Reviewerly/exHarmony huggingface dataset:
Effect of gold nanoparticle on urine Bence Jones protein test: an observation -

Cheon K, Ozene N. Effect of gold nanoparticle on urine Bence Jones protein test: an observation. Adv Lab Med Int. 2019; 9: 4 - 6. ABSTRACTUrine Benjones protest is an important laboratory investigation for diagnosis of multiple myeloma. This test is a useful non-invasive test in clinical onocology. An important concern in laboratory medicine is the accuracy of the test. In this article, the authors report the study on the interference effect of gold nanoparticle on urine Bence Jone protein test. According to the study, there is an alteration of urine Bence Jones protein test due to interference by gold nanoparticle. In conclusion, gold nanoparticle can cause interference on laboratory investigation for urine Bence Jones protein test. Full text available at https://drive.google.com/file/d/1Z9gmBJYTVB3r0LL6wNaW_3rtjU0AOkNY/view
ShopVis: Visualisasi Interaktif Persebaran Toko Daring di Indonesia Menggunakan Crowdsourced Data

The current statistics on electronic-commerce distribution in Indonesia mostly only reveal the number and value of transactions, but not the distribution, both in terms of the quantity of online stores and the types of goods sold.This study aims to develop a visualization of the distribution of online stores in Indonesia.The data used in this study is crowdsourced data taken from one of online marketplaces in Indonesia.The data is analyzed and processed to produce statistics on the distribution of online stores by region and type of goods.These statistics are displayed in map visualization for ease of use.This visualization can be utilized by the government or stakeholders to monitor the development of online stores in each region and make strategic decisions.The visualization can be used further to obtain statistics and the distribution of the types of goods sold online, comparing them to ordinary trade and typical products from each region.Underdeveloped regions can then be motivated to develop their electronic commerce to their full potential.This research is also expected to be used as a reference for even distribution of electronic commerce in Indonesia.
CULTIVATING STUDENTS’ LITERACY ABOUT BUSINESS MORALITY BY USING SCA MODEL IN DIGITAL SERVICES

Running the business with a good morale is not the easy task. Some businesses manage their employees in an un-Islamic way that conduce disapproval and dissatisfaction against their leader. The same problem is also found among business students in campus especially for those who have the same merchandise that create the unhealthy competition where the students justify all sorts of ways. To solve this problem, the researcher made the teaching material about business morality by using digital services likes What Sapp, video call, video conference and blog including managing people, and leadership that delivered and measured through interview, observation and test which is developed by Social Cultural Affective (SCA) model for ESP students of Economic Faculty at IAIN Bukittinggi. The purpose of the material is to increase the students’ business competency to be a leader. As a result, these materials are effective to improve students’ business ability which are done based on business morality and Islamic manner as guided by the Prophet, Muhammad SAW. Ultimately, the students are easier to manage people and comprehend the way to be a young businessman supported by the digital services.
Computation oriented books

"Computation oriented books." Journal of Statistical Computation and Simulation, 89(9), pp. 1761–1762
Usage Pattern Exploration of Effective Contraception Tool

Determination of methods or contraception tool used by acceptors to support the Family Planning (“Keluarga Berencana”) is a problematic. In choosing methods or contraception tool, the acceptor must consider several factors, namely health factor, partner factor, and contraceptive method. Each method or contraception tool which is used has its advantages or disadvantages. Although it has been considering the advantages and disadvantages, it is still difficult to control fertility safely and effectively. Consequently acceptor change the method or a contraception tool that is used more than once. In order acceptors get the appropriate contraception tool then the patterns of changing in the usage of effective methods or contraception tool is determined. One of the methods that can be used to look for the patterns of changing in the usage of contraception tool is data mining. Data mining is an interesting pattern extraction of large amounts of data. A pattern is said to be interesting if the pattern is not trivial, implicit, previously unknown, and useful. The patterns presented should be easy to understand, can be applied to data that will be predicted with a certain degree, useful, and new. The early stage before applying data mining is using k nearest neighbors algorithm to determine the factors shortest distance selecting the contraception tool. The next step is applying data mining to usage changing data of method or contraception tool of family planning acceptors which is expected to dig up information related to acceptor behavior pattern in using the method or contraception tool. Furthermore, from the formed pattern, it can be used in decision making regarding the usage of effective contraception tool. The results obtained from this research is the k nearest neighbors by using the Euclidean distance can be used to determine the similarity of attributes owned by the acceptors of Family Planning to the training data is already available. Based on available training data, it can be determined the usage pattern of contraceptiion tool with the concept of data mining, where the acceptors of Family Planning are given a recommendation if the pattern is on the training data pattern. Conversely, if the pattern is none match, then the system does not provide recommendations of contraception tool which should be used.
Isolating Word Level Rules in Tamil Language for Efficient Development of Language Tools

With the advent of social media, the amount of text available for processing across different natural languages has become enormous.In the past few decades, there has been tremendous increase in the number of language processing applications.The tools for natural language computing of various languages are very different because each language has its own set of grammatical rules.This paper focuses on identifying the basic inflectional principles of Tamil language at word level.Three levels of word inflection concepts are considered -Patterns, Rules and Exceptions.How grammatical principles for word inflections in Tamil can be grouped in these three levels and applied for obtaining different word forms is the focus of this paper.These can be made use of in a wide variety of natural language applications like morphological analysis, morphological generation, word level translation, spelling and grammar check, information extraction etc.The tools using these rules will account for faster operation and better implementation of Tamil grammatical rules referred from [த ொல் த ொப் பியம் | tholgaappiyam] and [ நன் னூல் | nannool] in NLP applications.
Aproximación teórica al estudio de las tecnologías y su importancia en el proceso de evaluación universitaria

This study of new Information and Communication Technologies has contributed to changing the conceptualization of ways and methods of teaching. Changes have caused degree courses to be restructured. New innovative teaching strategies and new formal teaching environments are promoted, where no physical presence of students and their interaction with teachers are required, which is contrary to traditional teaching. Assessing students by using new technologies is a challenge to 21st century teachers because virtual teaching is not only a complement to Distance Education, students’ presence in the classroom requires that educational technology resources including new technologies be used. This study takes into account different writers’ views on these matters, and other pieces of research into them already conducted.
Rate Distortion Optimized Motion Estimation for Video Compression Using Improved Quad Tree Algorithm

In this paper the application of quadtree algorithm in the situation analysis of natural ecology is used to estimate rate distortion optimized motion of video compression. This algorithm is applied in the natural ecology protection system, it can locate the region which pollutes quickly in the map, provides the scientific basis for the government in carrying on the ecological environment and using the resources environment sustainable. State of the art technologies like multiple reference frame (MRF), Variable Size Block Matching (VSBM) and quarter pixel accuracy are used in video coding standards and strive to reduce temporal and spatial redundancies and preserve life forms and natural resources. It is evident from the literature review that around 70 %-90% of total computational power is used in motion estimation. Thus, reduction in redundancy and computational complexity of motion estimation has one of dominating taken research area in the area art and situation analysis of natural ecology. Of the many techniques available to reduce computational complexity along with redundancy in motion estimation on the basis of art principles, quadtree based algorithms for variable size block matching (VSBM) is one of the most sought after which is way to merge environmental studied and art technologies. In this investigation, an effort has been made to apply quadtree algorithm in situation analysis of natural ecology, which is based on edges homogeneity and is in conformity with environmental principles. This algorithm permits adaptive bit allocation between Displaced Frame Difference (DFD) and Motion Vector Field (DVF). The rate distortion optimization (RDO) allows for trade-off between distortion and rate, it is build based upon quadtree with active and inactive region using edges homogeneity present in the frame. Experimental results using ecological factors and improved quadtree algorithm and A* prune algorithm optimization that reveals total bits for different multi constraints shortest path. The improved motion estimation algorithm based on the philosophy of quadtree leads to substantial improvement in the situation analysis of natural environment and is also significantly helpful in applying algorithm technologies to ecosystem and living species.
Particle Swarm Optimization for Design of Beam

Particle Swarm Optimization is an optimization technique emulates from social behaviour i.e. birds flocking, fish schooling and bee's behaviour and it is also related to A-life i.e. artificial life (human life).It has wide range of applications in almost every field.In this paper we are applying this technique to Civil Engineering field for designing different types of beam loaded with UDL and supported with different support conditions i.e. simply support, cantilever and fixed support for obtaining optimal quantities of area of steel, moment of resistance and shear stress.With the help of PSO algorithm, MAT-LAB coding is formulated.Area of steel, Moment of resistance and Shear Stress obtain with the help of PSO model is compared with the results obtain by different computational methods i.e. 1) By using IS 456-2000 with manual calculations by rounding off values; 2) Using IS 456-2000 with manual calculations without rounding off values, And 3) Excel sheet calculation.(
Deep learning for animal recognition

Deep learning has obtained many successes in different computer vision tasks such as classification, detection, and segmentation of objects or faces. Many of these successes can be ascribed to training deep convolutional neural network architectures on a dataset containing many images. Limited research has explored deep learning methods for performing recognition or detection of animals using a limited number of images. This thesis examines the use of different deep learning techniques and conventional computer vision methods for performing animal recognition or detection with relatively small training datasets and has the following objectives: 1) Analyse the performance of deep learning systems compared to classical approaches when there exists a limited number of images of animals; 2) Develop an algorithm for effectively dealing with rotation variation naturally present in aerial images; 3) Construct a computer vision system that is more robust to illumination variation; 4) Analyse how important the use of different color spaces is in deep learning; 5) Compare different deep convolutional neural-network algorithms for detecting and recognizing individual instances (identities) in a group of animals, for example, badgers. For most of the experiments, effectively reduced neural network recognition systems are used, which are derived from existing architectures. These reduced systems are compared to standard architectures and classical computer vision methods. We also propose a color transformation algorithm, a novel rotation-matrix data-augmentation algorithm and a hybrid variant of such a method, that factors color constancy with the aim to enhance images and construct a system that is more robust to different kinds of visual appearances. The results show that our proposed algorithms aid deep learning systems to become more accurate in classifying animals for a large number of different animal datasets. Furthermore, the developed systems yield performances that significantly surpass classical computer vision techniques, even with limited amounts of available images for training.
Action Recognition Framework using Saliency Detection and Random Subspace Ensemble Classifier

Action recognition can be defined as a problem to determine what kind of action is happening in a video.It is a process of matching the observation with the previously labelled samples and assigning label to that observation.In this paper, a framework of the action recognition system based on saliency detection and random subspace ensemble classifier, is introduced in order to increase the performance of the action recognition.The proposed action recognition framework can be partitioned into three main processing phases.The first processing phase is detecting salient foreground objects by considering pattern and color distinctness of a set of pixels in each video frame.In the second processing phase, changing gradient orientation features are used as a useful feature representation.The third processing phase is recognizing actions using random subspace ensemble classifier with discriminant learner.Experimental results are evaluated on the UIUC action dataset.The proposed action recognition framework achieved satisfying action recognition accuracy.
Pemanfaatan Teknologi Energi Surya di Tumbang Datu

The purpose of community service activities through the PKM program is to help, motivate, train and assist Partners of the Karuaya Dance Group and the Carving Back Art Group in Lembang Tumbang Datu whose efforts have not been economically productive, but have a strong passion and enthusiasm to work to make their business especially successful dance and carving art of Tana Toraja. The life of partners with the community is very lagging behind various aspects of life compared to the people in the surrounding area. The majority of the partner groups dropped out of school, many did not graduate from high school, so they did not have the knowledge, abilities and skills to develop their businesses in utilizing and managing the tourism potential so large around them. To develop the business and standard of living of partners and surrounding communities, they are in dire need of mentoring, training and touching the technology of solar power plants as a source of electrical energy lighting, sound systems, charge mobile phones and other productive activities so that they can develop their talents and not think of funds for electricity payments because solar electricity is free. The specific target of the Community Partnership (PKM) program is to carry out development services utilizing dance and sculpture and art opportunities as a source of income for partners and surrounding communities; Maintenance training for solar power plants at partner locations; Produce solar cell products that can convert solar energy into electrical energy.
Altmetric for Books: Informing commissioning and data-driven decisions

This presentation was given as part of a webinar on using Altmetric data to inform editorial/acquisitions strategy for books
Retraction notice to “The experimental investigations of propriety and applies in the building special coating – Sulfur polymer composite as the industrial waste material” [Compos. Part B 58 (2014) 378–385]

This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of Editor-in-Chief. After a thorough investigation, the Editor-in-Chief and the Publisher have concluded that the acceptance of this article was based upon the positive advice of at least one faked reviewer report. The report was submitted from a fictitious email account which was provided to the journal as a reviewer suggested by the author during the submission of the paper. This manipulation of the peer-review process represents a clear violation of the fundamentals of peer review, our publishing policies, and publishing ethics standards. Apologies are offered to the reviewers whose identities were assumed and to the readers of the journal that this deception was not detected during the submission process.
Comparative study of feature extraction algorithms for complex-valued gradient fields of digital images using linear dimensionality reduction methods

The paper presents an analysis of various approaches to constructing descriptions for gradient fields of digital images. The analyzed approaches are based on the well-known methods for reducing the data dimensionality, such as Principal (PCA) and Independent (ICA) Component Analysis, Linear Discriminant Analysis (LDA). We apply these methods not to original image, represented as a two-dimensional field of brightness (a halftone image), but to its secondary representation in the form of a two-dimensional gradient field, that is a complex-valued image. In this case, the approaches of using both the entire gradient field and only its phase part are analyzed. Also, the two independent ways of forming the original object final description are considered: using gradient field expansion coefficients in a derived basis and using the original author's method called model-oriented descriptors. The latter ones enable halving the number of real coefficients used in the original object description. The studies are conducted via solving face recognition problem. The effectiveness of the analyzed methods is demonstrated by applying them to images from Extended Yale Face Database B. The comparison is made using a nearest neighbor's classifier.
English Vocabulary Training for Elementary Students at RT 05 RW 13 Duri Kosambi West Jakarta [Pelatihan Kosakata Bahasa Inggris bagi Siswa SD RT 05 RW 13 Duri Kosambi Jakarta Barat]

As an international language, English is widely used by students in elementary schools to communicate both verbally and in writing. Therefore, students need to be given English language training to improve their abilities, one of which is through vocabulary on children's songs. The training was held on Sunday, September 2, 2018, at RT 05 RW 13 Duri Kosambi West Jakarta. The forms of training given were singing songs and doing some exercises based on English song lyrics. Meanwhile, the topics of vocabulary were greeting through the song "How are you? I'm Fine " and feeling through the song" If you’re happy ". The purpose of this paper is to disseminate the experiences and ideas of community service that have been carried out by lecturers of English Language Study Program (D3), Faculty of Communication and Language, BSI University, Jakarta. The method used was a descriptive analysis based on references and observations from Community Service. The result was that English language training held as one part of the Tri Darma of Higher Education could improve English vocabulary for elementary students through children's songs, both cognitive, effective, and conative.
Application of Face Recognition in Nuclear Power Plant Security System

With the development of national economy, science and technology, as well as called for under the "generation", a major development of nuclear power, investment business shipments, overhaul unit number in recent years, increasingly, nuclear security, state-owned assets supervision and administration commission told the power plant to strengthen safety management, especially in succession of informationization means, therefore, the power plant production and maintenance of intelligent security demand more and more, especially face recognition of rigid demand, this article will combine plant actual situation, on the longitudinal combined with safety, industrial safety, nuclear safety three section, on the transverse combined with artificial intelligence, discuss the concrete application of face recognition technology in nuclear power.
Graph Theory: Part 1

We shall start this chapter with two examples. The first one was formulated in 1736 by Leonard Euler. Now it is known as the Königsberg bridge problem and is usually considered to be the beginning of Graph Theory.
THE OPTIMIZATION OF MSCT OF URINARY TRACT USING TRACKING WITH FILTERS VARIATION

Backgroud : Kidney disease is a clinical situation which is indicated by the decreasing of kidney functions and MSCT is one of the modalities to diagnose that function. Aim to identify the differences in image information with filter variation abdomen medium smooth and Mediastinum Standard. Methods : The method was the experimental research using research planning Post Test Only Group Design. The sampling was chosen consecutively. There were 3 Radiolog and 32 citra on the examination of MSCT abdomen without positive contrast media in Salatiga Public Hospital. Results : The intervention validity experiment after a tracking filter with variations, kruskal Wallis test results. There are meaningful differences shows vlue of p value 0,000 (p&lt;0,05), so that continued analysis of the Mann Whitney. The results of the analysis of the Mann Whitney pointed out that there is a difference between real or significant group of filter Medium Smooth Abdomen with Abdominal filter Medium Sharp/Mediastinum Standard Sig&lt;0.05 p value 0.000). Conclusion: a variation of the filter is able to identify the existence of a difference image information tracktus optimal unirarius MSCT abdomen after tracking by using the best filtr Medium Sharp Abdomen/Mediastinum Standard.
Research on Nuclear Power Project Communication

With the development and progress of electric power industry, the demand for communication is more and more, this paper introduces the specific functions of each subsystem in the field communication system of nuclear power station of Technology, and discusses the application of each subsystem in nuclear power from the angle of field use demand. Through the detailed introduction of this article, let people deeply understand the Nuclear Power Station Communication System.