Reviewerly/exHarmony huggingface dataset:
Threshold-Based Widespread Event Detection

Widespread event detection is a fundamental network function that has many important applications in cybersecurity, traffic engineering, and distributed data mining. This paper introduces a new probabilistic threshold-based event detection problem, which is to find all events that appear in any w-out-of-a monitors with probabilistic guarantee on false positives, where a is the total number of monitors and the threshold w(≤ a) is a positive integer parameter that can be arbitrarily set, according to specific application requirements. We develop an efficient threshold filter solution and its improved versions, which combine Bloom filters, counting Bloom filter, threshold filter and compressed filters in a series of encoding and filtering steps, providing tradeoff between detection accuracy and communication overhead. We theoretically optimize the system parameters in the proposed solutions to minimize the communication overhead under the constraint of probabilistic detection guarantee. Extensive simulations demonstrate the practical viability of the proposed solutions in their ability of finding widespread events in a large network with few false positives and low communication overhead.
New study practices. Survey on the use of new and old technologies among university students

ABSTRACT In a context of “widespread communication”, supported by new tools and work environments, study practices also change, profoundly transforming students’ habits and behaviors. The research in question intends to investigate and describe, through a narrative inquiry process, the study practices of university students, making reference to the integrated use they make of old and new modes of communication, of traditional texts and of digital platforms and tools among the most famous and widespread. The research focuses in particular on the relationship that, through the new tools, is established between the student and the teacher, between the student and colleagues and between the student and the study texts. The analysis aimed at describing new habits, will try to demarcate advantages and difficulties related to the use of digital and to analyze, specifically, how the use of new communication methods or new forms of textuality can favor or inhibit communication within the university environment.
The Respondent’s Haptic on Academic Universities Websites of Pakistan Measuring Usability

This study based on survey, by using four higher educational (Universities) websites were selected for the usability testing with the help of response to the experience of eighty students of same age group and investigated to make pre-survey and post-survey based on an eight questionnaire for websites usability.The source for the survey was Laptops of windows 8.1 operation system used.The questionnaires were depends on two factors: one factor contains gender, nationality, respondents and second factor contains strongly agree, Agree, Undecided, Disagree, Strongly Disagree.The factor structure replicated across the study with data collected during usability test respectively in survey.There was evidence of usability with existing questionnaires, including the website usability testing by applying guidelines of webcredible.The overall results were acceptable and more meaningful for future researchers and webdevelopers.The questionnaire can be used to understand of websites quality and how well websites work.
Quadratic based Caches Mapping Technique

Cache mapping is a technique used by CPU for storing various copies of data from main memory to the cache memory to minimize the mean time to obtain memory. Distinct cache mapping techniques have various mapping results rely on the cache hit or cache miss ratio changes with respect to corresponding mapping. In this paper, the work is carried on evaluating the combinatorial cache memory through simulation programs and also to discover the best one among the mapping from the obtained evaluation results. Moreover, this work aims to serve the chip designer to find the outcome over a cache memory simulation program. This evaluation work will help us to evaluate different cache mapping methods and will also help us to analyze and find out the pros and cons of mapping scheme.
Modeling and Analysis of a Rocker-Bogie System to Improve its Performance

Rocker bogies are fairly well used by many organizations like NASA, Military and Exploration channels like the National Geographic. Over the past decade NASA has built several roves with the rocker-bogie design due to the fact that it has become a proven mobility application known for its superior vehicle stability and obstacle-climbing capability, the most famous one being the Curiosity rover sent to Mars in 2011, and another one sent to land on an asteroid of interest. But current rocker bogie's designs are complex, costly and prone to mechanical failures. The current designs employ a six-wheel design which has a few drawbacks addressed in this report. Based on the well-known rocker-bogie suspension system, this report has specifics how the design of the original rover was tweaked and modified to significantly improve its functional and nonfunctional features in mainly three areas namely the stability, speed, and load-bearing capability. This work was based on findings on total deformation, Equivalent elastic strains and Equivalent stress acting on the proposed design. Extensive work has been done on areas like design, material selection, and operational features. The major one was the addition of an extra set of wheels which helped to maintain continuous contact with the ground. It has helped to increase required frictional force also. Some other non-functional features like a wireless camera addition and Bluetooth control support have also been added for increased functionality. CATIA was used for part modeling and assembly while Ansys was used for meshing and analysis.The maximum increase of up to 41 % was observed in structural stability in the proposed design.
Enhancing Ontology by Integrating Facts from Unstructured Data and Mapping with Linguistic Knowledge

Ontology plays a crucial role in the growth of semantic web by providing a domain-knowledge resource comprehensible to both humans as well as computers.Knowledge resources can be of two types-taxonomical knowledge supporting description logic in the form of ontology representing a particular domain and linguistic knowledge.An approach is presented in this paper for constructing a third type of knowledge resource(Hybrid) that accommodates variations in the structure as per RDF triple extracted from unstructured corpus and subsequently semantically associating ontological concepts with their linguistic counter-part.The purpose of this knowledge base is to add linguistic expressiveness to conceptual knowledge and to accommodate the dynamic nature of knowledge.Semantic similarity and term coverage are computed between terms(concepts).A case study i.e enhancing a dengue ontology by incorporating RDF triple extracted from patients' case sheets and semantically associating concepts with WordNet by using similarity and relatedness measures is presented.
Bayesian Finite Mixture Negative Binomial Model for Over-dispersed Count Data with Application to DMFT Index Data

To establish viable statistical model for modelling and analyzing DMFT index data which is important in oral health studies, difficulty arise when DMFT index data is characterized by over-dispersion.Over-dispersion caused by unobserved heterogeneity in the data pose a problem in fitting more common models to this data.and failure to account on such heterogeneity in the model can undermine the validity of the empirical results.The limitations of other count data models to account for overdispersion in DMFT index data due to existence of heterogeneity in the data, this paper formulated alternative model that captures heterogeneity in the data, that is Bayesian Finite mixture negative binomial regression model and the model applied to simulated overdispersed count data to determine the exact number of negative binomial components to be mixed and finally apply the model to DMFT index data.Bayesian finite mixture Negative Binomial (BFMNB-3) regression model is useful since the data were collected from heterogenous population.simulation results shows that 3component Bayesian finite mixture of NB regression model converges and was quite enough to model the overdispersed simulated count data, applying BFMNB-3 model to DMFT index data, the model capability to capture heterogeneity in the data identifies that the methods; all the treatment (all methods together), mouth wash with 0.2% sodium fluoride and Oral hygiene were the best methods in preventing tooth decay in children in Belo Horizonte (Brazil) aged seven years this shows that BFMNB-3 performs better than BNB model were due to heterogeneity present in methods it only identifies methods; all the treatment (all methods together) and mouth wash with 0.2% sodium fluoride to be the best methods for preventing tooth decay for children in Belo Horizonte (Brazil) aged seven while this two methods were not the only significant methods, therefore from results there is complete superiority of BFMNB-3 over BNB model.R statistical software was used to accomplish the objectives of this paper.
CODE-MIXING IN LANGUAGE STYLE OF SOUTH JAKARTA COMMUNITY INDONESIA

The purpose of this paper is about to investigate of Code-Mixing appeared in South Jakarta Community while this community having chat each other through social media, WhatsApp and Twitter. The phenomenon of Code-Mixing and Code-Switching in Indonesia became viral in last September. The used of code-mixing helps them to communicate with others, because not all the people can use the language properly. So that, learning about language is really needed. It will increase their vocabularies whether in Bahasa or English. Also, there are few reasons why the community applies the code-mixing in the daily activities. The writer uses the method of qualitative-description research which is done by the writer by getting involved in the community of social media, having the library and internet research with the relevant sources, and collects the data to be analyzed also describes by explaining the result of the research. The conclusion of the research is by the often using of Code-Mixing, the people indirectly increase their vocabularies. This phenomenon influenced many people to start to apply the Code-Mixing
The Concepts of Philosophy of Information by Luciano Floridi

The aim of this paper is to update the basic principles of L. Floridi’s philosophy of information for scientific research in the field of library and information science.The theory of philosophy of information by L. Floridi provides a philosophical justification for the processes of computerization, information technology in the field of fundamental, technical, humanities, socio-economic knowledge, and in particular, in library and information science.Research methodology. The authors have used systematic and descriptive methods of research, as well as problem analysis to explore the basic concepts of philosophical information of L. Floridi and actualise it for scientific investigations in library and information science.Results. Key concepts of the philosophy of information by L. Floridi are the provisions on information semantics, the study of reasonableness and links between information and nature, the study of values. Important aspects of the philosophy of information are concepts: the reliability of information, according to which knowledge, truth, semantics exist in the form of models; the relationship between human nature and the information society; the relationship between the concepts “infosphere” and “universe”; features of information ethics. The issues of library and information science are based on the principles of the philosophy of information: any essence of the Universe is an information object and each of them is a data structure; information object can be any entity of living and non-living nature, objective and virtual reality, physical or cognitive, intellectual sphere of activity; the Universe as a set of information objects is characterized by fundamental kindness, which is not dependent on ethical judgments of human.Novelty. The basic concepts of the theory of the philosophy of information by L. Floridi, which are relevant in the field of library and information science, are identified.The practical significance. The key concepts of this research can be used in scientific research, should be reflected in the system of competences, and formulated in the standards of higher education of Ukraine, in the educational and methodological provision of educational disciplines for the training of specialists in the speciality “Information, Library and Archive Science”.
PENGARUH MODEL PEMBELAJARAN TWO STAY TWO STRAY TERHADAP HASIL BELAJAR SEJARAH DI SMA NEGERI 7 MEDAN

This study aims to determine the effect of the application of the Two Stay Two Stray learning model (TSTS) to the history of student learning outcomes at SMA Negeri 7 Medan. The research method used is quasi-experimental. The study population was students of class X IPS with a sample of 65 students consisting of 34 students of class X IPS 2 as an experimental class and 31 students of class X IPS 1 as a control class. Data collection techniques using observation and tests. The data obtained were analyzed using the t-test. The observation results showed that 91% of the experimental class students who took part in learning with the TSTS model got very good average scores. The average post-test value of the experimental class was 80.3, while the average value of the post-test of the control class that followed the learning with the conventional model was 63.70. T-test results for the post-test scores were obtained tcount &gt; ttable (7,004 &gt; 1,670).These results indicate that the TSTS learning model has a great influence in improving the history of student learning outcomes in class XI IPS 2 SMA Negeri 7 Medan.
The prototype of decision support system in condition infant detection with Fuzzy Tsukamoto

The baby’s condition is a condition that is vulnerable to environmental changes, especially weather changes. Knowledge of a mother in maintaining the health of baby also should be considered, especially in terms of nutritional intake. A healthy baby's condition affects the baby's growth and development. The development of a decision support system should be preceded by collecting and analyzing the data according to need. In this study, the variables were baby feeding items, namely Body Temperature (37.70c), Fuss (2.4), Restless (4.5), frequent bowel movements (3.7), watery bowel movements (5.6), Bloating (3.5), Nausea (3.7), vomiting (3.2) , Stomachache (2.7) and Itchy Skin (2.8). The results of the calculations will result in defoliation as follows: Measles (1:48), septic (1:48), diarrhea (1:48), ISPA (7:36), enteritis (0.77), Miliary (1:48), OMP (1:48) and varicella (1:48). The range of fuzzy values ranges from 0 to 1, indicating the baby has enteritis or stomach problems. The calculation of defuzification obtained result of 8.1, so the condition of the baby is very sick and should be handled immediately by bringing to the medical personnel.
Making Monero Hard-to-Trace and More Efficient

Most cryptocurrencies have successfully provided anonymity in a permissionless environment. However, the pattern of transfers is open to publicity. To face this issue, Monero was proposed to provide untraceability from ring signatures by introducing mixins to obfuscate addresses. By temporal analysis, however, the transfer pattern can still be partially revealed in a stochastic approach due to inappropriate selections of mixins. Thereby, each flow of coins can be traced with high probability which disobeys the untraceability principle of Monero. In this work, we propose a hard-to-trace protocol based on Monero where each transaction output is assembled into a fixed ring set. In this way, inappropriate mixins are forbidden, and thereby the temporal analysis is resisted. Apart from the traceability issue, Monero is also challenged due to its growing difficulty of block assembly. To guarantee the privacy, "key images" with a considerable size have to be stored by each miner to verify transactions and assemble blocks. As blockchain grows, the number of key images increases and a significant burden has already been caused, making the block assembly of Monero inefficient to most miners. Aimed at a more practical block assembly, our protocol allows key image truncations to facilitate transaction verifications.
Research on Improved Algorithm of Hourly Diffuse Radiation Model

In this paper, the hourly solar radiation data of 2011 in Beijing and Wuhan are collected in order to predict the diffuse irradiation ratio more accurately. First, the local solar energy resources are evaluated according to three indicators. Then the applicability of the Erbs model has been tested. Finally, a new model based on sky clearness index and solar altitude angle are used to modify the Erbs model. The results show that the total radiation in Beijing is 5189.36 MJ/m2 and it is single peak. The stability is 0.32. Direct ratio is 0.5. And the total radiation in Wuhan is 4261.93 MJ/m2 and it is double peak. The stability is 0.34. Direct ratio is 0.39. The shape of the data distribution of the hourly diffuse irradiation ratio is similar to that of the Erbs model. However, the measured values are not only related to the clearness index, but also to the solar altitude angle. The revised models improve the prediction accuracy. It provides an important basis for the design of photovoltaic system.
INTERPRETATION OF RADIOMETRIC RATIOS AND MAGNETIC ANOMALIES FROM MORRO FEIO ULTRAMAFIC COMPLEX, CENTRAL-WESTERN BRAZIL

This study was performed to identify magnetic structures in depth and radiometric responses within and around Morro Feio Ultramafic Complex (MFUC) from the airborne geophysical (gamma-ray spectrometry and magnetic) data.Using processing techniques and profiles analysis, we have found eight gamma-ray spectrometry signatures and twenty-seven magnetic anomalies.The radiometric signatures are basically characterized by a K and eU relative enrichment in detriment eTh, with two of these signatures also characterized by K relative enrichment in detriment eU.Based on published works, we have interpreted the radiometric responses may be from serpentinite and possible areas with hydrothermal alterations.Regarding the magnetic anomalies, we concluded that the shallowest may be the magnetic responses of dikes, contact zones and other structures, while the deepest have sources with more complex geometries and are concentrated in central-western of MFUC, where the participation of Pt is larger.In this aspect, the results presented reinforce the arguments favorable to existence of Pt, Cr and Ni primary sources in depth.
A Spark-Based Approach for High-Efficiency Embedded Feature Selection

Embedded feature selection is an important branch in the field of feature engineering. However, due to the excessive computing time brought by the iterative mechanism, variational inference-based embedded feature selection cannot satisfy the real-time demand for practical application. In such a case, a Spark-based embedded feature selection approach is proposed in this study. Automatic relevance determination kernel-based variational relevance vector machine is selected as the basic model so that each of the input features can come with an independent scaling parameter. And combining with the characteristics of Spark of being suitable for dealing with iterations, a parallel strategy is designed which stores training samples in RDD (Resilient Distributed Datasets, RDD) and achieves parallel acceleration by designing the operators such as filter, map, flatMap, etc. Meanwhile, by caching the reusable RDD in the calculation process to reduce the repetitive computing, along with broadcasting parameters required in parallel computing to decrease the computing time caused by data shuffle, so that the optimization of algorithmic efficiency can be consequently improved. In addition, the approach adopts the singular value decomposition to implement calculation of the inversion and determinant of the high-dimensional matrix based on the positive definiteness, so as to further optimize the efficiency of the algorithm. The experiments are conducted on solving regression problem with sufficient parametric studies. The results demonstrate that the proposed approach exhibits outstanding performance on both acceleration and prediction accuracy.
A high dimensional entanglement-based fully connected quantum key distribution network

Quantum key distribution (QKD) is a crucial technology for information security in the future. Developing simple and efficient ways to establish QKD among multiple users are important to extend the applications of QKD in communication networks. Herein, we proposed a scheme of symmetric dispersive optics QKD (DO-QKD) and demonstrated an entanglement-based quantum network based on it. In the experiment, a broadband entanglement photon pair source was shared by end users via wavelength and space division multiplexing. The wide spectrum of generated entangled photon pairs was divided into 16 combinations of frequency-conjugate channels. Photon pairs in each channel combination supported a fully-connected subnet with 8 users by a passive beam splitter. Eventually, it showed that an entanglement-based QKD network over 100 users could be supported by one entangled photon pair source in this architecture. It has great potential on applications of local quantum networks with large user number.
The Delivery Pipeline

The delivery pipeline refers to the sequence of automated processes that manage the build, test, and release process for your project. The term was popularized by the book Continuous Delivery, which says:
Tye’s Theory of the Unconceptual Content of the Perceptual Mental States

Introduction. In modern philosophy of perception, the issue of the content of perceptual mental states is actively discussed, in particular the possibility of nonconceptual content is one of the most significant problem. Usually conceptual activity is attributed to thinking, and perception is intended to be non-conceptual. Such an approach may deprive perception of opportunity to serve as a basis for judgment. The paper analyzes Tye’s theory of non-conceptual content of perceptual mental states, which does not deprive the perception of its epistemological function. Methodology and sources. Methodologically, the research work is based on philosophical analysis of modern theories of perception and results of cognitive research. Results and discussion. In accepted terminology, the content of perceptual mental states can be of three types: conceptual, non-conceptual detailed (fine-grained) and nonconceptual coarse (coarse-grained). Tye's position is that perceptual mental states have only the third kind of content. This approach faces a number of objections that are presented in this paper. The analysis of objections shows their surmount ability, thus, it can be concluded that the Tye’s position of nonconceptual content can be considered as reasonable. The main result of the presented research is the presentation of additional grounds for the theory of non-conceptual content of perceptual mental states. Conclusion. The problem of the content of perceptual mental states is crucial for understanding the epistemological role of perception. The theory of non-conceptual content of perceptual mental states provides new insights into perception.