Reviewerly/exHarmony huggingface dataset:
THE IMPACT AND DYNAMICS OF INTERDISCIPLINARY RESEARCH IN CONTEMPORARY SCIENCE

Given the growing impact of interdisciplinary research on various fields of science, there is a need for a deeper understanding of how these processes work, what indicators to use to measure their effectiveness, which disciplines are involved in the process of interdisciplinarity and which are not.Therefore, the purpose of this study is to identify the place, role, and prospects of an interdisciplinary approach in science.To achieve this goal, the author considered the results of empirical study conducted by leading researchers in this field over the past 35 years.Using the methods of analysis and generalization, the article classified data by indicators of publications, research centers, the level of funding, and the use of new methods.As a result of information analysis, it was found that without the development of clear indicators for measuring the interdisciplinary component of research, it is extremely difficult to determine its place in science.Although interdisciplinarity is one of the main trends in modern science, the number of publications and research methods of monodisciplines have a significant advantage.However, interdisciplinary inquiry has higher rates for research centers and funding programs.At the same time, the data indicates that the highest level of interdisciplinarity is inherent in the medical and natural sciences, and the lowest -in the humanities.Hence the obvious need to abandon the approach of «dominant-auxiliary» disciplines, which is common in cooperation between the natural and socio-humanitarian sciences.It is also obvious that the communicative model of cooperation within the natural sciences is better developed than in social, and especially in the humanities.The solution to such imbalance is the encouragement of the synthesis of disciplines in the form of the creation of interdisciplinary journals and the recognition of these forms of work by the scientific community.
Joint Channel Pruning and Quantization-Based CNN Network Learning with Mobile Computing-Based Image Recognition

The development of the Internet and communication technology has ushered in a new era of the Internet of Things (IoT). Moreover, with the rapid development of artificial intelligence, objects are endowed with intelligence, such as home automation and smart healthcare, which are typical applications of artificial intelligence technology in IoT. With the rise of convolutional neural network (CNN) in the field of computer vision, more and more practical applications need to deploy CNN on mobile devices. However, due to the large amount of CNN computing operations and the large number of parameters, it is difficult to deploy on ordinary edge devices. The neural network model compression method has become a popular technology to reduce the computational cost and has attracted more and more attention. We specifically design a small target detection network for hardware platforms with limited computing resources, use pruning and quantization methods to compress, and demonstrate in VOC dataset and RSOD dataset on the actual hardware platform. Experiments show that the proposed method can maintain a fairly accurate rate while greatly speeding up the inference speed.
Digitalisasi Bank Sampah Dengan Penerapan Sistem Aplikasi Resik di Desa Karangsono Kecamatan Sukorejo Kabupaten Pasuruan

The Waste Bank is a solution to overcome environmental hygiene and health.Regional Policies and Strategies for the Management of Household Waste and Types of Household Waste that have been regulated in Pasuruan Regent Regulation Number 40 of 2018 have emphasized the importance of the existence of Waste Banks in each village.With the development of increasingly sophisticated technology, it will be easier to use the waste bank application.The waste bank practice has been running in Karangsono Sukorejo Village, Pasuruan manually since 2019 under the name Bank Garbage Results.Yudharta Pasuruan University through the implementation of the 2021 SDGs Real Work Lecture has introduced and invited the people of Karangsono Village, SukorejoDistrict, Pasuruan Regency to use the waste bank application system to improve the existing waste bank.Digitization of waste processing is carried out with the aim that people are able to change their thinking about waste that seems to have no economic value.The socialization of the application system was carried out with health protocols, inviting village officials and administrators of the Karangsono Village Waste Bank.So that the implementation of institutional socialization with village officials and waste bank administrators is only done once by bringing in Jong Java as the vendor of the Clean Up Application.The socialization activity was followed by door to door at the residents' homes to provide a perfect understanding.The advantage of using this application system is that it can facilitate the distribution of waste to be deposited in a more practical way.
PENGARUH PENGAPLIKASIAN FOUNDATION SEBAGAI DASAR MENGGUNAKAN TEKNIK CUT CREASE TERHADAP HASIL RIAS WAJAH PENGANTIN SUNDA PUTRI

Cut crease is usually applied with light colors to strengthen the eyes. Foundation application technique as the basis of using cut crease with eyeshadow application to emphasize the folds of this eye will give a greater dimension and eye effect. This study aims to a) Analyze the results of application without foundation as the basis of using cut crease techniques against the makeup results of Sundanese Brides, b) Analyzing the results of foundation application as the basis of using cut crease techniques against the makeup results of Sundanese Brides and c) Analyzing the differences in the influence of application without foundation and with foundation as the basis of using cut crease techniques against the makeup results of Sundanese Princess brides.This type of research is pre-experimental design. The population of this study is a student of Padang State University with an age range of 19 years to 23 years, has a close to normal eye shape and has a normal skin type that has no allergy to cosmetics with 6 samples and 7 panelists. Data retrieval technique is purposive sampling method. Data analysis techniques use descriptive statistic techniques with percentages and t-tests to describe hypothesis tests. Based on the results of the study seen from 3 people sampled in the group without foundation application of the aspect of sharpness of eyeshadow color obtained an average of 2.1414 categories less clear, aspects of the impression of eyelid shape obtained an average of 2.3329 categories less formed and aspects of favorite observers averaged 2.1886 categories less likes. Furthermore, the results of the study were seen from 3 people sampled in the group with foundation application of the aspect of sharpness of eyeshadow color obtained an average of 3.5729 categories very clearly, aspects of the impression of eyelid shape obtained an average of 3.2843 categories formed and aspects of favorite observers averaged 3.1886 categories likes. There is a difference in the sharpness of the eyeshadow color without foundation and with foundation, the value p = 0.000 (p&lt;0.05), there is a difference in the impression of the shape of the eyelids without foundation and with foundation, the value p = 0.003 (p&lt;0.05) and there is a difference in the preference of observers without foundation and with foundation, the value p = 0.002 (p&lt;0.05). It is recommended for makeup and beauty students to be able to apply foundation as the basis of using cut crease technique to make up sundanese bride's makeup.
NATURE INSPIRED METAHEURISTICS COMPARATIVE STUDY TO SOLVE TRAVELING SALESMAN PROBLEM

There are numerous optimization method to solve the traveling salesman problem, TSP. One of methods is metaheuristics which is the state of the art algorithm that can solve the large and complex problem. In this research, three of well-known nature inspired population based metaheuristics algorithm: Ant Colony Optimization – ACO, Artificial Bee Colony – ABC and Particle Swarm Optimization – PSO are compared to solve the 29 destinations by using Matlab program. The ACO produces the shortest distance, 94 kilometers and is more efficient than ABC and PSO methods.
Blockcloud Integrating Blockchain Security Features in Cloud Computing

Financial technology is the next generation emerging technology, which has drawn the attention of most of the business enterprises. Both blockchain and cloud computing are the two main contemporary parts of Financial technologies. Blockchain provides security for the data through authentication of peers in order to share digital cash, encryption and hash value generation. As per the global financial industry’s prediction, the security related blockchain technology will be increasing beyond 20 billion by 2020. Blockchain technology is used beyond crypto currency and cloud computing is also shifting to meet the changing requirements of industry revolution 4.0. Since Cloud Computing has deployed all its platform for availability and efficiency. This paper discusses about blockchain technology and also enlighten how it’s features can be adopted in cloud computing.
PERENCANAAN ULANG SISTEM DRAINASE DAN IPAL DI JALAN SIMPANG BANDULAN BARAT - JALAN BRIGJEND KATAMSO KOTA MALANG

On West Bandulan Junction Street - Brigjend Katamso Street, Malang City often experiences inundation during the rainy season. The occurrence of flooding is caused by the capacity of the drainage channel which is not sufficient to accommodate the discharge of runoff, improper drainage planning garbage in the drainage channel, the amount of waste from households and industry and the large number of closed drainage channels because it is made for parking and community home yards . From this condition, the drainage re-design is carried out. This plan is made to re-design the dimensions of the drainage channels and calculate the WWTP (Wastewater Treatment Plant) requirements, as well as calculate the RAB. The results of the calculation of the planned channel dimensions are trapezoidal and square with the largest dimensions of the trapezoid having a width of 1.19 m, a bottom width of 0.8 m and a height of 1.09 m. while the largest dimension of a square has a width of 1.4 m and a height of 1.4 m. The results of the calculation of the need for WWTP require 4 WWTP with different capacities, namely IPAL 1 with a capacity of 4 m3, IPAL 2 with a capacity of 12 m3, IPAL 3 with a capacity of 3 m3, IPAL 2 with a capacity of 2 m3. Based on the results of the calculation of drainage redesign, it can be concluded that the cost of redesign the drainage and WWTP is Rp. 6,473,335,422.
Outside the R1: Equitable data management at the undergraduate level

Universities within the California State University System are given the mandate to teach the students of the state, as is the case with many regional, public universities. This mandate places teaching first; however, research and scholarship are still required activities for reaching retention, tenure, and promotion, as well as important skills for students to practice. Data management instruction for both faculty and undergraduates is often omitted at these institutions, which fall outside of the R1 designation. This happens for a variety of reasons, including personnel and resource limitations. Such limitations disproportionately burden students from underrepresented populations, who are more heavily represented at these institutions. These students have pathways to graduate school and the digital economy, like their counterparts at R1s; thus, they are also in need of research data management skills. This paper describes and provides a scalable, low-resource model for data management instruction from the university library and integrated into a department’s capstone or final project curriculum. In the case study, students and their instructors participated in workshops and submitted data management plans as a requirement of their final project. The analysis will analyze the results of the project and focus on the broader implications of integrating research data management into undergraduate curriculum at public, regional universities. By working with faculty to integrate data management practices into their curricula, librarians reach both students and faculty members with best practices for research data management. This work also contributes to a more equitable and sustainable research landscape.
Low-Resource Named Entity Recognition without Human Annotation

Most existing approaches to named entity recognition (NER) rely on a large amount of highquality annotations or a more complete specific entity lists. However, in practice, it is very expensive to obtain manually annotated data, and the list of entities that can be used is often not comprehensive. Using the entity list to automatically annotate data is a common annotation method, but the automatically annotated data is usually not perfect under low-resource conditions, including incomplete annotation data or non-annotated data. In this paper, we propose a NER system for complex data processing, which could use an entity list containing only a few entities to obtain incomplete annotation data, and train the NER model without human annotation. Our system extracts semantic features from a small number of samples by introducing a pre-trained language model. Based on the incomplete annotations model, we relabel the data using a cross-iteration approach. We use the data filtering method to filter the training data used in the iteration process, and re-annotate the incomplete data through multiple iterations to obtain high-quality data. Each iteration will do corresponding grouping and processing according to different types of annotations, which can improve the model performance faster and reduce the number of iterations. The experimental results demonstrate that our proposed system can effectively perform low-resource NER tasks without human annotation.
Attribute Based Access Control System for Cloud Storage using Block Chain

The cornerstone of data security has been get to control. Regularly, User information is abused and clients are neglectful to the utilization of their information by unapproved parties. Current techniques to give stockpiling to private information and consequent confirmation include depending on a confided in outsider for the same, which could be casualties of Denial of Service (DoS) assaults or on the other hand specialized disappointments. This system analyses where the basic system for giving Access Control is the block chain, thus decentralizing the system of giving get to control. Further right now, exhibit and model the User Data access on the Ethereum system. Individual Data of the client by a site or an application is recovered on a need-to-know premise from the off-block chain, as decided by the client, the genuine proprietor of the information. Individual information is profoundly secured and the various consents to various sites or applications are controlled by the Smart Contract.
Movie Recommendation Based on Posters and Still Frames using Machine Learning

Movie recommendation system has become a key part in online movie services to gain and maintain the huge market. While within the preceding studies works Convolution neural network (CNN) concept is employed to spot the various movies with similar posters or stills to recommend the users. Using CNN, similar posters and stills are classified into group and any hard cash within the poster may place it out of the group. But the CNN method isn't fully connected and uses backpropagation technique which could be a touch slow within the poster identification and more over just with posters the films cannot be of comparable one and should disappoint the user. Technologies like Fully Convoluted neural network (FCN) makes use of Convolution neural network concept by connecting all neural networks and adding filters and pooling layer in between each filter layer. Data Augmentation is an algorithm which helps in increasing accuracy for the predicting movies. LASSO regression is employed to get images of high multicollinearity. Soft-max layer is employed to work out the probability of the similarities int poster to create it more appropriate for the user. K-means clustering is employed to classify the films still further to recommend thes implest movietotheuser.
Students’ Organisational Experience And Their Speaking-Confidence Of English

Joining student organizational activities is positively impacts both extrinsically and intrinsically, such as developing leadership or good speaking skills. Several studies have been conducted to examine the role of student organizations in increasing their confidence when speaking. However, many of these studies rely only on general self-confidence but not in the context of classroom learning. The purpose of this study was to analyze students' speaking confidence in class and the correlation between students' organizational experience and their speaking confidence. This type of research is quantitative research. The population in this study found 35 students. The instrument used in this research is a questionnaire. The technique used to analyze the data is the Pearson Product Moment Correlation to determine the relationship between the independent variable (organizational experience) and the determinant variable (self-confidence). The results of this study indicate that the significance level (0.001) and Pearson correlation = 0.569 (sig = 0.01). This shows a significant relationship between the organization and a high level of self-confidence in class. It can be said that the organizational experience of students can increase their sense of self-confidence.
Pedagogical Thinking – Is A Basis For The Formation Of Methodological Culture In Future Teachers

In this article, the author highlights pedagogical thinking and its role in the formation of methodological culture in future teachers. Based on the analysis of pedagogical-psychological literature analyzed the components of the development of methodological culture in future teachers, including the role of theoretical knowledge, the specifics of the experience of creative activity and emotional-value relations. He also developed proposals and recommendations to improve the mechanism of development of methodological culture in future teachers.
Analysis of Cycloid features by video analysis

We analyze and discuss the agreement between the experimental data obtained with video analysis and the theoretical calculations for the classical problem of brachistochrone and tautochrone cycloids. We use the open source software Tracker to examine video segments with simultaneous records of both straight and cycloid ramp to taken experimental data and compare them to the theoretical study. The results are in accordance with the theoretical description. The study of this classical problem is a proof of concept of the reliability and accuracy of the method that can be applied in other classical mechanics problems.
Estudo sobre a robustez de técnicas de verificação de locutores com D-vectors

Recently, speaker verification techniques have been conceived through deep neural networks using d-vectors.In this work, we made experiments to compare different models in situations where we have data for training that were not obtained from the same source as the test data, representing a real problem, where it is necessary to choose a model, without having training data similar to the test data.Comparisons were made with the SincNet, GE2E and Triplet Loss Network models.This work also proposes the SincNet + GE2E model, whose performance is superior to the original GE2E.The SincNet, however, obtained the best performance results in the current scenarios.
Training of neural machine translation model to apply terminology constraints for language with robust inflection

The goal of this study is to explore the transformer's capability of domain translation into a morphologically rich language.Satisfactory translation into Polish requires inflection by tense, number, and person, taking into account six declination cases.The ideal outcome of this study would be to prove that the method proposed by Dinu is capable of training the transformer to translate English to Polish in domain-specific scenarios.Achieving metrics similar to Nowakowski would result in a "zero-shot" translator with a considerably higher translation speed
A Case Study on the Development of Chinese EFL Debaters’ Argumentative Competence

This study aims to explore and analyze the argumentative competence of Chinese debaters by observing the fallacies they made in one semester’s English debate course. The 8 rounds of debates are selected, of which three teams participated in 2 of the prepared debates and 2 fixed impromptu debates respectively. It is evident that of the five categories of fallacies, relevance-related, sufficiency-related and acceptability-related fallacies were the most common fallacies compared with structural-related fallacies and rebuttal-related fallacies. In prepared debate, the debaters’ argumentative skills in relevance, sufficiency, acceptability, structure, and rebuttal improved but in impromptu debate, this trend did not exist, revealing the debaters’ argumentative competence was unstable and varied from team to team.
Online Appendix to 'Three High-Dimensional Cross-Sectional Tests for Fund Performance Evaluation'

Online Appendix to Three high-dimensional cross-sectional tests for fund performance evaluation https://ssrn.com/abstract=3383867.
Temperament Theory

The chapter reviews the historical context of temperament theory and links this theory to workplace to understand how this can be utilised to engage with the provision of suitable workspace for all. There has been limited research drawing the two areas together, but by gaining a greater understanding of how temperaments can aid our engagement of people within the workplace design there can be a move towards a greater sense of ‘humanness’ in the workplace. As we move through COVID-19 and beyond, there is a chance to re-evaluate the ways we work and to understand who uses the space and how they want to engage with it.
ADULTS – CHILDREN POWER RELATIONS IN JUDY BLUME’S BLUBBER

(Tittle: Adults-Children Power Relations in Judy Blume’s “Blubber”). This study aims to uncover the power relations between adults and children in Judy Blume’s novel entitled Blubber. This study used a qualitative method by paying attention to the expressions used in the novel related to the topic of power relations of adults-children. Peer debriefing techniques were applied in this study in order to achieve the validity of the research results. The collected data of dialogues and narrations suggest that adults assert dominance toward children especially physically and psychologically as a consequence of the adults’ ideologies while trying to retain the image of a mentor. On the other hand, they also give spaces for children to grow and develop themselves. The research also revealed how Blubber paints a more realistic depiction of children and explores more of their human nature beyond images of innocence and naivety. Keywords: abuse, Blubber, children’s literature, egalitarian, power relations
The Effect of Parent's Interaction on Early Childhood’s Emotional Intelligence

This study aimed to analyze the influence of parents' interactions on emotional intelligence in early childhood.The subjects of this study amounted to 55 people who were selected by purposive sampling technique, with the characteristics of having early childhood aged 4-5 years.Subjects are parents who live on Pasaran Island, Bandar Lampung.The data collection technique used a questionnaire, consisting of a parent interaction questionnaire and an emotional intelligence questionnaire for early childhood.The data analysis technique used regression analysis.The results showed that there was a effect of parental interaction on early childhood emotional intelligence (β= 0.432, p= 0.00 (p<0.01), and effective contribution = 36.6%).