Reviewerly/exHarmony huggingface dataset:
INVITRO DETECTION OF BIOFILM FORMATION IN CLINICAL ISOLATES AND COMPARISON WITH ANTIBIOGRAM

Background: Biolms cause increased antimicrobial resistance and persistent infection. Aim:To detect biolm production in clinical isolates using phenotypic tests and study antibiogram. A prospective cross sectional study Method: conducted in Microbiology , KMCH IHSR. Total 94 isolates identied by standard procedures were subjected to biolm detection by Tube &amp; Tissue Culture plate method. Antibiogram was performed by disc diffusion. The most common organism was Escherichia coli (42%) followed Results: by Klebsiella species (19%). Predominant Grampositives, were Staphylococcus aureus and Enterococcus species (36%). 6 isolates were completely resistant to antibiotics. TCP was superior to tube method. The total number of biolm production by tube and TCP method was 36(38.3%), only TCP method 46 (49%) and either by tube method or TCP method 82 (87%). Biolm producers showed higher resistance. Simple, cost-ef Conclusion: fective test may be conductedroutinely to assist surgeons / clinicians in effectively managing infections, reducing mortality and morbidity
Using methods for solving trigonometric equations in a school mathematics course

The article describes the program of the trigonometry section in the school mathematics course and the application of trigonometry in life. The introduction defines trigonometric equations and mentions the types of solutions to the equation. The examples show methods for solving trigonometric equations. The ways of solving simple trigonometric equations and the possibilities of their independent solution are illustrated. Separately, methods for solving equations were noted, which are actually little used in the school mathematics course. According to the results of the study, about ten types of methods for solving trigonometric equations were identified. In order to reveal the essence of the methods of solving trigonometric equations, the problems for each method are considered and the ways of deducing these problems are shown. In addition, this article discussed the difficulties faced by students in solving trigonometric equations, and the methods proposed by A. G. Mordkovich in solving these problems. In the final part, the results of the methodological experience of teachers are summarized, when students practiced solving a series of problems on the topic "Methods for solving trigonometric equations" and teachers identified abilities that can be developed in students to solve the equation. In the future, it is planned to publish a specific methodological manual on the topic "Trigonometric equations and inequalities". Keywords: trigonometric equation, methodology, equation solution, methods.
A survey inquiry into behavioral foundations of hate speech regulations: evidence from Japan

Abstract This paper highlights the concept of dignity as the cornerstone that justifies hate speech regulations in democratic societies. In political theory and constitutional law, the primacy of dignity as the moral and legislative justification for regulating hate speech has already been addressed by dignitarianism, especially in the course of debate with free speech advocates. We aim to augment this important claim in the normative literature with empirical data. Specifically, based on our survey conducted in Japan, where its first national anti-hate speech law had only recently been enacted and ordinary citizens were thus less predisposed of the debate, we show that citizens' concerns about the dignity of a targeted victim lead them to support regulations. Our analysis further clarifies the possible mechanisms of the dignitarian rationale, revealing not only the people's public-centered expectation regarding the societal consequences of hate speech, which dignitarians emphasized, but also the importance of more individual-based judgments regarding morality and justice, in shaping their regulatory attitudes.
The current state and problems of formation of digital competence of teachers

The digitalization process, which is currently rapidly developing at the global level, requires qualified personnel with digital competencies. During the COVID-19 pandemic, the role of digital technologies and its enormous didactic capabilities in the education system were reliably confirmed by the accumulation of experience in organizing distance learning and ensuring the continuity of the educational process. The purpose of the study is to clarify the concept of digital competence and to identify the level of its formation, problems of teachers in everyday practice. The article analyzes the research works of scientists from near and far abroad on the topic of the study, and the conclusions are formulated. The definition of the concept of "digital competence" is clarified and the components of digital competencies (emotional-volitional, social media-communicative, cognitive, activity, reflexive-evaluative) are highlighted and characterized in a meaningful way. The practical part of the study involved 122 teachers of Karaganda, West Kazakhstan, Akmola, Atyrau and Kyzylorda regions who underwent advanced training in IPK in 2019-2021. 14.6% of the teachers in the sample showed a low level of psychological readiness to work with digital technologies, the average level was 45.2%, and the high level was 41.2%. Adapted situational tasks on didactics and digitalization of education for teachers were used to determine the level. Keywords: global digitalization, digitalization of education, digital technology, teachers, digital competence. &nbsp
Professional self-assessment of the future special teacher

The article deals with the problems of professional self-assessment of a future special teacher. Previously, various approaches were investigated in determining the necessary personal and professional qualities, the content of education and professional training of a teacher. For the personality of the future special teacher today it is necessary to develop such qualities as competence, decency, politeness, self-control of their personal and professional behavior. The analysis of scientific works and empirical experience has shown the importance of a holistic study of the professional qualities of a future special teacher. The purpose of the article is the scientific substantiation of the development of professional self–esteem of the future special teacher.&nbsp; A structural and meaningful model of the development of professional self-esteem of students-future special teacher was developed. The model includes three components: cognitive, motivational, and self-management. The experiment was attended by 220 students KazNPU named after&nbsp; Abai&nbsp;&nbsp; university. To establish the level of self-government and self-esteem, diagnostics were used: I. Motkov's questionn aire, G.Kazantseva's questionnaire "Self-assessment of personality", as well as diagnostics of Bubnova's value orientations. The results of the study made it possible to establish an average level of self-management and self-development among students of the 2-3 courses, higher than average in the 4th year. The number of students with normal self-esteem by the 4th year increases from 46.7% to 64.3%. For the development of self-management and self-esteem of students, a new course "Self-assessment elective course" was tested. Keywords:&nbsp;self-assessment, self-improvement, professional, Correctional pedagogy, special education.
Design of Android-based Online Ticketing System Application on Hiba Utama Bus Using Location Based Service (LBS)

Hiba Utama buses still use conventional methods in ordering tickets and searching for the departure schedule of a prospective passenger, namely through outlets/counters and via telephone only. This method is less effective both in terms of time and cost because there can be a discrepancy between the customer's wishes in terms of departure time or even the tickets have sold out. So that information applications and ordering bus tickets are needed that can provide clear information and are not limited by distance and time by using mobile media. This study aims to build information applications and order bus tickets based on Android. The application development stage includes analysis, system design, implementation, and testing. Methods of data collection using the method of literature study, and observation. Android-based bus ticket information and booking applications built with the Java programming language. Android-based bus ticket information and booking applications that are made to provide bus information and ticket bookings. So that it can make it easier for customers to access information and order bus tickets due to the level of effectiveness and efficiency of the function of the mobile itself. The results of system testing show that this application is feasible and can be used as a tool to provide information and to order Hiba Utama bus tickets.
A New Model for Person Reidentification Using Deep CNN and Autoencoders

Person re-identification (re-id) is one of the most critical and challenging topics in image processing and artificial intelligence. In general, person re-identification means that a person seen in the field of view of one camera can be found and tracked by other non-overlapped cameras. Low-resolution frames, high occlusion in crowded scene, and few samples for training supervised models make re-id challenging. This paper proposes a new model for person re-identification to overcome the noisy frames and extract robust features from each frame. To this end, a noise-aware system is implemented by training an auto-encoder on artificially damaged frames to overcome noise and occlusion. A model for person re-identification is implemented based on deep convolutional neural networks. Experimental results on two actual databases, CUHK01 and CUHK03, demonstrate that the proposed method performs better than state-of-the-art methods.
Sensors for Human Physical Behaviour Monitoring

The understanding and measurement of physical behaviours that occur in everyday life are essential not only for determining their relationship with health, but also for interventions, physical activity monitoring/surveillance of the population and specific groups, drug development, and developing public health guidelines and messages [...].
Sentiment Analysis of Malaysians Citizen's Emotion towards Cyberbullying in Twitter

Cyberbullying, also known as cyber harassment, is a prevalent issue that significantly impacts the adolescent population in Malaysia.As a form of abusive online behavior, cyberbullying has expanded beyond the physical world into the virtual space, where monitoring activities and changes can be difficult.In 2020, Malaysia ranked second in Asia for cyberbullying among youths due to the widespread use of social media platforms, which have become an ideal breeding ground for negative behavior.This study aims to develop a web-based system that can analyze Malaysian citizens' emotional responses to cyberbullying using machine learning techniques.Additionally, emotional responses gained from Twitter will be characterized using emotional models.The machine learning life-cycle methodology will be implemented in this study.The findings revealed that anger emotion had the highest percentage compared to other emotions such as fear, happiness, love, sadness, and surprise.Expanding the scope of the study to include other social media platforms and demographic groups may provide a more comprehensive understanding of cyberbullying in Malaysia.These recommendations may improve the effectiveness of the web-based system and facilitate the development of more efficient strategies for preventing and mitigating the effects of cyberbullying in Malaysia.
Breaking the Cycle: Innovations in Criminal Justice Reform Lena Jonas

Breaking the Cycle: Innovations in Criminal Justice ReformLena Jonas
De-identification when making datasets FAIR: Two worked examples

In recent years, the advancement of open science has led to data sharing becoming more common practice. Data availability has clear merits for science as it opens up possibilities for re-use of datasets by others, leading to less redundancy, more efficiency, and more transparency. The ideal is for scientific data to be as open as possible and FAIR: Findable, Accessible, Interoperable, and Reusable. Parallel to this development, recent times have seen more stringent guidelines with respect to data privacy, culminating in the General Data Protection Regulation law, or GDPR. The GDPR is a stringent European law on data privacy that makes it more difficult for researchers to navigate the balance between protecting participants’ privacy and making one's dataset as open as possible. In this paper, we provide two worked examples with real datasets of how to be as open as possible and as closed as necessary, with the goal of maximally facilitating science while minimising the risk of participant identification.
Security and Data Privacy of Medical Information in Blockchain Using Lightweight Cryptographic System

In the healthcare system and hospital environment, the data security and the data connectivity are the major factors to consider for patient data management system. For that, there are several techniques are used to preserve and arrange the patient data with enhanced security system. In that, Blockchain structure of data management improves the secure data storage and transmission process. In the data security system, the quality measure can be validate by means of the size of key that are used for the encryption process. Combined with the blockchain, the encryption model is to be improved for the solve the problem in data security system. This also needs to focus on the size reduction of data storage due to the large key size of encrypted data. In the proposed work, Intuitionistic Derivative Symmetrical Encryption (IDSE) Algorithm based security algorithm along with blockchain function was integrated to form the authorized data storage and transmission process. For the key pattern generation, Differential Hashing Pattern (DHP) based key pattern extraction model was used for high speed data transmission and to reduce the size of data that are encrypted. The features that are considered for the appropriate security system are the data transmission pattern with respect to the time and the hashing model of key generation. In the result analysis, the performance of the IDSE-DHP are validated with the parameters of data transmission and loss rate in the Blockchain and with the throughput related features.
Analysis of the Impact of ICT on Economic Growth: Empirical Data from 16 Regions of Kazakhstan

In the last decade, ICT has significantly impacted economic growth in many developing countries, such as Kazakhstan.In addition, there is practically no analysis of the level of interconnections between the communication infrastructure and economic growth in the regional context.This article will consider the impact on GRP per capita of the following ICT factors: volume of communication services, number of fixed telephone lines, enterprises using computers, enterprises using the Internet, internal costs for R&D by regions, the number of organizations that have created and use new technologies and equipment.The data for the article were collected over ten years, from 2010 to 2020 as part of the dynamic panel data approach, which includes 14 regions and two cities.The initial data were taken from the statistical data of the Bureau of National Statistics of the Republic of Kazakhstan.The methodology used in the article includes the study of the proposed indicators and conducting correlation and regression analysis in the STATA program.The conclusions presented in our work showed that the ICT infrastructure has a significant positive impact on regional development, and the coefficient of elasticity of the ICT infrastructure to regional development is greater than the coefficient of elasticity of the degree of integration.The government can use the results of this study to develop programs to improve regional development.
Extensive Reading as a Gateway to Create Research Gap: Valuable Lessons from Indonesian Expert Authors

Identifying research gaps from the extensive reading process is an inevitable choice for researchers in any field. This study aims to explore various approaches in identifying research gaps that have the potential to become elements of novelty. By using a grounded theory approach, the research reconstructs the cognitive experiences of a number of Indonesian expert authors in identifying research gaps. The results show that scientific journals as the primary source are accessed from the subscription data center; discuss and conduct knowledge sharing with expert groups; bibliography mapping by establishing a basic reference to avoid getting out of the focus of the research topic; state of the art and novelty elements will be seen from the extensive reading; using software to synthesize the literature review. It concludes that the research gap as the forerunner of the novelty element can only be done through an extensive reading process. Through extensive reading allows researchers or scientific writers to find many research gaps that can be explored.
Translation Procedures done by Visually Impaired Translator: An Annotated Study

In understanding a language, people should consider the context usage such the cultural aspect and structure of the language itself. One of the study in translation is annotated translation. Jenny William and Andrew Chesterman reveal annotated translation is a translation with commentary. In this research, the researchers are challenged to know her ability in transferring Indonesian document, “Peraturan Gubernur Jawa Tengah No. 11 Tahun 2017”, a regulation of Central Java Governor to English by using annotated translation. This document contains an important information about fulfilling disabled people rights in Central Java. The researchers applied Larson’s theory in rendering the document. The translation process can be explored into 8 steps, those are preparation, analysis, transfer, initial draft, reworking initial draft, testing, polishing, and preparing the manuscript for the publisher. However, the researchers combined the processes by adding Agus Sri Giyanti’s own procedures as she is a visually impaired translator who was involved in this research. The procedures are converting the data and comprehending the text. This research also examines the classification of disability terminologies and their techniques used in translating the terms in order to establishing acceptable translation. In order to analyze the data, the researchers applied introspective and retrospective methodology. Introspective methodology is a method which is almost similar to the introspection of personal work. A retrospective study examines the factors of a causing problem by looking backward from the beginning of the study. This study firstly, aims at giving explanation for the disability terms on the Pergub Jawa Tengah No. 11 Tahun 2017. Secondly, to evaluate the ability of researcher in translating Indonesian regulation into English naturally. Last, since one of the researchers is a visually impaired translator, hopefully this study may provide some information on how the novice translator with visual impairment could translate Indonesian text into the English one independently.
A Review Paper on Data Encryption and Decryption

Abstract: Cryptography is the technique for hiding data and information from unauthorized users. It is the art of achieving security by encoding messages to make them non-readable. When we send simple message from one location to another then this message called plain text is visible to anybody. If we want to codify the message called cipher text so that no one can easily understand the meaning of message then we use cryptography techniques. There are numerous applications where this technology is used such as ATM pin, Password, Credit Card number or any other secret communication. Cryptography can be divided into following three categories depending upon the types of key used: secret key (symmetric) cryptography, public key (asymmetric) cryptography and hash functions. In this paper we provide review of various types of cryptography techniques.
Study Circle Connect 4U

Abstract: Knowledge is the key resource for most modern organisations. Without a platform to capture and share that knowledge, it’s putting your most valuable asset into the hands of luck. Sometimes, it is possible to meet eminent people online whose interest allign with ours. This system brings people having same interest together by breaking any geographical or social barriers. This Web Application will work as a bridge between people from different areas having same interest and will help to share their wisdom with each other. This Web Application will provide Easy to use User Interface which will bring not only the expert users to the platform but also the beginner level user. This application also tries to keep distraction as low as possible to maintain a closed ecosystem, Chatting, youtube &amp;mock test is a method of using technology to bring people and ideas together despite of the geographical barriers. This system will help people with same interest to express their thoughts and ideas. The system is a project to connect people via all these things while keeping the distraction to the minimal.and if people want to do some relaxtion they can listen music on this web application
Product Comparison and Classification Framework using Python Django

Abstract: In recent years, mobile applications have become increasingly practical for everyday use. This project focuses on providing users with a convenient way to compare the availability and pricing of products across multiple e-commerce websites. By simply entering product information into the application, users can quickly compare pricing from various sources. The application's databases are then searched to display a side-by-side comparison of the product information found on different websites. Additionally, users can receive push notifications when products become available or go on sale, ensuring that they never miss out on a great deal.
MVMS: RNN based Pro-Active Resource Scaling in Cloud Environment

Cloud computing offers various services to its users, ranging from infrastructure, and system development environment, to software as a service over the internet. Having such promising services available over the internet consistently, it has become an ever-demanding facility. As a reliable services provider, a cloud service provider (CSP) needs to deliver its services seamlessly to users and is also required to optimally utilize the resources. Optimal resource utilization eliminates over and under-provisioning and improves the availability of cloud services. Therefore, it is a great need to have a model allowing CSP to systematize its resources to cater to customers' demands. Such a model should be computationally light and quick enough to produce effective results. In this work, a simple yet effective neural network-based resource prediction model named MVMS is proposed, which enables a CSP to predict the customer's resource demand in advance. The results show that compared to GRU, the proposed Multi-Variate Multi-Step (MVMS) model predicts the resources accurately. Thus, CSP can schedule the resources precisely and process real-time requests of users. Experiments on the bitbrains dataset indicate that the proposed MVMS resource prediction model is quick and accurate, with lower RMSE and MAE values.