Reviewerly/exHarmony huggingface dataset:
The Role of Managers' Meetings in Reducing Administrative Job Errors

Meetings of managers and minimizing administrative errors are two basic principles of discipline that are receiving increasing attention among business organizations. Despite this, the nature of the relationship between the role of managers’ meetings and the reduction of administrative errors remains unclear. Based on this, this research provides an insight by studying the role of managers’ meetings in reducing the errors of administrative functions in higher education centers in Halabja Governorate, based on a hypothetical scheme that takes into account the direction of the relationship between the components of managers’ meetings and reducing the errors of administrative functions. By organizing a theoretical framework, taking advantages of the literature on the subject, the research approved the descriptive analytical method and the questionnaire was used to survey the opinions of the research sample, (117) of questionnaires distributed on the entire research community consisting of (117) managers. (113) a valid form was retrieved, for a statistical analysis and some statistical methods were used to analyze the results and test hypotheses. Among the most important results of the research is that there is a statistically significant relationship between managers’ meetings and reducing the errors of administrative functions. On the other hand, the results showed that the dimension of defining the goal of the meeting had a greater role compared with other dimensions in reducing the errors of administrative functions, and in the light of that result, the research recommended the need to pay attention to defining the goal of the meeting of managers in order to avoid falling into administrative errors for the educational centers surveyed in the governorate Halabja.
Design and Implementation Digital Invitation System Based on Secure Hash Algorithm 3

Digital invitation system become one of the important systems due to the pandemic consequences specially in E-learning domains. The digital invitation needed to be secure enough for several reasons specially in the user demands. In this paper designed and implemented a digital invitation system based on secure hash algorithm which achieving multilevel of security. The first security level, that is the hash code generated for the digital invitation link used in the encryption process not only for the invitation date but also for the invitation time. on the other hand, the second security level achieved through out using the hash code as map for the hiding mechanism. The generated hash will be used for the data integrity as well. The proposed system evaluating the final stego-image as digital invitation using PSNR metric and the maximum value reach 64.28 while the minimum value reach 58.21.
CULTURE, NATURE AND NURTURE

Nightclub worker behavior has been considered as negative and immoral behavior by society because they have been practicing obnoxious attitude such as consuming alcohol, having intercourse, inhaling drugs, etc. Therefore, this study aimed to analyze the behavior of actors or nightclub workers at Bara nightclub in Bira Village, Bulukumba, South Sulawesi, Indonesia. This was a case study with participatory approach. In the results of this research, it was revealed that the behavior of nightclub workers came naturally and taught (nature and nurture). The behavior is of human is a result of human natural traits. Moreover, nurtured-behavior occurred because of the initiative of actors or nightclub workers when they saw a nightclub and found alcohol and they drank it until they lost control or consciousness. Nurture behavior is the behavior that is taught unconsciously when seeing and imitating the behavior of others or surrounding. Thus, human behavior is influenced by nature and nurture that resulted a new culture.
The Mobile Augmented Reality Application for Improving Learning of Electronic Component Module in TVET

Teens and young adults may get training in anything from the basics to advanced skills in various workplace and academic settings at Technical and Vocational Education Training and Education (TVET) institutions. Some aspects of teaching and learning in TVET cannot be articulated clearly, and trainees cannot perceive how things fit together. The study was conducted to determine the optimal platform to develop mobile Augmented Reality applications for TVET trainees and, to assess the TVET trainee’s readiness for AR-based mobile application training deployment. An online questionnaire was sent to trainees at Industrial Training Institute in Malaysia via the online system. A marker-based Augmented Reality application was created for the Basic Electronic Components module utilizing Unity software, the Vuforia engine, and C# script. Finally, the trainees were allowed to test the generated application. The trainees were interviewed to obtain data on their responses. The results indicate that 83% of the TVET trainees own and use android as the application platform. The results of the pre-test and post-tests used to gauge the success of the Augmented Reality application show that its usage in the sub-learning module significantly improved memory recalls for the TVET trainees. The outcomes showed that the Augmented Reality application suited the participants' learning needs and improved the effectiveness of their learning. The result from this project will serve as a pre-test for determining the most suitable platform to deploy the Augmented Reality application to be developed in the future.
Peningkatan Kemampuan Literasi Numerasi Siswa SMP Swasta Islam Terpadu Karakter Anak Shalih Kota Padang

Numerical literacy is an ability that requires an understanding of basic mathematical concepts and skills. Private Integrated Islamic Junior High School (SMPS IT) "Karakter Anak Shalih" (KAS) has not implemented the Minimum Competency Assessment (MCA) of the 2022/2023 school year, which will be held in 2023. The preparations for MCA implementation should be started in 2022. One of the problems schools encounter is how to prepare the students to conceive numeracy literacy for MCA. The Community Service Activities (CSA) of the Department of Mathematics and Data Science of Universitas Andalas aims to accompany teachers and students to increase students' understanding of basic concepts and skills in mathematics, providing socialization and assistance to teachers and students regarding numeracy literacy knowledge, and supporting schools to improve learning process services. Those activities were carried out in three main stages, namely, the preparation stage, the implementation stage, and the activity evaluation stage. The results of this CSA activity were evaluated by observing the students' understanding of mathematical concepts, numeracy literacy, and improving services that support the learning process. Based on the CSA activities, it was concluded that mentoring activities must be continued to assist schools in dealing with MCA.
PENGEMBANGAN BANGUNAN INFRASTRUKTUR AIR BERSIH DESA CINANGKA KECAMATAN CIAMPEA KABUPATEN BOGOR

Cinangka Village is located in the Ciampea District, Bogor Regency, with a population of 500 people who do not yet have adequate clean water facilities to meet the needs of the villagers. So far, clean water supply facilities have been carried out in a simple way, in the form of taking water from a spring through a pipe, which is distributed to residents incompletely. The target of developing clean water in Cinangka Village this year is the integrated development of clean water facilities for all residents, especially in Cinangka Village. The methods for developing clean water facilities include: (1) Number of people in the next 10 years, (2) Determining the need for clean water in reservoirs, (3) Distribution of water from rivers with diesel pumps to water reservoirs, (4) ) Projection of the number of house connections (SR) connected to clean water facilities. The results and discussion obtained in the next 10 years are an increase in the number of residents of 672 people (112 families), with a planned debit of 2.6075 liters/second. The capacity of the water reservoir (reservoir) is 225.288 liters. The division of the distribution pipe is divided into 3 lines and the distribution of clean water can reach residents considering the location of Cinangka Village is in the hills. The development of clean water facilities in Cinangka Village can be realized with a budget plan (RAB) of Rp. 38,000,000.00.
G-DCS: GCN-Based Deep Code Summary Generation Model

&lt;p&gt;In software engineering, software personnel faced many large-scale software and complex systems, these need programmers to quickly and accurately read and understand the code, and efficiently complete the tasks of software change or maintenance tasks. Code-NN is the first model to use deep learning to accomplish the task of code summary generation, but it is not used the structural information in the code itself. In the past five years, researchers have designed different code summarization systems based on neural networks. They generally use the end-to-end neural machine translation framework, but many current research methods do not make full use of the structural information of the code. This paper raises a new model called G-DCS to automatically generate a summary of java code; the generated summary is designed to help programmers quickly comprehend the effect of java methods. G-DCS uses natural language processing technology, and training the model uses a code corpus. This model could generate code summaries directly from the code files in the coded corpus. Compared with the traditional method, it uses the information of structural on the code. Through Graph Convolutional Neural Network (GCN) extracts the structural information on the code to generate the code sequence, which makes the generated code summary more accurate. The corpus used for training was obtained from GitHub. Evaluation criteria using BLEU-n. Experimental results show that our approach outperforms models that do not utilize code structure information.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
“The Struggle is Real”: The Level of Performance of Grade 8 Students in Araling Panlipunan in the Online Class Settings: Basis for a Proposed Educational Framework

The COVID-19 pandemic has altered our educational landscape, compelling schools to switch to online coursework in place of face-to-face classrooms. The study aimed to know the level of performance of the students in Araling Panlipunan Subject in the online class and the significant relationship of the different factors. The study used Descriptive-correlational research method to gather valuable data to the find the level of students performance and its significant relationship to the factors among the 260 selected Grade 8 students enrolled in Manggahan High School who is using online modality. Simple random sample was used as a sampling scheme. A modified standardized closed-ended survey questionnaire was used in this study and it composed of two parts. The study revealed that the level of performance of the Grade 8 students in the Araling Panlipunan subject in the online class is high, the Students Motivation, Teacher, Course Design, and Instructional Materials has a significant negative and weak relationship to the students’ performance and the internet connection is not significant. Students Motivation, Course Design, and Instructional Materials has a negative degree, which means it has low impact to the students’ performance. Teachers and Internet has a positive degree means that they have a positive impact. Internet is the most dominant factor that affect the performance of the Grade 8 students in the subject Araling Panlipunan. Continue to practice and enhance different plans and techniques to address the performance of the Grade 8 students in the online class settings in the subject Araling Panlipunan.
Capturing high‐resolution digital images for use in forensic document examination

Abstract In the past, pattern disciplines within forensic science have periodically faced criticism due to their subjective and qualitative nature and the perceived absence of research evaluating and supporting the foundations of their practices. Recently, however, forensic scientists and researchers in the field of pattern evidence analysis have developed and published approaches that are more quantitative, objective, and data driven. This effort includes automation, algorithms, and measurement sciences, with the end goal of enabling conclusions to be informed by quantitative models. Before employing these tools, forensic evidence must be digitized in a way that adequately balances high‐quality detail and content capture with minimal background noise imparted by the selected technique. While the current work describes the process of optimizing a method to digitize physical documentary evidence for use in semi‐automated trash mark examinations, it could be applied to assist other disciplines where the digitization of physical items of evidence is prevalent. For trash mark examinations specifically, it was found that high‐resolution photography provided optimal digital versions of evidentiary items when compared to high‐resolution scanning.
Image Processing based Image to Cartoon Generation: Reducing complexity of large computation arising from Deep Learning

This paper proposes an approach to convert real life images into cartoon images using image processing. The cartoon images have sharp edges, reduced colour quantity compared to the original image, and smooth colour regions. With the rapid advancement in artificial intelligence, recently deep learning methods have been developed for image to cartoon generation. Most of these methods perform extremely huge computations and require large datasets and are time consuming, unlike traditional image processing which involves direct manipulation on the input images. In this paper, we have developed an image processing based method for image to cartoon generation. Here, we perform parallel operations of enhancing the edges and quantizing the colour. The edges are extracted and dilated to highlight them in the output colour image. For colour quantization, the colours are assigned based on proposed formulation on separate colour channels. Later, these images are combined and the highlighted edges are added to generate the cartoon image. The generated images are compared with existing image processing approaches and deep learning based methods. From the experimental results, it is evident that the proposed approach generates high quality cartoon images which are visually appealing, have superior contrast and are able to preserve the contextual information at lower comnutational cost.
3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning

Federated Learning (FL), the de-facto distributed machine learning paradigm that locally trains datasets at individual devices, is vulnerable to backdoor model poisoning attacks. By compromising or impersonating those devices, an attacker can upload crafted malicious model updates to manipulate the global model with backdoor behavior upon attacker-specified triggers. However, existing backdoor attacks require more information on the victim FL system beyond a practical black-box setting. Furthermore, they are often specialized to optimize for a single objective, which becomes ineffective as modern FL systems tend to adopt in-depth defense that detects backdoor models from different perspectives. Motivated by these concerns, in this paper, we propose 3DFed, an adaptive, extensible, and multi-layered framework to launch covert FL backdoor attacks in a black-box setting. 3DFed sports three evasion modules that camouflage backdoor models: backdoor training with constrained loss, noise mask, and decoy model. By implanting indicators into a backdoor model, 3DFed can obtain the attack feedback in the previous epoch from the global model and dynamically adjust the hyper-parameters of these backdoor evasion modules. Through extensive experimental results, we show that when all its components work together, 3DFed can evade the detection of all state-of-the-art FL backdoor defenses, including Deepsight, Foolsgold, FLAME, FL-Detector, and RFLBAT. New evasion modules can also be incorporated in 3DFed in the future as it is an extensible framework.
Live Demonstration: A Wearable Armband for Real-Time Control of Multi-DOF Robotic Actuators

This demonstration presents a smart wearable armband for hand gesture recognition interfaced with a 6-DOF robotic arm which actuates the user's movements. The armband is composed of seven modules which detect the muscular activity beneath them, fuse the data together, predict the performed gesture, and transmit the high-level information to an external computer via a Bluetooth Low Energy (BLE) communication. There, a software module transforms the sequence of gestures into consistent commands for the robotic arm. The observed responsiveness and accuracy make this armband suitable for the real-time control of robotic limbs in mixed reality scenarios.
Analysis of Corporate Financial Fraud Pathway Factors and Pathway Identification Research-Based on ISM-MICMAC Model

In recent years, China's listed companies in various fields have frequent financial fraud in the market—this paper first constructs five dimensions of corporate financial fraud factor identification and extracts twenty representative indicators. Secondly, the interpretative structural model is used to determine the hierarchical relationship between the influencing factors. Then, the cross-influence matrix multiplication is used to analyze the driving force and dependence of each influencing factor, and the dependence-driving force diagram is drawn to verify the rationality of the hierarchical relationship between the influencing factors in the interpretative structural model. Finally, based on the results of the ISM-MICMAC Model, the conclusions are drawn, and suggestions are put forward according to the actual situation. This paper analyzes the causes of corporate financial fraud, explores the means of corporate financial fraud, and constructs a framework for identifying financial fraud, which has specific reference significance for the identification, prevention, and governance of corporate financial fraud in China.
Humanoid motion generation in a world of stairs

Consider the problem of generating humanoid motions in an environment consisting of horizontal patches located at different heights (world of stairs). To this end, the paper proposes an integrated scheme which combines footstep planning and gait generation. In particular, footsteps are produced by a randomized algorithm that guarantees both feasibility and quality of the plan according to a chosen criterion; whereas for 3D gait generation we devise an ad hoc extension of the Intrinsically Stable MPC scheme. In its basic form, the proposed scheme addresses the off-line case (known environments), but a sensor-based adaptation is developed for the on-line case (unknown environments) based on an anytime version of the footstep planner. In order to validate the proposed approach, we present simulations in CoppeliaSim for the HRP-4 humanoid robot navigating scenarios of different complexity, both in the on-line and off-line case.
Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems

Learning Classifier Systems (LCSs), a series of rules-based evolutionary computation techniques, which have solved a wide range of discrete-feature-based applications over their 40 years of history. Yet, adapting LCSs to complicated continuous-feature-based domains is still an unsolved challenge. This paper proposes new LCS methods specialized for continuous problems. Concretely, phenotype-orientated Absumption, Subsumption, and Mutation are proposed and employed to form and revise rules directly in a single iteration according to the target problems' inherent data distribution, allowing rules to be released from the burden of directly carrying the information of previous instances. Furthermore, a novel representation format supporting fine-grained generalization degree modification is also proposed. Experiments demonstrate for the first time that LCSs are promising techniques in efficiently producing models with satisfactory prediction performance for complicated continuous problems.
Research on Presentation Generation Method of Credential Selective Disclosure in Self-Sovereign Identity

Nowadays, the developing trend of digital identity is Self-Sovereign Identity (SSI). The construction and improvement of SSI management system and related standards also attract more and more attention. However, the SSI projects that have been made public are still imperfect in terms of selective disclosure of the Verifiable Credential (VC). To disclose the least information in Verifiable Presentation (VP) and increase the privacy protection of holder’s information, we propose a VC selective disclosure method for multiple types of claims. Specifically, this method is based on the W3C’s VC standard for extensions, divides claim information into five categories (number, numeric string, non-numeric string, time, and Boolean), divides the disclosure into two categories (exact value and range value), and is based on Zero-Knowledge Range Proof and Simplified Payment Verification (SPV) idea to precisely respond to the verifier’s assertion request. The proposed scheme can effectively answer all kinds of assertion requests with anti-repudiation, privacy protection, and security, which enriches and improves the VP generation method of VC selective disclosure and contributes to the further development of SSI.
A Novel Version Control Scheme for Supporting Interrupted Product Concept Sketching

This paper presents an application of an off-the-shelf software version control system (VCS) for supporting the different phases that naturally occur during product concept sketching. Concept development is a cognition-dominant activity that passes through repeating phases of creation (sketching), evaluation and planning. The contemplative phases promote diversification, modification, and interruptions in the activity of sketching. It is argued that VCS has the potential to support the natural process of concept development. Eight designers were involved in a pilot study to solve two distinct problems using conventional and VCS-mediated systems. It is found that VCS supports the explorative nature of conceptualization. Although it did not show much difference in the number of finished concepts, VCS aided the designers in the process of exploring multiple alternatives and effectively managed the natural and imposed interruptions. This paper includes a pictorial representation of the various concepts explored through concept sketching.
The constitutionality of the new Indian CERT-In VPN rules

Journal Article The constitutionality of the new Indian CERT-In VPN rules Get access Siddharth Chaturvedi, Siddharth Chaturvedi Department of Law, Dharmashastra National Law University, Jabalpur, Lucknow, Uttar Pradesh, India Search for other works by this author on: Oxford Academic Google Scholar Himanshi Srivastava Himanshi Srivastava Department of Law, Dharmashastra National Law University, Jabalpur, Lucknow, Uttar Pradesh, India himanshi0908law@gmail.com Search for other works by this author on: Oxford Academic Google Scholar International Data Privacy Law, ipad015, https://doi.org/10.1093/idpl/ipad015 Published: 24 July 2023