Reviewerly/exHarmony huggingface dataset:
EnMAP User Interface - An Overview of EnMAP ground segment services

EnMAP (Environmental Mapping and Analysis Program) is a future German hyperspectral satellite mission providing high quality hyperspectral image data on a timely and frequent basis. Main objective is to investigate a wide range of ecosystem parameters encompassing agriculture, forestry, soil and geological environments, coastal zones and inland waters. The EnMAP Ground Segment will be realized and operated by the German Aerospace Center (DLR) covering all aspects relevant to assure successful mission operations. This comprises controlling and commanding the satellite using multi-mission infrastructures as well as data reception, hyperspectral data processing including calibration, data archiving, data dissemination, and providing web-interfaces to the international user community. From the users´ point of view there are two major scenarios of particular interest. First the handling of image acquisitions based on user requests and second the generation of standardized products based on acquisitions or archive orders by users. This paper provides details on the concepts, design and functionalities of the EnMAP user interface, which consists of two online portals interfaced with several subsystems of the EnMAP Ground Segment:First the EnMAP Portal (www.enmap.org) provides general EnMAP mission information. It is the central entry point for all users interested to learn about the EnMAP mission, its objectives, status, and results. Second the EnMAP Data Access Portal links to a set of functions for registered users that will support the international EnMAP user community. This portal includes amongst others a proposal portal allowing submission of proposal for all users responding to a Data Announcement of Opportunity (AO). The proposals and the associated results will be presented by an interactive map supporting the establishment of a worldwide user network and guarantee the highest transparency of the proposal process. Observation requests are issued to order EnMAP data takes and provides all information required for scheduling data takes such as location and extension of the observation area, acquisition time frame, sensor look angle and required data products. Additionally, the platform informs about the conditions and requirements for the EnMAP data access and the ongoing scientific programs and activities. The catalogue browse and order service (EOWEB portal) allows browsing and ordering of EnMAP data products that have previously been acquired, processed, and archived in the product library. The operational services offered through the EnMAP (Data Access) Portal will be complemented by a service team, EnMAP Application Support, offering expert advice on the exploitation of EnMAP data.
THE READING BASED INSTRUCTION TO FOSTER LEARNER AUTONOMY IN AN EFL-LEARNING COMMUNITY

This study deals with the current issue of how reading based instruction fostering learner autonomy in an EFL-learning community. Here, teaching learning activity follows the steps: pre-reading activity which consist of material orientation, whilst-reading activity which consist of material exploration and reading based instruction, and post-reading activity which consist of presentation and discussion. It is qualitative study and the data of this study were taken from observation of learner’s autonomous behaviours in the classroom while teaching-learning process. The data were analysed qualitatively through several stages, such as (1) data transcription, (2) data classification, (3) data analysis to find learner’s autonomous behaviours, and (4) data interpretations. Based on data analysis, the result of this study showed that in all of the meetings, the learners’ actions to be an autonomous learner or independent learner in the classroom consists of the action in determining their own learning, objectives, and their self-direction in order to fulfil their lesson. Moreover, autonomy here was not only associated with individualization but also all the learners’ need, skills, and motivations. Then, the instruction which is follows a structures and well prepared program that is designed is the best way to promote learner autonomy. Furthermore, the learners’ responsibility to determine their own objective was mostly influenced by their self-direction that is motivation to fulfil their lesson which is being one of the learner’s autonomy criteria.
Temporal Analysis of Supply and Demand of Topics on The Web

Timing of supply and demand for information on a topic does not always coincide. Sometimes one of them rises first, then the other follows. We show a classification of hot topics on the Web in the past based on the temporal relationship between their supply and demand, and also show that our classification is useful for predicting the timing of supply peaks in some cases.
Caught in Eye Trackers’ Blind Spots: Adapting Vision Studies to Ethnographic Field Research

Although eye tracking has been used to analyze user interfaces, the technology poses numerous challenges when applied to environments in which people move, work, and interact. Aren’t eye trackers limited to studying two-dimensional planes? How might the device help to understand activities that are not exclusively visual? These questions are integral to ethnography, the observational study of peoples’ interactions with products, processes, and places. We offer answers by way of two bodies of research. The first was conducted to optimize Instructions for Use (IFUs) for medical devices. The second was an exploratory study conducted to adapt eye trackers to manual tasks. The objective was to cultivate interpretive methods for evaluating visual and non-visual perception in eye-tracking data (i.e., fixation duration, gaze plots, heat maps). We suggest that the latter body of research illuminates new opportunities for ethnographic fieldwork to examine how medical professionals move their bodies when simultaneously carrying out procedures and viewing visual systems.
FORENSIC ACCOUNTING POLICIES AND FRAUD CONTROL IN COUNTY GOVERNMENTS IN KENYA: EVIDENCE FROM COUNTIES IN MT.KENYA REGION

In the current century, fraud has become an issue that management and other stakeholders are aggressively trying to bring to a sustainable level.Fraud instances have been increasing in many organisations amidst continuous fight by governments and other agencies.The purpose of the study was to establish how forensic accounting policies would influence fraud control in County Government in Kenya.Seven counties in the Mount Kenya region were considered as the target population as well as the study sample size constituting of 351 staff members.To establish the level of statistical significance between the practical and predictable value, Analysis of variance (ANOVA) was used.Pearson coefficient of correlation was used to establish the strength of association among the variables while Regression analysis was used to approximate the model coefficients.Moreover, test of hypothesis was also carried out to define the relationship between the variables.In General, the study concluded that there was a positive linear relationship between Forensic Accounting policies and fraud control.It was evident that forensic accounting policies influenced fraud control by a coefficient of (0.219).The study therefore concluded that adoption of forensic accounting policies in county governments in Kenya would enormously contribute to fraud control in the public entities.
The Correlation between Empowering by Tutors with Student’s Motivation

The research was distributed by low motivation citizens learn in following the process of learning, this is allegedly due to lack of skills gives reinforcement by tutors on equality program Package B in the SPNF SKB Padang Panjang City. This type of research using quantitative methods korelasional. The population in this research study program is a citizen equality Package B in the town of Padang Panjang SPNF SKB of 20 people. The number of samples is as many as 15 people. The technique of sampling using stratified random sampling. This research data analysis techniques using percentage and rank order. On the results of the research can be seen that (1) the lack of skills gives reinforcement by tutors, (2) lack of motivation in learning citizens follow the learning process, and (3) there is a significant relationship between the skill of giving reinforcement by tutors with the motivation of learning in the citizens equality Package B in the SPNF SKB Padang Panjang City.Keywords: Reinforcement, Motivation of Learning
Enabling Knowledge Management in Complex Industrial Processes Using Semantic Web Technology

Complex industrial processes produce a multitude of information during the product/service lifecycle. Those data are often stored, but rarely used in the context ofoverall process optimization, due to their unstructured format and the inability to integrate them with stored formal knowledge about the domain. This paper proposes a way to mitigate this problem, by extending the standard SPARQL query language to enable the integration of formal knowledge and unstructured data, as well as their joint processing. The paper constitutes an initial definition of the proposed SPARQL extension and demonstrates its applicability in the context of selected examples.
Research Guides: Library Liaisons: Library Liaisons

The Library Liaison program pairs librarians with specific academic programs to better support faculty teaching and research, and to enhance the library’s instruction and collection development programs.
Righting Writing's Wrongs: Toward Effective Writing Partnerships between Humans and AI

In industrialised nations, we take for granted that knowledge is acquired and shared through a written medium, and yet the actual task of writing remains a hard skill to master.In this paper, we present a blueprint for the integration of artificial intelligence (AI) into Web-based text editors, and show that this contributes towards simplifying the writing task for authors.Our approach utilises the textual content of a document as input into existing artificial intelligence processes, extended with an RDF knowledge graph.The supplementary material from the AI partner is presented to an author for possible inclusion in their document.We separately evaluated two approaches to the presentation of linguistic tone analysis into editors.Our results from unmoderated observational user tests validate the premise that cognitive technology can simplify the writing task, and show that design is critical to the adoption of cognitive technologies.We conclude with lessons learned from deploying informal qualitative research sessions and online observational tests, and share opportunities for future work.We note that merely applying AI or any new technology to a human activity is patently insufficient.Our limited experience and evaluation suggest that design and user testing are necessary activities for adoption and acceptance.
Studying the Impact of the Color Representation Choice on Segmentation Results by the Seeded Region Growing Algorithm

With the adaptation of traditional image processing methods to answer to the requirements of analyzing more complex representations than the standard gray scale portrayal, a growing interest is directed towards color image processing. Many color spaces are suggested in the literature, each serving a defined purpose and generating an output image with distinguishable perceptual differences. One other major difference between existing color spaces is the meaning each of them gives to the color component that makes certain operations and transformations possible on a representation and not on another. This raises the question whether certain processing may score distinct results on different color spaces. In this paper, we investigate the impact of RGB and HSV color representations on one the most famous segmentation methods: the Seeded Region Growing algorithm (SRG). The implemented method follows a three step process: 1) The automated seed selection, based on two criteria, 2) The region growing phase, that will gather neighboring pixels and seeds into regions according to a similarity rule guided by the Euclidean distance, and at last, 3) the region merging phase will proceed to overcome the over segmentation issue and enhance the meaning of the defined regions will improving the segmentation accuracy. Three metrics from the literature were used to assess the performances of our algorithm on both color spaces conforming to similarity, distortion and noise. The segmentation results were compared by combining and averaging the performance measures from an images sample from the Berkeley dataset. The algorithm showcased more accurate results and consumed less execution time in the HSV color space compared to the RGB one. Post processing steps were tested and included in the RGB model to enhance the segmentation outcome.
Grammatical Error Performances in Indonesia EFL Learners’ Writing

The present study attempts to investigate the grammatical error performances in Indonesia EFL learners’ writing through the framework of Error Analysis (EA).  The errors are examined and categorized based on the integration of linguistic and surface strategy to gain detailed and comprehensive results. This study was conducted through a qualitative approach within an intrinsic case study design. This study was initiated in 1 senior high school of Kuningan city, West Java. It involved one hundred participants in the twelfth grade. The data were mainly obtained through written test and interview. The results reveal that the learners commit numerous error types in fourteen linguistic categories, especially in the verb areas. The errors are dominated in the form of misinformation and omission type. Furthermore, the possible sources of errors is obtained through the learners’ personal perspectives and analyzing the errors themselves. The sources involves the incapability to accomplish, recognize and comprehend the foreign language rules and its restrictions, less mastery of vocabulary and grammars. Hence, these shortcomings should be great concerns for the involved authorities. It is suggested to consider some advanced actions to overcome the errors and fulfill the learner needs.
Forensic investigation of Dcard Social Media

In this paper, we focus on the Android mobile phone forensics and Windows 10 computer forensics for the Dcard application. We strive to find digital evidences that user has been done on the Android mobile phone and Windows 10 operating systems. The tests consisted of installing Dcard social networking application, conducting common user activities through this application, acquiring image files of hard disk and physical memory, and performing manual forensic analysis on each acquired image file. The forensic analysis was aimed at determining whether activities conducted through Dcard application was stored on the device's internal memory and hard disc. If so, the extent, significance, and location of the data that could be found and retrieved from the hard disk image and physical memory image. This study shows which features of Dcard application leave evidentiary traces allowing for suspect data to be reconstructed or partially reconstructed, and whether device forensics permits the reconstruction of that activity.
KAOLIN REFLECTANCE SPECTROSCOPY: USING PLS-R TO PREDICT CONTAMINANT CONTENT

The present study deals with the prediction of contaminant concentrations in kaolin using Partial Least Squares Regression (PLS-R).The aim is to show that PLS-R method can be used to predict contaminant concentration in kaolin.High level kaolin means a kaolin with high-brightness.Since brightness is directly related to the reflectance spectrum and kaolin contaminants affect the reflectance spectrum it is important to the beneficiation of kaolin relates optical features and contaminants.Depending on the product to be produced, the optical parameters will influence how the kaolin will be processed.High-brightness kaolin and two red and yellow inorganic pigments were used to simulate colours contaminants frequently found in Brazilian kaolins, such as, hematite, goethite, rutile and anatase.By adding different pigment concentrations to the pure kaolin, it was possible to create a small dataset containing the visible reflectance spectrum of each sample with the respective optical quality parameters of the kaolin.Results allow us to conclude that PLS-R can predict through the reflectance spectrum the contaminant concentration of the kaolin with R-squared equal 0.9954 for red content and R-squared equal 0.9973 for yellow one.
Automatic Enhancement of Low Light Level Image on the Basis of a Gaussian Mixture Model

As the first medium to transmit information under a low light level environment. The low light level image is needed in hot-light image imaging technology. The quality of the image will be reduced given the influence of external factors. For example, a sampled image may become blurry. This paper proposes a method for automatic enhancement of low light level image on the basis of a Gaussian mixture model. First, the histogram of the image is modeled with a Gaussian mixture model that is solved by the expectation maximization algorithm of accelerated convergence. The histogram is then partitioned according to the intersection of each cluster. Finally, the mapping relationship of the cluster to which the output image belongs is ascertained and the final enhancement image is obtained. This algorithm can be used to identify the optimal number of clusters and accelerate the convergence speed of the algorithm. Objective evaluation of the Laplace operator value, as well as the grayscale average gradient and contrast (Tab. 1), indicates that the algorithm effectively improves image contrast while maintaining the details of the image.
THE ETHICS OF SOCIAL ROBOTS

ABSTRACT People worldwide are living longer today and taking care of the aging population will become a significant challenge for society. Over 15% of the US population is over 65 years old and the number will continue to grow when more and more baby boomers retire. It is projected that by 2030, the number of retirees will make up 21% of the US population. The problem is that there will not be enough caregivers for the 76 million American seniors. Will the US follow Japan and turn to Social Robots for elderly care in the era of aging populations? Are Social Robots the solution to assist the elderly in their daily lives? This paper seeks to examine the challenges that our aging society faces, the ethical issues surrounding the use of social robots for elderly care, and the ethics of social robots in general. Keywords Social Robots Ethics; Aging Population; Elderly Care
THE DETERMINANTS OF ETHIOPIA�S BALANCE OF PAYMENTS: AN EMPIRICAL ANALYSIS

ABSTRACT Ethiopia has been gradually depreciating its currency, birr to make its products competitive and to stimulate them to the global market. Though Ethiopia has persistently depreciated its currency for the last twenty years, it has experienced chronic difficulty balancing its payments. Initially using the elasticity, absorptive, and monetary approach, the study attempted to investigate the determinants of Ethiopia’s balance of payments. Then, by interlinking the most statistically significant predictors of the elasticity, absorptive, and monetary approach into one regression equation, the study used ordinary least square (OLS) analysis techniques to investigate the determinants of Ethiopia’s balance of payments for the period 2000-2018. Negating the elasticity approach, the results of the OLS analysis failed to explain the relationship between currency devaluation and Ethiopia’s balance of payments. However, the variable, open trade policy (that is, lower tariffs, quotas, and subsidies) indicated that even in trade liberalization policy that the country followed, Ethiopia’s balance of payments showed a significant deficit. Based on the absorptive approach, the data indicated a positive relationship between domestic investment expenditure and Ethiopia’s balance of payments. That is, from 2000-2018, Ethiopia’s domestic investment expenditure exceeded its national income (GDP). Finally, contrary to the assumptions of monetary approach, the data indicated that marginal increase in foreign exchange reserves created significant negative effects on Ethiopia’s balance of payments. Overall, the study indicated the significant determinants of Ethiopia’s balance of payments included open trade policy, domestic investment expenditure, and foreign exchange reserves. According to the availability of data the study is limited to 18 years (2000-2018).The policy implies that dis-equilibrium in Ethiopia’s balance of payments could be reasonably handled through the generation of potential new businesses, validation of the new products in the global market, and the proper management of accumulated convertible foreign exchange reserves generated from exports, foreign assistance, and remittance. Keywords Balance of payments, Currency Devaluation/Appreciation, Elasticity, Absorptive, Monetary determinants
Sintren dan Perkembangannya: Studi Kasus Tari Sintren Santri Sanggar Windu Ajibudaya Kaso Tengah Kecamatan Doro Kabupaten Pekalongan Jawa Tengah

Traditional arts or folk art have certain characteristics that lead to the peculiarities of each region. This art emerged as a result of human cultivation to express the value of beauty, pleasure, hope for both himself and others. The existence of socio-cultural-religious experiences in the community gave birth to traditional arts which contained many values of wisdom. Sintren dance that developed in Doro Pekalongan Subdistrict is one of the traditional arts as a result of the aesthetic product of its people. Like other traditional arts, the shift in function and form is also experienced by this Sintren art. By using the Windu Ajibudaya Kaso Tengah Studio as an object of research as well as the use of a qualitative descriptive approach and observation, interview, documentation techniques, it can be seen how the art group's efforts in preserving its artistry. As well as what teachings and symbolic meanings are contained in them.
Exploración del correo electrónico como medio para el desarrollo de la competencia comunicativa de los aprendientes coreanos de ELE

The development of communicative competence in a context of teaching a foreign language requires the realization of appropriate and authentic tasks. Through a qualitative-descriptive study we analyze the communicative strategies of written interactions that Korean students develop in the communication by email with native speakers, and we show the adequacy of the use of this digital medium as a continuous activity outside the classroom, especially within a non-immersion learning context.