Reviewerly/exHarmony huggingface dataset:
Dictionaries and algorithms for sparsity constrained image reconstruction

There has been a growing interest in the different types of dictionaries that can be used in image processing applications. We propose a hybrid dictionary composed of transform based atoms and additional nonlinear atoms generated using the polynomial, rectangular and exponential functions. The additional nonlinear atoms improve signal reconstruction quality for both transient and smooth signals. To further improve signal reconstruction quality, we optimize the hybrid dictionary using training samples from the signal. We also propose a signal coding algorithm that generates additional atoms by performing a circular shift on the provided dictionary prior to coding the signal. We have evaluated the proposed methods against existing predefined dictionaries by visually examining the reconstructed images as well as evaluating the peak signal to noise ratio of the reconstructed signal. All methods proposed in this thesis improved signal reconstruction quality however; we require an in-depth cost analysis study to evaluate its limitations.
Inventory, Conservation Statement and Classification of Bird Trade in Cianjur based on Data Mining Methods

Currently in the community many who keep birds. To get the birds people are looking for in the bird market. Total species of birds traded (Kabupaten Cianjur) as many as 46 types of 23 tribes. From the search results were found by IUCN endangered bird species but by law in Indonesia excluding protected ones such as the species of ekelgeling (Cissathalassina) whose conservation status is highly endangered. The excavation of the rule based on available data using the c45 algorithm shows that the dominance status of bird species in the Cipanas area has a significant influence on the status of the dominance of bird species for the entire Cianjur region.
Efficient agent-based negotiation by predicting opponent preferences using AHP

Negotiation is a process essential for a wide range of applications. The complex decision making involved in negotiation makes its automation difficult. The complexity is further increased as negotiators hide their individual preferences from each other to avoid exploitation by the opponent. Even though sharing of private preference information leads to better agreement for both sides, it is never done in the absence of trust. In this work, we learn opponent’s preference information from the offers given by the opponent using Analytic Hierarchy Process (AHP). We apply our approach to the negotiation of Quality-of-Service (QoS) parameters for the establishment of Service Level Agreements (SLA) between a provider and a consumer. Experiments show that using AHP, the negotiations are faster and the agreements are on or nearer to the pareto-optimal line.
"Alone We Can Do So Little; Together We Can Do So Much"

The librarians associated with the University of Divinity in Australia (founded 1910) have a long history of cooperation. These librarians have been formally meeting for over twenty years to discuss and resolve common issues and to advance projects of mutual benefit. Through their shared vision it has been possible to achieve significantly more than would ever have been possible if they had not worked collaboratively. This paper will highlight a number of recent library projects that have required the collaboration of the eleven constituent university colleges and those colleges’ fifteen associated libraries. Projects include the development of the Library Hub, enabling all staff and students to access a significantly increased number of online resources. Cooperation among librarians has also been instrumental in enabling the introduction of a single University ID card across all libraries, as well as instituting a collaborative purchasing model for the ordering of single title eBooks across the university membership. The fifteen libraries are also currently implementing a new combined library catalog (UDCat) which will give greater world-wide exposure to the collections of all participating libraries. Future projects under discussion include the creation of University-Library agreements that will outline the rights and responsibilities of both parties and the development of a formal retention policy so that no individual library discards any unique title from their collection. This presentation identifies some of the factors that have facilitated the success of recent collaborative projects as well as potential barriers to project success.
ICP/AAS ANALYSIS OF HAIR SAMPLES OF MINERS IN INDISCRIMINATE MINING AREA OF GOLD IN ABU HAMMED CITY, SUDAN

In present study, human head hair samples were collected from River Nile State, Abu-hamad locality.The sampling area was divided in two locations with 30 samples were taken from Washer's (location one) and Evaporator's (location two).Inductively Coupled Plasma (ICP) was used to identify these elements (Ni, Cu, Pb and As) and Atomic Absorption Spectroscopy (AAS) used to determine the elements (Cu, Cd and Pb) in human hair samples.The mean elemental concentration of Ni, Cu, As and Pb in location one by ICP were 0.13, 0.10, 0.21 and 0.23 ppm while the mean elemental concentrations in location two were 0.14, 0.09, 0.23 and 0.30 ppm respectively.The mean elemental concentration of Cu, Cd and Pb in location 1 by AAS were 0.038, < LOD, < LOD ppm and 0.012 ppm while the mean elemental concentrations in location 2 were 0.027, 0.024, 0.069 ppm and 0.048 ppm respectively.The obtained results show that the lowest concentration values of elements were found in Location (Loc 1 ) compared to elemental concentration found in Location (Loc 2 ).The correlation for the various elements was determined.Also clusters analysis was performed.The enrichment factor (EF) of elements was calculated using Fe as a reference element.Comparisons between this study and data from literature were done.
Exploring the Philosophical Problems of Artificial Intelligence Based on ERP Experiment

To study the cognitive process of the human brain in dealing with philosophical issues, for the first time, from the perspective of scientific experiments, the issue of “relationship” in philosophy was verified. A set of algorithms combining physiology analysis and computer technology linearity and a nonlinear manifold learning algorithm were proposed. Two groups of auditory cognitive experiments were performed, and the concept expected effect was defined as the symbol of conceptual intervention. From the perspective of time, whether the concept was involved after the sensation arises was explored. EEG (electroencephalogram) physiology was used to analyze the data. The results showed that the concept induced a positive shift of the waveform after intervention. It has little effect on the early components, but it has a significant effect on the composition of the sensory components. Waveform changes before and after conceptual intervention have significant main effects. Perceptual production does not involve conceptual intervention, which verifies, in time, that “the relationship” exists.
A Methodology for the Deployment of Model Checking

Many scholars would agree that, had it not been for agents, the practical unification of random-ized algorithms and web browsers might never have occurred. In this work, we verify the de-ployment of access points, which embodies the confirmed principles of hardware and architecture. We explore an analysis of the location-identity split, which we call LunyJeat
Constructing SMPs and Von Neumann Machines

Various mathematicians would agree that, had it not been for plan, the reenactment of enduring hashing that would make enabling multicast frameworks an authentic believability may never have occurred. In our assessment, we demonstrate the progression of multicast structures, which epitomizes the imperative principles of free steganography. In this paper, we discover how sensor frameworks can be applied to the examination of administrators [8].
Information Retrieval on Web: Ontology Based Vs Traditional Search Engines

Information Retrieval has become the buzzword in the today’s era of advanced computing. The tremendous amount of information is available over the Internet in the form of documents which can either be structured or unstructured. It is really difficult to retrieve relevant information from such large pool. The traditional search engines based on keyword search are unable to give the desired relevant results as they search the web on the basis of the keywords present in the query fired. On contrary the ontology based semantic search engines provide relevant and quick results to the user as the information stored in the semantic web is more meaningful. The paper gives the comparative study of the ontology based search engines with those which are keyword based. Few of both types have been taken and same queries are run on each one of them to analyze the results to compare the precision of the results provided by them by classifying the results as relevant or non-relevant.
Trajectory Control of Designed Experimental Mobile Robot

Due to advancing technology; nowadays mobile robot applications in hospitals have been increased. For that reason, it is very important and necessary to analyze the trajectory of such helping robotic system. However; there are many types of mobile robots have been utilized in hospital applications such as helping nurses. In this simulation study; a designed and controlled mobile robot was controlled by using standard feedback controllers. On the other hand, the robot was also tested with disturbances of ground surface roughness. The simulation results were improved that standard PID controller has superior performance to overcome surface roughness of the robot trajectory.
Nexus DNN for Speech and Speaker Recognition

Over the years, many efforts have been made on improving recognition accuracies on Automatic speech recognition (ASR) and speaker recognition (SRE), and many different technologies have been developed. Given the close relationship between these two tasks, researchers have proposed different ways to introduce techniques developed for these tasks to each other. In this paper an open source experimental framework is proposed for speech and speaker recognition. Then a unified model, Nexus-DNN is developed that is trained jointly for speech and speaker recognition. Experimental results show that the combined model can effectively perform ASR and SRE tasks.
An Separation of Different Facial Expression Recognition System

Face recognition is one of the hot topics in the current world and one of the popular topics of computer studies. Today face recognition in the network society and access to digital data is gaining more attention. The facial recognition system technology is a biometric assessment of a human's face. There are many facial recognition techniques that are intended depending on facial expressions extraction, one of which is 3D facial recognition, as well as their fusion,is difficult. During preprocessing measures for picture recognition to remove only expression-specific characteristics from the face and prevent their issues with a convolution neural network. We can also use some theorems such as LBP and Taylor's theorem to model face recognition. In particular, for cloud robots, we can also use this facial recognition on robots. The robot can perform functions and share data between servers and devices. Seven fundamental expressions are used to identify and classify: happiness, shock, fear, disgust, sadness, rage, and a neutral condition. Until now, the recognition rate is quite up to the expectation stage, but it still tries to enhance. To enhance the recognition frequency of facial image recognition, feelings are chosen by the vibrant Bayesian network technique to depict the development of facial awareness in addition to various emotional operations of facial expressions. The ICCA techniques involve various multivariate sets of distinct facial features that could be eyes, nose, and mouth.
What's New Online

Nutritional deficiencies are a well-recognized long-term complication following bariatric surgery.The presence of preoperative deficiencies has been shown to be predictive of postoperative deficiencies.The aim of the study was to investigate the prevalence of micronutrient deficiency in a large sample of patients with severe obesity preoperatively, and to determine whether such deficiencies may be related to patient's sex, body mass index, or ethnic subgroup. FEATURED TOPIC COLLECTION Cancer and DietThe Journal website features a series of specially-curated Topic Collections, where articles on common themes will be grouped together for easy browsing.This month's featured collection assembles the Journal's articles on the subject of Cancer and Diet.
Evaluasi Rekam Medis Elektronik Bagian Coding Rawat Inap RSUD K.R.M.T Wongsonegoro Kota Semarang

RSUD K.R.M. T Wongsonegoro The city of Semarang became one of the type B hospitals in the city of Semarang, which have applied the electronic medical record gradually the application of electronic medical records assessed as an effort to improve the quality of services increasing patient satisfaction improves the documentation accuracy reduces clinical error and speeds up patient data access. (Billy Maria in Andriani DKK 2017). One of the service units that require the speed, accuracy and accuracy of access to patient data is the coding part of the hospitalization of the person who handled the medical record and coding (PJRM). In its implementation, there were constraints that made the officers less satisfied with RME. The purpose of this research is to evaluate RME implementation using the PIECES method (performance, information, economic, control, efficiency, service). This type of research is qualitative research, by conducting observation methods and interviews to PJRM officers. The results of RME evaluation conducted using the PIECES method on the performance/performance aspect, RME has already produced a good performance. Based on information/information aspect, RME can provide accurate information quality, according to user needs, and easy to understand. Based on Economy/economy, RME has the value to be integrated with one hospital and have qualified resource. Based on Control/control aspect, RME has good integrity and security because it comes with username and password, has different permissions. Based on the Efficiency/data efficiency aspects of RME can be easily learned, operated, and processed. Based on the Service/service aspect: RME users feel that RME provides convenience for RME users. In conclusion, RME in the coding part of inpatient is good enough in terms of Performance, Information, Economy, Control, Efficiency and Control. The advice that can be given is to make improvements and development on RME to avoid errors, regulatory or regulation regarding steps when errors occur, as well as conducting socialization or training to RME users.
Website Optimization of Digital Literacy Based Media Services

Abstract: The development of science and technology today cannot be separated from the progress of internet services that are getting better and more comprehensive. This must be used optimally to encourage the creation of a superior and productive generation such as supporting the national literacy movement in the campus environment through community service activities. Service activities in the form of optimizing website-based student literacy media are expected to be a solution to support the literacy movement in the IAIN Ambon campus, especially in the Madrasah Ibtidaiyah Teacher Education study program. In addition, the existence of website-based literacy media can be a place to actualize students' ideas or ideas in a quality work. Keywords: Media,Literacy,Website
A proposed encryption technique of different texts using circular link lists

A different texts encryption technique is presented in this paper. The sensitive information is encrypted in different manner via using circular link lists as data structure that contains different encryption algorithms such as: LU and LEE, Rabin, Okamoto-Uchiyama, McEliece and Paillier algorithms. Using circular link lists as data structure aims for making the information ciphering most secure. The main idea of using circular link lists is making each character of sensitive information will encrypt by different cipher method in each iteration of encryption process. The above encryption algorithms are scheduled in circular link lists and selected via execution process respectively. The sensitive information that used in this work are consist of English and Arabic texts. So, the special characters and symbols are considered. The merge text from different languages such as English and Arabic with its special characters and symbols is encrypted effectively. When a different text encryption technique is implemented, the experimental results illustrate the high level of security, the ability to cipher merge texts and efficiency. The security, integrity and complexity are satisfied in this work.
Application of Soft Computing (ANN) Techniques to study the relationship between Solar Activity Features and Total Column Ozone

Using 30 years data (1986-2015) we have made an attempt to study the dependency of total column ozone (TCO) on solar activity features: solar flares (SF), solar active prominence (SAP) and sunspot numbers (SN) for two hill stations of Uttarakhand viz. Nainital (29.40 N.79.470E) and Mussorie (30.270 N 78.060 E) by Artificial neural network (ANN) technique. Our study supports the fact that solar activity features contribute to the production of ozone
Terapi Kompres Hangat dengan Aroma Jasmine Essential Oil terhadap Penurunan Intensitas Nyeri pada Pasien Post Sectio Caesarea

The purpose of this study was to determine the effect of warm compress therapy with the aroma of jasmine essential oil on the decrease in pain intensity in post SC patients in the hospital. Bhayangkara Kindergarten III Bengkulu City. This type of research is quantitative research, with pre-experimental research methods, using the design of one group pre-test - post test design. Univariate analysis results obtained pain intensity of post SC patients before warm compresses performed with the aroma of jasmine essential oil are 15 people (100%) of respondents experienced moderate pain with a range of 4-6 scale. While the intensity of post SC patients' pain after warm compresses with jasmine essential oil were 12 people (80.0%) of respondents experienced mild pain with a scale range of 1-3, and 3 people (20.0%) of respondents with moderate pain intensity with a range scale 4-6. In conclusion, there is an effect of warm compress therapy with jasmine essential oil on the decrease in pain intensity in post SC patients in the hospital. Bhayangkara Bengkulu City.&#x0D; &#x0D; Keywords: Pain Intensity, Jasmine Essential Oil, Sectio Caesaria
Cyclic Codes

In this paper, we consider cyclic codes and their extensions: quasi-cyclic codes and double cyclic codes.We show how their generator matrices can be obtained.The obtained results are illustrated by examples.
Vulnerability Assessment of Web Applications using Penetration Testing

In recent years, utilization of web applications, web hacking exercises have grown exponentially. Organizations are confronting extremely critical difficulties in anchoring their web applications from rising cyber threats, as bargain with the assurance issues don't appear to be the right approach. Vulnerability Assessment and Penetration Testing (VAPT) methods help us find these vulnerabilities / security loopholes in our systems even before an intruder could find a way to get it. This helps avoid zero-day exploits. This paper aims to elucidate the overview of Vulnerability Assessment and Penetration Testing and introduce the most efficient open source tools used to perform these tests. This paper also presents a combined VAPT testing methodology that incorporates strengths of several existing approaches, with the goal to understand their utility and benefit the most from the tests.
Conditions for effectiveness of prompts in solving challenging problems of artistic and scientific content

The study analyzes the problem of the influence of prompts on the achievement of creative problem solution and conditions under which it is effective. The relevance of the topic is determined by the context of the determinants and factors that define success of solving creative problems. From the standpoint of the problem situations theory, we revealed conditions for positive influence of direct and indirect prompts in solving problems of different content. Various characteristics of the subject of thinking are considered as conditions: from the perspective of the intellectual sphere, it is general intelligence and depth of analysis, while from the perspective of motivational sphere, it is manifestation of situational cognitive need, from the perspective of personality sphere, these are characteristics associated with the task content. The purpose is to study conditions for effectiveness of prompts in solving problem situations of different content. We propose the hypotheses stating that conditions for effectiveness of prompts are: manifestation of interest in solving challenging problems of any content; intellectual characteristics when solving scientific problems; personal characteristics when solving artistic problems. The sample consisted of 39 people: 27 students of the 1st and 2nd year of the Faculty of Psychology from Moscow State University and 12 specialists in the problem field. It also involved representatives of other professional fields, who carried out expert assessment of the effectiveness of prompts. The participants of the study solved 8 challenging problems of scientific and artistic content with prompts, 216 solution protocols were analysed. We used the following techniques: “Progressive matrices of Raven” and “Complex analogies” for diagnostics of intellectual features; the technique of self-actualization of personality for personality sphere diagnostics; subjective scaling for diagnostics of the assessment of interest manifestation. It is shown that subjective conditions for the effectiveness of the prompt are different depending on the content of the problem and on its difficulty for the subject. For most problematic situations of scientific content, a direct prompt turns out to be significant, and the condition for its effectiveness is the manifestation of the subject’s interest in the solution. For difficult problematic situations of artistic content, the depth of analysis, general intelligence and personal characteristics of the subject, which are associated with understanding the content of the problem, are the conditions for the effectiveness of indirect prompts.
IAG Membership Information

Geostandards and Geoanalytical ResearchVolume 43, Issue 4 p. 719-719 IAG Membership InformationFree Access IAG Membership Information First published: 19 November 2019 https://doi.org/10.1111/ggr.12228AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume43, Issue4Special Issue Section: Geoanalysis 2018December 2019Pages 719-719 RelatedInformation