Reviewerly/exHarmony huggingface dataset:
A Study on Use of WhatsApp Messenger among Students for their Academic Achievements: A Case Study

Today's world technology plays a crucial role and rapid development of internet help the growing of messages processing using digital devices.These movements leading us towards the connecting and maintaining the relationships.This paper aims to investigate WhatsApp usage among students.The theoretical framework for current study is the "Uses and Gratifications theory", is called "Needs and Gratifications Theory".The current study covers qualitative feature of the research.This segment pact with examination of the usage of WhatsApp in everyday survives for students.The detailed meetings of 8 energetic WhatsApp users, three boys and five girls of the university were directed.As the students are the male student their explanation is to some extent is same they revealed that, they use WhatsApp application for the calls purpose and for sending notes and online study purpose.They use Facebook messenger for the purpose of joining different sort of study circle pages and for informal purpose.
Integration of Technology Enriched Games with Classical Teaching Instruments for the Development of Technical Communication Competencies

This way, the paper aims to identify a balanced mix of technology-enriched games and classical teaching instruments that is well-suited for the efficient development of technical communication competencies by students or trainees. The paper addresses the issue of developing technical communication competencies, analyzing the competencies involved in a structured way and then proposing some enriched technology games as innovative instruments to be used by teachers and trainers together with the classical teaching instruments. For this purpose, classical teaching instruments are analyzed to identify their strengths and weaknesses when used to develop technical communication competencies. Then innovative complementary instruments – in this case, technology-enriched games - are identified and configured to address exactly the weak point of classical instruments in a better way. The aim of these technology-enriched games is not to replace classical teaching instruments but to be integrated as complementary instruments alongside them. This approach is a novelty in the context of actual research. The findings could be implemented in all courses containing technical communication – a field that is future-oriented and has a high potential for development in the near future.
Implementation of Novel Image Restoration Technique from High Density Impulse Noise through Adaptive Max-Min Filter

Noise is ardent factor that reduces the quality of any system, disturbing the corresponding output. This is very noticeable especially in image processing techniques, wherein the image output is distorted to a very large extent. To reduce the effect of noise and to improve the quality of any image, it is mandatory to completely remove high density salt-and-pepper impulse noise. The salt-and –pepper impulse noise is a major hindrance that has to be eliminated by restoring the image using a specialized method that applies to all noise pixels. Involving edge protection and noise control, significant improves image quality compared to those restored by using just a nonlinear filter. The significant feature of the proposed idea is that removal of salt-and-pepper-noise as high as 95%.is obtained.
Sky-A* Algorithm for Artificial Intelligence

We have discussed variant of informed search in this paper like A* search. The informed search algorithm is developed to run in given limited memory by use of heuristic knowledge with retraction methods. We introduce the sky-A* algorithm for solving shortest path between two nodes. The sky-A* algorithm developed a logic by which the obligatory nodes like A* can extend and return the optimal result joining the nodes. In addition, the method sky-A* is guaranteed to return an optimal path when heuristic information used. We present a number of different methods for both low and high level procedures and analysis their results and performance. Proposed algorithm provides accurate combination of surroundings of video segments in situations when camera movements are complex.
JavaScript Arrays

This chapter will focus on working with JavaScript arrays. As a JavaScript developer, you will use the array often; it is the most commonly used data structure. Arrays in JavaScript come with a lot of built-in methods. In fact, there are various ways to do the same type of array operations for each use case. By the end of this chapter, you will understand how to work with arrays and be able to choose the right method for the situation.
Breast Segmentation and Probable Region Identification for Breast Cancer using DL-CNN

Mammography is one of the key method used for detecting the breast cancer, several researcher has proposed the detection and segmentation method, however absolute solution has not developed till now and they have certain limitation and still it is one of the major challenge for finding the region in masses. Hence in this research work we have developed and design a novel method named as DL-CNN (Dual Layered) architecture CNN. The main intention of the model is segmentation and probable region identification. DL-CNN is based on the Convolution Neural Network. It has two layer first layer is applied for identifying the probable region whereas the second layer is used for segmentation and minimizing the false positive Reduction. In order to evaluate the DL-CNN algorithm by using the In Breast Dataset. Moreover the proposed model is compared against the various model in terms of ROI(Region of Interest), Dice_Index and False positive per Image. Result analysis shows that our model outperforms the existing
UTILIZATION OF SOCIAL MEDIA ON REPRODUCTIVE HEALTH KNOWLEDGE AMONG ADOLESCENTS

Social media is currently very popular and is routinely used by teenagers. There are 98% of children and adolescents who know about the internet and 79.5% of them are internet users. Adolescents need to understand information about their reproductive health properly and correctly. With the existence of technology and high utilization of social media, teenagers should be able to access reproductive health information easily. It was a descriptive quantitative study using a cross sectional study design. The population was all students of a high school with a study sample of 100 respondents and the sample technique was stratified random sampling. As many (91%) respondents used social media to find information about reproductive health. More (94%) male respondents used social media to increase knowledge of reproductive health than female respondents who only 88%. Most respondents had sufficient knowledge, namely (40%). The type of social media that was often used by students was the website (36%). The majority of the respondents therefore had sufficient knowledge about reproductive health by utilizing social media as a source of information.
MATHEMATICAL MODEL FOR CALCULATING THE STRUCTURE OF A LIQUID (MELT) USING DISTRIBUTION FUNCTIONS

This article considers a spatio-temporal study of the structure of melts using the correlation functions of the distribution of physical and chemical analysis. The authors consider the properties of metallic melts and their dependence on the physical state of the melt. The dynamic structure of the melt is considered, the numerical description is given. The binary distribution function is distinguished as the one that best corresponds to the structure of the fluid. With the help of the atomic distribution function, if the interaction potentials are known, it is possible to find the equation of state of a system fluid, to determine its energy, compression, and a number of other kinetic and thermodynamic quantities. The atomic distribution function allows you to quantify the parameters of the short order in a liquid. The authors indicate two approaches for the theoretical calculation of the atomic distribution function to quantify short-range parameters in a fluid based on integro-differential equations that relate correlation functions to interaction potentials.&#x0D; For real systems, the most common methods of finding the radial distribution function are the method of diffraction of X-rays, neurons or electrons. This paper presents the results of X-ray diffraction by Pb-Cd melts, calculated functions of radial distribution of atomic density, presents the main parameters of the radial distribution function and the results of model interpretation.&#x0D; The article proves that the implementation of the mathematical model is possible through the theoretical calculation of distribution functions. The authors took as a basis the solutions of integro-differential equations, which include both the equation of the complete and correlation functions, and the equation that connects the distribution functions with the even interaction potential. The proposed mathematical model is implemented using the function of radial distribution of atomic density on the basis of physicochemical analysis. As a result of realization, the dependences of the percentage of atoms on the coordination numbers calculated in two ways in the graphical results are obtained.
Ambiguity Can Compensate for Semantic Differences in Human-AI communication

Ambiguity and semantic differences are each known to be independent sources of communication difficulty. However, we show using computational models that ambiguity can compensate for semantic differences across communicators. Given that the heterogeneity of humans with which artificial systems interact, semantic differences will be the norm. Therefore each time a machine starts to communicate with a new user, our results suggest it will do well to start with a moderately ambiguous code in order to more effectively bridge semantic differences. We dub this the “adaptive ambiguity” hypothesis.
Critical Success Factors of System Requirements Definition in IT System Development: An Industrial Case Study

The success of IT system development is largely dependent on the System Requirements Definition (SRD) phase. Researches on Critical Success Factors (CSFs) in the SRD phase are beneficial to the success of IT system development. However, reports that consider the situation in the system requirements definition phase is lacking and these studies try to develop universal truths for CSFs without lessons learnt from empirical evidence need to be characterized. This study is a step towards bridging this gap in characterized evidence to discover “difficult items” in the SRD phase. Moreover, we conducted a case study to justify the importance of CSFs that could be 1) Customer/User Involvement, 2) Clear project goals, and 3) Technical skills of the project team in the SRD phase. The results of the characterization indicated that those major CSFs are consistent. Another issue can also be mitigated by examining Agile method.
Comments on Lamarque and Julia, Solid Earth Discussions, 2019

This paper calculates teleseismic P-wave receiver functions to investigate the depth dependence of seismic anisotropy in the crust and lithospheric mantle in NE Brazil.The analysis considers the back-azimuth variations in observed receiver function signal and performs a harmonic decomposition to provide a quantitative estimate of anisotropy in terms of: 1) a plunging axis of symmetry and/or dipping interface; or 2) a horizontal axis of symmetry.The depth decomposition of the anisotropy is able to retrieve the average anisotropy in the crust and lithospheric mantle.The results show con-
AN OVERVIEW OF CRYPTOGRAPHIC LEDGER AUTOMATION: PILLARS, HISTORY, TYPES, USES &amp; FUTURE SCOPE

Cryptographic ledger, also known as Shared Register Automation, constructs the chronicle of any fichero asset inflexible &seethrough through dissemination &cryptographic hachering.A common affinity for understanding cryptographic ledger automation is any type of document app.When a document is created &then spread it among a whole lot of people, the document is spread rather in contrast to copy or budge.This generates a disseminate distribution bond that gives access to everyone for document on the same second.Nobody is banned to wait for changes from the other party, all changes at the dock are taken in that second, the alters are totally see-through.Also, the cryptographic ledger is tad bit complex in contrast to other document making app, but the similarity is not appropriate thus it reflects 3 important points of automation:-Fichero assets are disseminated rather in contrast to duplicate or transferred.-The property is disseminating, allowing full instantaneous access.-The see-through leader of the changes maintains the integrity of the document, creating trust in the property.Cryptographic ledger is an actually promising &timeless automation as it allows reduce crimes, prevent crime, &bring scalability to many applications.Cryptographic ledger has three main components: blocks, nodes &miners.
GEOCHEMICAL FEATURES OF ORES AND HOST ROCKS OF THE MALO-TARYNSKY OROGENIC GOLD DEPOSIT (VERKHOYANSK-KOLYMA FOLDED AREA, NORTHEAST RUSSIA)

The paper presents the results of studying the distribution of major, rare, and rare earth elements in the terrigenous rocks, wall-rock metasomatites, and ore zones of the orogenic Malo-Tarynsky gold deposit (Upper Kolyma folded area, Northeast Russia). Hydromicatization, carbonatization, sulfidization, and silicification played an important role in the formation of metasomatites and ore zones leding to different mobility of macroelements with a predominance of acidic low-temperature carbonic-calcium metasomatism. Increase in the proportion of quartz in wall-rock metasomatites and ore zones involved the loss of the most of the rock-forming elements: К, Na, Al, Fe, Mg, and Тi, and Ca and CO2 were supplied. The ores and metasomatites of the deposit are characterized by As-Au-Sb-W geochemical specialization with low Bi, Co, Ni, Cr, Cu, and Zn and high Li, Ag, Cd, and Sc concentrations. The distribution spectra of REE contents in modified rocks are similar to that of REE in Upper Triassic host rocks showing some tendency to decreasing their amount. The removal of rare earth elements during the formation of metasomatites and ores was established. The values of the Eu/Eu* (0.61–0.88) and Ce/Ce* (0.6–1.3) anomalies indicate slightly reducing conditions of the ore formation with a limited involvement of oxidized meteoric water.
Breast Invasive Ductal Carcinoma Classification Based on Deep Transfer Learning Models with Histopathology Images

The most common malignant type of breast tumor is Invasive Ductal Carcinoma (IDC). The IDC refers to cancer that has broken through the milk duct wall and invades the breast tissues. Over time, it can also spread to the surrounding breast tissue and cause cancer to other human tissue parts. According to the American Cancer Society, about 80% of all breast cancers are due to the IDC-type tumors. So, the early detection of IDC tumors is crucial. Nowadays, Machine Learning (ML) and Deep Learning (DL) techniques are used to identify the IDC tumor due to their success in the medical image processing field. The ML algorithms require a handcrafted feature extractor method, which is time-consuming and challenging, while deep learning algorithms are segmentation-free approaches. This study applied the three well-known CNN pre-trained models, including ResNet50, VGGNet19, and DenseNet201, to extract microscopic image features. The results of this study indicated that the three pre-trained models, including ResNet50, VGG19, and DenseNet201, achieved 79.61%, 87.27%, and 96.55% accuracy classifying IDC tumors where the DenseNet201 outperformed the other models. Therefore, the proposed approach would be an outstanding candidate for the early detection of IDC.
Optimised adaptive speech coder for software defined radio

In this paper, use of discrete wavelet transform (DWT) along with discrete cosine transform (DCT) is proposed to exploit speech coding parameters such as bit rate, compression ratio, delay and quality so as to fit the proposed coder in the family of existing speech coders'. The proposed coding technique is applied on different speech signals with fix frame size and desired bit rates. The obtained simulation result shows that the proposed coding technique outperforms in compression ratio with compatible processing delay. The mean opinion score (MOS) assessment shows its effective working at different bit rates (13 Kbps to 256 Kbps). The coder is also tested successfully on ARM 9 based software defined radio (SDR) platform at different frequency bands with desired bit rates. Hence, the coder may be considered as one size fits all type of coder for efficient utilisation of available frequency spectrum in mobile communication.
Research in teaching practice in non-face-to-face education

The present study work began in the face of the situation of the health emergency that is experienced worldwide in the face of covid19 and the non-face-to-face education that the Ministry of Education of Peru ordered; A qualitative research was carried out, taking into account the type of action research that allows generating pedagogical knowledge and allows achieving significant changes in the development of the learning sessions. Action research was implemented and put into practice to make an analysis and continuous improvement of my pedagogical practice, carrying out the following phases: the deconstruction of my pedagogical practice, followed by its reconstruction, the students wer’e considered as a study sample. 26 students of the artificial intelligence course.
Adaptive representations for improving evolvability, parameter tuning, and parallelization of gene expression programming

Gene Expression Programming (GEP) is a genetic algorithm that evolves linear chromosomes encoding nonlinear (tree-like) structures. In the original GEP algorithm, the genome size is problem specific and is determined through trial and error. In this work, a novel method for adaptively tuning the genome size is presented. The approach introduces new mutation, transposition and recolI)bination operators that enable a population of heterogeneously structured chromosomes, something the original GEP algorithm does not support. This permits crossbreeding between normally incompatible individuals, speciation within a population, increases the evolvability of the representations and enhances parallel GEP. To test our approach an assortment of problems were used, including symbolic regression, classification and parameter optimization. Our experimental results show that our approach provides a solution for the problem of self-adaptively tuning the genome size of GEP's representation.
Research Support at the Crossroads: Capability, Capacity, and Collaboration

Victoria University of Wellington Library's support for research is at a crossroads. The university is implementing an ambitious research strategy. In response, the library is repositioning services and support based on the identified needs of our researchers and contextualized within the research lifecycle. This is paralleled by the changing expectations and responsibilities of library staff and the skills, knowledge and pan-university relationships that are needed to deliver these evolving services. In this case study the key priorities for the Library's service development and delivery are outlined along with plans for building the capability of subject librarians in key areas. It discusses the challenges that are being addressed and key initiatives undertaken in collaboration with other university colleagues. It outlines strengths that already exist within the library structure, identifies what new skills and competencies are required, and touches on future developments.
Data Driven Scene Classification to Analyze ADAS

In every sphere of life Big Data will be transformative. Data Visualization and Analytics plays an important role in decision making in various sectors. In autonomous vehicles data from various sensors and RADAR are stored in data logger, which is huge in size. To evaluate the performance of specific sensor manually is tedious task. This paper proposes an idea to create an interactive GUI framework to analyze the vehicle data and sensor data using big data visualization method. The framework contains various plots and plots are made interactive to analyze data in depth for all the scenarios of ADAS. It can be used to analyze the behavior of the vehicle at each instance of time interactively and time synchronized image frames are also incorporated with framework to see behavior of the plots. The paper proposes a Framework to analyze the huge amount vehicle data and sensor data which can be used to analyze the behavior of ADAS application.
SCEA: A Speed-Changing based Algorithm to Optimize Decision Time for Emergency Rescue

Decision time optimizing is a core problem during the process of disaster emergency response.Traditional methods are mainly based on expert experiences, which is lack objectiveness and error prone.In this paper, based on the practical disaster assessment results and the disaster model we built, we propose two algorithms, DCEA and SCEA, to cope with the problem.DCEA is a distance-based algorithm to convert disaster assessment results series to unevenly time series.In this algorithm, we utilize Hausdorff distance as the distance operator.Compared to DCEA, an optimized speed-changing based algorithm SCEA is proposed.Experiments on real earthquake disaster events demonstrate the effectiveness and superiority of proposed work.
THE PRACTICE AND EFFECT ANALYSIS OF MIND MAPPING AND MICRO-CLASS IN BASIC BIOCHEMISTRY EXPERIMENT TEACHING

15Nov 2019 THE PRACTICE AND EFFECT ANALYSIS OF MIND MAPPING AND MICRO-CLASS IN BASIC BIOCHEMISTRY EXPERIMENT TEACHING Liang liqin , Xue ruiting , Yang rui and Huang yating College of life science, Shanxi normal university, Linfen 041004, China
Construction Technology of Namghar of Assam, India

Namghar is the identity of the Assamese Community. Namghar tried to make unity among people. It is a part and parcel of the Ek Xaran Nava Vaishnava religion promoted by Srimanta Sankardeva. Sankardeva tried to establish a powerful community by eliminating all the differences regarding cast and creed and distributing the light of education among the people at a time when Assam had faced a pathetic condition on religion. Namghar and Satra’s were established aiming at promoting literature, music, dance, drama, sculpture, and architecture along with promoting religion. According to prominent scholar Dr. Maheswar Neog, Nam, Deva, Guru, and Bhakat are the base of Nava-vaishnava religion. The bhakats from the rural areas follow their life along with serving the God and the Guru. They were able to promote the Nava- Vaishnava religion among the people while living a strict spiritual life. Therefore to Nurture Vhaisnav’s culture and worship the God Namghar was established. The impact of the rules and regulation followed in the Namghar have certain impacts on the villages all over Assam. Different festivals are celebrated in Assamese society. In the same way, there are different festivals that are celebrated in the Namghar. They were originated with the root relating to Navavahsinava religion. For example- Tithi of Sankardeva and Madhavdeva, Ankiya Nat, Rash, Janmastami, Fakuwa, Pal Nam, Bar Sabah, Gokhai Bihu are Celebrated in the namghar. And namghar plays a vital role in Assamese social life from various perspective. These include- establishing equality and promoting dignity to everyone, Acting as a village parliament, solving dispute, centre for planning and reform, preserving ethnic culture, etc. Besides it works as a forum for shelter during different hazards. From the constructional point of view, it is a very unique method used, which is traditionally dispatched among the Assamese community. This paper tried to discuss various technology and constructional system of Namghar.