Reviewerly/exHarmony huggingface dataset:
XOR Hash in Blockchain’s Header to Mitigate Storage Constraints

Abstract The usage of internet and technology inspires the industries to work more on IoT based applications by decentralizing the data storage to ensure data integrity. In such cases, we use blockchain however, with most IoT applications there is always a storage constraint where the IoT devices keep generating the data every few minutes resulting in infinite growth of blockchain that any simple IoT devices would not be able to handle. The idea of deleting old blocks and storing only the recent data by labeling them as expired and unexpired blocks while storing Xor of hashes of deleted set of blocks. Although it resolves some of the issues and attacks, there can be some communication overhead when a node fetches some deleted blocks from other nodes, to validate these blocks, we might need whole set of blocks depending on the set size. Hence arriving at a new idea of adding Xor hash in the block header itself, that resolves the communication overhead along with that full nodes will also be used to always maintain the ledger from the beginning. These ideas will be implemented in an effective way that can be used in real world IoT based applications or any other storage constrained applications
A simple polynomial-time approximation algorithm for the total variation distance between two product distributions

Boosting is a celebrated machine learning approach which is based on the idea of combining weak and moderately inaccurate hypotheses to a strong and accurate one. We study boosting under the assumption that the weak hypotheses belong to a class of bounded capacity. This assumption is inspired by the common convention that weak hypotheses are "rules-of-thumbs" from an "easy-to-learn class". (Schapire and Freund~'12, Shalev-Shwartz and Ben-David '14.) Formally, we assume the class of weak hypotheses has a bounded VC dimension. We focus on two main questions: (i) Oracle Complexity: How many weak hypotheses are needed to produce an accurate hypothesis? We design a novel boosting algorithm and demonstrate that it circumvents a classical lower bound by Freund and Schapire ('95, '12). Whereas the lower bound shows that $\Omega({1}/{\gamma^2})$ weak hypotheses with $\gamma$-margin are sometimes necessary, our new method requires only $\tilde{O}({1}/{\gamma})$ weak hypothesis, provided that they belong to a class of bounded VC dimension. Unlike previous boosting algorithms which aggregate the weak hypotheses by majority votes, the new boosting algorithm uses more complex ("deeper") aggregation rules. We complement this result by showing that complex aggregation rules are in fact necessary to circumvent the aforementioned lower bound. (ii) Expressivity: Which tasks can be learned by boosting weak hypotheses from a bounded VC class? Can complex concepts that are "far away" from the class be learned? Towards answering the first question we {introduce combinatorial-geometric parameters which capture expressivity in boosting.} As a corollary we provide an affirmative answer to the second question for well-studied classes, including half-spaces and decision stumps. Along the way, we establish and exploit connections with Discrepancy Theory.
A Design for Neural Network Model of Continuous Reading

Cognition and learning are exceedingly modeled as an associative activity of connectionist neural networks. However, only a few such models exist for continuous reading, which involves the delicate coordination of word recognition and eye movements. Moreover, these models are limited to model only orthographic level of word processing with predetermined lexicons. Here, we present a conceptual design of a developmentally plausible neural network model of reading designed to simulate word learning, parafoveal preview activation of words, their later foveal word recognition including phonological decoding, and forward saccade length as a control mechanism for intake of new textual information. We will discuss the theoretical advancements of the design and avenues for future developments.
INTERNET INFORMATION COLLECTION AND DATA ANALYSIS BASED ON ARTIFICIAL INTELLIGENCE, 1-9. SI

With the accelerated advancement of computer and network communication technology, the explosive growth of Internet information, the advancement of science and technology, and the advancement of Internet technology, contemporary artificial intelligence is also advancing quickly, and the ongoing advancement of machine learning is accompanied by a significant number of new developments.And the amount of jumbled information data has significantly expanded.Today, practically every user must search through a lot of stuff online every day.We need to apply artificial intelligence to better gather, organise, and store these vast volumes of information data.By gathering large amounts of data and conducting simulation tests, it is possible to efficiently address the issues of a lengthy information collection process and low analytical data accuracy.Insufficient important information will be produced by data collection and processing, making it impossible to satisfy users in terms of accuracy and applicability.However, the two wellknown data systems Hadoop and Spark handle comparable issues and enable quick and precise analysis of large amounts of data in the context of modern big data.
RACISM IN CHIMAMANDA NGOZI ADICHIE’S AMERICANAH: A CRITICAL DISCOURSE ANALYSIS

Since the slavery and colonial eras, racism and ethnic issues, power and class relations between individuals, entities, communities and dominance have been the major issues in the world. Racism enacts superiority of a race over another, and this act affects people not only on interpersonal level but also through the broader structures of society most notably in the system of education, justice, media, policing, immigration and employment as well as through hate activities and government policies. This study portrays how Chimamanda Ngozi Adichie is able to manipulate her choice of words in describing the stigma that a society has attached to individuals because of their colour. Fairclough and Dijk’s Critical Discourse Analysis approaches guided the analyses. CDA is an indispensable tool for the analysis of any discourse that portrays social practices. The study concludes that discrimination is not only done by mainstream or the in-group members of a society but the out-group members also engage in this act of disassociation which is caused by the migration of people from one country to the other either for better opportunities or for educational purposes as portrayed in the novel.
Additive interaction modelling using I-priors

Additive regression models with interactions are widely studied in the literature, using methods such as splines or Gaussian process regression. However, these methods can pose challenges for estimation and model selection, due to the presence of many smoothing parameters and the lack of suitable criteria. We propose to address these challenges by extending the I-prior methodology (Bergsma, 2020) to multiple covariates, which may be multidimensional. The I-prior methodology has some advantages over other methods, such as Gaussian process regression and Tikhonov regularization, both theoretically and practically. In particular, the I-prior is a proper prior, is based on minimal assumptions, yields an admissible posterior mean, and estimation of the scale (or smoothing) parameters can be done using an EM algorithm with simple E and M steps. Moreover, we introduce a parsimonious specification of models with interactions, which has two benefits: (i) it reduces the number of scale parameters and thus facilitates the estimation of models with interactions, and (ii) it enables straightforward model selection (among models with different interactions) based on the marginal likelihood.
Building Information Modeling (BIM) Basic Competency Training to improve Building Construction Service Design Products in Banyumas Regency

Background: Building Information Modeling (BIM) is a technology in the field of Architecture, Engineering and Construction that is capable of simulating all information in a development project into a three-dimensional (3D) model. One of the government's efforts in dealing with the Industrial Revolution 4.0 is implementing the use of BIM, and construction technology innovations in each project cycle. By applying the BIM method, both managers, consultants and contractors are able to save processing time, costs incurred and the required workforce. The application of BIM technology can minimize the impact of work delays, increased costs, and construction failures. Contribution: The results of the analysis of the needs of partners show that not all construction service businesses, especially in Banyumas, know and implement BIM. This community service activity is intended to provide basic training to construction service businesses regarding the operation of BIM using Tekla Structures. Method: The method used is a partner needs analysis survey, lectures, demonstrations, discussions, and mentoring. Results: The results of this dedication show that as many as 81% of participants understand the BIM concept after participating in this activity. Conclusion: The holding of this training will provide an overview, improve skills for construction services in Banyumas. Furthermore, it can be applied to the construction process (planning, implementation and maintenance), so that it will produce competitive construction service design products
Design and Evaluation of the Extended FBS Model Based Gaze-Control Power Wheelchair for Individuals Facing Manual Control Challenges

This study addresses the challenges faced by individuals with upper limb disadvantages in operating power wheelchair joysticks by utilizing the extended Function–Behavior–Structure (FBS) model to identify design requirements for an alternative wheelchair control system. A gaze-controlled wheelchair system is proposed based on design requirements from the extended FBS model and prioritized using the MosCow method. This innovative system relies on the user’s natural gaze and comprises three levels: perception, decision making, and execution. The perception layer senses and acquires information from the environment, including user eye movements and driving context. The decision-making layer processes this information to determine the user’s intended direction, while the execution layer controls the wheelchair’s movement accordingly. The system’s effectiveness was validated through indoor field testing, with an average driving drift of less than 20 cm for participates. Additionally, the user experience scale revealed overall positive user experiences and perceptions of the system’s usability, ease of use, and satisfaction.
The Effectiveness of the e-Student Worksheets to Improve Students' Learning Outcomes and Critical Thinking Skills on Digestive System Concepts

The 21st-century education focuses on emphasizing the use of technology and information. Nevertheless, only some media can support interactive learning. Therefore it causes low student learning outcomes due to a lack of interest in participating in learning. The e-student worksheets are the innovations expected to attract students to be more active during learning. This study aimed to determine the effectiveness of using the e-student worksheets to improve learning outcomes and critical thinking skills as measured by the Kolmogorov-Smirnov method using pre-test and posttest data collection techniques. The study's results stated that the experimental class's posttest average value was 77.2 while that of the control class was 64.4. So the average value of the experimental class is higher than the control class. Based on statistical analysis, proving the results of the significance of the independent sample t-test, namely 0.00 0.05, it can be concluded that using the e-student worksheets effectively improves learning outcomes and students' critical thinking skills.
Capacity Building of Library Human Resources through Senayan Library Management System (SLIMs) Training for Digital-Based Collection Processing

Background: Library is one of the supporting elements in the learning process in the institutions. The circulation of borrowing and returning books is an activity that runs in the library. The process of improving library services can be carried out by officers through various aspects started from the development of collection materials to the dissemination of information. However, in current conditions, there are still many circulation service processes carried out by libraries using conventional media by recording in the library ledger for every user who borrows books. Contribution: The purpose of the activity is to provide knowledge to library managers to be able to take advantage of the Senayan Library Management System (SLiMS) in improving library services. Method: The methodology used is through training and counseling to a librarian. Results: The results of community service activities that have been carried out are the transformation of library processing using digital media in the form of the SLiMS application. Improved services to library users are becoming more optimal. This can be seen in the list of visits increasing to 30% every month and regulations on borrowing books reaching 25%, while delays in returning books have decreased to 2%. This has an impact because the process of tracking book collections is very easy so that the identities of the users are stored and can be monitored by librarian. Conclusion: Services to library members are getting better and the knowledge of library managers is getting optimal in carrying out library processing with the help of SLiMS
Media for History Learning In the Digital Era

Background: In the information age and today's digital age, educators play an important role in shaping good character. Educators have excellent opportunities to develop professional competencies that can be enhanced, one of which is the ability to technically and creatively create innovative learning designs that facilitate educators' ability to optimize students' abilities. Contribution: The contribution of this research is to raise awareness among educators in the digital arena of what is required to develop innovative and creative History learning media. Other matters related to educators' confidence in leveraging technology in History learning also need to be optimized. Method: Synthesis method. Researcher synthesized information naturally to help others see connections between things. Results: The t-test result indicated that the post-test scores were significantly higher for the experimental group (M = 41.71, SD = 2.14) than for the control group (M = 20.41, SD = 4.3), t = 4.130, p &lt; .001. In other words, there was a significant difference in the mean post-test results between the experimental and control groups. As such, Edmodo can positively impact the academic performance of higher education students. When being applied to the experimental and control methods, the ratio was 2.62, which was greater than the reference value (1.2). This showed that Edmodo effectively improved students' study skills and knowledge. Conclusion: The impact of this result can be explained by the fact that Edmodo increased the use of collaborative e-learning in the experimental group to keep students informed. A good website provides students with high-quality information, creativity, participatory activities and collaboration in a category called Social Networking and Communication. The application of digital literacy by utilizing media in History learning can be done by utilizing the existing facilities at Edmodo
Perancangan Database Akuntansi Menggunakan Microsoft Access pada Usaha Konveksi Taylor Abadi

This service aims to help design accounting applications at the Konveksi Taylor Abadi Convection Business using Microsoft Access. The application is designed according to the needs of the store, where this application has a form that is equipped with Visual Basic for Application (VBA) and other facilities such as an account list form, inventory list, fixed asset list, transaction recording consisting of sales, purchases, raw material usage, allocation forms. factory overhead costs, direct labor costs, finished production or finished products. This application provides financial reports ranging from reports on the cost of production, profit and loss reports, reports on changes in capital, balance reports and cash flow reports as well as other data needed by the company. From the results of this service, it was found that there were deficiencies in the recording and financial reports at Taylor Abadi Convection. Therefore, the author provides a solution for Konveksi Taylor Abadi Convection to use Microsoft Access computer applications in recording transactions and preparing financial reports in accordance with Financial Accounting Standards (SAK) quickly and automatically.
Perancangan Sistem Informasi Konsultasi Dokter Pada Lapas Narkotika Kelas IIB Muara Sabak

Narcotics Correctional Institutions (Lapas) provide guidance, mental recovery, and behavior for narcotics users and dealers. Apart from that, prisons are also required to maintain the health of their inmates, as in the case study of this research at the narcotics prison class II B Muara Sabak. Health services that have been running so far are still conventional or manual, in which the inmates want to seek treatment and health checks through health workers (nurses) assigned to the prison, but in consultation services to doctors, nurses are always in contact via telephone or doctors can come directly. This is sometimes inconvenient, especially for busy doctors who can't immediately pick up the phone or who have the problem of telephone interference during consultations. For this reason, it is necessary to have a website-based consulting service system that needs to be designed to overcome this problem. The methods used in this research are problem analysis, material collection, system design, and prototypes. This research will produce a prototype of a health service information system and a doctor's consultation in which this system provides consultation services to doctors via chat via an online application system so that doctors can handle problems without having to come in person or via telephone. Consultation records and medical record history will always be stored in a database that makes it easier for officers to trace back, and health services for prison members can be handled quickly and effectively.&#x0D; Keywords : prison, consultation, doctor, online
On the Task of Localization of Road Infrastructure Objects Based on Audio Signals

More and more effort is being invested in the development of unmanned vehicles. Often video cameras, lidars, radars, etc. are used. However, there are situations on the road when an object is not visible on the video, although it can be heard. Therefore, this article is devoted to the development of a system to build a map of objects based on audio signals, as well as determining the distance to objects. At the beginning of the article a review of existing methods of detection and localization of objects by acoustic methods is given. A bench installation for collecting a dataset of sounds on public roads is described. This paper discusses a method of object detection based on audio signals of road infrastructure. The architecture and software implementation of the audio signal collection and processing platform is given. Load testing is given at the end, as well as a description of the full-scale experiment and the results are given.
Modular Facility of Quantum Key Distribution in a Free Space

The possibility of implementing the technology of quantum key distribution on discrete variables in free space is demonstrated. The experimental setup is based on mass produced equipment – terminals for atmospheric optical communication lines and the scientific and educational complex EMQOS 1.0. The latter is designed for conducting educational and research work in the field of quantum optics. The nodes that need to be modified in equipment have been identified. Both terminals for atmospheric optical communication lines and quantum key distribution units were modified accordingly in order to implement the modular principle of building quantum communication systems in the atmosphere.
KONSTANTIN USHINSKY’S IDEAS: A DEVELOPMENT PATH FOR MODERN EDUCATION

The paper considers ideas developed by Konstantin D. Ushinsky’s and argues their relevance for modern-day education and pedagogy. Issues analyzed in the paper include the meaning behind education and upbringing as well as their correlation, ways of shaping social and pedagogical consciousness, interrelation between theory and practice of education, pedagogy as an art, the folk principle, the anthropological principle, the nature conformity principle, the role of labor, and didactic ideas.
Klasifikasi Malicious URL Menggunakan Algoritma Improved Random Forest dan Random Forest Berbasis Web

URLs are very much on the network of computer systems. Moreover, nowadays all activities use an online system. Starting from social media, and marketplaces to group chat applications. An early prevention system from malicious URL attacks is needed to counteract the large number of URLs circulating in the online system. Previously detection of malicious URLs based on blacklisting and UURLs are very much on the network of computer systems. Moreover, nowadays all activities use an online system. Starting from social media, marketplaces to group chat applications. An early prevention system from malicious URL attacks is needed to counteract the large number of URLs circulating in the online system. Previously, malicious URL detection based on Blacklisting and Heuristic URLs could not recognize the new type of malicious URL without first being analyzed. For this reason, a technique is needed to detect malicious URLs using machine learning. The lack of machine learning in the detection of malicious URLs is that it is not 100% able to detect malicious URLs precisely. This study will use an improved random forest approach with a random forest as a classifier to detect malicious URLs. Improved Random Forest is a Random Forest that is used using evaluator features and filter instances to improve the accuracy of ordinary random forests. This study concluded that both methods of improved random forest and ordinary random forest have an accuracy value above 98%.
Rancang Bangun Sistem Kehadiran Berbasis Mapping Location

Utilization of technology is an essensial needs of the Gunung Mas Cell Padang Counter for managing employee attendance data which is has many branches in the West Sumatra area. At this time the management of employee attendance data uses the Whatsapp application. This presence consist of the employee's entry and completion hours. The method of taking presence on WhatsApp is by using direct photo taking and using the share location feature to find out whether the employee is really at the location of the counter in concerned. The use of the WhatsApp application makes counter management overwhelmed and has difficulty checking the attendance of its employees because the data sent on WhatsApp is not properly organized. For that we need an information system that can solve this problem. With this Mapping Location-Based Attendance System Application, it is hoped that it can provide accurate and detailed reports on employee attendance and existence so that it will be easier for employees to provide proof of attendance and assist the management of the Gunung Mas Cell Padang Counter in managing employee attendance data so that it can run well and effective.