Reviewerly/exHarmony huggingface dataset:
Analysis of on-site quality control assessment results of iodine content determination in edible salt in Zhengzhou City

ObjectiveTo analysis the on-site quality control assessment results of salt iodine content in Zhengzhou City, and to understand and master the actual professional abilities and level of grass-roots laboratory analyzers, and to search the problems and make improvement measures.MethodsThe total of 22 analyzers from 11 affiliated grass-roots laboratories of Zhengzhou City were gathered to take part in the on-site theoretical examination. The theoretical assessment was divided into five parts: measurement principle, application range, reagent preparation, key steps, and calculation formula of results. Parallel samples of standard materials were determinated in laboratory units, to evaluated operational skills, the problems during the process were recorded simultaneously. The content of the theoretical assessment and the rules for the assessment of on-site skills were based on the Measurement of Iodine for the General Test Method of the Salt Industry (GB/T 13025.7-2012).ResultsIn the theoretical assessment, the correct rates of reagent preparation and key steps were 100%, and that of measurement principle, application range, and calculation formula of results were more than 80%. The main problems of operation skills were from liquid loading, sample weighing and titration operation, etc. One laboratory result of quality control sample exceeded the reference range and was judged to be unqualified.ConclusionsThe theoretical basis of some laboratory analyzers are not solid, the operational skills are lack of standardization. In view of the current situation, as the higher level technical guidance unit, it is necessary and responsible for us to formulate practical measures in training, guidance and assessment to help them improve business level and abilities.Key words: Iodine; Salts; Quality control; Result evaluation
Sampling Set Selection for Bandlimited Signals over Perturbed Graph

This paper proposes a sampling strategy for bandlimited graph signals over perturbed graph, in which we assume the edge between any pair of the nodes may be deleted randomly. Considering the mismatch between the true graph and the presumed graph, we derive the mean square error (MSE) of the reconstructed bandlimited graph signals. To minimize the MSE, we propose a greedy-based algorithm to obtain the optimal sampling set. Furthermore, we use Neumann series to avoid the pseudo-inverse computing. An efficient algorithm with low-complexity is thus proposed. Finally, numerical results show the superiority of our proposed algorithms over the other existing algorithms.
The V-form organisation and the future of the firm

This chapter details how blockchains facilitate a new category of firm: the V-form organisation, where vertical integration is outsourced to a distributed ledger. The chapter first outlines the evolution of the firm from the unitary structure (U-form) to the multidivisional (M-form), and explains how V-form organisations are distinct. V-form organisations are structured around supply chains of information. The chapter looks at the experience of V-form organisations so far, and makes some predictions about the future of the firm, which the authors expect to be smaller, less hierarchical, and more networked.
Optical design using image distortion for orthorectification

Imaging the curved Earth from above typically results in a distorted image with reduced spatial resolution near the edge of the field. The effect is proportional to the field of view (FOV) and altitude. It is similar to the negative (barrel) distortion common in fish-eye lenses, but is due here to the convex object and not the optical system. Although image processing methods exist to partially correct for negative distortion, the reduced spatial resolution near the edge of the field is unrecoverable. Instead this can be corrected for optically by inducing the right amount of positive distortion into the optical design. The amount of positive distortion required to counter the negative distortion from the curved Earth is calculated as a function of FOV and altitude. An optical system with positive distortion is more challenging to design than with negative distortion as this increases the FOV in image space and requires a larger focal plane array. An off-axis, all-reflective design with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mi>f</mml:mi> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mo>/</mml:mo> </mml:mrow> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mn>2.5</mml:mn> </mml:mrow> </mml:math> , 2.5 in. effective focal length, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:msup> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mn>70</mml:mn> </mml:mrow> <mml:mo>∘<!-- ∘ --></mml:mo> </mml:msup> <mml:mo>×<!-- × --></mml:mo> <mml:msup> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mn>4</mml:mn> </mml:mrow> <mml:mo>∘<!-- ∘ --></mml:mo> </mml:msup> </mml:math> FOV, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mo>+</mml:mo> </mml:mrow> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mn>13</mml:mn> </mml:mrow> <mml:mi mathvariant="normal">%<!-- % --></mml:mi> </mml:math> distortion is shown that could be used as a push-broom satellite sensor in a polar orbit with constant spatial resolution.
RUMShake: A pilot amplification study in western Puerto Rico

Each year the PRSN detects ~4,000 earthquakes within and around Puerto Rico, the Virgin Islands and the Eastern Dominican Republic. Given the seismic hazard presented by this earthquake activity it is critical to perform systematic and continuous studies aimed at understanding and mitigating the impacts of earthquakes. The major effects to a site are due to seismic wave amplification at specific frequencies caused by local unconsolidated sediments during strong ground motions. Therefore, it is important to recognize and mitigate these. The Puerto Rico Seismic Network (PRSN) at the University of Puerto Rico, Mayagüez (Recinto Universitario de Mayagüez [RUM]) and the Puerto Rico Strong Motion Program (PRSMP), in collaboration with the United States Geological Survey (USGS) are conducting a passive-source seismic experiment to investigate the potential for seismic amplification by soils in Mayagüez, Puerto Rico. The goal of this experiment is to quantify the potential soil amplification in Mayagüez, which is located in the western portion of the island. This region experienced significant damage from shaking in the 1918, 7.3 Mw earthquake offshore of western Puerto Rico, making it a prime target for a pilot study to examine soil amplification. Local soil and bedrock conditions in Mayagüez are similar to other areas of the Caribbean, so results will have implications throughout the region. For this study, eleven L-22 sensors with Reftek RT130 recorders were installed in April 2019 to collect data for a period of six months. Since this time, there have been sixty-one M3 or greater earthquakes in the region per month and six M6.5 or greater teleseisms that should provide data suitable for analysis. Data are currently being analyzed using simple spectral ratios of soil sites to bedrock sites. We will present information about the deployment, experiment goals, and preliminary results. The results of this experiment will provide data to refine future hazard mapping and ground motion models of the island.
OBNAVLJANJE AUTORIZIRANIH PODATAKA

This book is dedicated to Mirna Willer on the occasion of her retirement as an expression of gratitude for her outstanding contribution to the development of information and communication sciences, the development of various professional practices, and dedicated teaching and pedagogical work.Mirna started her career as a librarian at the National and University Library in Zagreb in 1978, and gained her first experience cataloguing legal deposits (Jugoslavica) and foreign books at the Book Cataloguing Department. Building on that experience, she became a systems librarian and then a library consultant for computerization. In these statuses, in the period 1980-2007 she was in charge of the development of library information systems of the Library and standardization. After successfully completing the incorporation of Croatian cataloguing rules into UNIMARC formats for bibliographic and authority data, she participated in their implementation in the library information system of the Library. In co-operation with the University Computing Center of the University of Zagreb (Srce), she encouraged and coordinated the establishment of the Croatian Web Archive (HAW - Hrvatski arhiv weba). Since 2007 she worked as a professor of Bibliographic Information Organization at the Department of Information Sciences at the J. J. Strossmayer University of Osijek and at the Department of Information Sciences at the University of Zadar. From 2008 until her retirement in 2018 she worked in undergraduate, graduate and postgraduate study programmes at the Department of Information Sciences at the University of Zadar.
Applications of virtual reality and augmented reality technology in plastic surgery

As emerging digital technologies, virtual reality and augmented reality technology have been widely and deeply applied in the medical field, especially in plastic surgery. This paper reviewed the development of virtual reality and augmented reality technology, indispensable components in realization process of virtual reality and augmented reality technology in plastic surgery as well as applications in preoperative planning, intraoperative navigation, surgical training of plastic surgery. At last, there is a summary of the applications, deficiencies and the future direction of virtual reality and augmented reality technology in plastic surgery.Key words: Virtual reality; Augmented reality; Plastic surgery
An Efficient Differential Evolution Via Both Top Collective and p-Best Information

This study proposes a novel DE variant for global optimizations based on both top collective information and p-best information (called CIpBDE). A combined mutation strategy (CIpBM) takes advantage of the mutation strategies “target-to-ci_pbest/1” and “target-to-pbest/1” is introduced trying to escape from stuck of local optima. A modified crossover operation (CIpBX) is proposed to handle the stagnation of DE. CIpBX adopts a collective vector or top p-best individual based on probability to execute crossover operation when stagnation occurs. An improved parameter adaptation strategy is figured out to adaptability to adjust the parameters crossover probability and scale factor value in each generation. To evaluate the performance of CIpBDE, comprehensive experiments are conducted on the CEC2013 benchmark test suit with 28 functions. Experimental results show that CIpBDE outperforms the seven state-of-the-art DE variants. What’s more, we also apply CIpBDE to the feature selection problem. Compared results on several standard data sets indicate that CIpBDE outperforms the four comparing algorithms in terms of classification accuracy.
Reference Method for the Development of Domain Action Recognition Classifiers: The Case of Medical Consultations

Advances in human action recognition and interaction recognition enable the reliable execution of action classification tasks through machine learning algorithms. However, no systematic approach for developing such classifiers exists and since actions vary between domains, appropriate and usable datasets are uncommon. In this paper, we propose a reference method that assists non-experts in building classifiers for domain action recognition. To demonstrate feasibility, we instantiate it in a case study in the medical domain that concerns the recognition of basic actions of general practitioners. The developed classifier is effective, as it shows a prediction accuracy of 75.6% for the medical action classification task and of more than 90% for three related classification tasks. The study shows that the method can be applied to a specific activity context and that the resulting classifier has an acceptable prediction accuracy. In the future, fine-tuning of the method parameters will endorse the applicability to other domains.
Follow-up of adult patients with diabetes and hypertension in a Specialized Center: experience report of Pet-Health Interprofessionality

Objective: To report the experience of PET-Health Interprofessionality, in adult patients monitoring with Diabetes and Hypertension, in a Reference Center, in the Feira de Santana – BA city. Method : This is an experience report, developed at the Specialized Center for Diabetic and Hypertensive Care (CADH), from april to november 2019, by fellows, preceptors and tutors, members of an extension project developed by the State University of Feira de Santana and the Health Secretary of the city. The data from the situational diagnosis, collected through observation of the service and conversation with the team, supported the planning of educational activities, aimed at the prevention of diabetes, hypertension and cardiovascular diseases. Results: The service has 3000 registered patients, most of them adults, only 18 teenagers, 60% of whom are female. The educational actions carried out provided the socialization of knowledge and the exchange of experiences, between staff and users, contributing to improving the quality of life of these patients. Conclusion: With the experience of situational diagnosis, it was realized the importance of this center for patients and families, the need to work with interdisciplinarity with service professionals and the importance of regular educational activities, strengthening the prevention of cardiovascular and endocrine diseases and hypertension.
Assessment of Quality of Experience (QoE) of Web and Video Services over a Mobile Network Using a Network Emulator

This paper investigates the subjective assessment of QoE of web and video services over a mobile network.To achieve this, the authors used the network emulator (NetEm) traffic control functionality to simulate the dynamic behaviour of a mobile network.Experiments were conducted in a laboratory setting and test conditions were varied to ascertain the QoE, with a focus on QoE metrics such as delay and packet loss ratio.From the experiments conducted, it was observed that there was a negative correlation between delay and average mean opinion score (MOS), and between packet loss ratio and average MOS.The results obtained can be adopted by network operators to provide better services which would lead to improved subscriber base and profitability for the operators and better QoE for the end users.
Cognition and attitude on aortic dissection among gastroenterology department nurses

ObjectiveTo understand the cognition and attitude on aortic dissection related knowledge among gastroenterology department nurses and to analyze the influencing factors of cognition.MethodsFrom April 2018 to May 2018, we selected 227 gastroenterology department nurses from four ClassⅢ Grade A hospitals in Wuxi City as subjects by convenience sampling. All of the nurses were investigated with the self-designed aortic dissection related knowledge and attitude questionnaire. Univariate analysis and multiple linear regression were used to analyze the influencing factors of aortic dissection cognition of gastroenterology department nurses.ResultsThe scores of aortic dissection cognition and attitude of gastroenterology department nurses were (48.04±16.48) and (37.41±9.63) respectively with total score 60-80 of aortic dissection knowledge in 33.48% (76/227) of them and total score >80 in 2.64% (6/227) of them. Univariate analysis showed that there were statistical differences in the scores of aortic dissection knowledge of gastroenterology department nurses with different education levels, working life in gastroenterology department, positional titles, whether provided nursing for or encountered aortic dissection patients, whether learned about aortic dissection knowledge (t/F=13.42, 10.02, 12.09, -17.81, -7.64; P<0.05) . Multiple linear regression showed that the influencing factors of aortic dissection cognition of gastroenterology department nurses included working life in gastroenterology department, whether provided nursing for aortic dissection patients and whether learned about aortic dissection knowledge.ConclusionsGastroenterology department nurses have a low level of aortic dissection related knowledge. Medical schools and nursing managers should pay attention to imparting aortic dissection related knowledge, pre-service training and nursing round so as to provide more opportunities for nurses to go out to attend academic conferences, improve the aortic dissection cognition and nursing competency of gastroenterology department nurses, reduce the fatality rate the aortic dissection or improve the prognosis of patients.Key words: Nurses; Cognition; Attitude; Department of gastroenterology; Aortic dissection
Bitcoin’s Identity Crisis and the Prospect of Trustless Money

Abstract Whether it is legally treated as a digital property, a commodity or a security, bitcoin’s identity crisis is mainly caused by its contradictions as a trustless monetary project. The paper argues that bitcoin’s trustlessness is a confusing concept that accounts for its legal and monetary troubles. As explicated by monetary sociologists and economists, money is based on a complex trust architecture. By questioning the interplay between code, trust and law in the monetary realm, the paper aims to enlighten the philosophy of bitcoin’s monetary project, the current trends, and some potential developments for bitcoin and distributed ledger technologies.
Creating a simulation option for the reconstruction of ancient documents: Palimpsests

Ancient documents were often created by overwriting older documents that had been erased to re-use the expensive parchment. There is thus the situation that we have valuable documents that actually contain possibly more valuable documents &#x201C;underneath&#x201D;, hidden to the human eye. Being able to retrieve these originals is an important task, however, associated with several problems. One of these is that the value of the documents limits the distribution and thus the ability to experiment. Another is that the &#x201C;to be discovered&#x201D; underwriting might hold important information that should first be examined, classified and put into context by textual scholars, again severely limiting the ability to experiment. This is a strong decrement to scientists and students involved in developing and testing imaging algorithms.This paper describes an approach to create artificial palimpsests that are reasonable approximations based on previous example and thus can be used by everybody to test new assumptions, new algorithms and to study the interaction of the different deterioration mechanisms.
Image retrieval using chromatic histogram based on color extraction

A new indexing technique for image databases integrating color and similarity information for chromaticity based image retrieval is proposed. This methodology, called chromatic histogram, extracts few values of information about the location of pixels having the same color and their arrangement position within the image, can be more satisfactory than other standard techniques like text, feature, and shape when the user would like to retrieve from the image databases that actually resemble the query image selected in their color distribution properties. Experimental trials on a database of about 1000 images are implemented on the basis of human perceptual judgments.
Neuronless Knowledge Processing in Forests

Neurons are viewed as the basic cells that process and transmit information. Trees and neurons share a similar structure and neurotransmitter-like substances. No evidence for structures such as neurons, synapses, or a brain has been found inside plants. Consequently, the ability of a network of trees to process information in a method similar to that of a neural network and to make decisions regarding the usage of resources is unperceived. We show that the network between trees is used for knowledge processing to implement decisions that prioritize the forest over a single tree regarding forest use and optimization of resources, similar to the processes of a biological neural network. We found that when there is resection of a network of trees in a forest, namely a trail, each network part will try optimizing its overall access to light resources, represented by canopy tree coverage, independently. This was analyzed in 323 forests in different locations across the US where forest resection is performed by trails. Our results demonstrate that neuron-like relations can occur in a forest knowledge processing system. We anticipate that other systems exist in nature where the basic knowledge processing for resource usage is performed by components other than neurons.
Development of Android-based Learning Media in Improving the Quality of Senior High School Students' Learning

Learning methods become one of the factors that are very influential, especially for students' academic achievement. Nowadays students are required to be more active in expanding the knowledge they not only get from teaching and learning activities in school, but they can also add knowledge such as from a learning application that they can learn by themselves to hone their understanding of subjects. In the subject of Natural Science, often the methods or methods used by teachers in teaching are still many that are difficult to understand by students, the existing learning media less interest of students to study harder, and students sometimes consider easy subjects Natural Sciences. The aims of this research is make learning media in senior high school visually displayed in the form of applications that can be accessed with Android-based phones is expected to improve the quality of learning, especially in science subjects.
LibGuides: Free Resources Available During COVID-19 Emergency: Free Resources

Resources and services temporarily made free by vendors and publishers during the COVID-19 outbreak.
Analisa Tingkat Trauma Kecelakaan dengan Menerapkan Metode Fuzzy Mamdani

When a person experiences a traffic accident it always impacts the victims and their families up to the person who sees the accident. As for the impact in the form of physical and psychological impacts, physical impacts such as emotional as a stress reaction, depression and psychological factors such as anxiety, brain scans and anxiety responses that cause situations out of control. Therefore, in the future, the work of doctors will be greatly helped by an expert system that is filled with a number of knowledge (all types of drugs and their effects) that the experts themselves do not necessarily remember. Expert systems can add knowledge to medical personnel as a reference material to determine the possibility of diagnosing someone's psychology during trauma after an accident and its solutions. This study applies an expert system for the diagnosis of one of the fuzzy inference methods is Mamdani. Mamdani uses the min-max operator in the process of implication and composition of rules, so it is often referred to as the min-max method. Based on the description above, it can be seen that the fuzzy method is one method that has been widely used in software development for the diagnosis of a disease. The expert system modeling is to determine the level of accident trauma based on symptoms felt by patients. The results of the depression level of workers are obtained from the Fuzzy Mamdani algorithm by identifying the symptoms they experience. And Fuzzy Mamdani went well in analyzing the symptoms arising from the trauma.
Interacting with Python and Basic Functions

This chapter explains how to install Python and basic methods for interacting with the language: the interactive environment, Idle, programs executed on the command line, and Jupyter notebooks. The focus is on simple things one can do with Python in the interactive environment. The chapter concludes with several small programs that can be run at the command line.