Reviewerly/exHarmony huggingface dataset:
Information and communications technologies in androgynous learning

Abstract The globalization of the economy, information and communications has allowed the social dynamics to be competitive, leading to social transformations, to respond to these demands they require new educational approaches as an alternative in the transformation of environments in line with the globalized world. The information and communication technologies used as an educational resource play an important role, facilitating the interaction, transport and dissemination of knowledge to remote places, where androgynous learning is required, a fundamental option for the formation and training of society, which leads us to reflect about the actions of teaching in adult education. The methodology used was based on the qualitative paradigm supported by phenomenological research methods, hermeneutics and ethnomethodology allowing close relationship with key informants, triangulation was used as a strategy to correct distortions. As results, the theoretical, epistemological foundation framed in significant elements that are derived from ontological, gnoseological, philosophical, pedagogical and andragogical postulates is established, establishing pedagogical conceptualization. In conclusion, it is considered that teaching models constitute the path for the transmission of knowledge, it is there that the technological tools of information and communications become facilitating means in the teacher-student interaction, allowing the efficient development of curricular activities.
Expressiveness of concurrent intensionality

The expressiveness of communication primitives has been explored in a common framework based on the π-calculus by considering four features: synchronism (asynchronous vs synchronous), arity (monadic vs polyadic data), communication medium (shared dataspaces vs channel-based), and pattern-matching (binding to a name vs testing name equality). Here pattern-matching is generalised to account for terms with internal structure such as in recent calculi like Spi calculi, Concurrent Pattern Calculus and Psi calculi. This paper explores intensionality, a feature that extends pattern-matching to allow communication primitives to interact by also matching on the structure of terms. By means of possibility/impossibility of encodings, this paper shows that intensionality alone can encode synchronism, arity, communication-medium, and pattern-matching, yet no combination of these without intensionality can encode any intensional language. Further, some languages may also be non-linear, where two inputs must be equal to allow interaction. This paper also explores all the relations between linear and non-linear variations of the above languages.
Image Saliency Detection Based on Spatial Distribution Statistics of Image Patch

According to biological visual attention mechanism, an image saliency detection algorithm based on spatial distribution statistics of image patch is proposed in this paper. Firstly, the structure of image patch is constructed by image segmentation; Then, color clustering is carried out on image patch, and the Color eigenvector and spatial distribution dispersion of clustering colors are calculated; After that, the statistical characteristics model of clustering color spatial distribution of image patch is used to detect the salient region of image; Finally, the image salient region is enhanced by calculating the distance between each pixel and the center of the image salient region. Experiments show that this detection algorithm has a higher precision and recall rate, can significantly suppress complex texture and noise, and remove the influence of complex background.
Statistics on the use of mathematical modeling as a research tool

Abstract This article is devoted to mathematical modeling as a research tool. The article is based on statistics of the joint Fund of electronic resources “Science and education” for the period from 1998 to the present. The selection of information about developments in mathematical modeling and statistical processing is carried out automatically by the collector_stat program developed by the authors of the article. The reconstruction of the higher school, which started in 2013 and is one of the active participants in the development of science in the country, is the object of research by Ofernio. The subject of research is electronic and information developments on the topic of mathematical modeling. Methods of research are methods of statistics, expertise, content analysis.
How Similar is Similar

There are so many languages in the world. However some languages are similar to each other. In this paper we compare two similar languages, Bahasa Indonesia and Bahasa Malaysia. We build corpora for both Bahasa Indonesia and Bahasa Malaysia and perform comparisons. We propose an approach to measure language similarity that combines similarity in written form and semantics.
Framework for Analysis of Thematic Interest in Scientific Networks using Fuzzy Time Series

The active growth of the scientific social networks is determined by increase of researchers and directions of investigations. This activity generates big data and analysis of such data could give not obvious knowledge about researchers, their thematic interest and direction of scientific development. One of the ways to know the scientific development is forecasting of the thematic interest using data from scientific social networks and cites. The goal of the paper is to propose the framework and techniques of mining this information on the basis of the publication activity prediction and linguistic representation of knowledge in the space and in the temporal areas. The fuzzy time series models, linguistic variables and transformations are combined in the proposed framework to achieve the goal. The proposed framework is applied in case study to determine the trends in scientific interest in selected topics.
Sarcasm Detection on Tweets using Deep Learning

Natural language processing is paving ways to finding meaning from various kind of themes of texts ranging from sentiment analysis to text based classification, often what happens in usual sentiment analysis is that the predicted sentiment might not be correct due to the presence of sarcasm in the text ,thus sarcasm detection is an important factor when producing insights from texts. Sarcasm is an important factor in today’s world . Majority of the youth uses sarcasm in their texts to convey their feelings .The author has analyzed various methodologies used for the detection of sarcasm and their efficiency.
A recursive pattern recognition approach to selection web services in cloud environment

Abstract There are optimization problems in the Cloud for the selection of web services, due to the large number of services available by different cloud providers and the diversity of quality of service parameters of each of them. This work proposes the adaptation of a pattern recognition model based on the systematic functioning of the brain called Ar2p for the selection of web services in composition activities in Cloud environments. The web serice are represented as patterns to be recognized by Ar2p, which determines the necessary and sufficient web services that constitute the composition of services that meet its functional and non-functional requirements. The services composition and activity selection have been formalized through a logical-mathematical model of web service recognition mechanisms in two steps, one that describes the syntactic search of the service and the second, which offers filtering through quality of service parameters. An adaptive implementation of the final model allows its recognition modules to be provided with any desired optimization strategy.
Effectiveness of “Butterfly” rotary sprinkler on dry land

Abstract Sprinkler irrigation is an irrigation application technology, which has high efficiency in the use of water; it is very appropriate to be applied in a relatively dry area. In its application, the high effectiveness of sprinkler irrigation systems can only be achieved if properly designed irrigation system and is operated properly. This research was conducted by designing irrigation networks. The irrigation application uses a butterfly sprinkler with a nozzle diameter size of 2 mm and 4 mm and pressure treatment to get the effectiveness of the irrigation system performance. Butterfly sprinkler with a nozzle diameter of 2 mm, effectively used at a pressure of 10-20 Psi, with a spray radius of 3.90 - 5.70 meters, watering discharge 6.49 - 8.10 liters/minute and water uniformity distribution 88.3 - 90.8 %. As for the 4 mm nozzle diameter, it is effective used at a pressure of 15-30 Psi, with a spray radius of 4.90 - 6.00 meters, a watering discharge of 9.98 - 14.83 liters/minute and a water uniformity distribution of 90.4 – 91.7 %.
한국의 잔류농약 모니터링 프로그램 현황과 개선

This study was conducted to understand the overall status of the monitoring program for pesticide residues in foods of South Korea. Further propositions for its improvement were made, and from this study, the status on this program can be summarized as follows. In South Korea, the Ministry of Food and Drug Safety (MFDS) is responsible for overall control of pesticide residue monitoring. Depending on the time of monitoring (sampling at distribution or production step), the government agency responsible for monitoring is different: MFDS, Regional Offices of Food and Drug Safety and local governments are responsible for monitoring of foods at the distribution step, while the National Agricultural Products Quality Management Service (NAQS) and local governments are responsible for monitoring of foods in the production step (partially at sale and distribution steps). According to purpose of monitoring, domestic monitoring programs could be divided into two types: MFDS´s “Residue Survey” and NAQS’s “National Residue Survey” are conducted mainly for risk assessment purposes and various monitoring programs by the Regional Offices of Food and Drug Safety and local governments are conducted mainly for regulation purposes. For imported foods, monitoring should be conducted at both steps of customs clearance and distribution: the MFDS and the Regional Offices of Food and Drug Safety are responsible for the former, and for the latter, local governments are also responsible. However, it appeared that systematic and consistent monitoring programs are not being conducted for imported foods at the distribution step. Based on the information described above and more detailed information included in this paper, the following proposals for improving the monitoring program were forwarded: i) further clarification of monitoring program purpose, ii) strengthening of the monitoring program for imported foods, iii) providing the public with monitoring results by publication of an annual report and database. It is thought that exhaustive review on the pesticide residue monitoring program and efforts for its improvement are needed in order to assure both food safety and the success of the recently begun positive list system (PLS).
Reflections on the training of undergraduate talents in hearing and speech rehabilitation

Hearing and Speech Rehabilitation is a new specialty under medical technology. It includes two independent subjects abroad, Audiology and Speech-Language pathology, and their training systems, degree systems and qualification systems are all different. It also developed into two branches in China. The audiology personnel training formed two different modes, the medical mode and the science mode. According to current professional orientation and demand for talents, it is needed to establish an academic organization for professional education as soon as possible and develop the undergraduate education standards for the science mode. It is important to pay attention to the knowledge and skills related to medicine and the post competency in training. It is necessary to take advantage of the characteristics of the specialty to enhance the university-enterprise cooperation and focus on the combination of production, education and research.Key words: Audiology; Speech-language pathology; Rehabilitation of speech and language disorders; Undergraduate education; Talent training
Detection of Failure Updation and Correction for Visual Tracking with Kernalized Correlation Filter

Correlation filter based trackers have tremendous results in the field of object tracking. There are still challenging situations to track object correctly. Such situations lead correlation filter trackers to lose tracking and there is less mechanism of re-detection. By analyzing the tracking failures this paper proposes an algorithm having four steps: 1) Track target through correlation filter tracker. 2) Detect tracking failures by analyzing correlation values. 3) Re-detect the target by generation of region proposals. 4) Updation of model. Object tracking benchmark 2013 and 2015 are used for experiments. Experimental results shows that the proposed algorithm in terms of accuracy performs better than the kernalized correlation filter, Staple, DSST, CNT, TLD, STRUCK, CSK and CXT.
An Oldy's Lament: Poem of Resistance and Resilience of the 'Othered' in Technology Colonisation

The poem 'An Oldy's Lament' was written by Julie Butler, an 86 year old creative writer. Julie describes her personal reflections on technology and society, while at the same time questioning her part in this seemingly pre-ordained arrangement of the technological world, as technology colonises societies. We analyse this literary expression from a postcolonial perspective, discussing how the 'othered' of innovation bring to the fore pertinent issues that need overcoming in both HCI research and the community at large.
Download TextPlus For PC Windows 10/7/8 Laptop

We all know that text or SMS and call is only doable if your phone has a SIM card. But TextPlus proved that it is now possible to do unlimited SMS using ...
Data stable aggregation algorithm based on fuzzy algorithm in cloud computing

In order to improve the ability of cloud computing data scheduling, this paper proposes a new method for multi-task, multi-level cloud computing data aggregation based on fuzzy association feature extraction. Heterogeneous directed graph analysis method is used to design cloud computing data. The s emantic correlation fusion method is used to implement cloud computing data feature extraction and adaptive scheduling. The fuzzy clustering is used to process the characteristic amount of cloud computing data, and the optimal aggregation of cloud computing data is realized. Simulation results show that the method has a higher recall rate for multi-task and multi-level cloud data aggregation, and the highest recall rate can reach 1, which improves the accuracy of resource aggregation.
Rainfall Prediction Based on Himawari-8 IR Enhanced Image Using Backpropagation

Abstract The wider sea area causes greater evaporation of water in Indonesia. In addition, these conditions have an impact on the season that Indonesia has. Indonesia’s high rainfall disrupts human activities. As a result, it is very important to detect cumulonimbus clouds using satellite imagery. The satellite image used is intended to be taken two values of the characteristics possessed. Characteristics taken are average cover and average cloud temperature. Previous studies predicting rain were only done using observational data taken at the height of 10 meters. This research predicts using satellite imagery that represents the cloud peak temperature value. Furthermore, the classification of data is done using backpropagation. The results of the classification process using backpropagation obtained the best results on the distribution of 80% training data and 20% testing data, with the activation function logging in the hidden layer and that the output layer. The results obtained indicate the accuration rate of 88,283%.
Motion Detection Using the Dynamic Color Texture

Color interest point detection is an important research area in the field of image processing and computer vision. In general, the use of color increases the distinctiveness of interest points. In this article we propose to extend the detection of the color interest point to the temporal aspect.
Posibilidades : una exploración tímbrica de la batería aplicada a tres contextos musicales

The present work approaches the timbral exploration of the drum set as a creative and interpretative trigger and raises the question of how to apply its results to three different musical contexts: jazz, improvisation and composition. The introduction reflects briefly about the standardization of drum set playing (interpretation) and my interest towards new sounds on the instrument. Later on, the objectives of the study are presented, a short problematization and historical contextualization about the standardization of music and the way to access Culture in the contemporary period is made, and multiple antecedents of timbral explorations in percussion and the drum set in all three musical contexts proposed in the question are listed. Then, the theoretical framework defines concepts such as timbre and extended techniques and reflects about the terms swing, jazz and ballad. Later, the methodology of the investigation is presented and data is classified in charts and annotations, which both aim to classify all timbral possibilities derivate from the exploration of a standard drum set with four hitting devices (sticks, mallets, brushes and hands) and three ways of sound production (hitting, friction and sympathy vibration); additionally the sound possibilities of the interaction between the drum set with a dynamic unidirectional microphone and its usage as hitting device, are classified. Later on the musical results and the timbral decisions made for each one are presented. Finally, the conclusions of the work are enunciated, which behave as reflections about it and about my personal process in its realization.
The reality of knowledge sharing methods (techniques) among employees of Saudi Arabia's Public Sector

Objectives:The study aimed to identify the reality of knowledge sharing among employees of Saudi Arabia's government/ public sector and the most prominent methods (techniques) of sharing their knowledge as well as their preferred methods of knowledge sharing.Methods/Statistical Analysis: The Ministry of Education was selected as a population of study using the case study method.A random sample of (400) individuals distributed to both male and female employees in universities using the questionnaire as a main tool for the study.Findings: The main results of the study were that the preferred methods among sample individuals to share knowledge are (help colleagues /workmates in case of need, participation in discussions to find solutions, use modern methods of communication with colleagues, education and training, moral encouragement, formation of interest groups, the use of a database to document knowledge and the use of traditional methods to document knowledge).Application/Improvements: The methods used for among sample individuals for knowledge sharing have been as follows (provide help and assistance in case of need, training by expert employees, hands-on training, participation in work discussions, the use of databases and the use of modern means of communication).
Introduction to Solar Neighborhoods

This chapter introduces the general concept of solar neighborhoods. The characteristics of a neighborhood are presented, followed by an overview of energy performance on an urban scale, including energy consumption and potential of renewable energy generation. Impact of neighborhood design on solar energy potential is briefly discussed in this chapter. Specific parameters that influence solar energy access and utilization, such as building design, density and community layout, are briefly introduced. These factors are presented in more detail in Chaps. 7 and 8 , with relation to two types of neighborhoods: small-scale residential neighborhood, and mixed-use larger scale neighborhood. Advanced neighborhood design trends which pose challenges both for research and application are presented. These include Net-zero Energy Neighborhoods and Zero Carbon Emissions Neighborhoods. These are neighborhoods that are closely affected by the potential of their buildings and urban surfaces, to capture and utilize solar energy, while reducing the dependence on fossil-based fuel. The chapter discusses modeling and simulation methods, as means to study various energy efficiency and solar potential strategies, applied on neighborhood scale.
Establishing the Syntactic Rules of the Kankanaey Dialect using RNN

Abstract The diverse culture and ethnic groups in the Philippines creates a beautiful mixture of ideas, traditions, and practices but also makes it hard for researchers to keep track of them all. One integral part of any culture is language, with one of the most spoken languages in the Cordillera Administrative Region (CAR) being Kankanaey. Unfortunately, it has very little resources and documentation for it. This paper presents a corpus created for Kankanaey that contains 3412 words and was trained with a dataset containing 400 Kankanaey sentences in order to establish its syntactic rules. Data for the collected texts for Kankanaey were taken from public sources online and were organized into various categories based on the type of content. Training and testing was done to establish the syntactic rules using the Keras API. The rules were derived by having each word in the training sentences tagged with the corresponding POS tag. After tagging, the number of POS tags were then expanded to all possible combinations of the POS which resulted in the documenting of 1,722 syntactic rules for Kankanaey with the model having an accuracy of 64% when it was tested to identify the syntactic rules in 50 test sentences.
The Design and Application of "Cloud - Edge -End" Integrated Computation in the Higher Education Teaching Informatization Construction

Along with the implementation of national educational informatization 2.0 and widespread wisdom campus constructions, teaching informatization, an important aspect of wisdom campus, is heavily studied and adopted in recent years. However, disorder management and poor satisfaction in teaching informatization are still widely present. A novel scheme based on cloud computing, edge computing and end capabilities exploitation and the hierarchical management of their integration, is proposed. It is carried out in practice in the construction of a public computer laboratory network, smart classrooms network and traditional classrooms update. It benefits teachers, students and maintenance staffs as it provides convenient interaction, real time response to malfunction, and clear hierarchical management without losing flexibilities. The overall satisfactions in the annul investigations are raised from nearly 30% up to more than 90%.