Reviewerly/exHarmony huggingface dataset:
Factors of the Internal Environment and Their Impact on Organizational Excellence in the Public Universities in Southern Jordan from the Point of View of Workers

This study aimed at analyzing the internal environment factors and their impact on organizational excellence in the public universities in southern Jordan from the point of view of the workers. &#x0D; &#x0D; To achieve the objectives of the study, a questionnaire was developed to cover the study variables. The study was conducted on a community consisting of (4) public universities distributed in the southern governorates: Mu&amp;#39;tah University, Tafila Technical University, Al Hussein Bin Talal University, the University of Jordan-Aqaba Branch. &#x0D; &#x0D; Administrative employees at the middle administrative levels reached (301). The researcher conducted a comprehensive survey of the study community through using the analytical descriptive statistic methods, by using the Statistical Package for the Social Sciences (SPSS). &#x0D; &#x0D; The study reached a number of results, most important are: The general arithmetic mean of the respondents&amp;#39; perceptions of the dimensions of the internal environment factors in public universities in southern Jordan has reached a medium rating. Also, the general arithmetic mean of the respondents&amp;#39; perceptions of the dimensions of organizational excellence in the public universities in southern Jordan reached a medium rating. Among other results, there is a statistically significant positive relationship between the independent variable (internal environment factors), and its different dimensions and the dependent variable (organizational excellence) and its different dimensions.&#x0D; &#x0D; In light of the results of the study, the study recommended a number of recommendations, most important are: the necessity of preparing a working environment and its factors and the appropriate conditions that increase the organizational excellence, paying attention to developing the capabilities of the employees and training them according to studied scientific programs as well as the need to increase the volume of expenditure on research and development activities, because spending on such activities has become an investment spending.
Penerapan Metode Dempster Shafer Dalam Mendiagnosa Penyakit Faringitis

Pharyngitis is an inflammatory disease that attacks the throat or upstream of the esophagus. Sometimes also called a sore throat. This inflammation can be caused by a virus or streptococcus bacteria. Viral infections are usually the cause of colds and influenza which then results in inflammation of the throat. Dempster Shafer Theory is a mathematical theory for proof based on belief functions and plausible reasoning, which is used to combine separate pieces of information (evidence) to calculate the probability of an event
Usage of QR code for Resource Planning and Utilization

To solve the risk of counterfeiting and helping in revenue for goodwill of industry, usage of QR code for resource planning and utilization is followed.Many organizations are facing the problem of poor utilization of resources due to lack of planning and it leads to difficulty in achieving corporate organizational objectives.The work examines the need and scan a QR code by the android device where it directs to the data that displays resources used and planning measures.A convenient way of tracking and controlling process as it could be deployed on smart phones and other devices.It will reduce the worker's efforts to manually maintain the track of each item .Resource planning consume a desired quantity and excess inventory.This invention also comprises a system and storage.The handheld device automatically fetched an information from the server and it will produce manufacturing details.The objective of the proposed system is, the workers to maintain accurate machine details in analyzed manner and will reduce the process time.
Making Of Flash Card And Augmented Reality-Based Application As A Learning Media For Children With Special Needs

This study aims to measure the level of effectiveness of the use of flash cards and applications based on Augmented Reality as a learning aid.The use of Android applications and AR cards that can also function as flash cards has proven to attract interest and increase student motivation in learning.Number recognition material and addition of unit numbers are chosen as the initial experiment stage which aims to introduce the use of assistive devices in the form of tablet PCs or smartphones to the children.Based on the results of the study, both teachers and students felt helped by the existence of this application as a variety of learning media.The research method used in this study is Multiple Baseline Design Across Subjects, while the sampling technique used is census sampling technique.
What Am I Reading?: Article-style Native Advertisements in Canadian Newspapers

Native ads are ubiquitous in the North American digital news context.Their form, content and presentational style are practically indistinguishable from regular news editorials, and thus are often mistaken for informative content by newsreaders.This advertising practice is deceptive, in that it exploits loopholes in human digital literacy.Despite this, it is flourishing as a lucrative digital news advertising format.This paper documents and compares the 2018 Canadian news editorial writing and advertising practices in an effort to highlight their similarities and differences for potential automatic detection and categorization.We collected 10 native ads and 10 editorial pieces from 4 Canadian newspapers.The 80 analyzed articles consisted of 40 native ads contentmatched to editorials in the same newspaper.The individually-matched pairs and overall practices in the 2 groups were content-analyzed and compared.Native ads did not differ much from editorial articles in content but were likely to be surrounded by different types of advertising.In addition, advertisement labelling practices were inconsistent across national papers.We call for increased efforts in regulation and automatic detection of convert advertising by a more nuanced categorization and their more explicit labeling in the digital news.
Design and Development of Alcohol Packaging Anti-counterfeiting System Based on Augmented Reality Technology

With the rapid development of science and technology, alcohol packaging anti-counterfeiting technology tends to diversify. Because AR (Augmented Reality) technology has the characteristics of real-time interaction and pattern recognition, this paper puts forward an alcohol packaging anti-counterfeiting system based on AR technology. The whole frame structure, interface conception, function realization, user experience and information feedback of the system are designed. The interface design and function development of the system APP are carried out by using HTML5 tools, and the model identification, verification and video playback are realized by AR development tools. This system has cross-platform and good compatibility and can be used in both Android and IOS systems. The experimental results show that the system has excellent recognition performance and anti-counterfeiting performance, and the user can understand the commodity information in all directions in the process of identification.
The Feasible Textbook for Algebra Learning

The aim of this study has produced a textbook for algebra learning.This study was used Research and Development (R&D) method but restricted to textbook validity with steps: (1) exploration study; (2) initial product develop-ment; and (3) expert validity and product revision.The subject of this study were college students of the mathematics education department at Sarjanawiyata Tamansiswa University in the 2018-2019 academic year.Material expert and textbook expert who validate are lecturers of Mathematics Education Depart-ment with a minimum academic position as Expert Assistant.The mean score for the material is 4.60 which is categorized very well, while the mean score for the textbook is 4.65 which is categorized very well too.Based on the validation and product revision, it can be concluded that the algebra learning textbook that has been designed is feasible.
Scalable Image Self-Embedding Based on Dual-Rate SPIHT-LDPC Reference Generation Scheme

Image Self-Embedding is a method of embedding two sets of data into the original image, authentication data for tamper detection and reference data for image recovery.In this paper, a scalable self-embedding method is proposed based on dual-rate source-channel coding for reference data generation.The proposed method uses Set Partitioning in Hierarchical Tree (SPIHT) algorithm for source coding and Low-Density Parity Check (LDPC) for channel coding.Accordingly, the proposed recovery system provides higher reconstruction quality at low tampering rates, while it can handle higher tampering rates with less reconstruction quality.Therefore, the proposed method has the ability of both preserving the image quality and recovering higher tampering rates.Simulation results show noticeable improvements compared with the related self-embedding methods in the literature.
When Might Human Indexing Be Strongly Justified

The paper is concerned with the justification for human indexing, in the modern era. We understand human indexing in a classic sense, of human description of information objects in accord with a controlled vocabulary. A justification for human indexing would be, when it yields a value commensurate with its cost. A long historically established value for retrieval systems is selection power, or an enhanced capacity for informed choice for the searcher. The question of the justification for human indexing is made analytically tractable by reversing the historical order of development. We ask, what forms of selection power are not readily obtainable from human use of computationally generated selection processes in searching? Selection processes widely available for searching written documents, for words, phrases, and combinations of words and phrases, are reviewed in ascending order of creativity. Human indexing is strongly justified, when the exchange value involved in producing its use value (likely to be realized as generic power) are commensurate with the exchange value it can command. The argument is conducted with written documents as examples but the possibility of extension of its conclusion to non-written documents is indicated.
The Visual Problem of High Energy Physics, Gravitation and Cosmology

This article describes a model of Unitary Quantum Field theory where the particle is represented as a wave packet. The frequency dispersion equation is chosen so that the packet periodically appears and disappears without form changings. The envelope of the process is identified with a conventional wave function. Equation of such a field is nonlinear and relativistically invariant. With proper adjustments, they are reduced to Dirac, Schrödinger and Hamilton-Jacobi equations. A number of new experimental effects have been predicted both for high and low energies. Fine structure constant (1/137) was determined in 1988, masses of numerous elementary particles starting from electron were evaluated in 2007 with accuracy less than 1 %.2 pentaquarks, 휃휃+barion, Higgs boson and particle 28 GeV were discovered 11 years later, all of them were evaluated with high accuracy before.
Automatic Recognition of the NIK in Electronic KTP

Automatic recognition of NIK is a process carried out to perform numeric character recognition stages.The purpose of automatic recognition of NIK is to produce a text that contains images by processing E-KTP images.The preprocessing stage has 4 steps, namely resizing, grayscaling, binarization and segmentation.The segmentation method which is the projection profile.The extraction phase uses invariant moments of HU and Intensity of Character (IoC).The accuracy of our results obtained for the segmentation process is 98.57% of 70 E-KTP data.The accuracy of our results obtained to reach the peak has a value of 1-fold of 86.96%, a 2-fold of 91.30% and a 3-fold of 78.26%.
Very Small Image Face Recognition Using Deep Convolution Neural Networks

The very small size of face image recognition is one of a significant case in computer vision because it can be applied in many applications in the real world. The main problem of face recognition with a small size is that the area of the acquired face is very small so that many facial features cannot be obtained. In this paper, we propose a novel method using deep convolution neural networks (DCNNs). First the image resolution is enhanced using CNN and then it is classified using the backpropagation algorithm. To verify the proposed method, we use AR Database. The results show that the identification accuracy is very good but still need a larger database for further verification.
DEVELOPMENT OF PSYCHOLOGICAL CULTURE OF TEACHERS OF HIGHER EDUCATION IN QUALIFICATION DEVELOPMENT COURSES

The article presents the results of the theoretical and empirical research of the psychological culture of teachers of higher educational institutions. The basic characteristics of this psychological phenomenon are considered. The significance of psychological culture in the professional work of the professors of university. The article gives a way of development and formation of the level of psychological culture of teachers. The results of the study may be of interest in the development of programs for the training of teachers.
RESPONS ANAK TERHADAP CERITA RAKYAT MALIN KUNDANG

Reception study is a review of literature relating to the acceptability of the reader, reception in the research and study of children’s literature there are several theories about the nature of literature and its reception horizon approach and its reader, study psychology literature has a functional relationship to the reception of literature, the reader psychology and child psychology reader. Theories abaout the nature of children’s literature , children’s literature begins with some types of children’s literature. Research of literature, namely the study of the reception of literature that analyzes the child’s response to foklore Malin Kundang. reason researchers use the story of Malin Kundang is favored by many people ranging from children to adults, other than that a lot of the mandate contained in the story of Malin Kundang.&#x0D; Key words : the reception of literature, children’s literature, folklore
On Definability of Connectives and Modal Logics over FDE

The present paper studies two approaches to the expressiveness of propositional modal logics based on first-degree entailment logic, FDE. We first consider the basic FDE-based modal logic BK and certain systems in its vicinity, and then turn to some FDE-based modal logics in a richer vocabulary, including modal bilattice logic, MBL. On the one hand, model-theoretic proofs of the definability of connectives along the lines of [McCullough, “Logical connectives for intuitionistic propositional logic”, Journal of Symbolic Logic 36, 1 (1971): 15–20. DOI: 10.2307/2271511] and [[17] Wansing, “Logical connectives for constructive modal logic”, Synthese 150, 3 (2006): 459–482. DOI: 10.1007/s11229-005-5518-5] are given for various FDE-based modal logics. On the other hand, building on [Odintsov and Wansing, “Disentangling FDE-based paraconsistent modal logics, Studia Logica 105, 6 (2017): 1221–1254. DOI: 10.1007/s11225-017-9753-9], expressibility is considered in terms of mutual faithful embeddability of one logic into another logic. A distinction is drawn between definitional equivalence, which is defined with respect to a pair of structural translations between two languages, and weak definitional equivalence, which is defined with respect to a weaker notion of translations. Moreover, the definitional equivalence of some FDE-based modal logics is proven, especially the definitional equivalence of MBL and a conservative extension of the logic BK□×BK□, which underlines the central role played by BK among FDE-based modal logics.
Crowd Recognition System Based on Optical Flow Along with SVM classifier

&lt;p&gt;The manuscript discusses about abnormalities in a crowded scenario. To prevent the mishap at a public place, there is no much mechanism which could prevent or alert the concerned authority about suspects in a crowd. Usually in a crowded scene, there are chances of some mishap like a terrorist attack or a crime. Our target is finding techniques to identify such activities and to possibly prevent them. If the crowd members exhibit abnormal behavior, we could identify and say that this particular person is a suspect and then the concerned authority would look into the matter. There are various methods to identify the abnormal behavior. The proposed approach is based on optical flow model. It has an ability to detect the sudden changes in motion of an individual among the crowd. First, the main region of motion is extracted by the help of motion heat map. Harris corner detector is used for extracting point of interest of extracted motion area. Based on the point of interest an optical flow is estimated here. After analyzing this optical flow model, a threshold value is fixed. Basically optical flow is an energy level of individual frame. The threshold value is forwarded to SVM classifier, which produces a better result with 99.71% accuracy. This approach is very useful in real time video surveillance system where a machine can monitor unwanted crowd activity. &lt;/p&gt;
Attention-Aware Adversarial Network for Person Re-Identification

Person re-identification (re-ID) is a fundamental problem in the field of computer vision. The performance of deep learning-based person re-ID models suffers from a lack of training data. In this work, we introduce a novel image-specific data augmentation method on the feature map level to enforce feature diversity in the network. Furthermore, an attention assignment mechanism is proposed to enforce that the person re-ID classifier focuses on nearly all important regions of the input person image. To achieve this, a three-stage framework is proposed. First, a baseline classification network is trained for person re-ID. Second, an attention assignment network is proposed based on the baseline network, in which the attention module learns to suppress the response of the current detected regions and re-assign attentions to other important locations. By this means, multiple important regions for classification are highlighted by the attention map. Finally, the attention map is integrated in the attention-aware adversarial network (AAA-Net), which generates high-performance classification results with an adversarial training strategy. We evaluate the proposed method on two large-scale benchmark datasets, including Market1501 and DukeMTMC-reID. Experimental results show that our algorithm performs favorably against the state-of-the-art methods.
THE ANALYSIS OF GRAMMATICAL ERRORS SPOKEN BY MALANG TOURIST INFORMATION CENTER’S CUSTOMER SERVICES

This research analyzes the grammatical errors in spoken English of customer services of Malang Tourist Information Center. The objectives of this research are to determine the types of errors and the cause of errors spoken by the customer services. The data were collected from four customer services by recording their conversation between them and the tourists. The study only focuses on the customer service’s utterances. The design of this research is descriptive qualitative research and the instrument is researcher herself. The finding of this research showed that the most dominant error was error of omission with 44 numbers (44%), followed by error of selection with 38 numbers (35%), error of ordering with 14 numbers (12%), and error of addition with 8 numbers (9%). The research also investigated that the causes of errors spoken by customer services were interlingua and intralingua transfer. Interlingua transfer was considered as the major cause of errors of customer services of Malang Tourist Information Center.&#x0D; &#x0D; Keywords: grammatical errors, error analysis, utterances
Correction: Quantifier spreading: Children misled by ostensive cues

This article details a correction to the article É. Kiss, Katalin &amp;amp; Tamás Zétényi. 2017. Quantifier spreading: children misled by ostensive cues. Glossa: A Journal of General Linguistics 2(1). 38. DOI: https://doi.org/10.5334/gjgl.147
PENGARUH PENGGUNAAN MEDIA GAMBAR TERHADAP KETERAMPILAN BERBICARA BAHASA INGGRIS

ABSTRACT The purpose of this research is to find out the effect of the using of flash cards towards student’s speaking ability in STBA Pertiwi, Cileungsi. The researchers hope that this research can give advantages to all of lecturers and students in doing the learning process, especially in English speaking ability. The method used in this research is experiment method using two groups of classes. One class as experiment class, where the researchers are giving the materials using flash cards. While the other class is control class, where the materials are given with lecturing method. Based on the result of the data analysis, it can be concluded that the average score for English speaking ability in control class is 64,7. The median is 61.5. The modus is 57,5. The variance is 258, 6256. And the standard deviation is 16,082. In the other hand, the average score for English speaking ability in experiment class is 70,5. The median is 71,21. The modus is 85,056. The variance is 229, 128. And the standard deviation is 15,14. It is also obtained that the equation of Total Variance is 15,62. And the TObserved is 1,69 and the T table is 1,667. So that Tobserved &gt;Ttable; 1,69&gt;1,667 that is significant. It can be concluded that there is positive and significant effect of using of flash cards towards student’s speaking ability in STBA Pertiwi, Cileungsi.
Role of Plant-Microbe Interactions in Rhizoremediation of Petroleum Product-Polluted Nigerian Soils

Plant-microbe interactions in petroleum product-contaminated soils were examined under field conditions, to analyze the effects of environmental factors on rhizoremediation.Different plant types (elephant grass, cassava, carpet grass, Indian bamboo, fern, palm and a mixture of these plants) were considered.The abundance of effective indigenous microorganisms (EIM) and remediation time were also considered.Eight soil samples were collected from crude oilcontaminated sites of Ogoni, Rivers State, Nigeria.Total viable counts were taken using spread plate methods.Hydrocarbon utilizing microorganisms using mineral salt agar with crude oil vapor phase gave counts in the range of 10 2 -10 8 .Gas Chromatographic -FID methods gave results of 9 field samples for TPH to range from 0.96 mg/kg for control to 4,650 mg/kg for oil well 3 without vegetation.Polyaromatic hydrocarbon (PAH) of 9 field samples ranged from 0.26 mg/kg for control to 30.066 mg/kg depending on the extent of pollution of the site.Mixed plant population showed abundance of EIM (10 8 ) and greater TPH and PAH removal.The effect of time on the concentration of TPH and PAH in the different samples show that significant difference exist, P -value = 0.420.Microbial counts are significantly different over time, also microbial counts are significantly different in the different samples (F-value = 3.15, 2.76, 2.53, 2.1, 1.92 and 1.7) for rows, columns and layers.Local Nigerian plants could promote rhizoremediation of crude oil polluted soils.