Reviewerly/exHarmony huggingface dataset:
Sustainable Materials in Artificial Lighting Units

Sustainability has become a global trend and its application in all areas of life has become necessary to meet the needs of the present while preserving the future’s right to natural resources and energy sources. An indispensable design field is the design of artificial lighting units. The research problem is that the poor choice of materials causes a disruption to the ecosystem and the principles of sustainability, as it causes harmful environmental, health, economic and social effects, and also causes the waste of natural resources. Therefore, it is necessary to inform the designers of the most important sustainable materials to help them move towards cleaner production in the design of lighting units. The research aims to identify the most sustainable materials in the field of designing artificial lighting units, presenting models for the use of these materials in the implementation of products, the research methodology, the inductive approach through previous studies and scientific references, and the analytical descriptive approach to identify sustainable materials in the design of artificial lighting units, The importance of research in the suitability of artificial lighting units to the environment is further clear by choosing sustainable materials, and the research results are identifying the considerations for choosing sustainable materials (which include the materials being natural, with a long life span, recyclable and better to be recycled material and being materials that are not harmful to the environment or living organisms and to be a material with limited and local energy consumption), and getting to know the classification of sustainable materials that can be used in the design and implementation of artificial lighting units
Orientation-Aware Vehicle Re-identification via Synthesis Data Orientation Regression

Owing to the need for smart city construction, vehicle re-identification (re-ID) has been widely used in the field of computer vision. Given a probe vehicle image, all of the same vehicles need to be found in the gallery data. However, because of the different camera shooting angles and vehicle driving directions, extreme changes in the viewing angle in vehicle images leads to a dissimilarity in shape, resulting in a difference in vision and having a significant impact on the accuracy. To address this issue, we propose a method for eliminating bias between different viewpoints, specifically, orientation regression training is conducted on a free synthetic dataset through the VehicleX engine, orientation-aware features are extracted using the trained network above, and the similarity calculated by the original re-ID feature and the orientation-aware feature are then fused to obtain the final similarity, which can effectively remove the orientation bias that exists with conventional re-ID features. Extensive experiments on two public datasets confirmed the effectiveness of the proposed method.
Application of Hadoop Framework in Big Data Analytics

Big data is a collection of large data sets that include different types such as structured, unstructured and semi-structured data. This data can be generated from different sources like social media, audios, images, log files, sensor data, transactional applications, web etc. To process or analyse this huge amount of data or extracting meaningful information is a challenging task now a days. Big data exceeds the processing capability of traditional database to capture, manage, and process the voluminous amount of data. In this paper we first introduce the general background of big data and then focus on hadoop platform using map reduce algorithm which provide the environment to implement application in distributed environment. Hadoop is a framework that allows the distributed processing of large data sets. Hadoop is an open source application available under the Apache License. It is designed to scale up from a single server to thousands of machines, where each machine can perform computations locally and store them].
Dual Access Control for Cloud-Based Data Storage and Sharing

Due to how efficient and economical it is for the executives, cloud-based information capacity administration has recently attracted more attention from academia and business. Professional co-ops must use secure information storage and sharing technologies to manage client protection since it provides a variety of assistance in an open company. Encryption is the technique that is most frequently employed to stop the compromise of sensitive data. However, even information that has been properly scrambled is insufficient to fully satiate the device's actual information needs (using AES, for example). To prevent Economic Denial of Sustainability (EDoS) assaults that prevent users from taking use of administration, a robust access control over download demand should also be kept in mind. In this work, we investigate the impact of double access control on cloud-based capacity.
The Challenge in the World of NFT Investments. Investing a Good or Bad Strategy?

Blockchain is a progressive innovation and will have extraordinary constructive outcomes in our business climate sooner rather than later. NFT represents Non- Fungible Token. An NFT can be viewed as only a computerized type of genuine world objects like workmanship, music, in-game things and recordings. They are exchanged on the web, by and large with various kinds of digital money. Non-fungible tokens exchanged on a NFT commercial center are not quite the same as fungible tokens that are traded on different incorporated or decentralized trades. NFTs are unique. Each NFT has a computerized signature that makes it inconceivable for them to be traded for another NFT. Each has its not entirely settled by different variables like metadata, maker, highlights, and so forth. The larger part of NFTs in the current times are computerized, and makers could make do here from now on and clear a path for additional inventive things for the clients.. It is extremely evident that blockchain innovation and NFTs can offer the ideal a chance for specialists and content makers to get monetary compensation for their works. Along these lines, craftsmen try not to need to rely upon exhibitions to sell their work of art. All things being equal, a craftsman could simply offer their work to a purchaser in the type of a NFT. This likewise brings about better benefit for the specialists. Curiously, Non Fungible Tokens likewise have the component of eminences where a specific sum is credited to the first maker of a specific NFT each time the said NFT is sold. Since Blockchain is a generally more up to date innovation, assets are less and very hard to track down the wonderful one which makes it considerably more challenging to fabricate a complex NFT Marketplace. NFTs have different use-cases and the NFT commercial center should be at the center of all those extraordinary use cases by giving the clients a stage to mint and exchange the Non-Fungible tokens.
Review of Lightweight Cryptography for Secure Data Transmission in Resource Constraint Environment of IoT

There is tremendous growth in internet of thing from last few years. The Internet of Things (IoT) is being used in home automation, health care, automobile industry, vehicles, defense system and many more. It mainly includes wireless sensor networks and smart devices. The sensory devices are generally resource-constrained devices with constraints in terms of computing capability, communication power, bandwidths, and latency and battery capacity. Therefore, providing security for the communications that happen among these devices is exceedingly important criteria for various sensitive applications where any inadvertent security attack would be life threatening or can cause havoc. However, conventional cryptographic techniques cannot be implemented there due to their intrinsic implementation difficulties and necessity of high degree of power consumption. Lightweight cryptograph can be one of the possible solutions to offer security for the perception layer. However, the selection of tool to build lightweight cryptograph is extremely dependent on the type sensory 180devices being used for an application. Sensors and controllers used in IoT are low power and low energy devices with less memory. Due to this resource constraint, IoT is prone to attack.
A Study of the Grounded Theory on the Working Life Experience of Unmarried Father: Approach to Glaser’s Grounded Theory and Clarke’s Situational Analysis

This study explores the working life experiences of unmarried fathers. The researchers adopted Glaser’s grounded theory research method and Clarke’s situational analysis for the study subjects. The purpose of this study was to analyze the social discourses that affects the contents, context, and structure of 14 unmarried fathers’ working life experiences and to examine their situational knowledge. The research results are as follows. First, the core category analyzed based on Glaser’s approach of the grounded theory is “The reward and hope in the labor for survival with the dream postponed. “ It was found that the core category was affected by the conditions of “Becoming a working machine “ and accidental “Burnout labor”. Here, ‘Lack of human capital investment’ and ‘No leisure time’ are the context that influences the cause and outcome, and this study suggests the structure in which the cause－“Delay in self-development”－leads to the outcome of “Labor without content” in the context. Second, based on the result of Clarke’s situational analysis, the study drew a rough version and an organized version a situational map, showing the work and life experiences of unmarried fathers, a relationship map of the unmarried fathers, and a social/world arena map representing work/regional community. Lastly, through a positional map, the level of interaction and discourse of unmarried fathers were analyzed. Based on the results of the study, the researchers provided suggestions at the social welfare level to support the creation of responsible subjects and the lives of unmarried fathers.
Key based Cryptography in Cloud Computing

Cloud computing is virtual computing infrastructure for increasing capabilities and developing potentialities dynamically while not adding new infrastructure, personnel, or code systems. additionally, cloud computing originated from a billboard enterprise conception, and developed into a flourishing IT invention. However, provided that sizable data on people and corporations square measure known within the cloud, issues are raised concerning the security of the cloud surroundings. Despite the publicity close cloud computing, customers stay reluctant to deploy their industrial enterprise into the cloud. still, lack of protection is that the solely major concern that hinders augmented use of cloud computing. moreover, the complexness with that cloud computing manages knowledge security, and data security makes the market hesitant regarding cloud computing. The design of cloud models threatens the safety of existing technologies once deployed in an exceedingly cloud surroundings. Thus, customers of cloud services ought to apprehend the vulnerabilities of uploading their necessary knowledge into these new surroundings. Therefore, during this paper totally different cryptography aspects that cause a threat to cloud computing square measure reviewed.
PSO-GAScript: A Domain-specific Scripting Language for Meta-heuristics Algorithm

PSO-GAScript is a domain-specific scripting language designed to support easy and rapid implementation of meta-heuristics algorithms focused on Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The programming language has been developed to allow the hybridization of the two meta-heuristics algorithms. Hybridizations between PSO and GA are proven to be a comprehensive tool for solving different kinds of optimization problems. Moreover, the two algorithms have achieved a remarkable improvement from the adaptation of dynamic parameterization. Nevertheless, implementing the suitable hybrid algorithms is a considerably difficult, which in most cases is time consuming. To the best of our knowledge, the existing tools are not adequately designed to enable users to easily develop the meta-heuristics hybridization of PSO-GA with dynamic parameterizations. This paper presents the fundamental research methodology of domain-specific scripting language from the language design, constructs and evaluations focused on the case of PSO-GA hybridization and dynamic parameterizations. The PSO-GAScript are shown to easily use with minimal number of codes lines and concisely describe the meta-heuristics algorithms in a directly publishable form.
Information Preserving Dimensionality Reduction for Mutual Information Analysis of Deep Learning

Mutual information has been actively investigated as a tool for analyzing neural networks&#x0027; behavior, most notably the information bottleneck theory. However, esti-mating mutual information is a notoriously tricky task, especially for high-dimensional stochastic variables. Recently, mutual information neural estimation (MINE) was proposed as a non-parametric method to estimate mutual information for contin-uous variables without discretization. Unfortunately, MINE also produces signifi-cant errors for high-dimensional variables. Analyzing the activity of neural networks requires a dimensionality reduction mechanism, with the resulting low-dimensional representations retaining as much information as possible. We investigated different dimensionality reduction methods to determine their capabilities in estimating mutual information regarding the activity of trained neural networks. We combined MIME with principal component analysis (PCA), a convolutional neural network (CNN), and global average pooling (GAP). The experiments showed that introducing dimensionality reduction provides more stable results than the baseline method. In terms of stability, PCA-MINE and GAP-MINE performed better than CNN-MINE. They also require much less computation time than CNN. Another advantage of GAP-MINE is that it requires no hyperparameter optimization. However, the results suggested that GAP-MINE may underestimate mutual information.
Chapter 2: How do we perceive serendipity?

The book explores the nature, underlying causes, and the information processing mechanism of serendipity. It proposes that natural or social survival demands drive serendipity, and serendipity is conditional on the environment and the mindset, on both individual and collective levels. From Darwin’s evolution theory to Sun Tzu’s war tactics, major innovations throughout human history are unified by this key concept. In the rapidly changing world, information is abundant but rather chaotic. The adaptive power of serendipity allows people to notice treasures within this wild sea, but only for those who understand how it works. To increase the probability of encountering and attaining serendipity, one should employ the mindsponge mechanism and the 3D process of creativity, for without these frameworks, serendipity is truly an elusive target. The book also discusses methods to build environments and cultures rich in navigational and useful information to maximize the chance of finding and capitalizing on serendipity. As a skill, serendipity has a resemblance to how kingfishers observe and hunt their prey Description of the peer review process for the book titled A New Theory of Serendipity ”A New Theory of Serendipity: Nature, Emergence and Mechanism” is covered by the following services:• Baidu Scholar•
Peculiarities of video materials usage in teaching: analysis of pedagogical practices of laureates and winners of pedagogical mastership contests

Introduction. The relevance of the topic is determined by a wide variety of innovative pedagogical technologies associated with the unlimited opportunities of the digital age, which allow the modern teacher to develop and apply in practice the individual educational trajectories of professional growth. One of the productive technologies of the educational process arrangement is the use of video materials in the lessons of the teachers – laureates and winners of competitions of pedagogical excellence. The article aims to analyze successful practices of pedagogical activities of laureates and winners of pedagogical competitions in the aspect of identification, substantiation, and use of information and training potential of video materials. Materials and Methods. A total of 142 teachers from the Russian Federation and CIS countries participated in the study – 30 men and 112 women. The average age of the teachers was 44 years with a deviation of 10 years. Research methods: tabular data presentation, charts, descriptive statistics (arithmetic mean, etc.), r-Spearman correlation coefficient. Results of the study. One of the important questions of the research of determining the criteria that teachers are guided by when selecting videos for the lesson showed that out of the six proposed criteria they highlighted the following in terms of importance: “relevance of information within the topic” (174 points), “students’ interests” (164 points), “educational value of the video fragment” (130 points), “methodological appropriateness” (129 points), “modernity and relevance of the material” (128 points), “degree of emotional impact” (127 points). No statistically significant correlations between these criteria were found. This suggests a significant scattering of opinions and priorities. Conclusion. Prospects for future research are related to the identification of the developing potential of video materials as a learning technology in the educational environment, which is productive not only as a passive source of reinforcement methodical resources of the lesson, but also as a means of autonomous practice of authorization by the teacher and students of their own potential of the educational activities’ organization.
BRAS : Development of Prototype Cloud Model for Failure Recovery Management by Using Backup Resource Allocation Strategy

The main objective of any technology is to give good service, availability and reliability to the end user along with protection and cost feasibility. Cloud computing is one of such technology which can be pay-as-you-go model. Computational resources and backup resources are the one of the issues. When multiple Physical Machines (PM) interacting to cloud to have respective services there may be a chances of failures that spoils the guaranteed services by the providers. In this paper we tried to elaborate these issues by developing a prototype cloud model for failure recovery management with the information of backup resource allocation strategy. We proposed an advanced open stack method based on BRAS. We also conducted a survey on BRAS to give better model. In this paper we focussed more on availability analytical model how its work for BRAS. We also covered some of case studies with yielding results for better understanding of the model. However one of the essential pitfalls in cloud computing is related to optimizing the property being allocated. Because of the distinctiveness of the model, useful resource allocation is achieved with the aim of minimizing the prices associated with it. The specific traumatic conditions of useful resource allocation are meeting customer desires and application requirements.
Daily briefing: Ukrainian mathematician wins Fields Medal

Ukrainian number theorist Maryna Viazovska is among the four winners of the prestigious mathematics prize. Plus, the long-overdue rise of gun-violence research in the United States and how to support scientists who stutter. Ukrainian number theorist Maryna Viazovska is among the four winners of the prestigious mathematics prize. Plus, the long-overdue rise of gun-violence research in the United States and how to support scientists who stutter.
The Construction of Middle School Chemistry Efficient Classrooms Under the Background of New Curriculum Reform in China

From 1949 to the present, China's basic education has undergone eight curriculum reforms. The “Outline of China's Education Reform and Development ”issued in June 1994 clearly put forward the concept of quality education, and "quality education" has become the main theme of curriculum reform. In 2022, a new round of curriculum reform vigorously implemented the policy of "core literacy" and comprehensively cultivating high-quality talents. Quality education and high-efficiency classroom teaching research to comprehensively promote core literacy education have been paid more and more attention by the majority of researchers. The revised two-dimensional framework of the theory of Bloom's classification of educational objectives is helpful to build an efficient classroom and cultivate students' high-level thinking. In combination with the teaching practice under the background of basic education reform, this study discusses the construction methods and strategies of high-efficiency chemistry classroom in Middle School under the theory of Bloom's classification of educational objectives.
Robotic Technologies and Well-being for Older Adults Living at Home

The purpose of this study is to investigate the benefits for aged care providers to add affordable robotic technology in their services packages to enhance the well-being of older adults from culturally and linguistically diverse (CALD) backgrounds who choose to live at home. This study, adopting a Transformative service research lens, was performed with a group of Australian older adults from CALD backgrounds aged on average 70 years old. In total, the study conducted four rounds of home trials with three different, commercially available robotic technologies from January to November 2020, each trial lasted seven days. The findings reveal that older adults from CALD backgrounds are open to learning about new technologies and can successfully interact independently with multiple robotic technologies in their own homes. Further, our results indicate that robot technology has the potential to increase the well-being of these older people. The results show that technology can enhance a sense of belonging, independence, and quality of life while living at home. Research limitations/implications - This study shows a promising future involving the use of available technology to assist older people from CALD backgrounds to lead a better life at home. Aging at home can be central to a person’s sense of identity and independence; this study is a big step towards a new aged care system that is sorely needed in a society that experiences a rapidly aging population.
Block chain Technology to Handle Security and Privacy for IoT Systems: Analytical Review

With a large number of mobile terminals accessing IoT for information exchange and communication, security issues such as identity authentication, data transmission, and device failure are becoming more and more serious. Most of the traditional security technologies are based on centralized systems, and due to the limitation of IoT topology, traditional security technologies can only be applied to specific industries. Blockchain technology has the features of decentralization, data encryption, and tamper-proof, which are especially suitable for application in complex heterogeneous networks. This paper discusses for the first time the use of the block chain in many fields, providing an opportunity to address IoT security issues. Second, it discussed the IoT acceptance on various domains and the privacy issues IoT faces on limited resources. Finally, this paper investigates many of the problems facing the integrated process of block chain-based and IoT-based applications. The purpose of this article is to provide an overview of block chain based policies for privacy protection in IoT. After analyzing related solutions, blockchain technology can work better in the area of IoT security and privacy protection