Reviewerly/exHarmony huggingface dataset:
Influence of Knowledge Management in Organization Culture and Employee Performance

The main concept of the  researchstudy is to examine the sway of knowledge management and employee performance. Employee performance has greater positive impact on creating financial rewards. Onthe root of this study it was concluded that impact of knowledge management  has positive correlation with employee job performance. Knowledge management is the most important Ingredient of innovation, high praised resource for sustainable competitiveness and long term business success.
Peter Crosthwaite & Lisa Cheung, Learning the Language of Dentistry. Disciplinary Corpora in the Teaching of English for Specific Academic Purposes.. John Benjamins Publishing Company, 2019

This 93rd volume is part of the larger Studies in Corpus Linguistics (SCL) collection. Entitled Learning the Language of Dentistry – Disciplinary Corpora in the Teaching of English for Specific Academic Purposes, it was co-written by two corpus linguists, Peter Crosthwaite from the University of Queensland and Lisa Cheung from the University of Hong Kong. Following Hyland’s work, the two authors analyse the use of data-driven learning (DDL) for dentistry students from the University of Hong K...
11 The Role of Municipal Public Libraries in the E-Transformation of Turkey

The Libraries for Everyone/Herkes için Kütüphane Project commenced in Turkey in 2016. Funded by the Bill & Melinda Gates Foundation Global Librar­ies Initiative, the main goal of the project was that municipal public libraries become centres to support the lifelong learning of local citizens, particularly those who belong to disadvantaged segments of society. Libraries are invited to join the project which offers collaborative opportunities. There is a key role in the project for the Turkish Library Association/Türk Kütüphaneciler Derneği’ (TLA/ TKD) and the sustainability of the project is especially important for the future of librarianship in Turkey. Partnerships created between the local government and the branches of the Turkish Library Association are expected to enhance the e-transformation efforts of Turkey. An overview of public libraries in Turkey is provided and the achievements of the project outlined.
Has Knowledge Improved Economic Growth? Evidence from Nigeria and South Africa

This study examines whether knowledge causes economic growth in Africa's two leading economies: Nigeria and South Africa. Using the Vector Autoregressive and Vector Error Correction approach, the findings show cointegration among the variables. The speed of convergence of the variables to their long-term mean values is relatively higher for South Africa than for Nigeria. In the short run, it is observed that knowledge unidirectionally Granger causes growth for Nigeria, whereas bidirectional causality is observed for South Africa. The higher correlation between knowledge and growth in South Africa reflects the success of greater investment in education. Nigeria must increase investment in education and modern infrastructure to converge to South Africa’s growth trajectory. Moreover, for Nigeria, (i) knowledge unidirectionally Granger cause growth, (ii) evidence of bidirectional causality flow is apparent between trade, the economic incentive and growth and (iii) health unidirectionally Granger cause knowledge. As for South Africa: (i) there is bidirectional causality between knowledge, trade openness and growth, whereas investment and economic incentive, unidirectionally Granger causes growth, (ii) investment, trade openness and health unidirectionally Granger cause knowledge and (iii) economic incentive unidirectionally Granger cause trade openness. In conclusion, this paper argues that a transformed education system can provide the knowledge base essential for promoting and sustaining economic growth.
From a PhD to assisting biomusic research

This chapter describes the author’s practice and experience in transitioning from being a PhD in Music Technology candidate to a research assistant on a large-scale funded project. Both research works were delivered in a multidisciplinary environment and through a continuous feedback loop between academics, musicians and industry partners. The practice of these works was driven by computer science approaches applied in a musical context. Challenges imposed by the research and the timeline were significant, but at the same time, they fostered musical creativity and contribution to knowledge. Different aspects of practice-based research in this setting will be described relying on the author’s observations and experience.
Perlaksanaan dan Cabaran Teknologi Internet of Things (IoT) Di Kalangan Kontraktor Dalam Sektor Industri Pembinaan

The Internet of Things, or ‘IoT,' is one of the most prominent themes in the 4.0 industrial revolution, and it is projected to have a significant impact on the country's diverse industrial sectors. The Internet of Things (IoT) is a network of physical items, cars, and other things that are equipped with electronics, software, sensors, actuators, and network connections to collect and share data. The Malaysian economy will encounter difficulties in the current period of industrial revolution 4.0 if the industry is not ready. The objectives of this paper is to determine the extent to which IoT technology is being used by contractors in the construction sector, as well as the sorts of IoT applications that are being employed. The focus of this research is on G7 rated contractors in Johor Bahru. The questionnaire was delivered in the form of a Google form, and the study methodology was quantitative. According to the findings of the study, the use of websites as a source of reference to collect data, the internet as a medium to advertise tenders, and the use of drones to monitor work on construction sites are among the most common IoT technology implementations among the highest contractors. Email, social media platforms like WhatsApp, Facebook, and Telegram, and GPRS applications like Waze and Google Maps are all used by contractors in the construction sector. Finally, to enhance the use of IoT applications in the construction industry, the installation and encouragement of these applications should be sustained.
Efficient hardware implementation of TEA, XTEA and XXTEA lightweight ciphers for low resource IoT applications

Among instances when the data security in resource constrained environment is taken into consideration, lightweight encryption algorithms admit in popularity and are deemed to be of great merit. Reduction of both power consumption and area are always a major concern. Tiny encryption algorithm (TEA) is one of the lightweight cryptographic algorithm with block size of 64-bit and key size of 128-bit follows Feistel network structure and further this algorithm is modified as extended tiny encryption algorithm (XTEA) and Corrected tiny encryption algorithm (XXTEA). This paper have proposed highly efficient round-based architectures of TEA, XTEA and XXTEA to make them suitable for the low area, low power applications. The strategy is to optimise the hardware design for low resource applications. All the three proposed architectures are extensively evaluated and compared on the basis of performance, and area utilisation for their implementations in different field-programmable gate array (FPGA) platforms.
Target Detection Based on SSD-Mobilenet Model

In order to shorten the training time of the model and speed up the rate of the convergence of the network during the target detection,this paper adopts a method combining convolutional neural network and transfer learning.The detection speed of the SSD network is fast and the mobilenet lightweight network takes up less memory. SSD-Mobilenet model combines the advantages of SSD network and Mobilenet network. Firstly,the SSD-Mobilenet model is pre-trained with the COCO dataset to obtain the pa?rameters and bottleneck description factors of the model. Then the Pets dataset is used to retrain the full connection layer of the net?work. Using the idea of transfer learning,the model can converge in a short time with small datasets. The experimental results show that the total training time is about 11 hours,and the detection accuracy reaches 74.5%. This shows that the method combined with SSD-Mobilenet model and transfer learning can shorten the training time of the model,accelerate the convergence speed of the mod?el and have a high detection accuracy.
Artikel) Early Reading through Storytelling Activities

Storytelling has been a part of children’s life. They loved being told as well as telling a story. Being told a story made them see what has been read, and telling a story made them talk as they spoke it out. As the children learn a language, story is one effective way for them to learn a language. This study is aimed to find out to what extent storytelling could help young children with their early reading comprehension in terms of story-retell. One class in one national plus school has been the setting of the study with 13 students as the subjects. A mix method was implemented through a classroom action research design. This study came up with a significant result that storytelling activities have been effective ways to increase young children’s retell fluency, both in content and fluency. The help of pictures, cue cards, and flashcards has been very efficient in helping young children to have a better comprehension in their early reading. These teaching aids had also been able to motivate them to be more active and engaged during the class.
Analysing the Suspicious Behaviour in Video Survillience for Crime Detection Using Gait Speed Monitoring

One of the most emergent research is suspicious behaviour monitoring in video surveillance. In recent past, crime detection is powerful topic to identify the abnormal events or crime events. This work focused on the suspicious behaviour analysis which helps to detect the crime events in terms of gait parameter. This work describes the following tasks. First, tracking the pedestrians from video data using MM track algorithm i.e. (calibration process). Second, extracting the gait parameters based on proposed modules: 1) spatial coordinate module contains the speed profiles which helps to measure the suspicious behaviour of pedestrian. 2) Fixed coordinate system module, it also measures the suspicious behaviour in different way based on the list of components and axis of the pedestrians. This step performs the major role in measure the suspicious behaviour among the pedestrians’ movement for crime detection. Third, measure the suspicious behaviour in terms of walk ratio, Acceleration Auto Correlation (AAC) and gravity, dynamic, horizontal, vertical components of pedestrians as well this step θ value performs the validation role which is based on the reference range to validate the Walk Ratio value. The video helps to monitor the pedestrian’s movement. This work is compared to the different pedestrian’s detection technique such as DPM (Deformable Part Model) and Real Boost method foe efficiency in terms of true positive rate and pedestrian gait speed detection time parameters. Proposed work attains best result in both parameters.
A Universal Mind

Charlotte ‘Bebe’ Wind Barron’s name has become synonymous with mid-century electronic film music and she is often referred to as the godmother of electronic music. Active in film composition from the 1950s to the 1970s in collaboration with her then-husband, Louis Barron, the majority of films on which she worked were either shorts for industry, such as IBM and Western Electric, or short avant-garde films for directors like Ian Hugo and Maya Deren. The one feature-length film for which she is known is Forbidden Planet (1956). This chapter examines the film career of Bebe Barron and untangles her role in film composition from that of her husband. In examining her role in their collaborations, it becomes clear that without the work Bebe put in by listening to thousands of hours of recordings, which Louis did not want to do, their film scores would have never come to fruition. Most discussions of her film career centre on Forbidden Planet, and this essay will discuss her process in composing that work, but special attention will also be paid here to her other smaller-scale film works. Through a critical examination of her interviews, a more accurate picture of her role in film composition will emerge.
Design of Convergence Music Class based on Leonardo da Vinci’s Principles of Thinking

본 연구의 목적은 레오나르도 다빈치의 사고 원리에 기반하여 융합적인 음악수업을 설계하는 것이다. 이 연구에서는 학문의 융합에 뛰어난 업적을 남겼던 레오나르도 다빈치의 생각을 7가지 사고 원칙으로 구분하여 분석한 마이클 J. 겔브의 이론을 바탕으로 융합적인 음악수업을 설계하였다. 연구의 방법으로는 첫째, 문헌을 통하여 융합교육의 전반적인 내용을 이해하고 레오나르도 다빈치의 융합적 사고에 대해 알아보았다. 둘째, 레오나르도 다빈치의 사고에 입각하여 융합적 음악수업의 원리와 의미에 대하여 논하였다. 셋째, 레오나르도 다빈치의 사고에 기반하여 국어교과와 연계한 융합적 음악수업을 설계하였다. 융합수업의 설계는 두 번의 절차를 걸쳐 완성되었다. 첫 번째 절차는 융합적 음악수업의 설계를 위한 기초 연구로서, 문헌연구를 바탕으로 작성되었다. 두 번째 절차에서는 전문가의 검토를 반영하여 레오나르도 다빈치의 사고 원칙에 기반한 융합적 음악수업을 최종적으로 설계하였다. 4차 산업혁명 시대를 맞이하여 융합이 강조되는 현대에 이 연구가 융합적 음악수업을 설계하는데 기초적인 자료로 활용될 수 있기를 기대한다.The purpose of this study is to design convergent music classes based on Leonardo da Vinci s thinking principles. This study designed convergent music classes based on the theory of Michael J. Gellb, who analyzed Leonardo da Vinci s ideas, which had made outstanding achievements in convergence of learning, into seven thinking principles. As a way of research, first, we understood the overall content of convergence education through literature and looked into Leonardo da Vinci s convergence thinking. Second, based on Leonardo da Vinci s thinking, he discussed the principles and meanings of convergent music classes. Third, based on Leonardo da Vinci s thinking, he designed a convergent music class linked to the Korean language textbook. The design of the fusion class was completed over two procedures. The first procedure is a fundamental study for the design of convergent music classes, which is based on literature research. In the second procedure, convergent music classes based on Leonardo da Vinci s thinking principles were finally designed, reflecting expert reviews. In modern times when convergence is emphasized in the era of the 4th Industrial Revolution, it is hoped that this research can be used as a basic material for designing convergent music classes.
Evaluation of desert aerosols impact on the solar radiation received by a photovoltaic field

This work focuses on the assessment of desert aerosols impact on the global solar radiation of photovoltaic (PV) solar fields. We used data from the experiment carried out using the multilayer model. Two parameters were used, namely the optical aerosol depth () and the aerosol deposition thickness on the surface of the PV solar field (X). By simulations, using variations of these parameters, we noted for the extremes values of &nbsp;(X = 1.5 μm, &nbsp;= 0 μm) and (X = 0, &nbsp;= 1.5 μm), an attenuation of the overall radiation of respectively 84.85% and &nbsp;98.78%. This clearly shows that the parameter &nbsp;is the most attenuating factor of the global radiation in comparison with X. In view of the results obtained, it appears that desert aerosols have a significant impact on the electric yield of solar photovoltaic systems in West Africa especially in the Sahel region.
On the statistics of anomalous clumps in random point images

New algorithms for calculating exact analytical formulas describing two related probabilities are proposed, substantiated and software implemented: 1) the probability of the formation of anomalously large local groups in a random point image; 2) the probability of the absence of significant local groupings in a random point image.
Chapter 1. Introduction to the 2020 Library Technology Industry

Chapter 1 of Library Technology Reports (vol. 56, no. 8) introduces the coverage of the report. Libraries rely on commercial providers for their technology products. They expect a competitive business environment, but for vendors it is a difficult one. Consolidation of the industry through mergers and acquisitions is a prevailing theme of the past decade or two, which is the topic of this report.
Transformation of ‘Noise’ by Blurring the Boundaries - Focusing on a sound design analysis of [Under the skin]

It is noteworthy that the boundaries of music, dialogue, and sound, which are the three major elements of sound, are becoming blurred, and that the boundaries are becoming blurred in recent movie soundtracks. Advances in electronic technology have made recording possible and also allowing sound to be captured. As a result, noise became recognizable. Since then, the soundtrack of modern movies, which tried to reject and remove noise, has evolved in the direction of actively using noise. The use of noise as a new material for music opened up a world of more flexible and rich film sound. This paper examines the aspect of breaking down the sound boundary, focusing on the use of noise in the movie <Under the Skin>. In particular, the analysis will be focused on the 'narrative use' of noise in the film. As a background study, I will outline the private overview of noise music and noise sound of the futurists leading to Luigi Russolo, John Cage, and Pierre Schaeffer, and the meaning of noise treated from an aesthetic point of view. In addition, in order to demonstrate the aesthetic aspect of noise applied in the sound of modern movies, the sound of the movie <Under the Skin> is specifically analyzed and the relationship with the image is considered. Through the above discussion, this paper tries to newly illuminate the aesthetic meaning of 'noise' as a sound object in the field of movie sound.
THE EFFECT OF THE USE OF NUTRITION DISCS IN THE NUTRITION EDUCATION PROCESS ON MOTHER KNOWLEDGE AND THE CONSUMPTION PATTERN OF FRUIT AND VEGETABLES IN CHILDREN 5-9 YEARS OLD

One of the problems related to eating behavior is the lack of consumption of fruits and vegetables. Consumption of fruits and vegetables with a proportion of 1-2 servings/day was 67.16%, while fruit and vegetable consumption was 3-4 servings/day a week for the age group ≥5 years of 5.00%. This shows that the consumption of fruits and vegetables of the people of Hulu Sungai Utara Regency is still insufficient. The purpose of this study was to determine the effect of using nutritional discs in the nutrition education process on maternal knowledge and consumption patterns of fruits and vegetables for children aged 5-9 years in Mamar Village, Hulu Sungai Utara Regency. This type of research is an experiment with a pretest-posttest control group design. The study population was all mothers who had children aged 5-9 years in Mamar Village. Sampling using simple random sampling technique as many as 32 people. The grouping of sample members into two different treatment groups, namely the first treatment group using nutritional disc media and the second the control group using leaflet media. This study began with a pre-test for both groups, namely measuring the mother's level of knowledge using a questionnaire and assessing children's fruit and vegetable consumption patterns using the semi-quantitative FFQ form. Then carried out nutrition education. The following week a post-test was carried out. Data analysis used Paired Sample T-test and Wilcoxon Sign Rank Test. Based on the results of the study, it shows that there is an increase in the average knowledge of mothers and children's consumption patterns through nutrition discs media before and after nutrition education. There was an effect of nutrition education in the intervention group on maternal knowledge, indicating that the value of ρ was 0,000. And there was an effect of nutrition education in the intervention group on children's fruit and vegetable consumption patterns, indicating the value of ρ was 0.003. It is hoped that respondents can apply the knowledge that has been obtained after giving nutrition education using nutrition disc media.
Image Enhancement Based on Generative Adversarial Neural Network

In this paper, we present an image enhancement scheme based on generative adversarial neural network. We use deep learning to decompose the image to obtain the shadow layer and the reflection layer image, and then perform image enhancement for the shadow layer image. In addition to being faster than the traditional method, the method we proposed also achieves better results. In this way, the overexposed or dark parts of the picture can be repaired, and more complete picture information can be obtained. For the repair of the shadow layer, we use a neural network for algorithm simulation. The Generative Adversarial Neural Network makes the training and testing speed more accurate and faster by giving conditional restrictions.
CAT: Compression-Aware Training for bandwidth reduction

Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving visual processing tasks. One of the major obstacles hindering the ubiquitous use of CNNs for inference is their relatively high memory bandwidth requirements, which can be a main energy consumer and throughput bottleneck in hardware accelerators. Accordingly, an efficient feature map compression method can result in substantial performance gains. Inspired by quantization-aware training approaches, we propose a compression-aware training (CAT) method that involves training the model in a way that allows better compression of feature maps during inference. Our method trains the model to achieve low-entropy feature maps, which enables efficient compression at inference time using classical transform coding methods. CAT significantly improves the state-of-the-art results reported for quantization. For example, on ResNet-34 we achieve 73.1% accuracy (0.2% degradation from the baseline) with an average representation of only 1.79 bits per value. Reference implementation accompanies the paper at this https URL
Data-bearing halftone image alignment and assessment on 3D surface

An alignment approach for data-bearing halftone images, which are a visually pleasant alternative to barcodes, is proposed in this paper. In this paper, we address the alignment problem of data-bearing halftone images on a 3D surface. Different types of surfaces have been tested , using our proposed approach, and high accuracy results have been achieved. Additionally, we also develop a data retrieval tool from an aligned image, in order to decode the data embedded in the original image. A system to assess the accuracy of alignment is introduced to quantify the effectiveness of the proposed alignment approach.
Adjectival definiteness marking in Lithuanian – one more puzzle piece: Qualitative adjectives that could but do not take definite forms

This data-driven paper adds to the broader discussion on adjectival definiteness marking and, more specifically, definiteness marking in Lithuanian by providing some insights into why a large group of qualitative adjectives that could, in principle, derive definite (long) forms rarely do so in practice. This group of adjectives is not homogenous but could be divided into a number of rather clearly defined sub-groups, based on semantic-pragmatic factors or on functions performed in the NP/sentence. It will be argued that the inability to establish a category (both taxonomic or ad hoc), and hence to assume a morphological definiteness marker, occurs for two reasons: 1) a property denoted by the adjective does not meet the semantic-pragmatic requirements needed for the underlying category; 2) the adjective denotes not a property, but rather something else, e.g., quantification, possession, similarity, ordinal relations, specificity or similar.