Reviewerly/exHarmony huggingface dataset:
Analysis of underwater welding in Indonesian warship using low hydrogen electrodes

As a security unit for the territorial waters of the Republic of Indonesia, the Indonesian Navy is required for combat readiness to carry out security operations quickly and precisely. It is very important to the readiness of the Indonesian Navy's ABK Soldiers and the Republic of Indonesia's defense equipment for warships in carrying out security activities in the territorial waters of the Republic of Indonesia. This study discusses underwater wet welding in anticipating an emergency if the ship's hull is hit by a collision so that the hull has cracks or holes. This research method uses AH36 steel plate metal. Then, underwater wet welding was carried out on the AH36 plate using a low hydrogen type electrode. Before welding, the electrodes were subjected to a drying process to a temperature of 900C. Wet welding underwater is carried out at a depth of 5 meters in seawater. The results of underwater wet welding are NDT testing; penetrant test, radiography test, then also DT test; hardness test, tensile test, and test according to ASTM standard. Analysis of underwater wet welding results compared to atmospheric welding results as quality control, so that the percentage difference in mechanical properties can be known. The interesting thing from welding AH36 steel plate with underwater wet welding and applying low hydrogen electrodes is the minimal level of weld porosity defects in the welding results. So that the low hydrogen electrode can be used in welding AH36 steel plate in underwater welding applications.
PENERAPAN KURSUS LEARNING MANAGEMENT SYSTEM (LMS) BAGI PENINGKATAN KOMPETENSI GURU DAN TENAGA KEPENDIDIKAN PAUD

Developments The world is currently faced with the phenomenon of digital disruption, which is a situation indicated by the movement of the industrial world or job competition that is no longer linear. In the field of courses, currently there has also been an online course service that can be accessed via the web/page. One is a Learning Management Systems (LMS) based course that allows instructors and/or students to share material, submit and return assignments, and communicate online. The research method used is research and development using the product development concept from ADDIE which consists of 5 stages, namely (1) analysis, (2) design, (3) development, (4) implementation, and (5) evaluation. The results of research and development of a Learning Management System (LMS)-based computer course model that has been tested on PAUD teachers and education staff show that the practicality of this model is very well implemented by instructors and can be applied by course organizers. The results of the course learning in the trial can improve the skills of PAUD teachers and education personnel in the office application computer course program.
Global financial markets: Factors influencing the global financial markets

The worldwide recession began in earnest with a series of acute financial crises in key developed nations that occurred simultaneously with the freezing of financial markets around the world and the steep decline in global trade.The current research focused on assessing the impact of (Global economy, Business growth and development, and Inflation) ton global financial markets.The present thesis was analyzed using a questionnaire.Sample design is the technique or process that the researcher is able to accept in selecting objects for the survey is referred to as sample design.The research sample was chosen using a random sampling method and carried out in various businesses located in Kurdistan region of Iraq.A total of 280 questionnaires were issued, but only 228 participants completed them correctly.In order to examine the aspect of factors (Global economy, Business development and growth, and Inflation) to measure the influence on sustained competitive advantage in small and medium businesses in Kurdistan region of Iraq.Participants were asked to rate the value of each object on a five-point scale ranging from unimportant to highly important.The findings revealed that the implications of the first hypothesis: Global economy strongly predicts global financial markets (Beta is weight 0.801, p.001), implying that Global economy would have a clear beneficial relationship with global financial markets based on these findings, the implications of the second hypothesis: Business development and growth strongly predicts global financial markets (Beta is weight 0.719, p.001), implying that business development and growth would have a clear beneficial relationship with global financial markets based on these findings, and finally the implications of the third hypothesis: inflation strongly predicts global financial markets (Beta is weight 0.689, p.001), implying that Inflation would have a clear beneficial relationship with global financial markets based on these findings.
SpeakNav: A Voice-based Navigation System via Route Description Language Understanding

Many navigation applications take natural language speech as input, which avoids typing in words with their hands and decreases the occurrence of traffic accidents.We propose the SpearkNav navigation system that enables users to describe intended routes via speech and supports clue-based route retrieval.SpeakNav includes a route description language understanding model for determining POIs and distances along expected routes, and it includes an efficient algorithm to compute desired routes.In addition, SpeakNav supports basic POI and location search and location-based route navigation.We demonstrate how SpeakNav accurately recognizes users' intentions and recommends appropriate routes in real application scenarios.
Playing Codenames with Language Graphs and Word Embeddings

Although board games and video games have been studied for decades in artificial intelligence research, challenging word games remain relatively unexplored. Word games are not as constrained as games like chess or poker. Instead, word game strategy is defined by the players’ understanding of the way words relate to each other. The word game Codenames provides a unique opportunity to investigate common sense understanding of relationships between words, an important open challenge. We propose an algorithm that can generate Codenames clues from the language graph BabelNet or from any of several embedding methods – word2vec, GloVe, fastText or BERT. We introduce a new scoring function that measures the quality of clues, and we propose a weighting term called DETECT that incorporates dictionary-based word representations and document frequency to improve clue selection. We develop BabelNet-Word Selection Framework (BabelNetWSF) to improve BabelNet clue quality and overcome the computational barriers that previously prevented leveraging language graphs for Codenames. Extensive experiments with human evaluators demonstrate that our proposed innovations yield state-of-the-art performance, with up to 102.8% improvement in precision@2 in some cases. Overall, this work advances the formal study of word games and approaches for common sense language understanding.
Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions

Machine learning (ML) models have achieved widespread adoption in the last few years. Generating concise and accurate explanations often increases user trust and understanding of the model prediction. Usually, the implementations of popular explanation algorithms are highly optimized for a single prediction. In practice, explanations often have to be generated in a batch for multiple predictions at a time. To the best of our knowledge, there has been no work for efficiently generating explanations for more than one prediction. While one could use multiple machines to generate explanations in parallel, this approach is sub-optimal as it does not leverage higher-level optimizations that are available in a batch setting. We propose a principled and lightweight approach for identifying redundant computations and several effective heuristics for dramatically speeding up explanation generation. Our techniques are general and could be applied to a wide variety of perturbation based explanation algorithms. We demonstrate this over a diverse set of algorithms including, LIME, Anchor, and SHAP. Our empirical experiments show that our methods impose very little overhead and require minimal modification to the explanation algorithms. They achieve significant speedup over baseline approaches that generate explanations in a sequential manner.
Forensic storage framework development using composite logic method

Increasing number of information technology users allows possibility for crimes to take advantage of information technology to continue increasing either directly and indirectly. Criminals often use computer devices to commit crimes. This is a major concern so that the need for handling digital evidences becomes significantly urgent. Therefore, a forensic storage framework is required for managing digital evidences. This framework is designed by applying the composite logic method to determine role model of each variable or the initial pattern of the stages to be collaborated. Composite logic produces a role model that is to generate patterns in order to achieve the same goal. This method collaborates framework for handling the pre-existing hdd, ssd, and vmware to be in turn combined into a forensic storage framework. Based on the results of the test, this study proposes a new framework called forensic storage framework which comprises of four main stages, namely preparation, collection, analysis and report. The advantage of this framework is that it can be used to handle digital evidences in four storages which are SSD, HDD, VmWare, and cloud.
Diffusing Entrepreneurial Innovation and Tourism: An Empirical Evidence of Permaculture

Entrepreneurial innovation and tourism are essential factors in the economic growth of a rural agrarian area. This paper's concept is from Schumpeterian creative destructions' philosophical idea to shift rural communities' mentality from the product-based economy to diverse tourism entrepreneurship. In achieving and sustaining the development of permaculture as a platform for rural agritourism, the social capital theory of collectivism was employed to foster the development that would deliver socio-cultural, environmental, and economic benefits to all stakeholders in the community. This paper employed a descriptive research design to analyze the diffusion of entrepreneurial innovation and tourism systematically; also, to interpret the community's attitude towards the diffusion of permaculture for agritourism. Furthermore, interviews were conducted with the key informant group among the women organization. The paper subjected its participants’ through a non-probability sampling method using cluster sampling in the three barangays of the municipality of Bokod, Province of Benguet. The study results show that the respondents were willing to accept the permaculture for tourism and were willing to commit time to develop and manage the Permaculture project. They were motivated to accept and to participate in the project because they knew the values and benefits that permaculture would bring to the community. Also, while answering contingency valuation questions, the respondent thought about the value and benefits the project would bring. This study will enable communities to develop agritourism through permaculture landscapes in the rural community and, help policymakers in planning sustainable projects to support the community in entrepreneurial innovation. &#x0D;
SmartAgriChain: A Blockchain Based Solution for Agri-food Certification and Supply Chain Management

Management of certification issuance and product counterfeit verifications in the Agri-food supply chain are very serious and reaching problems nowadays. The currently existing management systems for this process are either outdated or have significant issues when it comes to security, trust, traceability, management or product certification. The introduction of Blockchain technology, due to its intrinsic properties, has the potential to solve identity, ownership, data temper, traceability and certification issues. This is possible due to the unique identity of each actor and signing verification at each transaction/action. The decentralized nature and constant verification of the chain state also contribute to this security and trust in the system. The proposed solution does not compromise currently existing features, but it will, however, allow all the actors to take part in the Agri-food supply chain system and constantly monitor its actions. The SmartAgriChain project intends to implement a supply chain and certification system based on Hyperledger Sawtooth that will be capable of identity management, hierarchical users/organizations, significant scalability, low costs, low energy consumption and compatibility with legacy systems. In this paper, we will explore and explain the system design and architecture in detail as well as a cost projection based on the number of nodes of the distributed system.
Pengolahan Limbah Cair Tekstil Menggunakan Proses Elektrokoagulasi Dengan Sel Al â€” Al

Wastewater and its problems will emerge where human being have activity, thrown volume household wastewater can reach more than 60%. Industrial wastewater around 30-40%, but is always assumption contributor of biggest environ-mental pollution. Till now many industry not yet doing treating of wastewater to lessen burden of pollutant yielded before thrown to water body. Reason of the core important is operating expenses which is high enough. Pre-treatment like aeration in pond or basin, adding chemicals to precipitated pollutant especially heavy metal which generate color and dangerous ought to earn to be done by every industry. Because continuity produce and the long time pre-treatment of wastewater causing all industrialist unwilling to operate pre-treatment is mentioned.&#x0D; Electrocoagulation is not a new technology, but in Indonesia not yet applied in social activities in its applying. This process modestly and easy to applied good ability in coagulation of pollutant, for organic and inorganic materials. In this research using plate ofaluminium and iron, and also combination from both.&#x0D;
Motivational Factors and Job Performance: The Mediating Roles of Employee Engagement

This research examines the relationship between motivational factors, job performance, employee engagement and the impact of motivational factors on job performance function of employee engagement as a mediator in the government sector in the Sultanate of Oman. A quantitative study methodology was used, and six hypotheses were evaluated using 111 representative government employees from the Ministry of Education. This study is a pilot test. This study uses quota sampling, and Statistical Package for the Social Sciences (SPSS) and path analysis techniques were used for the analysis. The study's findings indicate that these factors have a favorable association, that motivational factors have significant positive relationships with employee engagement and job performance, and that employee engagement acts as a partial mediator in the relationship between motivational factors and job performance. This study is critical for leaders and regulators interested in enhancing job performance in Oman's public sector. This is one of the few studies on the mediating function of employee engagement in the link between motivational variables and job performance. This is the first research of its kind in Oman for the public sector. Other motivational variables could be examined and evaluated in the private sector in Future research.
Speed Reading in the Dark: Accelerating Functional Encryption for Quadratic Functions with Reprogrammable Hardware

Functional encryption is a new paradigm for encryption where decryption does not give the entire plaintext but only some function of it. Functional encryption has great potential in privacy-enhancing technologies but suffers from excessive computational overheads. We introduce the first hardware accelerator that supports functional encryption for quadratic functions. Our accelerator is implemented on a reprogrammable system-on-chip following the hardware/software codesign methogology. We benchmark our implementation for two privacy-preserving machine learning applications: (1) classification of handwritten digits from the MNIST database and (2) classification of clothes images from the Fashion MNIST database. In both cases, classification is performed with encrypted images. We show that our implementation offers speedups of over 200 times compared to a published software implementation and permits applications which are unfeasible with software-only solutions.
STUDENTS’ RESPONSES TOWARD THINK TALK WRITE STRATEGY IN TEACHING WRITING

Writing skill is one of the skills that is difficult to learn because we have to know the correct sentence composition and also what we hear must be in accordance with what we write and therefore this skill is very important to learn. The objective of the research is to identify the sudents’ responses toward think talk write (TTW) strategy in teacihng writing skill. The research used descriptive qualitative design. The respondents of this research were eighth grade students of SMP Pasundan 1 Cimahi. The instrument of this research was questionnaire. The result of data analysis shows that students gave positive responses toward TTW strategy. The respondents agree that TTW strategy can increase students’ motivation, TTW Strategy can help students in improving their writing skill and TTW strategy can make teaching and learning process interesting. Keywords: Writing, Think Talk Write (TTW) Strategy, Student’s Responses
Some subfield codes from MDS codes

Subfield codes of linear codes over finite fields have recently received a lot of attention, as some of these codes are optimal and have applications in secrete sharing, authentication codes and association schemes. In this paper, a class of binary subfield codes is constructed from a special family of MDS codes, and their parameters are explicitly determined. The parameters of their dual codes are also studied. Some of the codes presented in this paper are optimal or almost optimal.
On metrization of the functor of idempotent probability measures

In idempotent mathematics, an analogue of a probability measure on a compactum X is a normed functional µ : C(X) → R, linear with respect to idempotent arithmetic operations. For ordinary probability measures, a meaningful theory of quantization has long been available, which has a wide range of applications (quantization of a measure is called its approximation by measures with finite supports). The question naturally arises of constructing a similar theory for idempotent probability measures. Quantization presupposes the presence of a metric on the space I(X) of idempotent probability measures, compatible with the topology and defining a metrization of the functor I of idempotent measures sensu V. V. Fedorchuk. A version of the metric on the space I(X) was defined in a joint paper by L. Bazilevich, D. Repovs, and M. Zarichnyi when proving that this space is homeomorphic to the Hilbert cube for any infinite metric compactum X. However, the structure of the metric of Bazilevich et al. is too complicated for it to be used for estimating approximations. In this paper, we propose a modified version of the metrization of the functor I, which is more convenient for constructing a theory of quantization of idempotent probability measures.
Predicting E-commerce Item Sales With Web Environment Temporal Background

In this paper, we study the effect of Web environment temporal background in pre-dicting e-commerce item sales, especially those in temporary sales. Temporary sales nowadaysare a popular strategy for quickly clearing inventories. For traditional recommender systems,predicting the sales of an item is done based on its past purchase records. For temporarysales items, however, such records are not available. In order to make recommendation forsuch items, contextual information, such as product descriptions, is usually used. We investi-gate whether temporal background in the Web environment can be additional useful contextualinformation in recommender systems. It is assumed that items consistent with the temporalbackground would have higher demands. We propose a method for representing the temporalbackground using word embeddings of e-commerce activities and social media data, and eval-uate their effect on sales prediction. Through empirical analysis with real-world data, we foundthat temporal background does have positive effects for sales prediction. The findings in thispaper can be conveniently incorporated into future recommender system designs.
THE INFLUENCE OF COMIC STRIPS MEDIA IN TEACHING WRITING SKILL TO THE TENTH GRADE STUDENTS IN CIANJUR

Writing is an important skill for students because it helps them in their life but sometime they have difficulties when they start to writing. Therefore, the teacher must be able to find and use the right strategies for teaching writing activity especially choosing teaching media. One of the media that can be used in teaching writing is comic strips. The objective of this research is to find out whether there is an influence of using comic strips media to improve writing skill in the tenth grade students. This research employed pre-experimental design and used test questions as the instrument. The sample was the tenth grade students in one of SMKN in Cianjur, consisting of 36 students. The research compared the mean of the pre-test and post-test to identify the influence of comic strips media in improving writing skill.
School of Innovators as a Tool for Revealing the Research Potential of Students

The formation of a highly qualified specialist in the educational environment is realized through a number of influences, including active research work. One of the tools for developing the research potential of students at Penza State Technological University (hereinafter referred to as PenzSTU) is the School of Innovators, whose activities are aimed at creating an educational platform for systematic information, methodological and advisory support for youth initiatives, and developing students’ competencies in the field of project activities. Personal and professional qualities that ensure the competitiveness of specialists with higher education in the labor market are formed with a systematic approach to the educational process and research activities. The purpose of the article is to present the experience of organizing and conducting the School of Innovators in PenzSTU and the effectiveness of its activities. Research methodology and methods. The study was conducted on basis of a systematic approach. Systems research means a set of modern scientific and technical problems and developments, which in all their diversity converge in that they consider the objects they study as systems, that is, a set of interrelated elements as a single whole. The analyzed sources were the works of N. V. Barinova, E. A. Pecherskaya, A. A. Chernikova and others. Research methods are analysis of pedagogical and psychological literature, survey, methods of mathematical processing of experimental data. Conclusion. In conclusion, we came to the result, that the activity of the School of Innovators is of great importance, and how it affects the activation of scientific and technical creativity of young people.