Reviewerly/exHarmony huggingface dataset:
Legality of Human Rights Restrictions During the COVID-19 Pandemic Under the European Convention on Human Rights

The European Convention on Human Rights, the regional international treaty adopted in 1950, requires that any restriction, limitation, or interference with the rights and freedoms guaranteed in the Convention should be ‘prescribed by law’, ‘in accordance with the law’ or ‘provided by law’. In the case-law of the European Court of Human Rights, the assessment of ‘legality’ requires that the impugned measure have a legal basis in national law, and refers to the quality of law. At the outset of the COVID-19 pandemic, numerous states worldwide rolled out a patchwork of different provisions limiting (restricting) the implementation of human rights and fundamental freedoms. Understandably, the immediacy of the emergency required a quick and efficient reaction from states; therefore, some situationally appropriate, however aggressive, restrictions on the exercise of human rights were imposed without a proper legal basis in national law. The article deals with the concept of the legality of limitations (restrictions) on the implementation of human rights and fundamental freedoms in a public health emergency, and in particular, the question of whether Article 15 of the Convention includes the possibility to deviate from the “classical” legality standard. The ‘derogation clause’ enshrined in Article 15 and the ‘restrictive clause’ established in, e.g., the second paragraphs of Articles 8–11, have an essential value in assessing the ‘legality’ of interference in the exercise of the Convention rights and freedoms during the COVID-19 pandemic, especially in cases where States Parties to the Convention had not used the possibility to derogate from the Convention obligations under Article 15. Relying on the case-law of the ECtHR in respect of the legality of interference in the exercise of human rights, the authors argue that legality in a state of emergency should follow the same logic as in the absence of such a state. This is reflected in the constitutional case-law, although the national dimension of the legality requirement varies depending on different constitutional arrangements in the countries.
Multi-network Based Automatic Modulation Recognition with Confidence Fusion

Automatic modulation recognition (AMR) is of great importance in various communications applications. Deep Learning (DL) based AMR has been becoming a popular choice as it inhibits the powerful classification capability of DL. However, the existing DL based AMR methods mostly exploit a single DL network and can hardly obtain a full understanding of the received signal. This paper proposes a multi-network based AMR algorithm with confidence fusion to improve the recognition performance. According to the proposed algorithm, four different deep neural networks (DNNs) are adopted to handle the received signal individually, and confidence fusion is used to combine the outputs of multiple networks to produce the final decisions. Simulation results show the superiority of the proposed algorithm in recognition accuracy.
Peer review declaration

All papers published in this volume of IOP Conference Series: Earth and Environmental Science have been peer-reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind / Double-blind / Triple-blind / Open / Other (in which reviewers do not know the identity of the authors, and authors do not know the identity of the reviewers). The steps for papers selection: a. The author’s name of the submitted abstracts was removed. b. The abstracts were selected by reviewers. c. The authors of the selected abstracts should send full papers according to IOP guidance for Proceeding Conference d. The editors check plagiarism issues, if the paper has a similarity index of 20% and above, then the paper is directly rejected. e. The selected papers were sent to reviewers using a double-blind review system. The papers are reviewed using active track changes. Reviewers should consider the key points related to scientific content, quality, and presentation of the papers. • Conference submission management system: https://inafor.forda-mof.org/, google form, and email: inaforp3sekpi@gmail.com • Number of submissions received: 65 abstracts • Number of submissions sent for review: 57 papers out of 65 abstracts • Number of submissions accepted: 44 papers • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100): 77% of the reviewed papers • Average number of reviews per paper: 3 • Total number of reviewers involved: 9 • Any additional info on review process: plagiarism check system with Turnitin Plagiarism Checker • Contact person for queries: Name: Dr. Niken Sakuntaladewi Affiliation: Center of Standardization of Disaster and Climate Change Instruments, Jl.Gunung Batu No. 5 Bogor, West Java, Indonesia 16118 Email: niken_sakuntaladewi@yahoo.co.uk
ANALYSIS OF CHARACTERISTIC NEWS CONTENT AND ACCURACY IN ONLINE JOURNALISM (Rape Case by Reynhard Sinaga on Tirto.id News Portal)

Abstract: The development of information and communication technology is marked by the increasing use of online media. The presence of the internet that is used as the Internet of Things (IoT) or the Internet for Everything makes people more often use the internet, especially in meeting their needs, one of the needs of fulfilling information. Online journalism is one of the latest breakthroughs in the world of journalism that can fulfill information for the public through the internet. However, online journalism is often regarded as a news media that is fixed at one point of necessity, namely speed. The inevitability of online journalism is often in the spotlight because it is considered to sacrifice the basic principles of journalism, especially the accuracy of news for the sake of speed. In connection with the Reynhard Sinaga case which is quite complicated, and has just appeared in the media including Tirto.id. Therefore this research formulates the problem and aims to find out: (1) news characteristics of the Reynhard Sinaga case in the Tirto.id portal and (2) the accuracy level of the news of the Reynhard Sinaga case in the Tirto.id news portal. This research uses descriptive research with a descriptive quantitative approach, which analyzes the characteristics and accuracy of news related to the Reynhard Sinaga case in the portal Tirto.id. Researchers get the data of news from the documentation directly in the Tirto.id website. The results of this study conclude that (1) the news characteristics of the Reynhard Sinaga case in the Tirto.id portal are in accordance with theories relating to the characteristics of online journalism which always emphasizes the important principle of immediacy or freshness of news and multimedia or the diversity of formats in news delivery. (2) the accuracy of the news published by Tirto.id which is assessed from 5 categories of accuracy assessment shows that the news contained in the portal can be considered accurate. With an accuracy value above fifty percent.
The history and development of fuzzy logic

This article describes the fuzzy logic history and distinctive features from classical logic. The main periods of the development of fuzzy logic are given.
Modelling Serverless Function Behaviours

The serverless computing model extends potential deployment options for cloud applications, by allowing users to focus on building and deploying their code without needing to configure or manage the underlying computational resources. Cost and latency constraints in stream processing user applications often push computations closer to the sources of data, leading to challenges for dynamically distributing stream operators across the edge/fog/cloud heterogeneous nodes and the routing of data flows. Various approaches to support operator placement across edge and cloud resources and data routing are beginning to be addressed through the serverless model. Understanding how stream processing operators can be mapped into serverless functions also offers cost incentives for users – as charging is now on a subsecond basis (rather than hourly). A dynamic Petri net model of serverless functions is proposed in this work, which takes account of the computational requirements of functions, the resources on which these functions are hosted, and key parameters that impact the behaviour of serverless functions – such as warm/cold start up times. The model can be used by developers/users of serverless functions to understand how deployment optimisation can be used to reduce application time, and to analyse various scenarios on choosing function granularity, data size and cost.
Kim Vasylenko - founder of the artistic and pedagogical choreographic school of the Kyiv Institute of Culture

The purpose of the article is to find out the role of K. Vasylenko in the establishment and further functioning of the art-pedagogical school of the choreography department of the KSIC named after O.E. Korniychuk. Methodology. Methods of analysis and synthesis, induction, and deduction were used in the research process. The method of theoretical generalization was used to sum up the results. Scientific novelty. The activity of K. Vasylenko was analyzed in the optics of the management of the artistic and pedagogical choreographic school of KSIC named after O. E. Korniychuk for the first time. Conclusions. K. Vasylenko – the founder of the department of choreography KSIC named after O.E. Korniychuk, the leader of the art-pedagogical school formed on its basis. At the initial stage of the formation of artistic and pedagogical principles of the department, the authority of K. Vasylenko, his organizational and managerial, scientific-methodical, and choreographic abilities turned out to be extremely significant. He created a partnership, a friendly circle of like-minded people, passionate about the ideas of building an educational environment in order to develop a system of mastering folk-stage choreography, producing an artistic product. Through a number of mechanisms introduced by the leader (mutual attendance of classes, methodical seminars, discussion of open demonstrations and concert performances, etc.), there was a constant increase in the professional level of teachers. His own example of writing scientific and methodological works stimulated the revival of this type of activity in the teaching environment, which contributed to the creation of educational and methodological support of disciplines.&#x0D; Keywords: Kim Vasylenko, art and pedagogical school, department of the choreography of KSIC, dance.
CMFD using a Novel Localisation Technique and CNN based Classification

Latest trends of the image processing software, the growth of image manipulation is at peak. To detect the use of such software on an image is a growing research anomaly. This paper proposes a novel copy-move forgery localization approach in an image through a blind approach with no prior information available to the algorithm. Here, we have split the image into equal size blocks and extracted SIFT features for every block. The center of mass for each block is calculated after applying the Gaussian filter. Finally, image features are matched based on the KNN algorithm for CMF localization. However, for classification, the localisation mask is created for the dataset, and is used to train a Convolutional neural networks(CNN) and this trained CNN in turn is used for classification of images as authentic or tampered.
The Effects of Sample Size and Options Number on the Validity Item of Students’ Environmental Personality Score

Personality possesses close ties with character education or building.A student that studied character building will be able to apply pro-environmental behaviors.An instrument is needed to determine a students' environmental personality, and the most important trait in a test/instrument is validity.Item validity is used to measurement to improve it, where accurate measurement is obtained not only through item accuracy but also through the effects of the options number and sample size.This study aims to uncover the difference between the item validity of students' environmental personalities with the options number and sample size.The data are analyzed by using a two-way ANAVA with Tukey post-hoc test.The results of this study show that (1) Students environmental personality's item validity is affected by the number of options, (2) the item validity of students' environmental personality is not affected by sample size, (3) There is an interacting influence between the number of options and sample size on the item validity of the students' environmental personality score.Based on the Tukey test we discovered that the group working in 3 options with a sample size of 175 students, differed compared to other groups significantly.In conclusion, the highest item validity for students' environmental personality test is achievable on the group that uses three options with a sample size of 175 students.
Conflict resolution and missing completion in the fusion of domain ontology in cyber-physical systems

CPS integrates information services, human resource services, and physical equipment services, and always be supported by the ontologies in multiple domains. Due to the inconsistency of ontologies from different domains, the fusion of domain ontologies may have conflicts and deficiencies. Therefore, this paper provides a method for the conflict resolution and missing completion in the fusion of domain.
Using Experimental and Artificial Intelligence Techniques for Prediction of the Sedimentation at Lateral Intakes

The main use of the lateral intakes is water conversion from a main channel into a branch channel for different purposes such as water distribution network, irrigation and cooling systems at thermal power plants.The flow structure at the intake is very complicated due to sediment diversions.The intake usually installed making a right angle with the main channel flow direction, it have been noticed that the right-angle intakes produce a large sediment diversion and reduce flow rate inside the intake.Thus, the optimum angle of an intake is very important to minimize sediment volume at the intake channel and to maximize flow rate.Therefore, a physical model utilized to investigate the different obtuse angle of the intake.Five different intake angles (110°, 130°, 145°, 160°and 170°) investigated for the lateral intake with different flow ratios.For further investigation sensitivity and parametric analysis using LSL and ANN-based models applied to experimental results.Analysis of experimental results showed that the intake angle 160°gives better results compared to other intake angles.In addition, the results indicated that the separation zone vanishes at the highest flow
Entrepreneurship Training: A Panacea for Social Economic Gains

From Nigeria's attainment of independence in 1960, considerate efforts have been focused on industrialization.Initially efforts were driven by government through entrepreneurship, recently however, focus has moved to entrepreneurship training sequel to the lessons learnt from the gains of entrepreneurship training as evidenced by the Asian countries' growth economically (Ojo, 2003).Hence the shift now, in strategy of Nigeria's drive to industrializing through entrepreneurship training.Before now emphasis has mainly been on government leading industrialization, by substituting imports.Beginning from 1980 however, government started reducing its interventions as the main actor in industrialization by adopting economic liberation as prescribed by the IMF Structural Adjustment Program (SAP).With this, focus shifted from entrepreneurship-to-entrepreneurship training, which has the potentials for domestic economic development.The contribution of entrepreneurship training to economic growth and development is universally known.Increasingly it is being recognized as a pivot for generating employment, redistributing income and creating wealth (NISER, 2004).For instance, the educational sector accounts for about 87 percent of all institutions in operation in Nigeria as far back as 2005 (USAID, 2005).In view of the significance of entrepreneurship training in driving economic growth through the reduction of unemployment and generation of increased income to GDP, the Nigerian government adopted measures to address factors that inhibit its progress and survival.In argument, Ojo (2003) posit that education assistance programs did not promote the growth of entrepreneurship training as envisaged.In agreement Tumkella (2003), observed that such programs failed to attain the goals expected largely because they were abused, and poorly evaluated and monitored.Poverty goes beyond the inadequacy of income and resources for production for continuous livelihoods.Its manifests as hunger and malnutrition, restricted access to education and to other basic services, being socially discriminated and excluded, as well as paucity of taking part in decision making.Poverty is destructive to the mind, the being and the body.Globally and in Nigeria, the factors that feed poverty were again made worse and deepened by the global depression which Nigeria appears not to have fully recovered from.As the influx of aid and funds were reduced by donors, nations with limited resources and lowest financial strength suffered mostly.Although the financial meltdown was all encompassing and affected virtually everybody, the poor were the worst hit as transfer payments to them dwindled.The financial meltdown therefore presented increased risks that heightened the significance of entrepreneurship as a quick and effective solution for poverty.World Bank (2000) stated that a society that renegades on its constitutional and fundamental duty of developing its human resources stands at high risk of producing deviant and rebellious citizens.This is especially the case as the age
A Centralised Cloud-Based Monitoring System for Older Adults in a Community

Recent advancements in the Internet of Things and the miniaturisation of low-cost sensing devices allow for the unobtrusive collection of data for human activity recognition and behaviour modelling. A useful application of this in the context of ambient assisted living is in the monitoring of older adults daily for improved wellbeing and quality of life. The existing solutions are based on per-individual monitoring, therefore the systems are managed independently for each ambient intelligent environment. In this paper, we proposed a centralised system for the collective monitoring of individuals in a community. The proposed approach is based on a cloud-based solution where data collection and processing are centralised. Since the data are aggregated for all the residents, the system has the potential of promoting social interaction among the community residents. Additionally, the cost of the in-home monitoring system can be reduced since only the sensing devices are required for data collection, while the processing is carried out on the cloud infrastructure. This also reduces the tedious tasks required in setting up individual home monitoring systems. The role of assistive robots, the possibility of remote monitoring and potential challenges of the proposed approach are explored.
Creation of education centers for digital and humanitarian profiles on the basis of secondary schools of the Perm Region as a factor of the professional development of teachers

The article discusses topical issues of professional development of teachers of secondary schools in the Perm Region in the course of the realization of the national project «Education». According to the law, teachers have to improve their professional level systematically. Besides different training courses for teachers an important factor in the professional development of teachers is the creation of a new educational environment for the school. Within the framework of the national project «Education», in 2020 in municipal districts of the Perm Region there were opened 21 Centers for the education of digital and humanitarian profiles «Tochka Rosta» («Growth Point»). Сenters have high-tech equipment for the study of technology, informatics, life safety. To study the experience of Сenters, a survey of teachers and heads of schools was carried out. The study shows that the creation of Centers in schools of the Perm Territory contributed to the formation of an innovative educational environment that opens up new opportunities for professional growth of teachers.
Incentivized Research Data Sharing, Reusing and Repurposing with Blockchain Technologies

Data is the lifeblood of many organizations.Compared to the centralized mechanisms of data sharing (and the subsequent reuse and repurposing), many, if not all, aspects of these processes can be decentralized by using blockchain and provenance semantics.By capturing metadata details at each step of the workflow, data will be easier to audit, verify, and merge with related datasets.It is common in settings where data is either sensitive or valuable (or both) to have formal data use agreements or sometimes less formal rules for reuse, which we have captured in smart contracts.A key innovative aspect of this work is the departure from the traditional natural language-based data use agreements with the aim of making these agreements more computable, resulting in enhanced usability by a broader community.We have also engineered an innovative incentive mechanism for sharing data using an ERC20 token, a popular technical standard for developing fungible tokens on the Ethereum blockchain.The system we developed can be used to track data reuse, thus providing metrics for use in measuring data producers' impact for enterprise reward structures and research measures such as an h-index.As an example application, we discuss how this approach could radically improve the quality and the efficiency of scientific output in the setting of research data sharing.We address the challenge of the costly and time-consuming effort needed to bring an innovative idea from the bench (basic research) to the bedside (clinical level).