Reviewerly/exHarmony huggingface dataset:
Cloud-based platform for human-in-the-loop re-annotation of whole slide imaging: large scale semantic pathology segmentation

In our previous work, we have demonstrated that it is possible to use a small bootstrap set of fully annotated regions of interest (ROIs) to generate segmentation results on the WSI scale. In this work, pathologists were asked to edit the previously generated annotations on 150 WSIs, focusing on only the tumor class. Of these re-annotated WSIs, 21 were then sampled from, and used to train a new version of the classifier. Segmentation results were then generated for the remainder of the images. This work demonstrates an improvement in segmentation of the tumor class.
A Systematic Review on Image Registration in Interventionist Procedures: Ultrasound and Magnetic Resonance

Medical images are a powerful tool to help the physicians in diagnosis and planning a surgery. Ultrasound (US) and Magnetic Resonance Image (MRI) are the most used techniques in the literature with this purpose. Both have their positive points and negative points related to the quality of the image acquisition, some parameters which are looked for are if the same technique, or combination, can give a high-quality definition of the position and fast acquisition of the image. With this worry in mind, this work has the aim to answer a specific question: “Which are the characteristics of ultrasound and magnetic resonance image registration methods for interventional procedures?”. We used the PICOS (Problem, Intervention, Comparison, Outcome, Study) tool to define the search. As the inclusion and exclusion criteria were the year range (from 2013 to 2019) and if the study applied both US and MRI for image registration. As a result, 22 out of 96 articles matched the criteria. It was observed that Urology, Neurology, Hepatology, Cardiology and Gynecology are the medical fields in which the US and MRI combination are most used. There was a preference by the authors for the use of non-rigid transformations for recording US and MRI images. This fact can be justified by the need to consider the difference in the shape of structures in the US and MRI images for registration. The accuracy was the most used metric in the evaluation of image recording methods. The metrics used to assess accuracy varied according to the study field.
The PREPARATION OF TEACHERS OF HIGHER TECHNICAL EDUCATION TO ACTIVITIES IN CONDITIONS OF INNOVATIVE CHANGES

The modern requirements of society, industry and government to technical university graduates define the direction of new studies at technical education. The task for modern university is seen at preparation of innovative specialists of technical education, that are able to work in conditions of unknown future, technical risks, and dangers; to construct technologies of high order with consideration of humanly accepted values and ethical norms. The success to achieve this task is provided by the preparation of teachers of technical education to organize innovational educational program, that faces requirements of society of new innovational tenor; to form professional-oriented education environment for future engineers and to organize different forms of interaction (remote, mixed, tutor-based and etc.); to master competencies of new type (scientifical-research based, managerial, entrepreneurial). The aim of the article is to find the degree of readiness of teachers to organize own activity and activity for students in conditions of innovative changes. The scientific novelty of research is based on enriching ideas of activity-based approach with knowledge on specific features of higher technical education teacher activity, that work with students of engineering majors; professional psychological-pedagogical, methodical, didactical tasks that they solve in organizing the educational process. The practical importance is seen at the opportunity to use the resource for conducting further research, studying difficulties of higher technical education teachers, development of scientific materials for listeners of increasing qualification courses.
Efficient Peer-to-Peer Content Dispersal by Spontaneously Newly Combined Fingerprints

A peer-to-peer network is a distributed network design made out of individuals that make a touch of their resources, for instance, taking care of force, circle accumulating or association information move limit clearly to organize individuals without the necessity for central coordination events. There are many mechanisms in which use time-consuming protocols and unicast attitude for dispersal that sort out not measure for a bulky quantity of consumers. To overcome these challenges, we accomplish recombined fingerprint with effectual, mountable, privacy-preserving, and P2P-based fingerprinting system public-key encryption in dispersal and conspirator sketching technique is considered using binary fingerprints. The proposed method outperforms existing peer-to-peer content distribution mechanism.
A Study on Non-overlapping Multi-agent Pathfinding

In this work, first, we model the non-overlapping Multi-Agent Pathfinding (MAPF) to an NP-complete traditional puzzle called Numberlink puzzle owing to its features. Interestingly, this puzzle is reasonably shown to be analogous to the Flow Free game. Hence an approach that solves the puzzle can be considered as the AI for solving Flow Free game. Then, we investigate various promising approaches such as SAT, Heuristics, and Monte-Carlo Tree Search (MCTS) based methods to find a fast and accurate solution and provide a fair comparison. We implement and evaluate two SAT and MCTS-based approaches. Finally, we propose an enhanced MCTS with three optimizations to solve the problem faster with lower memory consumption, particularly in significant test sizes with many agents. All the methods are compared and analyzed on the same test cases in different grid sizes and various agents. The optimized MCTS-based method solves the most extensive test case with a size of 40 $$\times $$ 40 with 100 agents in 988.5 s, respectively, indicating 22.8% and 63.6% improvements in time and memory consumption compared to the state-of-the-art MCTS-based method. It also shows 72% and 39.2% improvement in performance with lower memory consumption than the best results of investigated SAT and heuristic-based methods, sequentially.
SELFIE Helper, an Automated Support Chatbot for the SELFIE Platform

SELFIE (Self-reflection on Effective Learning by Fostering the use of Innovative Educational technologies) is a free tool designed to assist schools in embedding digital technologies into teaching, learning and assessment. However, in many cases, school representatives have questions regarding the registration process. They have to ask SELFIE representatives in each involved country of the project and wait for their response. This approach does not allow them to finish the registration process before they get the answer and causes more work for SELFIE experts per country. SHERPA (SELFIE HElpeR & Pedagogical innovation Assistant) is a two-year Erasmus + ΚΑ3 project with a mission to enhance innovation in schools by supporting self-assessment processes for making better use of digital technology in teaching and learning. One of the key outputs of the SHERPA project is the SELFIE Helper, a component based on chatbot technology that is responsible for providing automated step-by-step assistance to schools when registering to the SELFIE platform. The goal of SELFIE Helper is to enable schools to further exploit SELFIE to its full potential as a tool for Digital Competence development through self-elevation. This paper presents the architecture of the SELFIE Helper tool and the technologies used for building it. Initial internal evaluation results show that the proposed approach can lead to the development of chatbots that can help users and provide automated support when this is necessary, thus improving processes, such as SELFIE registration.
BYERUS: A 2D Mobile Application Game Raising Awareness, Attitude, &amp; Practices Related to Coronavirus Pandemic

In 2021 COVID is still prevalent, thus remembering and practicing proper hygiene is a must for everybody. Practicing good hygiene is one of the ways we can protect ourselves and others from contracting the virus. The information and reminder of practicing good hygiene can be disseminated in many ways such as via flyers, social media post, news announcement and more. Today knowing that games are becoming mainstream it can be said that with the use of games, we can also spread awareness. Thus, this paper presents the development of the game ByeRus – is a 2D Android exclusive game where it reminds or promotes the practice of proper hygiene. This paper describes the game design, related literature, result and discussion, conclusion and recommendation. The game has been well received by the surveyors and it has achieved its purpose by spreading awareness and reminding people to practice proper hygiene. With this, games can give a positive impact back to society, though more research is required.
Private Life, Freedom of Expression and the Role of Transnational Digital Platforms: A European Perspective

Transnational digital platforms have contributed greatly to freedom of expression, not least including easy access to information. However, they have also enhanced private life infringements such as the unconsented distribution of nudity, sexual activities and fake porn. We may look to the European Court of Human Rights (ECtHR) which has dealt extensively with the balancing of freedom of expression and the protection of private life. The Court has developed a set of criteria to balance the rights; The criteria are not perfect, but they are workable, and they include criteria such as ‘contribution to a debate of general interest’ and ‘the methods involved’ when collecting and distributing information, including pictures. However, companies including transnational digital platforms, are not legally bound by international human rights law, only states are. To address this, the UN has developed United Nations Guiding Principles to Business and Human Rights. These Principles do not create legal obligations, but duties including the duty to address human rights adverse effects of their activities. So far, the transnational digital platforms have done little, if anything at all, to address private life infringements. As of late, Facebook has indeed established an Oversight Board and declared its commitments to the UN Guiding Principles. This is a step in the right direction but overtly insufficient, as it solely addresses infringements of freedom of expression, but not any other human rights infringement such as violation of private life.
Research on Cyber Security Standards of Nuclear Power Industry Control System

The cyber security of the industrial control system in the nuclear power plant has attracted widespread concern all over the world. To improve the cyber security level of nuclear power industrial control system, the construction of supporting cyber security standard system is the top priority. This paper analyzes and compares the main cyber security standards at home and abroad, and puts forward some suggestions on strengthening the cyber security protection and standard construction of the industrial control systems in China's nuclear power industry.
Are There Trade-Offs with Mandating Timely Disclosure of Cybersecurity Incidents? Evidence from State-Level Data Breach Disclosure Laws

On March 23, 2022, the SEC proposed that firms publicly disclose their cybersecurityincidents within four days of discovery. In the U.S., state-level data breach disclosure lawsrequire firms to disclose the occurrence of a data breach, with some mandating disclosure withina deadline while others do not. Exploiting this state-level variation in disclosure deadlines, wefind that, when facing a deadline, firms disclose a data breach 90 percent faster but are 58percent less likely to disclose breach details. Investors respond negatively to delayed breachdisclosures but are forgiving of a delay when it is used to gather more breach details. Our studyhighlights the trade-offs of mandating a disclosure deadline for cybersecurity incidents.
Contributions to Hadoop File System Architecture by Revising the File System Usage Along with Automatic Service

The usage of unstructured data is becoming obvious by companies and social media is raised heavily from past decade. The sharing of images, audio, and video content by the individual user and corporate can be observed everywhere. The current work focused on the Hadoop framework revision contributions so as to improve the performance of the eco system in the context of space and time parameters. The architecture basically provides the usage of Hadoop Distributed File System (HDFS) and MapReduce (MR). We are proposing certain revision contributions so that the process of importing and processing of the tasks can get the benefit of time and space usage in the effective and efficient manner. The work provides the service running in two different ways which reduces the time requirements of the cluster management. In the distributed environment, this revision helps in the reduction of waiting time for the start of the service. The other context we have focused on, the local file system handler in the data storage and processing of the data, the provision of using the file system according to the proposed architecture, will handle the CPU context switch while performing the import and export process in the running of the jobs. The outcome of the work is revision architecture to reflect the service initiation by all the machines in the cluster and file system revision approach to minimize the CPU context switch, while performing the storage and processing relevant aspects of the Hadoop cluster.
Agile project management workflow for libraries

With the onset of COVID-19, the information access patterns have completely transformed. The lockdowns and closures have changed the way librarians work and interact. Working in a virtual manner requires new ways to connect and collaborate in a time bound manner for library staff. Agile project management workflow has been a buzzword in industry and corporations for a considerable amount of time now. Adopting Agile methodologies will help librarians work in an effective and quick manner to better serve their patrons and meet their growing information needs in both traditional, virtual and hybrid libraries. Collaborating across cross functional teams on a daily basis with a planned list of tasks and goals to achieve can maximize the impact of libraries. A well planned sprint allows the staff to meet short term goals and keep a track of the ongoing operations and tasks. This study explores the application of Agile Project Management methodologies for libraries, with use cases for library housekeeping operations and day to day activities to meet user needs. Use cases and examples have been traced as a blueprint to adopt these methodologies in libraries allowing teams to customize the workflow as per their users and libraries.
On Local Projection Based Inference

Montiel Olea and Plagborg-Møller (2021) recently propose robust confidence intervals for impulse responses based on the lag-augmented local projection regression, under the full mean independence assumption on the shock process. We show that their uniformity result remains valid for a more general class of martingale difference shocks, as long as score contributions of the lag-augmented regression are serially uncorrelated. We further propose new (tuning-parameter-free) robust confidence intervals which allow for general serial correlation in score contributions.
EFFECTIVE WAYS OF FORMATION OF PERSONAL QUALITIES OF STUDENTS IN THE CONDITIONS OF INFORMATIZATION OF EXTRACURRICULAR ACTIVITIES OF THE SCHOOL

The article emphasizes the need to identify ways to improve the effectiveness of the formation and development of significant personality traits of primary school students in the framework of extracurricular activities carried out in the context of the use of modern information and telecommunication technologies. Within the framework of the research conducted by the authors, the model, principles, conditions, goals, methods and means necessary for the organization of appropriate extracurricular work at school have been consistently developed. Experiments to evaluate a series of extracurricular activities related to circle activities and conducted under the conditions of the use of information technology were conducted during the school year with students of the A. Bokeikhanov Gymnasium No. 1 and Gymnasium No. 49 named after Y. Altynsarina, Taraz, Zhambyl region. On the basis of the series of experiments described in the article, as an example in practice, the possibility of more effective development of educational motivation, educational independence and other personality qualities in schoolchildren under the conditions of the use of pedagogical techniques developed during the mentioned study is confirmed.
A proficient technique for recognizing the online digital signature in Project Registration System (PRS)

In recent education system, project submission is crucial for college students to complete their respective studies. The understudies needed to propose their undertaking before finishing the pre-last year. One of the critical assessment forms like course Project Registration System (PRS) helps the students and their education board to enhance the knowledge and skill level required for competitive world. During project submission, authentication is important to prevent the unauthorized submission of proposal and contrast the signature utilizing classification techniques such as Kernel Based Artificial Neural Network (K-ANN), Kernel Based K-Nearest Neighbor (K-KNN), Kernel Based Self Organizing Map (K-SOM) and Kernel based Support Vector Machine (K-SVM). The data collection based on online digital signature with various students and the proposed classification techniques gives better performance and accuracy compared with other techniques.
Ways of education development

The article describes an assessment of O. E. Lebedev's hypotheses presented in his work “The End of the Compulsory Education System” through a SWOT analysis tool, touches on the structural and regulatory aspects of the development of the general education system. The article describes the competencies that a modern school graduate should have the 21st century. The article considers the role of federal state educational standards in improving the effectiveness of educational activities and the quality of the educational process, in creating conditions necessary to meet the requirements for the quality of the educational process. The conclusion is made about the need to accept the introduction of different types of project activity as the main trajectory of modernization of the education system
DESIGNING A TRANSITION SYSTEM TO PERSONALIZED LEARINING: ANALYSIS OF THE RESULTS OF THE STAKEHOLDER SURVEY

The issue of the transition of schools in Kazakhstan to a personalized format of education using information technology in the context of a global pandemic is relevant and requires careful study. This study aims to identify the factors that contribute to the effective implementation of personalized learning in specialized schools for gifted students. As a method, we chose a real-time survey of stakeholders within the framework of a logical-structured approach. Data processing was carried out using the MS Forms software application. The surveys were aimed at obtaining the views of students, parents and teachers to confirm the real problems of introducing personalized learning in schools. The results of the study made it possible to identify the main five factors contributing to the implementation of software in the educational process of schools and can be taken into account in the process of developing a design system for the transition to personalized learning.
Overview of Image Caption Generators and Its Applications

The emergence of deep learning has transformed mundane tasks and reduced human errors. Image Captioning is an application of deep learning which takes an image as input and gives a well-formed description for the required image based on features and objects present in it. Image Caption Generation has branched out into several applications ranging from assistive technology to agriculture and manufacturing sectors. The existing solutions use this deep learning application to aid visually impaired people by helping them understand their environment, in robotic and industrial applications by automating processes and limiting human intervention. In this paper, we present a detailed analysis of different uses of image captioning, technologies implemented, their limitations and the scope to extend utilization in other domains.
Breast Cancer Detection and Prediction Based on Conflicts in Fractal Patterns

In the era of big data analytics, prediction of various deceases with the help data science methods is common among researchers. Although applying tools and using eco-system which is the integration of various sciences and technology is tough for many. Researcher belief that human brain is the most advance machine with all king of tools, technologies and reasoning exist. Visual analytics is the most simple and effective means to detect and prevent any deceases. In this research, authors used story telling methods based on visual analytics to explore different conflicts exist in the data set. In this research, researcher found that average age of detection of breast cancer is 45 to 49 in most of the cases and data sets. But by seeing different conflicts in the data as well as patterns of classification, we can able to predict and detect breast cancer much earlier based on visual analytics and storytelling method. Conflicts in the data shows variation in the usual patterns and this leads to the different problems in subject. Detection and prediction of diseases like breast cancer is most effect in this era of medical science. Based on the conflicting pattern in the data, authors build story and tried to give resolution of the problem in terms of early detection and prevention of breast cancer.