Reviewerly/exHarmony huggingface dataset:
Study on Kuwait Environmental Remediation Program (KERP): Remediation Demonstration Strategy

Kuwait's desert was heavily damaged by 798 detonated oil wells by Iraqi troops, covering 114 square kilometres. Crude oil flowed from the broken oil wells, generating lakes that contaminated more than 40 square kilometres of land.To prevent the spread of oil, wet and dry oil reservoirs were created in low-lying areas of the desert, and polluted soil piles were created during the recovery process. &nbsp;Contaminated land desert changed soil properties, destroying plants (e.g. biota) and animals, and penetrating deeper into the soil layers, posing a threat to valuable groundwater supplies. These oil lakes are generally made up of dry oil materials, although some features contain semi-liquid oil/sludgy material and are referred to as wet oil lakes. The UN Compensation Commission (UNCC), Kuwait National Focal Point (KNFP), and Kuwait Oil Company (KOC) collaborated on a project to repair approximately 26 million cubic metres of significantly oil-contaminated soils. Demonstration remediation technologies are being pursued as feasible options for developing appropriate action plans for reclaiming heavily contaminated land. The goal of this field demonstration research is to see if proven remediation technologies are viable, applicable, and effective in treating oil-contaminated soil.&nbsp; This project will be undertaken at a number of locations in the KOC's operational oil fields in South-East Kuwait (SEK) to correct three issues (i.e. wet, dry oil lakes and oil contaminated piles). A successful demonstration of remediation technology will serve as a critical metric for building soil remediation strategy plans for full-scale implementation in SEK and other eligible regions.
한국어 어휘 교육 재조명을 위한 한국어 어휘 연구의 주제별 분석

This study aims to review current research on Korean vocabulary and to synthesize the findings based on main points of vocabulary research. With this purpose, this study selected various articles from four major journals published in Korea. A total of 30 vocabulary-related articles in the journals published after 2000 were reviewed and analyzed in terms of the following three perspectives, teaching and learning; assessment and the relationship between other language skill. And this study show that the majority of the research has been conducted on vocabulary teaching and learning among these domains. There were conflicting results of the effects of using implicit and explicit approaches to vocabulary teaching and learning. There is also a dire need for teachers to develop students vocabulary learning strategies. Various factors affecting students'' vocabulary competence are examined for effective vocabulary teaching and learning. Considering the current trend of various views in language teaching more balanced vocabulary research in terms of topics should be conducted in the future. Several implications and applications are discussed based on the findings of the study. (Pusan National University)
Students Approach Towards Learning English Language in Junior Secondary Schools in Nsit Ubium Local Government Area

The study examined the students approach towards learning English language in junior secondary schools in Nsit Ubium Local Government Area. In order to carry out this study, two specified research objectives were drawn from which null hypotheses were formulated and used for the study. The research design for this study is an Expost Facto design. The population of the study consisted of all the senior secondary school II students in public secondary schools in Nsit Ubium Local Government Area of Akwa Ibom State in the 2019/2020 school year. Simple random sampling technique was used to select 630 respondents out of the population. The instrument used for data collection was questionnaire. The instrument was validated by research experts and English Language majors. Crombach Alpha reliability technique was used for testing the reliability of the instrument and reliability index of .72 was realized, hence the instrument was regard as being reliable. Data from 630 completed questionnaires was subjected to Independent t-test analysis. The findings showed and concluded that there is significant students approaches towards learning English language in junior secondary schools in Nsit Ubium Local Government Area is statistically significant. the study also recommended that teacher educators have a responsibility to produce for the nation very high quality teachers by admitting good candidates to their programmes, while the government and training institution must endeavor to provide the necessary facilities and environment conducive for the production of competent and conscientious teachers.
Adaptive Learning of Evolving Hyper Basis Function Neural Network

In the article architecture and learning method of the artificial evolving hyper basis neural network are proposed.The neural network under consideration tunes not only its synaptic weights, but automatically determines neurons number, coordinates of the kernel activation function centers and parameters of the receptive fields in online mode providing high speed data processing.
EFEKTIVITAS E-LEARNING PADLET DALAM PEMBELAJARAN MENULIS BAHASA JEPANG(Studi Eksperimen Pada Peserta Magang LPK JLMC Lembang)

This study aims to determine the level of effectiveness of the padlet in the learning process. Effectiveness is seen from the aspect of the mechanism of using padlets and student learning outcomes. The method used in this research is quantative method. The research design used in this study was true experimental design using experimental and control classes. Data collection was obtained through tests and questionnaires aimed at basic level apprentices at LPK JLMC West Java. Based on the results of the analysis, the t value is 2.09> 2.03 and the Sig. (2-tailed) of 0.044 <0.05, it can be concluded that there is a significant difference between the learning outcomes of the experimental class and the control class after treatment in the experimental class with padlet media in learning to write Japanese with the control class using conventional media. Based on the N-Gain score test, the average value for the experimental class was 0.69 which was categorized as quite effective. The results of the questionnaire showed that the use of padlets gave a positive response and was considered efficient. Efficiency can be seen in terms of the time to collect assignments and practice questions as well as the tidiness process in organizing the pile up of learner assignments. On the other hand, the technical constraints found were limited internet coverage and difficulty using several features in the application.
Learning discontinuous piecewise affine fitting functions using mixed integer programming over lattice

Piecewise affine functions are widely used to approximate nonlinear and discontinuous functions. However, most, if not all existing models, only deal with fitting a continuous function. In this paper, we investigate the problem of fitting a discontinuous piecewise affine function to a given function defined on an arbitrary subset of an integer lattice, where no restriction on the partition of the domain is enforced (i.e., its geometric shape can be nonconvex). This is useful for segmentation and denoising when the given function corresponds to a mapping from pixels of a bitmap image to their color depth values. We propose a novel Mixed Integer Program (MIP) formulation for the piecewise affine fitting problem, where binary edge variables determine the boundary between two partitions of the function domain. To obtain a consistent partitioning (e.g., image segmentation), we include multicut constraints in the formulation. The resulting problem is $$\mathcal {NP}$$ -hard, and two techniques are introduced to improve the computation. One is to adopt a cutting plane method to add the exponentially many multicut inequalities on-the-fly. The other is to provide initial feasible solutions using a tailored heuristic algorithm. We show that the MIP formulation on grid graphs is approximate, while on king’s graph, it is exact under certain circumstances. We conduct initial experiments on synthetic images as well as real depth images, and discuss the advantages and drawbacks of the two models.
코칭리더십과 행복에 관한 연구: 학습목표지향성과 피드백추구행동의 매개효과를 중심으로

The purpose of this study is to empirically verify the mediating effect of learning goal orientation and feedback seeking behavior in the process of coaching leadership affecting happiness. To this end, we conducted a survey of 331 office workers across the country, secured reliability with SPSS 26.0, conducted a confirmatory factor analysis with AMOS 26.0, and verified the hypothesis using a bootstrap method with SPSS Process Macro 3.5. Research has shown that coaching leadership has a positive effect on learning goal orientation, feedback seeking behavior, and happiness. In particular, it has been shown that the learning goal orientation has a positive effect on the feedback seeking behavior, happiness, and that the feedback seeking behavior has a positive effect on happiness. Furthermore, the learning goal orientation and feedback seeking behavior have been shown to have a mediating effect in the relationship between coaching leadership and happiness. The implications of these findings are summarized as follows: First, learning goal orientation and feedback seeking behavior have been empirically identified as new mediating factors in the relationship between coaching leadership and happiness. Second, it is necessary to introduce systematic coaching and education programs for strengthening learning goal orientation, which has a positive impact on the happiness, and to implement programs to improve feedback seeking behavior.
IMPACTS OF CYBER CRIME ON INTERNET BANKING

Internet banking or e-banking refers to the facility through information and communication technology.Internet banking is increasingly becoming popular because of both convenience and flexibility.Computer fraudsters are always trying to gain illegal access to the information of financial and business sectors for fraudulent activities.The customers of Internet banking always fear for their financial data when dealing with Internet banking and its services.There is a need to create awareness among Internet banking customer on how to avoid the available threats.The research in this paper critically analyzes and discusses the effects of cyber threats when dealing with online banking services.It is concluded that by the research that there is a need to increase safety measures in available cybercrimes when dealing with Internet banking and sensitive financial data.
A ROBUST-TEXTURE CONVOLUTIONAL NEURAL NETWORK

AlexNet was a breakthrough for the convolutional neural network (CNN) and showed the greatest successful mod- ified CNN that works well with large-scale images. However, it was unsuccessful in texture classification tasks. To extend CNN’s capability, this paper proposes a modified CNN architecture called a robust-texture convolutional neural network (RT-CNN) to serve both complex shape and texture classification tasks, especially in the following challenges: (i) the same class of images naturally contains various viewpoints, scales, uneven illuminations, etc. (ii) similarly shaped objects with different textures of images are often assigned into different classes; and (iii) dif- ferent shaped objects with similar textures of images are often assigned into the same class. The proposed scheme embeded a texture-embedded supplementary method, composed of texture compensation and supplement, into the CNN architecture. The texture compensation is constructed from texture subbands decomposed by 2D Littlewood-Paley empirical wavelet transform (2D Littlewood-Paley EWT). Then the texture supplement is constructed from texture subbands by using Gabor wavelet to extract multi-scale and multi-orientation texture features. Based on two challenging datasets, the experimental results show that RT-CNN outperforms all test baseline methods: AlexNet, T-CNN, and wavelet-CNN, in terms of recognition accuracy rate. On a typical dataset, the recognition accuracy rate of the proposed method is still better than those of T-CNN and wavelet-CNN, and is comparable to that of AlexNet.
Building a Dependency Injection Container

In the previous chapter, we built a really awesome ORM. With it, we can take our database work to a whole new level. It should give you lots to tinker with and think about.
Study on Obstacle Avoidance Method for Highly Redundant Robotic Arms

Obstacle avoidance is an important concept to be considered when a robotic system is installed in an environment. Obstacles within the working space of a robotic system can prevent the robot from performing the tasks assigned to it properly; hence, the designer of the robotic system must program the robot to follow an emergency strategy that enables it to avoid any contact with a probable obstacle anywhere anytime within the working space of the robot. For mobile robots, this task is relatively easier to accomplish since these robots have the flexibility to change their routes and take alternatives that are free of obstacles. For fixed robotic manipulators the situation is much more complex because in this case the only way to avoid an obstacle is to change the spatial configuration of the robotic manipulator which requires a sophisticated solution for the inverse kinematics problem of such redundant robotic systems. This is not an easy task however. In this paper, we are only concerned with obstacle avoidance techniques and present a real-time obstacle avoidance method for fixed, highly redundant robotic manipulators that combines the benefits of both global and local techniques in that it can be used for both static and dynamic environments with a reduced computational effort.
Cross-modal learning for saliency prediction in mobile environment.

The existing researches reveal that a significant impact is introduced by viewing conditions for visual perception when viewing media on mobile screens. This brings two issues in the area of visual saliency that we need to address: how the saliency models perform in mobile conditions, and how to consider the mobile conditions when designing a saliency model. To investigate the performance of saliency models in mobile environment, eye fixations in four typical mobile conditions are collected as the mobile ground truth in this work. To consider the mobile conditions when designing a saliency model, we combine viewing factors and visual stimuli as two modalities, and a cross-modal based deep learning architecture is proposed for visual attention prediction. Experimental results demonstrate the model with the consideration of mobile viewing factors often outperforms the models without such consideration.
Data aggregation lab: an experimental framework for data aggregation in cultural heritage

This paper describes the Data Aggregation Lab software, a system that implements the metadata aggregation workflow of cultural heritage, based on the underlying concepts and technologies of the Web of Data. These aggregation technologies can fulfil the functional requirements for metadata harvesting in cultural heritage and at the same time allow cultural heritage data to be globally interoperable with internet search engines and the Web of Data. The Data Aggregation Lab provides a framework to support several research activities within the Europeana network, such as conducting case studies, providing reference implementations, and supporting technology adoption. It provides working implementations for metadata aggregation methods with which our research has obtained positive results. These methods apply linked data, Schema.org, IIIF, Sitemaps and RDF-related technologies for innovation in data aggregation, data analysis and data conversion for cultural heritage data. The software is available for reuse and is open-sourced.
Actualisation of foreign language teaching content for future bachelors in the sphere of tourism

Introduction. Currently, the sphere of tourism and the hospitality industry in Russia face a certain problem: the quality of students’ schooling, including in a foreign language, does not adequately meet the present-day requirements of the market. The actualisation of foreign language teaching content for future bachelors in the training profile 43.03.02 Tourism, to be implemented in accordance with the requirements of the educational and professional standards, is one of the main factors in the formation of universal competencies of future bachelors, securing their competitiveness in the labour market. Materials and methods. The methodological basis of the research is represented by the competence-based and professionally oriented approaches to teaching a foreign language. The key research methods included the analysis of scientific essays of Russian and foreign scientists on the stated problem and the experimental research carried out on the basis of Bunin Yelets State University (Russian Federation) with the participation of 30 undergraduate students of the 1st and 2nd years of study. Results. In the course of the research, the original foreign-language curriculum for the students of the above-cited training profile was developed and tested. A number of supplements to the traditional content of foreign-language teaching programme are presented, proceeding from the basic requirements of the modern educational and professional standards. The comparative analysis of the data obtained before and after the training revealed a significant dynamics in the formation of universal competencies of the future bachelor in the experimental group (44.7% and 83.3%, respectively), and moderate dynamics in the control group (43% and 69.3%, respectively), since temp= 3.05 is greater than the critical tcrit= 2.14 at the significance level of 0.05. Conclusions. The obtained research results confirm the hypothesis on the practicality of forming universal competencies of future bachelors in the sphere of tourism, in the course of foreign language teaching under the advanced programme including the content modules in accordance with the areas (spheres) of professional activity and the requirements of the educational and professional standards.
Leveraging Graph Cut’s Energy Function for Context Aware Facial Recognition in Indoor Environments

Context-aware facial recognition regards the recognition of faces in association with their respective environments. This concept is useful for the domestic robot which interacts with humans when performing specific functions... | Find, read and cite all the research you need on Tech Science Press
The Egyptian Tourism and Hotel Sector Crisis Management Strategy: Application to the Coronavirus Crisis

The study aims to identify the impact of strategic planning in reducing the crises faced by the tourism and hotel sectors, and to identify the importance of strategic planning and its dimensions in addition to the elements of effective strategic planning, and the factors that must be taken care of by the administration that help in mitigating the effects of crises, with the aim of minimizing Among the risks facing the tourism sector in general, and tourism and hotel establishments in particular. The results of the study showed that strategic planning in the tourism and hotel establishments contributes to reducing potential problems. The low rate of employee participation in strategic planning is considered an obstacle to solving problems, as well as reveals strengths and weaknesses in the facility. And that strategic planning provides information useful in decision-making and solving problems and increases the clarity of workers' vision in crisis management. The results of the study also revealed that the application of strategic planning needs workers with appropriate scientific qualifications and sufficient experience in the field of strategic planning. The study recommended several recommendations, the most important of which were: Work to prepare a strategic plan to confront crises in general and the new Corona virus pandemic in particular, and that workers should be informed and involved in developing the strategic plan. The necessity for tourism and hotel establishments to adopt strategic planning in their business, especially long-term. And must refer the development of the strategic plan to employees with competence and long experience, provided that the strategic plans include programs, systems and clear policies for crisis management, and that planning is done in advance and not when crises are discovered in the facilities.
Metrología óptica en el estudio de eventos dinámicos

The evolution over time of structural changes in materials is of great importance in various areas of science, its study involves determining the phase with the change in the intensity of the physical properties to be measured. In this work, the use of Phase Displacement Interferometry PSI is presented using a combination algorithm of five interferograms or five steps, the results are compared with the addition of the states studied in the dynamic event, exposed in the Digital Holographic Interferometry DHI. The deformation was simulated from a rotating system in the coordinates (x, y). The results suggest that the phase map of the changing events with time that are calculated with PSI of five steps may have a relationship with the average of each change point of the dynamic event, with a difference of 0.96 radians.
Game Mechanics for Digital Learning

Communities of professionals work in a world saturated with information and subject to constant change. They need reliable training, updating and education. This may be based on established, stable and authoritative sources, or they may have to develop it themselves as situations and circumstances evolve. They may learn with conventional educational and training technologies, but most people are familiar with a range of popular social media. This chapter explains how the familiarity with games, their rules and formats, can be incorporated and aligned with other innovative and emerging informal digital learning techniques and implemented on free and familiar systems in order to enable sustainable, flexible, responsive and collaborative digital learning communities.
PREDICT QUEUE WAIT TIME IN A HOSPITAL ENVIRONMENT

Inefficient management of the patients‟ queues are one of the major issues faced in medical institutions like clinics and hospitals which end up in creating large crowds at the hospital lobbies and an extended waiting time in the patients‟ treatments. Waiting unnecessarily for a long period of time, ends only in loss or wastage of time, human life, and hospital resources. It also increases the number or frustrated patients that are waiting to get treatment required. Every single patient must undergo a diagnosis and then be forwarded to other departments or medical personnel for further procedures. Therefore, each patient’s waiting time is the time taken by the system to diagnose all the patients before him/her in the queue. In such a condition, the most practical decision would be to give out an efficient treatment plan to each patient. This can be implemented as a mobile application, wherein a predictable waiting time according to the diagnosis of the patient is uploaded, which then updates itself in real-time. Taking this into consideration, this paper proposes a Patient Treatment Time Prediction (PTTP) algorithm that can predict the time taken by a procedure for a particular patient. This algorithm can be applied to real world scenarios and can be implemented in a large-scale environment. After predicting a treatment time necessary, the Hospital Queuing Recommendation (HQR) system can be developed. The necessary input data for this is taken from a real-world scenario like an actual doctor estimating time for a procedure at a particular hospital.