Reviewerly/exHarmony huggingface dataset:
Unsupervised Separation of Native and Loanwords for Malayalam and Telugu

Quite often, words from one language are adopted within a different language without translation; these words appear in transliterated form in text written in the latter language. This phenomenon is particularly widespread within Indian languages where many words are loaned from English. In this paper, we address the task of identifying loanwords automatically and in an unsupervised manner, from large datasets of words from agglutinative Dravidian languages. We target two specific languages from the Dravidian family, viz., Malayalam and Telugu. Based on familiarity with the languages, we outline an observation that native words in both these languages tend to be characterized by a much more versatile stem - stem being a shorthand to denote the subword sequence formed by the first few characters of the word - than words that are loaned from other languages. We harness this observation to build an objective function and an iterative optimization formulation to optimize for it, yielding a scoring of each word's nativeness in the process. Through an extensive empirical analysis over real-world datasets from both Malayalam and Telugu, we illustrate the effectiveness of our method in quantifying nativeness effectively over available baselines for the task.
Research Data Management at CERN

This chapter is the first of the two in this book documenting experiences with implementing open data.Specifically, it outlines the practices of research data collection, processing, curation, and release as open data.Some early examples of the use of open data are also provided.The chapter includes:1. Organisational approaches to research data management 2. Research data management at CERN and looking after research data, whatever form it may take (Cambridge) [256].Universities acknowledge the key benefits of data sharing for the conduct of science and the benefits for researchers.Some point to successful case studies, and others state that research data represents a significant investment of money, effort, resources, and time (Princeton) [257].At this stage, most universities tend to view RDM as a short-term function spanning the duration of research projects.Taken as a whole, most of the reasons (and incentives) for universities now to implement the RDM function appear to be external.This was the case for such wellknown universities as Cambridge, 1 Oxford, 2 Harvard [258], Princeton, 3 Stanford [259], Yale, 4 Cornell [260], and Johns Hopkins, 5 as well as the research-intensive Group of Eight universities in Australia. 6Some less well-known universities-such as Purdue University in the United States and the University of Edinburgh, home to the Digital Curation Centre-seem to have developed more advanced expertise in RDM and so view data preservation as an integral part of their own research processes.Purdue, Yale, and Cornell have also developed data preservation strategies 7 that set out expectations and limit on data preservation and maintenance-including content migration and software and hardware dependency preservation.Notwithstanding their operating constraints and technological limitations, some of these universities state that preserving the underpinning publications with the data is a high priority, along with any stand-alone data publications and datasets with high research value. 8However, these policies do not go further to spell out the processes for internal decisions about what is worth preserving.The experiences with RDM at universities are at early stages.Yet librarians have already positioned themselves as the key players in the RDM process-they link a project's lifecycle to data management because the techniques used by librarians slot nicely into the different parts of the data lifecycle.The six stages of the matrix (Figure 3) 9 make up a cycle, with the expectation that data curated by universities will be reused in future research projects.While this data cycle provides a simplified view of RDM, it appears adequate for the purposes of assisting researchers to manage 1 The University of Cambridge defines the stages of RDM as creating, organising, accessing and looking after data. 2 RDM at Oxford includes planning how research data will be looked after, how researchers deal with information on a day-to-day basis over the lifetime of a project, and what happens to the data in the longer term (http://researchdata.ox.ac.uk/home/introduction-to-rdm/).
James P. Adams Library: Open/Open-Enabled Pedagogy: Open Projects

Subjects: Open Access, Open Educational Resources & Open Textbooks Tags: oer, oer-enabled pedagogy, open, open collaboration, open educational resources, open pedagogy, open p
Modality and folk psychology

The connection of the modern psychology and formal systems remains an important direction of research. This paper is centered on philosophical problems surrounding relations between mental and logic. Main attention is given to philosophy of logic but certain ideas are introduced that can be incorporated into the practical philosophical logic.&#x0D; The definition and properties of basic modal logic and descending ones which are used in study of mental activity are in view. The defining role of philosophical interpretation of modality for the particular formal system used for research in the field of psychological states of agents is postulated. Different semantics of modal logic are studied. The hypothesis about the connection of research in cognitive psychology (semantics of brain activity) and formal systems connected to research of psychological states is stated.
RESEARCH ON CORS (CONTINUOUSLY OPERATING REFERENCE STATION) SYSTEM-BASED REGIONAL WATER VAPOR RETRIEVAL IN GUILIN

Abstract. This paper was aimed at analyzing and verifying each of the parameter settings in the computing process of GAMIT. The optimum number of introduced auxiliary station was determined, and models for the weighted mean temperature of the atmosphere in Guilin were established. Under the underlying strategy of introducing all the respective most optimum criteria, the precipitable water vapor (PWV) was first calculated by using the data provided by the CORS base station in Guilin, before analyzing and comparing it with the PWV and actual precipitation obtained from the sounding data. According to the result, a high degree of coincidence was discovered among the general trend of the following three indicators: the calculated PWV, as well as the PWV and actual precipitation acquired using the sounding data, hence offering a significant value for reference in terms of extreme weather warning.
Generating satisfactory terrain by terrain maker generative adversarial nets

Generative Adversarial Networks (GANs) is one of the most promising generative model in recently years. In this paper, we proposed a model called terrain maker Generative Adversarial Networks (TMGAN). It differs from the original GANs in three points: first, based on given topographic map, TMGAN can generate corresponding satellite aerial map, and vice versa. Second, TMGAN can modeled the terrain adaptively. Third, TMGAN can predict the height map of surface environment. We collected two data sets of paired and unpaired topographic maps and satellite aerial maps to train our model and test the influence of hidden variables. In this paper, we demonstrate the three-dimensional modeling ability of TMGAN.
Description of Reasons of People to Work as Government Employee

The Indonesian society are still put respect and hope higher to one profession’s who work at the government agencies, in Indonesia they are known as Aparatur Sipil Negara (ASN). Based on this reason, the Indonesian government urged to have a new paradigm in recruiting their employees. By knowing factors that drives someone to choose ASN as their profession the government can get expertises both in skill and scholarly. This study has resulting some factors that affect respondents to join ASN such as their: current job, parent’s job, pension factor, low work load, and lastly proud. Their willing to join ASN mostly not affected by their: gender, present allowances, not because working as an ASN will be relaxed, not because of the allowance available, not because of their parents’ demand nor no dismissal. Respondents will not join the ASN because lack of fighting spirit and struggles. They will not join ASN because of lack of creativity, not because of bounded, not because hard resignation, not because of slow carier path nor the low salary rate. Among those factors which affect respondents to join ASN or not affecting is their present job. If their present job is not ASN or jobless, then the probability to become an ASN is 41.3%. If their present job is ASN or college students then the probability of desire to be ASN is 84.4%. The profile of the respondents who are desired to be ASN observed from Tree Diagram. The method used in this study are Crosstab and Classification Tree.
Financial Resources For Ngos

This paper aims at giving a perspective of the role that NGOs play in the society and economy, the financing opportunities that Romanian NGOs have and the way they take advantage of these opportunities in order to grow and have impact in society. The studies on financial behavior in Romania reveal that the income sources of the non-governmental organizations became diversified during the last years, the most significant financial incomes for NGOs remaining grants or contracts from the European Union and from foreign or international foundations. But in the same time, the analyzed data reveal that the changing legislation has a significant influence on the financing trends of NGOs.
Blockchain is vulnerable against classic database approach

Blockchain has been used in many applications: financial services including virtual currency like Bitcoin, asset management, insurance services, government, and health care.We believe that a blockchain is resistant to modification of the data where each block uses a cryptographic hash.SHA256 is a hashing function used in the blockchain.We also believe that SHA256 cannot be reversed because it's a one-way function.However, as long as two keywords used in the blockchain-based system, it is reversible by using classic database approach from a hash string to two keywords without cracking SHA256 algorithm.This paper demonstrates how to reverse a hash string to keyword(s).The proposed database approach simply defeats its design goal of the blockchain without cracking the algorithm as long as the database can be created.This paper recommends that three or more keywords of the hash function SHA256 should be used for user account access in the blockchain-based systems.
Generating clause sequences of a CNF formula

Given a CNF formula $\Phi$ with clauses $C_1,\ldots,C_m$ and variables $V=\{x_1,\ldots,x_n\}$, a truth assignment $a:V\rightarrow\{0,1\}$ of $\Phi$ leads to a clause sequence $\sigma_\Phi(a)=(C_1(a),\ldots,C_m(a))\in\{0,1\}^m$ where $C_i(a) = 1$ if clause $C_i$ evaluates to $1$ under assignment $a$, otherwise $C_i(a) = 0$. The set of all possible clause sequences carries a lot of information on the formula, e.g. SAT, MAX-SAT and MIN-SAT can be encoded in terms of finding a clause sequence with extremal properties. We consider a problem posed at Dagstuhl Seminar 19211 "Enumeration in Data Management" (2019) about the generation of all possible clause sequences of a given CNF with bounded dimension. We prove that the problem can be solved in incremental polynomial time. We further give an algorithm with polynomial delay for the class of tractable CNF formulas. We also consider the generation of maximal and minimal clause sequences, and show that generating maximal clause sequences is NP-hard, while minimal clause sequences can be generated with polynomial delay.
Convolutional Model with Classification through Izhikevich Neuron

This paper presents the fusion of two paradigms of neural networks: the Convolutional Neural Networks from deep learning and the third generation Izhikevich neuron.This fusion has the purpose to replace the multilayer perceptron layers, that usually represent a computational cost and a large training time, for a paradigm created to classify with a single neuron.The experimentation is carried out in the classification domain, predicting the directions of rotation in a simulator of self-driven vehicles.The experiments show similar results to the multilayer perceptron model in the evaluation metrics but the training time is reduced.
Study of Reliability of Object-Oriented Structure Consuming CK Metrics

The Object Oriented demonstrates present the innovation to make segments to facilitate container be utilized for universal training. Structure multifaceted natures have be envisioning assuming a solid job in the nature of the subsequent programming framework in Object Oriented improvement conditions. Here manuscript provide the structure of while measure from the code go well with of measurements and assessment to the particular measurements with the goal that these measurements ought to reflect precise and exact outcomes for protest situated based frameworks. Additionally, a deposit of latest measurements is suggested to facilitate be able to discover the effect on Reliability of a set by utilizing the mix of one while measure from the code metric through one more Measurements.
Jittering Samples using a kd-Tree Stratification

Monte Carlo sampling techniques are used to estimate high-dimensional integrals that model the physics of light transport in virtual scenes for computer graphics applications. These methods rely on the law of large numbers to estimate expectations via simulation, typically resulting in slow convergence. Their errors usually manifest as undesirable grain in the pictures generated by image synthesis algorithms. It is well known that these errors diminish when the samples are chosen appropriately. A well known technique for reducing error operates by subdividing the integration domain, estimating integrals in each \emph{stratum} and aggregating these values into a stratified sampling estimate. Naïve methods for stratification, based on a lattice (grid) are known to improve the convergence rate of Monte Carlo, but require samples that grow exponentially with the dimensionality of the domain. We propose a simple stratification scheme for $d$ dimensional hypercubes using the kd-tree data structure. Our scheme enables the generation of an arbitrary number of equal volume partitions of the rectangular domain, and $n$ samples can be generated in $O(n)$ time. Since we do not always need to explicitly build a kd-tree, we provide a simple procedure that allows the sample set to be drawn fully in parallel without any precomputation or storage, speeding up sampling to $O(\log n)$ time per sample when executed on $n$ cores. If the tree is implicitly precomputed ($O(n)$ storage) the parallelised run time reduces to $O(1)$ on $n$ cores. In addition to these benefits, we provide an upper bound on the worst case star-discrepancy for $n$ samples matching that of lattice-based sampling strategies, which occur as a special case of our proposed method. We use a number of quantitative and qualitative tests to compare our method against state of the art samplers for image synthesis.
TEACHING LISTENING COMPREHENSION BY USING INTERACTIVE LISTENING CLASSROOM PERFORMANCE

The problem of the research discussed in this study â€œIs it effective to teach listening comprehension by using interactive listening classroom to the first semester students of I.b class of English Education Study Program-PGRI University Palembang?â€ Based on the problem, the writerâ€™s objective of the study was to find out whether or not it is effective to teach listening by using interactive listening classroom performance to the first semester students of I.b class of English Education Study Program-PGRI University Palembang. In this study, the method was used the pre experimental design with the one group pre-test and post-test. The population of this study was the first semester students of English Education Study Program-PGRI University Palembang. The sample of this study was Ib consisted of 34 students the sample was taken by using purposive non random sampling the data were collected and analyzed by means of two statistical analyses, Matched t-test and percentage analysis. The finding of this study showed that the average score in pre-test was 51.91 and the average score in post-test was 84.11, the result of matched t- test was 14.70, which exceeded the critical value ( 1.697 ). It means that null hypotheses (Ho) was rejected and alternative hypotheses (Ha) was accepted. So teaching listening comprehension by using interactive listening classroom performance was effective.
Enhancement RC4 Algorithm Based on Logistic Maps with Multi-Parameters

This paper aims at overcoming the shortcomings of RC4 (Rivest Cipher 4) algorithm that mainly resides in the "key scheduling algorithm" (KSA) of RC4. This paper is a trial to enhance key generation of RC4 on the basis of logistic maps with multi-parameters named (EKSA), the permutation of array of S improved to base of the generator for the random numbers that depend on three logistic maps with two parameters, three parameters and four parameters, the suggested algorithm result the follow : outcome = T ⊕ generated key ⊕ value that is random from EKSA (Lm4p (w)) The secrecy is tested for the enhancement RC4 with EKSA, in addition to the arbitrariness and variable key size effectiveness and different size of the plaintext regarding to those of the original RC4.The outputs display that original RC4 with KSA is less powerful than the the enhancement RC 4 with EKSA.
AUXILIARY SAMPLING TECHNOLOGY AND SYSTEM FOR MASS SURVEYING AND MAPPING RESULTS ORIENTED TO QUALITY INSPECTION GOALS

Abstract. Based on the requirements of quality supervision inspection for national surveying and mapping, this paper has carried out research on sampling and auxiliary sampling technology and sampling system for quality inspection targets for different objects and different types of surveying results. The study designed the quantitative random sampling scheme of the random inspection objects considering the principle of supervision and spot check of surveying and mapping quality. It also designed the stratification scheme of surveying and mapping results under different quality inspection targets and object conditions, and the stratified adjustment scheme with prior quality information. Based on the above scheme, the national surveying and mapping supervision inspection sampling system based on the project rolling pool and the stratified random auxiliary sampling prototype system for the quality inspection target of surveying and mapping results are implemented. In recent years, they have been widely used in the national surveying and mapping geographic information supervision inspection and surveying and mapping results quality inspection, which guaranteed the scientific and reasonable determination of surveying and mapping quality supervision inspection objects, and solved problems in the quality inspection of surveying results, such as unreasonable stratification in manual sampling, and inevitable error in random sampling. This is of great significance for further improving sampling efficiency, reducing sampling error, reducing sampling risk, and promoting informatization of quality inspection.
An Efficient Permissioned Blockchain with Provable Reputation Mechanism

The design of permissioned blockchains places an access control requirement for members to read, access, and write information over the blockchains. In this paper, we study a hierarchical scenario to include three types of participants: providers, collectors, and governors. To be specific, providers forward transactions, collected from terminals, to collectors; collectors upload received transactions to governors after verifying and labeling them; and governors validate a part of received labeled transactions, pack valid ones into a block, and append a new block on the ledger. Collectors in the hierarchical model play a crucial role in the design: they have connections with both providers and governors, and are responsible for collecting, verifying, and uploading transactions. However, collectors are rational and some of them may behave maliciously (not necessarily for their own benefits). In this paper, we introduce a reputation protocol as a measure of the reliability of collectors in the permissioned blockchain environment. Its objective is to encourage collectors to behave truthfully and, in addition, to reduce the verification cost. The verification cost on provider $p$ is defined as the total number of invalid transactions provided by $p$ and checked by governors. Through theoretical analysis, our protocol with the reputation mechanism has a significant improvement in efficiency. Specifically, the verification loss that governors suffer is proved to be asymptotically $O(\sqrt{T_{total}})$ ($T_{total}$, representing the number of transactions verified by governors and provided by $p$), as long as there exists at least one collector who behaves well. At last, two typical cases where our model can be well applied are also demonstrated.
Analisis Pola Pertumbuhan Arsitektur Bisnis Sekolah Berdasarkan CMM

School is an educational institution established by the government / private sector with age-appropriate levels. Every school has a business process, such as the admission process for new students, the teaching and learning process by students and teachers, the process of supporting facilities for educational processes, is the pattern of every set of business process architecture in the school. Each school needs standardization which is continuously improved to match the national school standard (SSN) that has been set by the government in Government Regulation No. 19 of 2005. Good school standardization can be seen from the growing patterns of business architecture with high complexity, in mark the number of students, integrated teaching curriculum, and complete infrastructure to support school activities. So in this study, conducting an analysis of the growth patterns of business architecture in schools in order to facilitate decision making and as a reference in the education process so that schools can be well standardized, by measuring the level of maturity of the capabilities of processes in the architectural pattern of school business processes using Capability Maturity Model (CMM), the result of this study is an analysis of the growth patterns of school business architecture with the maturity of business process patterns in accordance with national school standards, which can provide information as a support in business process activities in schools
Teacher Student Relationship & its Correlation with Behavior Change in Ancient Era

This paper is going to throw light on the aspect of behavior changed the way of teaching and learning from Ancient education. The teacher student relationship & teaching techniques of ancient era creates a big change in education system. In Ancient India there was different education system-1. Gurukul education System, where pupils live with their guru and help them in their daily chorus and Guru taught them about Spiritual, Religious and Vedas in open environment. In Gurukul education system pupils belonging to different castes were educated. 2. Education in Medieval India: After the Islamic invasion of India education system has changed. The rising influence of Islam led to establish of Madrassa for Muslims and Vedic Schools for Hindus. 3. Education in Colonial Period: British stress on English (missionary) schools.