Reviewerly/exHarmony huggingface dataset:
Integrity Risk in The Customs Automation System

The major benefits of transforming the Customs manual system into automation is making data processing faster, reduce time delay and increase transparency for the international logistics management.A robust digital system of automation by default is assumed to be able to barricades any mistake made by parties involved in the process of declaration, assessing, and releasing goods from the Customs control.In this paper, we focused on the Integrity issues concerning the result of using the Customs Information System (CIS) in Malaysia as it is the only automation software used by The Royal Malaysian Customs for processing and releasing goods under its control.As a semi-digital system, CIS has its advantages and disadvantages that may affect integrity issues among Customs officials who administrated it.In this article, we used 795 samples of analytic data for imported prefabricated used vehicles (Toyota Wish) mined from CIS databank to examine whether this output data is administrated consistent, or otherwise, deteriorate with the requirements stipulated under the Customs importation rules and circulars in force?Our focus of analyses will be on the examination of how far the items in K1 electronic forms, namely tariff code declaration, vehicles first registration date, CIF value, imposed tax rates, physical check of vehicles and approval permit is consistent with the Customs Taxation law and Circulars.The finding shows that many output data are inconsistent with the current tax laws and circulars in force.These include 28.05% inaccurate samples for tariff code declaration, 80.63% that are not declared the vehicles first registration date in the origin country, and 98.62% are declared false or wrong CIF values.We found that CIS also failed to include the detailed records of vehicles year's made, VIN, seating capacity and the engine type as required by K-1 form.The output data also shows that there are 3% of samples charged with an inaccurate excise duty rate for different types of vehicles models or variants.In the physical inspection records, data showed that 100% of prefabricated vehicles brought in were not marked as inspected via CIS module.Meanwhile, for AP records, 73.21% of samples do not have valid approved permits and were classified as Record Not Found (RNF), while 7.05% have expired AP.This evidence shows that CIS is a weak automation software and can be manipulated by the parties involved in the transaction process, either Customs officials or company agents.The main disadvantage is the design of the software that permit users to input value that may be incorrect, inaccurate,
IOT BASED HEALTH MONITORING SYSTEM

The proposed project can collect and send patient’s health data to an IoT cloud server such as Thingspeak where realtime health status of the patient can be recorded and monitored in a remote location where a healthcare professional ispresent. This iot based health monitoring system is normally used to collect temperature pressure level etc and keepsmonitoring each and every hour.
Calibration and Metrology

Accurate and repeatable measurements require adequately calibrated good quality measurement equipment. Current regulations and standards do not specify accuracy requirements as processes and accuracy specifications vary widely across the industry. Devices that measure cycle parameters should be routinely calibrated. Written procedures should be established to ensure that these devices are maintained in a calibrated state. Because of the large number of topics covered by the current standards and regulations, the chapter focuses on the practical issues of calibration based on the assumption that the organization has a quality management system that is compliant with applicable requirements. Calibration is used to maintain measurement errors within the acceptable limits needed to ensure that product quality consistently meets predefined product quality specifications. Calibration of the Measuring Chain should be done with the sensors connected to the data logger/recorder and installed in the sterilizer via the feed through and out through the open sterilizer door.
Determining the Relative Difficulty of English Writings by Fuzzy Reasoning and Its Application to Selecting Teaching Materials

A carefully created linguistic program is used to assess the writing styles of TIME and Newsweek. &nbsp;Because of their widespread popularity, these two news magazines are chosen. The findings revealed that the frequency curves for words and characters have remained unchanged for the previous 60 years.&nbsp; It was also discovered that the frequency curves include specific inflection points that can be used to identify the genre of English works. &nbsp;Using fuzzy reasoning, the relative difficulty of the English writings may be determined by counting the percentage of required vocabulary for junior high and high school students in Japan. &nbsp;This paper is an experimental one which aims to seek a clue to estimate the degree of difficulty by applying fuzzy rules to the frequency data. &nbsp;The features of the characteristic curves are used to create fuzzy rules. &nbsp;It would be a useful index to use while choosing textbooks or supplemental readers. &nbsp
融入篇章信息的文学作品命名实体识别(Document-level Literary Named Entity Recognition)

“命名实体识别是文学作品智能分析的基础性工作,当前文学领域命名实体识别的研究还较薄弱,一个主要的原因是缺乏标注语料。本文从金庸小说入手,对两部小说180余万字进行了命名实体的标注,共标注4类实体5万多个。针对小说文本的特点,本文提出融入篇章信息的命名实体识别模型,引入篇章字典保存汉字的历史状态,利用可信度计算融合BiGRU-CRF与Transformer模型。实验结果表明,利用篇章信息有效地提升了命名实体识别的效果。最后,我们还探讨了命名实体识别在小说社会网络构建中的应用。”
Recovery of vivid 3D percepts from 125 years of historical motion film and animation clips

Stereoscopy involves presenting two differentially-offset images separately to left and right eyes. This 2D image information is combined binocularly in the brain to generate 3D depth perception. We introduce the ability to recover and perceive dynamic 3D structure from certain 2D moving pictures, along with advantages of the method. Stereoscopic pairs and film sequences were generated from a wide variety of lateral tracking scenes, including: 1) dolly shots, especially 360 deg dolly arc shots, 2) lateral shots taken while driving, flying, boating, and traveling by rail, 3) ‘bullet time’ time sequence shots, e.g. from ‘The Matrix’, and 4) animations based on 3D models. These were scenes from classic motion pictures, or archival footage of significant historical events. Some demonstrations include 3D versions of the first known tracking shots (Venice, 1896), an early flight by the Wright Brothers (1909), Harold Lloyd’s famous clock scene from 'Safety Last' (1923), the Hindenburg’s last moments (1937), 'bullet time' animation from Speed Racer/MachGoGogo (1966), perigee and apogee images pairs of the moon and of the sun, and scenes generated while orbiting distant planets. In addition to the value of seeing historically important scenes in 3D, the method enables observers to infer depth structure and estimate distance when static monocular cues to depth are sparse or non-existent; it also breaks static forms of camouflage. Moreover, we demonstrate that binocular disparity sequences derived from dolly-arc tracking shots rotating around a subject can generate robust 3D perception, despite the common practice of avoiding such binocular convergence in the stereoscopy field (e.g., Gao et al. 2018 PLoS One). The method holds the potential to quantify real and perceived depth from motion parallax in historical and contemporary popular movie sequences.
Detecting Fake Faces in smart Cities Security surveillance using Image Recognition and Convolutional Neural Networks

There are expected to be millions of sensors and devices connected to the Internet in intelligent cities. Sensors in a variety of applications can generate a large volume of data. Connected cars are an important element of an intelligent city. Citizen safety is an important element of quality of life in a Smart City in new urban environments. The safety issue has been a significant concern for everyone for a long time. A violation of safety in private spaces has become a danger for all to stop. If traditional security systems feel a violation of safety, they sound a warning. Image processing in combination with a thorough understanding of convolutional neural networks to identify and classify images helps recognize a violation of an advanced model, thereby significantly improving future protection. Thanks to the ability to remove complex characteristics from images with accurate algorithms for facial and body detection. The output of specific machine learning is exceptional, particularly deep learning transition. In every field of science and technology, the use of such technologies to advance current systems and models will be an essential step forward. The two can do much more than is thought feasible when combined and used in the area of defence, and this paper seeks to do the same.
The Effects of Interaction Program for Respect of Children and Parents Each Other

The purpose of this study is to construct an interaction program for child respect and parental respect based on positive psychology theory and to verify the effectiveness of its application. In order to achieve the purpose of this study, the Golden Circle model, the TREASURE Talk coaching model, and the STOP model were reorganized to develop a 'heart flower' parental respect interaction program, and the experimental group was selected and implemented. Preliminary research was conducted for the development of parental respect programs for children and the suitability of expert groups was secured. For experimental research, 38 parents with elementary school children were collected and 19 each were organized as experimental groups and comparative groups. As a result of the study, a &quot;Heart Flower&quot; program consisting of nine sessions and an education and training system were developed to respect children and respect parents, and a measure of parental respect was formed to verify the effectiveness. As a result of the application of the developed program, the score of child respect and parental respect in the experimental group significantly increased, and the quality analysis of the harvest research by the experimental group also showed that the positive relationship between parents and children improved.
A Comparison of English Materials for Business Management and Information Technology Using Data Mining

The advancement of business management in the United States is intimately linked to the development of computers and network systems. There have been numerous management books published in English. If enough knowledge of the features of English in the field is acquired beforehand, reading of the texts will become easier. In this paper, several English books on management and computers are investigated to compare them in terms of metrical linguistics. In summary, a C++ programme is used to explore the frequency characteristics of character and word appearance. An exponential function is used to approximate these qualities. To determine the difficulty level and K-characteristic of each content, the percentage of Japanese junior high school necessary vocabulary and American basic vocabulary is computed.
A Study on Feature Analysis of English Guidebooks for Hokuriku Region in Japan Using Data Mining

The Hokuriku area of Japan includes Ishikawa Prefecture. One of the challenges facing Ishikawa's tourism is increasing the number of visitors from other nations. It should be important to provide “language service” to international tourists in order to tackle this problem. In order to understand the state of language service to foreign tourists, this study investigates what linguistic characteristics can be found in English guidebooks for Kanazawa, the capital city of Ishikawa, and Toyama, which is also in Hokuriku, and compares them to the official guidebooks published by the Japan National Tourist Organization for Tokyo, Fuji, Kyoto, and Hida. In summary, a C++ software is used to explore the frequency characteristics of character and word appearance. An exponential function is used to approximate these qualities. To determine the difficulty level and K-characteristic of each content, the percentage of Japanese junior high school necessary vocabulary and American basic vocabulary are computed. As a result, it is obvious that English guidebooks for Hokuriku have a similar trend in terms of character-appearance to literary texts.Furthermore, the K-characteristic values for them are high, and the difficulty level, particularly for Kanazawa, is low.
Virtual Tour to Java Mosque and Royal Grand Palace as Alternative Tourism during the Covid-19 Pandemic

The Covid-19 virus outbreak is considered as a disaster that has a massive impact and resulted in changes of human life. The tourism industry has also been severely affected by this virus outbreak, still however behind the pandemic, there is a positive value that can be gained including the opportunity of managing alternative tourisms i.e. virtual tourism model. The development of information and communication technology has helped the advancement of virtual tour activities for time being which brings benefits such as it has been used as a tourism promotional media and in maintaining tourism life. This paper presents a virtual tour as an alternative platform during the Covid-19 pandemic. The tours are directed to Java Mosque and Royal Grand Palace which are both located in Thailand. The existing platforms are explored for the tours in order to get details information regarding the destinations. In summary, it is shown that the virtual tours have helped tourists in collecting valuable information prior visiting the real destinations.
Economic Rational of Current Demonetization Practice of Ethiopia and its Challenges

Governments in developing country like Ethiopia demonetize its currency for economic and political reasons.Hence, the main objectives of this paper is to assess the economic rational of demonetization in Ethiopia and its existing challenges.The study employed secondary data obtained from IMF, FAO, ITO and NBE from 2006 to 2020 and observed facts .The data is presented in line graph and bar graph and also analyzed by using descriptive statistics.The finding of this paper reveled that running inflation, increase in public debt, prevalence of high corruption, high budget deficit, low rate of saving and low tax ratio are some of important rational to apply currency demonetization in Ethiopia.It is also found that the success of meeting its stated objectives in Ethiopia is challenged by presence of predatory institutions, existing political unrest, desert locust outbreak, internal displacement and rising trend Covid-19 pandemic and weak implementation capacity of government officials and experts.This paper advice that government should strengthen implementation capacity of government officials, ensuring accountability and transparency among executive bodies and experts and finally the government due attention in building strong developmental institutions before applying financial move like demonetization for the future.
High Schooler Speech in the Age of the Internet

Supreme Court cases treat students as citizens who retain free speech rights, but the Justices also recognize disciplinary discretion is necessary to run elementary school and high school programs and courses. Categorical analysis is as insufficient here as it is in college campus settings for adjudicating the suppression of student voices. High school students are in the period of life, straddling childhood and adulthood, when special considerations about their blooming maturity and educational needs offer context to resolution.
Effects of phonological and visual-spatial working memory load on Boundary Extension.

Mental expansion of scenes’ spatial representation resulting in the memory error referred to as Boundary Extension had been demonstrated using multiple types of tests. People show a consistent tendency to remember having seen a larger expanse of a scene than they actually saw. As there is substantial evident that this robust memory error is a manifestation of underlying processing for spatial layout, it is interesting to examine what effects various concurrent tasks performed while perceiving scenes may have on this processing. In a series of experiments, we compared performance in a control condition, when participants just tried to memorize the scenes, to performance when additional tasks were performed. In these conditions, participants viewed pictures of scenes while performing secondary tasks, such as judging the layout of the scene (hilly/mountainous or flat), searching for people in the scenes, repeating a list of grocery items out loud (verbal task) and describing a list of groceries (verbal+ imagery task). After the initial presentation, participants were presented with versions of the same scenes again, randomly varying the expanse of the scene presented. They were asked to adjust the boundaries of these pictures until the image matched their memory from the original presentation. Replicating prior results with new images, significant boundary extension was obtained in the control condition, when participants simply studied the pictures. The addition of a search task (both for people and mountains) still resulted in Boundary Extension. However, when participants were instructed to also carry out the verbal tasks Boundary Extension was eliminated. Results suggest that, despite the apparent automatic expansion of scene layout, this expansion is affected by high levels of working memory load, including phonological loop load.
E-resources internships in the time of COVID: A virtual internship case study at UNC Charlotte <i>By Liz Siler, University of North Carolina at Charlotte, Bethany Blankemeyer, University of North Carolina at Charlotte, and Talisa Crawford, East Carolina University</i>

This is a case study of the University of North Carolina-Charlotte's first experience with virtual internship, and reflects on how library staff can work together to create a mutually beneficial learning experience.
Music Hugging Robot Based on Arduino

Depression is the most common depressive disorder and is also prevalent worldwide.People with depression may experience symptoms such as depressed mood, anxiety, delusions, malaise, and may even develop suicidal tendencies or behaviors.This paper expects to provide a new approach to depression counseling using robotics.With the increasing importance of robots in human life, people are beginning to pay attention to other capabilities beyond their traditional intelligence, such as empathy.Based on the field of emotional service robots, this paper designs and manufactures a service robot that can play soothing music and provide warm hugs to patients with depression, using Arduino microcontroller as the control core, and C++ programming and mechanical design techniques.The music hugging robot combines artificial intelligence with humanistic care to heal patients with music and hugs, which can alleviate patients' depression to some extent.It is believed that this technology can provide intelligent assistance to counselors and their related personnel.
Colonization of the Internet

The internet was introduced to connect computers and allow communication between these computers. It evolved to provide applications such as email, talk and file sharing with the associated system to search. The files were made available, freely, by users. However, the internet was out of the reach of most people since it required equipment and know-how as well as connection to a computer on the internet. One method of connection used an acoustic coupler and an analog phone. With the introduction of the personal computer and higher speed modems, accessing the internet became easier. The introduction of user-friendly graphical interfaces, as well as the convenience and portablility of laptops and smartphones made the internet much more widely accessible for a broad swath of users. A small number of newly established companies, supported by a large amount of venture capital and a lack of regulation have since established a stranglehold on the internet with billions of people using these applications. Their monopolistic practices and exploitation of the open nature of the internet has created a need in the ordinary person to replace the traditional way of communication with what they provide: in exchange for giving up personal information these persons have become dependent on the service provided. Due to the regulatory desert around privacy and ownership of personal electornic data, a handful of massive corporations have expropriated and exploited aggregated and disaggregated personal information. This amounts, we argue, to the colonization of the internet.
An Attempt to Task-based Teaching in Intensive English Reading Course in Higher Vocational Education

With the continuous progress of the time and the continual development of society, the frequency of international communication has been increasing.So higher vocational education must pay more attention to improve students' English ability.And the most important thing is to develop communicative ability of students' language.Now this thesis takes the English reading teaching in the higher vocational English as the research object, and first analyzes the current situation of English reading teaching, and then finds that there are a series of problems such as lack of excellent students, fuzzy teaching goals for teachers and rigid teaching methods.Therefore, after analyzing, this article starts with the analysis of the task-based teaching method, and puts forward the application research of task-based teaching method in intensive English reading in higher vocational education, so as to effectively improve the teaching quality of English.
Semantic Extractor-Paraphraser based Abstractive Summarization.

The anthology of spoken languages today is inundated with textual information, necessitating the development of automatic summarization models. In this manuscript, we propose an extractor-paraphraser based abstractive summarization system that exploits semantic overlap as opposed to its predecessors that focus more on syntactic information overlap. Our model outperforms the state-of-the-art baselines in terms of ROUGE, METEOR and word mover similarity (WMS), establishing the superiority of the proposed system via extensive ablation experiments. We have also challenged the summarization capabilities of the state of the art Pointer Generator Network (PGN), and through thorough experimentation, shown that PGN is more of a paraphraser, contrary to the prevailing notion of a summarizer; illustrating it's incapability to accumulate information across multiple sentences.
The Extent of Pilgrims and Umrah Performers' Reliance on the Mobile Exhibition Using Hologram Technology During the Performance of the Rituals

The purpose of the current study was to reveal the role played by mobile exhibitions such as modern techniques using stereoscopic imaging technology (zebra and hologram) in enriching the knowledgeable experience of the pilgrims and Umrah visitors by providing awareness and guidance and contributing to the performance of their rituals from the beginning of their arrival to the end. A random sample of 400 Umrah performers and pilgrims (200 males and 200 females) were selected. The study used quantitative research methodology in the form of a survey. Results indicated that the dependence on hologram technology increased the level of awareness and guidance between the pilgrims preforming the rituals in the two holy mosques.