Reviewerly/exHarmony huggingface dataset:
Red Blood Cell Histogram and Indices Obtained through Automated Hematology Analyzer and Comparing it with Manual Blood Film Examination

Background: In current scenario, using an automated haematology analyzer in a haematology laboratory is both a routine and an important need. Anemia is a common ailment around the world, and there is a growing need to diagnose and treat it, since it can lead to a slew of consequences in the long term.&nbsp; Aim of the Study: The purpose of this study was to compare the sensitivity of red blood cell histogram and indices acquired using an automated haematology analyzer to manual blood film inspection in anaemia patients. Material and Methods: This observational cross-sectional study was conducted at a tertiary care centre in Gujarat, at the Central Hematology Laboratory of the Pathology Department. Thirty patients with anaemia who visited several departments for various reasons were included in the study. Data on demographics and laboratory results were gathered. Epi info software was used to do the analysis. &nbsp;&nbsp;Results: The study comprised a total of 130 patients who met the WHO criteria for anaemia diagnosis. The sensitivity of the histogram was found to be 87.6% in our research. The sensitivity and specificity of the red blood cell histogram and indices for microcytic hypochormic anaemia were 94.2 percent and 63.1 percent, respectively. The sensitivity and specificity of the red blood cell histogram and indices for normocytic anaemia were 96.7 percent and 49.1 percent, respectively. The sensitivity and specificity of the red blood cell histogram and indices for macrocytic anaemia were 98.2 percent and 90.3 percent, respectively. Conclusion: The study found that while automated haematology analyzers' red blood cell histograms and indices are beneficial for initial screening and provide an overall picture of the type of anaemia, manual blood film examination remains the gold standard test for final diagnosis and confirmation
Microprocessor control of the drained triaxial test

A dearth of highly skilled technical staff in Zimbabwe led the Ministry of Energy, Water Resources and Development to invest in electronic hardware and laboratory equipment. The objective of the capital intensive exercise was to reduce the reliance on technical staff, who could be replaced by a combination of the microprocessor system and senior technical assistants. Particular aspects of the program system are designed to avoid operator decisions or interpretation of data. This involves close monitoring of each stage of the test. The rapid reading facility combined with the ability to store and/or process large quantities of data has led to the use of simple numerical analysis techniques to improve accuracy and assist in decision making. Data storage during the course of the test enables the recovery of selected data.
Curriculum Making as Lives in Extremely Small-Sized Classroom: Focusing on the Teacher’s and Children’s Lives

이 연구의 목적은 초등학교 극소규모 학급에서 교사와 어린이들이 어떻게 삶으로서의 교육과정을 만들어 가는가를 내러티브 탐구를 활용하여 살펴봄으로써 극소규모 학급 교사와 어린이의 삶을 이해하는 데에 있다. 연구 참여자는 극소규모 학급 교사와 4명의 어린이들이다. 자료 수집은 5개월 동안 3번의 교실관찰과 8번의 교사면담을 통해 이루어졌다. 연구결과는 차이를 존중하는 교육과정 만들어가기, 놀이와 실생활에 기반을 둔 교육과정 만들어가기, 관계에 기반을 둔 교육과정 만들어가기로 나타났다. 그 과정에서 교사는 교실에서 권위를 공유하고, 어린이들과 그 가족의 삶을 이해하고 가족과 협력하며, 학교의 지배적인 이야기에 맞서며 교수실천을 수행하고 있었다. 연구결과를 바탕으로 극소규모 학급의 가능성과 한계에 대해 논의하였다. 극소규모 학급은 아이들이 능동적인 학습자로 자신의 속도에 맞추어 배울 수 있는 공간이 될 수 있으며, 교사는 교육과정 개척자로서 역할을 할 필요가 있고, 복식 학급 교사 지원을 위한 정책 수립과 이행이 반드시 필요함을 강조하였다. The purpose of this study is to understand the lives of teachers and children by examining how teachers and children make the curriculum of lives in an extremely small-sized class, using narrative inquiry. The participants consisted of a teacher and four children. Data were collected through classroom observations and teacher interviews conducted for 5 months. The research results showed propositions to create the following: curriculum that respects differences, curriculum based on play and real life, and curriculum based on relationships. In this process, teachers shared their authority in the classroom, understood the lives of children and their families, and collaborated with them. The teachers engaged in teaching practices by confronting the dominant story of the school. Based on the research results, the possibilities and limitations of a extremely small-sized class were discussed. This study emphasized that the extremely small-sized class can be a space where children can learn at their own pace as active learners. Furthermore, teachers need to play the role of curriculum maker, and policy establishment and implementation to support multi-aged class teachers are essential.
Experimental Research Of Psychological Support Of Development Of Communicative Competence In High School

In this article, we described an experimental study of the psychological support for the development of communicative competence of future specialists. Since in the competence approach the result of education is viewed as the ability to act in different situations, a brief literature review of the concept and problems of the competence approach in vocational education was conducted. Comparative results of an experimental study conducted in two higher educational institutions teaching students of pedagogical and medical profiles are presented.
Study on Title Encoding Methods for e-Commerce Downstream Tasks

In an e-Commerce marketplace there are usually many downstream tasks which have (relatively) less available resources than the few mainstream priority tasks, like recommendation or search. Examples of these tasks are product categorization, counterfeit detection, forbidden products detection, package size estimation, etc. Usually in these tasks the product titles are an appealing feature since they integrate key aspects of the product, are cheaply available and are easy to process. In this setting it makes sense to invest in a few high quality models that extract as much information as possible from the title and are sharedamong many downstream tasks. The present work explores the performance of different models to address different downstream tasks that are present in our marketplace. We also propose an adaptation of a deep network architecture from the Computer Vision field: ``Bootstrap Your Own Latent'' (BYOL), to learn product embeddings based on the title and compare it to several industrial baselines as well as some state-of-the-art supervised models. We found that although in some cases neural network based encoders can be very useful, in many scenarios the baselines given by shallower models are still hard to beat.
Съвременни подходи за управление на стреса в училищната организация

The article deals with issues related to the study of the problem field of the phenomenon of stress in the school organization. On the basis of my own research, opportunities are presented for organizing the work on stress management in the functional space of school activities. The high social significance of these activities is emphasized, which are especially important in the social and professional space of the school organization. The whole spectrum of social relations, the variety of communicative contacts realized at different levels and with different categories of participants in school relations objectively lead to situations that can destabilize the personality of teachers and leaders and lead to the emergence and development of stress. The article presents stress’ essential characteristics, factors that determine its appearance, ways to manage it.
A Web Based British Sign Language System

The hearing impaired or deaf people communicate or express their ideas with the help of body language or movements called Sign language gesture. The sign language notation is the structure is completely based on the information get from the signing space, shape of hands, bodily movement, and facial expression. British sign language (BSL) is the popularly used sign language system in the UK. Lack of proper guidance complicates the communication process as most of the time normal people does not have much knowledge about BSL. With the help of deep literature review, some existing systems involves in the translation of natural language to sign language and vice versa are studied. The system that involves in the capturing of hand gestures with wearable gears does not have the capability for storage while dealing with lot of data and hence the efficiency gets reduced. Other systems that relay on camera to detect the body movement may be inefficient when the user's device image capturing capacity are poor. When comes to the simulation of avatar to produce the sign language visually can also reduce the performance when the simulation goes wrong when the system fails to trigger the gestures at the proper time. By keeping all the research in mind along with the availability of internet abundantly which helps people to access any system available on the internet very easily. So, the model proposed is based on internet where the accessibility of the system would be much easier instead of delivering and creating using other technical options that are specifically designed for computer or mobile or operating system. At the initial phases, the collection of latest BSL sign Bank into the database provides exact dataset collection. The proposed system is a web-based portal which allows the user to provide the input in the form of text and then converts the given text to BSL with the help of dataset collection form the database and provides proper guidance for the usage of BSL effectively. The web-based application can be accessed by the user who are signed up in the portal with the user details. With the help of this project, data related to the translation will be stored in the database along with the error log, hence the efficiency of the system increases by increasing the accuracy of the result. Unlike the avatar simulation, the result are image and video based which are validated and pre-saved. This can prevent the uncertainty of providing wrong translation.
Intake

OpflowVolume 48, Issue 4 p. 2-2 Departments Intake First published: 04 May 2022 https://doi.org/10.1002/opfl.1669Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume48, Issue4May 2022Pages 2-2 RelatedInformation
THE VALUE OF IT DATA

This research was carried out to design a data strategy focused on the relationship management of a company in the financial sector in Colombia. For this purpose, different knowledge activities were developed; initially, deepened knowledge of it of the organization and its business initiatives. Based on the identified needs, the data that support these initiatives were identified and known, using as a basic instrument the design of a conceptual model. Likewise, the life cycle of the data was documented and its interaction with business processes was analyzed. Also, the state of the general capabilities in data management was known. Based on the knowledge achieved, the work plan was designed to ensure that the highest value of the data is obtained in the area selected as a pilot (relationship management).
Making Muslim the Enemy: A Transitivity Analysis on Anti-Islam Hate Speech

This article presents an analysis on online anti-Islam hate speech in term of its persuasiveness.Like the other types of hate speech, in anti-Islam hate speech there is an element of persuasion to make its readers believe on the truth of the statements.Using Halliday's transitivity framework in Systemic Functional Linguistics (SFL) the data which were taken from the comments responding to the Video of Donald Trump's speech on Recognition of Jerusalem as Israel's capital city in four selected YouTube channels were analyzed to reveals how the process types used in the clauses expressing anti-Islam hate speech becomes a persuasion tool to persuade the readers on the truth of the messages conveyed in the hate speeches.The result shows that the process types are employed to provide evidences.All of the evidences are presented to prove the readers on the negativity of Muslim and Islam.
Modular-Cybernetic Approach for Development of Digital Competence of Students – Future Teachers

The present research aims to investigate opportunities for the development of digital competence of future teachers through the application of a modular-cybernetic approach and a technological variant developed on its basis. The experimental research focuses on diagnosing the cognitive and practical achievements of students in order to identify the possibilities and limitations of the modular-cybernetic approach in the development of digital competence. The empirical research was conducted with a group of 86 students admitted to study Bachelor’s degree in the professional field of Pedagogy. The system of criteria and indicators in the course of the empirical research is used as a “core of the competence” with an emphasis on the cognitive and practical achievements. The Wilcoxon’s Test (Wicoxon) is utilized to compare correlating groups. The results of the Wicoxon application show that the modular-cybernetic approach for the development of students’ competence has a greater than average impact on knowledge formation and also affects the development of cognitive skills to a small extent. On the other hand, the applied technological variant does not help the development of problem-solving skills and practical-applied skills.
Privacy Concerned on Contact-Tracing Application during COVID-19

The COVID-19 pandemic has greatly affected humanity by destabilizing the world economy through strain on hospital systems and deaths. Medical personnel is working around the clock to establish vaccines. On the other hand, technology contributes to the fight against the virus by tracking COVID-19 infections. Many digital contact tracking smartphone applications have been created to address this epidemic successfully. However, the applications lack transparency, raising worries about their privacy. Contact tracing has been employed to stop the spread of the disease. When battling the coronavirus epidemic, computerized contact tracking has quickly emerged as an essential tool. Therefore, the research conducted in this paper focuses on the challenges of tracking applications to analyze the perspective view of privacy issues. Besides, the paper proposes policies for data privacy to aid in making the tracking applications more effective and successful.
Remote Usability Testing

Usability evaluation is an essential step in the user-centered design cycle. To do so, different approaches and methods are available: model-based evaluations, inspection-based evaluations and usability and user experience testing. This latter method is probably the most documented one. There are countless articles and books on it. With the Internet, remote usability testing has gained popularity, especially for testing Web sites. In remote user tests, researchers and participants are in different locations and participants use their own hardware and software. This is made possible by different technologies. This approach which complements traditional user tests conducted in user labs has been the subject of many comparisons with the traditional approach. The aim of this chapter is to present a state of the art in remote usability testing. This chapter will thus present the differences between the two approaches in terms of methodology and tools and present the advantages and drawbacks of each.
A Bilateral Context and Filtering Strategy-Based Approach for Chinese Entity Synonym Set Expansion

Entity synonym sets play a significant role in many entity-based tasks. Robustly discovering entity synonym sets requires analyzing the linguistic and semantic features of entities in the target language. Although there are many approaches to expand entity synonym sets from English text, it is still difficult to expand entity synonym sets robustly from Chinese text because of the flexibility and complexity of Chinese language expression. In this paper, we propose an approach for expanding Chinese entity synonym sets via bilateral context and filtering strategies. Specifically, the approach mainly includes three parts. First, the approach gains a large-scale Chinese entity vocabulary from a Chinese knowledge base and applies an entity linker to generate Chinese entity synonym set datasets using a Chinese encyclopedia. Second, a bilateral-context-based Siamese network classifier is presented to learn whether a new input Chinese entity should be inserted into the existing entity synonym set. The classifier tracks the association semantics of bilateral contexts among entities, which is capable of imposing soft semantic constraints to promote the robustness of the classifier. Third, an entity synonym set expansion algorithm combined with the above classifier and two entity expansion filtering strategies is presented to expand the Chinese entity synonym sets. The strategies enhance semantic and domain consistency to filter wrong synonym entities, which is capable of mitigating error propagation caused by the classifier. Experimental results on two Chinese real-world datasets demonstrate that the proposed approach is effective and outperforms the compared state-of-the-art approaches in the Chinese entity synonym set expansion task.
The Effect of Applying Banking Regulations on Banking Performance of MENA Region Countries

This paper attempts to investigate the effect of applying banking regulations on banking performance. This has been conducted on 19 MENA region countries (Egypt, Sudan, Lebanon, Libya, Iraq, Tunisia, Algeria, Morocco, Qatar, United Arab Emirates, Saudi Arabia, Bahrain, Palestine, Oman, Djibouti, Turkey, Kuwait, Jordan and Mauritania), on a yearly basis over the period from 2008 to 2018. Banking regulations has been measured by each of capital adequacy requirements (capital base to risk-weighted assets), liquidity requirements (liquid assets to total assets), legal reserve requirements (balances with CB to banks' deposit), leverage requirements (total equity to total assets) and provisions policy (total provisions to total capital), while Banking performance has been measured by each of banking efficiency using (data envelopment analysis "DEA" & operational efficiency ratio), banking stability (ABSI & Z-score indexes), credit risk ("non-performing loans" & "provisions for non-performing loans") and profitability (return on assets & return on equity). Results indicate that there is a significant effect of applying banking regulations on each of "banking efficiency", "banking stability", "credit risk" and "profitability". This has been conducted using panel data analysis according to static panel models (SPM) according to three models (pooled regression, fixed effects and random effects).
An Extended Notion of Hinterland Connectivity to Analyze Multimodal Integration in European Hinterland Service Networks

The competitive position of sea ports depends on their capability to forward incoming cargo from overseas to its final destination. Such capability is associated with the hinterland connectivity of the sea port. Hinterland connectivity of a port is mostly treated as a local indicator, describing the number of different hinterland locations served by a port via a direct service. However, with intermodality being on the rise, transfer connections and connections including multimodal transshipment become more feasible and common. This turns hinterland transport into a complex multimodal network, whose connectivity cannot be captured by the existing local notion. Using methods from the science of complex networks, this work extends the notion of hinterland connectivity by non-local (network) and multimodal aspects, and uses this notion to analyze hinterland connectivity for the European hinterland transport network of scheduled rail and barge services. The results show that overall structural capability to perform hinterland transport assignments increases tremendously as transfer connections and multimodal routes are established. Moreover, non-local measures show that ports with poor local connectivity can still be well positioned within a network, an insight that would be overlooked in a purely local analysis. Last but not least, all ports benefit individually from multimodal integration, but some do more than others. For instance, 'Multimodal hubs' are the most important contributors to multimodal integration, but their relative accessibility does not improve much.
Journal Recommendation System for Author Using Thai and English Information from Manuscript

There are thousands of academic journals in various fields of study. An article author must spend significant time searching and selecting a journal suitable for the article’s content before submitting it to a journal for consideration. Since many articles are submitted to a journal at a time, it would take time for an editor to review, submit it to reviewers, and inform the results back to the author. If the article is rejected due to mismatched journal content, the author will spend more time to re-submit the article to another journal. Therefore, this research introduced a recommendation system to help the author choose an appropriate journal more effectively, based on TCI Thai Journals Online Database (ThaiJO). Data from Thai and English articles were used for analysis in this research. Our work involved studying the applied data, cleaning the data, and modeling, which included calculating the importance of text by Term Frequency - Inverse Document Frequency (TF-IDF), calculating similarity scores between articles and journals using Cosine Similarity and then ranking the scores to recommend the most suitable journal. This research experiment with modeling between a model from Thai data, a model from English data, and a model using both languages. The experiment shows that when we combine Thai and English keywords and abstract data, the accuracy in the form of hit rate is improved to 0.80650 from applying only English (0.78793) or Thai data (0.62888).
A Proposal for Zoom-in/out View Streaming based on Object Information of Free Viewpoint Video

Free viewpoint video (FVV) service is an immersive media service that allows a user to watch it from a desired location or viewpoint.It is composed of various forms according to the direction of the viewpoint of the provided video, and includes zoom in/out in the service.As consumers' demand for active watching is increasing, the importance of FVV services is expected to grow gradually.However, additional considerations are needed to seamlessly stream FVV service.FVV includes a plurality of videos, video changes may occur frequently due to movement of the viewpoint.Frequent occurrence of video switching or re-request another video can cause service delay and it also can lower user's quality of service (QoS).In this case, we assumed that if a video showing an object that the user wants to watch is selected and provided, it is highly likely to meet the needs of the viewer.In particular, it is important to provide an object-oriented FVV service when zooming in.When video zooming in in the usual way, it cannot be guaranteed to zoom in around the object.Zoom function does not consider about video viewing.It only considers the viewing screen size and it crop the video view as fixed screen location.To solve this problem, we propose a zoom in/out method of object-centered dynamic adaptive streaming of FVV in this paper.Through the method proposed in this paper, users can enjoy the optimal video service because they are provided with the desired object-based video.