Reviewerly/exHarmony huggingface dataset:
Review of social security administration in a risk society

우리 헌법 제34조 제1항은 ”모든 국민은 인간다운 생활을 할 권리를 가진다“라고 하여 국민의 생존권을 규정하고 있고, 동조 제2항은 사회보장·사회복지의 증진에 노력할 국가의 의무를 정하고 있다. 그리하여 국가는 현실적으로 대두된 사회적 요구를 충족하기 위하여 사회문제의 해결을 위한 조정자로서 또는 종합적인 사회보험자로서 적극적으로 대처하여 국민의 생활보호 내지 사회복리의 향상을 도모하지 않을 수 없게 되었다. 사회보장기능은 시대적 요청에 따라 등장한 복리국가에 있어서 공공복리증진의 사회적 분야의 적용이다. 이러한 국가책무를 실현하기 위한 구체적 수단이 바로 사회보장행정이다. 사회보장행정은 국민의 최저생활을 보장하고 복리를 증진하기 위하여 개인에 대하여 공적 급부를 제공한다. 본고에서는 사회보장행정을 리스크와 관련하여 검토하였다. 먼저 사회보장의 기본개념, 일본의 사회보장행정에 있어서 요보장사유, 비용의 부담방식, 정치적 결정, 관리행정 등을 검토하고, 우리나라의 사회보장행정에 있어서 사회보장행정의 개념, 사회보장의 영역으로 사회보험, 공공부조, 사회서비스의 문제점과 개선점을 검토한 후 우리나라 사회보장행정 제도의 개선방안을 위한 시사점을 찾아보았다.Article 34 Clause 1 of our Constitution stipulates the people s right to live by saying, “All people have the right to live a decent life,” and Article 2 of the Ties sets out the state s obligation to strive for the promotion of social security and social welfare. Thus, the state was forced to actively cope with social problems as coordinators or as a comprehensive social insurer in order to meet the social needs that have emerged in reality, thereby promoting the protection of the livelihood of the people and the improvement of social welfare. These social security functions are the application of the social sector of the promotion of public welfare in a welfare state that emerged at the request of the times. Social security administration is the specific means of realizing these national responsibilities. Social security administration provides public benefits to individuals to ensure the minimum living of the people and to promote welfare. In this paper, social security administration was reviewed in relation to risk. First, we reviewed the basic concepts of social security, reasons for the need for social security, cost, management, political decisions, and management administration through the discussion of social security administration in Japan, and reviewed the problems and improvements of the nation s legal system before looking for implications for the improvement of the nation s legal system.
Picture Game: Vocabulary Dissemination to Elementary Students

Learning vocabulary is quite different from learning of other aspects of a language such as grammar and phonetics that denotes to a learning the rules constantly. Learning vocabulary is a perpetual task for any language learner (Changhong, 2010). This is a descriptive study to explore the use of picture game in learning vocabulary to elementary students. The data collection technique is in the form of observation and documentation in one of state Elementary School (SDN) in Surabaya. Picture game is a strategy that make learners enjoy in learning. The learners learn new vocabulary and play game as well. Findings of this study suggest the application of picture game is valuable to assist students learning vocabulary. Keywords: vocabulary, picture, game
Tb-SAC: Topic-based and Sentiment Classification for Saudi Dialects Tweets

Recently, sentiment analysis has received a lot of attention from researchers in text mining and data analysis The studies have significantly expanded to include different languages from several sources that were employed to create a corpus to serve researchers in various shapes, sizes, and purposes Locally, a lot of effort is spent on analyzing sentiment for Arabic texts, for both Modern Standard Arabic (MSA) and vernacular dialects However, the researches concerned with creating a corpus based on the topic was relatively few In this paper, we present Tb-SAC as extracted corpora from Twitter, especially from Saudi dialects The corpus contains 4301 tweets, which labeled based on sentiments using a three-point scale: positive, negative, and neutral The corpus classify based on tweet topics into five main topics obtained from analyzing the gold set with 200 tweets The topics were Personal, Religion, Coronavirus, Entertainment, Other (Education, Economy, Sport, Food, Health, Social Media, Distance Working, Technology, Comedy, and Politics) Then, we performed the annotation process manually, besides applying eleven different classification models and validate the corpus by cross-validation model
The 1/5-th rule with rollbacks: on self-adjustment of the population size in the (1 + ( λ, λ )) GA

Self-adjustment of parameters can significantly improve the performance of evolutionary algorithms. A notable example is the (1 + (λ, λ)) genetic algorithm, where the adaptation of the population size helps to achieve the linear runtime on the OneMax problem. However, on problems which interact badly with the self-adjustment procedure, its usage can lead to performance degradation compared to static parameter choices. In particular, the one fifth rule is able to raise the population size too fast on problems which are too far away from the perfect fitness-distance correlation. We propose a modification of the one fifth rule in order to have less negative impact in scenarios when the original rule reduces the performance. Our modification, while still having a good performance on OneMax, both theoretically and in practice, also shows better results on linear functions with random weights and on random satisfiable MAX-SAT instances.
Analysis and Generalization of the Some Effects of Playing the Board Games

With the spread of digital games, board games as analog games are also popular. There are several discussions focusing on educational methods using board games. However, although it is said that it will have improved communication skills and educational effects, there is not much specific analysis. It is considered impossible to conduct social experiments that only control the use of board games, and it is generally difficult to measure them. Therefore, in this study, based on the hypothesis that it is effective, we set the “Fundamental Competencies for Working Persons” by METI as educational effects for 24 types of board games and analyzed the relationship. This paper describes the results. In addition, we discuss whether board games can be generalized for playing and learning, and the “Fundamental Competencies for Working Persons” for educational effects.
Study on the Geochemical Anomaly of Copper Element Based on Hyperspectral Indices

&amp;lt;p&amp;gt;Geochemical anomalies are an important indicator in prospecting. In particular, geochemical anomalies of Cu play a very important role in geological prospecting of minerals. Geochemical anomalies of Cu are mainly related to mafic-ultramafic rocks and porphyry bodies, which are also associated with ore-forming elements of the Co-Zn-Cr-Ni-Cu combination. The conventional technique of geochemical prospecting involves superimposition of element symbols (Au, Fe, Cu, Al, Ca, etc.) on the geological map of an area by analysing geochemical anomalies using geochemical data. However, this technique is not suitable for regions where geochemical anomaly data are limited. The development of hyperspectral remote sensing has enabled the mapping of spectral features related to characteristic absorption bands of elements in minerals at high spatial resolution, providing a means for precise and detailed reconstructions of geochemical anomalies facies (surface). Compared to conventional techniques for identifying elements, reflectance spectroscopy offers a rapid, inexpensive, and non-destructive tool for determining the mineralogy of rock and soil samples. Hyperspectral remote sensing also provides data for prospecting in areas without sufficient geochemical data, and thus is of vital significance in prospecting for ores in such regions. However, approaches for remotely sensing elements are still lacking, particularly for element content. In this study, a level analysis of Cu content via spectral indices in the northwestern Junggar region, Xinjiang, was conducted. Based on four levels (0&amp;amp;#8211;100 ppm, 100&amp;amp;#8211;1000 ppm, 1000&amp;amp;#8211;10000 ppm, and &amp;gt;10000 ppm) of Cu content and corresponding spectral reflectance, simple and useful spectral indices for estimating Cu content at different levels were explored. The best wavelength domains for a given type of index were determined from four types of spectral indices by screening all combinations using correlation analysis. The coefficient of determination (R2) for Cu was calculated for all indices derived from the spectra of rock samples and was found to range from 0.02&amp;amp;#8211;0.75. With sensitive wavelengths and a significant correlation coefficient (R2 = 0.63, P &amp;lt; 0.005), the Normalized Difference (ND)-type index was the most sensitive to Cu content exceeding 10000 ppm. Although the ND-type index has a few limitations, it is a useful, simple, and robust indicator for determining Cu at high concentrations. With the advent of new platforms and satellites in the future, such relationships with other elements are required to enable the widespread use of this index in broad-scale surveys of mineral elements in the field.&amp;lt;/p&amp;gt;
Intermediation Structure and Institutional Logics in Nicaragua

Intermediaries connect disparate actors and play a central role in building sustainable markets. Research in the economics tradition has largely focused on how intermediaries should be structured. ...
THE SEARCH AND RESCUE ROBOTS IN DISASTER MANAGEMENT: A SURVEY

Research on Search and Rescue Robots (SAR) is challenging yet promising research area which has significant application potential. The use of robotic assets in search and rescue operations will provide a very accurate and fast response in finding the victims in a disaster zone. Disasters occur without any warning that affects human life and property. Rescue robots can be employed in such area as the rescue robots have different capabilities like searching, removing rubbles, delivery of supplies, medical treatment, and evacuation of victims. The role of SAR robot cannot be under estimated in a disaster zone. The contributions of the different types of the robots such as rovers, humanoid robots, biped robots, and soft rescue robots, wheeled and tracked robot are ever increasing in rescue operations. Different technologies in robotics can be used in different disaster conditions. This paper presents a review of different types of rescue robots, their technologies, the platforms used in their design and construction, their mode of operations and their application areas. Deployment of appropriate types of rescue robots in disaster hit areas can reduce the loss and damages to human life and properties significantly.
SURVEI TINGKAT KEPUASAN MAHASISWA TERHADAP PENGGUNAAN APLIKASI BELAJAR SELAMA PERKULIAHAN DARING

The purpose of this study is to determine the level of student satisfaction with the use of learning applications during the online lecture period. The learning applications used are E-Learning, Edmodo, and Zoom. These three learning applications are given during the even semester of the 2019/2020 academic year to students of the Penjaskesrek and Guidance and Counseling study program in courses that are managed by the research team. This research is an experimental study using a 3x3 factorial design and data collection techniques using a questionnaire filled out via google form. The level of satisfaction is divided into three indicators, namely usability dimensions, information quality dimensions and service interaction dimensions. The results showed that there are differences in each learning application on the indicators of satisfaction. In the Usability Dimension, Edmodo application has the highest Mean Ranking of 36.86, and in the Information quality dimension the E-learning application has the highest Mean Ranking of 38.72, while the service interaction dimension of the E-learning application has the highest Mean Ranking of 36.92. So it can be concluded from these three learning applications that E-learning applications have the most significant influence on student satisfaction
What is SaaS

Software as a service (SaaS) is the most commonly used option for businesses in the cloud market. The reason? It's easily accessible all you need is an internet connection and a browser and it's ha...
Artificial Intelligence Inventions & Patent Disclosure

Artificial intelligence (“AI”) has attracted significant attention and has imposed challenges for society. Yet surprisingly, scholars have paid little attention to the impediments AI imposes on patent law’s disclosure function from the lenses of theory and policy. Patents are conditioned on inventors describing their inventions, but the inner workings and the use of AI in the inventive process are not properly understood or are largely unknown. The lack of transparency of the parameters of the AI inventive process or the use of AI makes it difficult to enable a future use of AI to achieve the same end state. While patent law’s enablement doctrine focuses on the particular result of the invention process, in contrast, this Article suggests that AI presents a lack of transparency and difficulty in replication that profoundly and fundamentally challenge disclosure theory in patent law. A reasonable onlooker or a patent examiner may find it difficult to explain the inner workings of AI. But even more pressing is a non-detection problem—an overall lack of disclosure of unidentified AI inventions, or knowing whether the particular end state was produced by the use of AI.The complexities of AI require enhancing the disclosure requirement since the peculiar characteristics of the end state cannot be described by the inventive process that produced it. This Article introduces a taxonomy of AI and argues that an enhanced AI patent disclosure requirement mitigates concerns surrounding the explainability of AI-based tools and the inherent inscrutability of AI-generated output. Such emphasis of patent disclosure for AI may steer some inventors toward trade secrecy and push others to seek patent protection against would-be patent infringers despite added ex ante costs and efforts. Utilitarian and Lockean theories suggest justifications for enhanced AI patent disclosure while recognizing some objections. Turning to the prescriptive, this Article proposes and assesses, as means for achieving enhanced disclosure, a variety of disclosure-specific incentives and data deposits for AI. It concludes by offering insights for innovation and for a future empirical study to verify its theoretical underpinnings.
Neural Complexity Measures

While various complexity measures for deep neural networks exist, specifying an appropriate measure capable of predicting and explaining generalization in deep networks has proven challenging. We propose Neural Complexity (NC), a meta-learning framework for predicting generalization. Our model learns a scalar complexity measure through interactions with many heterogeneous tasks in a data-driven way. The trained NC model can be added to the standard training loss to regularize any task learner in a standard supervised learning scenario. We contrast NC's approach against existing manually-designed complexity measures and other meta-learning models, and we validate NC's performance on multiple regression and classification tasks
DEVELOPMENT OF CHARACTER-EDUCATION LITERATURE ALTERNATIVES TO COMMUNITY DEVOTION

The meaning of developing reading books with educational content, apart from being an alternative to community service, is to provide child-friendly literary books and transferring character values through reading. The developed reading books can be used by the teacher as teaching material, both during distance learning and learning as usual. In its development, it goes through six stages, namely (1) topic selection, (2) exploration of sources and references, (3) compiling a product draft, (4) product development, (5) product revision, and (6) product publication. The results of this development are two rea ding books for elementary school students. First, namely Sepuluh Bungkus Pisang Goreng, for grades 1, 2, and 3 elementary school students. Second, namely Kisah dan Sajak Teladan Untukmu, for grade 4, 5, and 6 elementary school students; 5; and 6. In both, each contains an anthology or collection of literary works, in the form of short stories, poems, and rhymes that have been adapted to children's language, presented in full colors and pictures, along with post-reading activities so that reading activities are more meaningful.
Discursive Design: Critical, Speculative, and Alternative Things, By Bruce and Stephanie Tharp

For the better part of 2014, a debate flared on MoMA’s online curatorial experiment, Design and Violence, regarding the nature of speculative design practice. The discussion was prompted by John Th...
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces

Sample-based planning is a powerful family of algorithms for generating intelligent behavior from a model of the environment. Generating good candidate actions is critical to the success of sample-based planners, particularly in continuous or large action spaces. Typically, candidate action generation exhausts the action space, uses domain knowledge, or more recently, involves learning a stochastic policy to provide such search guidance. In this paper we explore explicitly learning a candidate action generator by optimizing a novel objective, marginal utility. The marginal utility of an action generator measures the increase in value of an action over previously generated actions. We validate our approach in both curling, a challenging stochastic domain with continuous state and action spaces, and a location game with a discrete but large action space. We show that a generator trained with the marginal utility objective outperforms hand-coded schemes built on substantial domain knowledge, trained stochastic policies, and other natural objectives for generating actions for sampled-based planners.
Silhouette Games: An Interactive One-Way Mirror Approach to Watching Players in VR

Watching others play is a key ingredient of digital games and an important aspect of games user research. However, spectatorship is not very popular in virtual reality, as such games strongly rely on one's feelings of presence. In other words, the head-mounted display creates a barrier between the player and the audience. We contribute an alternative watching approach consisting of two major components: a dynamic view frustum that renders the game scene from the current spectator position and a one-way mirror in front of the screen. This mirror, together with our silhouetting algorithm, allows seeing the player's reflection at the correct position in the virtual world. An exploratory survey emphasizes the overall positive experience of the viewers in our setup. In particular, the participants enjoyed their ability to explore the virtual surrounding via physical repositioning and to observe the blended player during object manipulations. Apart from requesting a larger screen, the participants expressed a strong need to interact with the player. Consequently, we suggest utilizing our technology as a foundation for novel playful experiences with the overarching goal to transform the passive spectator into a collocated player.
Satellite applications in diamond exploration and mine monitoring

SYNOPSIS Satellite-based applications for the monitoring of diamond exploration, operational mines, and post-closure mine sites is gaining traction. A variety of imagery is used to detect both kimberlite and alluvial deposits. Hyperspectral data is utilized mainly for primary deposits, and elevation models for secondary deposits. The data is used to constrain the exploration and ground truthing efforts, resulting in savings on both cost and time. Operational mines benefit from near-real-time monitoring of mining and related activities, including include environmental and security aspects. Satellite imagery can also be used to detect illegal and artisanal diamond diggings, with particular value for ethical sourcing validation in the supply chain. Post-closure monitoring of dumps and rehabilitation reduces the on-site presence of staff. The limitations of satellite applications are related mainly to the cost of obtaining images and the resolution or number of bands available on a detection platform. Keywords: remote sensing, satellite, monitoring, diamond, exploration, kimberlite, alluvial.
Utilization of Information System Dashboard of Internal Quality Guarantee at STT-Ibnu Sina Batam

Human resources on the campus of STT-Ibnu Sina Batam consisting of lecturers and supporting supporters have a verystrategic position, because they have a direct influence on the learning process, graduate quality and competitive output. The effectiveness of performance in teaching and learning and improvement of the academic atmosphere is strongly influenced by the standardization of quality to be achieved and the quality guarantee process that must be carriedout by a university. The thing that must be met so that the implementation of a quality guanrantee system at a universitycan be implemented properly is the availability of an accurate quality guarantee information system. The purpose ofthis research is to provide more quality for the campus of STT-Ibnu Sina Batam to improve security and ease in storinginformation, and to build a dashboard system to be able to handle and process data in real time and broadly, so thatdata values can be represented into a few concise pages. Dashboards also provide convenience in providing a varietyof important and quality information. To be clearer in analyzing and designing a new system, the author uses the method approach of Object Oriented Analysis and Design (OOAD) by using software used to help describe the system,namely by UML.
Question Items for Specific Lecture Types in College for More Adequate Student Evaluation on Instructors' Teaching Performance

The study attempted to propose refined question items used for eight types of lectures practiced in college settings (i.e., theory-based learning, flipped learning, discussion-based lectures, problem-based learning, co-teaching, Capstone Design, e-learning, and laboratory lectures). Its purpose was to help students objectively and accurately evaluate the lectures so that the instructors could use the data to improve their teaching effectiveness and to heighten student satisfaction. Extracting data from 15 journal publishers, the study investigated 34 articles published since 2013 in relation to lecture evaluations. Results entail different lecture evaluation question items that well match distinct features each lecture type entails. Further implications for future studies are proposed based on the findings.
EGCC Libguides: About the Library and Information Commons: Hours

Contact Information for Eastern Gateway Community College's Library and Information Commons
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data.

Can we develop visually grounded dialog agents that can efficiently adapt to new tasks without forgetting how to talk to people? Such agents could leverage a larger variety of existing data to generalize to new tasks, minimizing expensive data collection and annotation. In this work, we study a setting we call Dialog without Dialog, which requires agents to develop visually grounded dialog models that can adapt to new tasks without language level supervision. By factorizing intention and language, our model minimizes linguistic drift after fine-tuning for new tasks. We present qualitative results, automated metrics, and human studies that all show our model can adapt to new tasks and maintain language quality. Baselines either fail to perform well at new tasks or experience language drift, becoming unintelligible to humans. Code has been made available at this https URL