Reviewerly/exHarmony huggingface dataset:
Homomorphic Computation of Local Alignment

In this paper we present a homomorphic computation algorithm that finds an optimal local alignment of a pair of encrypted sequences, based on the Smith-Waterman recurrence. Our algorithm also includes an efficient method of finding the location of an optimal local alignment, in order to avoid costly conditional branching in the backtracking. To reduce computation time, we use two level parallel computations: one for filling the entries of the dynamic programming recurrence, and the other for implementing the circuits. To the best of our knowledge, this is the first attempt to compute an optimal local alignment of homomorphically encrypted sequences. With the efficient location retrieval, parallel computations, and a proper HE scheme, our implementation shows good performances in the experiment so as to be useful in practice.
Mobile based library services

The application of mobile phone technology in all aspects of our everyday life cannot be ignored in institutions and establishments including libraries.Therefore libraries in developed economies have embraced the mobile phone revolution and are utilizing them for effective and efficient services.In contrast, however, mobile -based services are not pervasive among academic libraries in India.They are yet to be embraced by academic and research libraries.This paper reports findings of a survey on mobile -based library services in various libraries of India.The aim of the study was to seek the views of users regarding the use of mobile phones in library services.It sought to find whether they would be interested in using such service.
Contract Metadata Identification in Czech Scanned Documents

Although nowadays digital-born documents are generally prevalent, exchange of business documents often consists in processing their scanned image form as a general human-readable format with one-to-one correspondence to paper documents. Bulk processing of such scanned documents then requires human intervention to extract and enter the main document metadata. In this paper, we present the design and evaluation of a contract processing module in the OCRMiner system. The information extraction process allows to combine layout properties with text analysis as input to a rule-based extraction with confidence score propagation. The first results are evaluated with public Czech contract documents reaching the item extraction accuracy of almost 88%.
Information Security Practice of Intelligent Knowledge Ecological Communities with Cloud Computing

With powerful ability to organize, retrieve and share information, cloud computing technology has effectively improved the development of intelligent learning ecological Communities. The study finds development create a security atmosphere with all homomorphic encryption technology, virtualization technology to prevent the leakage and loss of information data. The result provided a helpful guideline to build a security environment for intelligent ecological communities.
Parallel Algorithm for Time Series Motif Discovery on Graphic Processor

A time series motif is a pair of subsequences of the series that are most similar to each other. The problem of motif discovery occurs in a wide range of subject areas: medicine, biology, weather prediction, etc. The paper proposes a novel parallel algorithm for time series motif discovery on GPU for the case when the input data fit in the main memory. The proposed algorithm is based on the MK algorithm, which exploits the Euclidean distance and the triangle inequality to prune clearly unpromised pairs of subsequences without computation of the distance. MK decreases the running time up to several orders of magnitude in comparison to the most serial algorithms. However, the performance of MK decreases significantly when the time series length is greater then hundreds of thousands of elements. We designed matrix data structures that ensure the efficient parallel computations on GPU, and paralleled the calculations through the OpenACC programming technology. The results of experimental evaluation on synthetic and real-world datasets confirmed the high scalability of the developed algorithm.
The Enabling Instrument: Milton Babbitt and the RCA Synthesizer

In this paper, I review some of the claims about electronic sound synthesis and human subjectivity that were made in the name of RCA’s first electroacoustic sound synthesiser, as it was understood by its various sponsors in the American military-industrial-academic-cultural complex. As described by Harry Olson, head of the corporation’s acoustics research division, RCA’s Mark I synthesiser was intended to be ‘a musical instrument with no limitations whatsoever.’ I argue that the promise of RCA’s limitless musical instrument began at the University of Iowa, with an embryonic effort to define and quantify musical talent. When it emerged fully-formed from RCA’s Princeton-based acoustics laboratory, the synthesiser represented Cold War cultural and economic supremacy by channelling wartime innovations in signal processing, information theory, and cybernetics into the service of a booming American entertainment industry. As centrepiece of the Columbia-Princeton Electronic Music Studio, the synthesiser was conscripted by the composer Milton Babbitt to realise an ongoing experiment in art and psychoacoustics, linking twelve-tone composition, information theory, positivist epistemology, and psychoacoustics. Babbitt’s ideas about composition as experimentation, I will suggest, supported a vision of human rather than mechanical potential—and of the autonomous artist as a Cold War liberal, a heroic figure more enduring than RCA’s celebrated machine.
Efficient Decomposition of Bayesian Networks With Non-graded Variables

Elicitation, estimation and exact inference in Bayesian Networks (BNs) are often difficult because the dimension of each Conditional Probability Table (CPT) grows exponentially with the increase in the number of parent variables. The Noisy-MAX decomposition has been proposed to break down a large CPT into several smaller CPTs exploiting the assumption of causal independence, i.e., absence of causal interaction among parent variables. In this way, the number of conditional probabilities to be elicited or estimated and the computational burden of the joint tree algorithm for exact inference are reduced. Unfortunately, the Noisy-MAX decomposition is suited to graded variables only, i.e., ordinal variables with the lowest state as reference, but real-world applications of BNs may also involve a number of non-graded variables, like the ones with reference state in the middle of the sample space (double-graded variables) and with two or more unordered non-reference states (multi-valued nominal variables). In this paper, we propose the causal independence decomposition, which includes the Noisy-MAX and two generalizations suited to double-graded and multi-valued nominal variables. While the general definition of BN implicitly assumes the presence of all the possible causal interactions, our proposal is based on causal independence, and causal interaction is a feature that can be added upon need. The impact of our proposal is investigated on a published BN for the diagnosis of acute cardiopulmonary diseases.
IoT Based Automatic Control of Sun Tracking Solar Panel for High Power Generation

The conversion of sun light into electric energy through solar panels is significant compared to other renewable sources.The energy extracted from the solar panel depends on solar light incident on the solar panel, but the constant variation in the sun's position decreases the power generation efficiency.In order to extract maximal energy, the solar panel should face the sunlight at normal angle throughout the day.Solar tracker tilts the panel towards the sun light direction.The automatic sun tracking solar panel will harness a significant amount of energy from available sun light.Single axis type of solar tracker is used which has one degree of freedom of rotation.Closed loop tracking approach is used with LDR's, an ATmega2560 microcontroller and a DC motor forming the principal components of the circuit model.Based on the signals generated from LDR's, microcontroller provides signals to the motor for tilting the solar panel towards the direction of maximum incident sun rays, which will increase the power generation efficiency.The efficiency of the proposed system is 71%.The information regarding status of solar tracking system is shared through IoT.
Analysis of Flood Vulnerability as a Support to Water Sensitive Urban Design Planning in Klaten Regency

Klaten Regency is one of the regions that has a high level of flood vulnerability. The area of Klaten Regency which is huge and has diverse characteristics makes it difficult to determine an appropriate flood management model. Water Sensitive Urban Design (WSUD) is a model that focuses on handling water management problems with environmentally friendly infrastructure. Therefore, an analysis is carried out to determine the level of flood vulnerability and factors causing flooding to plan a WSUD design that is suitable for each sub-districts of Klaten Regency. The Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods are used to help the analysis. Aspects used as criteria are rainfall, slope, soil type, geological conditions, and land use. Based on the analysis, it could be concluded that Klaten Regency has two sub-districts with high flood hazard category, 21 sub-districts with medium category, and three sub-districts with low category. Bayat and Cawas are sub-districts that have a high level of flood vulnerability category. Meanwhile, Kemalang, Karangnongko and Polanharjo are districts with a low level of flood vulnerability category. The main factors causing flooding in Klaten Regency are slope and land use.
META-ANALISIS PENGARUH MODEL PEMBELAJARAN TEAMS GAMES TOURNAMENT TERHADAP HASIL BELAJAR DI SEKOLAH DASAR

This study aims to describe the use of the Teams Games Tournament learning model towards learning outcomes in elementary schools. The method used in this study is the meta-analysis method. This research begins by formulating the topic to be investigated, then making the formulation of the problem and the purpose of the research, at the next stage collecting relevant articles to collect data. The data was obtained from online journal searches through Google Scholar. The keywords used are "Teams Games Tournament learning model" and "learning outcomes". From the search results there are 10 articles. Data obtained and analyzed again using quantitative methods. Based on the analysis of the Teams Games Tournament learning model with proven to be able to improve student learning outcomes with the significant result after being given treatment that 63.2 compared with the result before give treatment that is equal to 56.21 so thath in increases by 6.99. Keywords: Teams Games Tournament learning model, Learning Outcomes, Elementary School.
Users’ Perception on Interior Design of Tarumanegara Knowledge Center Library

This study aimed to know the users’ perception of spatial planning in the Tarumanagara Knowledge Center (TKC), Library of Tarumanegara University. It was a descriptive quantitative study that relied on the users’ perception on the spatial planning of the knowledge center as the primary sources. While, the sample involved in the study comprised 90 people who visited the knowledge center taken randomly. Data collection techniques used a Likert scale-based questionnaire distributed to the targeted visitors or users. The collected data were then analyzed using a descriptive statistic. The results showed that the user's perception of the principles in the library layout obtained an average score of 3.07 that meant Good. Perceptions of aspects in library spatial planning get an average score of 3.20 that meant Good. Library users' perceptions of patterns in library layout get an average score of 3.14 that meant Good. Library users' perceptions of the spatial library get an average score of 3.18 that meant Good. Library users' perceptions of library space arrangement get an average score of 2.82 that meant Good. While the final score of the overall average of 3.06 that felt into Good category. It can be concluded that Tarumanegara knowledge Center with its spatial planning was able to provide comfortable rooms and facilities that satisfied the users to access available sources.
THE TRANSLATION RESULTS OF GOOGLE TRANSLATE FROM INDONESIAN TO ENGLISH

Google Translate is a free multilingual translation machine developed by Google that can assist translators to make their translation functions easier and faster. The aim of the research is to analyze whether it can be relied on as a substitute for translators. This research used a literature analysis method by analyzing the results of the translated book and machine translation. The result found that it cannot replace translators. It has its limitations, including understanding the context and cultural situation of a nation. Therefore, this machine is useful only in assisting the translation process.
THE PERCEPTION ON THE USE SOCIAL MEDIA IN LEARNING ENGLISH

Abstract The objective of the research to know the perception of fourth semester students of Universitas Muria Kudus on the use social media in learning English. The researcher used descriptive qualitative research and the data was collected by the used of questionnaire. The participants are 50 students of English Education Department of Universitas Muria Kudus. The result showed social media have good perception for the fourth semester students of English Education Department of Universitas Muria Kudus. Social media have provide rich resource to learn English. It is indicate that social media has positive contribution for learning English they are listening, reading, writing and speaking skill.
Optimization of the variational quantum eigensolver for quantum chemistry applications

This work studies the variational quantum eigensolver (VQE) algorithm, which is designed to determine the ground state of a quantum mechanical system by combining classical and quantum hardware. Two methods of reducing the number of required qubit manipulations, prone to induce errors, for the variational quantum eigensolver are studied. First, we formally justify the multiple ℤ2 symmetry qubit reduction scheme first sketched by Bravyi et al. [arXiv:1701.08213 (2017)]. Second, we show that even in small, but non-trivial systems such as H2, LiH, and H2O, the choice of entangling methods (gate based or native) gives rise to varying rates of convergence to the ground state of the system. Through both the removal of qubits and the choice of entangler, the demands on the quantum hardware can be reduced. We find that in general, analyzing the VQE problem is complex, where the number of qubits, the method of entangling, and the depth of the search space all interact. In specific cases however, concrete results can be shown, and an entangling method can be recommended over others as it outperforms in terms of difference from the ground state energy.
Impact of Digital Economy on Intellectual Property Law

Intellectual property is regarded to be the digital economy&amp;#39;s hot issue. It ranges from theoretical arguments to own information concerning everyday life relating to the foundation of internet geography. The current study deals with the impact of the digital economy on intellectual property law and proposes that although various countries have given many intellectual property laws, no such implementation has ever been made. Still, the digital world has witnessed the protection of intellectual law through technical protection and contracts. The digital economy has greatly impacted the intellectual property law that can be witnessed through cyber squatter legislation and significant legal and economic protection developments. The endorsement of business methods patents and e-commerce would significantly affect freedom, computer as well as privacy. However, some of their personal information has been suggested by giving individual property rights while describing it to protect freedom and privacy. In this study, it has also been concluded that policy is critical to conceive and analyze issues so that it would be technology independent. It would help policymakers to draft legislation and policies in the same way. In addition to this, policymakers&amp;#39; decisions should not base on any business model&amp;#39;s specifics only. Moreover, the study suggests the need for other adaptations to ensure that all the essential purposes in copyright laws, such as giving free access to the public for a broader range of information, have been adequately fulfilled in the digital economy context. However, such adaptations are yet to design, and for completing such tasks, the stakeholders&amp;#39; participation is significant.
A Cryptocurrency-based E-mail System for SPAM Control

Sending bulk e-mail is commercially cheap and technically easy, making it profitable for spammers, even if a tiny percentage of recipients falls for the attacks or turn into customers.Some researchers have proposed making e-mail paid so that sending bulk e-mail becomes expensive, making spamming unprofitable and a futile exercise unless many victims respond to spam.On the other hand, the small sending fee is negligible for legitimate e-mail users.Making e-mail paid is a challenging task if implemented using a conventional payment system or developing new cryptocurrencies.Traditional payment systems are challenging to integrate with e-mail systems, and new cryptocurrencies will have challenges in adoption by users on the required scale.This work proposes using cryptocurrency payments to make e-mail senders pay for sending an e-mail without creating a new cryptocurrency or a new blockchain.In the proposed system, the recipients of the e-mail can collect the payments and use the collected revenues to send e-mail messages or even sell them on an exchange.The proposed solution has been implemented using Ropsten, an Ethereum Test Network and tested using enhanced E-mail Client and Server software.
Kidney Disease Diagnosis in Human Using the Backward Chaining Method

&#x0D; Kidney disease is a disease that must be avoided by everyone. Because this disease is difficult to detect and often threatens a person's life. The problem that often occurs is that the kidneys are not functioning properly, so the body does not try to reject enough water, salt, and other materials that can cause death unless the treatment is analyzed. An accurate analytical ability is needed in determining the diagnosis of a person's kidney condition. But with the convenience of expert doctors, sometimes there are also disadvantages such as limited working hours (training) and the number of patients so they have to wait in line. The backward chaining method is an inference method that performs the search process starting from the goal, which is the conclusion of the solution to the problem at hand. Stages that must be done is to find a set of data or facts, from the facts sought conclusions that are the solution of the problem at hand. The system can be run if the user chooses a disease and chooses the symptoms that are felt and then gets a diagnosis and a solution, and medication. &#x0D;
Blockchain Technology for Tracking and Tracing in Supply Chains: A Critical Viewpoint

Tracking and tracing (TnT) in supply chains (SCs) is often mentioned as a very promising area of application for blockchains.At the same time, there is also much reticence and even disillusionment in practice.In this context, we present a literature metareview and discuss the advantages and disadvantages of using blockchains in SCs.We find that public permissionless blockchains offer new functionalities (e.g.pseudonymity), which however are often not desired.Moreover, a blockchain loses value in the context of SCs because there is a physical level (goods) in addition to the digital level (information) and these two levels do not necessarily match.Furthermore, we present a survey of TnT solution providers, which indicates that there are complexity and collaboration problems in supply chains that even a blockchain cannot alleviate.Nevertheless, the surveyed experts generally have a positive attitude towards the blockchain and are willing to give it a chance.
Revisiting Clustering as Matrix Factorisation on the Stiefel Manifold

This paper studies clustering for possibly high dimensional data (e.g. images, time series, gene expression data, and many other settings), and rephrase it as low rank matrix estimation in the PAC-Bayesian framework. Our approach leverages the well known Burer-Monteiro factorisation strategy from large scale optimisation, in the context of low rank estimation. Moreover, our Burer-Monteiro factors are shown to lie on a Stiefel manifold. We propose a new generalized Bayesian estimator for this problem and prove novel prediction bounds for clustering. We also devise a componentwise Langevin sampler on the Stiefel manifold to compute this estimator.
УЛОГА НАСТАВНИКА У ОСТВАРИВАЊУ КВАЛИТЕТНОГ ОБРАЗОВНОГ ПРОЦЕСА

Changes in the educational process caused by different social changes require teachers to continue to reassess their role in the educational and teaching processes. According with that, literature increasingly discusses the essence of teachers’ roles, their methods in the teaching process, and as well as the degree of achievement of the professional role of teachers as one of the key factors in the quality education process. Different approaches of the authors, insisting on a clear differentiation of teacher’s roles, different criteria for differentiation, includes a large number of divisions and classifications of teachers’ roles in pedagogical literature. These often include a great number of teaching roles. In this paper, based on the analysis of the different categorisations of teachers’ roles and didactic theories, the emphasis is placed on the essence of the teaching role seen in the context of the processes and work of teachers in the educational process, whose quality is reflected in the degree of student achievement. In this regard, what is pointed out here is the significance of the teacher’s role in planning and preparing classes, motivating students, developing their interest in learning the content, as well as in the realization of quality communication and interaction between teachers and students.
A Theory of Coordination: From Propositions to Hypotheses in Agile Software Development

Coordination is crucial in agile software development projects and a Theory of Coordination in co-located agile software development projects explains coordination in this context.This theory has propositions based on case study research.To improve the generalisability of theory built from case studies, researchers often transition to a theory testing phase involving a large-scale field study using the survey method.Prior to a large-scale field study, the propositions generated during theory building must be converted to testable hypotheses.There is little guidance explaining the complexity of this transition process and the challenges involved.Therefore, this paper explains the operationalisation process of transitioning from research propositions to research hypotheses and illustrates the process using the Theory of Coordination.The paper offers six practical guidelines, identifies seven challenges encountered, and potential solutions for each challenge.This paper contributes to agile software development and theory testing research offering seven recommendations for research practice.