Reviewerly/exHarmony huggingface dataset:
Sistem Informasi Pelayanan Umum pada Desa Benteng Kota Berbasis Web dengan Metode RAD

Benteng Kota village office is a village located in Tempilang District, West Bangka Regency. At the Benteng Kota village office the processing of population public services is still done manually. Therefore this website is made to facilitate the administration in handling public population services. The method used by the authors in this study is the Rapid Application Development (RAD) method. This system uses the PHP programming language with MySQL database. In implementing this existing system, it must be uploaded on the webserver so that it can be accessed in cyberspace. Because the implementation of the system is only a trial, the authors use XAMPP for the webserver. The tools used are object oriented (UML) tools. Based on the above problems, one alternative to this problem is to create a computerized system that will certainly make it easier. With the application of the existing population general service information system, it can overcome the problems and improve the work process which is still slow so that it is now faster and the handling in verifying caused by the feasibility of the village apparatus is also better.
ACQUISITION OF LANGUAGES IN CHILDREN OF 5 YEARS (CASE STUDY OF CHILDREN DISABLED WITH AUTHORIZED SPECIALITY)

ABSTRACT This study analyzed language acquisition in children aged 5 years with specificity in autism. The acquisition of the language includes the phonological level, syntactic level, and semantic level. At the phonological level the researcher attempts to describe the speech sounds produced by the subject of the research, then at the syntactic level the researcher attempts to describe the number of words in the sentence produced and compares the sentence pattern with the syntactic pattern that should be. Finally, the researcher attempts to describe the ability of the research subject in terms of interpreting the vocabulary that he has mastered. This study uses descriptive research methods with qualitative analysis. Researchers in this study present data and data analysis that actually occurs in the field, without interfering with research subjects. Based on data analysis stated at phonology stage the subject of research is at the development stage. This can be seen in the mastery of the process of forming a single vocoid sound and single contoids, the subjects of the study relatively lacked mastery of the whole phoneme. In the process of double and double contraceptive sound formation, the subjects of the study had difficulty. This happened because the articulation tools at that age were not maximal. Language acquisition of research subjects at the syntactic level can be expressed at the normal stage. The normal stage can be seen in the calculation of MLU (mean length of utterance) of the research subjects of 43, 3. These results can be categorized at stage X MLU (45+) at the age of +47 months. Based on these calculations it can be concluded that the ability of research subjects in vocabulary production is good. Whereas, the language acquisition of research subjects at the semantic level can be said to be low. This can be seen when the research subjects were not able to choose good diction as a sign of an object, event, concept, or idea that the research subject wanted. Based on the results of this study, the researcher gave suggestions to the next researcher to examine more deeply how the process of the subject of the study gained new vocabulary and how the subject of the research processed the words into a sentence context. Keywords: Case studies, language acquisition, children's language acquisition, psycholinguistic studies
THE COMPARATIVE ANALYSIS WITH BERT AND ELMOMETHODS FORMOVIE REVIEWS PREDICTION USING NLP

ELMo follows more traditional design and uses LSTMs for its computation of word embeddings while state of the artBERT uses Transformers which involves in two approach for the language modellng. The ELMo uses two layers each ofthem consists of forward and backward pass to compute the intermediate word vectors. It helps the ELMo to achievehigh efficiency compared to other traditional language models. On the other hand, the BERT uses the transformer for thesame thing the ELMo does. But instead of having two separate forward and backward pass layer, it uses single layer andanalyses the a given sentence from both sides using the unique masking technique. In the masking technique randomwords are masked in order to prevent the model to see the word indirectly to itself only. The dataset IMDB Large MovieReview Dataset used to compare the two different models is a well-balanced dataset which is hosted by the StanfordUniversity, US. It consists of variety of strings that help us to check performance of the language model in handlingdifferent context of the situation. The main comparison factor in it is the accuracy which is the benchmark of thisresearch.
Subject Guides: Technology Borrowing at Bender Library: Cable Identifier

An overview of the technology available at Bender Library's Media and Technology Center Which cable do you need?
PEMANFAATAN SISTEM INFORMASI MANAJEMEN DI LEMBAGA CABANG DAN RANTING (LPCR) ORGANISASI “M”

The purpose of this study is to provide information about the use of information systems in an organization. The development of science and information technology has indirectly changed the point of view and lifestyle of the people in carrying out their activities, one of which is the organization. Moreover, these organizations are large organizations such as M organizations, which have developed and have representation in all regions in Indonesia. Improving the performance of organizations in the future requires an information system and information technology. management information system is an information system designed to provide complete data as a basis for decision making in managerial activities. The use of management information systems in organization M has been applied well and maximally. The use of management information systems in M organizations has embodied a culture of collaboration within the organization. The management information system in organization M has become the foundation for leadership in taking policies / decisions.
ПРОБЛЕМА ПСИХОЛОГІЧНОЇ МОТИВАЦІЇ ЕКСТЕРІОРИЗАЦІЇ МАТЕРІАЛІСТИЧНОГО СВІТОГЛЯДУ

The article deals with topical issues of making, spreading and popularizing worldviews of materialistic type. A number of internal problems related to exteriorization have been identified, in particular: 1) grounds for motivating the subject and 2) psychological justification for the need or desirability of sacrifices and efforts required to advance their picture of the world.The materialistic picture of the world in the context of the present does not require the truth of faith or unbelief as salvific, as it is presented in the religious dimension of thinking. If it is more comfortable for a person to be in one or another illusion, then comfort and convenience themselves can act as criteria of quality of perception of life. The truth that the material world is not imbued with God cannot be advantageous to the subject of the phenomena of being, since the set of individual experiences in any picture of the world is essentially precisely affective in relation to the notorious «as it really is».Thus, a consistent herald of materialism is able to explain its behavior only in the discourse in which the semantic load of the ideological theses themselves is lost. If the preaching of the social parameters of my Self-consciousness is motivated by the appropriation of the alien world by subordination to these parameters, then does it not matter what to preach, if it is a manifestation of unconscious xenophobia or the desire for unanimity as a condition of comfortable social space? Both options are, in essence, the same need to socialize one’s outlook as a method of strengthening it.The original premise of biology does not make a fundamental difference between the mechanisms of experience: joy, pain, envy and sympathy. At the level of evolutionary biology, all human states have no axiological gradation. The basic directions of modern psychology inscribe the moral laws in the abyss of being, to provide a fundamental premise that gives meaning and significance to the activity of the psychologist.Conclusion: In context of the material universe, the task of transposing a set of neural network responses from one cranial box to another cannot be of fundamental importance. The absence of the category of “proper” and “proper” in materialistic ontology makes the question of motivation insoluble in philosophical discourse and problematized in the field of psychic research. In practice, the socio-psychological causes of exteriorization of one’s worldview compensate for these complexities of the philosophical plan.
Recommendation Assistant System for Social Networks and Search Services Based on Population Filtering Algorithm

The authors present a hybrid model of a recommender system.The system includes the characteristics of collaborative and content filtering.Also, the article describes a population filtering algorithm and the architecture of a recommendation system based on it.The results of experimental studies on an array of benchmarks and an estimation of filtering efficiency based on a hybrid model and a population algorithm are presented.The results are compared with the traditional method of collaborative filtering using the Pearson correlation coefficient.
Library of visual descriptors and machine learning algorithms for texture and text detection

In this article, we present the implementation of a solution for the text localization problem. More precisely, the solution presented in this article implements a prototype containing approaches for image characterization based on color and texture visual properties for supporting text region classification. As a result, we present a comparison study of several classifications systems for detecting text regions.
Deep Learning and Globally Guided Image Filtering Technique based Image Dehazing and Enhancement

Haze in images is due to natural environmental phenomena, which makes the image in a white shade noise. Haze removal is one of the most important research topics these days to due popularity of applications in real time surveillance from drones or any area under security. Both indoor and outdoor images are important for testing haze and its removal. Many image processing techniques are made by researchers to remove haze in a single image. Haze intensity can be calculated by a parameter known as perceptual fog density (PFD). It is important to analyze this parameter for all the techniques so as to get an idea of improvement. In this paper , a new approach is made by applying globally guided filtering technique with deep neural network. This proposed algorithm is implemented on MATLAB software and results are obtained by calculating the PFD in the existing and proposed technique. The four techniques are compared with each other. The techniques are global filtering (GIF), weighted global filtering(WGIF), Globally guided filtering(GGIF) and proposed technique i.e. Globally guided filtering with DNN (Deep Neural Network).In GIF, the fine structure of the image is generally not preserved and unrealistic image is obtained.In WGIF, the PFD obtained is highest.In GGIF, PFD is lower and Structure is not preserved, but in proposed algorithm, the PDF is minimum with fine structure, color intensity of the picture is of the best quality.
Compensatory Nursing for Patients with Post-Hepatitis B Virus Cirrhosis Through Ultrasound Imaging Information

Objective : To identify and classify the B-mode ultrasound images by utilizing the elastic algorithm of wavelet packet decomposition (WPD) and Bayesian belief network (BBN), thereby increasing the cure rate of cirrhosis by interfering the compensatory nursing for cirrhosis patients who were previously infected with hepatitis B virus (HBV). Method : First, the WPD-based elastic feature extraction algorithm (FEA), the texture FEA, the time series-based energy spectrum FEA, and the BBN are introduced. Also, the statistical feature distribution of the five fitting parameters is analyzed. Based on these three FEAs, the classification and recognition experiments of normal liver samples and liver cirrhosis samples are compared to complete the grayscale imaging of B ultrasound images. To further improve the accuracy of imaging, these elastic new features are used to build a BBN model, and the output posterior probability is used as a new parameter to realize liver ultrasound B-mode imaging. Results : Among all the classification models, the recognition rates based on the elastic new features are the highest. Especially, the average recognition rate of elastic features under random forest has reached 95%. The elastic parameters extracted from radio frequency (RF) signals obtained by conventional ultrasound diagnostic instruments are used for elastography, which can characterize the elastic information of liver tissue. Based on the elastic features, a BBN model is constructed. The pseudo-color coding of the output posterior probability of the model can characterize the stiffness of liver tissue. Also, its new parameter elastography intuitively displays the elastic information of liver tissue. Conclusion : The proposed elastic FEA of WPD and BBN have an excellent ability to identify and classify ultrasound images of cirrhosis, which can be applied in the clinical diagnosis of cirrhosis, as well as the compensatory nursing for patients with post-HBV cirrhosis.
COMPARATIVE STUDY OF STUDENTS’ VOCABULARY MASTERY ON 1000 LEVEL TEST BETWEEN THE EIGHTH GRADE OF SMPN 3 PURWOREJO AND SMPN 14 PURWOREJO

A b stract This  research is  aimed to find  out  whether  or  not  there is  significant  difference of the students’ vocabulary mastery in 1000 level test between SMPN 3 Purworejo and SMPN 14 Purworejo. This research belongs to quantitative research with a causal-comparative research as its research design. The researchers uses test to collect the data. Descriptive analysis and inferential analysis are employed to analyze the data. After having a series of computation, the researcher has some findings. First, the mean score of SMPN 3 Purworejo is 69.27 and SMPN 14 Purworejo is 64.11. Second, the result of hypothesis testing shows that ௩௔௟௨௘   is higher than ௧௔௕௟௘   (8.905>1.96) which means that Ha is accepted and Ho is rejected. The researcher can make conclusion that there is significant difference of the students’ English vocabulary mastery on 1000 level test between the eighth grade of SMPN 3 Purworejo and SMPN 14 Purworejo in the academic year of 2018/2019. K e ywords : Comparative, 1000 Level Test, Vocabulary, SMPN 3 Purworejo and SMPN 14 P urworejo
Technologies of individualization of learning in pedagogical master’s degree programme

Different perspectives of the scientists towards content, structure, forms, conditions for efficiency of individualizaion of learning as well as approaches to definitions of tutor, tutorship, tutor technology have been consolidated. In particular it is emphasized that thanks to individualization of learning such important qualities as self-dependence, proactivity, creativity, self-confidence, dedication, research-like style of activities are developed and shaped. Introduction of learning individualizaion technologies in high school education process helps saving time, provides additional opportunities for transition from traditional learning programme to individual self-education without extra burden on students; it encourages gaining necessary professional experience, development of individual style of learning activities; encourages strengthening of individual approaches in acquiring professional knowlege, skills, competencies as well as developing creativity; it also boosts intellectual development of future lecturers, establisment of subject-subject relationship between lecturers and students. Use of tutorship technologies is one of possible ways to implement learning individualization of students. Tutorship as a pedagogical technology meets performance requirements such as (conceptual importance, systemic approach, ability for reproduction, manageability, efficiency, algorithmic presentation, design). Tutorship technology implementation consists of four stages (preparatory and logistical stage; development of tutor’s individual learning programme on a given subject; tutor’s support per se; and completion stage) and does not foresee a separate post of a tutor as tutor’s functions in this case are fulfilled by a lecturer (lecturer-tutor). In such model of pedagogical activities tutor’s support is limited in time and in learning content. Tutorship technology is an opportunity for implementation of the principle of individualizaion of student’s learning; subject-subject relationship between lecturers and students; it changes the role of lecturers who become lecturers-educators, moderators, coaches, facilitators, instructors, mentors, partners, i.e. tutors.
Lectures and seminars on incompleteness

A formal system S is, as is well known, complete (definite with respect to decision) if each proposition p expressible in the symbols of S is decidable from the axioms of S, i.e., either p or non-p derivable from the axioms in finitely many steps by the rules of inference of the calculus of logic.
Leveraging Human Reasoning to Understand and Improve Visual Question Answering

Author(s): Ayyubi, Hammad Abdullah | Advisor(s): Cottrell, Garrison W. | Abstract: Visual Question Answering (VQA) is the task of answering questions based on an image. The field has seen significant advances recently, with systems achieving high accuracy even on open-ended questions. However, a number of recent studies have shown that many of these advanced systems exploit biases in datasets, text of the question or similarity of images in the dataset. To study these reported biases, proposed approaches seek to identify areas of images or words of the questions as evidence that the model focuses on while answering questions. These mechanisms often tend to be limited as the model can answer incorrectly while focusing on the correct region of the image or vice versa.In this thesis, we seek to incorporate and leverage human reasoning to improve interpretability of these VQA models. Essentially, we train models to generate human-like language as evidence or reasons/rationales for the answers that they predict. Further, we show that this type of system has the potential to improve the accuracy on VQA task itself as well.
Trustworthy of Resource Sharing on Collaborative Cloud Computing

In the present generation, the developments in cloud computing lead to a bright future for collaborative cloud computing (CCC). In CCC, the resources are universally scattered and distributed across the globe which belongs to different organizations, and the resources are used to provide services to the clients. Because of the self-governing highlights of elements in CCC, the issues of reputation management and resource management must be mutually communicated in order to guarantee the fruitful development of CCC. These two issues are jointly addressed in the past but when we address these two issues jointly, it creates twofold overhead. Hence, resource management and reputation management strategies are not well designed and they are not powerful. If the client selects the highest reputation node, then the other reputation nodes are neglected and there is no full utilization of resources and it doesn’t meet client Qos demands [1]. In order to overcome this, we propose a technique called Harmony. Harmony involves three stages: multi-faceted resource/reputation management, selection of multi Qos-oriented resource, and price-assisted resource/ reputation management.
ANALISIS SISTEM INFORMASI AKUNTANSI PEMBELIAN DAN PENJUALAN PADA BENGKEL AHASS MITRA KARYA MOTOR

The purpose of this research is to analyze the implementation of the accounting information system of purchasing and selling in Ahass Mitra Karya Motor workshop by utilizing PIECES Analysis Theory. The theory identifies the problems of the accounting information system implemented based on such aspects as performance, information, economy, safety, efficiency and customer service, in which the object is Ahass Mitra Karya Motor workshop. Of six aspects employed to identify the implementation of the accounting information system of purchasing and selling in Ahass Mitra Karya Motor workshop, three (economy, performance, and efficiency) are considered to meet the standard of PIECES theory; whilst the others (information, safety, and customer service) are considered fail to meet the standard. Keywords: accounting information system, purchasing, selling
LibGuides: Education and Training: Education

This guide features a recording of the Minding Your Business class and other materials for understanding how to use many of PPLD's Business Resources
”Första gången man får gensvar, första tecknet tillbaka, jag bara ryser när jag tänker på det” : TAKK och GAKK som språkstimulerande verktyg i förskolan

The purpose of this study is to examine how preschool teachers work with an argumentative and alternative communication (ACC) and the importance of language tools for children’s language developmen ...
Importing into Unreal Engine 4

In this chapter, we learn how to import the assets that we exported from Blender and Substance Painter into Unreal Engine 4.
Cryptocurrencies in Israel

The article dwells upon specific features of Israel’s cryptocurrency market. The author examines the use of bitcoin and blockhain technology. The research also presents basic characteristics of cryptocurrencies, worked out in whole or in part by Israeli creators, such as Isracoin and Zcash. The first one was conceived mainly as an internal Israeli form of digital currency and initially was distributed among citizens and companies registered in Israel. It was assumed that the new technology will interest even the ultra-orthodox sector receiving donations from abroad. The second was a joint project of American and Israeli scientists, and the main feature of this coin was the increased secrecy of transactions.
Construction of High Quality Course for Graduate Students in Engineering Majors Based on Ability Training

In higher education, engineering majors play an important role in all disciplines, and the number of engineering majors also accounts for the highest proportion.In the talent training system, graduate student belongs to a higher position.It is an important way to cultivate high quality and high ability graduate students through the construction of high quality courses.Through the investigation, the quality and ability of graduate students in engineering majors are obtained.Focusing on the quality and ability cultivation of graduate students, the study discussed the goal orientation of high quality courses, the design of knowledge content, explanation content, course assignment, and expounded the teaching methods of high quality courses.The study results can provide reference for the construction of high quality courses for graduate students in engineering majors.
Clustering Methods as a Recruitment Tool for Smaller Companies

With the help of new technology it has become much easier to apply for a job. Reaching out to a larger audience also results in a lot of more applications to consider when hiring for a new position ...
LibGuides: The Solar System: Home

What's in our solar system? Let's learn about the sun, moon, planets, and stars. A guide for K-1st grade.