Reviewerly/exHarmony huggingface dataset:
Clinical profile of hypochromic microcytic anemia in Chittoor district, India

Background: Anemia is not a diagnosis by itself like fever but merely is an objective sign of the presence of disease. The correct diagnostic terminology for a child with anemia requires the detection of etiology, pathology, and pathogenesis of the anemia. To evaluate the role of therapeutic oral iron therapy as a diagnostic approach to hypochromic microcytic anemia.Methods: The present study is a retrospective study conducted at the teaching hospital, Chittoor district from September 2019 to December 2019. A total number of 350 cases of anemia were studied from both inpatient and outpatient services in the age group 2 months to 12 years. Hemogram, Hb Electrophoresis, and bone marrow study as necessary based on individual cases.Results: From the above analysis, the mean Hb% at the time of entry to study was 7.36gms%. The mean Hb% after the iron therapy was 11.8gms%. The mean increase in Hb was 4.4gms%. In this study, the average RBC count was 2.9 million cells/cumm.Conclusions: A therapeutic trial of oral iron is an appropriate initial step in the diagnostic approach of hypochromic microcytic anemia. Costly investigations like Hb electrophoresis and bone marrow study are required only in selected cases.
Premium Access to Convolutional Neural Networks

Neural Networks (NNs) are today used for all our daily tasks; for instance, in mobile phones. We here want to show how to restrict their access to privileged users. Our solution relies on a degraded implementation which can be corrected thanks to a PIN. We explain how to select a few parameters in an NN so as to maximize the gap in the accuracy between the premium and the degraded modes. We report experiments on an implementation of our proposal on a deep NN to prove its practicability.
Teachers' and Students' Perceptions of Technology in Education

This study focuses on elucidation of the perception of actors in education toward the use of technology in the 2013 Indonesian Education Curriculum (C-13). The study was done at SMA Plus YPHB and SMAN 4 Bogor, high schools located in Bogor City, West Java, Indonesia. The specific policy that underlies this study is the Regulation of Ministry of Education and Culture No.70/2013 in the point of completion mindsets No. 6 about the shift from single tool learning to multimedia-tool based learning. This paper integrates mixed methods—qualitative and quantitative methods, which use questionnaires and interview by incorporating Extended Technology Acceptance Model (TAM) using path regression analyses. The subjects of the research are teachers and students in the schools, an education practitioner, and an educational policy advisor. Furthermore, the assessment was done toward the perceptions of educational technology infrastructure, such as computers/laptops, projectors, speaker, Internet, software application and mobiles. The results show that Perceived Usefulness (PU) is better shaped by Perceived Ease of Use (PEU), Attitude Toward Using (ATU) is influenced by PEU, and Intention to Use (IU) is significantly affected by ATU. However, the external variables are novel for teachers and students. For teachers, the external variables do not determine PU, yet age influences PU for students. Thus, teachers and students show good intention to use the technology providing they embrace positive attitudes in using it.
ANALISIS FRAMING BAHASA BERITA TINDAK KRIMINAL PADA MEDIA MASSA

The problem in research, namely how is the choice of words in mass media framing of crime news? What are the techniques and models of mass media framing of crime news? What is the response of the community to the use of non-criminal news language and its influence on society? This study aims to describe and inventory the concept of the crime language news framing in the mass media. The concept of framing described is related to the choice of words in mass media framing, techniques and models of mass media framing of crime news and public response to the use of non-criminal news language and its influence on society. The method used in this study consists of three stages, namely the stage of data collection, the stage of data classification, and the stage of data analysis. Data obtained from print media mass media. Technically, this research was conducted using the method of listening and proficient methods in providing data. The proficient method can be compared with the interview method. In data analysis, editing, coding, and matching methods are used. Based on data analysis, the choice of words in the language of news framing of crimes is generally in favor of the victim. News writers choose words that can accompany the reader's mind to sympathize with the victim. In addition, the focus of the news is framing with cognitive, empathy, and packing techniques. The framing model in crime news language has four structural dimensions of news text as a framing device, namely syntax, script, thematic, and rhetorical. Keyword: framing, language, crime news, and mass media
Students’ Self-Monitoring Skill Classification in Learning Activities

Intelligent Tutoring System (ITS) provides personalized instruction based on the level of knowledge and learning preferences of students.At ITS, student modeling has an important role; the role of student modeling in ITS includes student knowledge that is used to produce lessons, problems, feedback, and personalized learning guidance.ITS has the potential to develop into metacognitive tools.One of the metacognitive strategies is self-monitoring.Self-monitoring is a metacognitive strategy that students possibly control their learning activities.Developing an ITS with metacognitive needs rules for the treatment.The rules in ITS are from the classification method.This study focuses on self-monitoring skill as the metacognitive strategy to develop ITS.This paper will provide a method which can classify students' selfmonitoring skill.Bayesian network is used as a method to classify students' self-monitoring in this research.The result shows that the Bayesian network can classify students' selfmonitoring skill accurately.The accuracy result for the classification is 94%.The classification of self-monitoring skill can be used to develop metacognitive scaffolding in an ITS.
Algebraic Approach to the Description of Temporal Knowledge in Decision Support Tasks

The problem of automated construction of a temporal knowledge base for supporting decision-making in solving partially structured and unstructured organizational management problems is considered. The solution to this problem is associated with the formalization of temporal relations, reflecting the implemented sequence of control actions. The formal description should take into account not only the relationship in time between control actions, but also the static dependencies between the structural elements of the organizational management object, represented by the organizational structure of the object. An algebraic approach to the description of temporal knowledge is proposed. According to this approach, common temporal rule is defined. The rule determine the relationship in time between facts. Each logical fact is knowledge about the state of the control object at a certain point in time. The rule establishes temporal dependencies for time-consistent facts, as well as for facts, which are true at certain intervals. The proposed algebraic approach makes it possible to combine temporal relations that reflect the control process with dependencies, taking into account the structure of the control object.
Meandering Fractals in Water Resources Management

Fractal dimension is a measure for the degree of complexity or that of fractals.An alternative to fractal dimension is ht-index, which quantifies complexity in a unique way.Back to your question, the physical meaning of fractal dimension is that many natural and social phenomena are nonlinear rather than linear, and are fractal rather than Euclidean.We need a new paradigm for studying our surrounding phenomena, Not Newtonian physics for simple systems, but complexity theory for complex systems, Not linear mathematics such as calculus, Gaussian statistics, and Euclidean geometry, but online mathematics including fractal geometry, chaos theory, and complexity science in general.A channel is characterized by its width, depth, and slope.The regime theory relates these characteristics to the water and sediment discharge transported bye the channel empirically.Empirical measurements are taken on channels and attempts are made to fit empirical equations to the observed data.The channel characteristics are related primarily to the discharge but allowance is also made for variations in other variables, such as sediment size.
The Preference of the Vocational High School Student for Higher Education Online Learning

The research for student preferences to study in college or studying while working is scarce.There is a difference between full-time mode and the online learning mode preferences.Since the research on this characteristic is scarce, we are conducting a sample for 203 vocational high school students from 20 schools.The findings show that vocational high school student prefers online learning, working, and studying compare to being full-time student.These findings show that Higher Education should deliver good attributes that could support their needs to learn and also to work.They also want a gradual method of payment, competitive price for tuition, since they are preparing to pay the tuition with their own money, moreover the prefer online learning.
MATHEMATICAL MODEL FOR AUTOMATIC CREATION THE SEMANTIC THESAURUS FOR THE SCIENTIFIC TEXT

The paper deals with the issues related to the use of the algorithm of constructing the semantic model of the document for the creation the thesaurus of the scientific text terms in the natural language. The purpose of the paper is to develop an approach to create matching between elements of scientific text that do not have a direct syntactic link, but are semantically related to the one field. The relevance of the research is that the system does not use linguistic or vocabulary knowledge during its work, which makes it a universal tool for forming semantic correspondence between terms in a scientific text. Obtained results show that the semantic labels of a document have the highest number of intersections with semantic contours when they contain the largest number of semantically significant stems in their composition, which allows to make assumptions about a direct semantic connection between terms corresponding to such stems.
РІВНІ ІНШОМОВНОЇ КОМПЕТЕНТНОСТІ МАЙБУТНІХ ФАХІВЦІВ СОЦІАЛЬНОЇ СФЕРИ

&#x0D; &#x0D; &#x0D; &#x0D; The article presents the results of experimental research of foreign language competence level of future social sphere specialist. The experimental data are compared with the results of students’ under study self-assessment of their foreign language competence level. The article shows the results of the influence of methodological system of foreign language training of future social sphere specialist on the increase of the level of foreign language competence among participants of experimental groups. Creative, medium, satisfactory and unsatisfactory levels of foreign language competence of future social sphere specialist are characterized from the point of view students’ reflexion. The research approves the effectiveness of pedagogical influences introduced at the forming stage of the experiment through approbation of the author’s methodical system of foreign language training in the university.&#x0D; &#x0D; &#x0D; &#x0D;
PENGEMBANGAN MEDIA PEMBELAJARAN ANDROID PADA MATA KULIAH TEKNIK PENGELASAN 1 DI PROGRAM STUDI PENDIDIKAN TEKNIK MESIN UNIVERSITAS SRIWIJAYA

This study aims to produce media of learning the android in the course of techniques welding 1 in mechanical engineering education courses valid and practical.This is the development research and using the model of development Rowntree and tessmer evaluation.The object of research is based on media of learning the android and the research subjects are students of the education the mechanical engineering force 2017.Expert validation is perfomed to detemine the validity of the product.Questionnaire is used to determine pratically product developed.The results of the validation phase validity obtained a percentage of 79% for validation mof media and 88% for material validation.The products have been validated tested to the individual stages and then the product validated in accordance with the advice and comments validator and students.Furthemore, to determine the practically of media trials conducted small group and field test.In the pilot phase a small group of practically questionnaire obtained percentage value of 83% and the percentage value assigned the field test questionnaire practically by 95%.The media of learning the android in the course of taking the welding technique 1 declared valid and practical.
A New Statistical and Verbal-Semantic Approach to Pattern Extraction in Text Mining Applications

The discovery of knowledge in textual databases is an approach that basically seeks for implicitrelationships between different concepts in different documents written in natural language, inorder to identify new useful knowledge. To assist in this process, this approach can count on thehelp of Text Mining techniques. Despite all the progress made, researchers in this area must stilldeal with the large number of false relationships generated by most of the available processes.A statistical and verbal semantic approach that supports the understanding of the logic betweenrelationships may bridge this gap. Thus, the objective of this work is to support the user with theidentification of implicit relationships between concepts present in different texts, consideringthe causal relationships between concepts in the texts. To this end, this work proposes a hybridapproach for the discovery of implicit knowledge present in a text corpus, using analysis based onassociation rules together with metrics from complex networks and verbal semantics. Througha case study, a set of texts from alternative medicine was selected and the different extractionsshowed that the proposed approach facilitates the identification of implicit knowledge by theuser
Distance Learning as a Means of Forming the life Competencies of Children with Special Educational needs

The article presents the results of experimental work using distance learning for children with intellectual and motor disabilities.Within the framework of the system-activity approach using electronic educational resources, it is shown that it is possible to effectively form the components of life competencies: communication and motor skills.In an educational organization, this process allows for targeted interaction with parents and students with special educational needs who are unable to attend school.The system of working with parents and students using modern on-line activities, graphic editors, game methods, kinesiology methods, interactive elements of interaction in the process of manual labor is described.The results are presented qualitatively and quantitatively based on the implementation of work in an experimental group of primary school children with a complex diagnosis.
Безошибочное различение когерентных состояний двухмодового оптического поля

The procedure of a quantum measurement, the unambiguous state discrimination, is studied for the case of four two-mode coherent states of the optical field, interesting for information transmission via an optical communication channel. It is shown that a complex conjugation of the amplitude of one of the modes results in a better distinguishability of the states. An interferometric scheme is suggested for unambiguous discrimination of such states and the probability of successful discrimination is found. Applications of the considered state set are discussed for quantum cryptography, quantum teleportation and optical communications with a high level of loss.
Correction to: Using Positive Spanning Sets to Achieve d-Stationarity with the Boosted DC Algorithm

Section 2.2 contained a typesetting error in the initial online publication. The original article has been corrected.
Machine learning classifier of medical specimen images

Specimen x-ray imaging provides important information on the margin of surgically excised tissue as well as radiologic and pathologic correlation of the lesion. Similar to breast imaging, where mammograms are digitally processed to enhance readability and lesion conspicuity, specimen images are also processed and enhanced. However, specimen image processing is made challenging by the diversity of specimen containers that are commercially available, compounded by variations in specimen size. In this work, we demonstrate our specimen container and size classification system based on a simple convolutional neural network (CNN), trained to identify the container type. This system allows for automated image processing of the supported container types. A dataset consisting of 1428 HIPAA and IRB-complaint anonymized specimen images were collected. We prepared a simple CNN for image classification with 3 convolutional and 3 fully connected layers, and evaluated the performance based on three comparison metrics. Each network was analyzed in terms of accuracy, multi-class AUC, and via a confusion matrix. The best performing classifier, determined via cross validation, was then used for testing, and evaluated with the same three metrics. The results of training and tuning within cross validation showed that the specimen classes are easily differentiable with this simple convolutional neural network structure. During testing, the network was able to achieve an accuracy of 95.8&plusmn;4.0%, and an AUC of 0.9763&plusmn;0.0001.
PCN286 GENERALIZABLE MACHINE LEARNING FRAMEWORK FOR PREDICTIVE MODELING OF PATIENT OUTCOMES USING ONCOLOGY ELECTRONIC HEALTH RECORDS

In oncology, accurate and reliable prognostic assessments enhance clinical decision-making, both in practice and research contexts. We describe a generalizable, broadly-applicable machine learning framework for predicting patient outcomes using oncology electronic health record (EHR) data. The framework consists of: (i) Research question identification, including a patient-level variable (“label”) to predict. (ii) Index date and observation window definition, extracting patient features for a relevant cohort. (iii) Model training using standard cross-validation techniques to optimize predictive ability. (iv) Model evaluation on an unseen cohort subset to predict the outcome label, evaluate model effectiveness, and rank features on their predictive importance. We applied this approach to a cohort of multiple myeloma patients in a predictive model of 5-year mortality post-autologous-transplant. The framework provided two outputs: 1) four standard machine learning models (logistic regression, random forest, support vector machine, gradient boosted trees) with performance metrics (AUC, precision, recall, accuracy); 2) a ranked list of outcome-predictive patient features according to the models. In the multiple myeloma analysis (n=1099) the label was 5-year-survival after transplant date, and EHR-defined features included demographics, medication administrations, lines of therapy, lab results, and cytogenetic or biomarker testing status. Random forest and gradient boosted trees achieved AUC of 0.79 and accuracy of 0.76; the most predictive (highest absolute weight) features identified were M-spike, chromosome 1 abnormalities, and diagnosis age. We have developed a generalizable machine learning framework, agnostic to specific cancer diagnosis, to improve the prediction of specific outcomes and to identify potentially-predictive features using oncology EHR-derived data. Customized models based on this framework could be applied to adverse event prediction, early detection of disease progression, and hospital readmission risk with relatively minimal labor duplication, streamlining HEOR opportunities.
Аnthropological crisis searching for overcoming strategy

The article deals with the anthropological crisis problem in the conditions of contemporary world essential transformations. Contemporary thought significantly influenced by the informational technologies and genetic engineering researches results strives more and more to reconsider the previous positions in comprehension of human and to form his new image – harmonious and even more intelligent than it was in enlightenment epoch. At the fall of 20th century post-structuralism and post-modernism have completely destroyed the classical human-subject model and changed the focus from metaphysical dimension of life to the practical, bodily, down to earth. Such point of view became a natural consequence of western culture development where the diverse ways of a new space-time perception are realised with new technologies and mass communications net. However to create full-fledged and practically useful human model there is necessary to analyse possible perspectives of its applying, particularly in education and upbringing and this requires changes in general worldview and philosophical basis. There were considered two possible strategies of crisis overcoming – constructivism approach and transhumanism ideas. Constructivism negates the priory definite substantive human nature, his fundamental guidance and motivations. In contrast constructivism considers human to be psychological process and proposes the description of those ways humans follow constructing their lives. So human’s behaviour is not governed but chosen, and he has no already given authorities. According to transhumanism today human is changed by “post-human” capable to manage his psych, intellectual and strong-willed characteristics. In transhumanism there is also emerged extropy direction involving gradual technogenic development and human evolving on the basis of the principles formulated by max more. In those principles application more sees the philosophy of future human though all of them presuppose human to be the reason possessor capable to change himself and the world with the help of education and science. Embodiment of extropy ideas requires the significant transformation of all the educational and upbringing system and even more – the change of humankind life basis. Both approaches assert the refusal of transcendental dimension though it sharpens the question about each person contribution into the new human model formation process that could cause certain complications in implementation of both projects.
Multi-Platform Collocation to Create Quality Online Courses

This paper describes the whole process of online teaching of Unit Operations of Chemical Engineering by QQ split screen and supernovae learning.The pre-class preparation, online teaching mode and using skills are presented in detail.Moreover, the processing schemes are presented to deal with the key problems and students' questions.It can help teachers with zero online teaching experiences implement online teaching, which certainly provides alternative methods for teachers.
Integration with Unreal Engine 4

Substance Painter was first widely adopted by the game industry. Substance has a well-defined workflow as well as direct integration with modern game engines such as Unreal Engine, Unity, and CryEngine. We will focus primarily on Unreal Engine as our target engine in this chapter.
ELECTRONIC COMMERCE AND BUSINESS

“  Economics  is  the  study  of  how  man  society  choose,   with  or  without  the  use  of  money  the  scarce  productive  resources  which  could  have  alternative  uses,  to  produce  commodities  over  and  distribute  them  for  consumption  now  and  the  future  amongst   various  people  and  groups  of  society. “