Reviewerly/exHarmony huggingface dataset:
Türk Perakende Şirketindeki Çevirimiçi Alış Verişler için İlişkililik Kurallarını Çıkarılması: Durum Çalışması

The extracting association rules of inter-user-product relations used by companies in decision-making processes have been popular for some time, especially for market basket analysis. In this study it is aimed to discover association rules from original online store transaction of a Turkish retail company, in order to help administrator and decision maker also Customer Relationship Management department to initiate campaigns. The main objective is to find out which product item sets are bought together. In order to better compare the results the data are analyzed with and without clustering according to range of ages and gender. Data mining Association analysis methods such as Apriori Algorithm, FP-Growth (Frequent Pattern) then applied which are used to extract association rules. Moreover some of the collaborative filtering metrics namely Jaccard, Pearson, and Cosine function are used to understand the association between products to obtain a recommendation system. The proposed recommendation methods successfully recommended the associated product for the obtained original dataset as high as %65 accuracy. Obtained association rules are shared with the marketing department to initiate and direct forthcoming marketing campaigns.
Continuous-variable entangled states in a lossy CROW

We theoretically model the counterpropagating entangled states generated in vertically-pumped, lossy, coupled resonator optical waveguides and use the model to investigate the effects of the loss on the propagation of the entangled states for different pump parameters.
Exploring the Factors Influencing to Create Brand Awareness of Non-Profit Organizations (NPOs) through the usage of Social Media in Bangladesh

Purpose: The purpose of this paper is to find out the factors influencing non-profit organizations (NPOs) in Bangladesh to communicate with potential donors by using social media. Because it is very strongest way to reach mass people. Social media is a composition of various online communications channels that build relationships between community people by sharing messages and collaboration. In recent years, social media becomes a convenient way to build personal relationship among people as well as corporate relationships. Organizations are more interested to build relationships with prospective customers by using social media. Methodology: This paper is both in exploratory and descriptive in nature. Types of research methods can be broadly divided into two categories such as quantitative and qualitative research. Qualitative research is used for problem setting and quantitative research is used for collecting primary data and analyzing them. Our sampling units are 100 that are most of the students and service holders. Samples were chosen by using nonprobability sampling technique. Using close ended question, a survey was conducted on target respondents for collecting primary data. For analyzing those data IBM SPSS software was used. Findings: This study is basically initiated to identify the factors that nonprofit organizations must consider to create brand awareness through the usage of social media. We have found three factors considering twenty-five variables: increase brand memorability, charity involvement as well as ease of brand recognition and chain referrals. Research Limitations: This study is a descriptive one and small sample size was used. For future research, sample size could be broadened. Practical Implications: This study will contribute to the non-profit organizations’ strategic planning to create brand awareness among prospective donors by using social media. Originality/value: This study develops an integrated model that explicitly exemplifies the factors influencing NPOs to build strong relationships with potential donors by using social media. By using factor analysis, this paper became able to find out three factors such as increase brand memorability, charity involvement as well as ease of brand recognition and chain referrals.
Identifying and Testing Recursive vs. Interdependent Links in Simultaneous Equation Models via the SIRE Package

Simultaneous equation models (SEMs) are composed of relations which either represent unidirectional links, which entail a causal interpretation, or bidirectional links, due to feedback loops, which lead to the notion of interdependence.The issue is of prominent interest in several respects.Investigating the causal structure of a SEM, on the one hand, brings to light the theoretical assumptions behind the model and, on the other hand, pilots the choice of the befitting estimation method and of which policy to implement.This paper provides an operational method to distinguish causal relations from interdependent ones in SEMs, such as macro-econometric models, models in ecology, biology, demography, and so forth.It is shown that the causal structure of a system crucially rests on the feedback loops, which possibly affect the equations.These loops are associated to the non-null entries of the Hadamard product of matrices encoding the direct and indirect links among the SEM dependent variables.The effectiveness of feedbacks is verified with a Wald test based on the significance of the aforementioned non-null entries.An R package, SIRE (System of Interdependent/Recursive Equations), provides the operational completion of the methodological and analytic results of the paper.SIRE is applied to a macroeconomic model to illustrate how this type of analysis proves useful in clarifying the nature of the complex relations in SEMs.
REVIEWING DATA ACCESS PATTERNS AND COMPUTATIONAL REDUNDANCY FOR MACHINE LEARNING ALGORITHMS

Machine learning (ML) is probably the first and foremost used technique to deal with the size and complexity of the newgeneration of data. In this paper, we analyze one of the means to increase the performances of ML algorithms which isexploiting
Intelligent Microseismic Event Detection Using Kirchhoff Migration Style Stacking in Combination with Iterative Clustering based Segmentation

Summary Detecting and imaging microseismic activity can be a powerful tool for reservoir monitoring, it can help in detecting and quantifying regional tectonic and production related stress buildup. However, identifying microseismic activities from individual traces/raw data is not an easy task because of their low signal-to-noise ratio. Also, the presence of numerous microseismic event locations (for example during water injection or hydraulic fracturing) can lead to erroneous identification of spurious noise as a microseismic event. In order to enhance the signal-to-noise ratio, a Kirchhoff-migration style stacking is used, where the amplitude of the event in the stacked trace gets enhanced due to constructive interferrence. To avoid the erroneous detection of these events, an Iterative Clustering based Segmentation (ICS) approach (unsupervised machine learning technique) is used. The technique is correctly able to identify the clusters of microseismic event locations in space (3D cubes/splices) at a particular instant of time for both synthetic as well as real data. The cluster identification is carried out on 3D cubes (only space) rather than 4D (space and time altogether) because of the mobile nature of the event locations, which can also be monitored using the ICS scheme.
A Literature Review of Regret

&lt;p&gt;Regret is an emotion closely related to people's daily life. This paper summarizes the research results on regret, including the definition of regret, the influencing factors of regret and the research status of regret.&lt;/p&gt;
Subject and Course Guides: RefWorks Migration Information: Home

This is the landing page where you will find information about UTA Libraries cancellation of RefWorks (both Legacy and New) and about migrating to EndNote, Mendeley or Zotero.
Media-educational resources of school textbooks as a means of realisation of a culturological approach to the ukrainian literature study

Випуск 68 '2019 Серія 5. Педагогічні науки: реалії та перспективи Haborets O. A. Criteria, indicators and maturity levels of future doctors for the self-improvement through information technologies.The article discloses the relevance of the professional training of future doctors to self-improvement by means of IT.The main criteria, indicators and readiness levels of future specialists are substantiated and theoretically substantiated.To determine the readiness of future physicians for self-improvement by means of IT, the motivational-value, cognitive and reflexivity-regulatory criteria are identified.Each of them includes a set of indicators that reveal the content and describes the readiness of the future physician to self-improvement with the use of IT.The level of self-improvement of future specialists by means of IT is described: high, average, satisfactory, unsatisfactory.
Bentuk-bentuk Akronim yang Digunakan di Unit Pelaksana Teknis Dinas (UPTD) Balai Peralatan dan Perbekalan Dinas Pekerjaan Umum Provinsi Sulawesi Utara

Language is a means of human communication through social interaction with others. According to Chomsky, language is a collection of sentences, each with a certain length and built by a set of specific elements. Language is a regular system from various forms of sounds used in expressing thoughts and feelings of the users of the language. Indonesian language was born on October 28, 1928, grew and developed from the Malay language since ancient times, and has been used as a lingua franca not only in the archipelago, but also in almost all of Southeast Asia. This study examines the language based on the internal object of linguistic study; micro linguistic and one of its sub-discipline is morphology, focused on forms of acronyms used in UPTD Balai Peralatan dan Perbekalan Dinas Pekerjaan Umum Provinsi Sulawesi Utara. The research focus is on the forms of acronyms used in UPTD Balai Peralatan dan Perbekalan Dinas Pekerjaan Umum Provinsi Sulawesi Utara. There are three forms of acronyms used by the Aparatur Sipil Negera (Civil Servant) and Tenaga Harian Lepas (Intern) on UPTD Balai Peralatan dan Perbekalan Dinas Pekerjaan Umum Provinsi Sulawesi Utara, which is acronym whose form is determined by the formation process based on the theory of O'Grady, Dobrovolsky, theory of Kridalaksana. H., and one of the form does not follow the two existing theories. Of the thirty two acronyms found, twenty nine are formal acronyms in Indonesian language and the other three are informal acronyms.
Aplikasi Panduan Budidaya Okra Sistem Penjadwalan Alarm Otomatis Berbasis Android Dengan Thunkable

Okra plants, especially the fruit is powerful for prevention of diabetes but in Indonesia is still rarely encountered farmers who cultivate it because of lack of knowledge about okra. Okra fruit is still a little market and the price is rather expensive. Therefore a good opportunity for farmers who want to patch income. Therefore required an appropriate information media to guide farmers in the process of cultivation of okra. Mobile application android system is considered appropriate because it will be implemented on android smartphone. In this thesis, researchers try to analyze the existing problems. Using SDLC waterfall development method. Performing the process model using UML model, application design, database design, interface design, and relationships between tables. The resulting application is in the form of android prototype which is intended to provide an overview to the farmers and the community about good and correct cultivation of okra plants and the scheduling feature of cultivation activities with alarm notification automatic. So that the farmers and the community no longer need to create a schedule of cultivation activities okra. Keywords : Android, Okra, Development, Analysis,Smartphone, Design, and Database.
PPDC: A Privacy-Preserving Distinct Counting Scheme for Mobile Sensing

Mobile sensing mines group information through sensing and aggregating users’ data. Among major mobile sensing applications, the distinct counting problem aiming to find the number of distinct elements in a data stream with repeated elements, is extremely important for avoiding waste of resources. Besides, the privacy protection of users is also a critical issue for aggregation security. However, it is a challenge to meet these two requirements simultaneously since normal privacy-preserving methods would have negative influence on the accuracy and efficiency of distinct counting. In this paper, we propose a Privacy-Preserving Distinct Counting scheme (PPDC) for mobile sensing. Through integrating the basic idea of homomorphic encryption into Flajolet-Martin (FM) sketch, PPDC allows an aggregator to conduct distinct counting over large-scale datasets without disrupting privacy of users. Moreover, PPDC supports various forms of sensing data, including camera images, location data, etc. PPDC expands each bit of the hashing values of users’ original data, FM sketch is thus enhanced for encryption to protect users’ privacy. We prove the security of PPDC under known-plaintext model. The theoretic and experimental results show that PPDC achieves high counting accuracy and practical efficiency with scalability over large-scale data sets.
Using the Shell with a Document Store

Thus far in the book, we have discovered MySQL Shell and seen how we can use it to replace the older MySQL client (mysql) and how we can use the shell to administer our database using traditional SQL commands. We also learned how to use the shell to develop our relational database code using the X DevAPI and even test it!
Cyberspace Activities Awareness And Security Strategies In Tertiary Institutions In Nigeria

This study attempts to examine the activity, awareness and measures being adopted by staff and students in tertiary institutions to overcome the cyber security challenges. A total of one hundred and twenty (120) staff and students were sampled from three different tertiary institutions in Owerri-Imo State, Nigeria using random sampling technique. A structured questionnaire was used as data collecting instrument. The views representing the opinions of the respondents were sought on issues on cyber space activity, security awareness and strategy adopted by staff and students. With respect to activity on cyberspace, there is a variation of engagement by respondents. On the cyberspace activities engaged, majority of the respondents, 82% of the population claimed that they involve in Google search. When asked about their awareness to certain educational cybercrimes, majority, 89%, claimed to be aware of spamming. Most of the staff and students sampled on security awareness responded that they are familiar with some threats used to steal and leak their information and identity. However, all of the biggest cybercrimes the education sector are battling recently like phishing, ransomware and DDoS which have been used to attack schools on a regular basis are not that popular among the staff and students. A very important revelation from this study was that issues related to cybercrime are not being reported to law enforcement agents by staff and students of tertiary institutions. This poses great danger to the fight against cybercrime. All the users of Information Technology (IT) facilities in tertiary institutions should be educated on the risk of cyber-attacks and how to manage it. This includes reporting to law enforcement agency. It is recommended that the government and the authorities of tertiary institutions in Nigeria introduced cyber security law as part of the courses to be taken. The network users should be made to know their roles and responsibilities in ensuring a safe and efficient cyber pace.
Crash Analysis Mechanisms in Vulnerability Mining Research

Vulnerability mining research plays an important role in the fields of network security, but without exploit, a vulnerability which can trigger program crash will be considered useless. Focus on the crash exploitable analysis, this paper summarized the reasons resulting to program crash, classified current crash exploitable identification technology into 4 mechanisms, discussed the principle, process, characteristic of each mechanism, summarized and evaluated the performance of widely used crash exploitable identification mechanisms by experiment on vulnerabilities public from CVE, NVD, and discussed the future development direction and trend of crash exploitable identification technology. It can give guidance for future development of vulnerability exploits in education application fuzzing.
Uji bakteriologis air di PDAM GT Kabupaten Magelang dengan metode MPN Quanty-Tray

Water is the main need for life. The bacteriological requirements for clean water are the presence or absence of Coliform bacteria and E. coliÂ in water. The purpose of this study was to determine the quality of water from gravity springs and pump springs as a source of water in Magelang Regency PDAM GTÂ and Magelang Regency community. This study was to finding out the bacteriological test of water in Magelang Regency PGT. This study was to know bacteriological water testing techniques using the MPN Quanti-method Tray in Magelang Regency PGT. The method used in this study is the Quanty-Tray Most Probable Number (MPN) method. The sample of this study were two gravitational springs namely Sample A and Sample B and two pumping springs namely Sample C and Sample D. The results of MPN calculations from the four springs did not meet the requirements of clean water ready to be distributed to the community because Coliform in the spring gravity water and pumps and found E. coliÂ in the pump spring water.Â Â Key words:Â coliform, MPNÂ quanty-tray, bacteriological requirement.
Testing the mediating role of management commitment to enhancing workplace behaviour and personal compliance within the university environment

In line with the 2020 Occupational Safety and Health (OSH) Master Plan, a continuous proactive commitment from the university’s management is called for to ensure that its campus community can enjoy working in an environment that is mutually trusting, happy, productive, and safe. This study investigates the managementcommitment of several local universities through the eyes of its students and staff totalling 221 respondents. Assessment of the three regression models found Management Commitment significantly mediating the Behavioral and Personal Compliance relationship. This increased Management Commitment level subsequently pushes the average agreement level that the students and staff have for Personal Compliance. That management commitment has a mediating role to play in the interaction of these variables in the university environment confirms the Social Exchange Theory, where the students and staff would give back to the university what they have taken as a token of appreciation for top management’s effort at looking after their well-being. This study implicates management commitment as a critical component for achieving safety, health, and well-being of every employee under its charge. Upholding OSH reflects an acceptance of all the priorities set out in the master plan that will nurture a working environment that cares about safety and health.
An Efficient Auditing Protocol For Information Sharing and Secured Distributed Storage

Data sharing can be achieved with sensitive information hiding in remote data integrity auditing, and propose a new concept called identity based shared data integrity auditing with sensitive information hiding for secure cloud storage.Initially every data would be outsourced to the cloud only after authorized or activated by the proxy.The key would be generated to the file randomly by the key generation center.The transaction details such as key mismatch, file upload and download, hacking details would be shown to the proxy and cloud server.The automatically file would be recovered by the user even if hacker access or tamper the file.The main motive is to ensure that when the cloud properly stores the users sanitized data, the proof it generates can pass the verification of the third party auditor.
Short Message Service Encoding Using the Rivest-Shamir-Adleman Algorithm

SMS (Short Message Service) is one of the data exchange features in cellphones, including Android smartphones, which are the most widely used smartphone platforms today. However, the security of the SMS is questionable because the message sent must pass through a third party frist, namely SMSC (Short Message Service Center), so that message can be tapped or misused. One of the ways to reduce this risk is to encrypt or keep the original message secret by applying the cryptography algorithm. This research is to develop a system that serves to encrypt and decrypt SMS for Android-based smartphone users. The application is created to encrypt dan decrypt SMS using the Java programming language on Android, that is applied to smartphone integrated with Android Studio and used RSA cryptography algorithm. The application can be used to encrypt and decrypt SMS using the RSA algorithm on the Android-based smartphone. This application can send an SMS with a size of 86 characters and using QR Code to exchange the public key.
Narrative based assessment for intercultural Communication

Journal of the International Network for Korean Language and Culture 16-2, 171-197. This study aims to suggest a methodology for the development of an assessment framework and tool for intercultural communication. The following three studies, created by the National Council of State Supervisors for Languages (NCSSFL) and the American Council on the Teaching of Foreign Languages (ACTFL), were examined: (1) “ACTFL Performance Descriptors for Language Learners,” (2) “2017 NCSSFL-ACTFL Can-Do Statements,” and (3) “NCSSFL-ACTFL Can-Do Statements for Intercultural Communication.” According to the ACTFL, proficiency benchmarks and performance indicators for ACTFL proficiency level are composed of two facets: “investigate” and “interact.” Next, ”Narrative” as a methodological alternative for measuring the learner’s evaluation performance is presented by considering precedent studies. Thus, this study has developed a process-focused performance assessment that combines the narrative-based assessment for intercultural communication. (Semyung University)
Review of The Mind’s I by Douglas Hofstadter and Daniel Dennett (1981) (review revised 2019

A mixed bag dominated by H & D's reductionist nonsense. This is a follow-up to Hofstadter´s famous (or infamous as I would now say, considering its unrelenting nonsense) Godel, Escher, Bach (1980). Like its predecessor, it is concerned largely with the foundations of artificial intelligence, but it is composed mostly of stories, essays and extracts from a wide range of people, with a few essays by DH and DD and comments to all of the contributions by one or the other of them. For my views on the attempts of D and H to understand behavior see my review of Hofstadter's ‘I am a Strange Loop’ and other writings.Much of it is very reductionistic in tone (i.e.,  explains  everything in terms of physics/math and denies  reality  of psychology) but as Hofstadter notes, the quantum field equations of a water molecule are too complex to solve (and so is a vacuum)and nobody has a clue about how to explain the way properties emerge (e.g., water properties from H2 and 02) as you go up the scale from the vacuum to the brain, so reductionism, like holism, requires a great deal of faith and in fact is incoherent as one cannot even frame it's arguments without presupposing the coherence of higher order thought. Additional problems for reductionism are the uncertainty principle, chaos (e.g., no way to predict how a pile of sand will fall), the logically necessary incompleteness of math (and all thought) and the impossibility of matching higher order behaviors (e.g., language) with lower order phenomena (e.g., biochemistry), i.e., the combinatorial explosion or underdetermination. In sum, though there are many interesting comments, like nearly all writing on behavior, this work lacks any coherent account of the logical structure of rationality, which I try to give in my writings.