Reviewerly/exHarmony huggingface dataset:
Written Language Error Analysis In Level 2B BIPA Students Of Wisma Bahasa Yogyakarta

Written language errors can occur in BIPA learning due to several factors: studentsâ€™ low grammar mastery, lack of understanding in word meaning, lack of competence in sentence forming linguistic units in Indonesian language, and influence of mother-tongue/native language in the use of Indonesian language. This research aims to describe the form of diction error, affixation, punctuation, and sentence structure in sentences written by BIPA level 2B students in Wisma Bahasa Yogyakarta. Based on 224 sentences on the questionnaire, there are 50 sentences with 80 language errors made by students. The most common language error is the use of particles in the aspect of diction, comprising 61.25%. Diction error include errors in verbs, nouns, adjectives, adverbs, numerals, particles, and clitics. In affixation section, the errors consist of 6.25% of the total errors, including prefix, suffix, and confix. Punctuation error occurs 20%, include errors in dot and comma use. Sentence structure errors cover as much as 12.5%, including subjects, predicates, and adverbs. The present study is expected to be beneficial to enrich the learnersâ€™ knowledge of morphology and syntax in BIPA learning level 2B in Wisma Bahasa Yogyakarta or at another BIPA institution. Furthermore, BIPA teachers can also take into account learning materials that potentially contain possible language errors to anticipate more language errors and sentence ineffectiveness.
PSYCHOLOGICAL FACTORS OF CHANGING THE PROFESSIONAL ORIENTATION OF THE PERSONALITY IN ADULTS

The article is devoted to the study of the specifics of professional orientation of the personality and the analysis of psychological factors that affect its change in the period of 30-36 years. The characteristic of this age period is given and the causesof disharmonies in the inner world of the personality are revealed, as well as their connection with the nature of the interaction of the vectors ideals-senses-values is explained and illustrated. It is noted that the divergence of ideals, senses and values predetermines uncertainty in the direction of professional self-realization, provokes an internal personal conflict, a certain dissonance, which we can call spiritual and professional dissonance. The essence of the concept of spiritual and professional dissonance of the personality is outlined and the stages of psychological assistance to the client in the process of working on his value-semantic sphere are revealed. The given material is summarized and promising directions of future research within the framework of the topic under study are revealed
Development of Creativity based Literation Management Model in Junior High Schools (SMPN) Payakumbuh City

This research paper was written against the background that the implementation of literacy activities at Payakumbuh City has not been running effectively and efficiently. Several technical and practical problems faced by school principals. The habit of reading 15 minutes at school has not been implemented well, because there is no literacy management model. For this reason, the authors have developed a creativity-based literacy management model as a solution to existing problems. This research and development design uses the Borg and Gall model which consists of ten stages which are constructed into four steps, i.e; preliminary studies, development, field testing and dissemination. The research subjects were the principal of junior high schools, Indonesian language teachers and library managers in Payakumbuh City. Data were collected through interviews, observations, questionnaires, and validation sheets. Quantitative data were processed using SPSS 20 and reduced qualitative data as suggested by Mattew and Huberman. The model validity obtained a mean of 4.53 with a very valid interpretation. The practicality level of the product was obtained by an average of 4.13 with 83.09%, which means that the literacy management model developed is practically used. Meanwhile, the effectiveness test reached 85.19 which means effective. Furthermore, the difference between the pre-test and post-test results obtained 32.13 points, this means that there is an increase in the principal's ability to manage management.
Enhancing Robustness of Neural Networks through Fourier Stabilization

Despite the considerable success of neural networks in security settings such as malware detection, such models have proved vulnerable to evasion attacks, in which attackers make slight changes to inputs (e.g., malware) to bypass detection. We propose a novel approach, \emph{Fourier stabilization}, for designing evasion-robust neural networks with binary inputs. This approach, which is complementary to other forms of defense, replaces the weights of individual neurons with robust analogs derived using Fourier analytic tools. The choice of which neurons to stabilize in a neural network is then a combinatorial optimization problem, and we propose several methods for approximately solving it. We provide a formal bound on the per-neuron drop in accuracy due to Fourier stabilization, and experimentally demonstrate the effectiveness of the proposed approach in boosting robustness of neural networks in several detection settings. Moreover, we show that our approach effectively composes with adversarial training.
A Novel Multikernel Convolutional Neural Network Classification For Pedestrian Detection In Crowded Scenes

Pedestrian detection is a basic challenge in image processing, and there are many practical applications in the fields of robotics, video surveillance, autonomous driving, and vehicle safety. However, this is still a daunting problem due to the huge differences in lighting, clothing, color, size, and posture. A pedestrian detection method based on MKCNN (Multi-kernel Convolutional Neural Network) classifier is implemented in this paper. High accuracy is achieved by automatically optimizing the feature representation of neural network recognition and regularization problems. We evaluated the proposed method in a complex database that includes pedestrians in an urban environment without being restricted by posture, motion, background, and lighting. Experiments using the pedestrian data set of the California Institute of Technology show that the use of MKCNN can improve detection accuracy. Using the CNN model, our pedestrian detection method provides a higher detection performance for the Caltech dataset.
LibGuides: Audio Visual Support: Adapters

See what the Innovation Commons has available to borrow to support digital learning and teaching.
Employee Turnover Intention and Job Satisfaction

Today it became a huge challenge for Human Resource Managers to retain the employees forlonger time of period and decrease the rate of employee turnover. The main research objective is to find outthe correlation between job satisfaction and employee turnover intention in private hospital in Erbil. Aquantitative method was used to analyze the current study. 144 participants were involved in this study fromprivate hospital in Erbil. The correlation between job satisfaction factor as independent factor and turnoveras dependent factor, the value of R for the Job satisfaction is =.386** which indicates that turnover is apositive and weak correlation with turnover intention. The coefficients analysis for this study, the value Betafor turnover is = .386> 0.01, which supported the research hypothesis. This study showed that the there is apositive correlation between job satisfaction and employee turnover. Finally, on the turnover intentions ofprivate hospital personnel in Erbil, most of them would quit in case if they have a better opportunities.
LibGuides: TeenSpace: Book Blog Staff

Your guide to all things teen at the Huntington Beach Public Library! Meet the current teen contributors of the HB Teens Book Blog!
Tokenization of educational assets based on blockchain technologies

Possible scenarios for using blockchain technology in the field of education are considered. Methods and technologies of tokenization of assets, related to the educational process, are investigated. It is concluded, that the blockchain technology is decentralized and transparent with a high degree of reliability, which ensures the equality of all users of the chain's services. The transparency of the technology guarantees the participants in the process against abuse and forgery of documents. The study of the features of smart contracts made it possible to form the advantages of smart contracts in the field of education. This is, first of all, the conclusion of agreements without the participation of third parties, as well as the security and confidentiality of agreements. This ensures that the terms and subject of the agreement are kept secret, and that no one else can amend the agreement. At the same time, storing the contract in encrypted form ensures its confidentiality. A decrease in the cost of operations was noted. Tokenization of educational assets is considered on the example of preparing and defending a thesis with the subsequent registration of a diploma. The processes of passing the thesis in the context of using blockchain technology and issuing smart contracts are considered in detail. The advantages of using blockchain technology and smart contracts are illustrated with specific examples.&#x0D; A study of the means and mechanisms for ensuring the confirmation of the authenticity of educational documents, the confidentiality of students' personal cards, and student identification has been carried out.&#x0D; To create a decentralized distributed ledger for tokenization of educational assets, it is proposed to use blockchain technology and smart contracts based on the Ethereum platform
An Analysis of the Role of IPR Regime in Combating COVID-19 Pandemic

Protection of Intellectual Property is a key which fosters innovation and without protection of ideas, businesses and researchers would not get ROI on their inventions which we cannot afford during this pandemic. This article provides a brief view about the role of IPR in combating COVID-19 Pandemic and Role of IPR Legislations in India. It discusses cruciality of Protecting IP Regime in COVID-19. The article highlights how IP regimes have come up with innovative as well as pragmatic solutions to mitigate the critical situation created by the outbreak of the COVID-19 pandemic.
Solving Combinatorial Optimization Problems on a D-Wave Quantum Annealer and Development of Higher Level Hardware Abstraction Layers

An approach to solve combinatorial optimization problems on a D-Wave Quantum Annealer while using a self-developed software framework.
INTRINSIC AND EXTRINSIC MOTIVATION IN LEARNING ENGLISH

This is a literary study about motivation in learning English which are divided into two types; intrinsic and extrinsic. This study is trying to figure out what kind of motivation gives more contribution in the success of learning a language, in this case is learning English language. In the study, the writer collects data from books, journals, articles about learning motivation from two libraries, Provinsi Aceh Library and Syiah Kuala University Library. The writer also browses and downloads journals, articles, online books and research reports from internet to support this literary study. After that the writer presents a discussion to analyze and concludes what kind of motivation among learners is best influential in English learning. Based on many literature and sources, the writer finally draws a conclusion that from the two types of motivation, both are equally influential in English learning. The thing is that Intrinsic motivation is mostly found among learners who have higher achievement in English skill, whereas the extrinsic one is mostly found among learners who have just begun to learn. It is expected that English teacher can have a fully understanding about types of motivation, especially the extrinsic one in order to help them cope with the less-motivated students which can be implemented into their teaching strategies and materials, so as the curriculum target can be fully achieved.
LibGuides: Test Preparation Materials: Test Taking Strategies

A guide to the test preparation materials available in the OHS Library, Frederick County Public Libraries, and online.
A Critical Analysis of Conversational Floors In Post- Corona Digital Discourse Among Pakistani Students

This study investigates the pattern of conversational floors of digital discourse in WhatsApp groups among Pakistan's students after the outbreak of Covid-19. Gender differences were also focused while generating digital discourse in the post corona scenario. Non-probability sampling techniques are used, as our research design is qualitative. Data is taken from universities of Punjab and is in the form of interviews and screenshots of students' five days chat in Whatsapp groups. Researchers chiefly focused on conversational floors, gender roles, and post corona discourse. Results show the effects of Covid-19 as students have problems involving in more meaningful conversations, and due to conflicts among members, a breakdown in communication occurs. The connection between argumentation and floor holding gives a deep analysis of the dynamics of online discussion. From the gender perspective, males maintained the central stage in noncollaborative discourse while there are almost equal or more active females in collaborative discourse.
The issue of dactyloscopy in terms of police activities

Fingerprints have been known since the dawn of time and as early as in the Stone Age they were used to sign agreements and deeds. Dactyloscopy – a field of criminology – arose and developed thanks to technological progress. Fingerprints accompany human beings throughout their entire lives, from their early beginnings in their mothers’ wombs to their death. They cannot be changed or removed without damaging the dermis of fingers. Lines which can be observed on the fingertips make systematic patterns. People leave dactyloscopic traces on a daily basis. It is the consequence of a special reaction of the substance which includes both sweat and fat. This substance comes off the fingertip and leaves traces. Fingerprints traces can be disclosed with the use of different methods. The spectrum of these methods is very wide. It was reflected and indicated in the content of this publication. Procedures play a very important role in the work of dactyloscopy technicians. They have an incredible impact on the success of the entire process of people’s identification with the use of fingerprints which were left. Implementation of established algorithms is crucial with regard to the possibility to collecting all the evidentiary material effectively. Identification and comparison of fingerprints traces constitute very important elements in the work of law enforcement authorities. Automated Fingerprint Identification System (AFIS) facilitates this processing. AFIS is in the possession of a huge database allowing for an identification of fingerprints in a shorter time. Without that tool, it would be difficult or even impossible to compare different fingerprints. The authors show the development of methods, techniques and research instruments which are used in the identification process. The development of modern technologies combined with achievements in biology or chemistry will cause further, perpetual evolution in the researched field.
LibGuides: Reading Central : Reading Central Homepage

This page contains links to reading activities, resources and links. Fun and Frivolous or serious, searching, and smart.
Mining Of Customer Review Feedback Using Sentiment Analysis For Smart Phone Product

With the fast growth of e-commerce, large number of products is sold online, and a lot more people are purchasing products online. People also give feedback of product purchased in form of reviews. The user generated reviews for products and services are largely available on internet. To extract the valuable understanding, classification of reviews is required from a huge set of feedback which has converted into positive and negative sentiments. The process of Sentiment Analysis (SA) has mined the attitude, opinions and emotions spontaneously from text, speech and database via Natural Language Process (NLP).It contains feedback review about product, product features or some sentiment emotional views on the product given by the customer. In this research work, feedback from the customer which associated with smart phones is taken from Amazon.com in order to predict the rating of the product given by the user feedback using SA. Feedback review of the customers has been collected fromAmazon.com and this research work had nearly 4000customer feedback reviews based on related categories namely ID of the product, name of the product, name of the brand, Rating, review of the product and vote based on review. This kind of analysis will be helpful for the customers to identify the better product with quick analysis and identify the implicit product perhaps the e-commerce business to improve the sales based on providing offers for particular implicit products.
Object Counting using Deep Learning

In this paper, we consider the Problem of Object counting in deep learning. It is frequently carried out in different place of industries, school and colleges, traffic places among others. Object counting is major for quantitative analyses that rely on evaluation on certain objects. In this work, we propose a deep learning to find this challenge. Unfortunately, Object counting is most commonly a manual task and can be time intensive.  As a result, we manage both to increase the accuracy count and decrease the processing time. A Deep Learning based system can be used for real time applications.
Error correction of a logical grid state qubit by dissipative pumping

Stabilization of encoded logical qubits using quantum error correction is key to the realization of reliable quantum computers. While qubit codes require many physical systems to be controlled, oscillator codes offer the possibility to perform error correction on a single physical entity. One powerful encoding for oscillators is the grid state or GKP encoding, which allows small displacement errors to be corrected. Here we introduce and implement a dissipative map designed for physically realistic finite GKP codes which performs quantum error correction of a logical qubit implemented in the motion of a single trapped ion. The correction cycle involves two rounds, which correct small displacements in position and momentum respectively. Each consists of first mapping the finite GKP code stabilizer information onto an internal electronic state ancilla qubit, and then applying coherent feedback and ancilla repumping. We demonstrate the extension of logical coherence using both square and hexagonal GKP codes, achieving an increase in logical lifetime of a factor of three. The simple dissipative map used for the correction can be viewed as a type of reservoir engineering, which pumps into the highly non-classical GKP qubit manifold. These techniques open new possibilities for quantum state control and sensing alongside their application to scaling quantum computing.
TENIK PEMERIKSAAN MRI CERVICAL PADA KASUS MULTIPLE SCLEROSIS DENGAN MENGGUNAKAN SEKUENS T2 MERGE AXIAL

The selection of the right sequence in the Magnetic Resonance Imaging examination affects the image quality results. Supporting examination to detect multiple sclerosis in the cervical is the MR examination. Multiple sclerosis in the cervical vertebrae can be evaluated well using cervical MRI on the T2 MERGE axial sequence. The purpose of this study is to explain the cervical MRI examination procedure and to explain the role of the T2 MERGE axial method of cervical MRI examination with multiple sclerosis (MS) cases. This type of research is a descriptive study with a literature review approach. Articles are obtained by searching through journal search engines such as google shcolar and electronic database sites that is AJR dan springer. Articles are selected based on determined inclusion criteria and data collection and presentation are carried out, to get conclusions. Cervical MRI examination procedure with multiple sclerosis patients includes explaining the examination procedure to be performed to the patient, the patient is advised to go to the toilet before the examination takes place so that the examination time is long enough for the patient not to urinate, asking the patient to remove metal objects from the body because the MRI examination is equipped with a very strong magnetic force, attach earplugs so that no noise occurs. The use of T2 MERGE axial sequences detected more clinical multiple sclerosis lesions in the spinal cord. The T2 MERGE axial sequences has been shown to provide excellent result for artifact reduction without sacrificing quality on thin slices of image and improve the ability to identify spinal cord, CSF, neural foramen and disc.
LibGuides: Arts and Languages Education : Research Support

Welcome, the guide will help students to easily access information related to Arts and Languages Education
A Bitter Pill to Swallow: Is Tablet Technology the Answer to a Catch-up Curriculum?

This literature review looks at the use of tablets within educational settings. Specifically, it outlines three main areas of rationale for their use: pedagogical change, 21st century learning, and logistical and economic considerations. We believe this is of additional relevance due to the current pandemic and potential opportunity forincorporating technology into a postlockdown ‘catch-up curriculum’. The use of tablets evaluated here does not look at the effectiveness of online learning; instead, itfocuses on their use in classrooms, specifically using tablets as a resource for research and learning, much like an encyclopaedia. We evaluate the benefits of using this type of technology to enhance learning and conclude that, although tablets can be used successfully, this is not always the correct option.
Individual Awareness of E-Wallet and Bank Staff Related Fraud in Malaysia, in the Face of Widespread Global Digitalization

The digitalized world is accelerating at a tremendous pace. Many banks and businesses today offer e-wallets as a way of paying bills. As more and more products and services are being offered online at just a click away, a major concern is the security and privacy of data that is widely being transmitted across cyberspace to support online businesses and payment activities. This is because, there are many cybercriminals who attempt to use methods to make financial gain from unsuspecting online users of apps. There is a wide array of apps available to users including the popular e-commerce applications, ride hailing apps, banking apps, travel apps, chat and social apps and many of these apps are used by cybercriminals, who plant links in such apps to trick users. The aim of this research is to gather information on the extent of e-wallet fraud and whether respondents have heard of bank staff being involved in fraud. The aim is create awareness on how the public can be more aware of the pitfalls of using e-wallet and banking online applications for day to day transactions, particularly through the use of the mobile phone to make a transaction.
Guides: Animation Research Guide: Manuals and Guides

Curated resources to start your research on 2D animation, 3D animation, illustration, and visual effects.