Reviewerly/exHarmony huggingface dataset:
Why do Internet Devices Remain Vulnerable? A Survey with System Administrators

In efforts to understand the reasons behind Internet-connected devices remaining vulnerable for a long time, previous literature analyzed the effectiveness of large-scale vulnerability notifications on remediation rates.Herein we focus on the perspective of system administrators.Through an online survey study with 89 system administrators worldwide, we investigate factors affecting their decisions to remediate or ignore a security vulnerability.We use Censys to find servers with vulnerable public-facing services, extract the abuse contact information from WHOIS, and email an invitation to fill out the survey.We found no evidence that awareness of the existence of a vulnerability affects remediation plans, which explains the consistently small remediation rates following notification campaigns conducted in previous research.More interestingly, participants did not agree on a specific factor as the primary cause for lack of remediation.Many factors appeared roughly equally important, including backwards compatibility, technical knowledge, available resources, and motive to remediate.
Boxing Punch Detection with Single Static Camera

Computer vision in sports analytics is gaining in popularity. Monitoring players' performance using cameras is more flexible and doesn't interfere with player equipment compared to systems using sensors. This provides a wide set of opportunities for computer vision systems that help coaches, reporters, and audiences. This paper provides an introduction to the problem of measuring boxers' performance in boxing, with a comprehensive research of approaches in current science. The main goal of the paper is to provide a system to automatically detect punches in Olympic boxing using a single static camera. The authors use Euclidean distance to measure the distance between boxers and Convolutional Neural Networks to classify footage frames. In order to improve classification performance we provide and test three approaches to manipulating the images prior to fitting the classifier. The proposed solution achieves 95% of balanced accuracy, 49% of F1 score for frames with punches, and 97% for frames without punches. Finally, we present a working system for analyses of the boxing scene that marks boxers, and labels frames with detected clashes and punches.
DESIGN OF A BUOYANT SYSTEM WITH DISCRETE FORCE DISTRIBUTION

The stability and dynamic positioning of any floating structure is essential during offshore or on shore activities. It is therefore necessary to carry out offshore mooring system analysis in order for it to withstand extreme environmental forces of wind, wave, and current that will act on the structures. This project is focused on designing a fit-for-purpose buoyant mooring system to achieve the stability and dynamic positioning of a floating system. This system must provide a discreet non-linear force distribution within a given range. The sea-water depth range at the shore was also provided. For a certain stretch in the mooring line, due to rise in the level of water, the decrement in the required buoyant force was to decrease non-linearly. In order to meet that requirement a mechanism with only one piston-cylinder connected to mooring line was devised. This was the simplest solution that could be achieved for the desired outcome. Any other mechanism, according to observations, increases the complexity of the system, which was to be avoided (as demanded in the problem).Once the string is stretched the piston is pulled downwards. This increases the total volume occupied by the mechanism thus increasing the buoyant force (Archimedes Principle). But there is a linear relationship between the stretch of string and increase of buoyant force. In order to make this relationship non-linear a multi-groove step pulley was used. The mooring line passing over this pulley produced a non-linear pull in the piston (since the radius of the each step changes non-linearly). As a result buoyant force also changes non-linearly for the same stretch of the mooring line. CATIA was used for 3D modeling of the system, and better understanding of the mechanism. The above mentioned mechanism was the simplest which could be achieved, because no complex tools were required for its construction and it also provided the exact values as demanded.
PERKEMBANGAN SISTEM INFORMASI MANAJEMEN (SIM) DI INDONESIA

Management Information System (MIS) is a systematic network in the administration and handling of information that aims to create data that will be provided to each time as a reason for making choices to achieve organizational goals. The purpose of a management information system is to provide information used in calculating the cost of services, goods, and other necessities desired by executives; provide data used in compiling, controlling, assessing, and improving consistently; Provision of data for decision making of a company. The historical background of management information systems basically cannot be separated from the development of data technology. The development of Management Information Systems (MIS) has existed for a long time but is now more developed, especially in Indonesia. Management Information System (MIS) improvements have been recognized by the Big Screen Organization. early understand that the biggest obstacles come from the center to the upper management layers, and not from the bottom board. Implementation of Management Information Systems in Indonesia that regularly deals with the public includes: Management Information Systems in educational institutions, Management Information Systems in health institutions, Management Information Systems in banking institutions.
Empirical model for the estimation of global solar radiation in the Aceh Besar Regency, Aceh

Solar energy plays an important role in the temperature distribution on the Earth's surface and essential energy that sustains life for human. In the calculation of solar energy, the limitation of solar radiation data is a major obstacle. Solar radiation data is very limited at some observation stations due to the costly procurement of measuring instruments and complicated techniques. Estimation of global solar radiation using empirical models is one way to overcome the limitations of global solar radiation data at various locations. This study built the Angstrom-Prescott model to estimate global solar radiation based on the sunshine duration’s parameter in Aceh Besar Regency. Two years (2019-2020) global solar radiation and sunshine duration data from Aceh Climatological Station were used to estimate global solar radiation in 2021. Data for 2021 was using to evaluated the equation H/H0=0.28+0.22 (n/N), the results showed good model accuracy with an RMSE value of 0.052 and a MAPE of 11% (good forecasting). The model equation has been reliable to calculate solar radiation in four locations in Aceh Besar Regency.
USERNversity: A New Educational Innovation to Improve Young Scholars’ Skills via Extracurricular Programs

The Article Abstract is not available.
Designing and Producing Special Animated Dolls for Cognitive Games to Develop Children’s Dressing Skills

The research aims to study the scientific bases for the design of dolls, and benefit from them in the design and production of (8) dolls with moving limbs, and the design and production of (25) designs for the clothes of the produced dolls and their accessories to develop the child’s clothing skills, and to measure the degree of acceptance of the dolls produced by specialists, and to measure the degree of consumer acceptance of the dolls Produced with kinds of clothing and accessories for different occasions. To get to know their opinions and the degree of their acceptance of the implemented designs.
Indonesian Learning Media: Setting, Making, Searching, Select-ing, Quality checklists and procedures, and Data Analysis and Synthesis

Online learning during the pandemic has an impact on the development of the use of learning media. This study aims to describe the Indonesian language learning media in elementary schools. This research is classified as a systematic literature review with the following procedure: (1) setting the background and objectives, (2) making research questions, (3) searching for literature, (4) selecting criteria, (5) quality check-lists and procedures, and (6) data analysis and synthesis. The database used to search for literature is Google Scholar. Searching the data using the keywords "Indonesian language learning and learning media in elementary schools". After that, screening was carried out to get scientific articles for 2017-2022 that discussed Indonesian language learning media in elementary schools. The search results totaled 54 articles were analyzed and synthesized. The analytical technique used is the narrative method by grouping the extracted data. The results showed that the most research articles were reviewed in terms of the year of publication, the design, the research subject, the object of research, the type of media in a row is 2020 by 39%, research development is 39%, the subject of 5th grade elementary school students is 22%, the object of learning Indonesian language in general amounted to 43%, the types of media used were story books and audio-visuals as much as 22% and 13%, respectively. The results of this study are very useful for teachers to make or choose the right learning media in learning Indonesian.
Self-Concept and Emotional Intelligence in Relation with Digital Literacy

As a student teacher candidate, the ability to communicate is a vital competency to be mastered. One of the best ways to share is how students and teacher candidates use technology. Advances in information and communication technology make digital literacy ability as significant as other abilities that exist in every individual human being. This study attempted to establish a link between self-concept and emotional intelligence and digital literacy abilities. This study uses the correlation method, with data collection carried out through a survey with an instrument in the form of a questionnaire for elementary school teacher education students at universities in West Java using the proportional random sampling technique. The results of this study indicate the correlation coefficient and the coefficient of determination, namely for self-concept with literacy ability, the correlation coefficient value is 0.563. This means a positive and significant relationship exists between self-concept and digital literacy ability, while emotional intelligence with digital literacy ability has a correlation coefficient of 0.651. This means a positive and meaningful relationship exists between emotional intelligence and digital literacy ability. The coefficient of determination of 0.433 means that the magnitude of the relationship between self-concept, emotional intelligence, and digital literacy ability is 43.3%. And the calculated F value is 103.730 from the Ftable value of 3.04. This research suggests that student-teacher candidates can develop self-concept and must be able to control emotional intelligence to improve digital literacy as a support in the learning process and to improve academic achievement
Desktop-Based of Outdoor Tools Buying and Sales Information System

System development is carried out to produce a system that can help process transactions related to purchases and sales. System development is designed to make a computerized sales and purchasing system so it will facilitate all activities quickly, easily and accurately. System development carried out in Alambara Adventure because it still uses a manual system in running the sales and purchasing system, so that the manual implementation process is still experiencing time and accuracy problems. The method used in this research is the descriptive analysis method. Information systems applied in the sale and purchase of outdoor equipment are in the form of internet and desktop-based information systems. The system is built using Borland Delphi 7 and Microsoft Access as a database and there is automation for coding, among others, item code, customer, supplier, and invoice number. System analysis starts from analyzing the running system then analyzing system weaknesses and finally making a system requirements analysis. The system design stage starts from making context diagrams, data flow diagrams, and flowcharts, then making input and output designs. The novelty of the system designed at Alambara Adventure is the testing phase carried out on the user through Acceptance testing at the system design stage and at the end of the system design.
Rule modeling of ADI cast iron structure for contradictory data

Ductile iron is a material that is very sensitive to the conditions of crystallization.Due to this fact, the data on the cast iron properties obtained in tests are significantly different and thus sets containing data from samples are contradictory, i.e. they contain inconsistent observations in which, for the same set of input data, the output values are significantly different.The aim of this work is to try to determine the possibility of building rule models in conditions of significant data uncertainty.The paper attempts to determine the impact of the presence of contradictory data in a data set on the results of process modeling with the use of rule-based methods.The study used the well-known dataset (Materials Algorithms Project Data Library, n.d.) pertaining to retained austenite volume fraction in austempered ductile cast iron.Two methods of rulebased modeling were used to model the volume of the retained austenite: the decision trees algorithm (DT) and the rough sets algorithm (RST).The paper demonstrates that the number of inconsistent observations depends on the adopted data discretization criteria.The influence of contradictory data on the generation of rules in both algorithms is considered, and the problems that can be generated by contradictory data used in rule modeling are indicated.
OBSan: An Out-Of-Bound Sanitizer to Harden DNN Executables

The rapid adoption of deep neural network (DNN) models on a variety of hardware platforms has boosted the development of deep learning (DL) compilers.DL compilers take as input the high-level DNN model specifications and generate optimized DNN executables for diverse hardware architectures like CPUs and GPUs.Despite the emerging adoption of DL compilers in real-world scenarios, no solutions exist to protect DNN executables.To fill this critical gap, this paper introduces OBSAN, a fast sanitizer designed to check for out-of-bound (OOB) behavior in DNN executables.Holistically, DNN incorporates bidirectional computation: forward propagation which predicts an output based on an input, and backward propagation which characterizes how the forward prediction is made.Both the neuron activations in forward propagation and gradients in backward propagation should fall within valid ranges, and deviations from these ranges would be considered as OOB.OOB is primarily related to unsafe behavior of DNNs, which root from anomalous inputs and may cause mispredictions or even exploitation via adversarial examples (AEs).We thus design OBSAN, which includes two variants, FOBSAN and BOBSAN, to detect OOB in forward and backward propagations, respectively.Each OBSAN variant is designed as extra passes of DL compilers to integrate with large-scale DNN models, and we design various optimization schemes to reduce the overhead of OBSAN.Evaluations over various anomalous inputs show that OBSAN manifests promising OOB detectability with low overhead.We further present two downstream applications to show how OBSAN prevents online AE generation and facilitates feedback-driven fuzz testing toward DNN executables.* Corresponding authors.design and application to reap the benefits of compiled DNN models [31,56,57,65,93].Cloud service providers such as Amazon and Google are also including DL compilers in their DL services to boost performance [9,90].
Navigating Murky Waters: Automated Browser Feature Testing for Uncovering Tracking Vectors

Modern web browsers constitute complex application platforms with a wide range of APIs and features.Critically, this includes a multitude of heterogeneous mechanisms that allow sites to store information that explicitly or implicitly alters clientside state or functionality.This behavior implicates any browser storage, cache, access control, and policy mechanism as a potential tracking vector.As demonstrated by prior work, tracking vectors can manifest through elaborate behaviors and exhibit varying characteristics that differ vastly across different browsing contexts.In this paper we develop CanITrack, an automated, mechanism-agnostic framework for testing browser features and uncovering novel tracking vectors.Our system is designed for facilitating browser vendors and researchers by streamlining the systematic testing of browser mechanisms.It accepts methods to read and write entries for a mechanism and calls these methods across different browsing contexts to determine any potential tracking vulnerabilities that the mechanism may expose.To demonstrate our system's capabilities we test 21 browser mechanisms and uncover a slew of tracking vectors, including 13 that enable third-party tracking and two that bypass the isolation offered by private browsing modes.Importantly, we show how two separate mechanisms from Google's highly-publicized and widely-discussed Privacy Sandbox initiative can be leveraged for tracking.Our experimental findings have resulted in 20 disclosure reports across seven major browsers, which have set remediation efforts in motion.Overall, our study highlights the complex and formidable challenge that browsers currently face when trying to balance the adoption of new features and protecting the privacy of their users, as well as the potential benefit of incorporating CanITrack into their internal testing pipeline.
Nursing role in the process of care in patients with pneumonia

The general objective of the research was to determine the role of nursing in the care process in patients with pneumonia. The approach formulated by the researcher for the methodological development of this work was the quantitative approach with a descriptive methodology with non-experimental design, which was supported by documentary-bibliographic analysis. Documents were used for this type of study. A research process was organized in which the study population relied primarily on written documents such as theses, statistics and scientific articles to examine the writings in order to study them and draw conclusions. It is concluded that the role of the nursing professional in the process of care in patients with pneumonia is oriented to the promotion of health, reaching the conformation of work teams, innate leadership, relationships with patients and interaction with their relatives, medical specialists focused on care.
McELIECE CRYPTOSYSTEM BASED ON QUATERNARY HAMMING CODES

The operation of modern information protection systems is largely based on asymmetric cryptographic algorithms that allow encrypted information to be transmitted over an open communication channel without the need for prior key exchange.Modern asymmetric cryptographic algorithms are based on the use of such one-sided functions as factorization of large prime numbers and discrete logarithms, which require significant computational costs for their use, and are not resistant to promising quantum cryptanalysis attacks.Existing modifications of these cryptographic algorithms based on elliptic curves are also characterized by some significant drawbacks: many robust elliptic curves are currently patented, and algorithms on elliptic curves often require the use of powerful physical generators of truly random numbers.The solution to these problems is the use of the McEliece cryptographic system, which is based on the problem of decoding complete linear codes.Despite the prevailing performance of this system and its resistance to promising quantum cryptanalysis attacks, such a shortcoming as the large length of its public key has led to the fact that it is not often used in practice.In this paper, new families of Hamming (n,k)-codes in extensions of extended Galois fields are proposed and it is shown that on the basis of these codes a McEliece cryptosystem can be built, which is characterized by a much smaller size of the public key while providing a comparable number of generator matrices of the code so providing the comparable value of the protection levels number.The possibility of applying cascade Hamming codes on the extensions of extended Galois fields is shown, which makes it possible to obtain protection against the Sidelnikov attack.The proposed cryptosystem can be recommended for practical use in applications that require high speed (for example, mobile devices, IoT devices, and embedded systems), as well as significant cryptographic strength, including protection against promising quantum attacks.
Note on the Difference between the Principal Balance Analysis with <i>NearestBalance</i> and Constrained Methods

This letter is about a particular case of approximation of a compositional vector by the nearest balance—its application to principal balance analysis (PBA). It compares two methods: our NearestBalance approach (1) and the constrained method suggested previously in references 2 and 3. We recognize that they have the same underlying idea, and we apologize for having missed this fact in our original paper. Still, due to algorithmic details the constrained method provides a suboptimal solution, while the NearestBalance approach guarantees the minimization of the approximation error.
Classroom Attendance using Face Detection and Facial Organs

The face is one of the easiest ways to distinguish the individual identity of each other. Face recognition is a personal identification system that uses personal characteristics of a person to identify the person's identity. Human face recognition procedure basically consists of two phases, namely face detection, where this process takes place very rapidly in humans, except under conditions where the object is located at a short distance away, the next is the introduction, which recognize a face as individuals. Stage is then replicated and developed as a model for facial image recognition (face recognition) is one of the much-studied biometrics technology and developed by experts. There are two kinds of methods that are currently popular in developed face recognition pattern namely, Eigenface method and Fisherface method. Facial image recognition Eigenface method is based on the reduction of face-dimensional space using Principal Component Analysis (PCA) for facial features. The main purpose of the use of PCA on face recognition using Eigen faces was formed (face space) by finding the eigenvector corresponding to the largest Eigenvalue of the face image. The area of this project face detection system with face recognition is Image processing. The software requirements for this project is matlab software.