Reviewerly/exHarmony huggingface dataset:
The Shopper’s Desired Cosmetic-Counter Experience: A Mind Genomics Cartography of Emotions

The focus of this paper is not the past, but the knowledge of today's cosmetic consumer, the 'she' who buys in these still early years of the 21 st century. Asking a Respondent about HerselfConsumer researcher have realized that people differ dramatically from each, not necessarily in who they are as defined by conventional demographics, but by what they do, and in a much deeper way by who they are.What people do in the world of shopping for cosmetics can be further broken down into where they shop, their self-described motives and shopping behavior, and what they end up buying.For many products, this knowledge suffices.Whether cosmetics enjoy their greatest success at the counter, and should be sold that way, is hard to answer.The success of selling high end cosmetics on the Internet may address the fact that one does not need a profoundly deep understanding of people's mind.There are papers addressing cosmetic sales at the store counter, and in some case contrasting the sales process with that occurring online.The issue is that the papers give a sense of general differences, but they do not give the specificity, or the insight needed to be translated into business [1,2].For example, we know from the published literature that people define themselves by the products they buy, and in the case of cosmetics, the products that women purchase have symbolic meanings, with these meanings transferred to the purchaser when she uses the product.For example, a superior cosmetic product may enhance a woman's self-esteem when she uses it [3].Furthermore, as Wu & Lee (2016) wrote in their paper on impulse buying in cosmetics
SCHOOL EDUCATION IN A VIRTUAL SPACE: BETWEEN DAMAGE CONTROL, SCHOOL DEVELOPMENT AND INNOVATION

This contribution presents current findings on the conditions of success and challenges to school-related learning with digital media.A particular focus is placed on teachers and school leaders, because these two groups take a key position in shaping education in a digital world.While we focus on examples taken from the German school context, we are nevertheless able to compare them with international research findings and to analyze similarities as well as disparities between different education systems.
Cross-Racial Automatic Age Estimation from Facial Images using Deep Learning

This paper presents a deep learning approach for age estimation of human beings using their facial images. The different racial groups based on skin colour have been incorporated in the annotations of the images in the dataset, while ensuring an adequate distribution of subjects across the racial groups so as to achieve an accurate Automatic Facial Age Estimation (AFAE). The principle of transfer learning is applied to the ResNet50 Convolutional Neural Network (CNN) initially pretrained for the task of object classification and finetuning it’s hyperparameters to propose an AFAE system that can be used to automate ages of humans across multiple racial groups. The mean absolute error of 4.25 years is obtained at the end of the research which proved the effectiveness and superiority of the proposed method.
System analysis of the natural language modeling problem

System analysis of the problem of modeling a natural language (NL) made it possible to formulate the root cause of the low efficiency of modern means for accumulating and processing knowledge in such languages. This is the complexity of intellectualization for such tools, which are created on the basis of primitive artificial programming languages that practically represent a subset of flectional analytical languages or artificial constructions based on them. To reduce the severity of the identified problem, it is proposed to build NL modeling systems on the basis of technological tools for verbalization and recognition of sense. These tools consist of semiotic models of NL lexical and grammatical means. This approach seems to be especially promising for agglutinative languages; it is supposed to be implemented on the example of the Tatar language.
Performance of Cryptographic Hash function used in Digital Forensic tools

Cryptographic hash functions are which transform any long message to fixed-length data. It seeks to ensure the confidentiality of the data through the cryptographic hash. The digital forensic tool is a method for extracting information from various storage devices, such as hard drives, memory. SHA-1 and SHA-2 methods are both widely used in forensic image archives. The hash method is usually used during evidence processing, the checking of forensic images (duplicate evidence), then at the completion of the analysis again to ensure data integrity and forensic evaluation of evidence. There was a vulnerability called a collision in the hashing algorithm in which two independent messages had the same hash values. While SHA-3 is secure than its former counterparts, the processors for general purposes are being slow and are not yet so popular. This task proposes a basic yet successful framework to meet the needs of cyber forensics, combining hash functions with other cryptographic concepts, for instance, SALT, such as modified secured hash algorithm (MSHA). A salt applies to the hashing mechanism to make it exclusive, expand its complexity and reduce user attacks like hash tables without increasing user requirements.
Design and Analysis of a Solar-Powered DC Irrigation System: A Case Study of a Shrimp Pond

Abstract In this paper, a new approach for supplying water to shrimp production ponds in Purworejo, Indonesia, is proposed. The paper covers the design of a solar-powered DC water pump system (SWPS), system performance analysis, and economic analysis by comparing it with the existing fossil-fuel-powered pumps. The mathematical approach for the designing process is shown and Lorents Compass alternative tool is introduced. By taking into consideration the daily water demand of 50 m 3 /day, the annual-averaged local solar irradiation of 4.7 kWh/m 2 per day, and the available components in the market, an SWPS in Purworejo would comprise a 1200 Wp PV panel and a 600 W DC pump submerged in a borehole in the seashore. The SWPS would be able to meet the daily water demand with small seasonal variations. The financial analysis shows high feasibility to install SWPS in Purworejo with a 1,6 years simple payback period, which is very short. The SWPS would provide more than 20 years of free energy for the farmers to draw seawater to the pond each day when the sun shines. It can provide not only environmental and social benefits but also significant economic advantages, both at the farm and the national levels.
Advanced Concepts

In the previous chapters, we looked at the general operations and their usages when it comes to real-world use cases’ implementations. Other than the general operations, we are going to look at some advanced concepts in the Language Server Protocol.
Inference

Once models are created in the machine learning step, they need to be deployed as part of real-world processes and production systems. This is done in the inference step of the data science process.
Physical, Psychosocial and Pedagogical Issues

This chapter explores the physical, psychosocial and pedagogical issues associated with MALL. The physical characteristics of mobile devices such as the size of the screen and the input methods have long been an issue when considering their applicability for learning, but these have often been considered as necessary trade-offs in order to maintainmobile devices' portability. In addition to this, however, there are also psychosocial issues, considering the position of mobile devices in the minds of the learners and teachers, such as a personal tool for private uses or a tool that can be applied to any use as required. This perception of mobile devices is often a product of the social context in which they are used, and this will likely vary depending on the region, the socioeconomic status and the age group of the users. Furthermore, the dangers in distractions both inside and outside of the device are described here along the psychological impact of mobile devices on learners’ abilities to concentrate on multiple tasks. Finally, the issue of pedagogy when learning through mobile devices and the factors that may be thought to contribute to successfully achieving learning goals and sustaining task engagement are discussed.
THE EFFECTIVENESS OF THE PICTURE STORY METHOD IN INCREASING STUDENT'S READING INTEREST CLASS 2 AT SOURCE STATE ELEMENTARY SCHOOL, BANDUNG

Abstract&#x0D; &#x0D; Student’s reading interest Elementary school, especially grade 2 SD Sumber Bandung, is still low because they prefer to play online games, watch television, etc. This factor causes their reading ability is still lacking. In addition, there are reading books in school institutions that are still monotonous without pictures so that children get bored easily and are not interested in reading them. This study purposed to see how effectiveness of pictural story book in increasing reading inters of grade 2 students at SD Sumber Bandung. The method has been use in this research is an experimental research method with one group pre test – post test design. The use of learning media to foster children's interest in reading is by using picture story books. This picture book is more developed if the teacher dares to be creative. This picture story book is effectively used in the second grade students of SD Sumber Bandung because it includes games and education. In the picture story book there are several learning activities including observing, telling, reading and sorting the pictures so that they become a complete story. Furthermore, the teacher can add / collaborate on strategies or methods that can support the use of other picture story books to be more innovative in each lesson. The result of this research is that picture story books are very effective in increasing reading interest of student Grade 2 SD sumber bandung&#x0D; Keywords :; Story book; interest in reading, SD Sumber Bandung
Influence of Thirukkural for Morality among High School Students during the Robotized Millennium

Tamil language and literature has great influence on the people all over the world.Tamil language which may be oral or written which reflects how people live their lives.This Study deals about the Influence of Thirukkural for Morality among High School Students during the Robotized Millennium.Moral Value Scale (MSV) developed by A.S. Gupta and A. K. Singh in 2010 was used for Data collection.100samples were used. .Morality of High School Students which is Influenced by Tirukkural 1.For standard IX and X of both the Gender, 2.
Problems of Innovative Transformation of Russian Higher Education Developmental Education on the Example of Agrarian University

The purpose of the article is to analyze the transformational processes in Russian higher education aimed at restructuring the educational environment based on developmental education technologies that contribute to the formation of students' systematic thinking and abilities for self-realization in the professional sphere. Following this agenda, the change in the content of education in the Kuzbass State Agricultural Academy and the use of innovative teaching methods (business games, integrator, storytelling, pedagogical design, etc.) modify the role of the teaching staff. They initiate it as not only a translator of knowledge, but also makes it a key element in creation of prerequisites for employment of graduates and their professional implementation. Advanced training and retraining of teachers and administrative and managerial personnel of the Kuzbass State Agricultural Academy in the profile of developmental education creates conditions for the transition to "systematic thought activity pedagogy", training on its basis highly qualified specialists who are able to form their own individual trajectory of professional and career growth at the request of the employer, providing with their labor stability of the functioning of the agroeconomy of the region. The research used the system-dialectical, comparative and integrative methods.
Introduction

You are about to learn the basics of retrieving SAP SuccessFactors data using free-to-use tools. In this chapter, we will lay the foundation of the rest of the book by connecting to SAP SuccessFactors and retrieving some job requisitions. We’ll be using ODATA and the REST protocol. This chapter will begin by describing SOAP web services vs. ODATA and REST.
Histopathological Image Segmentation Using U-Net Based Models

Medical imaging plays an important role in clinical diagnosis, especially in treatment planning, surgery, and prognosis assessment. It is used to collect potentially life-saving information by looking at human organs without intervention through medical images. Automated segmentation methods can provide reliable diagnostic evidence for specialist physicians in preventive treatment decisions. In this study, different UNet based neural network architectures are investigated for segmentation of histopathological images taken from different organs. The dataset with 19 different organs discussed in the study is segmented using different neural network architectures based on U-Net. As a result of the experiments, the segmentation performances of the architectures are compared and thus a preliminary assessment of real-world problems is carried out.
Research on BERT-Based Audit Entity Extraction Method

Addresses the problems faced in extracting audit-specific knowledge and manual extraction of entities when using knowledge graph methods in intelligent auditing. A BERT-based entity extraction method is proposed. Firstly, word vectors with fused features are generated by word embedding using BERT, then the text information is extracted by BILSTM, and finally the final entities are extracted using CRF with the addition of sequence annotation links and rules. The experimental results show that the method achieves an F1 value of 98.03% on the audit meeting business dataset, which has good applicability and practicality.
All-Optical Neural Network Tanh Architecture with MZI

Artificial neural networks (ANNs) have been widely used for industrial applications and have played a more and more important role in fundamental research but the electronic-based integrated circuits are limited by Moore's law. Optical neural networks (ONNs) can process information in parallel and have low energy advantages. The MZI with Gridnet or FFTnet can realize the convolution calculation is already proved by lots of researches. But the activation functions still have to use the DA/ADC to do the photoelectric conversion and then be calculated in electronic-based hardware systems. So an optical Tanh architecture with MZI is proposed in this paper for the all-optical neural network's activation function. Which can achieve the accuracy of Lenet-5 with MNIST dataset to 86.49%.
University Computer Network Vulnerability Management using Nmap and Nexpose

Over the past few years, the advancement of technology in universities have led to rise in the number of vulnerabilities in University computer Network (UCN). To ensure robustness and hardness of UCN, an efficient Vulnerability Management System is required. The focus of current work is on the importance of vulnerability management in a UCN. A plethora of tools are used for vulnerability scanning and assessment. This paper also focuses on the implementation of vulnerability scanning tools on UCN. Assessment of scan results is done to identify vulnerabilities in the network that need to be resolved on priority basis. Based on the scan results obtained after scanning the network using scanning tools, the decision can be taken to mitigate the vulnerabilities on priority basis. Vulnerability Management in a UCN is a stepwise procedure that needs to be implemented to keep the network secure. An effective VM framework is important and inevitable to prevent cyber security breaches in a UCN as it regularly checks for new vulnerabilities on and also provide solutions to remediate or resolve the vulnerabilities. The scanning tools used for the current work were Nmap and Nexpose. Nmap was used for information gathering of network and Nexpose was used for scanning the network for vulnerability detection.
Peningkatan Hasil Belajar Melalui Penerapan Model Jigsaw pada Siswa Sekolah Dasar

The purpose of this study is to describe the improvement of fourth grade student learning outcomes at SD 4 Karangbener through the application of the Jigsaw learning model.This research is a classroom action research conducted for 2 cycles, each cycle consists of 2 meetings. Each cycle consists of 4 stages, namely: planning, implementing actions, observing, and reflecting. The subjects of this study were teachers and fourth grade students of SD 4 Karangbener Bae Kudus, totaling 19 students. The method of data collection was done through tests, interviews, observations, and documentation. The instruments used were in the form of observation sheets for teaching teacher skills, observation sheets for students' affective and psychomotor aspects of learning outcomes, multiple choice tests, and interview guide sheets. The data analysis used is quantitative and qualitative data analysis.The results of this study showed that the first cycle obtained a percentage of 68.42%, an increase of 89.50% in the second cycle. Affective domain student learning outcomes in the first cycle an average score of 14 (good) increased to 16.64 (very good) in the second cycle. While the psychomotor learning outcomes obtained an average score of 15.5 (good) increased by 18 (very good) in the second cycle. The researcher concludes that the use of the jigsaw learning model can improve learning outcomes in learning theme 6 my ideals in class IV SD 4 Karangbener.
The use of Internet of Things (IoT) to improve transparency in agri-food supply chains

Global food production needs to increase by approximately 70% by 2050 to ensure food security and feed the global population which is expected to reach 9.6 billion by 2050. To achieve these objectives in a sustainable manner, there is a need for modernisation and intensification of agricultural practices. There is also an increasing demand for proving sustainability within supply chains with research showing a direct correlation between transparency and consumer trust in agri-food products. This chapter starts out by detailing the impact and need for a globalised food system. It then progresses to discuss existing applications of Internet of Things (IoT) systems and the potential of future IoT systems in helping achieve these targets. The chapter also briefly touches upon the potential for combining Blockchain Technology and IoT systems in helping improve transparency and accountability within agri-food supply chains.
Should Corporate Social Responsibility Around The World be Mandatory or Voluntary?

Corporate social responsibility (CSR) is an idea that has grown during the last three decades from the voluntary activity of business firms into a debate about whether CSR should be mandated by law because of the increased demand from society. Further, it has been argued that business corporations are owned by their shareholders, and the managers must concentrate on maximizing the wealth of their shareholders and not of the community. To determine how better to apply CSR, this paper begins with looking at the evolution of CSR as a system around the world and then discusses the definition of CSR. In addition, this paper explores the advantages and disadvantages of implementing voluntary CSR and then explores mandatory CSR. Moreover, in this paper, it is found that determining the proper CSR system depends on many factors in each country, such as the social, economic and legal factors that should be examined before applying mandatory or voluntary CSR.
Effect of Corporate Social Responsibility Disclosure on Financial Performance of Multinational Companies in Nigeria

The study examined empirically the sensitivity of financial performance to corporate social responsibility disclosure of listed multinational firms in Nigeria.The study adopted an ex-post facto research design.Audited annual reports of eighteen (18) quoted firms from 2009 to 2019 formed the relevant period where corporate social responsibility disclosure (CSRD) (donations and other related expense) was used for the explanatory variable of the study.While return on asset (ROA), return on equity (ROE) and profit for the year (PFTY) were used as the dependent variables.The study employed panel least square regression analysis via STATA 13 output to fathom the nature of association between these variables.The results show that ROE and profit for the year are influenced significantly by CSRD.It was discovered that the coefficient of the return on asset is significant and equally indicated a positive effect on CSRD.The study accepts the null hypothesis, which stated that return on asset does not positively and significantly affect corporate social responsibility disclosure of multinational firms in Nigeria.The study recommended that government/regulatory bodies should adjust the minimum percentage of profit liable for taxation / CSRD from their profit for the year.
Physical Education, Art and Music Pre-Service Teachers' Life Satisfaction and Automatic Negative Thought Perception

The purpose of this study is to examine the life satisfaction and automatic negative thoughts perception of physical education, art and music pre-service teachers. Students (n=387) who training in physical education and sport, art work and music departments participated in this study. Results showed that physical education teacher candidates' life satisfaction scores were significantly higher than those of art and music teacher candidates. On the other hand, the automatic negative thought perceptions of the art and music pre-service teachers were found to be higher than the physical education teacher candidates. Life satisfaction levels of the physical education pre-service teachers are found to be high, negative thought levels were low. Current findings emphasize the importance of participating in sports activities in order to increase the life satisfaction levels of pre-service teachers and decrease their negative automatic thinking levels.
How to improve online assessment procedures in high school?

At present blended learning provides an opportunity to get an education regardless of external circumstances, such as pandemics and quarantine. Still, increasing student motivation to master new material and level of acquisition of knowledge is one of the challenges faced by teachers as the field of teaching online is subject to constant changes. This study aimed to elaborate the model of enhanced assessment in an e-learning course “General English” when teaching English as a second language at university to increase student educational achievements. The effectiveness of the model of enhanced assessment in the learning process was measured with the methodology for calculating statistical indicators of the quality of education: knowledge quality, level of student proficiency, progress, and average grade. The results of the initial and final control of the statistical indicators of the quality of education showed a significant difference between the control and the experimental groups. It is concluded that the replacement of formal types of assessment with the model of enhanced assessment is the key to increasing student educational achievements.