Reviewerly/exHarmony huggingface dataset:
Stimulated Raman adiabatic passage-like protocols for amplitude transfer generalize to many bipartite graphs

Adiabatic passage techniques, used to drive a system from one quantum state into another, find widespread applications in physics and chemistry. We focus on techniques to spatially transport a quantum amplitude over a strongly coupled system, such as STImulated Raman Adiabatic Passage (STIRAP) and Coherent Tunneling by Adiabatic Passage (CTAP). Previous results were shown to work on certain graphs, such as linear chains, square and triangular lattices, and branched chains. We prove that similar protocols work much more generally in a large class of (semi-)bipartite graphs. In particular, under random couplings, adiabatic transfer is possible on graphs that admit a perfect matching both when the sender is removed and when the receiver is removed. Many of the favorable stability properties of STIRAP/CTAP are inherited, and our results readily apply to transfer between multiple potential senders and receivers. We numerically test transfer between the leaves of a tree and find surprisingly accurate transfer, especially when straddling is used. Our results may find applications in short-distance communication between multiple quantum computers and open up a new question in graph theory about the spectral gap around the value 0.
Business Environment and Strengthening of the Economy: Selected Countries of Western Asia

The business environment is one of the factors that affect the performance and growth of firms.The business environment is a set of conditions that affect the state of the economy.This paper examines how improvement of the business environment influences strengthening of the economy in the selected countries of western Asia (23 countries) by using panel data method for the period from 2010 to 2017.In other words, we hypothesise that the business environment positively and significantly affects strengthening of the economy in these countries.The paper aims to examine the explanatory variables of strengthening of the economy.The dependent variable is the sum of budget deficit and the facilities of financial and credit institutions to the state budget minus the tax revenue to the state budget.The independent variables are business index, good governance index, economic misery index, foreign direct investment, gross fixed capital formation, government expenditures and population growth.The research findings indicate that the business environment has a positive and significant impact on strengthening of the economy.Thus, in order to strengthen the economy in the considered countries, we suggest using some approaches facilitating the business environment, particularly for productive sectors of the economy, focused on generating productive employment.
Mammographic Image Processing for Classification of Breast Cancer Masses by Using Support Vector Machine Method and Grasshopper Optimization Algorithm

Mammographic Image Processing for Classification of Breast Cancer Masses by Using Support Vector Machine Method and Grasshopper Optimization Algorithm
The Effect of Process Approach on Students’ Writing Competency at SMK Negeri 1 Kubutambahan Bali

This study is intended to explore the effect of process approach on students’ writing competency at SMK Negeri 1 Kubutambahan Bali. This study was experiment with pretest-posttest design. This study involved 30 students and the experiment was conducted three months. The data were collected through writing test. The data were analyzed using descriptive and inferential analysis.. The result shows that the students’ mean score in pretest was 6.3 and the students’ mean score in posttest was 7.7. The result of t test shows a significant difference between pretest and posttest with Sig. (2-tailed) = 0.000. It is suggested that English teacher should be focusing on the process of writing instead of product especially for English students who are still having low language proficiency. The result of the study implies that writing is a process. Writing is a process. In the process, the role of revision, which includes comments and suggestions are very helpful for students in improving their writing.
Modeling Real-World Load Patterns for Benchmarking in Clouds and Clusters

Cloud computing has currently permeated all walks of life.It has proven extremely useful for organizations and individual users to save costs by leasing compute resources that they need.This has led to an exponential growth in cloud computing based research and development.A substantial number of frameworks, approaches and techniques are being proposed to enhance various aspects of clouds, and add new features.One of the constant concerns in this scenario is creating a testbed that successfully reflects a real-world cloud datacenter.It is vital to simulate realistic, repeatable, standardized CPU and memory workloads to compare and evaluate the impact of the different approaches in a cloud environment.This paper introduces Cloudy, which is an open-source workload generator that can be used within cloud instances, Virtual Machines (VM), containers, or local hosts.Cloudy utilizes resource usage traces of machines from Google and Alibaba clusters to simulate up to 16000 different, real-world CPU and memory load patterns.The tool also provides a variety of machine metrics for each run, that can be used to evaluate and compare the performance of the VM, container or host.Additionally, it includes a webbased visualization component that offers a number of realtime statistics, as well as overall statistics of the workload such as seasonal trends, and autocorrelation.These statistics can be used to further analyze the real-world traces, and enhance the understanding of workloads in the cloud.
Application of Image Segmentation and Convolutional Neural Network in Classification Algorithms for Mammary X-ray Molybdenum Target Image

Breast cancer is the second leading cause of death in women worldwide and of the methods for the detection of breast cancer, Mammography is considered promising and effective. In order to improve the detection, the study explored automatic recognition of Mammary X-ray Molybdenum target images on the basis of the clustered distribution pleomorphic calcification images of Breast Imaging Reporting & Data System category 4 (BI-RADS 4) obtained from an open access database – Digital Database for Screening Mammography (DDSM). The region of interest (ROI) of molybdenum target images was firstly segmented into sub-images by coordinate matching technology, and then the sub-images were scanned row by row and subdivided into mini-images. Those mini-images containing lesions were thus screened out and used as the objects of neural network recognition. Pattern recognition was carried out via the classical convolutional neural networks such as VGGNet16, VGGNet11 and AlexNet, and the improved AlexNet network without LRN layer. The results showed that identification and subdivision of the ROIs together with the improved AlexNet network could significantly improve the performance of recognition. By comparison with other methods, the new methods developed herein could provide additional and useful information for clinical diagnosis, and lay a technical foundation for refining classification of BI-RADS4 images into sub-categories and furthering accurate diagnosis.
Classification of Dataset Using Deep Belief Networks Clustering Method

Dataset in large collection involves considerable handling in its analysis especially when it is being employed in classification problems that involve big data.Due to the technology development, the manner and approach in which this dataset is being manipulated for classification purposes differ not only in one respect but in many respects with different uncorrelated results which sometimes make prediction inaccurate.By definition, classification is the act of arranging objects into classes or categories of the same type; these objects can be huge or otherwise, and to manually classify them will be a herculean task.The basic reason for classification is to punctiliously predict the class for each case in the dataset using class label.Notable classification, clustering and regression methods are support vector machines, neural networks, random forest, k-nearest neighbor and decision trees.The conventional clustering method that is widely employed to classification problems cannot handle the weight associated problem which characterized the transmission of neurons from layer to layer within the network.Employed in this work for the classification and clustering resolution is deep belief networks clustering method.The neural network architecture and loss function popularly employ in deep learning are considered for transforming the input data to clustering-friendly feature representation.
IOT Based Atmosphere Monitoring of Confined Space

Infrastructural Development and urbanization has led to high living standards and luxurious lifestyles. Smart homes and workspaces with automated technologies are found in all urban areas. The key aspect with all the above noted points have also led to increase in population in urban areas as well as the dynamic degradation in air quality due to increased air pollution. There are many aspects that contribute to air pollution such as increased vehicular traffic density, excessive burning of garbage, industrial air pollution etc. This paper presents a novel approach to monitor air quality in confined spaces which can help to monitor the air quality as well as alert the users in case of LPG gas leakages. Another important parameter that affects the human health is the presence of dust which if exceeds above a certain level can cause repeated allergies and flu to people. The main aim of this proposed model is to monitor the air quality of any confined space from any part of the world with authentic access mechanism. It can be used in homes, offices, small scale industries to keep the health and safety of workers in mind. As this system is IOT enabled it helps to monitor the data and also analyze it graphically on Thingspeak platform
A modern textbook in line with the humanization of the educational process: the main emphasis

The article actualizes the problem of understanding humanitarian technologies and their role in school education and textbook creation. The purpose of the article is to analyze the possibilities of a modern textbook in the course of humanizing the educational process at the present stage of school education development. Didactic research in the field of textbook creation is analyzed, the humanistic direction of the educational process and the content of the school textbook are focused. The essence of the basic concepts is specified: «humanitarian education», «humanitarian knowledge», «humanitarian technologies», «pedagogical technologies of philological direction», «humanitarian culture», «humanitarian thinking». Some textbooks in Ukrainian literature for grades 10 and 11 are analyzed, some problems in their content that can be solved by other means are highlighted. The content of textbooks in Ukrainian literature for grades 10 and 11 was analyzed and recommendations were made for their optimization and updating. Important aspects are defined: optimization of the degree of moral and psychological load of works; constant updating of the content with modern works; reflection of gender currents in literature and others. The problems of the school textbook in the conditions of constant updating of the information environment are: ensuring the variability of the humanitarian component; integration of academic subjects (development of integrative forms of knowledge) and continuous updating of its content. The main orientations of the school textbook are defined: the orientation to universal values, the formation of the individual’s need to know the integrity of the world, the formation of worldview culture and behavioral principles, the foundations of humanistic social relations. Emphasis is placed on the importance of finding the optimal balance between socio-personality and operational-functional component in the study of humanities.
Mineralogical and petrographic characteristics of the Ugahan deposit

The article considers the mineralogical-petrographic and geochemical characteristics of the Ugahan gold ore deposit with the aim of creating a scheme of the mineralogical associations’ formation that is inscribed in the general geodynamic evolution of the Bodaibo region. The study has been carried out on the copyright material obtained in the research area during the fieldwork. The mineralogical-petrographic and analytical work has been carried out at the Research Sharing Center “Isotope-geochemical studies” of Vinogradov Institute of Geochemistry, the Siberian Branch of the Russian Academy of Sciences. The mineralogical and petrographic research has identified three generations of carbonate minerals, formed at different times and associated with different stages of the field formation. Within the deposit, the development of the regenerative quartz aggregates is widely observed. The phenomenon is especially widespread in the upper members of the Buzhuikhta formation that are composed of quartz sandstones. The development of the mineral associations in the deposit took place in the following order. At the early low-temperature stage, the framboid and small idiomorphic pyrite were formed (I and II). Later, the high-temperature minerals association developed, that included arsenopyrite, pyrrhotite, pyrite-III, native gold, galena, sphalerite, and gray copper ores. At the post-ore stage, the pyrite-IV crystallization in a quartz-carbonate rim occurred. A similar sequence of mineral association formation is observed at the Krasny and Sukhoy Log deposits, which suggests that the formation of ore mineralization of the Sukhoy Log type deposits is a result of similar ore-forming processes. The confinement of the Ugahan deposit to the Buzhuikhta formation allows us to consider this stratigraphic unit as promising in terms of further exploration for gold deposits. The content of arsenic (as the main gold-accompanying element in the Bodaibo region) in the deposits of the Buzhuikhta formation is an order of magnitude lower, which suggests that it should be excluded from the search characteristics within the boundaries of this stratigraphic level.
Formation of entrepreneurial corporate culture in the russian universities

Dynamic changes in the economic and social life of our country necessitate corresponding changes in the approaches to managing a modern University. One of these changes should be a new look at its corporate culture. The essence of the author's approach is to consider corporate culture as a key marketing asset of the University that impact on the strategic vision for the organization and operational management of all activities and units of the University. At the same time, the culture should be entrepreneurial in nature, which determines the University's ability to innovatively solve the tasks it faces and more successfully achieve the organization's strategic goals. However, still there is no scientific consensus reached in the literature about its features and the role in the success of the university. The purpose of this article is to substantiate the relevance of the formation of entrepreneurial corporate culture in the Russian universities. At the same time, it is proposed to consider entrepreneurial corporate culture as a key marketing asset of the organization, which is sure to reduce the negative effect of external environment and more successfully achieve the strategic goals of the university. The article presents the algorithm, mechanisms, and the main tools for the formation of entrepreneurial culture, given the specifics of this asset for an educational organization and the existing external environment. Theoretical significance of the proposed approach is a balanced approach to the university management, optimally combining conventional and unconventional for the educational environment methods to manage an educational organization. The practical significance of the study lies in the possibility of using the proposed methodology for the formation of entrepreneurial culture to improve the efficiency of the university management.
Analisis kebutuhan pemustaka pada kegiatan layanan pengembangan koleksi buku Perpustakaan IAIN Batusangkar

This study analyzes the needs of users' collections through the development of collections conducted by the Batusangkar IAIN library. This research is a case study conducted using the description method that illustrates the implementation and obstacles faced by the library, there is a collection development analysis activity according to user needs. the benchmarks in this research are study materials or strategies that will be applied for the future by improving the present situation. This study provides findings that activities and evaluations must be carried out on all planning processes with in-depth analysis of the needs of the visitors. This situation causes the librarians to be confused to develop a collection of books so that they cannot determine the type of collection that is needed by the user. More in-depth analysis activities by auditing information and interviews with users are needed for library development.
Topic modelling applied to a second language: A language adaptation and tool evaluation study

The Topics2Themes tool, which enables text analysis on the output of topic modelling, was originally developed for the English language.In this study, we explored and evaluated adaptations required for applying the tool to Japanese texts.That is, we adapted Topics2Themes to a language that is very different from the one for which the tool was originally developed.To apply Topics2Themes to Japanese texts, in which white space is not used for indicating word boundaries, the texts had to be pre-tokenised and white space inserted to indicate a token segmentation.Topics2Themes was also extended by the addition of word translations and phonetic readings to support users who are second-language speakers of Japanese.To evaluate the adaptation to a second language, as well as the reading support, we applied the tool to a corpus consisting of short Japanese texts.Twelve different topics were automatically identified, and a total of 183 texts representative for the twelve topics were extracted.A learner of Japanese carried out a manual analysis of these representative texts, and identified 35 reoccurring, fine-grained themes.
Forming of Information Competence as a Precondition of Academic Integrity: the Role of the Library of Higher Education Institution

The article analyzes the interdependence between the formation of students’ information competence and the enhancement of the culture of academic integrity in the educational environment. It is important to form students’ information competence not only for education but also for professional formation, self-improvement and solving of life problems in the personal sphere has been actualized. The changeability and dynamism of the information technology world, the rigorous demands of the labor market and the expectations of employers dictate the need to master by future specialists with universal knowledge, skills, personal qualities, such as professional mobility, adaptability, ability to quickly acquire new knowledge, certain orientation in the web environment and information space, which implies complex formation of information competence. The consequences of underestimating the formation of students’ information culture at the national level (for education and scientific communication in particular, and for the successful formation of the information society in general) are emphasized. The need to introduce an information culture integrated with the basics of academic writing into educational process as a compulsory discipline is underlined. The factors of promoting the formation of a moral educational environment and the rooting in it of the basic values of academic integrity are analyzed. The necessity of shifting the emphasis from the fight against plagiarism in student works to developing measures to prevent this phenomenon and enhance the information and academic culture of students is substantiated. The role and opportunities of the higher education institution’s library in creating an information space in which adherence to standards of academic integrity is undeniable value are shown. The newest interactive forms of library work and ways of presenting educational content taking into account the features of “clip-thinking” of the modern generation, such as gamification, simulation and interactive games, web quests, video lectures and more are considered.
Practices of Informal Education as a Resource for Self-Realization of Self-Referential Identities in a Pandemic and Post-Pandemic Period

The article presents the authors' view of informal education, which, being free from mandatory regulations and standardizations, implemented on the principles of voluntariness and initiative, in this context, is the place most likely to respond to societal demands in a pandemic.On the basis of the scientific literature analysis the essential features of informal education (attribution to human life, natural and necessary character, self-organization, continuity) have been revealed.It is noted that in the practice of informal education, discursive self-referential identity acts as a system that distinguishes and describes itself in practice, and in this self-description reveals their meaning.The informal education is seen as a form of social practice that plays a key role in self-development of the individual, in preserving individuality and internal independence from one's culture; as an element of a coherent continuous education system with an intrinsically complex structure.The conclusion is made about the resourcefulness of information education as a practice that triggers educational motivation, the growth of human potential.In the context of a pandemic and post-pandemic, informal education practices act as a means of mobile satisfaction of educational needs, allowing for the modernization of the education system to selfreferential identity.
Transition-Entropy: A Novel Metric for Privacy Preservation in Location-Based Services

The advent of location-based services has created the need for preserving the location privacy of users. An adversary such as an untrusted location-based server can monitor the queried locations by a user to infer sensitive information such as the user’s home address, health conditions, shopping habits, etc. To address this issue, dummy-based algorithms have been developed to increase the anonymity of users, and thus, protecting their privacy. Unfortunately, the existing algorithms only consider a limited amount of side information known by the adversary whereas they may face more serious challenges in practice. In this paper, we consider a new type of side information based on consecutive location changes of users, and propose a new metric called transition-entropy to investigate the location privacy preservation. Furthermore, we develop a greedy algorithm to significantly improve the transition-entropy performance for a given dummy generation algorithm. Via experiments conducted on a real-life dataset, we evaluate the performance of the proposed metric and algorithm.
Pelatihan Desain Grafis Untuk Meningkatkan Kreatifitas Siswa

The development of technological advances now requires the participation of schools in planning technological advances today, and there are positive and negative problems that perceived as one of the negative impacts of technology that felt today using social media that is not good and is misused by students. For this reason, Graphic students need to guided to use the time to increase their creativity so that students can produce more useful work. This service is done by directed/guided demonstration by the speaker and practised directly by the participants. After the training conducted, it can increase students' understanding by 63.73%, and students, express their creative ideas in the form of book covers and business cards