Reviewerly/exHarmony huggingface dataset:
Rainwater Harvesting (RWH) installation for buildings : a systematic review and meta-analysis approach / Azirah Adnan, Asmalia Che Ahmad and Suharto Teriman

Rainwater that falls upon a roof surface which are collected and transferred to the storage facility for later use is a method known as Rainwater Harvesting (RWH). This method is a step towards conserving the public drinking water where the demand continues to grow worldwide. In Malaysia, there is a huge potential of rainwater harvesting based on theavailable rainfall amount. Even so, the existing RWH design guideline in Malaysia lacks the technical specification regarding congruousness of RWH installation method with the physical characteristic of the building. Therefore, systematic literature review and meta-analysis were done toidentify and understand the suitability between the types of RWH installation system with the building’s physical characteristic. The main objective of this study is to review the existing articles from year 2000 to the present on the installation systems used in RWH for non-potable purposes. The RWH installation system, types of building and building characteristics used in the previous studies will be evaluated in order to understand the suitability or regularity of the combinations. This review uses the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) asreviewing method. The systematic review process involved four stages which are identification, screening, eligibility and included. The sources of this review are Science Direct and Google Scholar. Results show there are three types of RWH installation system that were identified namely Gravity FedSystem (GFS), Indirect Pumping System (IPS) and Direct Pumping System (DPS). DPS is commonly applied for non-potable purposes in residential, commercial and educational buildings. Small yard area, sloping site condition and types of soft landscape will affect the type of RWH installationsystem to be used. The result can be used to determine the suitability of the RWH installation system for different types and characteristics of a building.
Aprendizaje sincrónico y educación a distancia en estudiantes de Educación Primaria IV ciclo de la E.E.S.P.P. “José Jiménez Borja”, 2020

ObjectiveTo determine the importance and correlation of teacher mediation, virtual learning environments, learning model and synchronous learning in distance education considering virtual environments, for the achievement of meaningful and quality learning in students.MethodThe research is descriptive correlational, the study was carried out to 26 students of the primary education program of the School of Public Pedagogical Higher Education Jose Jimenez Borja of Tacna. The survey technique was applied, with items validated with factor analysis. ResultsStudents recognize the importance of mediation in distance learning and the importance of learning in virtual environments that should be the domain of teachers and students, the new synchronous learning model is accepted at 95% confidence. ConclusionsThe mediation in distance education, facilitates the self-learning of students achieving the construction of knowledge, through an investigative attitude, evidenced in the participation of the educator.
Cartesian Frames.

We introduce a novel framework, the theory of Cartesian frames (CF), that gives powerful tools for manipulating sets of acts. The CF framework takes as its most fundamental building block that an agent can freely choose from a set of available actions. The framework uses the mathematics of Chu spaces to develop a calculus of those sets of actions, how those actions change at various levels of description, and how different agents' actions can combine when agents work in concert. We discuss how this framework might provide an illuminating perspective on issues in decision theory and formal epistemology.
Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy?

As modern communication networks grow more and more complex, manually maintaining an overview of deployed soft- and hardware is challenging. Mechanisms such as fingerprinting are utilized to automatically extract information from ongoing network traffic and map this to a specific device or application, e.g., a browser. Active approaches directly interfere with the traffic and impose security risks or are simply infeasible. Therefore, passive approaches are employed, which only monitor traffic but require a well-designed feature set since less information is available. However, even these passive approaches impose privacy risks. Browser identification from encrypted traffic may lead to data leakage, e.g., the browser history of users. We propose a passive browser fingerprinting method based on explainable features and evaluate two privacy protection mechanisms, namely differentially private classifiers and differentially private data generation. With a differentially private Random Decision Forest, we achieve an accuracy of 0.877. If we train a non-private Random Forest on differentially private synthetic data, we reach an accuracy up to 0.887, showing a reasonable trade-off between utility and privacy.
관광전공 대학생의 취업불안과 진로준비행동의 관계에서 전공적합성의 매개효과

This study examined the effects of Job-seeking Anxiety on major suitability and career preparation behavior, focusing on two-year college students in the metropolitan area who major in tourism. The survey period for this study was 230 questionnaires distributed from March to June 2021, and the final 166 questionnaires were used for analysis. The statistical analysis was conducted by multiple regression analysis, three-step regression analysis by Baron & Kenny (1986), and Sobel's Z test. The main results are as follows. First, the result of verifying that Job-seeking Anxiety(Job-seeking stress) will have a significant effect on major suitability showed that it has a significant negative effect. Second, the hypothesis that Job-seeking Anxiety will have a significant effect on career preparation behavior showed that it has a significant positive effect. The results of verifying that major suitability will have a significant effect on career preparation behavior showed that it is not significant. Fourth, the major suitability had a partial mediating effect on the effect of job insecurity on career preparation behavior. As a practical implication, non-face-to-face classes due to COVID-19 are a way to relieve the deterioration of learning ability and anxiety about the future. It should be encouraged to provide various opportunities outside of class to promote the improvement of practical skills. As a theoretical implication, job insecurity and major suitability of tourism majors at two-year colleges in the metropolitan area were meaningfully derived to increase their career preparation behavior. In particular, two-year universities are considered to be basic research for effective career education and counseling despite the characteristics of admission and graduation during the COVID-19 outbreak.
Credit Scoring Models and Applications Based on Personality Predictions Using Twitter Data and Debtor Big Data at PT. Bank Riau Kepri

The development of social media in Indonesia is very fast, even the latest data shows that social media users in Indonesia have increased from year to year. The total active social media is 160 million or 59% of the total Indonesian population aged 16 to 64 years. 99% of social media users via mobile. The most widely used social media is the Twitter platform. Rapid development, many business lines are starting to use social media analysis to see the personality of users. This phenomenon is called personality analysis by utilizing Big Data. In the internal of Bank Riau Kepri itself, there are no tools that can be used to analyze a person, including the analysis of prospective debtors. Therefore, debtor data in the Core Banking System at Bank Riau Kepri internal and tweet data on the twitter platform will be analyzed using Big Data using a machine learning model with the application of the Decision Tree and Random Forest algorithms. This analysis aims to see the personality of prospective debtors by utilizing the Twitter platform social data media combined with big data from Bank Riau Kepri debtors to see the character, capacity, and capital. After the analysis is done, testing is done on the model built by performing Split validation and cross validation to determine the level of model accuracy. The end result will help to see the credit analysis of the prospective debtor, which will be visualized in the application in the form of credit scoring. Credit scoring using algorithms combined with Big Data shows a very good level of accuracy, as evidenced by several previous studies.
Research Guides: Graduate Student Resources & Services: Workshops

This is a guide to resources and services in the UO Libraries especially relevant for graduate students.
<i>The Works of John Webster: An Old-Spelling Critical Edition</i>. Ed. by <scp>David Gunby</scp>, <scp>David Carnegie</scp>, and <scp>MacDonald P. Jackson</scp>

As the cambridge webster has not previously been reviewed in this journal, it may be helpful to describe its rationale—of necessity briefly, given that it occupies over 2,500 pages. In Volume I (1995) the prime mover, David Gunby (University of Canterbury, Christchurch, New Zealand) records how, in the early 1970s, ‘after preliminary discussions with D. F. Mackenzie’, he approached David Carnegie (Victoria University of Wellington, New Zealand) with a view to collaborating on a new edition of Webster. In 1975 they submitted a specimen scene to the Syndics of Cambridge University Press, who accepted it. ‘Several years’ work (some of it spent, on Gunby’s part, preparing machine‐readable texts of the entire corpus of Webster’s works, together with a wide range of control texts by Webster’s contemporaries, for computer authorship analysis by experts who promised much but delivered nothing) convinced the two editors that if the edition were to appear in that century, a third editor was needed’ (1, p. xi).
JEFL: Joint Embedding of Formal Proof Libraries

The heterogeneous nature of the logical foundations used in different interactive proof assistant libraries has rendered discovery of similar mathematical concepts among them difficult. In this paper, we compare a previously proposed algorithm for matching concepts across libraries with our unsupervised embedding approach that can help us retrieve similar concepts. Our approach is based on the fasttext implementation of Word2Vec, on top of which a tree traversal module is added to adapt its algorithm to the representation format of our data export pipeline. We compare the explainability, customizability, and online-servability of the approaches and argue that the neural embedding approach has more potential to be integrated into an interactive proof assistant.
Classification of soils derived from schist and older granite in the basement complex geology of Nigeria

Soil classification is vital to the advancement of soil studies in that it ensures identification of various soils of the world. The soils formed on schists and older granite in the basement complex geology of Nigeria were classified. Soil data consisting of morphological, physical and chemical properties of seven soil units in Ado Ekiti (AA - AE) and nine units in Kabba (KA – KI) were collated from previous studies. The soil classes according to the USDA Soil Taxonomy and World Reference Base for Soil Resources are; KA- Typic Durustalfs and Petroplinthic Lixisols, KB- Arenic Kandiustalfs and Ferric Lixisols, KC- Aquic Arenic Paleustalfs and Gleyic Lixisols, KD- Typic Kandiustalfs and Ferric Lixisols, KE- Kandic Paleustalfs and Ferric Lixisols, KF- Plinthic Kandiustalfs and Gleyic Lixisols, KG- Typic Plinthaqualfs and Gleyic Lixisols, KH- Aquic Kandiustalfs and Gleyic Lixisols, KI- Aquic Arenic Kandiustalfs and Gleyic Lixisols, AA- Plinthic Kandiustalfs and Plinthic Lixisols, AB- Plinthic Paleustalfs and Plinthic Lixisols, AC- Arenic Kandiustalfs and Haplic Lixisols, AD- Typic Durustalfs and Petroplinthic Lixisols, AE- Typic Kandiustalfs and Haplic Lixisols, AF- Arenic Paleustalfs and Haplic Lixisols and AG- Typic Epiaqualfs and Oxyaquic Arenosols.
宋代 通俗詞派의 存在, 特徵과 그 意義

In the flow of Tang-Song-Ci, there were many writers with similar characteristics to Liu-yong. They were not concentrated at any one time, but existed throughout each period. In this paper, we will temporarily refer to it as a Popular lyric Group, reflecting its characteristics. They actively adopted the system of Man-ci as a form, actively used spoken language, and adopted the Pu-xu’s expression style. The work also pioneered a new area of a Life Lyric, creating a variety of songs that were closely related to the lives of the people of Song Dynasty. Many of the above features were changes that shook the existing framework of Song-ci, and the direction of the change was to accept all the characteristics of folk literature to Song-ci area. The independent recognition of the popular social group is required, along with a review of the two-part method of dividing Song-ci’s Faction into Wan-yue and Hao-fang. In addition, it is necessary to evaluate the significance of literature history by recognizing that the typical pattern of Chinese literature, in which the activities of Popular lyric Groups are transmitted from private literature to literary literature, is reflected in Song Dynasty.
비대면 실시간 온라인 수업에서 한국어 학습자의 의사소통 의지 향상을 위한 연구

The purpose of this study is to analyze the willingness to communicate of Korean learners in non-face-to-face real-time online classes to find ways to improve their communication skills. Written interviews were conducted with 16 middle and high-level learners and 8 teachers at Y University’s Korean Language Institute how learners’ willingness to communicate in non-face-to-face real-time online Korean classes changes. As a result, it was found that their willingness to communicate was influenced by two types of factors: personal factors and situational factors. In other words, it was found that not only personal factors such as confidence in Korean, but also situational factors such as non-face-to-face online class environment had a great influence on the willingness to communicate of Korean learners. Based on these survey results, I propose a way to improve learners’ willingness to communicate in non-face-to-face classes. Classes using computer media, classes that can form a bond between learners, and desirable behaviors and attitudes of teachers in non-face-to-face real-time online classes are discussed.(Yonsei University)
호텔 구성원의 무형식학습이 주도적 경력 행동에 미치는 영향: 학습민첩성과 경력적응성의 매개효과

The objective of this study is to suggest the direction of career development that positively affects individuals and organizations through understanding the relationship between informal learning, learning agility, career adaptability, and proactive career behavior of hotel workers. Furthermore, we want to check whether learning agility and career adaptation play a mediating role in the relationship between informal learning and proactive career behavior. To verify the study, a mobile survey was conducted for 2 weeks from May 2 to May 16, 2020, with 350 domestic hotel employees. A total of 300 participants participated in the questionnaire, and the final 297 copies of the questionnaire responses were used for analysis, excluding unfaithful responses. As a result of analysis, first, informal learning had a positive effect on proactive career behavior, learning agility, and career adaptability. Second, learning agility and career adaptation have a mediating effect in relation to informal learning and proactive career behavior.
Understanding and Mitigating Multi-sided Exposure Bias in Recommender Systems

Fairness is a critical system-level objective in recommender systems that has been the subject of extensive recent research. It is especially important in multi-sided recommendation platforms where it may be crucial to optimize utilities not just for the end user, but also for other actors such as item sellers or producers who desire a fair representation of their items. Existing solutions do not properly address various aspects of multi-sided fairness in recommendations as they may either solely have one-sided view (i.e. improving the fairness only for one side), or do not appropriately measure the fairness for each actor involved in the system. In this thesis, I aim at first investigating the impact of unfair recommendations on the system and how these unfair recommendations can negatively affect major actors in the system. Then, I seek to propose solutions to tackle the unfairness of recommendations. I propose a rating transformation technique that works as a pre-processing step before building the recommendation model to alleviate the inherent popularity bias in the input data and consequently to mitigate the exposure unfairness for items and suppliers in the recommendation lists. Also, as another solution, I propose a general graph-based solution that works as a post-processing approach after recommendation generation for mitigating the multi-sided exposure bias in the recommendation results. For evaluation, I introduce several metrics for measuring the exposure fairness for items and suppliers, and show that these metrics better capture the fairness properties in the recommendation results. I perform extensive experiments to evaluate the effectiveness of the proposed solutions. The experiments on different publicly-available datasets and comparison with various baselines confirm the superiority of the proposed solutions in improving the exposure fairness for items and suppliers.
Analisisi Perspektif Mahasiswa pada Penerapan Kertas Kerja ATLAS di Era Digital

The digital era demand that accounting students, the future of Indonesian’s auditor to adapt to the rapid change of time. Thus, in order to improve the quality of those future auditors, the Indonesian government designed ATLAS. From the government’s perspective, ATLAS was designed to digitalize and replace the old, obsolete audit working paper. But what about student’s perspectives of this digitalization? This research uses the Likert scale to answer that question. This research investigates student’s perspectives of the implementation of ATLAS as an audit working paper. We found that 78.18% of the students have a positive view/perspective of ATLAS implementation as an audit working paper.
한국형 RMF 체계구축을 위한 위험우선순위 식별 방법론 제언

In 2015, the U.S. Department of Defense announced the RMF(Risk Management Framework), a new paradigm that combines existing cybersecurity concepts with system engineering-based risk management. The ROK(Republic of Korea) military has already applied the U.S. RMF when introducing the new F-35A fighter, and the need to introduce RMF, a more strengthened cybersecurity system, is emerging. For the ROK troops, RMF is no longer an inevitable trend, but the working conditions of the U.S. and South Korean troops are different, so it is essential to improve the RMF framework to suit the conditions of the South Korean military. In particular, due to the nature of the Korean military, which is not familiar with cybersecurity risk assessment at all, many difficulties are expected in the process of identifying cybersecurity risks, the starting point of RMF work. In this study, we propose a novel identification methodology to address the challenge between the practical applications of existing risk matrix-based risk identification methods.
Task-oriented accountability in autonomous systems

In Artificial Intelligence (AI) systems, a key problem is to determine the group of agents that are accountable for delivering a task and, in case of failure, the extent to which each group member is partially accountable. In this context, accountability is understood as being responsible for failing to deliver a task that a team was allocated and able to fulfil. This is, on one hand, about agents’ accountability as collaborative teams and, on the other hand, their individual degree of accountability in a team. Developing verifiable methods to address this problem is key for designing trustworthy autonomous systems and ensuring their safe and effective integration with other operational systems in society. Using degrees of accountability, one can trace back a failure to AI components and prioritise how to invest resources on fixing faulty components. In this talk, we report on a line of research on the application of formal methods and modal logics for reasoning about accountability in multiagent systems and focus on answering “Who is accountable for an unfulfilled task in multiagent teams: when, why, and to what extent?”. In addition, we elaborate on open problems, link to ensuring safety in application domains such as Connected and Autonomous Vehicles (CAVs), and highlight the potentials of formal accountability reasoning in design and development of trustworthy AI systems.
ur-iw-hnt at GermEval 2021: An Ensembling Strategy with Multiple BERT Models

This paper describes our approach (ur-iw-hnt) for the Shared Task of GermEval2021 to identify toxic, engaging, and fact-claiming comments. We submitted three runs using an ensembling strategy by majority (hard) voting with multiple different BERT models of three different types: German-based, Twitter-based, and multilingual models. All ensemble models outperform single models, while BERTweet is the winner of all individual models in every subtask. Twitter-based models perform better than GermanBERT models, and multilingual models perform worse but by a small margin.
MODIFIED PSO ALGORITHM WITH NON-LINEARLY DECREASING INERTIA WEIGHT

This paper proposes a modified particle swarm optimization method with non linearly decreasing inertia weight (MPSO-NDIW) and time varying acceleration coefficients. In this MPSO-NDIW method, proper control of the global exploration and local exploitation is done in finding the optimum solution efficiently. In the early stage, full range of search space is allowed for search by the PSO algorithm and in the later stages of search, fine tuning of solution is done so that the algorithm converges to the global optima efficiently .In velocity vector equation inertia weight and acceleration coefficients are non-linearly varied with iterations. To compare the performance of the MPSO-NDIW method with the other improved PSO, four well known benchmark test functions are used. The results reveal that MPSO-NDIW is a efficient technique and has better performance. KeyWords - Acceleration coefficients, particle swarm, asymmetric initialization, velocity vector, position vector.
Erguveem Ore Region in the eastern Chukotka Peninsula: An effect of the tectonics of the ore-bearing volcano-structures on composition of the gold-silver mineralization

The geological and structural position of the Pepenveem and Korrida Au-Ag ore occurrences situated in the East-Chukotka segment of the Okhotsk-Chukotka Volcanogenic Belt (OCVB) was studied. The Pepenveem ore occurrence was characterized by one (volcanogenic) mineralization stage. It is localized within a graben-like monocline composed of Late Cretaceous volcanics. A relatively stable tectonic regime caused rather low temperature and pressure gradients during the ore formation and, consequently, simple mineral composition of the ores and absence of advanced argillic alteration. In contrast, the Korrida ore occurrence was characterized by two (volcanogenic and plutonogenic) mineralization stages. It is localized within a plutonogenic uplift complicated by a regional fault zone. Here, the basement of the volcano-structure, composed of island-arc volcano-sedimentary rocks, was uplifted to the surface by numerous high-angle faults. The here observed extensive development of zoned metasomatic haloes (including advanced argillic alterations), abundance of mineral species, and sharp temperature and pressure gradients could resulted from tectonic activity in a zone of interaction between the plutonic dome and deep-seated regional fault.