Reviewerly/exHarmony huggingface dataset:
PROVOCATIONS IN ADVERTISING: SOCIAL PRECURSORS AND IMPLICATIONS

Being fraught with risks, postmodernity forces social actors not only to rationalize their activities and search for fleeting opportunities but also resort to means of influence that help achieve their targets in the minimal amount of time. The field of advertising is not an exception, as copywriters are in constant search for tools that could help them in maximizing the impact of their advertisements and targeting their potential addressees.The paper aims to analyse the provocative aspects of advertising; its aim is to see how provocative techniques may be applied, what social implications they might have, and in which cases such advertising could prove to be dysfunctional in nature. It further considers the negative as well as the positive aspects of provocation in advertising.The methodology of the research is based on case study approach, analysis of creolized advertising materials, the explicit and implicit means of their influence in particular. The potential impact that may be exerted is considered through the analysis of semantics.The paper outlines the area of application of provocation and provocative strategies in advertising as well as the impact it exerts on the addressees in the process of social interaction. Subsequently, it sheds light on how provocation is used in modern advertising. It concludes that negative provocation may be used in advertising to manipulate the addressees’ actions and galvanize them into buying a product or a service, whereas some types of advertising such as social advertising may benefit its addressees and serve the purpose of resolving a number of social issues.
[Dynamic identification of double-early rice heat and its spatiotemporal characteristics in Jiangxi Province, China].

Constructing evaluation indicator for rice heat damage based on hot weather process (occurring time of hot weather and its duration) can realize the dynamic identification of rice high-temperature heat damage level, which is of great importance to the precisely monitoring, warning and assessment of rice heat. Meteorological, historical disaster and phenological data on double-early rice in Jiangxi Province were integrated to retrieve the historical heat of double-early rice. The dynamic index of high temperature heat injury on early rice based on high temperature weather process was constructed based on K-S distribution fitting test and confidence interval method. The results were verified with reserved independent samples. A rice heat index (M) was calculated, with which rice heat risk was analyzed. The results showed that the starting time and duration of hot weather were key factors affecting the occurrence of rice heat damage, with the effect of starting time greater than the duration. Light, moderate, and severe rice heat for 3-5 d was identified at 10-12, 5-9 and 2-4 d after heading respectively. Similarly, light, moderate and severe rice heat lasting for 6-8 d and >8 d started at 11-18, 8-10, 1-7 d after heading and 12-18, 8-11, 0-7 d after heading respectively. The coincident rate of rice heat damage indicator was 73.7%, and that verified to be identical or one grade different was 89.5%. The linear tendency rate of M from 1981 to 2015 was 0.04·a-1, with abrupt change from low to high around 1999. A high M (>0.18) was mainly found in the middle and the northeast part of the study area. Increasing trends of a high M occurred in the middle, northeast and south of Jiangxi, with tendency rates > 0.04·a-1. In general, the indicators constructed in this study realized the dynamic identification of process-based rice heat. The middle and northeast parts of Jiangxi Province were identified as high risk areas for double-early rice heat.构建考虑高温天气过程(包括发生时间、持续日数)的水稻高温热害指标,可以实现对水稻高温热害等级的动态判识,对精准监测、预警与评估水稻高温热害意义重大。以江西早稻为对象,利用气象资料、早稻高温热害灾情史料和生育期资料,反演历史早稻高温热害,采用K-S分布拟合检验和置信区间方法,构建基于高温天气过程的早稻高温热害动态指标,并采用预留的独立的早稻高温热害样本进行检验验证。在此基础上,计算江西各站点早稻高温热害指数(M),并分析水稻热害。结果表明: 高温天气过程起始时间、持续日数是影响早稻高温热害发生程度的关键因子,其中,起始时间的影响大于持续日数。3～5 d早稻轻、中、重度高温热害的起始时间阈值分别为抽穗后第10～12、5～9、2～4天;6～8 d早稻轻、中、重度高温热害的起始时间阈值为抽穗后第11～18、8～10和1～7天;>8 d早稻轻、中、重度高温热害的起始时间阈值为抽穗后第12～18、8～11和0～7天。指标验证完全一致的吻合率为73.7%,完全一致及相差1级的吻合率为89.5%。1981—2015年,M的线性倾向率为0.04·a-1,1999年左右发生由低到高突变;M高值区域主要位于江西中部和东北部,M>0.18;江西中部、东北部和南部地区M值呈显著增加趋势,线性倾向率均大于0.04·a-1。总体来说,本文构建的指标实现了基于高温天气过程的早稻高温热害动态判识,江西中部和东北部是早稻高温热害的高风险区域。.
FORECASTING HARGA SAHAM MENGGUNAKAN METODE SIMPLE MOVING AVERAGE DAN WEB SCRAPPING

Abstract: The fluctuative of stock prices in a secondary market provide the possibility for investors/traders to gain profits through the difference in stock prices (capital gain). In order to obtain these benefits, it is necessary to analyze before buying shares, through fundamental and technical analysis. One of several methods in Technical Analysis is Simple Moving Average Method. This method can be used to predict (forecast) stock prices by calculating moving average of the stock price history. Historical stock prices can be obtained in real time using the Web Scrapper technique, so the results is more quickly and accurately. Using the MAPE (Mean Absolute Percent Error) method, the level of accuracy of forecasting can be calculated. As a result, the program was able to run successfully and was able to display the value of forecasting and the level of accuracy for the entire data tested in LQ45. Besides forecasting with a value of N = 5 has the highest level of accuracy that reaches 97,6 % while the lowest one is using the value of N = 30 which is 95,0 %.
The behavior of private entrepreneurs in an imperfect financial market

In this paper, we investigate the behavior of private entrepreneurs when an instrument that mitigates financing constraints is introduced in an imperfect financial market. If entrepreneurs face limitations on renting capital, it is optimal to accept the relaxation of financing constraints to overcome this obstacle to growth. However, acceptance involves a reduction in the efficiency of production. In this simulation exercise, we show that private entrepreneurs are likely to accept the relaxation of financing constraints to enable rapid growth in the early stages of the reform; however, they will reject it when the deterioration in production dominates the benefit from capital financing.
A Modified Framework for Reversible Digital Image Watermarking

In this paper the investigation has been made to propose a modified scheme for reversible digital image watermarking for spatial domain framework. In this suggested scheme, input image is divided into 4 X 4 blocks. To embed a more image in terms of watermark into a cover image L-level scalar Quantization method is applied. Further, to compress the remainder of the cover image we have proposed algebraic mean method to make it more robust. Reversible Watermarking is an important category of watermarking schemes, It not only can make stronger the ownership of the original media but also can completely recover the original media from the watermarked media. This type of lossless recovery is compulsory in sensitive imaging like medical and military images, because these kinds of imagery do not allow any losses. The aim of this paper is to define the purpose of reversible watermarking and reflecting its performance over copyright and security to digital image.
A Contemplate on MultiFactor Authentication

As a part of the protection among distributed systems, numerous services and resources want protection from unauthorized use. Remote authentication is that the most ordinarily used technique to work out the identity of a distant shopper. This paper presents the aim of two factor authentication, which is to magnify the strength of authentication grounded on password by having the need of user to give an extra validating strand and it also investigates the usability of two factor authentication, its comparison with other types of authentication being used in market.
PENGARUH PELATIHAN, JIWA KORSA DAN KERJA TIM TERHADAP KINERJA PRAJURIT BERBASIS TEKNOLOGI INFORMASI

Special Forces of the Indonesian Air Force, is a force that has special advantages. The 'more special force' was called the Bravo 90 Unit, whose members consisted of a number of selected Paskhas personnel. The performance of this unit is very much needed in the context of completing tasks to support the main tasks of the Air Force. The purpose of this research is to look at performances that can be influenced by various variables including the training variables, the soul of the body and teamwork. Research using quantitative methods and path analysis techniques with survey design. The development of information technology can be used as a supporting device in achieving the desired performance. The results showed there was a positive direct effect of training on soldier performance, esprit de corps on soldier performance, teamwork on soldier performance, training on teamwork, esprit de corps on teamwork, and teamwork on esprit de corps. So that the variables that can affect the performance need to be fostered continuously cohesiveness in order to improve the performance of information technology-based soldiers.http://dx.doi.org/10.17977/um021v4i22019p125
PEMBERDAYAAN UKM BATIK SENG DESA SENGGURUH KABUPATEN MALANG

Batik is one of the original types of Indonesian culture, even UNESCO has determined Batik as one of the world's cultural heritages. In its development came a variety of batik motifs including the ways or processes used in producing batik. Indonesia recognizes batik as a form of art work done by humans by giving certain patterns to plain cloth by waxing wax to block color, which is what is known as batik cloth. The making of written batik requires special expertise because the process must be carried out through certain stages. The quality of the finished batik cloth is very dependent on the skills of batik craftsmen to go through each stage of the batik process. Sengguruh Village, Malang Regency has a Batik Written UKM which has quite potential to develop its business. But the lack of the number of crafters possessed is an obstacle in producing written batik. Another obstacle experienced is the lack of understanding of written batik craftsmen to each stage of the process that must be passed. The results of the written batik SOP training provide new knowledge and provide deeper understanding to the batik crafters, so that when the batik process is passed well it will produce batik cloth which is also better in quality.
EarthquakeAware: Visual Analytics for Understanding Human Impacts of Earthquakes from Social Media Data

In this paper, we propose EathquakeAware, a visual analytics system for social media visualization. Our system supports analyzing geo-tagged messages from different perspectives, including location, keyword, account. It can summarize the evolution patterns of topics and reveal the discussing trend of different keywords to help evaluate situations in different regions. We take VAST Challenge 2019 Mini Challenge 3 as case studies to demonstrate its effectiveness in a fictitious analysis scenario.
Implementation of Image Enhancement Algorithm for Image Forensics using Mathlab

The purpose of this journal is to explain the implementation of the image enhancement algorithm for image forensics. Image Forensic deals with the types of digital evidence in the form of digital image files. One of the most commonly used digital devices in providing digital evidence for forensic analysis is CCTV (Closed-Circuit Television). CCTV images have a low quality such as noise, blur, lack of light intensity, etc., so that the image must be enhanced so that forensic analysis can be done. To enhance image quality, an application is needed by applying the image enhancement algorithm. The algorithm applied to the application is a Low Pass Filter to increase low pixel intensity, High Pass Filter to increase high pixel intensity, Median Filter to replaces the original pixel value with the pixel center value of the image, Mean Filter to replaces the original pixel value with a value the average pixel of the image, the Gaussian Filter for reducing noise in the image, the Wiener Filter to reduce blur in the image, the Histogram Equalization spreads the image histogram value, Contrast Stretching to stretch the contrast intensity in the image and Bicubic Interpolation to increase the image size and resize the image. In this study, the application was built using MATLAB and the testing process for each algorithm was based on Timing-Run, MSE and PSNR parameters. From the test, the average MSE value is 1058.512083 and the PSNR value is 541.61875 dB, which means that the resulting image has a fairly high level of similarity and the average time needed to process the algorithm for the image is 0.114627915 seconds.
Spurring Economic Growth through Human Development: Research Results and Guidance for Policymakers

Education, general health, and reproductive health are key indicators of human development. Investments in these domains can also promote economic growth. This paper argues for the importance of human development related investments based on i) a theoretical economic growth model with poverty traps, ii) a literature review of evidence that different human development related investments can promote growth, and iii) own empirical analyses that aim at estimating the relative contribution of different human development indicators to economic growth across heterogeneous growth regimes. Our results suggest the following associations: (i) a one-child decrease in the total fertility rate corresponds to a 2 percentage point (pp) increase in annual per capita GDP growth in the short run (5 years) and 0.5 pp higher annual growth in the mid to long run (35 years), (ii) a 10% increase in life expectancy at birth corresponds to a 1 pp increase in annual GDP per capita growth in the short run and 0.4 pp higher growth in the mid to long run, and (iii) a one-year increase in average educational attainment corresponds to a 0.7 pp increase in annual growth in the short run and 0.3 pp higher growth in the mid to long run. By contrast, infrastructure proxies are not significantly associated with subsequent growth in any of the models estimated.
Deploy Docker Container Host on Azure Virtual Machine

In this chapter, we will focus on deploying a Docker container host inside a virtual machine in Microsoft Azure. We will deploy both Windows and Linux container hosts using Microsoft Azure–certified images that were tested and approved by Microsoft. After deploying our hosts, we will learn how to manage them and cost-effectively run them.
Publisher Correction: Rapid Adaptation to the Timbre of Natural Sounds

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
A GRASP approach for Symbolic Regression

In this paper a metaheuristic approach is proposed for solving the problem of symbolic regression for function approximation. The focus is on developing a method that is easy to implement and can be used to generate initial populations for more advanced metaheuristics. This is achieved by first developing a greedy heuristic which expands (adds terms) generated formulas while increasing the quality of the approximation. This basic algorithm is extended to the Greedy randomized adaptive search procedure (GRASP) by adding randomization and a local search. The local search consists in removing unnecessary terms from the generated formulas. The performed computational experiments show that the GRASP approach, in case of grammars having a limited number of terminal symbols, substantially out performs algorithms based on the artificial bee colony algorithm and ant colony optimization.
An Architectural Approach for QoS Aware Video Scheduling for Transcoding in Clouds

Due to the heterogeneous networks, devices, and user preferences different versions of a source video concerning resolution, frame rate, etc. are required to be generated. Transcoding is the process of converting video file from one format to another format, which is a time-consuming and challenging task. A large-scale cluster of transcoding servers is necessary for video transcoding of a large number of on-demand videos. In addition, a large amount of space is required for storage of multiple transcoded versions. Cloud computing presents a scalable framework for online video transcoding and infrastructure as a service (IaaS) cloud provides virtual machines (VMs) for creating a dynamically scalable cluster of servers. We propose a cloud-based multicore heterogeneous scheduling framework for allocation of different types of video to different types of VMs by extending the existing work on heterogeneous multicore scheduling such a way that the efficiency of the cloud based transcoding system is improved. Further we improve the proposed model by incorporating QoS requirements of video transcoding where video delay and video rejection are reduced to almost zero. The experimental results reveal that the proposed model achieve nearly 100% throughput maintaining high quality of the video by reducing video delay to almost zero.
Cloud Security Vulnerabilities and Solution Model

Cloud computing is the revolution and solution to the computing world which has paid further attention as an emerging network storage technology. Cloud computing has enormous adaptability in terms of demand or availability of resources. The organization prefers cloud storage services to reduce the overhead of storing data locally. Yet, Data security and privacy are the major issues in cloud computing. Although security is still one of the critical challenges in the world of cloud computing. The security concerns comprise the loss of vital information and privacy loss of any individual who uses cloud networking. This research reviews the cloud Security, its vulnerabilities and proposes a three-layer model of AES encryption for Cloud Computing Security and RSA is used to hide the key of the AES. According to our research, this model is one of the most compact encryption which consumes less storage space with short calculation time. A detailed review of cloud security concerns and resolutions has been discussed in this paper.
Effect of Obesity on Cognitive Function: A Comparative Study of Cognitive Level in Normal Weight and Obesity Students at Senior High School in West Java Indonesia

The purpose of this research was to determine the relationship of cognitive function between students in normal and obesity categories in high school.The method used in this research is descriptive quantitative research.The population in this study were high school students in Subang City.The technique in this study uses Saturation Sampling and Simple Random Sampling techniques.The samples that have been determined in this study are 44 students high school using descriptive research designs.The instruments used in this study are Growth Chart, grid concentration exercise, digit span, and TPA (Academic Potential Test).The results of the analysis, the value of Tcount for data with Equal Variances Assumed is 2.409 with value of probability (p-value) is 0.02.Based on the data from the analysis, the value of Tcount (2.049) with a probability value (0.020) is smaller (<) than 0.05.Then H0 is rejected, so it can be concluded that there are significant differences in cognitive functions between normal student and obesity categories.
The algorithm of image super-resolution reconstruction via separable dictionaries

Traditional sparse representation-based super-resolution algorithms need to divide images into patches and then stack them into columns. This operation ignores the intrinsic 2D structure and spatial correlation inherent in patches. In order to fully exploit 2D spatial correlation in image patches, we combine the sparse representation ability of the separable dictionary in both the horizontal and vertical directions, and propose an algorithm for image super-resolution based on a separable dictionary. The experimental results show that our proposed algorithm not only improves the efficiency of image super-resolution, but also improves the PSNR and SSIM (i.e., about 0.2-dB PSRN better than traditional methods, and 0.01 SSIM better than existing methods).
Using Smart Personal Assistants for Online Learning Activities: What benefits can we expect?

With the increasing popularity of massive open online courses, universities are able to reach a wider audience without restriction and for comparably low costs. However, in these learning environments, educators are hardly able to offer individual support to their learners. According to learning theory, the lack of individual support in online learning environments can considerably limit learning success. In our paper, we argue that new emerging Smart Personal Assistants (SPAs) have the capabilities to address this problem by building up an interaction with the learner similar to a human tutor. Drawing on the concept of the Interactive, Constructive, Active and Passive (ICAP) Framework, we designed an experiment with 76 participants, where one group received text-based learning materials and the other group received additional scaffolds from an interactive, text-based smart personal assistant. Posttest-score comparisons revealed that learners interacting with the SPA were able to achieve higher learning outcomes.
[Research on Risk Control of Hysteroscopy and Laparoscopy Based on Cloud Computing].

This paper discusses the use of Medatc System for the inspection and failure statistics of hysteroscopy and laparoscopy equipment. We add up our hospital one year of hysteroscopy and laparoscopy repair failure about 200 cases, more than 20 cases of patrol inspection. The equipment is inspected by professional quality control tools. The purpose is to summarize experience, improve maintenance efficiency, reduce the risk of using instruments, and serve clinical departments well.
The Students’ Mastery of Indonesian Affixes in Telling Story based on Age

Affix mastery is the ability of individuals to master prefixes, infixes, suffixes, confixes, and combinations of affixes. Child language mastery is related to the age aspect. This study aims to describe the mastery of Indonesian affixes based on age. This type of research is descriptive cross sectional with 30 junior high school / MTs students aged 12, 13, and 14 years as research subjects. Data collection techniques used were listening, field note, recording, and testing. The results of this study indicate there is an increase in mastery of Indonesian affixes by students aged 12, 13, and 14 years both in terms of type of affix, frequency, and value of affixes. Increased stable affix mastery based on age is found in prefixes and affix combinations. Based on this, it can be concluded that each age of the child increases, so does the level of mastery of the child's affixes.
Analyzing Similarities between Word Frequency Distributions of Various Corpora to Find Effective Features for Complex Word Identification

Complex word identification (CWI) is a fundamental educational natural language processing (NLP) task that identifies complex words in a text for use in many further applications, including text simplification. Word frequency features from a general corpus were known to be effective in the identification of complex words. Recent studies have independently discovered that, when used in combination with word frequency features from a general corpus, word frequency features from some types of non-general corpora, namely, a movie subtitle corpus (Peatzold and Specia, 2016) and a learner corpus (Kajiwara and Komachi, 2018), improved the CWI accuracy. As long as the reason why this combination of general and non-general corpora improved accuracy remained unclear, the search for effective corpora combinations and other types of effective corpora had to be exhaustive. To contribute to a non-exhaustive search, this study analyzes similarities among the word frequency distributions of various corpora, which can be conducted in an unsupervised manner. In experiments using a CWI shared task dataset, our method successfully explains why the previously reported combinations of corpora were effective, while finding effective corpora combinations.