Reviewerly/exHarmony huggingface dataset:
The Effect of the Relationship between Organizational Excellence and Quality of Work-Life on Organizational Commitment: An Applied Study on the Health Services Sector in Taif City

Over the last era of the twentieth century, rapidly drastic changes in the economic environment have occurred. These changes have led to increasing the intensity of global competition. Therefore, the organizations’ success and survival are nowadays dependent on their rapid response to adapt to the ongoing changes. This paper mainly aims to examine the relationship between organizational excellence, quality of work-life, and organizational commitment. It also aims to identify differences among the respondents’ perceptions about their awareness of organizational excellence, the quality of work-life, and organizational commitment. To this end, the descriptive and analytical approaches were adopted to achieve the objectives of the study through collecting, describing, and analyzing data to examine the hypothesized relationships between the variables of the study. Data from published research, journals, and periodicals, in addition to data based on a field study, were used for analysis. The respondents of the study included employees in the health sector (government hospitals) in Taif City, namely doctors, nursing staff, and managers of medical departments. The results showed that there is a statistically significant effect of organizational excellence on both the quality of work-life and organizational commitment. It was found that there is no significant difference among the respondents’ perceptions about their awareness of organizational excellence, the quality of work-life, and organizational commitment according to their profession. Accordingly, it is recommended to emphasize the requirements of organizational excellence requirements regarding the leadership of the Saudi health institutions and review strategies, which are developed based on the standards of excellence.
Integrating Authentic Contexts in Teaching the Indonesian as Foreign Language: An Eclectic Model for Vocabulary Instruction

Authentic learning context is very important aspect for learner language acquisition, particularly to enhance learners' expressive skills for real communication.This paper discusses a model of vocabulary instruction which is integrated with reading an authentic text of current affair in Indonesia.For the teaching of Indonesian as second language, the need to use authentic material is a great challenge for either the teacher and the learners.Although resources and online multimedia can be easily accessed, however, selecting and organizing a comparably suitable topic for different learners' background in higher education need to be methodically prepared.By using multiple activities on teaching vocabulary through authentic reading material can develop student comprehension as well as their productive language skills.The eclectic model is developed to enhance the acquisition of new vocabularies through various tasks and reading activities.This eclectic teaching model is considerable handy choice to organize material using different methods and different techniques of different methods to serve different background of learners, age, gender, goal, either in short term and long term activities.
?⑤턿 ?곕━留먯쓽 援ъ뼱? 臾몄뼱

In this study, the linguistic features of spoken and written expressions of South and North Korean were examined through the analysis of quasi-spoken...
Deskripsi ketinggian korpus mandibula melalui arsip radiografi digital panoramik pada pasien di RSGM Unpad

Objectives: The purpose of this study is to obtain measurements of dentate and edentulous corpus mandibulae height on RSGM Unpad patients through digital panoramic radiograph. &#x0D; Material and Methods: This research is using descriptive method. Population in this research is digital panoramic radiograph from RSGM Unpad patient’s database. The technique used is purposive sampling, and obtained 50 panoramic digital panoramic radiograph samples.&#x0D; Results: The results shows the highest dentate corpus mandibulae height is in men 38,1 mm age 65-85 on left side of corpus and the highest edentulous corpus mandibulae height is in men 26,3 mm age 55-64 on right side of corpus.&#x0D; Conclusion: To summarize, the highest dentate corpus mandibulae height on the right side is in men age 45-54, on the left side is in men age 65-85, the highest edentulous corpus mandibulae on the right and left side is in men age 55-64, and overall corpus mandibulae height on the right and left side on women is lower than men in all ages.&#x0D;
Correction to: Requirements Engineering: Foundation for Software Quality

The book was inadvertently published with only two volume editors “Nazim Madhavji and Liliana Pasquale” whereas there should have been four “Nazim Madhavji, Liliana Pasquale, Alessio Ferrari and Stefania Gnesi”. The missing two volume editors were added in the book and the source line was updated accordingly.
Neuro-Fuzzy Networks and Their Applications in Medical Fields

The fusion of artificial neural networks and fuzzy logic systems allows researchers to model real-world problems through the development of intelligent and adaptive systems. Artificial neural networks are able to adapt and learn by adjusting the interconnections between layers, while fuzzy logic inference systems provide a computing framework based on the concept of fuzzy set theory, fuzzy if-then rules, and fuzzy reasoning. The combined use of those adaptive structures is known as "neuro-fuzzy" systems. In this paper, the basic elements of both approaches are analyzed, noticing that this blending could be applied for pattern recognition in medical applications.
Enhancing Security in Elgamal Cryptosystem Using Burrows-Wheeler Transformation and Run Length Encoding

In day to day life, a secure communication is an important criteria over non-secure network channel. While transmitting the plain text, it is necessary to compress the text before encrypting the plain text, so that the speed of transmission of data, data storage space can be increased and also the redundancy of data in the plain text can be reduced. The process of encoding characters forms the different format so that fewer bits will be representing the original data whereby the size of the original data is reduced. Compression technique plays a vital role to compress the plain text. Though different compression techniques like lossy and lossless are available, the lossless compression technique can recover the original text from the reconstructed text. While compressing the larger amount of text, the reconstructed text must be identical to the original text. The Burrows-Wheeler Transform (BWT) technique of lossless compression is used in this paper to transform the plain text and the transformation permutes the order of characters. To reduce the redundancy and also to increase the efficiency of algorithm, move-to-front transformation is done by BWT. Further, the transformation code is compressed by using run length encoding so that the security will be increased after applying the cipher text in Elgamal public-key algorithm. The transmission speed, the security of data can be increased. Due to double security of the plain text, the hackers may not hack the code easily.
DEVELOPMENT OF SCIENCE TEACHING MATERIALS BASED GUIDED DISCOVERY FOR TRAINING SCIENCE PROCESS SKILLS

The purpose of this research is to produce science teaching materials based guided discovery for training science process skills. This study adapted to 4D (four D models) that consists define, design, develop, and disseminate, but the stage is done only to develop stage. Teaching materials include syllabus, RPP, worksheets, student books, and science process skill test. This research tested at SMPN 5 Pamekasan. Feasibility of teaching material from the aspect of validity, practicality and effectiveness. Descriptive data were analyzed quantitatively. The validity results showed that teaching material is very valid. Practicality of teaching material show with the value of implementation learning process is excellent category and is supported by the activity of science process skills that have been shown in the study. The effectiveness of the teaching materials obtained from the increase pretest to posttest results of students science process skills with high category N Gain score and as much as 98% of students responded positively to learning guided discovery model. Based on the results, we can conclude that teaching materials based guided discovery that has been developed has been qualified validity, practicality, and effectiveness so that it can be used to train science process skills.
Image structural classification technologies based on statistical analysis of descriptions in the form of bit descriptor set

The problem of image recognition in computer vision systems is considered.We offer technologies for classifying visual objects using a statistical center based on a structural description of the image as a set of key point descriptors.The use of statistics for the bits of the description data helps to increase performance while providing sufficient classification performance.Results of experimental modeling and peculiarities of implementation of the developed approaches are discussed.
Theoretical principles of introducing the play-based methods to teachers’ training in the system of postgraduate education

The article analyzes the theoretical principles of teacher training in the system of postgraduate education for the introduction of play-based methods. It generalizes the scientific approaches of understanding the essence of the individual's readiness for the professional activity in general and pedagogical activity in particular. It is stated, that the readiness of a teacher for the professional activity is an integrative professional and personal phenomenon, the content of which is the integration of value-orientation, cognitive, constructive and reflexive components, and which is the result of long professional training and self-training of a specialist, new stage of his/her development. The peculiarities of the professional activity of elementary school teachers in modern conditions require the possession of play-based teaching methods, which are active in nature. Based on the analysis of the principles of the activity-based approach in education, it is stated, that they put forward their requirements for primary school teachers, including systematic formation of subjectivity as a teacher's ability to be an agent of childhood. The article analyzes the provisions of the integrative “learning through play” approach and the requirements for primary school teachers, which ensure the formation of students' learning experience with the help of the play resource. The work presents an author's understanding of the essence of the primary teacher's readiness to introduce the methods as an integrative personal-professional education, the system characteristics of a specialist, which determines his/hers ability to effectively use play-based teaching methods in the educational process and consists of value, cognitive and constructive components. Preparing a teacher for the introduction of play-based teaching methods is a complex and lengthy process that, in today's context, should take place in the space of postgraduate education
Study on Approaches and Methods for Cultivation of Young Marxists in Colleges and Universities

The Central Committee of the Communist Party of China greatly pushes forward young Marxists training projects, thus study on approaches and methods for cultivation of young Marxists in colleges and universities is of great significance for establishment of socialism with Chinese characteristics for a new era. However, current problems include: current young Marxists projects in colleges and universities are based on theoretical research; over-reliance on research results in the recent years, and lack of in-depth systematic research on writing thoughts of classical literature; lack of accurate assessment mechanism for practical activities; insufficient innovation of training methods; poor quality of training environment. Actively searching for relevant improvement measures based on the current problems has positive effects in promoting cultivation of young Marxists in colleges and universities.
Semi-supervised Acoustic Modelling for Five-lingual Code-switched ASR using Automatically-segmented Soap Opera Speech

This paper considers the impact of automatic segmentation on the fully-automatic, semi-supervised training of automatic speech recog-nition (ASR) systems for five-lingual code-switched (CS) speech. Four automatic segmentation techniques were evaluated in terms ofthe recognition performance of an ASR system trained on the resulting segments in a semi-supervised manner. For comparative purposesa semi-supervised syste Three of these use a newly proposed convolutional neural network (CNN) model for framewise classification,and include a novel form of HMM smoothing of the CNN outputs. Automatic segmentation was applied in combination with automaticspeaker diarization. The best-performing segmentation technique was also evaluated without speaker diarization. An evaluation basedon 248 unsegmented soap opera episodes indicated that voice activity detection (VAD) based on a CNN followed by Gaussian mixturemodel-hidden Markov model smoothing (CNN-GMM-HMM) yields the best ASR performance. The semi-supervised system trainedwith the best automatic segmentation achieved an overall WER improvement of 1.1% absolute over a semi-supervised system trainedwith manually created segments. Furthermore, we found that recognition rates improved even further when the automatic segmentationwas used in conjunction with speaker diarization.
Innovative Method for the Transmission of Knowledge in Food Engineering

Abstract Pedagogical research is a way of explaining the educational phenomenon. Through this, it develops optimal solutions to the problems raised by the instructive-educational process, by following the social exigencies. The experimental activity took place between October 2018 and February 2019 at the University “Lucian Blaga” of Sibiu, within the Faculty of Agricultural Sciences, Food Industry and Environmental Protection. The main objectives were reducing the percentage of students with weak exam results, developing the intrinsic motivation of students, using of teaching materials in increased efficiency, developing active, realistic, investigative thinking, synthetic and clear expression, encouraging teamwork, using of worksheets and self-evaluation tests. The subjects included in the research were students from the 3rd year of specialization “Food Products Engineering”. The methods of research used were direct observation, survey method, school document research method and test method. It concluded that students do not like the classical assessment, but prefer the evaluation with the help of working sheets or self-evaluation. They also preferred working methods such as worksheet discovery, conversation, problem-solving, and assaulting ideas.
Novel Approach for MRI Image Quality Analysis by Hybrid Preprocessing Techniques

Image pre-preparing methods are utilized to improve the nature of a image before handling into an application. This uses a little neighborhood of a pixel in an information image to get another splendor esteem in the yield image. These pre-preparing methods are likewise called as filtration and goals upgrade. The clinical image quality parameters are fundamentally clamor and goals. The fundamental goal of this paper is to improve the image quality by denoising and goals upgrade. A large portion of the imaging methods are corrupted by clamor. So as to protect the edges and form data of the clinical images, the effective denoising and an improved upgrade method is required. This paper focuses the normal, middle and wiener sifting for image denoising and an addition based Discrete Wavelet Transform (DWT) strategy for goals improvement. The presentation of these strategies is assessed utilizing Peak Signal to Noise Ratio (PSNR). From the outcomes, it uncovers that the effective denoising and goals upgrade method is basic for image pre-handling.
Editor’s Note (this is to you)

The journal approaches something of a milestone with this issue. The current iteration of ACRL’s professional journal of special collections librarianship practice began publication as Rare Books and Manuscripts Librarianship in 1986. When I was in library school a few years later, the only access points to content in the field was the library’s local card catalogue and the Library and Information Science Abstracts (LISA) index. For those of you competent, working professionals young enough to be my children, research was a matter of looking through print volumes—print, mind you—of annual issue after annual issue for citations appearing under index terms, then pulling the bound volumes from the shelves on another floor. The current title RBM: A Journal of Rare Books, Manuscripts, and Cultural Heritage was adopted upon acquiring and moving to a digital platform in 2000. Since that time, all ACRL journal content has been available digitally, creating a backfile of material accessible for the asking. In 2014 ALA enacted a platform migration to OJS (Open Journal System) software. RBM content also moved to the OJS platform.
Premonition of Terrorist Exertion Applying Supervised Machine Learning Proficiency

This undertaking examines an incorporating AI approach for arrangement and investigation of Global Terrorist Activity. Machine learning-based data processing is usually applied to predict acts of terrorist events by which the experts expect to urge a transparent picture of what the terrorists are pondering to accentuate defense against these organized acts. This project focuses on the prediction of terrorist activities from the Global Terrorism Database (GTD) with Supervised Machine Learning algorithms.
Effects of comprehensive geriatric assessment in predicting the fall risk among the aged

ObjectiveTo explore the effects of comprehensive geriatric assessment in predicting the fall risk among the aged.MethodsFrom January 2016 to June 2017, the comprehensive geriatric assessment handbook was used to evaluate a total of 139 patients in department of geriatrics at Beijing Hospital. The self-designed handbook was used to comprehensively assess the physical condition, functional status, mental health and social environment among the aged. We explored the correlation between evaluation results and incidence of fall in the aged.ResultsAmong 139 elderly patients, 21 of them fell within the past year with 15.1% for the incidence. Single factor analysis showed that there were statistical differences in the incidences of fall among patients with different results in timed up and go test, walking speed test and frailty grades (P<0.05) . Logistic regression analysis showed that the score of activities of daily living (ADLs) and timed up and go test were the independent influencing factors of fall among the aged.ConclusionsComprehensive geriatric assessment carries out comprehensive assessment from multi-angle and multi-dimension which effectively assess the fall risk in the aged comprehensively.Key words: Aged; Comprehensive assessment; Fall risk; Incidence
Criminal Face Identification System

Criminals information usually have the personal details about that person with pictures and other important details.For recognizing any kind Criminal we will be needing some details of that person, which is provided be a person who has witness the crime .In many of the cases the pixels of the already recorded image is very poor and very difficult to identify face. To sort this problem I am making a software. In which identification can be done in many ways like finger print, eyes, etc. One of the applications is face identification. Face is a primary focus of attention in social meetings which plays a very major role in carrying identification Firstly We will be matching the face with the available database. Secondly Putting the analytical component for finding same features from many images to get the similar of the targeted image This will help the law to find or criminal of the case . The results will shows about 90% of input photo will be matched with the stored data. This paper is to propose the criminal face identification system in which the images stored in the database will be matched to the image stored in another database to find out the criminals.I. INTRODUCTION Criminal face identification system is to identify the suspect in any investigation .In this we will be storing some images of the criminal along with their information in our database and that images are divided into several part of the face.These mage will be stored in another database.So when there will be any need to identify any criminal the eyewitness will see the cropped images and will construct an image from those slices and if that new face is matched from the image in our database than that individual will be considered as criminal.Thus using this project any criminal can be identified in a easy way 1) Administrator: The administrator is responsible for giving id and password to the operator.Administrator can add, delete, update the user login id. 2) Operator: The operator is one who belongs the investigation department.Operator can add , delete, update the information of the criminal from the stored data base.He can also make the new face of suspect by the help of witness.3) Eyewitness: The eyewitness is the main individual in the project.Eyewitness will be seeing the sliced part of the image which is stored in the database of the operator.The eyewitness will be selecting the cropped images in the database and those images will be freezed by the operator and by that a new face is constructed and the whole details will be retrieved from the database for that criminal.We can also construct a new image from those cropped part which will be considered as an identical face of the criminal.
Personalized Image Search using Hybrid Re-ranking Based on Ontology

Now a day's use of internet is increased with a big extent due to this large data is uploaded and downloaded by various internet users and a quite large-scale of data is processed.Users can create, share and comment Medias using social sharing websites like Flickr and YouTube so once we have such a huge data to handle on the internet we cannot find the right information which we are searching.The data generated by user called metadata provides multiple things like sharing, organizing multimedia contents and provides useful information related to multimedia management.Due to this reason we are proposing a "Personalized image search Engine by using ontological search and hybrid reranking Algorithms".By using this algorithm we can make our search personalized with a specific limit.This system is advantageous over Google because Google gives nonpersonalized information, which is not as per user desirable requirements.The basic premise of our system is to combine user preferences and query related search into user specific topics.This proposed system consists of two parts, first part contains hybrid re-ranking algorithm based on ontology about images as well as text and second part contains ontological user profiles for personalized image search.