Reviewerly/exHarmony huggingface dataset:
Solo, pair or Mob programming: Which should be used in university?

The aim of this research is to compare individual, pair and Mob programming in university programming courses taking into account the perceptions of the students. 24 students participated in a course of Intermediate programming with Visual Basic. Net. They worked with the three modalities in the development of software projects during regular class sessions. A sequential explanatory mixed research design was used. For the quantitative component, questionnaires were administered. For the qualitative section, interviews were conducted. The results showed that students prefer pair programming because they perceive it as a midpoint between programming alone and doing it with a large group. Solo programming may cause stress and intellectual blockage, and doing so with too many people at the same time may generate distraction and imbalance of work among the participants. A limitation of the study is the sample size. However, the work makes quantitative and qualitative contributions in an area of knowledge little explored in formal literature. The findings suggest promoting work in pairs in university programming courses, as it is easily implemented with few resources and good results.
Multidisciplinary Aspects of Causality as an Ontological and Epistemological Category

The paper deals with describing a variety of interpretations of causality in different branches of modern science focusing on its multidisciplinary aspects. Moreover, historical and genetically reasoned aspects of causality in different areas are highlighted in this work. The authors take for granted that everything observable and calculable is commonly beyond dispute, and a deep understanding of causal reasoning creates an opportunity to govern different processes in various areas of human activity. Hence, interpretation of causality can be related to formal, natural, and social sciences, among which are physics, medicine, logic, philosophy, jurisprudence, psychology, and linguistics. To achieve the purpose of the paper, the authors employed such methods as observation, analysis, deduction, induction, synthesis, and description. The study proves that application of ideas obtained from physics (the hypothetical theory of a multiverse existence), logic (the implicative connection between actions), philosophy (generation of one phenomenon by another in both objective and subjective reality), psycholinguistics (the notion of mental causation), and linguistics (variety of linguistic means to express causality in different languages) shapes views of people on the interpretation of the phenomenon of causality and contributes to further comprehensive study of the causality using different approaches, linguistic inclusive. The paper also provides evidence for the causal reasoning being one of the most important mechanisms of categorization of the real world, thus making causality multidimensional. In conclusion, it is worth mentioning that modern global processes in all areas of human life demand a higher level of cross-cultural communication. The abovementioned signifies that one should be cautious in choosing language means to reflect the nuances of causal fragment of his/her worldview in order to be properly understood by speakers not only of other languages/cultures, but also by their own, for different speakers can perceive and interpret reality differently.
Pythagoras Tree Applied For Determined Instagram Usage Habit Decision

In previous studies, Pythagoras Tree constructed using the Regression Method, namely ID3 of Standard Deviation Reduction (SDR). The study using SDR for Classification. Data obtained from previous research about Instagram Usage. The result of the study that SDR is useful for the classification method for constructing Pythagoras Tree. However, the target attribute is must use a numerical variable to gain the Standard Deviation and the Mean. Empty data does not affect calculations. Although instances must be discarded, thereby reducing the amount of data. For the case of the Instagram Usage Habit itself, not getting the right pattern to deciding due to the data obtained is less. However, Construct Pythagoras Tree successfully done.
Encoding syriac letters in partition theory using extended Vigenere cipher

Since the topic of e-Abacus diagram appeared in 1978 through its application within the partition theory, where this representation was one of the ideas of cryptography, many researchers study this subject from a purely theoretical perspective without practical application to it. Many researchers have shown interest in it by starting to apply purely mathematically, but starting in the past few years they have been searching for ideas that serve the topic. This research deals with the Vigenere Cipher, which is one of the multi­alphabet ciphers and in the past it was one of the most popular ciphers. For its simplicity and resistance to frequency analysis tests for messages encoded with simple ciphers such as Caesar’s Cipher through. Its application to the Syriac letters, which is one of the oldest ancient languages, used exclusively when reading religious hymns, for Christians in some regions of the world and in other regions as a trading language. In 2017 it was carefully studied through the above diagram and made the application more confidential among its users in terms of trying to find a suitable agreement between the English language letters and Syriac. Special signs and symbols were used in the Syriac language to be able to address the problem of the difference in the number of letters between the two languages. As well as the possibility of using the Cipher between the letters of the Syriac language
Application of Expert System for Diagnosing Diseases Cocoa Plants Using the Forward Chaining Algorithm Method

Cacao plants originated from South America, then spread to North America, Africa and Asia. In Indonesia, cocoa has been known since 1560, but has become an important commodity since 1951. Cacao commodity plays an important role in the national economy and is a national mainstay commodity. This shows that cocoa is one of the results of plantation commodities that have a high economic value and play an important role as a source of foreign exchange through exports, as well as encouraging the regional economy, especially in rural areas. But behind the high value of cocoa production, there are problems faced, including the low quality of cocoa in Indonesia because cocoa plantations in Indonesia are threatened by pests and plant diseases. Lack of information that is known by the plantation and cocoa farmers about the types of diseases that attack cocoa plants, causing many cocoa plants that are not handled properly. If this is allowed to continue it will impact on the declining quality and production of cocoa plants. Current advances in information technology, especially cellular phones, can be used as a means to improve public services, one of the results of the development of cellular technology is the birth of cellular phones with the android operating system. In this research produced if the symptoms data entered could not find the type of cocoa plant disease because the input data did not match any disease data in the database, the system would display the word "Can not find the disease you are looking for because it is not related to fruit rot disease, stem cancer, vascular antraknosem, streak dieback, upas fungus and root fungus ". From the data of symptoms, diseases and relations above, the algorithm is depicted using a decision tree. Decision tree is a picture of tracking symptoms, determining the disease and concluding results in the form of a solution. In this application, using the Forward Chaining method so that tracking begins with the selection of symptoms experienced then the results of the diagnosis in the form of cocoa plant diseases.
A Novel SVD-Based Zero-Watermarking Scheme for Copyright Protection

In this paper, a novel zero-watermark copyright-protection scheme base on Singular Value Decomposition (SVD) for digital images is proposed, which takes advantage of the essence of SVD, Fuzzy Possibilistic C-Means clustering (FPCM), and image normalization. Image normalization provides robustness against geometric distortions of the host image, and the verification key from the local features are effectively generated by SVD and FPCM. Copyright are then been verified publicly by using digital signature and timestamp. With the verification key, the logo image can be extracted completely without the host image. Compared with relative schemes, the algorithm in the paper is more effective and robust against common image processing and geometric distortions.
On the Robustness of Causal Discovery with Additive Noise Models on Discrete Data

The Additive Noise Models (ANMs) framework for causal discovery has gained much attention due to its strong theoretical guarantees, as well as superior empirical performances on a wide range of real-world data. For observational data, however, quantization (or discretization) is often an inevitable preprocessing step depending on measurement precision requirements. It is thus crucial to understand how sensitive the ANMs are with respect to quantization. In this work, we study the robustness of ANMs framework (via both uniform and Lloyd's quantizers), with a particular focus on its discrete variants. Instead of applying small perturbations on data, we adopt a more aggressive approach by empirically evaluating the methods over various discretization levels that are potentially much smaller than the support of the original data. Surprisingly, the discrete variants are outperformed by the original ANM method developed for continuous data, which inspired us to design a simple yet e ective discrete method that is relatively robust compared with existing discrete methods on various synthetic and real-world data.
Kinship verification through facial images using multiscale and multilevel handcrafted features

We address kinship verification, which is a challenging problem in computer vision and pattern discovery. It has several applications, such as organizing photoalbums, recognizing resemblances among humans, and finding missing children. We present a system for facial kinship verification based on several kinds of texture descriptors (local binary patterns, local ternary patterns, local directional patterns, local phase quantization, and binarized statistical image features) with pyramid multilevel (PML) face representation for feature extraction along with our proposed paired feature representation and our proposed robust feature selection to reduce the number of features. The proposed approach consists of the following three main stages: (1) face preprocessing, (2) feature extraction and selection, and (3) kinship verification. Extensive experiments are conducted on five publicly available databases (Cornell, UB KinFace, Family 101, KinFace W-I, and KinFace W-II). Additionally, we provided a wide experiment for each stage to find the best and most suitable settings. We present many comparisons with state-of-the-art methods and through these comparisons, it appears that our experiments show stable and good results.
INTERDISCURSIVITY, INTERTEXTUALITY AND PRECEDENT TEXTS IN THE WEBSITE FORUM MEDIALECT

is article analyzes the phenomena of interdiscursivity, intertextuality, precedent texts and their functions in the websites forum medialect, which could be described as an online space, where specific language usage related to internet communication is manifested. The main purpose is, firstly, to comment on these functions and, secondly, to analyze their relationship to participants’ linguistic behavior established around a specific news media in the public discourse. By presenting specific solutions, the article discusses the categories of intertextuality, interdiscursivity, precedent texts, and medialect. The illustrations for the analysis are taken from predominantly news-oriented online journalistic websites, and the article analyzes the speech behavior of the participants in the comment section medialect. Based on specific examples, the article draws conclusions about the role of the internet media in the use of the three phenomena and of the manifestations of the cooperative and masking functions performed by intertextuality, interdiscursivity and precedent texts included in the linguistic range of the commentators. The roles of the three categories in the formation of thecommunicative act and its outcome are commented in terms of topics that are sensitive for both journalists and the commentators of their articles. These are mainly topics that attract multiple comments due to their significance for a group of users or for the whole society, such as ethnic minorities, migration, corruption, political practices, political actors, etc. Furthermore, they manage to provoke the activity, dexterity, originality of the ones taking part in the communicative acts and thus to create favorable conditions to observe web specific linguistic practices; to track specific language usage and the communicative behavior of the addressers in the public space, observable in the internet media.
A New Method for Aviation Safety Prediction Based on the Highest Density Domain in Uncertainty Environment

Based on the highest density domain analysis, a new algorithm is proposed to perform prediction of the aviation safety in an uncertain framework. In order to perform the prediction of the aviation safety, highest density domain (HDR) is combined with uncertainty description technique to obtain the aviation safety interval and the corresponding interval probability level in the proposed method. Firstly, the kernel density estimator is further utilized with to produce the probability distribution. Secondly, highest density regions based on the estimated probability density function have been considered, to further investigate the underlying information. Then the aviation safety interval and the corresponding interval probability level are given to complete the aviation safety prediction. Compared with the methods of traditional aviation safety causal prediction and aviation safety time series prediction, this paper considers the uncertainty properties of aviation safety more thoroughly. Discussions with the flight accident hourly rate of the US Air Force from 1991 to 1999 have evidenced the applicability and adaptability of the proposed method.
Empirical models for estimating the daily and monthly global solar radiation for Mediterranean and Central Anatolia region of Turkey

Climatology and geoengineering studies in literature clearly identify the relationship between solar radiation and global warming. These studies generally try to predict progress in global warming. To do that, it is essential to predict solar radiation rate, which is directly proportional to global warming. By the obtained solar radiation models in present study, researcher will be adequate to estimate solar radiation rate accurately for future prediction analysis. In this study, data imported from measurement stations were used to develop and validate radiation models by using regression and multi-regression models to estimate daily and monthly global solar radiation for Urgup, Karaman, Nigde, Isparta, Iskenderun and Adana regions. The statistical parameters (MBE, MPE, RMSE and R2) carried out to evaluate the performance of obtained estimation models. In addition, climatic properties of selected regions had been deeply examined to analyse usability of obtained estimation model for other regions where have similar climate characteristics.
Effect of the primer on barcode quality in ink-jet printing

It has been proposed to modify the surface of offset and coated paper with a special coating (primer) that ensures the high quality of ink-jet printing, specifically barcodes. The application of digital ink-jet printing using aqueous-based inks makes it difficult to achieve the required print quality on conventional paper. Ink-jet printing is widely used in the production of customized packaging and labeling products. Given that this type of products contains the printed barcode, it is necessary to ensure its functionality (readability) after printing.The primer ensures a controlled process of ink absorption at ink-jet printing, thereby improving the print quality. To this end, a composition of the primer was used on the basis of a water solution of the interpolymeric complex of polyvinyl alcohol (PVOH) and polyvinylpyrrolidone (PVP).The influence of the primer that contains different amounts of the interpolymeric complex on a change in the water contact angle of imprinted paper has been investigated.Prints on paper with and without the primer were obtained using an ink-jet printing method; quality of the line and barcode print was assessed. Such quality indicators for the line were defined as a line width on the imprint, a line blurriness at the line-paper interface, a line raggedness, and the optical density. In addition, the primer's effect on the barcode print quality at ink-jet printing was investigated.The study results make it possible to ensure the high quality of barcode printing on conventional print papers by using an ink-jet printing method. Applying the primer improves the line and barcode print quality. The barcode quality grade increases from the lowest (unacceptable) score of 0 (F) on paper without a primer to a score of 2 (C) on paper with the primer, which warrants that it is readable on packaging by a scanner.
Comparison of Various Technique of Recommendation Systems

Day by day, Word become digitalize and rapidly growth of information. Nowadays it has been observed that users more prefer online store rather than conventional methodology. User have huge number of data available so it difficult to find best option for them. This is overloaded problem face by user. So, this problem is solved by prioritize, filter and efficiently deliver relevant data/item. Recommender System is a software that gives very useful guidance for item or service selected by the user. Recommendation system is tool which facilitate the user by providing his personalise information. Aim of this paper introduce to the different types of recommender system which are mainly classified into three categories: collaborative filtering RS, content based RS and hybrid RS. We also discusses challenges which are facing during the application of recommendation system. In this paper we also compare each method and describe limitation of each method.
The Feasibility of Remotely Piloted Aircrafts for VOR Flight Inspection

This article analyzes the use of Remotely Piloted Aircrafts (RPA) in VOR (Very High Frequency Omnidirectional Range) flight inspection. Initially, tests were performed to check whether the Autopilot Positioning System (APS) met the regulatory requirements. The results of these tests indicated that the APS provided information within the standard regulations. A Hardware in the Loop (HIL) platform was implemented to perform flight tests following the waypoints generated by a mission automation routine. One test was performed without introducing disturbance into the proposed test platform. The other four tests were performed introducing errors in latitude and longitude in the APS into the platform. The errors introduced had the same characteristics as those measured in the initial tests, in order for the simulation tests to be as similar as possible to the real situation. The tests performed with positioning errors only did not lead to false misalignment detection. However, introducing positioning errors and a 4° VOR misalignment error, a misalignment of 3.99° was observed during the flight test. This is a value greater than the maximum one allowed by the regulations, and the system indicates the VOR misalignment. Five flight inspection tests were performed. In addition to the APS errors, tests with a modulation error were also conducted. Introducing a 4° VOR misalignment in conjunction with modulation error, a misalignment of 4.02° was observed, resulting in successful misalignment detection.
Apriori Algorithm On Car Rental Analysis With The Most Popular Brands

Nowadays, vehicle rental has become a common function for companies that have busy operational activities. Every company in carrying out operational activities requires a vehicle that is always there when needed. PT. Agung Solusi Trans is a vehicle rental company that rents various vehicle brands commonly used by customers to rent vehicles. In addition, PT. Agung Solusi Trans is also difficult to get updated information regarding the level of sales per period. Therefore, we need a decision support system and a method that can be used to design a business strategy that can provide an efficient and effective information, namely data mining using the a priori algorithm association method. The researcher specializes in taking only vehicle types as research material by selecting fifteen brands, including Agya, Yaris, Sienta, Calya, Avanza, Innova, Rush, Vios, Altis, Camry, Fortuner, Alphard, Hi Ace, Voxy, and Hilux. In analyzing the data, the writer uses a priori algorithm calculation by testing the hypothesis of two variables between the value of support and the value of confidence. After that, apriori algorithm is calculated using Tanagra. Based on the analysis done by the author, that the brands most sought after by customers are Calya, Avanza, Hilux. From these results can be used by PT. Agung Solusi Trans to prepare vehicle brands that are widely leased by customers and increase brand inventory.
Investigating EFL Students’ Perception of English Vocabulary Acquisition Through Online Gaming

This study focuses on university students’ opinion about secondary vocabulary acquisition through an online game. This study employs a descriptive quantitative method using questionnaire to gather the data. The whole population in this study was the fourth semester students of Akadami Bahasa Asing UMI. The samples were students who frequently play online game specifically Player Unknown’s Battleground (pubg), from class C1 until C4. The sample was taken by using purposive sampling technique. This research was conducted by distributing questionnaires to students who were respondents, after which they were input and analyzed through the SPSS program. The findings revealed that based on the 12 items that were given, the most chosen by students was item 2 and 8, students who understood the meaning of new vocabularies when playing games and students who made a new vocabulary list and wrote the translation in Indonesian were the opinions most chosen by students with an occasional scale of 60%.
A Mixed-Methods Study of Library Communication with Online Students and Faculty Members

To better understand, articulate, and improve the academic library’s impact on online populations, this two-phase mixed-method study examines library communication with online students and faculty. In phase I, online focus group participants responded to vignettes illustrating library communication scenarios. Results from phase I informed the creation of a questionnaire for phase II. Results of both phases demonstrated that patrons’ lack of knowledge about how and when to communicate with the library can serve as a communication barrier, that online patrons highly value being able to access librarians, and that a range of outreach strategies hold appeal.
Compensation of gamma effect and color cross talk in color-coded fringe profilometry

Color-coded fringe pattern is usually used to speedup phase unwrapping in surface profilometry. However, color-coded fringe pattern is subject to phase errors due to gamma nonlinearity and color cross talk. The phase error is conventionally reduced by isolating the color channels and by compensating the phase error in each channel. In this work, a phase error feedback calibration algorithm is proposed to eliminate the phase errors in a single process. The percentage phase errors are reduced from 1.08 ± 2.32 % to 0.73 ± 0.46 % with 95% level of confidence after an average of eight iterations of the proposed algorithm. The 3D reconstruction of the objects is improved in terms of accuracy and surface smoothness after calibration.