Reviewerly/exHarmony huggingface dataset:
Design an IT Policy Implementation Plan

Information technology (IT) companies implement multi-dimensional policy plans that include procedures, sub-plans, and instructions to outline their business scopes, targets, and communications. This work outlined the IT policy implementation plan designed by an imaginary company with a random name called Northcentral Cloud Consulting Firm (NCCF), containing proposed IT policies, milestones and roadmaps, control framework, stakeholder responsibilities, knowledge transfer plan, and leadership roles. As NCCF’s major customers seek data-driven solutions in cloud computing, the NCCF IT policy plan provides various data policies, including security and proper usage of machine learning services. The plan offers a detailed roadmap of its financial, geographical, and reputational expansion within three years. The IT policy plan also compromises an IT risk management, contingency, and emergency communication plan, mainly for protecting data and business continuity. Stakeholder responsibilities are incorporated into the IT policy plan, as NCCF considers any engagement with its customers as a collaborative effort in which both parties have and share several responsibilities.
Implementation of Reed Solomon Code Over GF(9) and 9-Ary Symmetric Channel

Reed-Solomon and related codes have recently become very important for erasure correction in large disk arrays used in data centers. In this paper, we will implement a 3-error correcting Reed-Solomon encoder and decoder over the field GF(9) generated by the primitive polynomial D^2 + D + 2 over GF(3) and the decoding is carried out by the Berlekamp. We simulate the encoder and decoder using Monte-Carlo simulations over the 9-ary symmetric channel that outputs the correct symbol with probability (1-p), and outputs one of the other 8 possible incorrect symbols with probability p/8. Then, we compare the simulated probability of symbol error P(E) of out code with the union upper bound.
Positional biases in predictive processing of intonation

Real-time speech comprehension is challenging because communicatively relevant information is distributed throughout the entire utterance. In five mouse tracking experiments on German and American English we probe, if listeners, in principle, use early intonational information to anticipate upcoming referents. Listeners had to select a speaker intended referent with their mouse guided by intonational cues, allowing for anticipation by moving their hand toward the referent prior to lexical disambiguation. While German listeners (Exps. 1-3) seemed to ignore early pitch cues, American English listeners (Exps. 4-5) were in principle able to use these early pitch cues to anticipate upcoming referents. However, many listeners showed no indication of doing so. These results suggest that there are important positional asymmetries in the way intonational information is integrated, with early information being paid less attention to than later cues in the utterance. Open data, scripts, and materials can be retrieved here: https://osf.io/xf8be/.
The Implementation Results of Identity-Based Hashing Algorithm for Iot

Nonrepudiation in Mobile environment is a major challenge in the area of IoT security. Public-key-based Digital Signature schemes are common and their computational requirements and complexities do not support constrained devices. This paper presents the design and implementation results of light weight nonrepudiation architecture based on public key cryptography and Elliptic Curve addition to reduce the overhead of processing and communication.
An Application to Train Eye Movement Control among Thai Juniors

Reading is an important skill for acquiring knowledge throughout life.Without the ability to read fluently, opportunities for personal fulfilment and career achievements will be decreased.This study developed an application exploiting the concept of a word's optimal viewing position (OVP) with a gaming design to encourage students to read and practice their eye movement control to recognise a word quickly.A pilot study was conducted by training grade 3 students with the application with the OVP to guide their eye fixation for 7 days to explore if their reading performance improved.Before and after training sessions were conducted without using the OVP.The result shows that those students have increased their reading performance approximately 61% after the training sessions without the OVP and approximately 64% with the OVP guide.The optimal viewing position game helps the readers recognise words faster.Quantitative data were collected using Net Promoter Score (NPS).The finding shows the application has an NPS score of 33 indicating that the application is doing good and has more happy users than unhappy ones.Qualitative data was also collected by interview and found that the children were satisfied with the interface design, the application is easy to use, but they were not familiar with some words causing them to be mispronounced.
Multi-Target, Multi-Camera Tracking

Albeit numerous techniques perform well in single camera following, multi-camera following stays a difficult issue with less consideration. DukeMTMC is an enormous scope, all around explained multi-camera following benchmark which gains extraordinary ground in this field. This report is devoted to quickly present ourtechnique on DukeMTMC and show that straightforward progressive grouping with very much prepared individual re-distinguishing proof highlights can get greatoutcomes on this dataset
How to Generate a Motivative, Effective, Trusting, Innovative and Creative Work Environment That Fosters the Creation of Innovative Educational Experiences: Smart Center Ideation

Nowadays, education institutions seek to innovate their methodologies to enhance their learning processes to be more effective. To achieve this, it is fundamental for the people who create educational experiences to build a high-performance work team. For this, working in atmospheres that foster motivation, effectiveness, creativity, innovation, and trust is vital. Project managers play a central role in setting the work environment that generates a high-performance work team. A high-performance work team is “a group of goal-focused individuals with [...] complementary skills who collaborate, innovate and produce a consistently superior result.” [1] This paper presents the project management process that SMART CENTER, a student center at Universidad Panamericana, followed to achieve an innovative, effective and highly engaging experience called SMART Room for more than 100 students in a time frame of 5 weeks and a team of only 10 people. This article will cover each step taken for the ideation, organization, planning, and execution of the SMART Room and will explain the basic principles so that anyone can replicate it in their teams and projects.
A Novel Collaborative PKI Framework in Public Cloud

Public Key Infrastructure (PKI) is a repository and management system for digital certificates. It can be the centralized or decentralized PKI system for issuing, managing, storing, verifying and distributing the key pairs, public key and private key, or one of the public key certificates. In public cloud, Data Owners and Data Users can upload or download their encrypted data along with services, resources and infrastructures in the hands of Cloud Service Provider. It creates the big security concerns in terms of data security and data privacy for the user and Cloud Service Provider is the sole responsibility to provide the Access Control Policy to restrict the cloud services centrally. With the emergence of cloud computing, Public Key Infrastructure (PKI) technology enables the secure communications in between systems. X.509 certificates are based on the centralized PKI and suffers so many issues in the public cloud. Gnu Privacy Guard (GnuPG) certificates are based on the decentralized PKI system. Imagine a world with decentralized PKI system in which each Kerberos is also a Central Authority for issuing certificates to the system or users. This proposed collaborative PKI framework describes the use of PKI in public cloud, proposed algorithm for Kerberos SSO token and provides acquisition of Public Key certificates from the client via Kerberized Central Authorities.
TOWARDS THE DEVELOPMENT OF A CLASSIFICATION MODEL FOR TECHNICAL DOCUMENTS IN KNOWLEDGE DISCOVERY SYSTEMS

An important component of knowledge management is the organization of documents for quick and easy access.One effective way of organizing these documents is to group them by a fixed set of specific knowledge categories.For large-scale technical teams, the number of categories can reach thousands or even tens of thousands, which makes this type of cataloging especially useful.Text classification is a sophisticated process that involves data preprocessing, transformation, dimensionality reduction, application of classification techniques, classifier evaluation, and classifier validation.This paper describes the preliminary results from phase one of a design-science research study for the development of a model that can be used for classification of financial software development documentation in knowledge discovery systems using machine learning.Specifically, testing with a small dataset of 64 documents from the Natural Language Technical Project Documentation dataset was conducted to assess the effectiveness of traditional text classification methods.Results indicate limitations to these traditional methods for classifying technical documents.The next steps include evaluating the performance on a bigger dataset of technical documents and testing new deep learning techniques.
A Provably Secure Distant Data Integrity Checking With Homomorphic Hash Function in Secure Cloud Storage

The cloud storage with user facilities like great data storage quality, higher computing, scalable and flexible has been one of the major application of cloud computing. Large number of data holders is subcontracting the files to the cloud. The cloud server being a public domain is not very reliable thus the data holders are required to find a reliable and trustworthy way to check the ownership of the data files that they subcontract on the cloud server which is present in a remote location. To tackle this drawback number of Distant Data Integrity Checking (DDIC) protocols is in the literature but these protocols have liabilities with respect to the data dynamics and the efficiency. This work recommends a novel DDIC protocol built across homomorphic-hash-function. This system gives a resistance against number of attacks like replay, replaces and falsifications. This work introduces the Operation-record-table(ORT) which is an optimized table resulting in keeping the constant cost for supporting the data variations and keep tracks of blocking the file operations.
Optimization of Presence and Student Assessment with or Code Based on Client Server Android

Presence system and student assessment are still many manuals in input and calculation, of course with such a system many shortcomings including extra time in inputting and calculation, the possibility of absent redundancy and cheating absent by the students and the missing or damaged documents presence and assessment students. One of the lecturers' duties is to provide students with a quick and accurate assessment . This research has purpose to make the system of absent and assessment which developed by applying technology of QR Code and Client Server to facilitate in input presence, appraisal and monitoring so that lecturer can more quickly and efficient in making assessment report and student can see directly result of assessment on system. In the implementation, the system performs the QR Code scanning of students present in the lecture so that the input is faster and less likely the occurrence of errors and cheating attendance by students.
Applying Mathematics and Engineering Techniques to Cyber Security

While there are many approaches to cybersecurity, it is common for those approaches to be somewhat ad hoc or subjective. Cybersecurity needs a rigorous mathematical and engineering approach, which can be applied to address security issues, evaluate security controls, and investigating security breaches. The current paper maps the use of engineering and mathematical tools for cybersecurity purposes.
Review of &amp;quot;Observation and explanation of spurious seismic signals emerging in teleseismic noise correlations&amp;quot;

This is an interesting manuscript that studies a spurious signal observed in the correlograms of seismic noise between two distant seismic networks.The authors employ the double-beam method to estimate the slowness of several seismic phases as a function of distance and thus, track the observed interfering waves and determine the origin of that spurious signal.Furthermore, the authors provide a physical explanation for such signal through numerical simulations and observe it as well in synthetic correlograms.In my opinion, the study is well addressed and scientifically valuable.However, the presentation of the manuscript should be improved before possible publication.
The Improvement of Open Journal System for Successful National Journal Accreditation in Indonesia

This paper aims to evaluate and propose improvements to the Open Journal System (OJS) based journal management to support self-evaluation of national journal accreditation. Data collection methods used were literature research, observation, documentation, and FGD (Focus Group Discussion). The evaluation method used Ms. Excel 2010 to process the empirical data into tables and graphs. Speech notes feature on Android device to change the voice (interview result) into a text. The frameworks used were the instrument of DIKTI scientific journal accreditation. The results are an audit report on the self-evaluation of national journal accreditation in BBR (Binus Business Review) journal volume 7 number 2. The audit report consists of a quality management system, user manual of OJS, and design of the journal management process using OJS.
Fast and efficient: Statistical learning predicts online reading times in a second language

Two long-standing and interrelated questions have been central to language and cognition. The first question is whether shared or separate mechanisms subserve language learning versus language processing. The second question is whether shared or separate mechanisms underlie processing in a first versus second language. Using an individual differences paradigm, we sought evidence for common mechanisms by probing implicit statistical learning (SL) skills and online reading in a second language. We found that individuals with better statistical learning skills more efficiently incorporate word-level statistical regularities while reading in their second language, making them more efficient L2 readers. In addition, sensitivity to forward and backward lexical predictability reduced reading times. Thus, sensitivity to statistical sequential structure may be a common mechanism of implicit learning as well as processing of language.
Correction to: Are Artificially Intelligent Conversational Chatbots Uniformly Effective in Reducing Summer Melt? Evidence from a Randomized Controlled Trial

A correction to this paper has been published: https://doi.org/10.1007/s11162-021-09635-x
Administrasi Keuangan

Financial administration is one of the substance of school administration that will also determine the course of educational activities in schools. As happened in the substance of education administration in general, financial administration activities are carried out through the process of planning, organizing, directing, coordinating, supervising or controlling.
Sistem Informasi Peminjaman dan Pengembalian Rekam Medis Berbasis SMS Gateway

The process of borrowing and returning medical record at Ambulu Public Health Center still use manual book and make return of medical record documents that are not in accordance with SOP (Standard Operational Procedure). The purpose of this research is to design and create an information system of borrowing and returning the medical records based SMS gateway at Ambulu Public Health Center. The method used in this research is waterfall. The stages of the waterfall is requirements analysis, system design, create system, and system testing. The data collected by interview, observation, and FGD (Focus Group Discussion). The results of this research is the information systems of borrowing and returning the medical records based SMS gateway as message or automatic reminder. The suggestion for Ambulu Public Health Center is use information system of borrowing and returning the medical record based SMS gateway can make simple the reports.
Data Management Plan for Graduate Identity Formation Through Teaching

Data management plan for NSF Education and Human Resources (EHR) Innovations in Graduate Education (IGE) Program Proposal
Sistem Komputerisasi Pembayaran Administrasi Siswa pada Sekolah Menengah Kejuruan (SMK) Al-Insan Cilegon

Changes that occur in the field of technology, communication and information are so fast, requiring schools to provide optimal services to their students, especially in Al-Insan Cilegon Vocational School. The student administration payment system at the Al-Insan Cilegon Vocational School still uses the manual method which is written in a financial book. The process can take a long time and the data storage is still in the form of an archive. To overcome these problems computerized systems need to be made. The research method used is descriptive method. Data collection is done by means of observation and interviews. This research uses the Visual Basic programming language. Net and produce a computerized system that can help SMK Al-Insan Cilegon to provide services in the administrative payment of their students. Keywords: computerized system, payment administration, visual basic.net
Inverse Transform with Mellin like Feature

Create a transform somewhat in analogy to the Mellin transform which to some extent extracts sequence coefficients. _s[f(x)](s) \approx \Gamma(s)\phi(-s) where f(x) = ^\infty {s!}\phi(s) x^s instead consider a transform ℐ[f(x)](s) such that [f(x)](s) \approx \Gamma(s)\chi(-s) where (x)}{x} = ^\infty {s!}\chi(s) x^s and example, the function f(x) = x + x^2 has inverse as series f^{-1}(x) = x - x^2 + 2 x^3 - 5 x^4 + \cdots (x)}{x} = 1 - x + 2 x^2 - 5 x^3 + \cdots = ^\infty {s!} C_s x^s = ^\infty {s!} {(s+1)!} x^s then \chi(s) = {\Gamma(2+s)} then [x+x^2](s) ={\Gamma(2-s)} x^{-1}[[x+x^2](s)](x) = f^{-1}(x) RESULTS Then it would seem that [2x^2 - ](s) ={\Gamma(1-s)} [W(x)](s) =\Gamma(s)(-1)^s \\ [-W(-x)](s) =\Gamma(s) \\ \left[{1-x}\right](s) =\Gamma(s)\Gamma(1-s) \\ \left[-2x}{2x}\right](s) =\Gamma(s)\Gamma(2-s) \\ \left[\log\left({x}\right)\right](s) =\Gamma(s-1)\\ \left[W\left({x}\right)\right](s) =\Gamma(s-2)\\ \left[e^x-1\right](s) ={\Gamma(2-s)} \\ \left[\log(x)\right](s) =(-1)^{1-s} \Gamma(s-1) \\ \left[{e^x-1}\right](s) ={1-s} \\ \left[-x-W(-xe^{-x})\right](s) =\Gamma(s)\zeta(s) \\ Some more generalised ones [\log(x^k)](s) = \left(-{k}\right)^{1-s} \Gamma(s-1)\\ \left[W\left({x^k}\right)\right](s) =k^{-1-1/k+s}\Gamma(s-1-{k})\\ \left[W\left(x^k\right)\right](s) =(-k)^{-1+1/k+s}\Gamma(s-1+{k})\\ \left[-{x+W(-e^{-x}x)}\right](s) = {s}\\ \left[-2W(-}{2})\right](s) = s^2 \Gamma(s)\\ \left[{\log(k/x)}\right](s) = k \Gamma(1-s)\\ \left[{1 - W(ex/k)}\right](s) = k s \Gamma(1-s)\\ \left[-x^k W(}{A})\right](s) = -A x^{k s}\Gamma(s)\\ As described in a previous article on here: It would appear that for the function f(x)=x^m+x, m>1 we get a series g(x)=^\infty {n}}{(m-1)n+1} these then have a set of consistent, hypergeometric series explainable as g(x)=_{(m-1)}F_{(m-2)}\left(\left\{{m},{m},\cdots,{m}\right\};\left\{{m-1},\cdots,{m-1},{m-1}\right\};-}{(m-1)^{m-1}}\right)\cdot x then {x}=_{(m-1)}F_{(m-2)}\left(\left\{{m},{m},\cdots,{m}\right\};\left\{{m-1},\cdots,{m-1},{m-1}\right\};-}{(m-1)^{m-1}}\right) which would give [x+x^m](s) = _x[\;_{(m-1)}F_{(m-2)}\left(\left\{{m},{m},\cdots,{m}\right\};\left\{{m-1},\cdots,{m-1},{m-1}\right\};-}{(m-1)^{m-1}}\right) ](s) which gives [x+x^2](s) = {\Gamma(2-s)}\\ [x+x^3](s) = {2})\Gamma({2})}{2 \Gamma(2-s)} \\ [x+x^4](s) = {2}}\pi \Gamma(-4s/3)\Gamma(s/3)}{\Gamma(2/3-s/3)\Gamma(4/3-s/3)\Gamma(-s/3)} =?={3 \Gamma(2-s)} it then seems like {m-1}\right)\Gamma\left({m-1}\right)}{(m-1)\Gamma(2-s)} = _x[x+x^m](s) and more generally {m-1}}\Gamma\left(1-{m-1}\right)\Gamma\left({m-1}\right)}{(m-1)\Gamma(2-s)} = _x[x+a x^m](s) FURTHER SMALL POLYNOMIALS There are some other small polynomials that give integer sequences upon reversion. Consider x − x² − x³. ^{-1}_s[\Gamma(a+b s)](x) = (-1)^b(b+a)^b W(-{b+a}}x^{{b+a}}}{b+a})^b
Program Understanding and Requirement Validation Based on Accurate Value Flow Graph

In software development, testing, verification and maintenance, it is a significant challenge to guarantee the consistency between software system and requirement.Software logic is usually implemented in the form of source code while requirements are usually described in the form of (structured) text.There are significant differences in form and connoation between the two, which brings many difficulties to software development.To solve this problem, this paper proposes a program analysis and requirement extraction algorithm based on accurate value flow graph.The algorithm uses static analysis to analyze program semantics and construct accurate value flow graphs.On this basis, the semantic information is extracted and summary is generated, which can be further used for requirements confirmation and defect analysis.Experiments show that the algorithm can analyze the control and data dependence of software code, and can accurately generate variable association information under different paths.The function summary can help developers to confirm whether the program semantics are consistent with the software requirements, help to find subtle semantic differences (including differences in conditions, dependencies, etc.), and effectively improve the efficiency of program understanding (up to 60% of time can be saved).This tool can be further used in the fields of defect analysis, influence domain analysis, etc., and has good application value.
INTERPERSONAL METAPHOR IN “INDONESIA NOW” ENGLISH NEWS TV PROGRAM

This study investigates interpersonal metaphor in “Indonesia Now” English news TV program based on Systemic Functional Linguistics approach. The objective of the study are to identify what types of interpersonal metaphors in “Indonesia Now”, to describe how those interpersonal metaphors are used, and to explain in what context those interpersonal metaphor are used. A qualitative descriptive research design was applied. The data were taken from one weekly broadcast Indonesia Now in January to June 2017. The data were collected by recording the “Indonesia Now” program on Metro TV, then transcribing the program broadcasts into written text, classifying the data into types of interpersonal metaphors and then drawing conclusion from the data. The findings of the study show that there are five types of interpersonal metaphor used in “Indonesia Now”, namely metaphor of mood, modality, epithet, euphemism, and connotation. The use of interpersonal metaphor in “Indonesia Now” is realized by use of incongruent types of expressing meaning in interaction. In addition, the use of interpersonal metaphor, it is also found that expressing emotion as the new findings of this study which not in line with the previous theories. The speaker use interpersonal metaphor to accurately reflect their point of view and express the emotion and this purpose can be achieved with the reference to social context which named context of situation.Keyword: Interpersonal metaphor, Systemic Functional Linguistic, Indonesia Now
Organization of a Wireless System for Individual Biomedical Data Collection

The article discusses the organization of a wireless system for collecting biomedical information, which is intended to everyday control the basic human life parameters. The system is based on a wireless sensor system and allows the data transfer to mobile devices or a computer for further processing.