Reviewerly/exHarmony huggingface dataset:
Review of Artifact Detection Methods for Automated Analysis and Diagnosis in Digital Pathology

This chapter introduces the whole slide imaging system and the major artifacts found in whole slide image (WSI), addresses the challenges of automated analysis caused by the artifacts, and reviews the existing artifact detection methods. The WSI scanner is considered the key to digital pathology. In digital pathology, automated image analysis tools are utilized which automated analysis which can be broadly categorized into two types: Morphological image analysis and molecular image analysis. Artifacts that are produced at different stages of glass slide preparation are considered tissue artifacts and the artifacts produced while scanning the specimen are scanning artifacts. Scanning artifacts are generated mainly due to the hardware failure of the WSI scanner. The chapter reviews the artifact-detection methods by categorizing them into three groups based on the used technology as image enhancement-based approach, machine learning approach, and others. Markiefka et al. performed the diagnosis of deep learning-based classification method.
Not All Fun and Games in #mypokehood

In the midst of the COVID-19 pandemic, game developers of augmented reality (AR) mobile apps have been pushed to evolve and adapt to global lockdowns and user concerns over moving safely through public space. Pokemon GO has been no exception to these changes, evolving game play in response to the COVID-19 pandemic and framing these changes in the context of focusing on user safety and well-being. In light of more recent #BlackLivesMatter calls for action, this chapter examines Pokemon GO’s response to the COVID-19 pandemic to better understand how the pandemic has influenced AR game design, development, and play. Niantic regularly issues updates to Pokemon Go, which typically introduce new features, fix bugs, or announce special events or new Pokemon. When Pokemon GO! was first developed, Niantic used a map from a previous AR game called Ingress, which was built from a combination of crowdsourced data from a Historical Marker Database, and crowdsourced data from early Ingress players.
Introduction to Serverless Technology

If you have been working in the software industry for any amount of time, you will have come across the term serverless in relation to many architectural decisions. So, what is serverless, and why write a book on serverless architectures exclusively?
Serverless Data Platforms

Over the past several years, the amount of data generated by systems around the world has increased, and continues to increase, at an exponential rate. Collecting, processing, and analyzing this data at scale has become an absolute necessity for organizations around the world.
Multicloud Architectures

The term multicloud signifies using multiple clouds for a single purpose. Nowadays enterprises want to harness the power of multiple clouds to run a single application so that they get maximum benefits from the application. This chapter discusses the following aspects of multicloud architectures:
Development and Validation of Critical Reading Intention Scale (CRIS) for University Students using Exploratory and Confirmatory Factor Analysis

Critical reading is a crucial skill that students should acquire upon completion of higher education to obtain employment opportunities.However, their level of critical reading skills has been reported to be unsatisfactory.This study aims to address this issue by developing and validating an instrument that examines the factors that influence students' intention to participate in critical reading.The theory of planned behaviour was employed to develop an instrument for the Critical Reading Intention Scale (CRIS) to gain a deeper insight on this issue.This cross-sectional study collected 120 responses for a pilot study which were subjected to exploratory factor analysis (EFA) using SPSS.Findings from the EFA suggested one item to be deleted.Subsequently, 220 responses were gathered from the actual data collection, and the data were subjected to confirmatory factor analysis (CFA) using AMOS.The results concluded that CRIS instrument fulfils the requirements in CFA and is valid for measuring students' intention to participate in critical reading.CRIS is useful to identify the enablers and difficulties that influence students' intention in critical reading and for relevant stakeholders to take necessary steps to remedy students' unsatisfactory critical reading performance and create an environment that fosters critical reading skills.
Pelatihan Pembuatan Soal Literasi Membaca dan Numerasi Berbasis Asesmen Kompetensi Minimum (AKM) bagi Guru SD Gugus Wahidin Sudirohusodo Kecamatan Jumapolo

TRAINING ON MAKING LITERACY QUESTIONS FOR READING AND NUMERACY BASED ON MINIMUM COMPETENCY ASSESSMENT FOR ELEMENTARY SCHOOL TEACHERS GUGUS WAHIDIN SUDIROHUSODO, JUMAPOLO DISTRICT. The direction of government policy in measuring students' cognitive learning outcomes is to replace Ujian Nasional (UN) with an Asesmen Kompetensi Minimum (AKM). What is measured in the AKM is the ability to read and numerate literacy as a result of students' cognitive learning. Based on the results of an interview with the Chairperson of the Gugus SD Wahidin Sudirohusodo Kecamatan Jumapolo, some teachers have understood the AKM but have not understood about making reading literacy and numeracy questions based on the Asesmen Kompetensi Minimum (AKM). The results of observations also show that teachers have not been able to make reading and numeracy literacy questions based on the Asesmen Kompetensi Minimum (AKM). The purpose of this service is to provide training on making reading and numeracy literacy questions based on the Asesmen Kompetensi Minimum (AKM). The method of implementing the service includes: (1) the approach method carried out starting from the survey, licensing, and providing motivation for teachers who will take part in the training (2) program implementation methods, including the preliminary stage, the socialization and hearing stage, the implementation stage, and the final evaluation stage. The results of the analysis of teacher responses to the implementation of community service indicate that training materials for making reading literacy and numeracy questions based on AKM are needed by teachers in developing 21st-century learning. Teachers feel the benefits of community service activities because they can become new scientific insights into the development of learning activities in schools.
CORPORATE INFORMATION MANAGEMENT PLATFORM BASED ON E-COMMERCE ENVIRONMENT: IN THE CONTEXT OF ENTREPRENEURSHIP

Addressing the e-commerce environment, this study is designed to validate the feasibility of an enterprise information management platform based on cloud storage technology and system testing. Experimental results show that the platform designed in this article has approximately 195 fluctuating processes per second in the average number of transactions per second, which has a better test effect in terms of business efficiency. In addition, other performance index tests have reached the standard. These include a user authentication time of just 0.96 seconds, a material information input time of 2.54 seconds, a material information query response time of only 0.97 seconds, and a relatively fast response time. This research is expected to provide an efficient information management platform for the entire production process for the sales of the enterprise and encourage the development of business management informatics in Turkey.
Implementation of The Fuzzy Tsukamoto Method In Predicting Corn Harvest Results in The Office Agriculture of North Sumatra Province

Corn is a food crop that produces carbohydrates. The increasing need for food is in line with the population growth. The need for corn is an aspect that must be met by the Indonesian government in an effort to prosper the community. in order to determine the quality of corn harvests that are good and in accordance with the desired target. Corn productivity at the North Sumatra Provincial Agriculture Office changes every year. This requires predictions to know the future image for the harvest whether it will increase or decrease. Based on the situation in Simalungun district, a system that can predict corn harvest is needed to assist farmers in predicting how much they will harvest. Results of predicting corn harvest. in North Sumatra Province in 2019 the largest was 767304.6 (tons) and the smallest yield was 51 (tons) and the largest land area was 111386(ha) and the smallest was 554(ha). While the largest harvested area in 2019 was 108898 (ha) and the smallest was 9 (ha). For 2020, the harvested area is 106682 (ha) and the land area is 28412.5 (ha), so the prediction results in 2020 are 205148.16 (tons)
Drone Use Cases and their Privacy Impacts: A Taxonomy

Drones and drone-mounted sensors provide a litany of potential uses for local authorities and municipalities. Early-adopters have piloted and tested the use of drones for specific scenarios. However, widespread implementation requires appropriate planning and development of relevant governance, oversight, and controls to ensure that privacy and data protection rights are respected. This article provides an overview of the evolution of drone-use scenarios and a snapshot of the current state of the art in respect of balancing the utility of drone-mounted sensors against the data protection and privacy impacts of these technologies. We set out a taxonomy of use case scenarios for drones and drone-mounted sensors. The ambition of our taxonomy is to provide guidance and support for policymakers and users of these technologies in assessing and mitigating data protection risks in the operation of drones and drone-mounted sensors.
Optimization of Database Management System

In recent business fields are developing very rapidly, so it needs of access and analyze data in effectively. In information technology systems are more intensive to answer the numerous and complex demands for taking critical decision. Data analyzing and reporting is plays an important role in business fields. Traditional way is using database management system. But there are many obstacles are made by using traditional way, therefore the faster, better, and efficient alternative way is to be found. The columnar database management system is used. This paper gives the brief explanation of columnar database and gives the implementation of column store and row-store. The result is obtained by the comparison of both type.
The Construction and Reform of Higher Vocational Courses under the Mode of School-enterprise Cooperation - Take Document and File Management as an Example

School-enterprise cooperation refers to the establishment of a joint method between colleges and enterprises, which can not only achieve the sharing of talents between schools and enterprises, but also promote the connection of colleges and industries and help enterprises to cultivate more targeted.Taking the management of documents and archives in higher vocational colleges as an example, this paper analyzes the problems existing in the training of talents in school-enterprise cooperation, and proposes countermeasures for curriculum construction and reform, in order to provide reference for teaching workers.
The Training Path of Business English Vocational Ability under Vocational Education at Undergraduate Level

The country vigorously develops vocational education, and vocational education will also develop towards the characteristics of "undergraduate", "college entrance examination" and "specialization".Business English is a comprehensive major that is based on English and involves interdisciplinary subjects.It is also a special major in my country.To cultivate English business professionals with social and market demands, schools need to pay attention to the development paths of relevant majors, and start from a scientific perspective to cultivate business English professional abilities.Under the vocational education at the undergraduate level, teachers need to continuously innovate in teaching methods, effectively improve classroom teaching, and strengthen the training of professional talent teams.This article briefly discusses the training path of business English vocational ability under vocational education at the undergraduate level.
Computer Aided Teaching System for Football Teaching and Training Based on Video Image

With the improvement of instructive changes, PC media innovation has been increasingly more broadly utilized in current training and readiness.The development of new media first depends on our cognition and grasp of the Internet.New media innovation is a new media innovation concept formed on this basis: Internet thinking and "Internet +".In addition, teachers generally feel the adaptability and proficiency that modern multimedia technology brings to education.Multimedia technology can allow students to obtain more knowledge and information in a shorter period of time, ensuring that students can learn complex learning in a simple and easy-to-understand mode.This paper focuses on the application of AI (artificial intelligence) in football teaching and puts forward the related ideas of AI, neural network and computer-aided teaching.This paper embraces the exploration techniques like writing information strategy and numerical measurement strategy, and behaviors as an overview and examination by giving surveys to educators and understudies partaking in open actual instruction classes in a specific college.The experimental results show that 23.3% of the total students think that CAI has a promoting effect on the mastery of knowledge and skills, while only 12.8% of the total students think that it has no promoting effect.Therefore, CAI teaching can undoubtedly promote physical education teaching and improve students' learning efficiency.
Policies and Infrastructures for Innovation and Impact in Open Science

In this interview Paolo Manghi discusses how policymaking, e-infrastructures and funding mechanisms are trying to bring into everyday routine the difficult shift of mindset towards Open Science: a scenario of publishing service systems that supports communities with methodologies to produce concrete, testable and reusable scientific results.
Intelligent Module Configuration of Bakery Retail Trading Platform

With the prevalence of AI technology, the catering and retail industry adds value and upgrades through AI technology. Combined with market demand and technical frameworks, this research was carried out to accelerate the overall digital transformation of the catering industry and realize the vision of a sustainable enterprise with AI. Two technical modules are provided: (1) product identification checkout system and (2) real-time face recognition module. Through this study, the workload and psychological pressure of the catering industry personnel are relieved, the service quality of the store is improved, and a better consumer experience is provided. The image recognition training is conducted for nearly 20 items, and the mAP is as high as 0.989.
Target Tracking Algorithm Combining Twin Network and Semantic Segmentation

Target tracking is widely used in automatic monitoring, vehicle navigation, video marking, humancomputer interaction, and automatic driving scenes. However, the accuracy of target tracking is limited by the influence of object deformation, lighting, occlusion, background interference, and other factors. In this study, the tracking accuracy of the twin network target tracking algorithm is reduced under the conditions of object deformation, illumination, occlusion, background interference, and so on. SiamUNet is a three-twin network target tracking framework proposed in this study. The basic network structure of SiamUNet is U-NET. The algorithm uses four-layer feature extraction, and after feature fusion and a four-step up-sampling process, the semantic information and background information of the target is fully utilized. At the same time, SiamUNetjudges whether each pixel belongs to the target by predicting the binary segmentation mask of the target in each frame of the video to obtain more accurate target information. SiamUNet was evaluated on VOT-2021, OTBIOO, and OTB50 datasets and compared with five popular trackers. Experimental results showed that SiamUNet had better tracking.
Study on Evaluation Model of International Chinese Teachers’ Digital Competence in Online Teaching Based on K-Means Clustering Algorithm

The research aim of this paper is to evaluate the digital competence of international Chinese teachers.In order to accurately and objectively evaluate the international Chinese teachers’ digital competence standards, we used methods of data mining.The research procedure included the establishment of indicators of teachers’ digital competence and the construction of models.We chose the European Teachers’ Digital Competence Framework which includes 22 research indicators as the index dimension and used a developed convolutional neural network, k clustering and the fuzzy clustering algorithm. We created an evaluation model as a result. The results of several tests show that the model is stable and plausible. The model can be used to analyze the trend and distribution of digital ability among international Chinese teachers, as well as to evaluate international Chinese teachers’ s digital ability. The innovation of the result is the creation of a theoretical evaluation model to evaluate teachers’ digital ability.
PROFESSIONAL COMPETENCY OF TEACHER EDUCATORS IN THE CONTEXT OF EDUCATION 4.0

Technological evolution is in rapid pace in the present scenario and in this context the entire sector of education undergoes drastic changes. There is a shift from pedagogical practices to techno-pedagogical practices. The need for techno-pedagogical approach is reflected in classroom practices and it is the primary task of the teacher educator to update themselves in techno-pedagogical skills. A professionally competent teacher educator has to be well versed in ICT skills. Then only, he could be able to produce an effective teacher to suit the needs of the present generation learners. This article discusses on the conceptual framework of the varied ICT skills required for teacher educators in the present context of techno-pedagogy and education 4.0. The pre-requisite techno savvy skills that are required for the present teacher educators are discussed.
EXAMINING THE ROLE AND IMPACT OF FORENSIC SCIENCE EVIDENCES FOR THE INVESTIGATIVE-SOLUTION OF CRIMES

It is noticed that, forensic science includes the use of physical and natural sciences for the investigation of civil and criminal cases. This is used for various purposes such as inspecting criminal crimes such as rape, murder, honour killing, frauds and drug tracking and civil cases as wilfully destructing the natural environment. This includes using modern science and technologies such as DNA testing, micro-observations, fingerprint profiling, and Narco-test so that the reality related to crime and suspect are identified properly. The study knows that as per Indian Evidence Act (IEA) 1872, evidences and proofs have been classified into various parts such as Primary Evidence, Oral Evidence, Documentary Evidence, Video Evidence, Audio Evidence, Secondary evidence, and Judicial Evidence that play a crucial role in the investigation process. Present research study found that forensic investigations and methods are highly needful as it tracks the implications of the illegitimate substances and recognizes the residues by reconstructing the crime incidence again. It is noticed that, Forensic investigations and methods also help in identifying the criminal and collecting information about the reasons of crime.
AI FRAMEWORK AGAINST IDS IN DIGITAL FORENSICS

In this work, we will propose an architecture for our machine learning experiments based on the evaluations this work made during the literature review. Ontology modelling and the pipeline technique will be discussed, along with an overview of their capabilities. In order to evaluate the algorithms, this work will continue to use our methods of gathering criminal and forensic data records.
Teaching Research Data Management

"Teaching Research Data Management." Journal of Hospital Librarianship, ahead-of-print(ahead-of-print), p. 1
IoT Device Discovery Technique Based on Semantic Ontology

The world wide web has constantly becoming enormous, and its expansion is as well vibrant. All internet community relies on dynamic search engines to extract and share information from distinct resources. Everything extracted by search engines’ is not always appropriate since it is pulled from heterogeneous data sources. Also, a normal user finds it difficult to verify that the obtained results are appropriate to his necessity. Semantic technology therefore plays an important role in interpreting the relevance of search results. In the proposed work, a novel approach to retrieving appropriate devices uses the semantic ontology concept wih indigenous language (NLP) processing techniques. In this proposed system, NLP is used to annotate the vendor specification of the devices. The annotated documents serve as the semantically enabled documents and help in the retrieval of the appropriate devices for the user request in identifying the resources of their interest. This paper contributes the device discovery mechanism based on the semantic search.
Quantentechnologien

How does a quantum computer work, and what is the best way to transmit bug-proof messages using photons? This introduction to quantum technology addresses students of engineering and informatics, and imparts the principles of quantum computing, quantum communication, quantum measurement technology, and quantum simulation, without requiring comprehensive prior knowledge of physics.
Constrained trajectory planning for unmanned aerial vehicles using asymptotic optimization approach

Trajectory planning with the involvement of motion time has become a key and challenge for autonomous systems. This paper investigates trajectory planning of unmanned aerial vehicles (UAVs) under maneuverability and collision avoidance constraints. First, a polynomial-based trajectory planning framework is established, and a nonlinear programming problem (NLP) is formulated. Then, a novel asymptotic optimization approach is proposed to improve NLP solution success rate. Three operations of dividing the original NLP into sub-problems, adding constraints gradually, and using previous NLP solution as current initial guess value are designed in the approach. Third, an improved particle swarm optimization (PSO) path planning is also proposed to generate initial guess value for the first sub-problem. Benefited from these operations, the NLP solution success rate is significantly improved. Finally, simulations on simultaneous attack of a same target are carried out. Comparisons with other algorithms illustrate the advantage of the proposed approach.