Reviewerly/exHarmony huggingface dataset:
Deep Learning Architectures and Techniques for Multi-organ Segmentation

Deep learning architectures used for automatic multi-organ segmentation in the medical field have gained increased attention in the last years as the results and achievements outweighed the older techniques.Due to improvements in the computer hardware and the development of specialized network designs, deep learning segmentation presents exciting developments and opportunities also for future research.Therefore, we have compiled a review of the most interesting deep learning architectures applicable to medical multi-organ segmentation.We have summarized over 50 contributions, most of which are more recent than 3 years.The papers were grouped into three categories based on the architecture: "Convolutional Neural Networks" (CNNs), "Fully Convolutional Neural Networks" (FCNs) and hybrid architectures that combine more designsincluding "Generative Adversarial Networks" (GANs) or "Recurrent Neural Networks" (RNNs).Afterwards we present the most used multi-organ datasets, and we finalize by making a general discussion of current shortcomings and future potential research paths.
Analisis Kelayakan Buku Siswa Kelas Vi Tema 7 (Kepemimpinan) Kurikulum 2013

This study aims to analyze and describe the feasibility of the content and presentation of books of students in grade VI Theme 7 Curriculum Leadership 2013. This type of research is qualitative research, with content analysis design. Data collection techniques are carried out through documentation techniques, with instruments in the form of checklists. Data analysis techniques using reduction, presentation and drawing conclusions are carried out through several stages, namely: preparation of selecting textbooks, making scoring criteria, analyzing standards / categories that have been set, calculating the percentage of each aspect, determining the percentage of textbook assessment criteria with a percentage of 81.25 < % < 100 is very feasible, 62.5 < % ≤ 81.25 decent, 43.75 < % ≤ 62.25 less feasible and 25 < % ≤ 43.75 not feasible, and the conclusion of the theories analyzed. Data loss using theoretical triangulation techniques. The results showed that this textbook meets the eligibility criteria for the contents of the book of grade 6 students of SD/MI Tema 7 Curriculum Leadership 2013 in a very feasible category with a percentage of 85.2% with the following details. a) the dimension of spiritual attitude with a percentage of 45.8 % belongs to the category less worthy b) The social dimension with a percentage of 100% belongs to the category of highly feasible c) the knowledge dimension with a percentage of 100% belongs to the category very worthy d) The Dimension of Skills with a percentage of 95% belongs to the category is very feasible. In the aspect of feasibility of presenting books of grade 6 students of SD/MI Theme 7 Curriculum Leadership 2013 in the category is very feasible with a percentage of 87.5% of the details as follows. a) Serving techniques with a percentage of 100% fall into the category of very decent b) Supporting presentation with a percentage of 75% fall into the category worthy c) Presentation of learning with a percentage of 100% belongs to the category is very feasible d) Completeness of presentation with a percentage of 75% belongs to the category is very feasible.
Managing Group Discussion (A Case Study of 8thGrade Student of SMPN 8 Hulu Sungai Tengah)

The researcher is about teaching English learning conducted on how teachersmanaged group discussion at SMP Negeri 8 Hulu Sungai Tengah. The aim of thisresearch was that the researcher want to know about how teachers overcome thedifficulties in managing groups discussion.A teacher at SMPN 8 Hulu Sungai Tengah was selected as the subject of thisstudy. The object of this study is the difficulties faced by teachers in managing groupdiscussion. To collect the data, the authors used several techniques such as questionnairesand interviews as supporting data. Researcher use descriptive qualitative methods asresearch methods, where researcher collect and analyze data without manipulation, thentake conclusions based on data analysis.Based on the results, the researcher found how teachers managed discussiongroups at SMPN 8 Hulu Sungai Tengah. These are teacher set time limits to discouragegroup from dawdling, plan for each stage of group work, carefully explain to the class howthe groups will operate and how students will be graded, and teacher check to see if thegroups have done the assignment properly.
Cation ordering and crystallinity of dolomites in thegeological record

Despite the fact that dolomite is an ubiquitous rock-forming carbonate in the geological record, the mechanism (or mechanisms) of its formation in nature remain elusive. The solution of such a mineralogical problem does not only require further experimental work but also a more detailed crystallochemical characterization of dolomites formed in different environments during the Earth’s history.
Research Guides: Helpful Tools for Online Research/Study : Create Footnotes from BIbliography Entries

This guide provides basic informaiotn on a number of toosl for performing research and related tasks such as those for citations and note-taking.
보육교사의 직장 내 사회적 지지와 행복감이 직무만족도에 미치는 영향

This study sought to examine the impact of social support and happiness on the job satisfaction of early childhood teachers in order to propose ways to support the improvement of their job satisfaction. To this end, surveys were administered to early childhood teachers working at daycare centers located in the Seoul metropolitan area, and the results were obtained by analyzing 208 copies of the collected surveys. The data analysis showed that first, there was a significant positive correlation among the social support, happiness, and job satisfaction of early childhood teachers in the workplace. Second, both social support in the workplace and the happiness of early childhood teachers affected job satisfaction, and social support in the workplace was found to have a greater impact on job satisfaction than happiness. As a result of the study, it was confirmed that support at the macro, social, and national levels―along with the efforts of individuals and institutions―should be supported to improve the job satisfaction of early childhood teachers. Based on this, specific proposals to enhance the job satisfaction of early childhood teachers are made.
Matrix Data Deep Decoder - Geometric Learning for Structured Data Completion

In this work, we present a fully convolutional end to end method to reconstruct corrupted sparse matrices of Non-Euclidean data. The classic example for such matrices is recommender systems matrices where the rows/columns represent items/users and the entries are ratings. The method we present is inspired by the surprising and spectacular success of methods like deep image and ‘‘deep decoder for corrupted image completion. In sharp contrast to previous Matrix Completion methods wherein the latent matrix or its factors directly serve as the optimization variable, in the method we present, the matrix is parameterized as the weights of a graph neural network acting on a random noisy input. Then we are tuning the network parameters to get a result as close as possible to the initial sparse matrix (using its factors) getting that way state of the art matrix completion result. In addition to the conceptual simplicity of our method, which is just Non-Euclidean generalization of deep image priors, it holds fewer parameters than previously presented methods which makes the parameters more trackable and the method more computationally efficient and more applicable for the real-world tasks. The method also achieves state-of-the-art results for the matrix completion task on the classical benchmarks in the field. The method also surprisingly shows that untrained convolutional neural network can use a good prior not only for image completion but also for Matrix Completion when redefined for graphs.
IMPROVING STUDENTS’ ABILITY IN WRITING RECOUNT TEXT USING THINK, TALK, WRITE STRATEGY OF FIRST GRADE AT SMK NEGERI 1 TOLITOLI

The purpose of this study is to find out the empirical evidence concerning whether story mapping  is effective or not to improve students reading comprehension. Story mapping is use to motivate students in reading because it helps them to visualize the important elements of story and make students’ thoughts to be more organized, the researcher is interested to conduct a research by applying the technique of story mapping toward students’ reading comprehension through the material. This study was held in March 2015 at SMAN 1 Ogodeide. This study used a quantitative method in the design of pre-experimental study. The sampling technique use in this study is purposive sampling. The researcher took one class as the subject of this study. The sample is XB class. The improvement of students’ score can be seen from the differences between pre-test and post-test. The mean score of pretest is 34.24 and it improves to 77.52 in post. Moreover the Minimum Mastery Criterion of English lesson is 70 (seventy). Then the data of both test are analyzed by using T-test, and the result showed that the T-test value 18.27 was greater than T-table value 2.064. According to the criteria of the test, the result showe that there is a significant improvement between students' achievement in reading comprehension by using story mapping before and after pre-test and post-test are conducted. It means that story mapping technique is effective and applicable at the X grade of SMAN 1 Ogodeide to teach students’ reading comprehension. Key words: Improving, reading comprehension, story mapping
Creative Flute Playing in Work with Beginners

The article is addressed to faculty members of departments of wind and percussion instruments in children’s music schools and children’s schools for the arts for collaborative work with beginners in elementary fl ute classes. The article proceeds to describe and formulate questions and playing assignments with utilization of the repertoire of folk melodies for bringing out the instructor’s and pupil’s artistic approaches in working with original musical texts and cognizing its content-related side on the early stages of studies in children’s music schools and children’s schools for the arts. The term “playing assignments” presume role playing in the dialogues of two fl utes or fl ute and piano with a revision and transformation of the primary musical text (the arrangement). Due to the technique of semantic analysis, the instructor may demonstrate to children the secrets of arrangements; they will understand how to make use of various means of transformation of the musical texts, as well as the semantic fi gures involved, acquaint themselves with the peculiarities of construction of folk song melodies and learn to disclose the boundaries of musical retorts in musical dialogues.
Study of Impact of Linke Turbidity on Solar Radiation over Kathmandu Valley

Population growth, mechanization, and industrialization have now made humanity the equivalent of other natural processes in its effect on air-pollution levels and associated climatic change. Link turbidity is an important parameter for assessing the air pollution of Kathmandu (Lat.:27.72oN, Long.: 85.32oE and Alt.: 1350 m. above sea level). The Because of the unavailability of spectral measurements, a model has been used to estimate the Linke turbidity factor (TL) from broadband measurements of Global Solar radiation on 2012 by using CMP6 paranometer. The average value of extinction coefficient (K) and Linke turbidity are 0.69 ± 0.03 and 5.53±0.23$ respectively, which can be compared with other sites around the world. Relationship between turbidity co-efficient with meterological parameters (humidity, temperature and water contained) have been investigated further.
The Effect of Picture and Picture Models on Learning Results Comparing in Numbers Class II Students of Sdn 101 Kota Utara the City of Gorontalo

The purpose of this study is to determine the effect of using the picture and picture model on student learning outcomes in comparing whole numbers in grade II students of SDN 101 Kota Utara Kota Gorontalo. This type of research is quantitative descriptive research design with pre-experimental design, one group pretest posttest design. Sampling was done by saturated sampling where the sample was taken based on the entire population used. So that the sample in this study were all students of class II as many as 23 students. The data collection technique is done with the prerequisite ice: validity test, reliability test, normality test and hypothesis testing using tests.The results showed the average value before using the Picture and Picture model was 42.75 and after using the Picture and Picture model was 67.03. This is shown by the results of the t test, it is obtained tcount = 7,712 and ttable = 2,074 means tcount> ttable, H0 is rejected and Ha is accepted. Thus it is concluded that there is an effect of the use of the picture and picture model on student learning outcomes in comparing whole numbers in class II SDN 101 Kota Utara Kota Gorontalo
DEVELOPMENT OF A NEW REGRESSION TESTING APPROACH WITH SEMI-AUTOMATIC TEST SELECTION FOR AUDITING AN IMS DATABASE

This work is devoted to the development of a new regression testing approach with semi-automatic test selection. Unlike previous works, the proposed approach is based on semi-auto-matic selection of tests taking into account various important factors, such as execution time, the required number of test executions, manual priority of tests, the result of previous tests, and test functionality. This allows you to fine-tune the sequence of regression tests in semi-automat-ic mode.DOI: 10.14529/secur200405
Trigger Factors of Fraud Triangle Toward Fraud On Financial Reporting Moderated by Integration Of Technology Industry 4.0

This study examines triggers factors of the fraud triangle, core of all fraud auditing standards, for assessing the likelihood of fraudulent financial reporting. The Fourth Industrial Revolution (Industry 4.0) brings vital changes to industries, which forces people to face and act on these changes and may get impacted on fraudulent financial reporting. As Industry 4.0 ushers the use of new technology, the use of computerized systems for huge data analysis has advantage and disadvantage in audit and fraud detection. Therefore, our research uses the integration of technology 4.0 as a moderating variable on fraudulent financial reporting. This study also aims to determine fraud with the Beneish M-Score as a financial forensic tool to gage potential fraud in firms' financial statements. The population of this study was drawn from five priority sectors of the Making Indonesia 4.0 program, namely industries in five manufacturing subsectors listed on the Indonesia Stock Exchange. Results indicate that pressure does not have significant effect on fraudulent financial reporting. On the other hand, the opportunity with effective monitoring variable has a negative significant effect on fraudulent financial reporting, whereas rationalization has a positive significant effect on fraudulent financial reporting. The integration of Industry 4.0 variable moderates the effect of fraud on fraudulent financial reporting.&#x0D; Keywords: fraud triangle, technology industry, pressure, opportunity, rationalization
JARINGAN SYARAF TIRUAN PREDIKSI JUMLAH PENGIRIMAN BARANG MENGGUNAKAN METODE BACKPROPAGATION ( STUDIKASUS: KANTOR POS BINJAI )

Artificial neural networks are a branch of AI (Artificial Intelligence). Artificial neural network is an information processing paradigm which is inspired by the human brain system in receiving information and solving problems by carrying out the learning process through changes in the weight of its synapses. Pos Indonesia is an Indonesian state-owned company engaged in postal services. Currently, the form of Pos Indonesia business entity is a Limited Liability Company and is often referred to as PT. Indonesian post. This research was conducted to obtain a time benchmark when the delivery process occurs so that it can be used as a reference in shipping management control. The number of shipments of goods can be predicted by one method for prediction, namely the Backpropagation method. The Backpropagation method is a learning algorithm to reduce the error rate by adjusting the weight based on the difference in output and the desired target. This study uses unemployment data from the previous 3 years as training test data and training target data. After conducting the discussion, it produces an error value of 0.020043915 in iteration I. The results cannot be used because the error rate has not reached the target, which is 0.01.
Consumers Behavior: A Comparative Study of Pre Purchase and Post Purchased opinion of Hyundai Motors

This paper is an attempt to understand study and conduct detailed comparative analysis on the differences that may or may not arise between the pre purchase opinion and the post purchase opinion of certain attributes of Hyundai Cars. 170 Hyundai car owners were studied through questionnaire. The paper uses non-parametric test for the study since the pre-purchase opinion and post purchase opinion is taken from the same sample i.e the 170 respondents. The Wilcoxon Signed Ranks Test is used to conduct the non- parametric test on the dependent variables/attribute of cars. The attributes so taken into consideration for comparative analysis are brand popularity, durability, fuel efficiency, height of the car, load capacity, maintenance expenses, overall functioning, price, resale value, riding and travel comfort. The study aims at aiding the manufacturers and dealers to understand buyer perception and help them in developing marketing strategies through the findings of the research.
WAVEQ: GRADIENT-BASED DEEP QUANTIZATION OF NEURAL NETWORKS THROUGH SINUSOIDAL REGULARIZATION

Deep quantization of neural networks below eight bits can lead to superlinear benefits in storage and compute efficiency. However, homogeneously quantizing all the layers to the same level does not account for the distinction of the layers and their individual properties. Heterogenous assignment of bitwidths to individual layers is attractive but opens an exponentially large non-contiguous hyperparameter space (AvailableBitwidths#Layers). As such finding the bitwidth while also quantizing the network to those levels becomes a major challenge. This paper addresses this challenge through a sinusoidal regularization mechanism, dubbed WaveQ. Adding our parametrized sinusoidal regularizer enables us to not only find the quantized weights but also learn the bitwidth of the layers by making the period of the sinusoidal regularizer a trainable parameter. In addition, the sinusoidal regularizer itself is designed to align its minima on the quantization levels. With these two innovations, during training, stochastic gradient descent uses the form of the sinusoidal regularizer and its minima to push the weights to the quantization levels while it is also learning the period which will determine the bitwidth of each layer separately. As such WaveQ is a gradient-based mechanism that jointly learns the quantized weights as well as the heterogeneous bitwidths. We show how WaveQ balance compute efficiency and accuracy, and provide a heterogeneous bitwidth assignment for quantization of a large variety of deep networks (AlexNet, CIFAR-10, MobileNet, ResNet-18, ResNet-20, SVHN, and VGG-11) that virtually preserves the accuracy. WaveQ is versatile and can also be used with predetermined bitwidths by fixing the period of the sinusoidal regularizer. In this case. WaveQ enhances quantized training algorithms (DoReFa and WRPN) with about 4.8% accuracy improvements on average, and outperforms multiple state-of-the-art techniques. Finally, WaveQ applied to quantizing transformers
Contributing factors on students’ willingness to communicate (WTC)

One of the non-linguistics factors which is sometimes out of the teacher’s awareness during the teaching of speaking is how ready or how willing the language learners are to engage in the provided activities in which this psychological condition is then termed as Willingness to Communicate (WTC). To prepare the language learners in order to be more ready or willing is essential to take into account since a fact shows that the high WTC will increase the language learners’ frequency of using the language learned (English) in a communication. This is a descriptive qualitative research which investigated about the students’ WTC in a speaking class consisting of 29 students English Department in STKIP Muhammadiyah Kotabumi. Apart from this, this study also probed what variables influencing their WTC. An observation was done in order to collect the research data and make a conclusion. Due to the collecting data, it was found that students’ WTC is high. Further, some variables such as classroom variables (task type, topic, and interlocutor), individual variables (introversion, self-esteem, and anxiety), and communicative competence are found to contribute on students’ WTC during the speaking activity. Among others, the topic given is as the most influential variable affects students’ WTC. Whereas, it is found that interlocutor variable due to their gender and age does not affect students’ WTC. Hence, English teachers are suggested to give more attention at some variables affecting students’ WTC in order to help the students increase their WTC which leads to their speaking improvement.
The Place of Social Media and its Impact in Nigeria

The study investigates the place of social media and its impact in Nigeria. The major objective of this study is to determine how the use of social media impact on Nigeria with specific emphasis on the strength, weakness, threat and opportunities. The study used survey research design with one hundred and eighty six respondents randomly selected from the community area where the research was carried out. The paper adopted purposive random sampling techniques and selected (200) respondents. The respondents were given questionnaire to fill in order to determine their perceptions. The findings of this study seem to confirm the assumption that social media impact on Nigerians in more positive ways though, has some negative effect. The study therefore recommends that Nigeria should focus on the opportunities available in social media and do away with the negative aspects. Concerned global regulatory bodies should do more at ensuring that social media content is being censored. Parents should engage their children in discussions that disabuse their mindset from thought of engaging in wrong activities on social media.
Expertise Locator For Lecturers Based on Publication

Among the KM processes that function to guarantee access to knowledge is knowledge sharing. This process allows knowledge assets and experiences possessed by the organization to be accessed by anyone in the organization. Especially by using IT, this process can be done more optimally by capturing existing knowledge into a system so that this valuable information can be monitored anytime and anywhere. There are times when the knowledge possessed by experts is difficult to capture and represent in the system as in the case of tacit knowledgesuch as instincts, insights, and experiences of the experts. One of the challenges in inventorying these experts is the process of creating expert profiles automatically based on a particular approach. This research create an Expert Locator for lecturers who are considered as experts in their field of research using publication data produced by these lecturers as an indication of their expertise. The search feature is made as an implementation of the extraction results that can be used by other parties to find experts by entering keywords in the form of the desired expertise.