Reviewerly/exHarmony huggingface dataset:
A high-accuracy nonlinear phase error compensation method

In the phase measuring profilometry, the phase measuring accuracy could be heavily affected by the nonlinearity effects of the projecting and imaging devices. Therefore, it is very important to reduce the nonlinear errors fast and efficiently. An analytic model of nonlinear errors is introduced. Then we propose a phase compensation method which is based on the accurate mathematical model of the phase error. The proportion of each harmonic component is collected by using a large-step phase-shifting algorithm to measure a reference plane. Then the phase errors of the measured object could be compensated by an iterative algorithm. The experimental results show that the proposed method can realize nonlinear error compensation effectively and improve the precision of phase measurement. Meanwhile, since all the harmonic components are pre-calibrated, there is no extra fringe needed, which can meet the requirements of fast and real-time measurement.
Peningkatan Kenyamanan Pelanggan dengan Sistem Customer Relationship Management (CRM)

In a business / company engaged in health both hospitals, clinics, practice requires something that can entice patients. In order to be comfortable and get facilities that can make patients loyal to treatment. One of the most supportive systems is the construction of an information system website that can facilitate patients and companies in carrying out their activities and can establish good communication and get reciprocal relationships between patients and doctors. Smile Dental Care is a dental clinic specializing in braces installation in the city of Padang, West Sumatra. The purpose of this research is to apply Customer Relationship Management (CRM) to improve the relationship between patients and doctors, so that they get comfortable with each other. The results of this study are the creation of an information system website, which is useful to support the improvement of Smile Dental Care, and provide excellent service to patients.
The alleviation of terrain pollution: A web-based Android App contributing to terrain recovery

Abstract To present the terrain’s pollution circumstances nationwide more directly and contribute to our further recovery solutions, we design an Android app to provide convenience for both clients and regulators. For clients who are using their land and want to find solutions for their possibly polluted land, our app can visualize their land information and they can submit recovery request. And for regulators who design solutions, our database can visualize all the requests for recovery and help them decide the most urgent request. In our work, we first design the web front-end of our app on Android Studio (a platform for developing apps), which mainly consists of three parts, the register and login part1, the information altering part2 and the request submit part3. Part1 enables clients to register and login by entering their username and password, Part2 allows clients to update their land information in the database, Part3 can record each client’s request (consists of land location, request time and pollute-rate) and save it at the database in web back-end. Then, we use mysql to construct our database in the back-end. Our database contains three tables, table1 for user information (like the username, password), table2 for land information (like the land location, land moisture, land PH, land heavy metal amount), and table3 for recovery requests. Finally we use some functions in JSP (a programming language for dynamic web application) on IntelliJ IDEA (JetBrains program platform) to connect the front-end and back-end to exchange the information. After the designing work, we put our app into practice in lab condition. Most feedback are positive, but crush problems happen sometimes, which inspires us to make further optimization. Therefore, our system has a broad application prospect.
Analysis on Grammatical Error of Students’ English Writing in Descriptive Text at the Tenth Grade of SMA N 8 Kota Jambi Academic Year 2018/2019

This research was done to analyze the grammatical error in writing descriptive text made by tenth grade students in SMA N 8 Kota Jambi Academic year 2018-2019. The method of the research was qualitative method. The sample of the research was tenth grade students of science at SMA N 8 Kota Jambi. Then to get sample of this research, the researcher used random sampling technique. The data was collected by using written test. The finding of the research showed that  tenth grade students of science often make grammatical error in their writing, the error are analyzed based on four types, there are Omission, Addition, Misformation and Misordering. After analyzing the data that got from 37 students, the researcher found out 147 total errors white decide to highest frequency and lowest frequency. The result showed that the highest frequency grammatical error made by students is Omission which 46,93% and the lowest frequency grammatical error made by students isaddition which is 6%. The cause of error in grammatical because learning a foreign language is not the same as learning the mother tongue, it is not the difficulty of the new forms of the language, but mainly by the specific conditions created by customs in native language. Keywords : Analysis, Grammatical Error, Writing, Descriptive Text.
Research Guides: FIND YOUR OER / ALTERNATIVE CLASS RESOURCES: Archer College of Health and Human Services

Faculty are using more OER / Alternative textbooks and other resources. Use this guide for an easy way to find your academic department, your class and your OER and alternative textbooks and more.
Top of the Pops: A Novel Whitelist Generation Scheme for Data Exfiltration Detection

As intellectual property and private data are stored in digital format, organizations and companies must protect data from possible digital data exfiltration. Prevention and detection are common approaches to combat against data exfiltration. Regardless of prevention measures, detection approach must be implemented to strengthen data protection. Analyzing network data to find abnormal behavior, namely network traffic anomaly detection, is an effective detection approach. One of the challenges in network traffic anomaly detection is benign data or data noise filtering. A good data filter will improve computation performance and detection accuracy. In this paper, we proposed a whitelist generation scheme to generate data filter for data exfiltration detection. Our scheme leverages kernel density estimator with numerous computed network feature indexes to generate a popularity-based data filter. We use real corporate network data to evaluate data filter efficiency. After evaluation, our scheme generates a whitelist that filters out twice as more data in comparison with the conventional whitelist generation method. Furthermore, detection accuracy is also improved when evaluating against two data exfiltration detection algorithms.
Smartex Sdn Bhd / Nur Hanis Fitriah Mohd Hasni ... [et al.]

Based on the previous business opportunities that we have carried out, we have chosen one business opportunity to be taken into a business idea. The business plan is to produce the Smart Basket and Smart Cash Machine and turns it into a high technology company. From thesebusiness plan, we have laid out some of the flows of the business such as the marketing plan, administration management, financial plan and also the operational plan in order to project a functional and efficient company system along in maintaining its image as a modem andversatile technology company. The idea of establishing this company has been taken into deep consideration to ensure that only the finest products are being manufactured and sold. The products are being produced based on customer's needs and also client's demand in achievingthe fast checkout and minimizing the lagging payment during shopping. In addition, the products are not only boasting the financial economy, but they are alsoexpanding the creativity to create and produce something new that may be or may be not in the market yet. This business is indeed an eye-opening to the technology world as it is a new technology in the market and lift up the image of this country too.
The manganese dioxide as a redox buffer in natural waters

The redox potentials which are measured by platinum electrodes in solutions saturated with non-stoichiometric manganese dioxides correspond a reaction between MnO2 and MnOOH in solid phase. Among different inorganic redox systems of seawater, only the pair MnO2/MnOOH is able to provide the Eh values which are close to field measurements in upper oxidised layer of oceanic red clays.
The Level of Students' Readiness for the Use of SYAM-OK in the Department of Educational Technology, Universitas Negeri Makassar

Abstract . The focus of this research study is how the level of student readiness for the use of SYAM-OK in online learning during the covid-19 pandemic which includes: convenience, usefulness, acceptance of use and obstacles experienced by users during the online learning process using SYAM-OK during the covid-19 pandemic. 19. This research is a qualitative descriptive study conducted from April to June 2021 at the Faculty of Education, Makassar State University. The subjects in this study were Educational Technology Students Class of 2019 who had filled out a questionnaire and conducted an interview process regarding the level of readiness to use SYAM-OK. Data collection techniques using questionnaires, interviews, and documentation. Data analysis methods consist of data reduction, data presentation, and data verification. The results of the study show that the level of student readiness to use SYAM-OK which includes four indicators, namely, convenience, usefulness, user acceptance and obstacles experienced by users. Among these 4 indicators, the indicator of the level of readiness to accept use still needs to be further improved. The obstacles experienced by users in the online learning process using SYAM-OK are the internet connection that is not supported, the server is down and the number of task collection capacity is limited. Even so, both students and lecturers hope to continue to use SYAM-OK in the online learning process and face-to-face learning Keywords : Readiness Level, SYAM-OK, Online Learning, COVID-19.
An Augmented Intelligence Model to Extract Pragmatic Markers from Large Content Repositories

This paper presents a novel methodology for automatically extracting pragmatic markers from large streams of texts and repositories of documents. Pragmatic markers typically are implications, innuendos, suggestions, contradictions, sarcasms or references that are difficult to define objectively, but that are subjectively evident. Our methodology uses a two-stage augmented learning model applied to a specific use case, extracting from a repository of over 1500 Article IV country reports prepared for government officials by International Monetary Fund (IMF) staff. The model uses principles of evidence theory to train a machine to decipher the textual patterns of suggested actions for government officials and to extract those suggestions from the country reports at scale. We demonstrate the effectiveness of the model with impressive precision and recall metrics that over time outperform even the human trainers.
Pandangan dan pengalaman pengajar terkait siniar sebagai media mengajar saat pandemi Covid-19

This study elaborates on how lecturers perceive podcasts in the teaching process and their experience using this media in distance learning during the co-19 pandemic. By first describing the concept of podcasts as a convergence medium and their use in the education sector, the writer elaborates problems with a descriptive qualitative approach and involved five lecturers a research subjects. Research founds that the use of podcast was able to help lecturers conduct a distance teaching during the co-19 pandemic. It’s because the cost of accessing podcasts is cheap; can be accessed in locations with inadequate telecommunications infrastructure; making teaching material via podcasts are easy, inexpensive, and more personalized; podcasts can be listened to at any time, multimedia, and can be a replay. Because the nature of the podcast is not interactive and visual so to achieve the learning target lecturers usually use other supporting media that function as a discussion tool between lecturers and students. Although considered effective, podcasts have not been able to replace the effectiveness of traditional face-to-face teaching methods, in this case, podcasts can be used as a supplement.
Online Software Piracy and Its Related Laws

Software has become an integral part of our life when everything in our life is connected with the digital world. Being a valuable technology in the internet age, software has also contributed for the development of economy as well. It has created large number of job across the globe and a boom in the economy is the result. India has become one of the biggest exporter of software in the world. But across the world, all the countries with huge software developing markets are facing a major threat: threat of Piracy. Software Piracy is the reproduction, distribution or use of a software without the expressed permission of its author. Software piracy had large implication upon the Information Technology industries and it has also shaken the economy. Though software piracy has been detected and various measures are adopted by the authorities, still the instances of software piracy has only lessened a little. In this scenario, the objective of this research paper is to understand the concept of software piracy, Issues and Challenges, and also to analyses the existing legal framework such as Information Technology Act, 2000, Copyright Act, 1957 and other related law if any. The paper critically studies the existing legal framework to find out the lacunas in the system and to come up with suggestions to tackle the menace of software piracy.
La competenza ortografica nelle prove INVALSI

This contribution examines the orthographic competence of Italian students, on the basis of their answers to questions related to orthography in the INVALSI tests of Italian. After a presentation of the structural characteristics of Italian orthography, we ask ourselves what kinds of variables affect the difficulty of the orthographic questions at different school levels; what kinds of strategies (phonological, lexical or morphosyntactic) may be activated by the students when answering these questions; if it is possible to identify a progression of difficulty in the questions administered at different school levels and, if yes, in what sense. We attempt to answer these questions by means of a quantitative (percentages of correct answers) and qualitative (peculiar characteristics) analysis of the orthographic questions administered within the tests of Italian, by taking into consideration the following variables: school level, the question intent, the question format, the correction criteria and the statistical elaboration of students’ answers.
دور ممارسة العاملين في حقل المعلومات لأخلاقيات المهنة في تعزيز أمن المعلومات بوزارة الداخلية والأمن الوطني - الشق المدني بغزة (The Role of Practicing Profession Ethics by Workers in The Field of Information in Enhancing The Information Security in The Ministry of Interior and National Security – Civil Department in Gaza Strip)

Arabic Abstract: هدفت الدراسة التعرف إلى دور ممارسة العاملين في حقل المعلومات لأخلاقيات المهنة في تعزيز أمن المعلومات، وذلك في وزارة الداخلية والأمن الوطني الشق المدني بقطاع غزة، ولتحقيق الهدف من الدراسة استخدم الباحثان المنهج الوصفي التحليلي، واعتمدا الاستبانة كأداة للدراسة، مستخدمان أسلوب الحصر الشامل وقد تكون مجتمع الدراسة من جميع الموظفين العاملين في الوزارة ذوي المستويات الإشرافية المختلفة وعددهم (256) موظفا، وقد تم استرداد (247) استبانة بنسبة استرداد (96.5%).وتوصلت الدراسة إلى العديد من النتائج من أهمها:- توفر أخلاقيات مهنة المعلومات في وزارة الداخلية والأمن الوطني – الشق المدني بقطاع غزة بنسبة كبيرة تقدر بــ (71.93%).- توفر إجراءات أمن المعلومات في وزارة الداخلية والأمن الوطني – الشق المدني بقطاع غزة بنسبة كبيرة تقدر بــ (68.06%).وقدمت الدراسة مجموعة من التوصيات من أهمها:- سن وتطبيق التشريعات القانونية اللازمة، التي توفر البيئة والحاضنة المناسبة لحماية الأنظمة المعلوماتية التي يتم العمل عليها، إضافة لسن التشريعات التي تجرم من يخالف تلك القوانين ومرتكبي تلك الجرائم، وذلك لمواجهة الجرائم المعلوماتية.English Abstract: The study aimed to identify the role of practising profession ethics by workers in the field of information, in enhancing the information security, in the Ministry of Interior and National Security – Civil department, in Gaza Strip.To achieve this aim, the researchers used descriptive-analytical approach, and adopted the questionnaire as a tool for the study, using the methodology of comprehensive enumeration to explore the study sample views, and the community of the study is all the staff working in the ministry with different supervisory levels, (256) questionnaires were distributed, (247) questionnaire has been retrieved by recovery rate (96.5%). The study concludes several results, most important are the following:- Availability of the information profession ethics at the Ministry of Interior and National Security - Civil department in the Gaza Strip by a large proportion estimated (71.93%).- Availability of information security procedures at the Ministry of Interior and National Security - Civil department in the Gaza Strip by a large proportion estimated (68.06%).The study recommends promoting the following:- Enactment and enforcement of necessary legislation, which provides the environment and appropriate foster to protect the informational systems that used for working on it, in addition, to enact legislation that criminalizing the violation of such laws and the perpetrators of such crimes, to face the IT crimes.
Accumulation of heavy metals in surface sediments as indicator for pollution in Kelantan river

The Kelantan River is the main river in Kelantan, Malaysia. It drains along catchment area of approximately 11900 km2 in north-east Malaysia along including part of the Taman Negara National Park, and flows northwards into the South China Sea. The Kelantan River has been used frequently by the local community for domestic uses, transportation, agriculture, plantation irrigation, small scale fishing industries and additionally sand mining activities. The turbidity of Kelantan River is high because of the excessive number of suspended solids and siltation. These have been caused by logging sports within the upstream areas and sand mining sports. The extent of sand mining pastime along the Kelantan River will increase every year because of the high call of sand for enterprise and industry. The aim of this study was to determine the concentration of heavy metals including copper (Cu), aluminium (Al), lead (Pb), zinc (Zn) and iron (Fe) in sediment and to estimate the pollution level of Kelantan River, Kelantan, Malaysia. In research methodology, X-Ray Fluorescence (XRF) test were applied to determine the concentration of each element in the sediment samples. The number of samples tested were 25 and each of them have different concentration of heavy metals. Significant calculations also were done such as Enrichment Factor (EF), Geo-Accumulation Index (Igeo) and Pollution Load Index (PLI) to justify the accuracy of the results. Results indicated that elevated concentrations of Al, Ca, Fe, K and Mn in surface sediments of the study area show significant value as expected based on previous study. The high enrichment factor for K and Mn obtained in the sediment samples show that there is a steady increase of toxic heavy metals risk in this area, which could be correlated with the past mining activity and post abandoned mining in the area.
The taxicab sampler: MCMC for discrete spaces with application to tree models

Motivated by the problem of exploring discrete but very complex state spaces in Bayesian models, we propose a novel Markov Chain Monte Carlo search algorithm: the taxicab sampler. We describe the construction of this sampler and discuss how its interpretation and usage differs from that of standard Metropolis-Hastings as well as the related Hamming ball sampler. The proposed sampling algorithm is then shown to demonstrate substantial improvement in computation time without any loss of efficiency relative to a naïve Metropolis–Hastings search in a motivating Bayesian regression tree count model, in which we leverage the discrete state space assumption to construct a novel likelihood function that allows for flexibly describing different mean-variance relationships while preserving parameter interpretability compared to existing likelihood functions for count data.
A Cloud Computing Platform On File Storage And Sharing Using Rijndeal Algorithms

In today’s business world, every organization, companies and private individuals store their files online which is being monitored by untrusted individuals (Third Party) which are the manager and owner of cloud. Optimized security mechanism for file storage and sharing in a cloud computing platform using Rijndeal encryption algorithms is a platform to optimize the security of file and document against fraudsters. The goal of this paper is to implement file storage and sharing in a cloud computing platform using Rijndeal encryption algorithm. The proposed system aid encryption and sharing of encrypted files, it also lock the files in cloud before sharing it and ensure that users have full control of their files by using two factor authentications mechanism and encrypting the files before storing it which will prevent it from being hacked. Object-Oriented Analysis and Design methodology (OOAD) was used to analyze and design the system, whereas the implementation was carried out using PhP and My-SQL database management system. The accomplishment of this project enables firms, individuals and companies to store files and document in cloud environment without fear of any kind.
Research Guides: OER by Subject: Transitional Studies: Create OER

OER Subject guide for Transitional Studies classes at Clark College. This guide has been adapted from the original content, Transitional Studies (ABE, AESL, EAP, Dev ED) TCC OER Guide, created by Jennifer Snoek-Brown, Tacoma Community College Library, and
Comparison of Touch and Touchless Zoom Control Methods for Single-Handed Mobile Interaction

We conducted a user study comparing the accuracy and speed of three zoom methods for touch-screen devices. The comparison was between touch and touchless zoom methods. One method is GyroZoom which uses the mobile phone's rotation to zoom in and zoom out. It is named after the gyroscope sensor in smartphones to detect the angle and amount of device rotation. We constrained our research to single-handed interaction. The pinch-to-zoom method, also tested, is the standard touch-screen gesture method. VolumeZoom was the third method and does not require the user to touch the screen. Instead, the user presses the physical volume buttons that are normally used to increase or decrease volume; they were reprogrammed to perform zoom operations. The user study engaged 12 participants and employed a Google Pixel 3a smartphone. GyroZoom was 18.1% faster than the traditional pinch-to-zoom method and it was more efficient. VolumeZoom was the most efficient method of the three but was 18.9% slower than pinch-to-zoom. Participants gave favorable and preferential ratings for using GyroZoom and VolumeZoom over pinch-to-zoom in a single-handed usage scenarios.