Reviewerly/exHarmony huggingface dataset:
Combining deep learning model compression techniques

In this article, we evaluate the performance of combining several model compression techniques. The techniques assessed were dark knowledge distillation, pruning, and quantization. We found that in the scenario in which we developed the experiments, classification of chest x-rays, the combination of these three techniques yielded a new model capable of aggregating the individual advantages of each one. In the experiments we used a combination of deep models with 95.05% accuracy, a value higher than that reported in some related works but lower than the state of the art, whose accuracy is 96.39%. The accuracy of the compressed model in turn was 90.86%, a small loss compared to the gain obtained from the reduction, in bytes, in relation to the size of the original model. The size has been reduced from 841MB to 40KB, which opens up the possibility for using deep models in edge computing applications.
LECTURERS’ DIFFI CULTIES IN ARRANGING RESEARCH ACTIVITIES

This paper presents the study of problem situations and typical difficulties faced by the lectors of modern higher education in carrying out research activities. The most important objective of the university administration is to create favorable conditions for undertaking this activity, provide it with the necessary resources, including organizational, pedagogical, psychological, methodological, financial, and other support for lectors, who are actively engaged in scientific activities and demonstrate high performance in it. In the course of the study aimed at identifying typical difficulties encountered by university lectors in the process of research activities, more than 200 applications were recorded and differentiated by category of scientific and pedagogical workers: young scientists (teachers without a degree under the age of 30 (inclusive); teachers with a Ph.D. degree up to 35 years (inclusive); lectors who conduct initiative scientific work; and lectors who are executors and/ or managers of funded research projects. Cluster analysis allowed grouping the subjects of requests (typical problems) into several blocks: – problems of determining the ways and prospects for the development of research activities; – problems of lector competence; – socio-psychological problems. The practical signifi cance of the research lies in obtaining reliable and necessary information to plan the professional and personal development of a lector, solve organizational, methodological, resource, and other problems of managing research activities. Further research will experimentally verify the models proposed to support research activity and evaluate their effectiveness.
Preface

The 2021 4th International Conference on Advanced Algorithms and Control Engineering (ICAACE 2021) was successfully held online through Zoom on Jan. 29-31, 2021. Due to COVID-19 and the pandemic-related nationwide lockdowns and other coordinated restrictive measures, the organizers decided to hold a conference in a virtual format with the organization of access for all participants to the presented reports with comprehensive discussion for ensuring the event at a high scientific level. ICAACE 2021 is to bring together innovative academics and industrial experts in the field of advanced algorithms and control engineering to a common forum. The primary goal of the conference is to promote research and developmental activities in advanced algorithms and control engineering. And another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in advanced algorithms and control engineering and related areas. The safety and well-being of all conference participants is our priority. The COVID-19 is unpredictable, so conference postponement met uncertainty, while many scholars and researchers want to attend this long-waited conference and have academic exchanges with their peers. But I want to note that there are no barriers to science, and we continue to work on our research areas remotely, using modern technical means. Under this situation, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&amp;A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches. More than 110 participants attended the meeting. We were greatly honored to have invited Prof. Ghassan Beydoun, from University of Technology Sydney and A. Prof. Antti Rasila, from Technion – Israel Institute of Technology, Guangdong Technion to serve as our General Conference Chair. There were over 20 experts and scholars in the area of Advanced Algorithms and Control Engineering representing different famous universities and institutes around the globe to form Conference Committees. List of Committee members are available in the pdf.
Research on the Restrictive Factors of Meaning Units’ Influence on Translation Equivalence — A Case Study of “마땅하다” and “理应”

This paper takes “마땅하다-理应” as an example, using corpus-based research method to examine meaning units of the two words, and finds that “마땅하다” and “理应” show a high degree of consistency in collocation, semantic selection tendency, and semantic prosody. They can be regarded as translation equivalence units. Meanwhile, we also come to the following conclusions: data-based analysis of meaning units (extended meaning units and meaning shift units) is an effective way to determine translation equivalence. The collocations, semantic selection tendency, and colligation in the meaning units are all likely to have a key influence on translation equivalence, but semantic prosody is still the decisive factor in judging translation equivalence. Colligation in the analysis of meaning units can provide a clear grammatical framework for extracting collocation words and a more detailed classification approach for generalizing semantic selection tendency, semantic prosody and meaning-shift units, and can also have a direct impact on the semantic prosody of certain node words, that is, node words have a clear attitudinal meaning in certain colligations and construct semantic prosody with clear tendency.
[RETRACTED] FuelFix Pro v1

[RETRACTED] One client claims it was the "best buy I made in some time," asserting he saved "hundreds at the siphon every year" in the wake of introducing FuelFix Pro. One specialist claims he utilized FuelFix Pro to further develop his vehicle's fuel framework. That repairman asserts a few vehicles normally draw more influence than they need and that FuelFix Pro invalidates this impact, saving you money.You needn't bother with a clunker to profit from FuelFix Pro. FuelFix Pro chips away at all vehicles, including more modest vehicles, bigger trucks, and everything in between.FuelFix Pro won't harm your vehicle's motor, nor will it influence your vehicle's ECU in any huge manner. It can further develop execution, not hurt your vehicle. Assuming that you would rather avoid FuelFix Pro, you can turn off it to reestablish your ECU to its default settings.CLICK HERE:https://www.mynewsdesk.com/iexponet/pressreleases/fuelfix-pro-reviews-best-eco-obd2-fuel-saver-device-2022-reduce-your-cars-fuel-consumption-by-up-to-35-percent-3153259
Single-shot 3D profilometry using a color imaging polarimeter

We demonstrate a single-shot uniaxial three-dimensional (3D) profilometry system that illuminates a sample with a color structured polarization pattern with an axial chromatic aberration. We have previously shown that real-time 3D shape measurement can be performed without the occlusion problem using a polarization camera and a monochromatic polarized pattern. Here, we show that it is possible to double the depth range of the system, with no tradeoff in depth resolution, measurement speed, or accuracy, using color pattern projection and an RGB polarization camera. We present the measurement principles of the system and show the results of a real-time 3D profilometry experiment for a sample with a deep hole.
A study on the diversification strategy and decentralization strategy of SMEs

This study tried to emphasize the importance of decision-making for the advancement of differentiated competitive strategies based on decentralization strategies rather than continuous diversification strategies and an approach based on dichotomous resolution of competitive strategies as the basic starting point for the organizational competitiveness of SMEs. In the sense of diversification of diversification strategy and competition strategy, this means the importance of re-establishing a plan to upgrade the sustainability management system through decentralization. Therefore, it is a decentralization strategy, which is the third variable that judges the level of various resources possessed in an organization based on diversification and competition strategies. In other words, the relationship between diversification strategy and resource holding, competition strategy and resource holding level is proven, and as a result, it should be determined as the main criterion through decentralization at the organizational and business division level according to the company''s diversification strategy and resource holding level. In addition, for the sustainable management of the organization, it is considered as a decision-making method for the right decentralization strategy to consider various strategies, competitive strategies, and resource holding levels along with decision-making on decentralization through additional analysis. For sustainable management of SMEs, how to improve the interconnection between corporate-level research capability and business-level research execution capability is a key issue for corporate survival and growth. Therefore, this study emphasized that the various strategic activities carried out by a company should be executed in a complex and closely interconnected relationship with both the company level factors and the level factors for each business division.
Joint Lectures on Evolutionary Algorithms (JoLEA)

Centrum Wiskunde &amp; Informatica (CWI)'s Peter A.N. Bosman, Arkadiy Dushatskiy and Marco Virgolin, together with Leiden University's Thomas Bäck, Anna Kononova and Jacob P. de Nobel, Utrecht University's Dirk Thierens, and Vrije University of Amsterdam's Gusz Eiben, proudly present the Joint Lectures on Evolutionary Algorithms (JoLEA).
A Vendor Inventory Management Policy to Optimize Sales of Thermal Energy Using Evolutionary Algorithms

초록·키워드 목차 오류제보하기 In recent years, supply chain management with the aim of making the supply chain more efficient and reducing over-all costs, is one of the key issues addressed in every industry. In today"s energy supply chain, determining the level of sales for manufactured goods in specific time periods and to specific customer groups is very important. This becomes even more important when we have to do this for sensitive marine products that have different customer categories. This article presents a model for determining the optimal level of sales of thermal energy in two levels and according to customer demand in different time periods to determine the optimal level of sales using accurate methods and some meta-innovative methods. For this purpose, two meta-heuristic methods of particle swarm optimization (PSO) and the evolutionary algorithm CPSO have been used. #Hybrid Optimization #Two Echelon Supply Chain #PSO Algorithm #Vendor Inventory Management #Thermal industry ABSTRACT1. INTRODUCTION2. INTRODUCTION OF THERMAL ENERGY SUPPLY CHAIN3. LITERATURE REVIEW4. METHOD5. RESULTS6. CONCLUSIONREFERENCES
Analisis Image Comments to Image Likes Ratio Instagram Pada 5 Mobil Termahal di Dunia

Keyword : (Instagram Account Credibility; Social Media Marketing ; Social Media Instagram; Video Comments to Video Views Ratio ; World's Most Expensive Car Vendor).
Vendors build systems to counter Covid-19

Biometric product vendors continue to develop new systems to combat the Covid-19 pandemic, including a virus ‘digital passport’ and face mask detection products.
Evaluation of Amputee Rehabilitation Services in Gaza Governorates: Mixed Method Approach

We welcome the global community of professionals involved in the care of persons in need of prosthetic, orthotic, mobility and assistive devices to the ISPO 18th World Congress! [View Programme Overview in Oxford Abstracts](https://virtual.oxfordabstracts.com/#/e/ispo2021/program) I [View the Abstract Book](https://journals.lww.com/poijournal/toc/2021/12001) | [HowToTreat ISPO Edition](https://360-ot.de/howtotreat/)
Model and Pedagogical Conditions for Preparing a Future Teacher for the Implementation of Psychological and Pedagogical Support for Intellectually Gifted Schoolchildren

In this article, the authors consider the structural components of a future teacher's readiness to provide psychological and pedagogical support for intellectually gifted schoolchildren. The authors present the model as a certain system of organization, management and implementation of practical activities for the preparation of future teachers for the implementation of psychological and pedagogical support of gifted schoolchildren.
Control and Self-control in Physical Education and Sports Classes

A person forms as a personality in the process of his/her social life: during one’s school life, work, communication with people. During studying, training and especially during Physical Education and Sports classes, students undergo a big physical and emotional stress: quickly changing conditions, the ability to obey common rules and requirements, respect towards others contribute to the development of such personal features as strong will, self-control, self-confidence, endurance, discipline.
Recent Activities of Frontiers in Education Committee of IEE Japan, from 2020 to 2021

The new government course guidelines stipulate ’Proactive, Interactive, and Deep Learning’. And The Education Rebuilding Council propose ’Conversion to Learner-centered Education’. From this fiscal year, the Frontiers in Education Committee of IEEJ have put up 20 themes education and research. This paper explains activities of 2020-2021.
Vision-based Pakistani Sign Language Recognition Using Bag-of-Words and Support Vector Machines

Abstract In order to perform their daily activities, a person is required to communicating with others. This can be a major obstacle for the deaf population of the world, who communicate using sign languages (SL). Pakistani Sign Language (PSL) is used by more than 250,000 deaf Pakistanis. Developing a SL recognition system would greatly facilitate these people. This study aimed to collect data of static and dynamic PSL alphabets and to develop a vision-based system for their recognition using Bag-of-Words (BoW) and Support Vector Machine (SVM) techniques. A total of 5,120 images for 36 static PSL alphabet signs and 353 videos with 45,224 frames for 3 dynamic PSL alphabet signs were collected from 10 native signers of PSL. The developed system used the collected data as input, resized the data to various scales and converted the RGB images into grayscale. The resized grayscale images were segmented using Thresholding technique and features were extracted using Speeded Up Robust Feature (SURF). The obtained SURF descriptors were clustered using K-means clustering. A BoW was obtained by computing the Euclidean distance between the SURF descriptors and the clustered data. The codebooks were divided into training and testing using 5-fold cross validation. The highest overall classification accuracy for static PSL signs was 97.80% at 750×750 image dimensions and 500 Bags. For dynamic PSL signs a 96.53% accuracy was obtained at 480×270 video resolution and 200 Bags.
Cost-Oriented Electronic Voting System Using Hashing Function with Digital Persona

Democracy is the anchor of the puissant and authoritative government. Fair, free, and transparent elections are crucial for electing competent leaders in democratic government. But in conventional election systems, rig-free elections are the most challenging task. Hence, the security of the system and the authenticity of voter identity are the major problems. This chapter presents a proficient and secure electronic-voting system. We authenticate the licitness of the voter by voter ID and biometric fingerprints. The security of the system is obtained by VPN on a specific domain. The adequate and effectual result is generated through the autocount process. The confirmations message is also sent to authenticate the voter. The proposed system enhances the confidentiality, integrity, and authentication of the voting scheme, reduces the cost, and improves the efficiency of the voting process. Results are dynamically updated via graphical representation. This approach increases the voter's gratification and builds the trust towards the election system.
TELECOMMUNICATIONS: Ethiopia

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 58, Issue 4 p. 23418C-23419C Communications and Transport TELECOMMUNICATIONS: Ethiopia First published: 12 June 2021 https://doi.org/10.1111/j.1467-6346.2021.10035.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume58, Issue4June 2021Pages 23418C-23419C RelatedInformation
Not all Ising machines are created equal: choice of nonlinearity induces order-of-magnitude differences in computational performance

Various nonlinear systems have been proposed for Ising machines, yet little insight exists into their suitability. We find the choice of nonlinearity to induce order-of-magnitude improvements in time-to-solution for saturable nonlinearities.
<i>Library Management: A Practical Guide for Librarians (Practical Guides for Librarians No. 77)</i>

"Library Management: A Practical Guide for Librarians (Practical Guides for Librarians No. 77)." Journal of Electronic Resources Librarianship, 33(4), p. 319
Education 4.0 and its impact on the educational system during the pandemic and post pandemic Covid 19 in Ecuador

The technological advances that the world has experienced over the years have brought about important changes in the structures of society. Education is one of the fields in which the industrial revolution, driven by technological development, exerted a significant impact, as technology allowed the student to freely access more information and therefore more knowledge. Education 2.0 and 3.0 brought not only access to information, but also greater connectivity and interaction between people, particularly between teachers and their students. The dynamism of technology also brought opportunities for innovation with Education 4.0, changing the existing paradigm until its emergence by merging the digital, the biological and the physical, and influencing the way of life of the individual, his relationship with those around him and his skills to meet the demands and basic roles in society. These changes meant the application of new educational methodologies, oriented to a meaningful learning that prepares the individual with the necessary skills to face the working world.
The impact of human resource planning (HRP) in achieving strategic goal of the firm with moderating role of organizational innovation

The aim of this study is to ex amine the impact of human resource planning (HRP) in achieving strategic goal of the firm and organizational productivity. Structural equation modeling (SEM) approach is used to investigate causal relationship among exogenous and endogenous variables. Findings indicate that underpinned factors like talent management, succession planning, job analysis, staffing plan, and career development have showed positive impact to predict strategic goals of the firm. The interaction effect between achieving strategic goal and organizational innovation is found significant and confirmed that the positive relationship between achieving strategic goal of firm and organizational productivity will be stronger when organizational innovation is higher. Effect size analysis〖 f〗^2 indicates that employee creativity has the highest effect size in achieving strategic goal of the firm. Finally, the current study contributes to theory and practice while showing the importance of human resource planning in predicting organizational productivity.
Developing a RadLex-Based Named Entity Recognition Tool for Mining Textual Radiology Reports: Development and Performance Evaluation Study (Preprint)

<sec> <title>BACKGROUND</title> Named entity recognition (NER) plays an important role in extracting the features of descriptions such as the name and location of a disease for mining free-text radiology reports. However, the performance of existing NER tools is limited because the number of entities that can be extracted depends on the dictionary lookup. In particular, the recognition of compound terms is very complicated because of the variety of patterns. </sec> <sec> <title>OBJECTIVE</title> The aim of this study is to develop and evaluate an NER tool concerned with compound terms using RadLex for mining free-text radiology reports. </sec> <sec> <title>METHODS</title> We leveraged the clinical Text Analysis and Knowledge Extraction System (cTAKES) to develop customized pipelines using both RadLex and SentiWordNet (a general purpose dictionary). We manually annotated 400 radiology reports for compound terms in noun phrases and used them as the gold standard for performance evaluation (precision, recall, and F-measure). In addition, we created a compound terms–enhanced dictionary (CtED) by analyzing false negatives and false positives and applied it to another 100 radiology reports for validation. We also evaluated the stem terms of compound terms by defining two measures: occurrence ratio (OR) and matching ratio (MR). </sec> <sec> <title>RESULTS</title> The F-measure of cTAKES+RadLex+general purpose dictionary was 30.9% (precision 73.3% and recall 19.6%) and that of the combined CtED was 63.1% (precision 82.8% and recall 51%). The OR indicated that the stem terms of &lt;i&gt;effusion&lt;/i&gt;, &lt;i&gt;node&lt;/i&gt;, &lt;i&gt;tube&lt;/i&gt;, and &lt;i&gt;disease&lt;/i&gt; were used frequently, but it still lacks capturing compound terms. The MR showed that 71.85% (9411/13,098) of the stem terms matched with that of the ontologies, and RadLex improved approximately 22% of the MR from the cTAKES default dictionary. The OR and MR revealed that the characteristics of stem terms would have the potential to help generate synonymous phrases using the ontologies. </sec> <sec> <title>CONCLUSIONS</title> We developed a RadLex-based customized pipeline for parsing radiology reports and demonstrated that CtED and stem term analysis has the potential to improve dictionary-based NER performance with regard to expanding vocabularies. </sec>