Reviewerly/exHarmony huggingface dataset:
The future of our thermal comfort: a commentary on developments in electronic textiles to regulate body temperature

This commentary examines the potential for electronic textiles (e-textiles) to form part of the solution to improved thermal comfort for individuals whilst reducing the high energy consumption of heating and cooling systems. The article begins by introducing factors that influence thermal comfort for individuals and the weaknesses of the current thermal management systems. The commentary presents e-textiles as a promising solution to these challenges by demonstrating an option that can provide the individual with enhanced thermal comfort without reliance on centralised heating systems, and crucially, does so in a manner that minimises the need for individuals to change their behaviour. The article concludes with a view of groundbreaking research that is pushing the boundaries of current e-textile technological capabilities.
Review on Sign Language Translation

Abstract: Sign language is a way of communicating using hand gestures, movements, and facial expressions, instead of spoken words. It is the medium of communication used by people who are deaf or have hearing impairments to exchange information between their own community and with normal people. In order to bridge the communication gap between people with hearing and speaking disabilities and people who do not use sign language, a lot of research work using machine learning algorithms has been done. Hence, Sign language translator came into picture. Sign Language Translators are generally used to interpret signs and gestures from deaf and hard hearing people and convert them into text.
Development of an Android Application for Rooms on Rent

Abstract: We suggest that users rent an Android-powered home system. The user can look for rental homes in multiple locations, including district- and locality-level there is a pressing need to embrace and value technology given the present paradigm change in the technological industry. The housing sector continues to be alert to the difficulties of change by implementing a new approach that makes managing rental properties simple. In this article, a standard web application for smart house rentals has been created for both tenants and homeowners. The app itself is incredibly user-friendly, and effective, and it offers a lot of distinctive features that aren't provided by other property rental websites that are now available in India. Using web applications that have been built, tenants can register with their cell phones, store identifying information, look for available homes, communicate with home owners, and select a suitable home.
Planning, scheduling, &amp; allocation of resources for short-span bridge using Primavera P6

The paper states the advantages of web-based Primavera P6 for structural planning and scheduling Bridge building framing the problems and difficulties experienced in the construction schedule and resource availability. Only Bridge Design and Plannings taken for the project consideration. After the detail creation of Bill of Quantities of the proposed bridge. Here the Bridge consists of four spans only. Each Span is of 10.4 m length. Bridge is located at Yellareddy Tank Bund Portion, Nizamabad district (Hyderabad-Medak-Bodhan). The Resource Planning is the creation of Organization Breakdown Schedule (OBS) and Enterprise Project Structure (EPS) of the project and also to create Work Breakdown Schedule (WBS) and to insert the corresponding activities and schedule them on the basis of created calendar and need to level/smoothen the resources and make effective use of them. Organization Breakdown Schedule (OBS) and Enterprise Project Structure (EPS) of the project has been created Work Breakdown Schedule (WBS) and the corresponding activities are created and need to schedule their resources to activities on the basis of created calendar and need to level/smoothen the resources. Resource Scheduling involves the Scheduling of Project and Activity Network Diagram. Resource allocation enables you to allocate equipment, labor, and material expenditures to your timetable. The reports in Primavera P6 may be used to track resource allocation and potential over-allocation of labor resources.
A Marine Small-Targets Classification Algorithm Based on Improved Convolutional Neural Networks

Deep learning, especially convolutional neural network (CNN) techniques, has been shown to have superior performance in ship classification, as have small-target recognition studies in safety inspections of hydraulic structures such as ports and dams. High-resolution synthetic aperture radar (SAR)-based maritime ship classification plays an increasingly important role in marine surveillance, marine rescue, and maritime ship management. To improve ship classification accuracy and training efficiency, we proposed a CNN-based ship classification method. Firstly, the image characteristics of different ship structures and the materials of ship SAR images were analyzed. We then constructed a ship SAR image dataset and performed preprocessing operations such as averaging. Combined with a classic neural network structure, we created a new convolutional module, namely, the Inception-Residual Controller (IRC) module. A convolutional neural network was built based on the IRC module to extract image features and establish a ship classification model. Finally, we conducted simulation experiments for ship classification and analyzed the experimental results for comparison. The experimental results showed that the average accuracy of ship classification of the model in this paper reached 98.71%, which was approximately 3% more accurate than the traditional network model and approximately 1% more accurate compared with other recently improved models. The new module also performed well in evaluation metrics, such as the recall rate, with accurate classifications. The model could satisfactorily describe different ship types. Therefore, it could be applied to marine ship classification management with the possibility of being extended to hydraulic building target recognition tasks.
An Ensemble Learning Approach For Task Failure Prediction In Cloud Data Centers

Due to cloud computing’s extensive use and diverse nature, they experience failures in terms of software, service, and platform, which lead to the failure of task execution, resource waste and performance deterioration. Most studies focused on failure prediction resulted in lower prediction accuracies due to limited attributes and a single prediction model. Hence, in this paper, an efficient ensemble model for task failure prediction is put forth. Initially, the input dataset is collected and pre-processed. In pre-processing, the dataset is cleaned up of all null values. Then, the dimensionality of the pre-processed dataset is reduced by using the PCA algorithm. Thus, the reconstructed dataset is split into training and testing sets to train failure prediction models. The proposed model employs an ensemble learning approach based on different ML and DL algorithms. Then, a comparative study is performed, and the results show that task failure in the cloud system can be effectively predicted using the proposed ensemble method.
Pengelolaan Sistem Informasi Manajemen Pada Swalayan Indomaret di Jalan Rajawali Kota Palangka Raya

The existence of the modern market has received great attention and welcome from the public, especially the middle to upper economic community due to several things, for example the location is in a strategic place, air conditioned, comfortable, and the promotion of goods offered is cheaper than the price of goods in the market. traditional market. The formulation of the problem in this study is 1) How is the Management of Management Information Systems at Indomaret Supermarkets on Jalan Rajawali Palangkaraya City? 2) What is the role of the management information system at the Indomaret supermarket on Jalan Rajawali, Palangka Raya? 3) What is the role of management information system technology at Indomaret Supermarkets on Jalan Rajawali, Palangka Raya City?. The purpose of this study to identify and describe, namely: 1) Management of the management information system at Indomaret Supermarkets on Jalan Rajawali, Palangka Raya City. 2) The role of management information systems at Indomaret Supermarkets on Jalan Rajawali, Palangka Raya City. 3) The role of management information system technology at Indomaret Supermarkets on Jalan Rajawali, Palangka Raya City. This research was conducted using a qualitative method, an approach that is carried out on all research objects so that the data search process can run easily and according to plan. The location of this research was carried out at Indomaret supermarket on Jalan Rajawali, Palangka Raya city. Sources of research data are primary data sources that are directly given to researchers and source data that are not directly given to researchers, for example through other people or through documents. The data collection procedure is by (1) Observation, (2) Interview, (3) Documentation. Analysis of the data used in this study is a qualitative analysis, namely an analysis that describes what actually happened to the object of research. The results of the study indicate that the management of management information systems must consider the efficiency of the company's data source system in guaranteeing information through the application of management information systems. Research suggestions improve management and management information systems to be more effective and efficient and improve product information.
Examples of Coherent States Beyond SU(2)

Before the introduction of the general theory of coherent states for arbitrary Lie groups, this chapter discusses two simplest examples of generalized coherent states beyond SU(2), namely, SU(1,1) and SU(3) coherent states. We shall illustrate the general procedures for constructing coherent states with these two examples.
Intellectual Property Law

Intellectual property rights, also known as intellectual property rights, are the exclusive rights that civil subjects legally enjoy over their creative achievements. Intellectual property rights include copyright and its related rights as well as patent rights, trademark rights and other industrial property rights. As a kind of civil rights, what intellectual property rights protect most is the creative intellectual achievements of human beings. Accordingly, the main contents of the adjustment of the intellectual property right system based on this right are the two bases of the whole human civilization—science and technology and literature and art.
Conclusion

This book has presented a comprehensive survey of collision detection methods for robot manipulators, with a focus on four learning-based detection methods, two using supervised learning algorithms and the other two based on unsupervised anomaly detection.
Gauss-Based Honey Badger Algorithm for Step-Cone Pulley Optimization Problem

This study considers the application of the improved Gauss-based Honey badger algorithm (Gauss-based HBA) to deal with the popular constrained optimization problem regarding the minimization of the weight of the step-cone pulley. The concept of the proposed swarm intelligence algorithm is described, and the mathematical formulation is detailed. Afterward, the step-cone pulley optimization is presented graphically with the mathematical model regarding objective function and eleven constraints. The comparative study was performed to validate the performances of the Gauss-based HBA that proved to be efficient for this optimization problem.
Recommendation System for Prospective Bride and Groom Using Cosine Similarity Algorithm

Ta'aruf is an introductory process intended for getting to know each other between two individuals which is expected to continue at the marriage level. Forum ta'aruf Padi Melati is an institution under the Regional Leadership of Muhammadiyah Bantul that aims to become a medium for cadres Nasyi'atul Aisyiyah and Muhammadiyah Youth in finding a life partner. The ta'aruf process carried out by the current Forum ta'aruf Padi Melati is still carried out using information exchange via WhatsApp through forum leaders where the candidates will send biodata and criteria for the desired partner. The purpose of this study was to design a website prototype to help the managers of the Ta'aruf Padi Melati Forum to do matching Potential Pairing with the Application of the Cosine Similarity Algorithm. The application of the Cosine Similarity algorithm aims to compare the degree of fit of several candidates. The research method is carried out in several stages starting in stages, namely interviews with the managers of the jasmine rice ta'aruf forum, then conducting by applying the Cosine similarity method to create a classification of category pairs into groups according to the degree of similarity of the criteria. The final result is the degree of match of the pair criteria expected by each participant.
Language Report Hungarian

Abstract The revolutionary expansion of language technologies (LT) in the last decade and the emergence of neural networks has heavily impacted LT. This is reflected in the development of Hungarian NLP as well, as numerous high-quality LMs, tools and datasets have been created. However, new, huge datasets are still needed to train LMs. Due to being a lesser resourced Uralic language with a smaller number of speakers, Hungarian LT has to face challenges often different from those of large Indo-European languages like English. Here we present a snapshot of this important period in the development of Hungarian LT, with special attention to language resources, and we outline some of the possible next steps.
Deep Dive Machine Translation

Abstract Machine Translation (MT) is one of the oldest language technologies having been researched for more than 70 years. However, it is only during the last decade that it has been widely accepted by the general public, to the point where in many cases it has become an indispensable tool for the global community, supporting communication between nations and lowering language barriers. Still, there remain major gaps in the technology that need addressing before it can be successfully a0146pplied in under-resourced settings, can understand context and use world knowledge. This chapter provides an overview of the current state-of-the-art in the field of MT, offers technical and scientific forecasting for 2030, and provides recommendations for the advancement of MT as a critical technology if the goal of digital language equality in Europe is to be achieved.
Local and global character representation enhanced model for Chinese medical named entity recognition

Chinese medical named entity recognition (CMNER) aims to extract entities from Chinese unstructured medical texts. Existing character-based NER models do not comprehensively consider character’s characteristics from different perspectives, which limits their performance in applying to CMNER. In this paper, we propose a local and global character representation enhanced model for CMNER. For the input sentence, the model fuses the spacial and sequential character representation using autoencoder to get the local character representation; extracts the global character representation according to the corresponding domain words; integrates the local and global representation through gating mechanism to obtain the enhanced character representation, which has better ability to perceive medical entities. Finally, the model sent the enhanced character representation to the Bi-LSTM and CRF layers for context encoding and tags decoding respectively. The experimental results demonstrate that our model achieves a significant improvement over the best baseline, increasing the F1 values by 1.04% and 0.62% on the IMCS21 and CMeEE datasets, respectively. In addition, we verify the effectiveness of each component of our model by ablation experiments.
EVALUATIVE CHARACTERISTICS IN RESEARCH ADVISORS’ REVIEWS IN THE FRAMEWORK OF ACADEMIC DISCOURSE

Problem Statement. The paper focuses on evaluative characteristics of research advisors’ reviews functioning in the framework of academic discourse. Evaluative strategies and tactics have been revealed for the first time as a part of a research advisor’s review. Results. The research has shown that research advisors characterize positively various aspects of graduate students’ research papers and the way they organized their research work. Negative evaluations are not verbalized, but teachers implicitly mention that their students should organize their work more thoroughly in the future. The fact that academic discourse has been acquired by the student to the full extent serves as a positive characteristic of their work, and, therefore, includes all the evaluations relevant for doing a research and for research results. In all the structural elements of the reviews research advisors use a variety of evaluative means. The latter are represented to a lesser extent in the structural element concerning the Ability of a student to retrieve information and to use a variety of information resources. Conclusion. Research advisor’s review as a genre of academic discourse is an amalgam of evaluative means which enable the research advisor to explicitly verbalize his attitude towards a student research work. Evaluative means characterize those aspects of research work which are specified in the body of the review as structural elements. Moreover, teachers specifies work ethic, ethical behavior, personal characteristics that are crucial for the research work. The research has revealed evaluative strategies of intensification, recommendation, stating and implication.
Language Report Polish

Abstract The quality of language technology (LT) for Polish has greatly improved recently, influenced by three independent trends. The first one is Poland-specific and concerns the increase in national funding of both scientific and R&amp;D projects, resulting in the construction of The National Corpus of Polish and the development of the CLARIN-PL and DARIAH-PL infrastructures. Two other trends are global: the development of language resources (LRs) and tools by private companies and of course, the deep learning revolution which has led to enormous improvements in the state-of-the-art in all fields of language processing.
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations

Considering a probability distribution over parameters is known as an efficient strategy to learn a neural network with non-differentiable activation functions.We study the expectation of a probabilistic neural network as a predictor by itself, focusing on the aggregation of binary activated neural networks with normal distributions over real-valued weights.Our work leverages a recent analysis derived from the PAC-Bayesian framework that derives tight generalization bounds and learning procedures for the expected output value of such an aggregation, which is given by an analytical expression.While the combinatorial nature of the latter has been circumvented by approximations in previous works, we show that the exact computation remains tractable for deep but narrow neural networks, thanks to a dynamic programming approach.This leads us to a peculiar bound minimization learning algorithm for binary activated neural networks, where the forward pass propagates probabilities over representations instead of activation values.A stochastic counterpart that scales to wide architectures is proposed.
Content Analysis of Augmented Reality in Viral Video Advertising

In the digital era, networking hardware is mature and stable, and various new media have been derived, driving the trend of AR advertising. The advertising industry gradually regards AR as an important communication tool for advertisers to launch marketing campaigns (Craig, 2018). The advertising campaigns combine new AR technology that allows customers to participate in
Factors Associated With Videoconference Fatigue Among Healthcare Workers in a Tertiary Government Hospital

This study was conducted to determine the presence of videoconference fatigue (VCF) and the factors associated with it. It was approached through an analytic, cross-sectional research design and a non-probability convenience sampling. The respondent’s demographic and videoconference (VC) profiles were obtained using a closed-ended questionnaire. A validated and reliable 15-item Zoom Exhaustion and Fatigue (ZEF)
Pedagogical technologies for the development of professional communicative competence of future primary school teachers

In the modern period of higher education development, the problem of formation of a future specialist, whose main characteristics are the ability to conscious personal growth, orientation to overcome social and professional stereotypes, strengthening of professional responsibility, leadership qualities is relevant. This process is connected with the formation of educational models and technologies. The urgency of the article is caused by the acute necessity to change the content of modern education. The problems of forming professional and communicative competences of students are considered. The authors regard the competence approach as the basic approach in the conditions of humanization of modern education. Emphasis is placed on the fact that there was a change of the vector of the educational process in the direction of learning outcomes from knowledge-based approach to practice-oriented one. In the article the pedagogical conditions promoting effective formation of communicative competence of the future teacher are revealed, which include: realization of interrelation of academic disciplines at formation of communicative competence; use of active and interactive methods of teaching in the educational process; use of integrated courses at formation of communicative competence of the future teacher; introduction of the activity approach in communicatively-oriented practice. In the article, the authors emphasize the need to form the communicative competence of a future teacher in the process of professional formation. Since communicative competence is basic in the professional activity of a teacher and is the main component of the professionalism. Significant skills of a teacher's communicative competence are the ability to build a dialogue, a communicative attack, while showing tact, politeness, correctness, etc. A systematic approach makes it possible to form a teacher's communicative culture, develop his competencies, enrich intellectual potential, and form communicative competence.
ANALYSIS OF RECREATIONAL NEEDS OF NORTHERN UNIVERSITY STUDENTS ENGAGED IN PHYSICAL ACTIVITIES

The article studies recreational needs and determines the most preferred active and passive forms of recreational activities of full and part-time students of a northern university. The purpose of the study was to analyze the recreational needs of full and part-time students of the northern niversity (through the example of Surgut State University) engaged in physical activities. The study involved 104 full-time students and 93 part-time students. Based on the results of the analysis of the students’ recreational needs and taking into account the most preferred types of recreational activities, practical recommendations were elaborated together with a number of general recommendations, which were given to the students.