Reviewerly/exHarmony huggingface dataset:
LEXICAL BORROWING IN MALAYSIAN ONLINE NEWSPAPER EDITORIALS: A CORPUS-BASED APPROACH

Lexical borrowing is words that have been transferred from the native language and integrated into a different language (Hamdi, 2017). Studies on newspaper editorials have drawn a large readership, yet it is not been given enough coverage in terms of borrowed words used by the editors in English language newspapers. This paper examined the types and frequencies of lexical borrowing. This paper used both qualitative and quantitative approaches. Haugen's (as cited in Annab, 2019) pioneering work of lexical borrowing was used in this research. Three forms of lexical borrowing, namely loanwords, compound blends, and loan transitions/claque were found. In this paper, four months of editorials from The Star Online were transferred into a text files by using Microsoft Word and imported into WordSmith Tool version 6 (henceforth WST 6) to generate the data. Results reflect that the highest frequency of lexical features identified was loanwords (84%), followed by compound blends (9%), and loan transitions (7.5%). The top three highest borrowed words used by editors were the words Pakatan, Datuk, and Barisan. Conclusively, as large amounts of borrowed words exist in English editorials, this phenomenon should be eliminated. This is because one of the ways to elevate Malaysian English (henceforth ME) to meet and sustain with the International level is to uphold the quality of the English language in newspapers. Besides, relevant stakeholders should work together to increase the quality of editorials as newspapers are part of authentic materials used in education.
Ekspress user comment dataset 1.0

This dataset is an archive of reader comments on the Ekspress Meedia news site from 2009-2019, containing approximately 31M comments, mostly in the Estonian language, with some in Russian.Description of the Datasets.There are 11 CSV files:comments_2009.csv contains 2 898 438 comments from the year 2009comments_2010.csv contains 2 377 591 comments from the year 2010comments_2011.csv contains 2 729 389 comments from the year 2011comments_2012.csv contains 3 372 776 comments from the year 2012comments_2013.csv contains 3 289 393 comments from the year 2013comments_2014.csv contains 3 195 502 comments from the year 2014comments_2015.csv contains 3 202 592 comments from the year 2015comments_2016.csv contains 2 848 624 comments from the year 2016comments_2017.csv contains 2 838 075 comments from the year 2017comments_2018.csv contains 3 194 597 comments from the year 2018comments_2019.csv contains 1 526 755 comments from the year 2019 MayIn sum: 3 1473 732 commentsColumns:comment_id (string) - the ID of the written commentarticle_id (string) - the ID of the article for which the comment was writtencreated_time (string) - the time and date of the commentsubject (string) - the title of the commentreply_to_comment_id (string) - the parent comments IDcontent (string) - the comment itselfis_anonymous (string) -1 if the comment was published anonymously0 if the comment was published by a registered useris_enabled (string) -1 if the comment was published (online)0 if it wasn’t publishedQuestionable field: not all have been manually moderatedNo additional information from the moderatorschannel_language (string) - the language of the channel: 'nat' for Estonian, 'rus' for Russiancreate_user_id (string) - the user ID of the commentator '0' for all blocked comments.moderated_by (string) - the ID of the moderator
Artificial neural network applications for data compression in video data transfer protocols

The article describes the current state of data transfer protocols and methods of image and video compression through the use of artificial neural networks, namely convolutional multilayer networks and deep structured learning. Based on recent publications, a comparative analysis of the performance of classical compression methods and methods based on neural networks was performed. The most effective are those compression methods which are based on decorrelation transforms, namely discrete cosine (JPEG standard) and wavelet (JPEG-2000 standard) transforms. The transform coefficients have a well-understood physical content of spatial frequencies and can be further quantized for a more optimal representation of components that are less important for human perception. The HEVC standard guarantees a more efficient image compression scheme that further takes advantage of the similarity of adjacent blocks and uses interpolation (intracoding). Based on the HEVC standard, the BPG (better portable graphics) format was developed to be used on the Internet as an alternative to JPEG, which is much more efficient than other standards. An overview of the current state of open standards, provided in the article, gives an explanation of what properties of neural networks can be applied to image compression. There are two approaches towards the compression using neural networks: in case of the first approach neural network is used as a part of an existing algorithm (hybrid coding), and in case of the second approach the neural network gives a concise representation of the data (compression network). The final conclusions were made as regards to the application of these algorithms in H.265 protocol (HEVC) and the possibility of creating a new protocol which is completely based on the neural network. Protocols using neural network show better results during image compression, but are currently hard to be subjected to standardization in order to obtain the expected result in case of different network architects. We may expect and predict an increase in the need for video transmission in the future, which will bump into the imitating nature of classical approaches. At the same time, the development of specialized processors for parallel data processing and implementation of neural networks is currently underway. These two factors indicate that neural networks must be embedded into the industrial data standards.
Penerapan Algoritma Regresi Linier Berganda dalam Mengestimasi Jumlah Perceraian di Pengadilan Agama Simalungun

The number of divorces each year continues to increase, including what is happening at the Simalungun Religious Court. Divorce by the male party is called divorce talak and that is done by the woman and is called divorce suicidal. There are many aspects that cause divorce every year. With the continuing increase in the divorce rate that is happening, employees who work must carry out their work as effectively as possible. This study aims to recommend estimating the number of divorces in the Simalungun religious court. Researchers use the method of applying data mining multiple linear regression algorithms. The source of this research data was obtained by means of interviews and direct observation to the secretariat in the Simalungun religious court
A Novel Technique to Remove Duplicacy from Cloud

Cloud Computing is one of the most emerging technology, which helped several organizations to save time, resources and money by adding convenience to the end users. This project deals with removing duplicate data on cloud to save storage. The continuous development of the information technology and the requirement to make the data available for anytime and anywhere purpose, makes it necessary to remove duplicate files form the storage area to maximise storage. After uploading a particular file, the system crosschecks the data, and it will keep it inside the user's bucket on cloud if the data is new. This proposed method is more secure and utilizes less resources of cloud. Otherwise, the system will not keep the data if it’s already there. The main concept of this technology is to reduce duplicate data as much as possible using Hashing technique.
The Legal Aspects of Forensic Science with Reference to Crime Scene Investigation

Since the 1970s, significant social, legal, and scientific changes in the criminal justice system and the forensic sciences have altered the silhouettes of the law-science interface. The forensic sciences have made dramatic scientific advances in criminal case processing. The legal system and forensic science aim to produce knowledge and find facts as the foundation for justice with the solitary purpose of assisting the court in its evidential task. Thus, it leads to the solicitation of knowledge and methodology of various disciplines of science to legal matters. The growing implication of science in crime investigation for inquiring, collection, preservation, and analysis of evidence for prosecuting an offender in the court has concreted an easier path for administering justice. The paper reviews the role of physical evidence in investigation process and criminal profiling and offers suggestions as to where we need to focus our efforts. Thus, the aim is to define a scientific and legal framework for effective administration of criminal justice system in India.
From “bugs” to exploratory exhibition design – transforming design flaws in users’ experiences

In this paper we explore the potentials in observing how users creatively explore or hack an exhibition design and transform or scale these "abnormalities" in the users microinteractions into new explorative exhibition designs.Can we apply this notion of observing exploring user interactions and transform these microinteraction into drivers for user experience based on strategies of emergent gameplay?If we acknowledge these findings from the design process as potential enablers of superior user experiences for the end-user, and not simply as 'bugs' and 'anomalies' to be avoided or 'patched', there is a potential for scaling, transferring, and transforming new insights into new design potentials.To this end, observing hacking and creative play in user interactions might lead to a new understanding of user experiences and how unintended microinteractions can transform into foundation user experiences in an exhibition design.
ORIENTAÇÃO À USUÁRIOS DO PROGRAMA DE MONITORAMENTO DA GLICEMIA CAPILAR EM UMA UNIDADE ESTRATÉGIA DA FAMÍLIA

Abstract Diabetes mellitus  (DM) isa disease characterized by high blood glucose levels, either by partial or total loss of insulinproduction,  a hormone that helps glucose enter cells for  energy generation. There are three types of DM: type 1 and 2 related to insulin disorders and gestational DM due to placental disorder. These metabolic misfits result in excess glucose,  hyperglycemia,  causing damage  to desajustes  health. Law No. 11,347 of September 27, 2006 provides the supply of medications and supplies necessary to control capillary glycemia by the Municipal Health Department (SMS). During the Supervised Internship of the 8th nursing  period of the Autonomous University Center of Brazil - UniBrasil,in a Family Health StrategyUnit (ESF) in Curitiba - PR it was observed that of the 288 enrolled in the BloodGlucose ControlProgram:  30% were without registration of the type of DM, 40% with delayed or uncollected glycated hemoglobintest,  1% do not reside in thearea of coverage of ESF and 3ohaddeath caused by COVID-19. In addition, there was a significant increase in the use of glycophytes, which generates an increase in its cujas     quota, which require justification of use,,  promoting discrepancy in the  number of tapes used and the amount provided  to users.. Surgand then  need guidance and update d andtheirdata   in the  Programin orderto keepthem  assistidand  rectifiedthem. That said, the general objective is to guide users of the capillary glucose monitoring program  regarding the proper use of inums. And as specific objectives: to present the ACCU-CHEK Application® Connect; update users' registration, exclusion of inactive and monitoring of those infected by COVID-19 and; list clients who had gestational diabetes who are no longer pregnant to return the glucometer. For this,  aplicada  the 6W3H methodology that is used inthe planning of activities ofa  project was applied and the results are under development, assuming that by October 10 100% of users are oriented and with  their registrations updated in the Program. It is up to the nurse scientific knowledge  o  about DM to perform   guidance correctly,making  the appropriate way to prevent diseases affected by the disease,,  which has no cure,  but control, and it is exactly the one that confers quality of life to the patient. Even in times of pandemic, in which these individuals are a risk group for severe infection by COVID-19, requiring a   nursing  care that is backin this context.
custom: Empirical Study of the Impact of Governance on Economic Structural Change: Evidence from Sub-Saharan African Countries

In this paper, we attempted to test whether the governance has a positive impact on the structural change in SSA or not. For the cause, we used the six indexes of the Institutional Quality namely Government Effectiveness, Rule of Law, Control of Corruption, Political Stability and Absence of Violence/Terrorism, Regulatory Quality, Voice of Accountability to see their impact on the structural change in SSA. We use 46 SSA countries from worldwide governance indicator of World Bank from 1996 to 2016 in a Generalized Method of Moment and Generalized Least Square regressions. The results show that only the Government Effectiveness is positively affecting the value added (proxy of structural change) of three sectors (agriculture, industry and service) of the SSA economies. Some affect positively one sector and negatively another sector, while the rest are insignificant for one sector and negative for other as example. Our results show that more efforts need to be done for the betterment of the institutional quality considering each sector’s particularity.
Novelty particle swarm optimisation for truss optimisation problems

Bilevel optimisation has been successfully applied to truss optimisation to consider topology and sizing in upper and lower levels, respectively. This study proposes novelty particle swarm optimisation for the upper level to discover new designs by maximising novelty. Our experimental investigations show that our approach outperforms current state-of-the-art methods and obtains multiple high-quality solutions.
Atomic grammar: a learning source of ESL error identification and correction / Nor Syamimi Iliani Che Hassan … [et al.]

Error analysis is deemed a fundamental component in language teaching which helps language learners to identify, understand and eventually correct language errors on their own. 40 ESL students took part in the study by producing two sets of 100-word composition. The researchers identified the grammatical errors in the essays before performing error analysis and error correction on the identified errors. The findings were utilized for the construction of Atomic Grammar, an online source of English language grammar lessons based on error identification and error correction. The website which is accessible via personal computers and smartphones stores a compilation of the common errors made by ESL learners in their compositions followed by detailed explanation which include the reasons and rules that formulate the correct use of English parts of speech. In short, Atomic Grammar offers benefits to both language learners and instructors at all levels of English language competency.
The Norwegian Scientific Data Network, a distributed electronic research infrastructure

&amp;lt;p&amp;gt;The Norwegian Scientific Data Network (NorDataNet) is a national e-infrastructure building on the legacy of the International Polar Year. Initially it is focusing on geoscience and establishing interoperability interfaces between existing national data repositories in the areas of discovery metadata and data as well as on harmonised data documentation following the FAIR guiding principles. The technical foundation of NorDataNet is built on data documentation standards, standardised interoperability interfaces and semantic resources. This is now in place and preliminary functionalities are available. These includes the ability to discover and access datasets across the data repositories integrated, as well as visualisation and transformation of datasets served using the requested documentation standards and interfaces. Bottlenecks and achievements while working towards FAIR compliant data and data centres interoperability will be presented.&amp;lt;/p&amp;gt;
Requirements Elicitation Techniques in Mobile Applications

The common view of requirements engineering consists of requirement elicitation, specification, validation, and evolution. Requirement elicitation is a significant stage to assure the quality of the requirement documentations and would affect the project success or failure. There are different techniques to elicit the requirements. Each technique has its advantages and disadvantages. Thus, it is important to adopt more than one kind of technique to describe a system clearly from different viewpoints. This study prospected some of the research papers in the same field to display the requirements elicitation techniques that are used in developing mobile applications from a variety of research disciplines. It suggests some requirements elicitation concepts to guide software engineers in selecting the techniques according to customers' needs and to show the common challenges that they face.
LibGuides: Arts & Humanities Resources: Music

This guide will connect undergraduates, graduate students, and faculty to the most iimportant resources in their Arts & Humanities disciplines
Seasonal Variation in Admissions of Bacterial Meningitis at a Tertiary Care Hospital: A Time Series Study using Wavelet Analysis

Background: Bacterial meningitis is one of the most feared infectious diseases, being an important cause of death and long-term neurological disability. Various studies have observed seasonality of occurrence of bacterial meningitis most commonly in dry and cold seasons. Studies of seasonal variation contribute to understanding the etiology of infections, health-care planning for prevention, and rational use of hospital resources. Objectives: The objectives of the study were to know the seasonal variations and trend in the admissions of community-acquired acute bacterial meningitis in Karnataka Institute of Medical Sciences (KIMS) Hospital. Methods: A time series analysis by compiling monthly data of bacterial meningitis cases admitted in KIMS, Hubli, from the reports of medical records department for a period of 5 years from January 2014 to December 2018. Results: The peaks for hospitalizations were predominantly in March–May and even the seasonality for aggregate years occurs as peak effect in summer. Hospitalizations for bacterial meningitis showed a periodicity of 3–4 months in each year along with cyclical trend over the years studied. Conclusion: This study found evidence of seasonality for bacterial meningitis, thereby suggesting that hospitals should be prepared for providing clinical services round the year; however, more resources may be required during the peak months of March–May. Key words: Bacterial meningitis, seasonal variation, tertiary care hospital, time series analysis, wavelet transform
Effect of Strategic Management on Organisational Learning: Evidence from the Banking Sector in Nigeria

The study examines strategic management dimensions on Organisational learning in the banking sector with the aim of establishing the most significant construct driving organizational learning.The study is premised on the strategic implementation and strategic analysis dimensions of strategic management.The survey research design was employed in the study.400 bank employees were surveyed through questionnaires.Data were analyzed using the regression.The result reveals that the elements of strategic management (β=0.788,R2= 0.621, F=56.733, p=0.000) combined have a significant effect on organizational learning.The study also established that strategic implementation is the most significant driver of organizational learning in the banking sector.The study was carried out in the banking sector.It is expected that the outcome may vary if such study is carried out in other industry and climate.The study shows that organisations especially those in the banking sector should place more attention to the implementation of their strategic goals as they continually analyse their internal and external environment as this will drive them to better performance.They should align their strategies with the dynamic environment in order to achieve their corporate goals.The study addresses the issue of strategic management as it drives organizational learning.
Correlation between cognitive load, vividness and cyber sickness for 360-degree education video

This study attempted to investigate cognitive load, vividness, and cybersickness in nursing students, in the last year of nursing college, who used a 360-degree video content for studying intravenous fluid infusion, one of the core fundamental nursing skills. The aim was to determine the correlation between the variables, and to decide whether the 360-degree video content can be used as an effective supplementary educational material in the regular curricula. This study, a descriptive research, was conducted from October 31, 2019 to November 14, 2019. The participants in this study were 64 students in the 4th year of nursing college at a university located in B City, South Korea. They were instructed to watch a 360-degree video content for intravenous infusion using a Samsung Head Mounted Display (HMD) while ensuring the safety of the students. The results showed that the scores, out of 7 points, for material design, self-evaluation, and physical effort for cognitive load in nursing students were 5.93±0.71, 5.92±0.71, and 5.64±0.74 points, respectively. In addition, the scores, out of 7 points, for mental effort and task difficulty were 2.55±1.08 and 1.94±0.75 points, respectively, and the scores for vividness and cybersickness in the participants were 5.82±0.84, and 2.57±0.98 points, respectively. Physical effort, self-evaluation, and material design for cognitive load in the participants were positively correlated with vividness (r=.379, r=.458, r=.507). In addition, mental effort for cognitive load was positively correlated with cybersickness (r=.684), whereas self-evaluation and material design were negatively correlated with cybersickness (r=-.388, r=-.343). Based on the results of this study, we believe that the 360-degree video content for intravenous fluid infusion can be used as an educational medium in regular and non-regular curricula. In addition, future studies are needed to specifically develop and verify teaching and learning methods on how to apply 360-degree video contents..
Blueprint : LavQuisto ENTERPRISE / Nur Ain Natasya Ab Rauf

The name of the company is LavQuisto ENTERPRISE. The idea of getting this name of the company comes from the combination of lavender and mosquito since this repellent mosquito consists of lavender scent.LavQuisto ENTERPRISE located at 2-07-01 Bangi Sentral, Jalan Medan Pusat Bandar 8A, Seksyen 9, 43650 6AB, Selangor. The reason of choosing this place as our main location is because the existence of business environment there.All the LavQuisto ENTERPRISE’s partners have agreed that our business will begin to operate on the 1st January 2021. Our target is to facilitate all users to live more comfortable and convenient.While there are many retail shops around our shop, LavQuisto ENTERPRISE, we are confident that many people will visit and use our service as we provide a product that will make easier work for users. Furthermore, this business also provides an affordable price and follows customer’s satisfaction and needs. LavQuisto ENTERPRISE also allow customer to return the product if it is not satisfied. We also give complete information about our product and immediately respond to the customers in social media