Value: This paper has considerably maintained the originality of the authors’ viewpoints.
Covid Tracking Apps, Over Reliance on Technology, Bias and Unfairness

Various contact tracing apps tracking the spread of the pandemic were issued in different countries. Mainly based on two technologies, centralised with more control by the governments or decentralised controlled by the Apple or Google Android mobile phone systems. In this paper, we will discuss the advantages and disadvantages of the different systems, as well as their potential dangers.
Information System Application Alanysis And Design Web-Based Network Complaints Using Php And Bootsrap On Diskominfo

Network complaints services at the Tebing Tinggi City Communications and Information Office are handled by IT Support, complaints reports regarding network or device problems are received by telephone or Service employees come directly to the office with hardware included. IT Support uses Microsoft Word as an application to input report data regarding network complaints, this system is considered ineffective and can cause errors during input. This study aims to design and build a web-based network complaint application using the codeigniter and bootsrap framework. As for designing this website system, the researcher uses programming, namely MySQL as the database and PHP as the programming language, while the system development method uses Waterfall. The results of this study are a website-based network complaint application which is expected to provide a solution so that service and data processing of network complaints can be handled more quickly.
Embodied Metarepresentations

Meaning has been established pervasively as a central concept throughout disciplines that were involved in cognitive revolution. Its metaphoric usage comes to be, first and foremost, through the interpreter's constraint: representational relationships and contents are considered to be in the “eye” or mind of the observer and shared properties among observers themselves are knowable through interlinguistic phenomena, such as translation. Despite the instability of meaning in relation to its underdetermination by reference, it can be a tertium comparationis or “third comparator” for extended human cognition if gauged through invariants that exist in transfer processes such as translation, as all languages and cultures are rooted in pan-human experience and, thus, share and express species-specific ontology. Meaning, seen as a cognitive competence, does not stop outside of the body but extends, depends, and partners with other agents and the environment. A novel approach for exploring the transfer properties of some constituent items of the original natural semantic metalanguage in English, that is, semantic primitives, is presented: FrameNet's semantic frames, evoked by the primes SEE and FEEL, were extracted from EuroParl, a parallel corpus that allows for the automatic word alignment of items with their synonyms. Large Ontology Multilingual Extraction was used. Afterward, following the Semantic Mirrors Method, a procedure that consists back-translating into source language, a translatological examination of translated and original versions of items was performed. A fully automated pipeline was designed and tested, with the purpose of exploring associated frame shifts and, thus, beginning a research agenda on their alleged universality as linguistic features of translation, which will be complemented with and contrasted against further massive feedback through a citizen science approach, as well as cognitive and neurophysiological examinations. Additionally, an embodied account of frame semantics is proposed.
ARTIKEL ADMINISTRASI KEUANGAN

Financial administration is very important implementation in schools. Financial administration is one of the efforts in managing finance in schools. Because in a school requires finance to support the learning process to take place as it should. Financial Administration needs to have a record and supervision in its implementation.
SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK – CHALLENGES AND SOLUTIONS

SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK – CHALLENGES AND SOLUTIONS
STUDENT SOCIOECONOMIC STATUS AND EMPLOYMENT EXPECTATIONS: DO POORER STUDENTS EXPECT LESS?

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 1473-1479ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.0387Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
The Importance of Work As a Value in the Minds of Russians

The publication is devoted to the analysis of the perception of work as a value in the value consciousness of modern Russians. The purpose of this publication: to analyze the value of work in the minds of Russians and to determine its importance in different age groups. Subject of publication: work as a value in the structure of the value consciousness of Russians. Subject: the importance of the value of work in different age groups of Russians; factors influencing the importance of work. The method of obtaining empirical data is a secondary analysis of information, including thematic normative documents (legislative acts of the Russian Federation), sociological research, the results of cross-cultural research, etc. Practical significance of the work: identifying factors that influence the importance of the value of work in the minds of Russians. The scientific novelty of the publication is the use of the results of cross-cultural studies to form conclusions. Scope of the results: the main findings of the study can be applied to innovate training courses in the sociology of social groups, sociology of professions, axiology.