Reviewerly/exHarmony huggingface dataset:
SISTEM INFORMASI AKUNTANSI PERTANGGUNGJAWABAN SEBAGAI ALAT BANTU DALAM PENILAIAN KINERJA MANAJEMEN PADA PT. PERKEBUNAN NUSANTARA III MEDAN

This research aims to analyze the accounting information responsibility system as a helping tool in the assessment of management performance in PT. Perkebunan Nusantara III Medan and to know wheter it has been useful for as a helping tool of management in the assessment of performance of cost center in PT. Perkebunan Nusantara III Medan. This research uses qualitative and secondary data. Qualitative data in question is the data in explanation form or description obtained from the quality of the object under study, while secondary data is a data obtained in the form that has been formed of Analysis of Work Plan Company Budget (RKAP) compare with the realization for 2013. This research is in the form of descriptive and deductive method. This method is done by collecting budget data and budget realization production which is then classified, interpreted, and analyzed to obtain an overview of the problems encountered in the object of research. While the deductive method is done by analyzing the data obtained and the object research by comparing the conceptual applicable general, so that can be drawn conclusions and given suggestions based on the research results. Based on the results of the study, the conclusion that Information Accounting Responsibility System as a helping tool of management in assessing the performance of the cost center in PT. Perkebunan Nusantara III Medan has shown its role formly and has been useful as a helping tool in the assessment of management performance cost
Trash E-Gone / Nur Qursya Mohd Noor Salizan

Our company has a new product to introduce to consumers which is the smart waste bin named Trash E-Gone. Our company is targeting to supply a high technology waste bin when there is no suitable method to manage the waste disposal activities. Apart from that, a foul smell from the rotten wastes that remain untreated for a long time may cause disturbance to the surroundings and lead to long-term problems. Trash E-Gone is a specialized waste bin that are environmental-friendly. The technologies invented such as to produce waste bin with a solar powered attached on the lid as solar power will generate light energy received from the sun to minimize the waste in the waste bin by decomposing the waste to 50% lesser. Trash E-Gone are also consist of a compressor in order to squash or compress the solid waste that tend to maximized the space in the bins. Moreover, Trash E-Gone are covered with activated carbon fillers to eliminate or reduce the stinky smell and the presence of automatic disinfectants spray to eliminate microbial pathogens. The overall marketing strategy will be included in specific marketing philosophy and strategy of the company. Firstly, our target market would be trading company in Malaysia especially within Selangor area. The next target customers are individual customers or direct buyer specifically lived in Kota Damansara, Petaling Jaya areas or within Selangor. The objective of this products is to promote the trend of environmental-friendly product to preserve our environment. It comprises varieties of goods and services, which engaged the surrounding area with minimum or no harm to the environment. In the other words, eco-friendly product gives a positive impact to our environment and future generation.
A comparative study of students' perception on knowledge acquisition during diploma studies / Azfarhanna Azwan, Nur Aqilah Md Miswan and Aina Syuhada Kamal Azman

This study will focus on the knowledge obtain during diploma studies when they proceed to their degree studies that should be performed efficiently by the students. This investigation presents a contention on the utilization of ordinal qualities in a Likert Scale that speaks to the linguistic tenns of the dimension of perception of the Degree in Statistics students that graduates from Diploma in Statistics towards their continuation in degree. The main aim of this section is to present a study on the students' perception of knowledge acquisition during diploma studies using a fuzzy approach. In analyzing the Likert Scale researcher usually use mean or a percentage to evaluate students' perception. The problems are mean usually is affected by extreme values, extreme values can present a wrong picture or distort the results. The percentage method is usually biased because in percentage it measures the average tendency of the simulated values to be larger or smaller than their observed ones. Developing a questionnaire in order to collect the respondent. Obtaining answers from the series of questions that have been made. The target population for our data is the Degree in Statistics students that are doing their final year project who take a Diploma in Statistics during their diploma studies. The benefits of this study are to get a consistent evaluation of students' perception of knowledge acquisition during their diploma studies using fuzzy approach method.
Sign Language recognition system using Convolutional Neural Networks

Communication is key to share and express ideas and thoughts. And not every person has the natural ability to communicate. Mute people communicate with each other and with rest of the people through sign language. Sign language is the way of communication using gestures with hands where each gesture corresponds to particular letter in an alphabet or a word. But to use this every person must have the knowledge of it. But in the real world, it is not the case. With the advancement in the field of deep learning it is possible to solve this problem with low cost. So, this project aims at making it easier for mute people to communicate to the rest of the world. In this project, image of the hand gesture made by the person is captured and is translated to its corresponding meaning in the American sign language system. Equipment such as hand gloves sensor is one of the methods used for sign language detection. But it is expensive and not all of the people in need of it would be able to afford it. A deep learning algorithm called convolutional neural network is used for identifying the gestures and giving the actual letter or word.
Are We Forgetting about Compositional Optimisers in Bayesian Optimisation

Bayesian optimisation presents a sample-efficient methodology for global optimisation. Within this framework, a crucial performance-determining subroutine is the maximisation of the acquisition function, a task complicated by the fact that acquisition functions tend to be non-convex and thus nontrivial to optimise. In this paper, we undertake a comprehensive empirical study of approaches to maximise the acquisition function. Additionally, by deriving novel, yet mathematically equivalent, compositional forms for popular acquisition functions, we recast the maximisation task as a compositional optimisation problem, allowing us to benefit from the extensive literature in this field. We highlight the empirical advantages of the compositional approach to acquisition function maximisation across 3958 individual experiments comprising synthetic optimisation tasks as well as tasks from Bayesmark. Given the generality of the acquisition function maximisation subroutine, we posit that the adoption of compositional optimisers has the potential to yield performance improvements across all domains in which Bayesian optimisation is currently being applied.
Why consistency matters in preserving the rules-based order

Since the end of the Cold War, the United States has set the direction for inter-state relations through the establishment of the rules-based order. This very order can be generally believed to draw from the institutions, conventions, and norms centred on the United Nations. However, the brewing power competition between the US and China banks on either preserving or revising this order. Interestingly, the US, its allies, and its strategic partners regard themselves as the protectors of these rules, while China is often seen as a revisionist bent on altering the status-quo. However, there have been issues even among certain major democracies regarding their own adherence and interpretation of these very rules. This paper seeks to highlight the vulnerabilities of the rules-based order, which considerably compromise its legitimacy and enforcement by major democracies. Two isolated but pressing cases have been presented to demonstrate how three particular democracies: India, the US, and the United Kingdom seem to have varied interpretations of certain aspects of the rules-based order. This inconsistency will have significant implications on their roles as responsible stakeholders of the established order, which, in turn, may provide revisionist states an opportunity for exploitation.
Sobre inteligencia emocional : entrenamiento en habilidades intrapersonales e interpersonales en grado segundo

Emotional Intelligence represents the ability of individuals to recognize, express and control their emotions in an appropriate way, in order to guide behavior towards an optimal feeling of well-being. Therefore, the present dissertation seeks to carry out a training program in Emotional Intelligence, aimed to the promotion and optimization of the different processes involved in the intrapersonal and interpersonal components of EI, in second grade students of the Colegio Integrado La Candelaria of Bogota. The dissertation follows the modality of systematization of the internship carried out in the school. A mixed methodology was applied through a quantitative survey and two qualitative semi-structured interviews. The training program arises from the need to recognize the role that emotions play in the lives of students, taking into account that we are currently going through the Covid-19 pandemic, which has increased collective anxiety and anguish.
Research Guides: Music Technology: CCC Library Catalog

Learn about resources selected for students in Music Technology classes including peer-reviewed articles, eBooks, citation help and more!
Blockchain Technology: A Panacea for Medical Distribution Ailments

Today, the world is going through one of the most treacherous and ubiquitous pandemics of modern times. Lives, work, and health of people have been disturbed in innumerable ways, and healthcare industry and systems are fronting the ultimate test. Pandemic COVID-19 has manifested the limitations in the production and distribution of critical medical goods and also brought into spotlight the issues that arise due to the dependency of countries on foreign supply. Until recent times, solutions with respect to comprehensive accounting and tracing products and services were remote possibilities. Present pandemic crises exposed many limitations and shortcomings in certain methods and processes across all industries. The desperate requirement for better quality pharmaceutical and healthcare supply chain management and tracing systems has become a need of an hour. In recent times, most of the medical and pharmaceutical supply chains are facing substantial logistical complexities with respect to different domains including lack of visibility into real-time shipment locations, unpredictive weather and other transport interventions, quality of goods, verification, tracking and tracing, report of customs across country borders, and intricate payments and invoicing. However, we are now slowly approaching toward a kind of technologies that could overhaul methods and prove to be a turning point. These technological innovations could assist us in faster manufacture of and access to critical medicine, leading us toward transparent and more secure healthier coming years. Blockchain is a unique and perfectly suited technology to address these stumbling blocks. Blockchain will play a pivotal role in enabling companies to build blockchain solutions seamlessly given its preparedness and cost viability. A blockchain-enabled supply chain shall accurately, transparently, and effectively track and trace each step of every SKU (stock keeping unit). This chapter is a sincere effort to understand the usability of blockchain technology in medical supply chain and to explore the domains where this technology can bring revolution along with its merits and shortcomings.
AVC COMO COMPLICAÇÃO DA INFECÇÃO POR COVID - 19

The coronavirus disease, caused by the new coronavirus, more contagious than it´s predecessors, has relations with the cerebrovascular accident. The stroke continues to be a medical emergency and evidences show that the infection by COVID-19 is a risc factor. The present article intend to determinate how the COVID-19 can influenciate in a stroke. The studies used in this article were found at PubMed and SciELO databases in English, Portuguese and Spanish, in the year of 2020, with the keywords “COVID-19”, “stroke”, “neurology” and “SARS-CoV-2”.
Boosting English Majors’ Ability in Pronouncing Stressed Vowels via Blue Canoe, a Mobile-based Application: A Focus on Vietnamese EFL Learners

There is no doubt that teaching and learning English pronunciation is one of the major concerns facing EFL/ESL educators and experts. Specifically, stressed vowel practice instruction has been considered a massive challenge among Vietnamese teachers because these two languages possess certain distinctive features in phonetics. This new digital age indicates that mobile-based applications have actively promoted EFL/ESL learners’ sound production. Thus, this paper pinpointed how digital apps affected learning vowels among English learners and discussed their attitudes towards the apps with the help of 32 first-year students majoring in English at Van Lang University, Ho Chi Minh City. A pre-test and post-test were used to see if there was a significant distinction in the participants’ ability to acquire vowel sounds. In addition, a five-point Likert scale questionnaire was employed to test how content they were when they used the app. The results show that with mean scores of 6.88 and 11.177 in the pre-test and post-test, respectively, students in the experimental group improved than their counterparts in the other group (M=6.0 in the pre-test and 8.47 in the post-test). Hence, an explanation for the better performance in the intervened group is that the participants practiced pronouncing vowels with the application Blue Canoe during the course. In addition, these participants also had a favorable attitude towards the mobile-based application in their phonetics class, with a mean score of 3.96 on the questionnaire.
A Survey on Sign Language ATM For The Blind

The blind population often face difficulties in accessing ATM machines to withdraw money, which forces them to visit the bank. This makes them lose their time, thus causing them inconvenience. In order to overcome this issue, most of the ATM keypads offer Braille embossed keys with an intention to guide a blind individual to access the system. Though proven to be useful, the blind people with no knowledge of Braille fail to access these systems independently. Thus, to overcome this issue, other ways to access the ATM machines must be explored. One way out is to utilise Sign Language gestures to interact with the system in an environment that is secure. The survey on different methods proposed to recognise the sign language is conducted in this paper.
Mannose Binding Lectin Levels Was Not Associated with Resistance to Tuberculosis Infection in the Population of Uyo Metropolis in Nigeria

Mannose-binding lectin (MBL2) is an important pattern recognition molecule that identifies and binds to specific sugar molecules on the surface of pathogens thereby activating its destruction by the immune system.Samples for study were recruited from Uyo metropolis of Akwa Ibom state in Nigeria.In this study, levels of MBL2 was measured by enzyme-linked immunosorbent assay in tuberculosis patients and healthy individuals to determine if the immune protein protects against tuberculosis infection.MBL2 levels in tuberculosis patients and healthy controls were 14.0ng/ml ± 13.9 and 19.9ng/ml ± 18.5 respectively.The results from the study showed that there was no association in MBL2 levels between tuberculosis and controls (p=0.107)as well as between the different sub-groups.Therefore, MBL2 is not a contributory factor in resistance against tuberculosis in the population under study.
NUEVAS TECNOLOGÍAS Y RETOS PARA LA PROTECCIÓN DE DATOS PERSONALES EN EUROPA: El rastreo de contactos durante la pandemia por covid-19

We are living through a process of digitalisation that has been accelerated not only by the numerous technological advances of recent years, but also by the events related to the COVID-19 pandemic we are experiencing worldwide, which have forced us to maintain social distancing measures to combat the virus. But as in any pandemic or infectious disease control, beyond social distancing and other hygienic-sanitary measures, it is necessary to identify and trace cases of people infected by coronavirus, to know their contacts and isolate them in order to stop the spread of the virus. These measures generally involve the disclosure of such sensitive health-related data and, therefore, a clear interference in the private lives of citizens. The question is whether or not such interference is justified and legitimate. This article is concerned with answering this question, analysing whether the tracking measures comply with the necessary principles for processing personal data, and whether the processing that involves the identification of infected persons and their contacts has a legitimate basis that justifies it.
Proof-of-Principle Frequency-Bin Quantum Key Distribution with Biphoton Frequency Combs

We offer a proof-of-principle photon-efficient QKD protocol based on energy-time entangled biphoton frequency combs using entangled frequency-bin pairs as qudits.
Automatic Geminate Insertion Algorithm for Japanese Audio Data

Generally, it is quite difficult for Japanese language learners to acquire Japanese special morae, namely, geminate, syllabic nasals and long vowels compared to independent morae. Among these three special morae, geminate is particularly difficult, and it takes much longer to fully acquire both production and perception of it. Especially for learners of Chinese native speakers, previous studies has shown that both production and perception of geminate are difficult in terms of the fact that not only no geminate is found in Chinese language, but also the phonological interaction between Japanese accent and Chinese tones. However, in the field of Japanese speech acquisition, research has not making progress because of a major problem, that is, researchers themselves manually create the acoustic experiment stimuli. Therefore, in this study, as a method to solve this problem, we propose an algorithm that automatically inserts geminate into the audio data used in Japanese speech acquisition research. This algorithm automates the insertion of geminate by performing three processes in order: mora extraction by noise removal, matching of original audio data and extracted mora, and insertion of soundless duration and geminate. The algorithm makes it possible to remove the noise, which is -50 dBFS and continues for 10ms or more, and replace it with soundless duration instead, allowing Japanese native speakers to percept it as geminate. The accuracy was equivalent as a result of comparing the data that was manually modified by a phonology researcher with the data that was generated by the algorithm. The result shows that the algorithm can be a practical solution for the automation of geminate insertion.
‘Read To Me’ / Nurul Nadhirah Ramli

When dealing with daily routines, some may experience difficulties in wanting to just seating down and read. They might need to be focus on reading and stop doing other works. Physical books may required all of their attentions in just reading. Thus the creation of audiobook.The “Read to Me” help to in helping people to listen to their favourite books while doing other activities. For instance, this audiobook can be play while cooking which are most suitable for those that are started to learn cooking. It will read all the steps and recipes while they are preparing and cooking. Other than that, this audiobook can also be play while exercising, driving or house cleaning.Beside that, young reader or people that are trying to learn to read will get benefit from this audiobook. It is well know that audiobook can help with learning, thus the “Read to Me” will able to assist them in learning new words and the pronunciation while seeing the whole texts in the physical book. They can see the spelling of certain words with how to properly pronounce it. Thus through the purpose of educating, this audiobook can be a big help to the community.Beside that, while hearing to others’ reading, it can also become a therapeutic session. Such as hearing a soothing voice reciting a story to the listener can let them to visualize the story and deepening the understanding even better. With this purpose, listener can enjoy themselves even better.
MODEL PEMBELAJARAN DAS PADA MATERI BERPIDATO DENGAN MENGGUNAKAN BAHASA INGGRIS SISWA DI KELAS IX MADRASAH TSANAWIYAH NEGERI BINJAI

This study aims to find out the DAS learning model (Listen, Observe, Convey) on speaking material using English can improve students' English learning outcomes in class IX of MTsN Binjai odd semester of the 2019/2020 school year. This research consists of two cycles. The results showed that the DAS (Listen, Observe, Convey) learning model on speaking materials using English could improve English learning outcomes and student activities in class IX of MTsN Binjai in the odd semester of the 2019/2020 school year. This can be seen from the results of the calculation in the first cycle between the test scores of the first block and the test scores of the second block, the correlation of the moment r arithmetic products is 0.846, and the t-test value is 8.983, and in the second cycle between the third block test scores and the fourth block test scores. The product correlation of moment r count is 0.925, and the t test value is 13,808, while all the calculated r values are greater than the r table of 0.478, also the t count is greater than the t table test of 2.725, and can also be seen from the results of student attendance in the first cycle the attendance was around 90%, and in the second cycle the attendance was around 95%, and increased to 100%. Keywords: Learning Model, Watershed, Speech
A Lingüística de Corpus e as súas aplicacións na Fraseoloxía: un panorama de pescudas desenvolvidas na Universidade de São Paulo

galegoEste artigo, como xa esclarece o seu titulo, pretende presentar un panorama das pescudas que engloban a Linguistica de Corpus desenvolvidas na Universidade de Sao Paulo, baixo a mina orientacion. Logo dunha breve introducion sobre esa metodoloxia, analizo os traballos realizados nas areas de Ensino e Aprendizaxe, e Traducion, incluindo ai a terminoloxia bilingue, a traducion literaria e a traducion audiovisual. Na maioria delas o foco e a fraseoloxia, xa sexa para a confeccion de glosarios ou para o ensino de colocacions. Tamen se presenta o Proxecto CoMET, composto por tres corpus: o CorTec (Corpus Tecnico), o CorTrad (Corpus de Traducions) e o CoMAprend (Corpus de Aprendices). O artigo conclue con comentarios sobre outras aplicacions da Linguistica de Corpus. EnglishThis article, as the title already makes it clear, aims to present an overview of research involving Corpus Linguistics, developed at the University of Sao Paulo under my supervision. Following a brief introduction to this methodology, I discuss the research carried out in the fields of Translation, including bilingual terminology, literary translation and audiovisual translation, and Teaching and Learning. In most of these areas the focus is on phraseology, either for the building of glossaries or for the teaching of collocations. We also introduce the CoMET Project, composed of three corpora: CorTec (Technical Corpus), CorTrad (Corpus os Translations) and CoMAprend (Learner Corpus). The article concluces with comments on further applications of Corpus Linguistics.