Reviewerly/exHarmony huggingface dataset:
Regional and Contact Metamorphism of the Dizi Series (the Greater Caucasus)

&amp;lt;p&amp;gt;The Greater Caucasus - the complex geological structure of the Caucasus is an integrated part of the Mediterranean (Alpine-Himalayan) collision orogenic belt. The Dizi series is exposed within the Greater Caucasus Southern Slope zone, in the core of Svaneti anticlinorium. It is composed of faunistically dated from the Devonian to the Triassic inclusively thin-striped and crenulated terrigenous deposits, various volcanites and marbles. Despite the well-studied stratigraphy and tectonics of the Dizi series, the issues of metamorphism, unlike the other rocks of the pre-Alpine crystalline basement of the Greater Caucasus are less studied. The rocks of the Dizi series underwent regional metamorphism of the greenschist facies chlorite-sericite sub-facies under a temperature of 300-340&amp;amp;#176;&amp;amp;#1057; and pressures of &amp;amp;#8776; 2-2.5 kbar. Characteristic mineral assemblages are established on the basis of microprobe analysis of chlorite, K-mica, plagioclase, actinolite, actinolitic hornblende and prehnite. Due to the contact impact of the Bathonian intrusions on the regionally metamorphosed rocks of the Dizi series, various hornfelses, spotted schists and skarns were formed. Composition of minerals of contact-metamorphism - biotite, cordierite, muscovite, plagioclase, cummingtonite, hornblende, chlorite, clinopyroxene, clinozoisite and K-feldspar is determined. According to the results of studies of key mineral assemblages of contact-metamorphosed rocks, three exocontact zones are distinguished, corresponding to the albite-epidote-hornfels, andalusite-biotite-muscovite-chlorite-hornfels and andalusite-biotite-muscovite-hornfels sub-facies conditions. The first zone is marked by the appearance of biotite, muscovite and plagioclase of oligoclase-andesine series in metapelites; hornblende, biotite and clinozoisite in metabasites and amphibole schists; wollastonite and clinozoisite in carbonate-silicate schists. The beginning of the second zone is marked in the appearance of cordierite, corundum in metapelites and of scapolite in metabasites and carbonate-silicate schists. By the disappearance of chlorite in the metapelites, the appearance of cummingtonite in metabasites and garnet in carbonate-silicate schists, a transition to the third zone is established. In the high-temperature part of the last zone, in the metapelites fibrolite is formed. The maximum temperature in the aureole of contact metamorphism is 550&amp;amp;#8304;&amp;amp;#1057;, and the pressure is about 0.5-1 kbar. Due to very low pressure during the re-crystallization of rocks pyralspite garnet is missing in the mineral associations of the Dizi series rocks. Instead of garnet, the association of chlorite-quartz-muscovite appeared. Under the conditions of increasing temperature during the metamorphism a change in the characteristic features of the mineral composition is shown graphically. Based on the accessible data the authors have drawn the contact metamorphism fields on the existing general scheme of facies and subfacies of regional metamorphism.&amp;lt;/p&amp;gt;
The Design and Development of Android-Based “Puzzle Games” Mathematics Learning Media

Games that improve the ability of elementary school students to learn abstract things is needed more now than ever before.Learning media is important in presenting the subject of learning.The purpose of this study was to develop a mathematical learning media design on plane subject using the Android operating system applicable on mobile phones.The methodology used was Research and Development (RnD) with ADDIE approach.The research included three stages 1) Analysis of the needs and availability of mathematics learning media needed by elementary school students.2).Designing the appearance of puzzle and games subject suitable for elementary school students.3) Development of mathematics learning media using android-based puzzle games.
Comparison of automated method and photometric cyanmethemoglobin method for haemoglobin estimation

Haemoglobin is one of the commonest tests required in pathology labs. There are many methods of haemoglobin estimation. Common methods used are sahli’s acid hematin method, photometric cyanmethemoglobin method with hemoglobin estimation by colorimeter, automated method by cell counter. To evaluate accuracy of hemoglobin estimation by manual photometric method versus automated method by hematology cell counters using the same sample at the same time. Blood samples of 460 adult patients and 72 children (&amp;#60;15 Yrs), including outdoor and indoor, between May 2019 to Aug 2019, attending H.I.M.S.were collected in EDTA tubes. Samples were properly mixed on blood shaker. Hemoglobin estimation done by photometric cyanmethemoglobin method by AIMIL digital colorimeter and by Mindray (BC5150) automated cell counter. Results by photometric method showed higher mean value compared to automated method by 2.52%. Commercial control results showed 2.2% coefficient of variation by Mindray cell counter and 2.9% by photometer Both methods are accurate with 2.52% more mean value in photometric method. When Haemoglobin is the only test required, photometric method is cost effective and feasible. If sample size is large as in tertiary care hospitals and multiple parameters like complete blood count (CBC) are needed, automated method is time effective and feasible
Formation of Hybrid Artificial Neural Networks Topologies

Let us set the problem of neural network synthesis as follows.
Fair and Useful Cohort Selection

As important decisions about the distribution of society's resources become increasingly automated, it is essential to consider the measurement and enforcement of fairness in these decisions. In this work we build on the results of Dwork and Ilvento ITCS'19, which laid the foundations for the study of fair algorithms under composition. In particular, we study the cohort selection problem, where we wish to use a fair classifier to select $k$ candidates from an arbitrarily ordered set of size $n>k$, while preserving individual fairness and maximizing utility. We define a linear utility function to measure performance relative to the behavior of the original classifier. We develop a fair, utility-optimal $O(n)$-time cohort selection algorithm for the offline setting, and our primary result, a solution to the problem in the streaming setting that keeps no more than $O(k)$ pending candidates at all time.
Joint model for longitudinal mixture of normal and zero-inflated power series correlated responses <i>Abbreviated title:mixture of normal and zero-inflated power series random-effects model</i>

In this paper, a joint model is presented for analyzing longitudinal continuous and count mixed responses. The frequency distribution of continuous longitudinal response variable for each subject at any time has a skewed and or multi-modal form. Then, a suitable finite mixture of normals is used as its distribution. It seems that the continuous response comes from several distinct sub-populations. The number of zeros of the count response is inflated. Also, a zero-inflated power series (ZIPS) distribution is applied as its distribution in order to model the count response. The correlation of longitudinal responses through time and that of mixed continuous and count responses are modeled by utilizing the random-effects vectors in the finite mixtures of regression (FMR) models. Further, a full likelihood-based approach is used to obtain the maximum likelihood estimates of parameters via the EM algorithm. Then, some simulation studies are performed for assessing the performance of the model. Additionally, an application is illustrated for joint analysis of the number of days during the last month that the individual drank alcohol, as well as the respondents’ weight. Finally, the two first times of the Americans Changing Lives survey are evaluated.
MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation

Given a set of uncertain discrete variables with a joint probability distribution and a set of observations for some of them, the most probable explanation is a set or configuration of values for non-observed variables maximizing the conditional probability of these variables given the observations. This is a hard problem which can be solved by a deletion algorithm with max marginalization, having a complexity similar to the one of computing conditional probabilities. When this approach is unfeasible, an alternative is to carry out an approximate deletion algorithm, which can be used to guide the search of the most probable explanation, by using A * or branch and bound (the approximate+search approach). The most common approximation procedure has been the mini-bucket approach. In this paper it is shown that the use of probability trees as representation of potentials with a pruning of branches with similar values can improve the performance of this procedure. This is corroborated with an experimental study in which computation times are compared using randomly generated and benchmark Bayesian networks from UAI competitions.
Beat Machine: Embracing the Creative Limitations and Opportunities of Low-Cost Computers

The Beat Machine is a handheld music synthesizer and sequencer. The authors discuss the development of the Beat Machine and how creative constraints and opportunities were introduced by the particularities of low-cost microprocessors and associated electronics. The discussion is framed as an exemplar of Kåre Poulsgaard's concept of enactive individuation, a framework for relating material engagement to digital design and fabrication. In reflecting on the design and making of the Beat Machine the authors connect this framework with more established notions of creative interaction and the affordances of digital media.
Fall risk in the aging population: fall prevention using smartphones technology and multiscale sample entropy

Falls are an important aspect of older people's health because they trigger major injuries and even death in one-third of fallen patients, making them a major public health problem. Given the risk of physical and psychological injury, if serious injuries occur as a result of a fall, prevention is an important consideration in today's health care landscape, where the population is predominantly adult world wide. This paper presents the applicability ofa simple technique of analysis of gait signals capturedby mobile devices with the objective to the generation of early warnings on the risk of falls in older adults, which correlates with subjective scales. The technique is tested in a population of patients showing results of the significant risk of falls inpatients that the subjective scales could not detect, demonstrating that mobile devices and signal processing can become important tools in the service of elderly care in fall risk prevention.
An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR

In this project, we have successfully designed, implemented, deployed and tested a novel FPGA accelerated algorithm for neural network training. The algorithm itself was developed in an independent study option. This training method is based on Alternating Direction Method of Multipliers algorithm, which has strong parallel characteristics and avoids procedures such as matrix inversion that are problematic in hardware designs by employing LSMR. As an intermediate stage, we fully implemented the ADMM-LSMR method in C language for feed-forward neural networks with a flexible number of layers and hidden size. We demonstrated that the method can operate with fixed-point arithmetic without compromising the accuracy. Next, we devised an FPGA accelerated version of the algorithm using Intel FPGA SDK for OpenCL and performed extensive optimisation stages followed by successful deployment of the program on an Intel Arria 10 GX FPGA. The FPGA accelerated program showed up to 6 times speed up comparing to equivalent CPU implementation while achieving promising accuracy.
The Economics of Cyberattacks on Brazil

Cyberattacks have significant economic, political, and privacy-related impacts in Brazil. Regulatory and enforcement measures have been insufficient to prevent these attacks. The authors analyze these trends and assess some recent measures to address these issues.
The strategy for providing access to the digital resources of RAS SB State Public Scientific and Technological Library: Aspects of implementation

The key provisions of the strategy of providing access to the digital resources developed by the Periodicals Department of RAS SB SPSTL and several implementation aspects are discussed. Understanding the trends within the Library’s social environment makes the foundation for designing efficient criteria for building the Library’s heterogeneous collection and meeting information demands in science and technology of its community. Today the Library’s strategic goal is to design an efficient regional library and information system to serve not only scientists, research, R&amp;D and industrial organizations but also the city’s and region’s higher institutes and universities. The priority of digital resources against the traditional ones makes the fundamental principle of developing the library collection. The significance of trial access aimed at improving digital subscription parameters is emphasized. The experience of implementing the project of corporate access of scientific and research organization to digital resources is discussed. This vector is seen as a promising one along with other strategic solutions that contribute to increasing time efficiency, completeness and service quality within the new information environment.
QDCT Encoding-Based Retrieval for Encrypted JPEG Images

Aprivacy-preserving search model for JPEG images is proposed in paper, which uses the bag-of-encrypted-words based on QDCT (Quaternion Discrete Cosine Transform) encoding. The JPEG image is obtained by a series of steps s... | Find, read and cite all the research you need on Tech Science Press
Psychological and Pedagogical Aspects of the Development of Integrative Readiness of Future Specialists for Professional Activity

The need to develop an integrative readiness of future specialists is a relevant scientific problem. The reasons for this could be based on the fact that that the specialists-to-be were expected to be involved in the fierce competition for vacancies and areas of activity, have modern information and communication tools, i.e. have an integrative readiness for professional activity. Institutions do not, however, have a single integration (interdisciplinary) framework for training, do not provide a comprehensive educational information, technical tools, strategies and technologies of education, reasoned psychological and pedagogical conditions. According to the author, the integrative readiness of future specialists for professional activity is a system-personality formation that reflects the unity of theoretical and managerial training and practical ability of students to comprehensively apply regulatory, socio-economic, psychological and pedagogical methods and technologies for solving different problems. This readiness reflects the unity of the motivational inclination of future specialists to professional activity and knowledge of practical technologies for solving a wide range of professional problems in personal and business interactions. The research methodology is based on the concept of key competence, which provides systematization, classification of significant problems, development of a matrix of significant problems, and determination of overall strategy, management technology of professional training development process. Students and teachers can use research materials can be used by in educational and practical activities; developers of content, organizational forms and methods of professional training to improve the practical component of curricula and standards of their development.
SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications

Intel SGX has been a popular trusted execution environment (TEE) for protecting the integrity and confidentiality of applications running on untrusted platforms such as cloud. However, the access patterns of SGX-based programs can still be observed by adversaries, which may leak important information for successful attacks. Researchers have been experimenting with Oblivious RAM (ORAM) to address the privacy of access patterns. ORAM is a powerful low-level primitive that provides application-agnostic protection for any I/O operations, however, at a high cost. We find that some application-specific access patterns, such as sequential block I/O, do not provide additional information to adversaries. Others, such as sorting, can be replaced with specific oblivious algorithms that are more efficient than ORAM. The challenge is that developers may need to look into all the details of application-specific access patterns to design suitable solutions, which is time-consuming and error-prone. In this paper, we present the lightweight SGX based MapReduce (SGX-MR) approach that regulates the dataflow of data-intensive SGX applications for easier application-level access-pattern analysis and protection. It uses the MapReduce framework to cover a large class of data-intensive applications, and the entire framework can be implemented with a small memory footprint. With this framework, we have examined the stages of data processing, identified the access patterns that need protection, and designed corresponding efficient protection methods. Our experiments show that SGX-MR based applications are much more efficient than ORAM-based implementations.
OPPORTUNITIES FOR CONTINUOUS EDUCATIONAL SPACE

The space of modern education is voluminous. It is so capacious that it can accommodate any number of different educational systems. On the one hand, these are systems of pre-school, General, and vocational education, which in turn include subsystems of the basic level (primary, secondary, and higher professional education, etc.). On the other hand, and this point is discussed in the article, the concept of “educational space” covers not only the system parameters of the largest integrated education system in the scale of society (city, region, country, world), but also other characteristics that make it possible, based on the analysis of their state, structure and dynamics, to speak convincingly about the directions and quality of development of socio-cultural relations in General.
Development, Implementation and Evaluation of a Smartphone-Based Study Guide for Undergraduate Medical Students

Introduction: Most medical educators agreed that e-Learning is a necessity nowadays and not a luxury shift. Smartphones contribute to the educational process to a great extent. Integrating the use of smartphones in the curriculum has an important innovative role in medical education and health care services. Currently, medical students are using smartphones as part of their daily routine and learning activities. A study guide is a tool designed to facilitate students' interaction with the various components of the curriculum. The idea of using a mobile application in providing information through a study guide to facilitate learning was reported by different studies.&#x0D; Aims: This study aims at designing, implementing and evaluating smart-phone based study guide using mobile enhanced learning technology for the 1st year medical students at Faculty of Medicine, Suez Canal University (FOM-SCU) in order to enhance students' learning experience.&#x0D; The Study Objectives: Design a study guide using mobile application for the 1st year medical students. Implement the newly designed study guide on 1st year medical students (2017-2018). Evaluate the students' performance during PBL tutorial sessions before and after implementing Smartphone based study guide. Assess students' satisfaction regarding the study guide application. Identify challenges of using mobile application in medical education.&#x0D; Study Design: A quasi-experimental (pretest-posttest), using a non-probability convenience sampling, 105 students (response rate 84%), and 16 class tutors (response rate 100%).&#x0D; Place and Duration of Study: Department of Medical Education, FOM-SCU, Egypt during the academic year 2017-2018.&#x0D; Methodology: Using a non-probability convenience sampling technique, 105 students (response rate 84%), and 16 class tutors (response rate 100%).&#x0D; Results: Most of the students (94.3%) stated that smartphone (m-learning) is useful in Medical Education, 80.9% of them agreed that the module objectives can be met through m-learning and 61.9% of the students agreed on recommending m-learning as an innovative method of learning to others. The evaluation of students' performance in the context of Problem Based Learning (PBL) by their class tutors showed a statistically significant improvement in all items regarding the four factors assessed "independent study" (p-value &lt;0.001), "group interaction" (p-value &lt;0.001), "active participation" (p-value &lt;0.001), and "reasoning skills" (p-value &lt;0.001) when comparing pre and post-intervention scores. &#x0D; Conclusion: This study concludes the m-learning has a positive effect on the students’ performance in the PBL context. It is remarkably significant to integrate smartphone-based learning activities in the undergraduate Medical Education curriculum. Our results can encourage other health professions institutions to apply m-learning in different educational situations.
PERANCANGAN SISTEM INFORMASI PENJUALAN OBAT PADA APOTEK SANGUBANYU FARMA JAKARTA

A BSTRACT  --  Technological developments in the present. Very rapid development. This can be felt by the many changes that have been made in the current era. Various kinds of objects to help human activities. Pharmacy is a place of insurance related to pharmacy, distribution of needed pharmaceuticals, and other health equipment for the community. So far, Sangubanyu Pharmacy is still using a manual system in the administration of transactions or recording transactions. Therefore, it is very important a computerized drug sales information system that can simplify and speed up the sales transaction process, accelerate the search for sales reports, and minimize trying to solve the recording problem. Based on these problems the authors propose the design of drug sales information systems at the Sangubanyu pharmacy. The design of drug sales information system is the best solution to solve the problems that exist in these pharmacies. The method used in the design of this program is the waterfall system development method, as well as using the My SQL database as a database server. Furthermore, the results of this design are generated from a web-based drug sales information system program at the Sangubanyu Pharmacy, so that the computerized system is better than the previous system.