Reviewerly/exHarmony huggingface dataset:
Using Free and Open Source Tools in Smart Solution Development for the Agriculture Sector in Oman

Technology is providing support to almost all the sectors around the world. The agriculture sector is also getting greatly benefitted with the advancements in technology. Automation has always been an issue with the various organizations associated with the agriculture sector. But, various organizations have now already started making use of smart technology in order to automate for faster delivery and more accurate results. This research paper also focuses on one such issue related to one of the agriculture based organizations in the Sultanate of Oman. With the advent of some free and open source tools such as LiveCode Community Edition, the development of such a solution has become much easier. The aim of this research is to provide an electronic channel for the user to receive various information and product updates. In order to make sure about the necessity of such system development, the researchers have conducted surveys and interviews among various people. The analysis held that such solution in the agriculture industry can make the operations highly fast along with transactions. Further, the usage of free and open source tools to develop such a solution could be very beneficial to the end users as well as the organizations. Researchers have suggested a methodology that suits the nature of research and the research requirements.
Exploring Mapping and Avoidance Simulation for Mobile Robot

The use of mobile robot simulation is widely seen in various purpose.The navigation of the mobile robot is important to make the simulation process success.Simultaneous Localization and Mapping (SLAM) is one of the important features in a mobile robot navigation to enable an autonomous robot to map its surrounding and localize itself in real time.This paper presents a simulation study that investigates the algorithms that could be used in localization and mapping processes based on Karto and GMapping SLAM algorithms.The algorithms were tested on Robot Operating System (ROS) simulation in Linux environment.Experimental results from the Karto SLAM algorithm showed that the map produced is more precise and reliable for localization compared to its counterpart.In addition, the notification of distance is provided to give information on obstacle.Our results showed that Karto SLAM algorithm produced a better position estimation and can determine the direction of where the mobile robot is moving autonomously without colliding in any collision.Further studies on other SLAM algorithms could be done to generate more accurate results to localize the autonomous vehicle.
Proposing an Elliptic Curve Cryptosystem with The Symmetric Key for Vietnamese Text Encryption and Decryption

The article describes the basic idea of Elliptic curve cryptography (ECC).Elliptic curve arithmetic can be used to develop Elliptic curve coding schemes, including key exchange, encryption, and digital signature.The main attraction of Elliptic curve cryptography compared to RSA is that it provides equivalent security for a smaller key size, which reduces processing costs.To encode the Vietnamese text, we are based on the sound of Vietnamese characters to make a table of these characters' order.We are also based on the algorithm to create the data sequence as the basis of building an encryption algorithm by using Elliptic curves on finite fields with symmetric keys to encrypt this Vietnamese text.
EMPIRICAL INDICATORS OF TEACHERS’ PROFESSIONAL SELF-FULFILLMENT

The article determines the empirical indicators of teachers' professional fulfilment, analyses characteristics and peculiarities of professional activities related to professional fulfilment. The study sample included 306 teachers of secondary schools, gymnasiums and lyceums. The research method was the questionnaire determining professional self-actualization, which contained 5 scales in an adapted version: professional self- fulfilment; satisfaction with professional development and activities; attitude to innovation, a new, creative approach to work; professional autonomy; organizational (educational institution) resources for self-realization. The study results has showed that, on the whole, teachers’ professional self-fulfilment, their satisfaction with professional development and professional work, attitudes towards innovation in their work and professional autonomy are at approximately the same level - above average. The least resourceful were the opportunities and conditions for professional self-fulfilment. As for teacher’s professional self-fulfilment, it is most important for them to achieve high results in their work and be aware of their professional goals and objectives. Such characteristics as autonomy in professional work, their attitude to innovations, professional satisfaction, and resources of their educational institution also were significant and influenced professional self-fulfilment. Teachers’ autonomy in their professional work was fairly high, it was ensured mainly by the independent solution of work tasks and sufficient amount of free time. Attitudes towards innovations and creative approach to work were fairly high also, especially for such indicators as interest in new approaches and their use in work, as well as the need for new knowledge, which contributed to the continuous expansion of ideas about the profession thanks to new knowledge. Teachers' satisfaction with their professional work was also above average and supported, first of all, by their beliefs in the importance of the teacher's profession. The assessment of the educational institution resources (capabilities) for self-fulfilment was rated the lowest among all studied indicators, however, it was still above the average. All the indicators have significant correlations: innovation, job satisfaction, professional autonomy, educational institution resources – these are conditions for a teacher’s professional growth, which together support professional self-fulfilment and the achievement of high professionalism. &nbsp
A PSYCHOLOGICAL DEVELOPMENTAL INTERACTION DURING EDUCATION AND ITS CONCEPTUAL BASES

The article substantiates theoretically and methodologically the conceptual foundations of psychological developing interactions between participants of the educational process at higher school. The authors, within the life-cultural paradigm characterizing the normative worldview and socio-psychological contexts of specific-research work organization, reveal the main issues of psychological-developing interactions at education with the following structurally logical sequence: “a modularly developing learning system as an innovative psychological-social technology for national education humanization - developing interactions as a parity educational activity - classes of socio-psychological impact (cognitive-subjective influence, normative-personal mutual influence, value-individual self-influence, spiritual-universal self-creation) - varieties of the developing interaction content (psychological-pedagogical, educational- subject, methodological, instrumental, managerial- technological) - styles of educational interactions (facilitation, moderation, inhibition) – psychological didactical tools for educational interactions - psychological-art techniques for interpersonal interactions”. The authors defend the thesis that the most promising technology for national education humanization is a developing learning system with modules, based conceptually on the problem-dialogic form of equal relationship between lecturers and their students. In these circumstances, the central link of the innovative educational process is not so much the training content but continuous developing interactions between lecturers and their students and the new educational ethics - parity educational co-activities. Thus, the professional work of all educational participants is provided by taking into account the psychological-pedagogical content of the various stages of a holistic modular development cycle; relevant interpersonal relationships are filled with life-cultural content; and learning stipulates creative searches, rule-making, mental modeling of life situations, moral choice strategies, reasoned defended of one’s own position, one’s own ideals and values. These developing interactions is oriented towards the parity cultural-creative work of lecturers and their students, when subjective, personal, individualistic and universal activities prevail alternately to establish equal partnership relations with open developmental dialogues as their essential characteristic. Such&nbsp; dialogues play an important role for the formation of educational multi-motivation, thus students’ desires and motivational aspects are regulated and their internal desire to acquire, rethink, enrich and disseminate the best ethnic-national experience, to self-improvement and positive self-concept development&nbsp; is awakened. &nbsp
QoS-aware simulation job scheduling algorithm in virtualized cloud environment

Cloud computing is attracting an increasing number of simulation applications running in the virtualized cloud data center. These applications are submitted to the cloud in the form of simulation jobs. Meanwhile, the management and scheduling of simulation jobs are playing an essential role to offer efficient and high productivity computational service. In this paper, we design a management and scheduling service framework for simulation jobs in two-tier virtualization-based private cloud data center, named simulation execution as a service (SimEaaS). It aims at releasing users from complex simulation running settings, while guaranteeing the QoS requirements adaptively. Furthermore, a novel job scheduling algorithm named adaptive deadline-aware job size adjustment (ADaSA) algorithm is designed to realize high job responsiveness under QoS requirement for SimEaaS. ADaSA tries to make full use of the idle fragmentation resources by tuning the number of requested processes of submitted jobs in the queue adaptively, while guaranteeing that jobs’ deadline requirements are not violated. Extensive experiments with trace-driven simulation are conducted to evaluate the performance of our ADaSA. The results show that ADaSA outperforms both cloud-based job scheduling algorithm KCEASY and traditional EASY in terms of response time (up to 90%) and bounded slow down (up to 95%), while obtains approximately equivalent deadline-missed rate. ADaSA also outperforms two representative moldable scheduling algorithms in terms of deadline-missed rate (up to 60%).
ASPIRASI PENGAMEN USIA SEKOLAH TENTANG PENDIDIKAN DAN PEKERJAAN

Due to the writer’s thoughtfulness and according to many case studies on school age children, when these kids are supposed to go to school, they go to work. Hence, the writer is interested to conduct this research. The aim of this study is to acknowledge the perception, expectation, and efforts of school age street singers on pursuing education in Kelurahan Kebun Keling, District of Teluk Segara, City of Bengkulu. Using qualitative approach, this study was purposefully utilized case study method. Participants consisted from 6 school age street singers; two of them are in elementary school level, two of them are in junior high school level, and the rest are in senior high school level. Data was obtained through depth interview, observation, and documentation techniques; in the end, there would be conclusion drawing. To validate the data, the writer uses triangulation method on subjects, techniques, and period. The result showed that the school age street singers agree on the importance of pursuing formal education. Their perception towards formal education is assuming that one should be easier to achieve their dream jobs through their knowledge gained from their previous education. In continuation, they expect to pursue higher education so that they could get a job effortlessly. However, they have not maximized their effort to pursue better education. These mainly occur because of financial and social factors. Key words: Perception, Expectation, Efforts, and Causal Factors
Information System Design COVID-19 with Prototype Model

Information System Design COVID-19 with Prototype Model
Indonesian smart schools: Their influence on the ability of information literacy on the biology field

Information literacy in the information society era is very important for every individual, especially for students to prevent misunderstandings and misconceptions. Digital-based learning can influence on students' information literacy abilities. The purpose of the study is to look at the effect of digital-based learning (Indonesian Smart Schools) on students' information literacy abilities. This research was conducted from February to June 2019, at SMA Negeri 2 Tasikmalaya. The research method was a true-experimental design with randomized pretest-posttest control group design. This study population was class X, amounting to 299 people, with cluster random sampling technique, the results were class X MIPA 1 (experimental) and X MIPA 5 (control). The information literacy research instrument uses a validated instrument from SAILSÂ® (30 items). Based on the ANCOVA analysis at the significance level (Î±) = 0.05 and based on the comparison of the values gain, it can be concluded that there was an effect of digital-based learning on students' information literacy abilities on Animalia material. Indonesian Smart Schools can be alternative digital learning to hone the ability of information literacy on Animalia material. Indonesian Smart Schools can be an alternative to digital learning to hone the ability of information literacy. Â
FOREIGN DIVERSIFICATION AND PERFORMANCE OF QUOTED DEPOSIT MONEY BANKS IN SELECTED SUB-SAHARA AFRICAN COUNTRIES

Foreign diversification offers prospective market opportunities which afford firms prospects for greater growth and penetration of global markets. This study investigated the effect of foreign diversification on performance of quoted deposit money banks in selected Sub-Sahara African countries; Botswana, Ghana, Kenya, Malawi, Mauritius, Namibia, Nigeria, South Africa, Uganda, Zimbabwe and Zambia. The study employs secondary data collected and computed from sampled deposit money banks annual audited financial statements. Employing the use of descriptive statistics, correlation analysis, panel unit root analysis, co-integration test, multivariate panel data analysis and the system- GMM for a period of 2007 – 2017, the data were estimated with the aid of Eviews 9.0 econometric statistical package. Using dependent variables (Net interest margin and Tobin Q), explanatory variables of foreign diversification, bank’s size and bank’s age respectively. The findings revealed that foreign diversifications have negative and significant effect on all the performance indicators (NIM and TOBIN Q) used in the study. The explanatory variable (foreign diversification) was significant at 1% significance level. The findings from robustness check showed that the coefficients of foreign diversification are also largely negative for most of the banks. This study therefore recommends, amongst others, banks should consider diversification as a long run strategy for promoting growth and other forms of expansions. This can be achieved by promoting more regional banking integration within the sub-region. Given that formalities are already on the ground to facilitate entry and establishment within economies in the regional blocs, diversification in this direction will involve less institutional obstacles
Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract)

We present improvements in maximum a-posteriori inference for Markov Logic, a widely used SRL formalism. Several approaches, including Cutting Plane Aggregation (CPA), perform inference through translation to Integer Linear Programs. Aggregation exploits context-specific symmetries independently of evidence and reduces the size of the program. We illustrate much more symmetries occurring in long ground clauses that are ignored by CPA and can be exploited by higher-order aggregations. We propose Full-Constraint-Aggregation, a superior algorithm to CPA which exploits the ignored symmetries via a lifted translation method and some constraint relaxations. RDBMS and heuristic techniques are involved to improve the overall performance. We introduce Xeggora as an evolutionary extension of RockIt, the query engine that uses CPA. Xeggora evaluation on real-world benchmarks shows progress in efficiency compared to RockIt especially for models with long formulas.
SOSIALISASI PENGENALAN HEWAN PENYU LAUT MELALUI PERMAINAN MENARIK BAGI ANAK SEKOLAH DASAR SDN ALUE PIET GAMPONG ALUE PIET

Conservation is one of the activity that hope to prevent the sea turtle are scarce, to prevent sea turtle utilization for commercial interest such as sold the eggs, flesh, as well as carapaces and become sharing knowledge facility or education for community widely regarding the importance of sea turtle conservation for keeping sea turtle habitat in Indonesia in order it is not scarce. The target of communities are elementary school student SDN Alue Piet. According to the interview that many student that inhabited in Panga Pasie Coastal area still feel strange with sea turtle. Among of them ever found it in the coastal area on the morning to feel fearness with this creature that appeared strange. Therefore, we conduct the community serving through the socialization of sea turtle introduction with interesting of media game. The community serving including surveying of elementary school that approach with nesting site, socialization of sea turtle introduction through video sea turtle animation, doing of Quiz, and undertaken arrangement of sea turtle puzzle picture. Overall activities of community serving undergone on time and obtained supporting from SDN Alue Piet organizer.
CLASSROOM MANAGEMENT OF READING INSTRUCTION AT SMP NEGERI 16 BANDA ACEH

The aims of this research are (1) to find out how the teachers prepares classroom management of reading instruction at the second year students of SMP Negeri 16 Banda Aceh, (2) to find out how classroom management of reading instruction is applied by teachers of SMP Negeri 16 Banda Aceh, and (3) to find out the effect of classroom management of reading instruction on the students’ ability of SMP Negeri 16 Banda Aceh in mastering reading comprehension. This study belongs to qualitative research because only describes the situation and condition of applying classroom management in reading instruction at the school. The subjects this study is two English teachers who teach at the school. The instruments that are used to collect data are observation, interview, and documentation. The data gotten is analyzed by narration procedure and discussed. The result of research shows that the teachers prepare classroom management of reading instruction by preparing lesson plan, materials, and conducive environment for instruction process. Furthermore, the teachers usually apply cooperative learning “The Students Team Achievement Divisions (STAD)” technique in applying classroom management in reading instruction. In addition, using various methods or techniques aim to make the students not bored. The classroom management of reading instruction that the teachers apply is in effective category because it has a good impact on the eighth grade students’ ability in mastering reading comprehension. It is proved the students’ reading ability is in good category (77.31).Key Words: Classroom Management, Reading Instruction
Voice and Communication Support for Your LGBTQIA+ Students

As speech-language pathologists, our work must do no harm. The first line of defense against doing harm to a student who identifies as LGBTQIA+ is improving our competence for treating this population.
Predicting Plausible Human Purkinje Network Morphology from Simulations

The Purkinje network (PN) gains more clinically importance as it becomes target for pacing in rate control and defibrillation.However, our understanding of the PN morphology arises from animal experiments, which might not transfer to humans.Therefore, we propose an automated computer simulation predicting physiological PN morphologies depending on the heart shape.It starts by generating virtual heart shapes from a statistical shape atlas and generates virtual PNs on the endocardial surface.For the combined virtual models the eikonal equation is solved to estimate the local activation times throughout the myocardium, which then feed forward to an simulation of the 12-lead surface ECG.From the simulated ECG the QRS-complex is compared against a healthy standard QRS-complex ,which allows to estimate how physiological a PN morphology is.In our model, only bundle branch bifurcation points near the base or near the apex result in physiological QRS wave forms.For the right bundle, more physiological QRS waves can be obtained when the branching point is at the apex.Only a minor dependency of the ECG on the heart shape is found.However, a strong correlation between the bundle branch bifurcation points themselves is observed.
Unsupervised Person Re-identification by Combining Appearance Features with Spatial-temporal Features

Most of the existing person re-identification methods usually follow a supervised learning framework and train models based on a large number of labeled pedestrian images. However, directly deploying these trained models in real scenes will lead to poor performances, because the target domain data may be completely different from the training data, thus the model parameters cannot be well fitted. Furthermore, it is very time-consuming and impractical to label a large number of data. In order to solve these problems, we propose a simple and effective strategy for segmentation based on key parts aiming to obtain the discriminative appearance features. Simultaneously, we constructs a hybrid Gaussian model by calculating the time difference of pedestrian groups to acquire spatial-temporal features. Finally, a measure fusion model is used to combine the appearance measure matrix and spatial-temporal distance matrix, which greatly improves the performance of the unsupervised person re-identification. We conduct extensive experiments on the large-scale image datasets, including Market-1501 and DukeMTMC-reID. The experimental results demonstrate that our algorithm is superior to state-of-the-art unsupervised re-identification approaches.
MODERNIZATION OF EDUCATIONAL PROGRAMS THROUGH THE INTERDISCIPLINARY APPROACH

The article proves the importance of using an interdisciplinary approach as a tool for modernizing curricula.The influence of an interdisciplinary approach on the functioning of socio-economic systems in general is determined.A specific successful example of modernizinga curriculum through the application of an interdisciplinary approach is considered.
Best-first Enumeration Based on Bounding Conflicts, and its Application to Large-scale Hybrid Estimation (Extended Abstract)

State estimation methods based on hybrid discrete and continuous state models have emerged as a method of precisely computing belief states for real world systems, however they have difficulty scaling to systems with more than a handful of components. Classical, consistency based diagnosis methods scale to this level by combining best-first enumeration and conflict-directed search. While best-first methods have been developed for hybrid estimation, conflict-directed methods have thus far been elusive as conflicts summarize constraint violations, but probabilistic hybrid estimation is relatively unconstrained. In this paper we present an approach (A*BC) that unifies best-first enumeration and conflict-directed search in relatively unconstrained problems through the concept of "bounding" conflicts, an extension of conflicts that represent tighter bounds on the cost of regions of the search space. Experiments show that an A*BC powered state estimator produces estimates up to an order of magnitude faster than the current state of the art, particularly on large systems.