Reviewerly/exHarmony huggingface dataset:
An Analysis Students’ Vowel in Pronunciation

This research aimed to find out the pronunciation correctly and incorrectly made by the eighth grade at SMP Swasta Puteri Sion in terms of vowels sound. The method of the research is a case study in the form of qualitative research method. The total samples of this research are 22 students. There are 36 vowels sound which include in the dialogue that will be analyzed by the researcher. The research result showed that 19 words incorrectly pronounced by the students with percentage 53% and 17 words are correctly pronounced by students with percentage 47%. The students could not pronounce the phonetic symbols correctly, they will pronounce well only as long as the words are familiar for them. In this case, the students need to more learn and read about phonetic symbol at the school and outside the school. In relation to this, encourage the students need to more learn and read about phonetic symbol at the school and outside the school by listening English music, reading a English novel and watching English movie to improve their skill in pronunciation.&#x0D; Keyword: pronunciation, vowels
Sufficient Condition for Wavelet Frame on Positive Half-Line

In this paper, we present p-wavelet frames on positive half-line using Walsh-Fourier transform and also prove a sufficient condition for the system { , : ∈ ℤ, ∈ ℤ } to be a wavelet frame in (ℝ ).I.
Empirical Evidence of Socially-Engineered Attack Menace Among Undergraduate Smartphone Users in Selected Universities in Nigeria

Smartphone proliferation today, have up-scaled user adoption of Internet-based processing activities. These include (not limited to) e-learning, e-commerce, mobile-banking and others –all aimed at better performance, service delivery at improved execution speed, greater portability, flexibility and accessibility ease. Thus, necessitating growth expansion in mobile-app development across varying platforms that are poised to help users accomplish processing tasks while harnessing the benefits of the technology. Conversely, these techs have also allowed users to be constantly besieged by threats and security breaches. In lieu of residence, sensitive and proprietary –users have become bothered with smartphone exposure to possible data loss and theft –if they are to further adopt these new paradigms. With doubt in their minds, trust levels in user adoption continues to reduce. We seek to investigate social-engineered threats and attacks amongst undergraduates in Nigerian Universities. Result shows that phishing hits a higher successrate against smartphone users in Nigeria, which has decreased client’s trust level in Internet-based services
The Reality of Technologies for Cyber Security Challenges

In the field of informational technology, cyber security plays an important role in ensuring that information has become one of today's major challenges. The first thing that comes to our mind when we ever talk about cyber security is ' cyber crimes, ' which are rising exponentially every day. Different governments and companies take numerous measures to prevent such cyber crimes. In addition to various cyber security measures, many still have a major concern. It also reports on the innovations in cyber security strategies, practices and developments that change the face of online health. This paper focuses mainly on cyber security challenges facing the latest technologies.
Information System and Transparency Free School Program

This study describes the information system and transparency of a free school program using a qualitative approach with a case study method.The techniques and procedures for data collection included interviews and direct observation.The validity of the data was done with credibility, flexibility, dependability, and commitment.Data analysis consisted of testing, categorizing, tabulating, or combining based on the focus of the research.From data analysis, the school information system was free in MUBA Regency and used a computerized system in determining the number of recipients of funds through dapodik data, socialization through a website, and distribution of FSP reserves via bank transfer.In addition, the transparency of the financial accountability of FSP funds in accordance with the technical guidelines was carried out properly.This is because it was supported by supervision carried out by the District Management and the District Inspectorate Teams as well as Non-Governmental Organizations.
The implementation of Picture Word Inductive Model (PWIM) to improve students’ writing of descriptive text

The objectives of this research were to find out whether teaching by using Picture Word Inductive Model (PWIM) could give improvement toward students’ descriptive text writing or not and to find out which aspect of writing that improved the most after they have been taught by using Picture Word Inductive Model (PWIM). This research was conducted at the first grade of SMPN 10 Bandar Lampung in academic year 2019/2020 using one group pretest posttest design. The sample of this research was VII B class which consisted of 29 students. The result showed that there was an improvement of students’ writing descriptive text after the implementation of PWIM. In addition, all aspects of writing improved regarding to the result, but vocabulary improved the most. Briefly, referring to the result above, it can be said that PWIM is well applied to improve students’ ability in writing descriptive text and all aspects of writing.
Design Combinational Circuit of Reversible Circuits in Emerging Technologies for HCI

The first aim of the thesis is to design feature selection and classification algorithms to distinguish between binary and multiple mental states. These algorithms must produce an optimal performance in terms of accuracy and computational time so that it can be used in real-time applications. Secondly, to design BCI control strategies using reversible combinational ckt like multiplexer, multiplier, adder/sub-tractor for real-time thought control of a human computer interaction (HCI). Reversible logic has emerged as one of the most important approaches and more prominent technology nowadays. Power is the main concern for development and growth of modern VLSI designs.
Work in Progress: Comparison of ‘Boot Camp’ and Traditional Academic Course Delivery for Cybersecurity Education

articles and over 120 full conference papers, in addition to making numerous other conference presentations.Straub's research spans the gauntlet between technology, commercialization and technology policy.In particular, his research has recently focused on cybersecurity topics including intrusion detection and forensics, robotic command and control, aerospace command and 3D printing quality assurance.Straub is a member of Sigma Xi, the AAAS, the AIAA and several other technical societies, he has also served as a track or session chair for numerous conferences.
Integration of Information, Linguistic and Artistic Milieux of Education in the System of General Education with the Use of Music Computer Technologies

The article highlights the pedagogical experience of the process of integration of information, linguistic and artistic means of education in the system of general education on the example of secondary school with in-depth study of subjects of the musical cycle and English; the process of implementation of integration of information and artistic means of education in the system of general education with the use of contemporary music computer technologies as one of the tools in the formation of information educational environment of the school aimed at achieving new educational results by all participants of the educational process is illustrated; metatechnology of formation of values of through (continuous) education by means of modern creative digital educational environment is presented.
Motivating Struggling Malaysian Primary ESL Readers Through The ‘Read and Record Project’

This research was conducted to explore how the ‘Read and Record Project’ could help motivate struggling Malaysian primary ESL readers to read. This paper will report on motivating effects of the ‘Read and Record Project’ towards struggling readers. A case study was employed as the research design and four instruments were used to collect the data which were semi-structured interview, observation notes, and reflective journal. The data collected were analysed thematically. The participants were chosen through purposive sampling. Before this study was carried out, a preliminary study was done in a primary school located in Betong, Sarawak. From the preliminary study, four struggling readers from Year 3 were chosen to participate in the ‘Read and Record Project’. Findings revealed five elements of the project that could help motivate struggling readers to read through the project. The elements include independent learning, parents’ involvement, video production, sense of accomplishment, and fun learning. To conclude, the findings proved that the ‘Read and Record Project’ could enhance the motivation to read among struggling Malaysian primary ESL readers.
An Innovative Synthesis Cryptic Technique for Distributed Cloud Computing

The initial time period of computer science development, technologies were only used for military and government information communication and cryptography were used only to protect the military’s high official communications. Then the continuous evolution of computer technology changes the modern era to a computer dependent transmission and storage of confidential data. And today on demand technology is the cloud computing and it is providing the computing services including servers, storage, databases, networks, software and so on. But cloud main disadvantage is a security issue because the cloud provides the computing amenities by the third-party services so third parties also can easily access the user data and it deals with more confidentiality related problems. So to protect the cloud data we propose the Deep Substitution and Advanced Encryption (DSAE) technique. Encryption converts the plaintext into unintelligible text and the proposed system is a combination of AES (Advanced Encryption Standard) and DSEM (Deep Substitution Encryption Method) algorithms. The DSAE algorithm splits the user data into two parts and one half is send to AES and other half is send to DSEM algorithm for secure the data and store into cloud storage. This paper comprehensively explain the DSAE cryptic process.
This paper presents a two-dimensional histogram shifting technique for reversible data hiding algorithm. In order to avoid the distortion drift caused by hiding data into stereo H.264 video, we choose arbitrary embeddable blocks from 4×4 quantized discrete cosine transform luminance blocks which will not affect their adjacent blocks. Two coefficients in each embeddable block are chosen as a hiding coefficient pair. The selected coefficient pairs are classified into different sets on the basis …

Arc, one virus-like gene, crucial for learning and memory, was dis-covered by researchers in neurological disorders fields, Arc mRNA’s single directed path and allowing protein binding regional restric-tively is a potential investigation on helping shuttle toxic proteins responsible for some diseases related to memory deficiency. Mean time to switching (MTS) is calculated explicitly quantifying the switching process in statistical methods combining Hamiltonian Markov Chain(HMC). The model derived from predator and prey with typeII functional response studies the mechanism of normals with intrin-sic rate of increase and the persisters with the instantaneous discovery rate and converting coefficients. During solving the results, since the numeric method is applied for the 2D approximation of Hamiltonion with intrinsic noise induced switching combining geometric minimum action method. In the application of Hamiltonian Markov Chain, the behavior of the convertion (between mRNA and proteins through 6 states from off to on ) is described with probabilistic conditional logic formula and the final concentration is computed with both Continuous and Discret Time Markov Chain(CTMC/DTMC) through Embedding and Switching Diffusion. The MTS, trajectories and Hamiltonian dynamics demonstrate the practical and robust advantages of our model on interpreting the switching process of genes (IGFs, Hax Arcs and etc.) with respects to memory deficiency in aging process which can be useful in further drug efficiency test and disease curing. Coincidentally, the Hamiltonian is also well used in describing quantum mechanics and convenient for computation with time and position information using quantum bits while in the second model we construct, switching between excitatory and inhibitory neurons, similarity of qubit and neuron is an interesting object as well. Especially with the interactions operated with phase gates, the excitation from the ground state to excitation state is a well analogue to the neuron excitation. Not only on theoretical aspect, the experimental methods in neuron switching model is also inspiring to quantum computing. Most basic one is as stimulate hippocampus can be identical to spontaneous neural excitation(|g&gt;|e&gt;), pi-pulse is utilized to drive the ground state to the higher state. There thus exists prosperous potential to study the transfer between states with our switch models both classical and quantum computationally.
PERANCANGAN SISTEM INFORMASI PEMBANGUNAN JALAN PERDESAAN DI KABUPATEN SERANG (Studi Kasus Pada Desa Sukadalem Kecamatan Waringinkurung)

The PUPR Service of Serang Regency is located on Jalan Sama’un Bakri, Lopang, Serang2City, where there are many areas of duty, one part of which is the development section of the development section, which has tasks in road construction. In recording or data collection, road construction still uses Microsoft Excel, so it is not effective because of data loss and data duplication. So we need a new system that can support these activities. With the website-based information system using the PHP programming language, the database used is MySQL and the Waterfall method makes this information system usable anytime and anywhere. The purpose of this study is to design a rural road development information system that can provide information to the government regarding road construction and can monitor the progress of road construction in progress. The community can also see this information without having to come to the PUPR Office of Serang Regency to ask about information on the construction of their village roads that will be built and can report complaints related to road conditions, especially in the Serang district area in the community complaint feature so that it can be immediately followed up by government.
Filtering unwanted posts from online social networks (OSN)

Now a days, unexpectedly growing using on-line social networks (OSNs). Through this offerings user’s can speak and switch any data. The important thing downside of those Online Social Networking (OSN) offerings is the dearth of privateness for the user’s personal space. We use sample matching and textual content class set of rules for correct filtering results. We suggest a gadget permitting OSN customers to own a right awaymanages at the messages published on their walls. It might be a bendy region that rule primarily based totally gadget are used to lets in customers to customize the filtering procedure implemented to their user’s profiles. A system gaining knowledge of method robotically labeling messages in help of content-primarily based totally filtering. Index Terms: content-primarily based totally filtering, filtering rule, filtering gadget, system gaining knowledge of, on-line social networks
Mining of Sequential Patterns using Directed Graphs

Sequential pattern mining is one of the important functionalities of data mining. It is used for analyzing sequential database and discovers sequential patterns. It is focused for extracting interesting subsequences from a set of sequences. Various factors such as rate of occurrence, length, and profit are used to define the interestingness of subsequence derived from the sequence database. Sequential pattern mining has abundant real-life applications since sequential data is logically programmed as sequences of cipher in many fields such as bioinformatics, e-learning, market basket analysis, texts, and webpage click-stream analysis. A large diversity of competent algorithms such as Prefixspan, GSP and Freespan have been proposed during the past few years. In this paper we propose a data model for organizing the sequential database, which consists of a directed graph DGS (cycles and several edges are allowed) and an organization of directed paths in DGS to represent a sequential data for discovering sequential pattern3 from a sequence database. Competent algorithms for constructing the digraph model (DGS) for extracting all sequential patterns and mining association rules are proposed. A number of theoretical parameters of digraph model are also introduced, which lead to more understanding of the problem.
Towards Efficient Mining of Periodic High-Utility Itemsets in Large Databases

High Utility Item sets mining has attracted many researchers in recent years. But HUI mining methods involves a exponential mining space and returns a very large number of high-utility itemsets. . Temporal periodicity of itemset is considered recently as an important interesting criteria for mining high-utility itemsets in many applications. Periodic High Utility item sets mining methods has a limitation that it does not consider frequency and not suitable for large databases. To address this problem, we have proposed two efficient algorithms named FPHUI( mining periodic frequent HUIs), MFPHM(efficient mining periodic frequent HUIs) for mining periodic frequent high-utility itemsets. The first algorithm FPHUI miner generates all periodic frequent itemsets. Mining periodic frequent high-utility itemsets leads to more computational cost in very large databases. We further developed another algorithm called MFPHM to overcome this limitation. The performance of the frequent FPHUI miner is evaluated by conducting experiments on various real datasets. Experimental results show that proposed algorithms is efficient and effective.
Correction: Isosorbide monoacrylate: a sustainable monomer for the production of fully bio-based polyacrylates and thermosets

Correction for ‘Isosorbide monoacrylate: a sustainable monomer for the production of fully bio-based polyacrylates and thermosets’ by Florine Nonque <italic>et al.</italic>, <italic>Polym. Chem.</italic>, 2020, <bold>11</bold>, 6903–6909, DOI: 10.1039/D0PY00957A.
Predicting the time-to-deliver of software changes

In this thesis we examine the application of survival analysis on time-to-deliver data. Successful prediction of the time necessary to deliver a new feature or fix a reported defect can assist in various phases and aspects of software development. We identify and try to overcome limitations when dealing with time-to-event data. Our proposed methodological framework includes use of survival analysis, utilization of incomplete information that might be available as censored data, and incorporation of random-effects through mixed-effects models for identification of hierarchical/clustered data within our dataset. We explore and experiment with a dataset from a large scale commercial software over a twelve year period of time. We show that we can successfully implement survival analysis, and that incorporation of random-effects provides a considerable advantage, however, incorporation of censored information is not proven to be advantageous in this case.
Cyber Security - Incident Response and Management

Today, Information Technology has bought a lot of benefits for the mankind but it has also made us susceptible to failures and attacks as well. This article discusses the increasing complexity of cyber- security threats and capabilities of information security teams in applying controls required to effectively respond to threats. In this article, the main stages of managing information security incidents and events are discussed, designed to help create an effective response process to security incidents and as a result to reduce losses and quickly restore performance in dynamically changing IT infrastructure and threat landscape.
An Authorized Clou Dedup in Hybrid Cloud using Triple Data Encryption Standard

Nowadays, data deduplication has become more essential for cloud storage providers because of continuous increase in number of users and their data file size. The users are allowed to access server anytime and anywhere to upload/download their data file. Whenever data is retrieving, it leads to several problems associated to the confidentiality and privacy. For protection of data security, we proposed an efficient technique called ClouDedup which assures file deduplication. To secure the confidentiality of critical data while supporting ClouDedup checker, we proposed a triple data encryption standard (TDES) technique to encrypt the data prior to uploading the data file in cloud storage. The privilege level of user is verified with data to assure whether he is an authorized user or not. The analysis of security demonstrates that our proposed security method is safe and secure. We prove that our proposed ClouDedup method has minimal overhead compared to normal operations. The process aims to use authorized ClouDedup checker with a triple data encryption standard (TDES) technique to minimize duplication copies of data in hybrid cloud storage and conducted test experiments using our prototype.
Correction to: Study on Recent Method of Dynamic Time-Based Encryption (DTBE) and Searchable Access Control Scheme for Personal Health Record in Cloud Computing

In the original version of the book, the chapter author name E.V.N. Jyothi is inadvertently published with spell error “E.V.N. Jyoti” and it has been corrected now. The chapter and book have been updated with the change.
Design of NLP technique fore-customer review

With the passage of time and the growth of ecommercea new web world needs to be built their users can share their ideas and opinions differently domains.There are thousands of websites that sell these various products. The quick growth in the number of reviews and their availability and the arrival of rich reviews for rich products for sale online, the right choice for many products has been difficult for users. Consumers will soon be able to verify the authenticity and quality of the products. What better way is there to ask people who have already bought the product? That’s where customer reviews come from. What’s worse is the popular products with thousands of updates — we don’t have the time or the patience to read all of them thousands. Therefore, our app simplifies this task by analysing and summarizing all the reviews that will help the user determine what other consumers have experienced in purchasing this product. This function focuses on mining updates from websites like Amazon, allowing the user to write freely to view. Automatically removes updates from websites. It also uses algorithms such as the Naïve Bayes classifier, Logistic Regression and SentiWordNet algorithm to classify reviews as good and bad reviews. Finally, we used quality metric parameters to measure the performance of each algo.