Reviewerly/exHarmony huggingface dataset:
SYSTEMATIZATION OF NURSING ASSISTANCE TO PATIENTS WITH DIABETES MELLITUS TYPE 2: EXPERIENCE REPORT

Introduction Type 2 Diabetes Mellitus (DM2) is the form found in 90 to 95% of diabetes cases characterized by defects in the action and secretion of insulin and in the regulation of hepatic glucose production. Insulin resistance and functional defect of beta cells appear early in the preclinical phase of the disease. Obesity is the main risk factor for triggering this pathology, considering that, in these cases, insulin resistance is usually the consequence. From this perspective, Systematization of Nursing Assistance (SNA) is essential for the care of patients with a diagnosis of DM2, as it ensures the promotion of systematic and continuous assistance, thus constituting a basis for selection for care interventions. Objective To analyze the importance of Systematization of Nursing Assistance in health promotion for patients with Diabetes Mellitus Type 2. Methodology Descriptive study of the experience report type, conducted from the academic experience in supervised curricular internship, from the Adult and Elderly Health discipline in Primary Care, with home visits together with the Family Health Strategy Team in municipality of Recife – PE, in June 2019. Results With the practice of care planning from SNA, in DM2, it was possible to reach the following Nursing Process implementations: NANDA: Impaired skin integrity related to injury in the left lower limb evidenced by pain and loss of skin continuity after debridement. Nursing Outcomes Classification (NOC): Will have wound healing in a timely manner without complications. Nursing Interventions Classification (NIC): Check for general weakness associated with chronic disease. NANDA – Risk of falls related to visual impairment and difficulty walking. NOC – Verbalizes that understands the personal risk factors that contribute to the risk of falling. NIC – Assess the general health status of the individual, paying attention to factors that may compromise safety, including chronic disorders. Conclusions/Considerations: In this context, the importance of Nursing Systematization is noteworthy, since it can be applied in various areas of nursing practice, concretizing nursing care through scientific bases, granting greater credibility and autonomy to the professional. It also provides the patient with holistic care through various pathological contexts.
Integration of multisource data to support the identification of lateritic regolith in Eastern - Bahia, northeastern Brazil

This work used multi-source data integration techniques (gamma-spectrometry, magnetometry, SRTM-Altimetry) to identify areas favorable for the occurrence of well-developed lateritic regolith in the eastern region of the state of Bahia. The variables observed to define target potential were the high eTh/K and eU/K ratios and altitudes (obtained from SRTM). Based on these parameters, Boolean and fuzzy logic were applied to produce favorability maps. The best results were obtained under the fuzzy model (γ= 0.7) with a hit accuracy in the areas for potential laterite occurrence of 97.4% and a kappa value of 0.5, consisting of 118 control points obtained through fieldwork. The cross-referencing of the fuzzy image (γ = 0.7) with the magnetometry, total gradient (ASA-Analytical Signal Amplitude) suggested the predominance of more felsic protoliths in the most favorable areas. The lateritic index [IL = (eTh*eU)/K2)] was also applied, demonstrating good correlation with the areas determined by the Boolean and Fuzzy models. Mineralogical associations (clay minerals and/or iron oxides) of the target areas were estimated by the Crosta Technique in OLI/Landsat-8 images. The processing results were integrated in GIS environment, together with control points and data found in the bibliography (e.g. geological map, vertical electrical profile, drill-holes, occurrence of Fe and Al, lateritic crusts, geochemical anomalies).The observed correlation between the generated models and the direct data validates the effectiveness of the techniques used.
The Role of Movement in Data Visualization: Animation as an Agent of Meaning

If we look at data visualizations as signifying machines, in which every element is meaningful, what is the contribution of animation to the construction of meaning?What does motion or animation add in terms of significance to different kinds of graphics?Does it add something in terms of realism?How can animation be an implementer of meaning, dramatizing the sense of data or expressing doubt about the data itself?
Effect of Knowledge Management (Knowledge Development, Knowledge Sharing, and Learning Access) on Organizational Innovation: An Empirical Study in the UAE

It has been observed that innovation in governance leads to many positive results. Firstly, it helps in better utilization of resources and capacities and promotes a more open culture in the government which leads to good governance. Secondly, it creates a better image of the government which builds trust amongst its citizens. Another major advantage of innovation is that it has a domino effect wherein a successful innovation in one sector opens the doors for innovation in other sectors. One successful innovation leads to a series of innovations which is leads to a favourable environment. The main objective of this study is to examine the impact of knowledge management in term of knowledge development, knowledge sharing, and access learning on the organizational innovation within the public sector in the United Arab Emirates. This study has adopted questionnaires to collect data. PLS (Partial Least Squares) SEM-VB (Structural Equation Modelling-Variance Based) was employed to assess the research model by utilizing the software SmartPLS 3.0. Results reveals that knowledge management have a significant impact on the organizational innovation. Variance explained by this study was 32%. The results of the current study have the potential to give further insights into innovation of organizations strategies.
REAL-TIME COLLISION AVOIDANCE SYSTEM USING QUADCOPTER

Real-time collision avoidance of a quadcopter using Arduino programming and SONAR sensors is proposed in this paper. The basic idea is to change roll and pitch values with the help of Arduino and SONAR sensor. The flight controller runs on six channel PWM signals coming from receiver, four of which (throttle, yaw, arming, angle mode) are directly connected to the flight controller and the other two (pitch and roll) are connected to the Arduino board and then from Arduino to flight controller.  The Arduino microcontroller board is used to program a code for obstacle avoidance with the help of SONAR sensors which manipulates roll and pitch signals coming from receiver and it is then fed to the flight controller for avoiding collision with any obstacle in the path of the quadcopter. These sensors will be installed on quadcopter which will help to detect an obstacle within a specified range (30 cm). Hence, Arduino acts as an interface between the SONAR sensors and flight controller by measuring the distance from the object lying in the path of the quadcopter which induces a change in the path according to the input code.
Advanced Regular Expressions

So, you think you know a lot about Perl Regular Expressions? If you finished Chapter 1 , then you certainly do. But, there are more REs that provide you with powerful techniques to parse data.
Applying Convolutional Neural Networks to Adjust Code Complexity Metrics

In the software development process, testing activities are responsible for identifying the presence of defects and allowing them to be repaired before delivery to the end user. Previous research on cost reduction strategies attributed to software testing, focused on test case prioritization techniques based on code size and complexity metrics in order to reduce the cost of software and still guarantee the ability to detect defects. However, these studies did not considered aspects related to the developer.
Proposed Red Plan to Secure Project in PRINCE2 Methodology at Premature Closing Decision Situation

In this paper, the optimal decision model is developed to secure project.The model is described using Red Plan (RP) in PRINCE2 ("Projects IN Controlled Environments") approach.RP provides the significantly vivid estimation of loss comparison and helps to choose best way in Premature Closing Decision Situation (PCDS) time.However, the strategy of optimal decision to secure project has been proven by using RP which reduce the loss probability even in high threat open risk availability.The suggested model helps decision makers to assess optimal way before premature closing of the project.
Exploring Useful Built-in Variables

A good deal of the power and flexibility behind Perl lies in its "built-in" variables. Perl's built-in variables provide many functions:
Pengembangan Aplikasi Edukatif Berbasis Android Sebagai Media Pembelajaran Akuntansi Di Kelas X Akuntansi Smk Negeri 1 Banyudono Pada Materi Etika Profesi Tahun Ajaran 2018/2019

This study aims to develop an-based accounting learning medium Android in the form of educational applications and also to find out the opinions of students, medium experts, material experts and practitioners of accounting learning in the use of android-based educational applications as a medium of accounting learning.Development of learning medium in the form of educational applications using research and development methods. The procedure of this study adapted the ADDIE development model. The instrument for the feasibility of accounting learning medium for experts uses a scale Likert while for students using the scale Ghuttman. Based on the results of the assessment of material experts, all aspects get a total score of 95.00 so that the category of rating is very good and if it is held in a medium score is 87.96. The assessment of medium experts in all aspects received a total value of 81.00, so that it was included in the category of very good assessment and if it was held by the medium getting a value of 88.04%. The assessment of the learning practitioner (teacher) from all aspects received a total score of 111.00 so that entering the category of assessment was very good and if it was held in medium the score was 89.51% and from 30 students showed a positive response because all showed a percentage of ≥ 70%. this shows that the medium from the overall aspect based on (%) is in the category very feasible to be used as a learning medium for accounting.
The synergetic approach as the basis for the formation of the value of a foreign language among students of a technical university

The article considers the synergetic approach as the basis for the formation of the value of a foreign language among students of a technical university.Taking into account the important role of the synergetic approach for the formation of a value-related attitude towards a foreign language among students of a technical university, the teachers of the Department of Foreign Languages of the Samara Technical University developed the textbook "Chemistry in nanosphere," which is based on the synergetic approach.The article discusses the structure of the textbook and guidelines for working with the textbook for teachers.
PECULIARITIES OF THE EMOTIONAL STATES OF SERVICEMEN OF THE NEW DRAFT DURING THE ADAPTATION PERIOD

The article focuses on the problem of adaptation of servicemen of the new draft and the features of their emotional states. The conscription and military service "is a powerful psycho-emotional factor" that affects the mentality and makes the individual adapt to new conditions of life. Military service is an important but difficult (often extreme) stage of personal development. The overwhelming majority of servicemen immediately begin to feel subjective discomfort, emotional suppression or stress; they show signs of increased anxiety and some poor mental agility. The article determines that with the presence of various character accentuations, emotional-volitional or neuropsychic instability, undeveloped ability to self-regulation of psychophysiological states, the influence of stressful factors can lead to disruption of regulatory mechanisms, maladaptive behavior of a military man. Neuropsychic instability of serviceman is thought to be as the inability of an individual to maintain mental capacity, an adequate level of neuro-emotional stress, which corresponds to the activity performed, the stability of mental functions under the influence of stressful factors. Most neuropsychic disorders in young servicemen are adaptable, that is, due to the difficulties of their adaptation to the new conditions of life and activity peculiar to military service. Adaptation is the process of assimilation by young soldiers of their social roles, service and social functions, and their inclusion in the system of personal contacts and relations. Thus, in the structural diagram of the adaptation process, three main areas can be distinguished: 1) mastering of official job functions; 2) inclusion in the public life of the collectivity; 3) the establishment of interpersonal, friendships and relationships.
Hacia una mirada antropológica del aprendizaje invertido

Defining the human being who education intends to form is a task&nbsp;of pedagogical anthropology, a labour that must be taking into&nbsp;account in order to be clear about the anthropological support&nbsp;of the educational practices carried out in the classroom which&nbsp;are often executed following instructions or experiences withoutthe necessary reflection of what is expected of the students and,&nbsp;therefore, of society. In this sense, it is important to analyse,&nbsp;from an anthropological point of view, one of the most popular&nbsp;pedagogical approaches for its favourable results: flipped&nbsp;learning. This approach aims to form a human being to buildknowledge based on autonomy and social interaction, promoting&nbsp;higher levels of knowledge that allow him to solve problems in his&nbsp;environment.&nbsp
100th anniversary of the acting faculty of VGIK

100th anniversary of the acting faculty of VGIK
Evaluating Some Heuristics to Find Hyponyms Between Ontologies

The discovery of hyponymy relationships between elements belonging to two different ontologies is a common task when integrating semantic information from different sources. Most of the existing work combines several strategies or criteria to take a global decision (if there is an hyponymy relationship or not) for each pair of entities. However, such heuristics are typically not separately evaluated. In this paper, we evaluate two techniques used in the discovery of hyponymy relationships based on shared properties and on similar entity names. We also use translation dictionaries to deal with cross-lingual ontology pairs and lexical resources to increase the number of names of an entity. Our experiments make it possible to identify some limitations of ontology sets commonly used as benchmarks and to argue that more complex lexical similarity measures are needed.
The Economic Impact of Digital Fiat Currency (DFC): Opportunities and Challenges

The huge rapid growth of using internet and technology has been affecting all economies whether emerging or developed across the world. The financial sector is one of the sectors that has been directly influenced by technology due to the growth of electronic commerce and electronic payments. The emergence of digital currencies such as Bitcoin and the underlying blockchain as well as the distribution ledger technology have attracted significant interest. These developments have raised the possibility of considerable impacts on the financial system and perhaps the wider economy. The huge price leaps that happened to Bitcoin towards the end of 2017 until it reached its highest ever price, (19000 USD) since the beginning of its trading, followed by the significant fall that took place afterwards till it fell under the level of 4000 USD in 2018, made the Central banks more worried about the future of this market. In addition to that, the increase of developing new cryptocurrencies as well as the lack of control over it, made the central banks very alert to the futuristic view of this sector keeping their eyes wide open to this rapid growth. As a result, over the past few years, public authorities and central banks around the world have been monitoring developments of digital currencies and studying their implications. A question that has been raised frequently is whether central banks themselves should issue digital currency that could be used by the general public or not. The legal status of cryptocurrencies was always in question. Some administrations have banned them and other had implicit bans. In many other countries they are still under study and only official warnings from using and investing in cryptocurrencies were announced. The idea of issuing the central bank cryptocurrencies or Digital Fiat currencies has been studied by central banks in order to offer a formal/legal substitute for the consumer that is trusted and protected by central banks. Transitioning from private Cryptocurrencies to a legally issued digital currency will enhance the suite of financial inclusion tools that are already in place, offer cash-only households a leap into digital transactions, and increase the consumer choices of how to manage their household income and expenditures.
The design and implementation of the wolfram language compiler

The popularity of data- and scientific-oriented applications, abundance of on-demand compute resources, and scarcity of domain expert programmers have given rise to high-level scripting languages. These high-level scripting languages offer a fast way to translate ideas into code, but tend to pay a heavy performance overhead. In order to alleviate the performance penalty, each implementation of these languages often offers a compilation path to a subset of the language.
Performance Comparative Analysis of Monocrystalline and Polycrystalline Single Diode Solar Panel Models using the Five Parameters Method

The use of renewable energy as a source of electrical energyincreases every year. Unfortunately, Indonesia does not have manypower plants that utilize renewable energy sources. The mostpotential renewable energy in Indonesia is the sunlight with the helpof solar panels that converts solar energy into electrical energy.However, the environment could affect the solar panel module andin turn, affect the performance of solar panels or the generatedelectric energy. This research calculated the performance of solarpanels with a single-diode model using the Five Parameters methodthat required solar panel module specification data, the totalradiation absorbed by the solar panel module, and the temperatureof the environment. The Five Parameters method is a methodmodeled after solar panel module performance in the form of thesingle-diode equivalent circuit. The Five Parameters method isreliable in predicting the energy produced by the solar panels whenthe input data is limited. The results for using the Five Parametersin monocrystalline solar panels were Isc = 1.827 A, Imp = 0.662 A,Voc = 18.221 V, Vmp = 15.019 V, Pmp = 9.955 W. And the results inpolycrystalline solar panels were Isc = 1.926 A, Imp = 0.686 A, Voc =17.594 V, Vmp = 14.166 V, Pmp = 9.722 W. Based on the results; itwas concluded that the most efficient and optimised types of solarpanels on natural conditions in Sendang Biru Beach was themonocrystalline solar panel because it produced electrical outputpower of 9.955 W. Therefore, there could be a manufacturer ofsolar energy power plants to reduce the cost of electricity in thecoastal area, such as in Sendang Biru Beach.
Le vaccinazioni. Lineamenti ricostruttivi di diritto costituzionale su un tema dominato dalle evidenze scientifiche

Vaccinations are at the center of renewed attention due to the effects produced by social networks on democratic processes. The public debate, in particular on the issues around vaccinations, has been polluted by misinformation and conspiracy theories. The theme is therefore examined by focusing on the issue of scientific evidence and the role of both science and the law in regulating issues of public interest. The paper also deals with specific burning issues such as the rights and duties of medical and paramedical personnel and the balance between the right to health and the right to education of children. In conclusion, some possible solutions are offered.
Pengaruh Model Quantum Teaching Terhadap Aktivitas Belajar, Keterampilan Metakognitif dan Hasil Belajar Peserta Didik Kelas X SMAN 3 Barr

Abstract: Learning is a process of interaction between students and educators and learning resources in the learning environment through the use of the learning model needed as a reference and pattern to teach students systematically and effectively and efficiently. The selection of learning models is very important in order to attract the attention of students, make them comfortable learning, in accordance with the character of teaching material, and can help achieve learning goals. One of the learning models presented by world education experts is a Quantum Teaching learning model that presents lively learning with all its nuances, with a TANDUR learning design framework that divides learning into two elements namely context and content, creating an effective learning environment, interactions and moments learning that makes students learn meaningfully. Quantum Teaching is believed to be able to improve student learning achievement, which has been proven by previous studies, can also affect student learning activities through a framework of Quantum Teaching design, and is believed to be able to improve life skills in students' metacognition skills. Through this study, the researchers tried to examine the effect of the Quantum Teaching model on learning activities, metacognition skills, and learning outcomes of class X students of SMA Negeri 3 Barru, with the aim of (1) To describe the activities of students who were taught the Quantum Teaching model, To find out the description of the metacognitive skills of students who are taught the Quantum Teaching model, (3) To find out the description of the learning outcomes of participants who are taught the Quantum Teaching model, (4) To determine the effect of Quantum Teaching models on student learning activities Quantum Teaching for students' metacognition skills, (6) To determine the effect of the Quantum Teaching model on student learning outcomes. This type of research is a quasi-experimental research design with Pretest-Postest Control Group Design involving two groups, namely the experimental group and the control group. The subject of this study is the X grade science students of SMA 3 Barru in odd semester 2019/2020. Sampling is done randomly (Random class) for determining the experimental group and the control group. Data will be obtained through tests and observations. The collected data was analyzed using descriptive and inferential quantitative data analysis based on measured variables.  Keywords: Quantum teaching, learning activities, metacognition skills, and learning outcomes.
Speech Recognition Based on Genetic Algorithm Optimized Support Vector Machine

With the development of artificial intelligence, intelligence is becoming more and more common. Among them, speech emotion recognition is an outstanding direction of intelligence and an important research direction of artificial interaction. Aiming at the problem of speech emotion recognition, this paper uses genetic algorithm to optimize support vector machine to recognize speech emotion. In the experiment, the Chinese academy of sciences language library was used for training and testing, and a wavelet packet based principal component analysis was used for feature extraction, and compared with the traditional speech emotion recognition. The experimental results show that the optimal support vector machine recognition rate is 95%.