Reviewerly/exHarmony huggingface dataset:
고령사회에서의 배움여가에 관한 연구

The purpose of this study was to investigate phenomena, conditions of schole through 3steps of qualitative content analysis method. To achieve on the purpose of this study, it was necessary to schole were typified, and elements and conditions behind schole were identified. This study introduces the term 'schole' to mean leisure in learning. Investigation on leisure in learning helped understand specific phenomena, conditions of schole. Furthermore, the study anticipates to contribute to raising awareness on the necessity and significance of schole, in terms of proposing social direction for aged society. The major results of this study are follow. First, schole were typified into knowledge acquisition/artistic activity, social activity, maum study, self-maintenance and social activity. schole experience involved emotional states, such as attitude, manner in life. Second, selection of and decision for leisure activities were affected by characteristics of learning - natural instinct to learn, compassion and reformatting. Because the elderly pursue virtue-practicing life, they wanted valuable life and activities which contribute both to themselves and to the society. Third, if the necessity of schole was realized and prepared for pre-retirement, people could enjoy successful retirement life. The elderly were moved to use their increased free time to search for other activities. To adjust to the change and live a successful retirement life, they decided on leisure with value. Finally, people engaging in schole can have positive influence on individuals and society to practice virtue. This study can propose social direction in preparation for post-aged society. It bears a grave implication for Korean society which is in fear of social problems related with aged society. The development of lifelong education program and governmental policies should also change to lead people to realize the importance of schole and to encourage them to experience it in life.
The backend of news as a juxtaposition of data and human costs

Indexing and semantic code in news draw on a base of well-defined vocabulary from classification systems used by news editors for search tags, but journalism also uses leaked data, mobile metadata logs, and datasets for visualisations. The tagging systems in news, like NewsCode, are embedded in CMS and help to bind data for cross-referencing purposes. The defined concepts have an ontological base that relate to “news” and they are structured in hierarchical and logical ways. For many years social media tags were unstructured, but folksonomy approaches do not exclude semantic methods, and vice versa. Media cloud tools can also be used by journalists to generate lightly interactive graphic visualisations or to integrate data onto maps. However, data and metadata should also be used to develop new semantic systems to better protect journalists in conflict zones and to embed the values and ethics of journalism into algorithms for journalism training systems.
CASE-BASED REASONING PEMBERIAN REKOMENDASI PROFESI BERDASARKAN MINAT DAN BAKAT SISWA MENGGUNAKAN SIMPLE MATCHING COEFFICIENT SIMILARITY

One of the applications of technology in psychology is a system for determination of interest and talent systems. The system of determining interests and talents in this case can be applied in determining professional recommendations based on the interests and talents of a high school student who will continue to lectures or jobs in accordance with their fields. A person's interests and talents can be known from habits, preferences and hobbies. The Case-based Reasoning system created in this study uses cases from respondents which is collected using a questionnaire containing some questions about a person's interest in. To match new cases with old cases stored on a case basis, the authors use the Simple Matching Coefficient similarity method. The system will recommend a suitable work after the user inputs his preferences and habits. based on the results of the tests conducted, it was found that the system had produced the same calculation between the values generated by the system and manual calculations. While based on testing that conducted on data test, it was found that the system was able to provide an accuracy value of 83.33%.
The Unification perspective and Security Consciousness of 20&amp;30 Generations

2030세대는 기성세대의 안보의식 강화라는 목소리에 무관심과 거부감을 느끼는 경향이 있다. 물론 그렇다고 해서 그들이 남한이 북한식 사회주의국가에 편입되는 것을 바라는 것은 결코 아니다. 그들은 전쟁의 참혹함을 경험해 보지 못하였으며 그들에게 있어서 한국전쟁은 역사교과서에서나 배우는 이미 지나버린 과거의 할아버지, 할머니들의 전쟁일 뿐이다.‘한반도에서 다시 전쟁이 일어날 일이 없다’는 막연한 믿음을 바탕으로 하는 2030세대의 안보의식의 부재와 무관심은 자유민주주의 체제의 우월성에 대한 맹신과 정부에 대한 불신에서 비롯된다고 할 수 있다. 우리는 지금 세계적으로 가장 야만적이고 호전적인 정권과 휴전선을 경계로 대치하고 있다. 과거 군사독재정권에 의해 왜곡되고 변질된 반공정책(즉 민주인사나 무고한 시민을 빨갱이로 몰아가는 마녀사냥)에 대한 거부감은 2030세대의 안보의식에 지대한 영향을 미쳤다. 젊은 세대들의 정부에 대한 불신은 아직까지 남아있고, 이는 왜곡된 안보의식과 안보 무관심을 초래하였다. 북한에 대해 강경노선을 주장하는 모든 사람을‘수구보수세력’, 북한에 대해 햇볕정책을 주장하는 모든 사람을‘친북좌파세력’으로 매도하는 식의 정치적 편향성은 사회적 갈등과 혼란만을 가져올 뿐이다. 정세와 국익에 따른 탄력적인 대북정책 및 안보정책은 언제나 필요한 것이며, 이것이 소위 진보와 보수를 가르는 기준이 될 수 없다. 국가존립을 위한 안보는 진보와 보수의 문제가 아니며, 세대 간 갈등의 문제가 아니다. 안보 없이 국가는 존립할 수 없고, 국가 없이 국민은 존재할 수 없다. 따라서 국민들의 안보의식은 국가존립을 위한 마지막 보루인 셈이다.The 2030 generation tends to feel indifferent and repulsed by the voice of strengthening the security consciousness of the older generation. Of course, that does not mean they want South Korea to be incorporated into a North Korean socialist state. They have never experienced the horror of war, and for them, the Korean War is only the war of past grandfathers and grandmothers who have already passed through the history textbooks The absence of security consciousness and indifference of the 2030 generation based on the vague belief that there will be no war on the Korean peninsula can be said to be caused by the blind faith in the superiority of the liberal democratic system and distrust of the government. We are now confronting the world s most barbaric and belligerent regimes and armistice lines. Rejection to anti-communist policies distorted and degraded by the military dictatorship in the past had a profound impact on the security consciousness of the 2030 generation. The distrust of the government of the younger generation remains, which caused distorted security consciousness and security indifference. The distrust of the government of the younger generation remains, which caused distorted security consciousness and security indifference. The political bias of selling all those who claim a hard line against North Korea as conservatives and all those who claim a sunshine policy against North Korea as pro-North leftists only brings social conflicts and confusion. The flexible North Korean policy and security policy according to the situation and national interest are always necessary, and this can not be a standard for distinguishing so-called progress from conservatives. Security for national existence is not a matter of progress and conservatism, it is not a matter of conflict between generations; without security, the state cannot exist, and without the state, the people cannot exist, Therefore, the people s sense of security is the last step for national existence.
LibGuides: PS III Professional Development: Technology

Created under the direction of Dr. Greg Ogilvie in April 2020 to support student teacher development during the school closures.
Visuo-postural sensitivity to sinusoidal modulations of viewpoint in VR

With the increasing adoption of mixed reality technology, it is crucial to identify and avoid displays that cause noxious effects among users, such as loss of balance or motion sickness. Towards this end, we examined the effects of sinusoidal modulations of viewpoint on standing posture. These modulations varied the position of the user’s viewpoint in a virtual environment (VE) over time along either the left-right or the forwards-backwards direction; each had a chosen amplitude and temporal frequency. We measured the resulting change in posture at the frequency of visual stimulation, the socalled steady-state visually evoked posture response (SSVEPR), and used a signal-to-noise ratio (SNR) method to assess SSVEPR strength. These posture responses are described well by sigmoid functions of viewpoint modulation amplitude, allowing one to estimate the lowest amplitude of the visual stimulus that generates a just-detectable posture response. Results suggest that the visuo-postural control system’s sensitivity to viewpoint modulation increases with the frequency of the stimulus. Results also suggest that there is a speed threshold for viewpoint movement that must be met or exceeded if a posture response is to be produced. The results are similar for both left-right and forwards-backwards modulations, and for conditions in which users either moved through the VE or were stationary in the VE while viewpoint was modulated. These results shed light on which features of visual self-motion stimuli drive postural responses.
A Conceptual Framework for Intelligent Management of Workloads in Cloud Environment

Cloud computing is an important paradigm for processing, computation, storage, and network bandwidth. Workloads are the amount of data given to the hardware resource for processing. Its behavior and properties play a major role in the efficient scheduling of requests to given resources. Also, it is very difficult to predict workloads nature if they are changing excessively. To address this issue, we propose a conceptual framework which can be used for efficient prediction and optimization of workloads in a cloud environment. Classification of optimization metrics based on the provider and consumer constraints are presented. In addition to this, some of the research gaps found during the study has been highlighted and also provided possible solutions in the cloud research domain.
KNOWLEDGE AND ROLE OF MOTHERS IN DEVELOPING EMOTIONAL INTELLIGENCE OF 4-6 YEARS OLD CHILDREN

Emotional intelligence is an important intelligence in developing children's intelligence. Emotional intelligence is the interaction of children with the environment, especially children's interactions with their parents. Parental knowledge is very influential in the role of parents in developing children's emotional intelligence. This study generally looks at the knowledge and role of mothers to develop emotional intelligence in children 4-6 years. This research uses a qualitative approach and is supported by quantitative data with a survey method. This study involved ten respondents who had children 4-6 years. The instrument of this study used questionnaires, interviews, and observations. The results of the analysis show that the mother's knowledge of children's emotional intelligence has a high min value for the basic knowledge items of emotional intelligence items of characteristic emotional intelligence owned by children (m = 3.98 dan m = 4.06) which means that mothers have knowledge of emotional intelligence. However, the results of the interview found that 50% of respondents had never known about emotional intelligence and 50% of them knew about emotional intelligence. The role of a mother who can develop emotional intelligence is that the mother always acts again and invites the child to find solutions to every problem experienced by children, that the min value is high (m = 4.04). Keywords: Knowledge and Role Mothers, Developing Emotional Intelligence, Children 4-6 Years
Early professional orientation of students: interaction mechanisms of HEI and industrial undertakings

Planning and Teaching Engineering Staff for the Industrial and Economic Complex of the Region 2019: Proceedings of 2019 XVIII Russian Scientific and Practical Conference on Planning and Teaching Engineering Staff for the Industrial and Economic Complex of the Region (PTES)
Cross polarimetric thermal-to-visible heterogeneous face recognition by coupled dictionary learning

Cross-model heterogeneous face recognition (HFR) has been one of the most challenging areas of research in biometrics and computer vision. The main goal of HFR is to accurately recognize/identify the visible face image with probe images captured in alternative sensing modalities, such as thermal spectrum. The polarization state information of thermal faces contains the missing textural and geometrics details in the conventional thermal face imagery, which facilitate the development of cross-spectrum face recognition. In this paper, we propose a coupled dictionary learning architecture to find a common embedding space between the visible and sensing domains, where we model the learning problem as a bilevel optimization. The learned coupled dictionaries are used to transform visible and polarimetric thermal face images into the common embedding feature space via patch-wise sparse recovery. Experiments conducted with the polarimetric thermal facial datasets which contains face images that has been taken at three different ranges and with different face expressions. The results show that our proposed coupled learning method could fuse polarimetric and thermal features in a way to outperform the conventional methods and enhance the performance of a thermal-to-visible face recognition system.
Multi-objective Optimization for a Commercial Datacenter in Paraguay

This work presents the implementation of a Resource Optimizer System for a commercial datacenter in Paraguay, which offers cloud services and uses Citrix Hypervisor (XenServer) as virtualization platform. To solve the VMP problem in a real environment, an automatic data collection module was implemented to periodically obtain the status of the datacenter resources. An especially design multi-objective memetic algorithm was also implemented to recommend improvements on the virtual machine placement, when needed. Three objective functions were considered: (1) power consumption minimization, (2) network traffic minimization and (3) economical revenue maximization. Finally, recommendations were applied in the datacenter and measurements of the used resources were made, minimizing power consumption at 29%, minimizing network traffic up to 50% while maintaining to maximum the economical revenue.
LibGuides: Library & Technology Services: Hathitrust Digital Library

A resource guide with information about accessing electronic resources and Law Library and Technology services.
Library Guides: Wicked (ENG 485): Interlibrary Loan

A collection of websites, articles and other resources related to Wicked and Gregory Maguire
Android Accessibility Features

In this chapter, we’ll take a look at the accessibility features that are part of Android. This is not an exhaustive guide; we’ll focus on the features that may impact you as a developer, either because you need to provide support, make some decisions for the feature to work, or because it may change how your app looks or feels in some way. For a more consumer-focused introduction of features available, check Google’s support pages.
Attack on hash functions

This article explores the attack on the MD5 hash function using pre-calculated hash chains, as well as the rainbow table method. The content of the article includes: the operation of the MD5 hash function, the determination of the calculated hash chains, the attack on the MD5 hash function by the method of the calculated hash chains, as well as the definition and study of rainbow tables. A hash function is a function that converts an array of input data of arbitrary length to an output bit sequence of fixed length, and is performed using a specific algorithm. The main vector of attack on hash functions is the search for collisions. A collision is the equality of two output values of hash functions for different input data. in this article, two methods are used to investigate the attack on hash functions: the method of pre-calculated hash chains and the method of rainbow tables. it is concluded that the rainbow table method helps to eliminate all the disadvantages that exist in the pre-calculated hash chains. where a single collision causes the rest of the chain to be corrupted. Thus, the longer the chain, the more damage is obtained from collisions. In rainbow tables, these situations are almost reduced to 0.
Augmented Reality Guidance System for Ultrasound-Guided Puncture Surgery Training

Ultrasound-guided renal biopsy is one of the most widely applicable diagnostic methods. The procedure involved ultrasound scanning of the lesion area and sampling using a puncture needle. The success rate of sampling depends largely on the accuracy of needle placement and requires a high degree of skill on the part of the operator. In this paper, we describe a visual puncture guidance system designed to increase the accuracy of needle puncture. Our solution is based on the Vuforia engine, which tracks the location of the puncture needle and ultrasonic probe in space. Our system can reduce the difficulty of puncture by providing an intuitive way to display the visual track. The operator’s field of view is enhanced on the screen, thus exercising 3D vision and eliminating the need to consult external monitors. Based on this prototype, our goal is to develop a complete system, reduce the training cost, and improve the overall precision of puncture, to improve the success rate of sampling.
Research Guides: Knowledge Organization and Metadata Services: Special Formats and Helpful Resources

Outlines the mission and responsibilities of the department and provides access to the tools used to accomplish this work. Lists of specialized resources to support cataloging of unique items, such a rare books or audiovisual materials
A Framework for Improving Cold Start Time in Function-as-a-service (FaaS)

This article describes a framework proposal for the cold start problem in Function-as-a-service (FaaS). The proposed framework has the goal to reduce the execution time and is presented as a prototype implemented that was evaluated with two different experimental scenarios and compared with a commercial proposal, the FaaS AWS Lambda from Amazon. The results show that the proposed framework may be considered a solution for the cold start problem and may improve the performance for applications that require a low response time.
LibGuides: PS III Professional Development: Supporting English Language Learners

Created under the direction of Dr. Greg Ogilvie in April 2020 to support student teacher development during the school closures.
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: students’ 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 learners’ 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.
LibGuides: Educational Tools for Your Classroom: Animations and Videos

This guide offers a list of free resources that can be used by professors in their classrooms and by students when creating their assignments
KABA Subject Headings and the National Library of Poland Descriptors in Light of Wojciech Wrzosek’s Theory of Historiographical Metaphors and Different Historiographical Traditions

The aims of this article are, first, to provide a necessary background to investigate the discipline of history from the knowledge organization (KO) perspective, and secondly, to present, on selected examples, a way of analyzing knowledge organization systems (KOSs) from the point of view of the theory of history. The study includes a literature review and epistemological analysis. It provides a preliminary analysis of history in two selected universal Polish KOSs: KABA subject headings and the National Library of Poland Descriptors. The research is restricted to the high-level concept of historiographical metaphors coined by Wojciech Wrzosek and how they can be utilized in analyzing KOSs. The analysis of the structure of the KOSs and indexing practices of selected history books is performed. A particular emphasis is placed upon the requirements of classical and non-classical historiography in the context of KO. Although the knowledge about historiographical metaphors given by Wrzosek can be helpful for the analysis and improvement of KOSs, it seems that their broad character can provide the creators only with some general guidelines. Historical research is multidimensional, which is why the general remarks presented in this article need to be supplemented with in-depth theoretical and empirical analyses of historiography.
LibGuides: LHC@Home: Fun@Home

Use this page to find information on accessing the school's electronic programs and resources when you are not on the school campus.
Protecting Computer Systems from Cyber Attacks with Internal Interface Diversification

Internal interface diversification is a proactive technique that protects software and devices from malicious cyber attacks by making interfaces unique in every separate system. As malware cannot use the knowledge about internal interfaces in the system to its advantage anymore, it is rendered useless. The current study gauges the effectiveness of internal interface diversification by analyzing three cyber attacks as case studies and showing why internal interface diversification is an effective countermeasure against them. The study will further serve to demonstrate that internal interface diversification is a feasible and widely applicable security measure against numerous common cyber attacks.
Learning the grammar of prescription: recurrent neural network grammars for medication information extraction in clinical texts

In this study, we evaluated the RNNG, a neural top-down transition based parser, for medication information extraction in clinical texts. We evaluated this model on a French clinical corpus. The task was to extract the name of a drug (or class of drug), as well as fields informing its administration: frequency, dosage, duration, condition and route of administration. We compared the RNNG model that jointly identify entities and their relations with separate BiLSTMs models for entities and relations as baselines. We call seq-BiLSTMs the baseline models for relations extraction that takes as extra-input the output of the BiLSTMs for entities. RNNG outperforms seq-BiLSTM for identifying relations, with on average 88.5% [87.2-89.8] versus 84.6 [83.1-86.1] F-measure. However, RNNG is weaker than the baseline BiLSTM on detecting entities, with on average 82.4 [80.8-83.8] versus 84.1 [82.7-85.6] % F- measure. RNNG trained only for detecting relations is weaker than RNNG with the joint modelling objective, 87.4 [85.8-88.8] versus 88.5% [87.2-89.8]. The performance of RNNG on relations can be explained both by the model architecture, which provides shortcut between distant parts of the sentence, and the joint modelling objective which allow the RNNG to learn richer representations. RNNG is efficient for modeling relations between entities in medical texts and its performances are close to those of a BiLSTM for entity detection.