Reviewerly/exHarmony huggingface dataset:
Would Freedom of Expression Become a National Threat: Youtube, Twitter and Wikipedia Problems in Turkey

Authority to impose sanction on the contents published on the Internet brings along a significant complexity of authorization due to the cross-border structure of the Internet. In the study, it is seen that access blocking decisions of Turkey regarding numerous contents on the Internet both harm the prestige of the country and limit the freedoms of expression and communication of its citizens. For example, not removing the contents regarded criminal by Turkish jurisdiction from the sites lies at the bottom of the problems Turkey had with YouTube and Twitter. In consequence of not being able to block these contents on URL basis and remove them, Turkey was forced into taking decisions that violate freedom of expression. The contents on Wikipedia, which emphasize that Turkey is supporting terrorist organizations are only personal opinions and they cannot be edited or d by some reason. Access to Wikipedia is still blocked due to these contents and Turkey is violating the rights to freedom of communication and expression once again. However, the reasons of Turkey’s being forced to violate these freedoms have never been discussed adequately for some reason. It is seen that Turkey cannot defend itself sufficiently in international arena in this respect.
Decision Support System for Determining Land Priority for Housing Development Using Fuzzy Analytical Process (Fuzzy-AHP) Method

The National Housing Development Public Corporation (Perumnas) was established as a government solution in providing adequate housing for the middle to lower classes, to realize this, Perumnas set a target of building 100,000 houses / year. The aspect of development is to ensure that all communities occupy decent homes in a healthy environment, an increase in the number of residents in the city, especially the city of Medan, causes settlement problems because the area of land is a fixed factor, while the population is always growing, thus requiring a system that can help decision in determining the priority of land for housing development. In this study an analysis of patterns related to applicable criteria or rules is implemented by applying the Fuzzy Analytical Hierarchy Process (Fuzzy-AHP) method, to produce accurate and effective information for making priority decisions on the location of the best residential development land. The analysis framework uses a data collection approach sourced from Public Relations, then an analysis is carried out to determine the criteria, rules and standards used, then a system is built by implementing the Fuzzy-AHP method to produce optimal alternatives that can be used as information. Alternative results will be evaluated by quantitative and qualitative analysis compared to the existing system. The developed system is expected to be used as a tool in decision making in the Regional Sumatra Regional Public Corporation I company that is optimal according to the criteria, rules or standards used. Data collection using the method of literature study, observation, interviews, and sampling. This research is expected to be one of the references in the application of decision support systems in a real scope and contribute to building a constructive community culture based on logical and scientific values.
A HEDGE ALGEBRAS BASED REASONING METHOD FOR FUZZY RULE BASED CLASSIFIER

The fuzzy rule based classifier (FRBC) design methods have intensively been being studied during last years. The ones designed by utilizing hedge algebras as a formalism to generate the optimal linguistic values along with their (triangular and trapezoidal) fuzzy sets based semantics for the FRBCs have been proposed. Those design methods generate the fuzzy sets based semantics because the classification reasoning method still bases on the fuzzy set theory. One question which has been arisen is whether there is a pure hedge algebras classification reasoning method so that the fuzzy sets based semantic of the linguistic values in the fuzzy rule bases can be replaced with the hedge algebras based semantic. This paper answers that question by presenting a fuzzy rule based classifier design method based on hedge algebras with a pure hedge algebras classification reasoning method. The experimental results over 17 real world datasets are compared to the existing methods based on hedge algebras and fuzzy sets theory showing that the proposed method is effective and produces good results.
Mean of Means: An Automatic Liver Segmentation Algorithm

We present an automatic liver segmentation method that utilizes the time series data in conjunction with the BK graph cut algorithm and uses a novel approach of computing a “mean of means” for each of the sample healthy and tumor tissue intensities from a set of different tumors. Thus, there is no training process required since these are computed ahead of time using Regions of Interest provided by radiologists. We also use a Gaussian B-spline to fit these two vector means to curves as an approximation for the intensity signals for the healthy and tumor tissues. This method provides a reasonable degree of accuracy for an automatic segmentation scheme, yielding a mean Dice similarity coefficient (DSC) of 73 percent, a relative volume difference (RVD) of 19.5 percent, and a Jaccard Score (JS) of 58.5 percent. The algorithm is simple to implement computationally, and the mean runtime of 24 seconds is short given that no training process is needed.
Expert System of Detection Defisiensi Imun Uses K-Nearest Neighbor Method

Immune deficiency is a collection of various diseases which, due to having one or more immune system abnormalities and impairing the functioning of the immune system that are decreasing or not functioning properly, with this condition the susceptibility to infection increases. This disease is mostly suffered by children, this is because the immune system changes in children who have not been able to deal with immune attenuation attacks. For now the number of children who do not get early treatment properly, this is due to a lack of public knowledge about this skin inflammatory disease. Looking at the problems that have been raised, it is necessary to build an Expert System that is able to move expert knowledge into a system of consultation services to detect Immunodeficiency Disease based on clinical symptoms experienced by applying the K-Nearest Neighbor method which functions to process knowledge so that can conclude disease probabilities that refer to the state of the previous diagnosis to be used as an initial diagnostic analysis
Perspectives and Implications of Japanese Language Teachers on the Cooperative Learning Implemented in The Classrooms Conducted at Senior High Schools in Makassar

The purpose of this research is to figure out the perspectives of Japanese language teachers and the implementation of cooperative learning conducted in the classroom at five Private Senior High Schools in Makassar.The research found that the teachers haven't clearly understood the perspectives and implications of cooperative learning as thosearenot commonly used at their schools.The teachers, which are considered as the participants in this research, tend to usegroup discussionsin traditional perspectives which highly focuson the grammatical patterns,while the cooperative learning is consideredas one scientific approach in the 2013 curriculum.Group discussion activities with authentic and attractive topicsmay encourage the students' motivation as reflected from the 2013 curriculum to the recently implemented learning activities in their teachings.In the other words, the implementation of group discussionsin the classroom is still conventional in which the teachers still become the centers of attention in learning the grammatical patterns.The teachers have not completely understood the roles, procedures andstrategiesused in the effective group discussionsof modern perspectives to reach the goals regarding to theimplementation of cooperativelearning.
Promotional Strategy as Maintaining Efforts User Loyalty of Information Services in Library College

Background of the study: Libraries have various challenges in maintaining their existence as information providers. Libraries must have support so that users do not turn to other services, have special strategies to connect themselves, establish good relationships, and provide user loyalty.Purpose: The purpose of this agreement is to describe the promotion strategy as an effort to encourage the loyalty of university library users.Method: The method used in this research is literature study and also uses the author's active participation observation method as a librarian in the university library.Findings: According to the results of research and literature study by the author, various university libraries provide various types of businesses. The results of the author's discussion there are several discussions about the library promotion strategy arrangement published; (1) Discussion of steps and targets in publicizing and promoting information services; (2) determining the promotion goals by specifying the type of user; (3) a budget is issued; (4) selecting the media used for publication and promotion; (5) evaluating various types of media that have been used; (6) the promotion process in terms of human resources, infrastructure, and various types of librarian activities.Conclusion: With the arrangement of the strategic promotion library model, the authors submit an opinion about the college library that provides a promotional strategy as a promotional container and guarantee self-existence.
The Empirical Study of Parents Perceptions on Exposure of Expert System to Recognize The Children Disease

The development of computers has transformed many changes very rapidly nowadays, it is simultaneously with the increasingly complex human needs.The advancement of an expert system is concerned to be used by parents to assist them in efforts to detect early childhood illnesses before medical treatment is done.This study aims to obtain a conclusion of measurement of acceptance of pediatric disease expert system.The partial testing of perceived is established usefulness and perceived ease of use variables has a positive result on attitude toward using on system usage.The positive influence is interpreted the better the perceived usefulness perceived user (user perceived usefulness) formed the more assured the attitude of the user (attitude toward using) in using the system.On the contrary, the research results is shown the perceived ease of use has no positive result on actual system usage on system usage.This is because the user response to the way the operation of the system is still said to be complicated and inflexible.
Language/Dialect Recognition based on Unsupervised Deep Learning

Over assume a significant job in our everyday life. Feelings are the normal physiological reaction of the human body which can be perceived by the outward appearance. In the proposed framework research has been done in the field of Human PC Cooperation (HCI). The whole task is separated into three noteworthy advances for example Pre preparing, highlight extraction and characterization. In the primary stage discourse recognition has been finished utilizing Vokaturi calculation. The framework identifies and crops the lipdistrict for further orders, and afterward the highlights are removed into vectorized structure.Removed highlights are contrasted and prepared database utilizing Strategic Relapse.
Triplet Feature Learning on Endoscopic Video Manifold for Online GastroIntestinal Image Retargeting

Optical biopsy is a popular technique for GastroIntestinal oncological analysis. Due to practical constraints on tissue handling, the biopsy is only limited to a few target sites. Therefore, retargeting of optical biopsy sites is fundamental in examining the GastroIntestinal tracts. As an online object tracking problem, learning the intrinsic feature is critical for robust retargeting. In this paper, we proposed an online retargeting framework for GastroIntestinal biopsy. During offline training, the endoscopic video manifold is built to mine the latent triplets to train the SiamFC tracker; In online tracking, we use both short-term and long-term template to locate the biopsy site in candidate image. To handle the out-of-view cases, reliability measurement and re-detection modules are introduced. Experiments on in-vivo GastroIntestinal videos demonstrate the effectiveness of the proposed method and the robustness to visual variations.
Analysis of possibility of virtual reality usage for investigating reaction on given conditions

The study was tend to checking the possibility of using VR technology to invoke specific emotions on the subject. Literature studies have shown a high probability of obtaining successful results, but so far studies have been based on measurements obtained using specialized, expensive equipment. This study was about to show that obtaining similar results is also possible with usage of low budget solutions. Received results allow to conclude even using the less sophisticated technology, satisfactory results can be gained, which can determine the effect of the image displayed in the goggles on the emotions of the subject.
NCL: Storing ambient settings in media node

This proposal consists of adding one more type of variable storage setting node, called “x-ncl-ambient-settings,” which stores environment information. This information may come from sensors in the physical ambient that must update this data periodically or as defined by the author of the NCL document. These variables can be used by NCL links or procedural code to drive application behavior based on the perceived environment information.
Studying the effect of perceived organizational support and empowerment of employees on job performance in Kaleh Amol company with the role of organizational citizenship mediation

Organizational support theory states that employees form a general view of the extent to which organizations support themselves and, in result of this support, pay attention to the goals of the organization and their realization. In other words, when the organization is paying attention to the welfare of employees, employees compensate this attention with more commitment and better performance. Social exchange theorists believe that the value of the give and take relationship will be higher when it is done optionally. The purpose of this study was to investigate the effect of perceived organizational support and empowerment of employees on job performance in the Kaleh Amol Company with the role of organizational citizenship intermediation. The statistical population in this research includes all the experts and executives of Kaleh Amol Company, Who are technically in charge of achieving the goals, which the number of these people is also estimated to be 114. According to the sample size formula, the sample size is 89 people. The questionnaire for this research is also from Chan et al. (2012). After analyzing the data with Pls software, it was concluded that perceived organizational support and empowerment of employees have effect on the job performance in the company of Kaldeh Amol with the role of organizational citizenship mediation.
Optimization of Degree Regenced Segment Lines Detection Using Ant Colony Optimization Algorithm

Edge detection is an important operation in digital image analysis to get a better image as needed.In the edge detection process to determine the location of the points that are the edge of the object.The purpose of edge detection is to detect borders that constrain two areas of image, object and background.In this paper will be done pre-image processing by eliminating noise using Geometric Mean Filter algorithm then will be done edge detection using compass operators and will be calculated MSE and PSNR, then as a comparison with line detection with Hough Transform algorithm and edge detection with Ant Colony algorithm.The results obtained are reduced error and increase Peak to Noise Ratio (PSNR).
Analysis of Iterative Dichotomiser 3 Algorithm Uses Fuzzy Curves Shoulder as a Determinant of Grade Value

Data mining is a process that combines statistics, artificial intelligence, mathematics and machine learning to extract data on a large scale in the database.Data mining is always able to analyze the data so as to find the relevance of data that has a meaning and have a tendency to check large-scale data stored in the database to find a meaningful pattern or rules.The increasing availability of data is often not utilized to provide new knowledge so that large data accumulate is meaningless.The purpose of this research is to extract the information so as to produce knowledge through the decision tree and show the accuracy or influence of Iterative Algorithm Dichotomiser 3 which is used to predict a situation.The classes or attributes in the Iterative Algorithm Dichotomiser are continuously broken into relative categories.Fuzzy Curve Shoulder will be used as a function to form the categories of each attribute value.Using a fuzzy shoulder curve, the dataset is processed using a decision tree that is useful for extracting large amounts of data and searching for hidden links between multiple potential input variables with a target variable.The results of this study are decision trees that will provide predictive data with Iterative Dichotomizer (ID) Algorithm 3.
Spesific aspects of preschool teachers` professional development. Organization of methodological activities

Organization of methodological activity is determined as an important factor of improvement the professional level of teachers of preschool educational institutions and one of the ways of reforming of education.It is noted that the main aim of methodological activity is scientific achievements and pedagogical experience as a complex system of interrelated measures, aimed at improving of qualification, professional skills and abilities of the teacher of the preschool educational institution.andthe entire pedagogical team.The content of methodological work in the preschool educational institutions is determined in accordance with the specific goals and objectives.
Analysis of Rank-1 Updating in Decentralized Estimation for Collaborative Navigation

Relative positioning of networked platforms is a key technical enabler for many missions particularly in environments where GPS is challenged or denied. Collaborative navigation of such networked platforms makes use of relative range, range rate, and/or bearing measurements to each other and/or to a third party so as to improve the relative positioning accuracy and possibly the absolute one. A centralized processing scheme, which gathers all measurements from all nodes and then disseminates the processing results, though being theoretically optimal, is not scalable as the network size increases. Besides, it presents the risk of a single point failure. A distributed decentralized estimation strategy, though suboptimal, is practical. The navigation states of active nodes in the network are communicated to a node via data link and those neighboring nodes that are involved in common view and/or internodal sensing are used in assisting the node to improve its navigation. However, each distributed estimator needs to take into account the uncertainty of the assisting states. In addition, the use of common view and/or inter-nodal measurements, though not dynamically coupled, makes their state estimation errors correlated. This cross-correlation, if not accounted for properly, would make the estimation too optimistic (inconsistent) and may lead to divergence (de-weighting and discarding new measurements). The adjacent nodal uncertainty and inter-nodal cross-correlation are two major issues to address for a viable scalable distributed estimation mechanization. In this paper, we perform a theoretical analysis of inter-nodal rank-1 updating. The behavior of collaborative navigation with inter-nodal measurements differs from a standalone navigation with similar measurements to a reference point. It is shown that the error reduction is not symmetric for collaborative navigation, depending on relative errors of each node. The direction of minimum error of a node can serve as a reference for others with large errors in that direction, which has implications in sensor selection and/or path planning. Furthermore, there is an initial error reduction when two nodes first communicate (a teamwork effect due to spatial averaging) and no further reduction afterwards due to cross-correlation (a reset effect without temporal averaging). However, as the agents propagate in space and time, their state estimates become de-correlated due to inertial error growth and local updates with different sensors. At this point, inter-nodal updating becomes more cost-effective again. Simulation results are presented to support the analyses with discussion on implications for algorithm design and implementation.
Civilizing the Library User in an Academic System

To civilize the library user in an academic base system means educating the student via a structured library user education procedure.The inability of students to use the library as expected is a problem.The objective of this study was to promote student library usage via the mechanics of effective library user education services.Therefore, the specific objectives were to find out the available user education methods used by the college library of Federal College of Education Zaria, and to also find out the possible ways to improving user education services of the library.The population of the study constituted the professional library staff.And case study method was used, alongside interview as an instrument for data collection.Data collected was analyzed using simple frequency and percentage of responses.Findings of the study indicated that five methods were readily in place for educating students in the use of the college library.Other improved methods were also suggested by the library staff.The study concluded on the note that the majority of the professional library staff (77.8%) are bachelor degree holders in library studies.Among recommendations given were the use of online platforms such as library website, and social media, among others.
Correlation and Partitioning of Some Heavy Metals in Aquatic Media Around a Make Shift Crude Oil Refining Area

The major aim of the present study was to evaluate the concentration levels of some heavy metals and their relationships between the bottom sediments, its overlaying (bottom) water and the surface water of the study area in Andoni local Government of Rivers State, Nigeria (Long.7° 20' 48.639''E and Lat.4 29 20.169N) using standard methods of analysis. The mean result showed variation patterns (P&lt;0.05) of the metals in each of the medium as - surface water – Mg&gt;N=Cu=Zn&gt;Pb=Cd&gt;V; bottom water – Mg&gt;Cu&gt;Ni=Zn&gt;Pb=Cd&gt;V and bottom sediments – Mg=Zn&gt;Pb&gt;Cd&gt;Cu=Ni&gt;V, while that of the media for each metal is Sediment &gt;&gt; Bottom water=Surface water. The sediments of the study area had more positive significant correlations among metal pairs than others indicating that metals were more bound to the sediments than in the water columns. V-Cd, V-Pb and V-Ni showed significant positive correlations in the water columns indicating that their input sources may likely be the same, which could have been from petroleum related activities. The level of contamination of the study area is relatively high when compared to related studies within and outside the region. It is therefore recommended that the activities of this make-shift refining of crude oil in the area should be stopped by the relevant regulatory agencies and also further studies on other media should be carried out.