Reviewerly/exHarmony huggingface dataset:
Research of the market of educational services when forming programs &#x0D; for strategic development of regional universities

At a new stage in the development of the Russian higher education system, missions are being adjusted, strategies and programs for the development of universities are being developed in accordance with global trends in the development of higher education and the challenges facing the country and regions. Amodern university plays an important role in ensuring the socio-economic development of the country and the region, participates in the implementation of national, federal and regional projects, strategic development programs. The basis of university development programs is the provision of training for the priority areas of scientific and technological development of the Russian Federation, sectors of the economy and the social sphere, the development and implementation of breakthrough scientific research and development, new creative and social and humanitarian projects, as well as their implementation in the economy and social sphere of high technologies. Important aspects of strategic planning of the university are the analysis of trends and challenges in the higher education system in Russia, as well as the study of the educational services market in the region. The paper analyzes the structure and dynamics of development of the national and regional (using the example of the Samara Region) higher educational systems in Russia, identifies general patterns and tendencies, identifies the directions of development of regional universities.
Um aplicativo para gerenciamento de aspectos da qualidade do ambiente urbano.

This work presents an Android application intended to provide support to public authoritiesand the population in the process of detecting and solving urban problems in the cityof Joao Monlevade-MG. The aim of the work is to allow inhabitants to denounce theurban problems encountered and that these denunciations actually reach the knowledgeof the responsible bodies. The application has two modes of operation, one for the useof inhabitants, and the other for people connected to the responsible bodies. From thisit is sought to obtain a better communication between both through smartphones, in asimple, efficient and low cost way. In addition, a database was used to provide a fast flowof data between client / server. It can be concluded that a satisfactory result was obtainedshowing that the system can be implemented immediately, helping to locate problemspresent in the city.
Handwritten numeral recognition utilizing optoelectronic reservoir computing with double reservoir layers

Optoelectronic reservoir computing (RC) is a supervised training algorithm implanted in an optoelectronic time-delay system, which possesses simple structure and can be utilized to realize pattern recognition. In this work, based on double reservoir layers composed of two Mach-Zehnder modulators (MZMs), a novel optoelectronic RC system is proposed and the system performances for processing handwritten numeral recognition (HNR) are analyzed. For such a system, a masked handwritten numeral information is injected into the first reservoir layer, the different value between two adjacent node states of the first reservoir layer is sent to the second reservoir layer, and the virtual node states of the second reservoir layer are extracted for training and testing. The simulated results show that, by optimizing the system parameters, a word error rate (WER) of 0.11 for processing HNR can be achieved. By comparing with an optoelectronic RC with a single reservoir layer, the optoelectronic RC with two reservoir layers possesses better performances for processing HNR.
LibGuides: Reference Training: Tiered Reference: 2. Library Toolkit and Badge

This guide will help train Library Assistants to respond to basic reference questions, record/track responses and introduce the libchat tool.
Enhanced Face Detection Based on Haar-Like and MB-LBP Features

The effective real-time face detection framework proposed by Viola and Jones gained much popularity due its computational efficiency and its simplicity. A notable variant replaces the original Haar-like features with MBLBP (Multi-Block Local Binary Pattern) which are defined by the local binary pattern operator, both detector types are integrated into the OpenCV library. However, each descriptor and its evaluation method has its own set of strengths and setbacks. In this paper, an enhanced two-layer face detector composed of both Haar-like and MB-LBP features is presented. Haar-like features are employed as a coarse filter but with a new evaluation involving dual threshold. The already established MB-LBPs are arranged as the fine filter of the detector. The Gentle AdaBoost learning algorithm is deployed for the training of the proposed detector to reach the classification and performance potential. Experiments show that in the early stages of classification, Haar features with dual threshold are more discriminative than MB-LBP and original Haarlike features with respect to number of features required and computation. Benchmarking the proposed detector demonstrate overall 12% higher detection rate at 17% false alarm over using MB-LBP features singly while performing with ×3 speedup.
Communicating Fundamental Units and Scientific Information

We’ve already demonstrated several examples of how mutually observable objects can be used to explain how information is encoded, as in the example of images. We can use this approach to leverage a shared understanding of natural processes and define basic units of measure for time, distance, mass, and other physical phenomena and to do so with a high level of precision.
A novel differential evolution algorithm for economic power dispatch problem

In power systems, Economic Power dispatch Problem (EPP) is an influential optimization problem which is a highly non-convex and non-linear optimization problem. In the current study, a novel version of Differential Evolution (NDE) is used to solve this particular problem. NDE algorithm enhances local and global search capability along with efficient utilization of time and space by making use of two elite features: selfadaptive control parameter and single population structure. The combined effect of these concepts improves the performance of Differential Evolution (DE) without compromising on quality of the solution and balances the exploitation and exploration capabilities of DE. The efficiency of NDE is validated by evaluating on three benchmark cases of the power system problem having constraints such as power balance and power generation along with nonsmooth cost function and is compared with other optimization algorithms. The Numerical outcomes uncovered that NDE performed well for all the benchmark cases and maintained a trade-off between convergence rate and efficiency.
Hybrid Multi-Population and Adaptive Search Range Strategy With Particle Swarm Optimization for Multimodal Optimization

This paper proposes an algorithm named hybrid multi-population and adaptive search range strategy with particle swarm optimization (ARPSO) for solving multimodal optimization problems. The main idea of the algorithm is to divide the global search space into multiple sub-populations searching in parallel and independently. For diversity increasing, each sub-population will continuously change the search area adaptively according to whether there are local optimal solutions in its search space and the position of the global optimal solution, and in each iteration, the optimal solution in this area will be reserved. For the purpose of accelerating convergence, at the global and local levels, when the global optimal solution or local optimal solution is found, the global search space and local search space will shrink toward the optimal solution. Experiments show that ARPSO has unique advantages for solving multi-dimensional problems, especially problems with only one global optimal solution but multiple local optimal solutions.
The recognition of structures in SAR imagery by the use of a spatial reasoning method

ASBTARCTStructures with energy supply capacity are an important part of lifeline engineering. Post-disaster assessment is therefore vital to assess the economic losses caused by the collapse of such structures and is an integral part of the overall post-disaster assessment. The identification of structures in synthetic aperture radar (SAR) imagery is mostly influenced by buildings, exposed rocks and riverbeds, because of the similar scattering intensity effects. In this letter, a new spatial reasoning method is proposed based on spatial and morphological feature parameters to identify isolated structures with an ordered distribution in SAR imagery. The wind power generation base in the north-western part of the city of Yumen, Gansu province, China, is taken as the research area. Numerous wind power generation facilities, which are important power sources in north-western China, are found in this area. The recognition accuracy of the proposed method for structures in this area is 98.31%. Compared with the traditional method, the recognition rate for structures is improved by 35.59%. The ‘distance deviation risk’ evaluation index is also proposed to evaluate the deviation between the recognition results and the actual ground objects. Overall, the proposed method can more accurately identify the structures in SAR imagery.
EXPRESSIVE ADAPTATION IN LOCALIZATION OF ENGLISH E-COMMERCE APPLICATION’S ACCOUNT PAGE INTO BAHASA INDONESIA

This is a research on how expressive adaptation, the level of expressive adaptation, and the sentence type of expressive adaptation in the localization of e -commerce application’s account page. The method used in this study is qualitative method. This study aims to describe the expressive adaptation, the level of expressive adaptation, and the sentence type of expressive adaptation in the localization of e -commerce application’s account page. The result shows that the expressive adaptation composes 38% of all localization, the level of expressive adaptation is mostly in the level of word, and the sentence type of expressive adaptation is mostly in imperative sentence.
Analisis Potensi Banjir Berbasis Metode AHP Daerah Mundam Sakti dan Sekitarnya, Kabupaten Sijunjung, Sumatera Barat

This research is conducted in Mundam Sakti, Sijunjung regency, West Sumatera province. The aim of this research is to know the extended value of flooding hazard’s level. Since the research area has evergone the flooded disaster which causing the settlement and land destruction as the sources of livelihood makes the people facing many difficulties. Analytical Hierarchy Process (AHP) Method used in selecting and weighing with the in pairs comparison and continued with the process of Geography Information System (GIS) to produce the map of flooded potential. In this research, there are several parameters which are being used, such as elevation, slope, land use, and river distance. The area with highest value between 3,94 - 4,8 were categorized with the area of “Very High” potential. The flooded area commonly located in the edge near the river, because of its location of near the source of water overflow and also dominated by the lower elevation. By having this flooded potential map, hopefully the local people can anticipate it to avoid the flooded disaster in the future.
THE EFFECT OF GIVING EXPLANATION WITH CARD MEDIA MAKE A MATCH METHOD TO THE INCREASE OF ANEMIA PREVENTION BEHAVIOR AT 4th GRADE STUDENTS OF ELEMENTARY SCHOOL IN TANJUNG MORAWA SUB DISTRICT

Primary school children are the next generation of the nation, to support learning activities in schools, good nutrition is needed. Unmet protein and Fe intake will affect the incidence of anemia in students which has an impact on learning achievement.The purpose of this study was to determine the effect of make a match learning on increasing the knowledge of anemia prevention of fourth grade school children at Elementary Schools in Tanjung Morawa sub district. The type of this study was quasi-experiment, using a non-randomized design with two groups pre-test and post-test in the intervention and control groups with 89 students each.This study was to determine the effect of giving Make a Match learning interventions to increase knowledge of anemia prevention in grade IV elementary school children in Tanjung Morawa Subdistrict. This study used the Independent T-Test p≤0.05. Statistical results showed that there was a significant difference in the average score of increasing knowledge and attitude of the group of children who received counseling on anemia prevention using Make A Match on increasing knowledge of anemia prevention in Grade IV schoolchildren in elementary schools inTanjung Morawa sub-district p<0.05. There is an effect of Make A Match counseling on increasing knowledge and attitudes to prevent anemia in fourth grade school children at Elementary Schools in Tanjung Morawa District.
HANDWRITTEN OFFLINE SIGNATURE VERIFICATION AND FORGERY DETECTION

Handwritten signatures are very useful in many applications. Such as in the field of bank-cheque processing, document authentication, ATM access, etc. Simultaneous signature verification and forgery detection are also important to avoid misuse and prove the identity of the person signing the document. In this paper, we discuss how the problem has been tackled over the past few decades and analysing the latest progress in this field.
Jensen-Shannon Divergence for Smart Buildings’ Fuzzy Topological Networks Similarity Analytics

The real-time availability of data from data servers, often also provided by sensors and measuring devices, as well as the dynamics of phenomena involving complex systems, raise new challenges for researchers. New practices are needed to evaluate and analyze the networks’ structures of underlying structural modeling of their dynamics. In this work, we propose a similarity based on information theory defined on a set of fuzzy graphs so that comparisons can be made. We introduce the Jensen-Shannon divergence measure to compare fuzzy networks. In our approach, this measure is based on fuzzy local probabilities and incorporates networks’ topological characteristics. This approach consists in building a comparison measure using a fuzzy probability distribution as an invariant. This invariant mitigates encoding problems, and the comparison measurement focuses entirely on networks’ topology. In this work, the proposed method is deployed for fuzzy topological navigation networks with energy dissipation in smart building spaces. The proposed modeling of navigation networks in intelligent buildings can be integrated into the OGC IndoorGML standard. It can also still be used for other types of networks.
Πολυπαραγοντική ανάλυση της ακαδημαϊκής γραφής σπουδαστών της μουσουλμανικής μειονότητας της Θράκης

This study draws on a multidimensional analysis of academic writing in Modern Greek as a second language. It examines (a) lexicogrammatical and discourse measures, and (b) deviations from the academic register as predictors of writing quality in 100 persuasive essays produced by adult Turkish- and Pomak-speaking students in Thrace. The research proceeded in 4 steps: (1) assessment of writing quality, (2) digitalization, (3) data analysis in terms of linguistic measures and errors, and (4) statistics. The regression models constructed revealed that after controlling for length, grammatical complexity, deviations in microlinguistic level, discourse markers and textual deviations share an almost equal contribution in predicting writing quality.
Use of Blockchain Technology to Fight Trade in Counterfeit Goods

Product piracy, which remains a major problem in world trade, affects every actor in the supply chain. In order to combat product piracy, legal and administrative measures are taken as well as measures from production to sale, while product identification and tracking play an important role. Labeling technologies such as RFID / NFC tags and QR codes are often used for this. However, data stored in RFID / NFC tags and QR codes can be manipulated. This weakness of the technologies mentioned could be remedied with blockchain technology. Based on this idea, this thesis examines which solutions can support the features of blockchain technology in the fight against piracy. In the first part of this work the reader is given a certain framework for product piracy, in the second part current measures of manufacturers against product piracy are explained. The third chapter explains the basic functions of blockchain technology. The last part describes different usage scenarios of blockchain technology to prevent product piracy. By comparing these scenarios, common and different characteristics of blockchain projects are identified.
DEVELOPING ENVIRONMENT BASED PICTURIAL STORYBOOK MEDIA FOR GRADE IV STUDENTS OF SDN 013 KARIMUN

This study aimed to see the feasibility of the product developed in the form of an environmental-based picture storybook for grade four students. The subjects in this study were ten students at grade V. The type of research was research and development which was modified into seven steps, namely: (1) Data collection/planning (2) Product design (3) Product design validation (4) Product revision (5) Teacher response (6 ) Field trial (7) Data analysis. The instruments in this study were interviews with teachers and questionnaires given to design experts, material experts, homeroom teachers for grade IV and ten grade four students. The results of this study consisted of (1) Validation by design experts obtained a score of 4.22 in the "Very feasible" category (2) Validation by material experts obtained a score of 4.50 in the "Very feasible" category (3) Validation by homeroom teachers for grade four obtained a score of 4.94 categories “Very decent” (4) Validation by Grade V elementary school students scored 4.33 in the “Very decent” category. From the data obtained, this study concluded that the environmental-based picture storybook media product for grade four students at SDN 013 Karimun with an average score of 4.50 in the "Very feasible" category could be an alternative teaching material at schools.
Chapter 6. Modeling and Visualizing Storylines of Historical Interactions. Kubler’s Shape of Time and Rembrandt’s Night Watch

The growth and population of the Semantic Web, especially the Linked Open Data (LOD) Cloud, has brought to the fore the challenges of ordering knowledge for data mining on an unprecedented scale. The LOD Cloud is structured from billions of elements of knowledge and pointers to knowledge organization systems (KOSs) such as ontologies, taxonomies, typologies, thesauri, etc. The variant and heterogeneous knowledge areas that comprise the social sciences and humanities (SSH), including cultural heritage applications are bringing multi-dimensional richness to the LOD Cloud. Each such application arrives with its own challenges regarding KOSs in the Cloud. With contributions by Sören Auer, Gerard Coen, Kathleen Gregory, Mohamad Yaser Jaradeh, Daniel Martínez Ávila, Philipp Mayr, Allard Oelen, Cristina Pattuelli, Tobias Renwick, Andrea Scharnhorst, Ronald Siebes, Aida Slavic, Richard P Smiraglia, Markus Stocker, Rick Szostak, Marnix van Berchum, Charles van den Heuvel, J. Bradford Young, Veruska Zamborlini and Marcia Zeng.
An Innovative Practice for Interactive learning process during COVID-19

There is no doubt that online learning and the development of online courses is proliferating.The convenience of working online has proven to be very attractive to students and instructors alike.Despite its popularity, online learning is not without its challenges.As instructors are finding their way in the online environment and paying more attention to good course design and delivery, they are discovering that traditional forms of assessment of student work such as tests and quizzes that served them well in the face to face classroom may not work quite as well online.Milam, Voorhees, and Bedard -Voorhees ( 2004) note, "The online paradigm holds that learning itself may be different in the online environment and, if that is true, then the methodology for measuring it should also be different or should measure those things that are, in fact, different" effective assessment has come increased concern about academic honesty, raising questions like these:• How do I, as the instructor, know that students really understand and can apply the material I' m teaching if I can' t sees them?• How can I ensure that students won' t cheat on exams or other assessments in my online course?In these fields, assessment criteria cannot be too precise or rigid, as building arguments that provide new insights is the benchmark of good performance.Jones, Voorhees, and Paulson (2002) define competencies as "the combination of skills, abilities, and knowledge needed to perform a specific task".Competencies support the dynamic link between knowing and expressing.Once competencies are established, the next level of focus should be the development of course outcomes.Course outcomes are important in that they help students learn more effectively and make it clear what students can expect to gain from taking the course.Collaborative effort helps learners achieve a deeper level of knowledge generation while moving from independence to interdependence, thus strengthening the foundation of an online learning community, which we believe is the vehicle through which the course should be delivered.By learning together in a learning community, students have the opportunity to extend and deepen their learning experience, test out new ideas by sharing them with a supportive group, and receive critical and constructive feedback.The Teacher Accurately Demonstrates Knowledge of the Content Area and Approved Curriculum.
SIPRANTA : Aplikasi Sistem Informasi Posyandu untukPertumbuhan dan Perkembangan Balita

Posyandu is a form of Community Based Health Efforts (UKBM) carried out by, from and with the community, to empower and provide facilities for the community to obtain health services for mothers, babies and toddlers. Activities carried out at Posyandu require a Posyandu Information System (SIP), some of which include data collection on babies and toddlers in the posyandu area, records of date and status of immunization, as well as data records within the posyandu scope and monthly activity reports. However, data collection and recording of these activities is still done manually using books / papers. This is of course less effective and efficient, because of the large amount of data that needs to be recorded, moreover there is the possibility of data collection errors and the documents being lost or damaged. Therefore, an Android-based application was created to collect data and record it so that it could increase the effectiveness and efficiency of Posyandu performance. Keywords – information system, Posyandu, toddlers, Android