Reviewerly/exHarmony huggingface dataset:
The steganographic method with multiple access based on frequency-spatial matrices

The solution to some practical tasks with the help of steganography requires the organization of multiple access to a steganographic information transmission channel.At the same time, existing developments imply the use of MC-CDMA technology to solve these tasks, which has a strictly predetermined number of shared channels, requires the simultaneous embedding of additional information delivered from all users and is disintegrated with the applied steganographic algorithm.In this paper, a full-fledged steganographic method, with multiple access based on the use of frequency-spatial matrices has been developed.In the developed method, two code attributes are allocated to each user: frequency and spatial, on the basis of which codewords that are used to transmit information are generated.The total number of registered users operating in the system based on the proposed steganographic method can reach the value of J=4800, while the total number of users simultaneously transmitting information can reach the value of N=100 while supporting the practically acceptable system parameters.At the same time, the embedding of additional information by the users occurs independently of each other at any time convenient to them.To ensure the largest number of simultaneously operating users and minimize the level of intra-system interference, an S-code of spatial arrangements, as well as an F-code of frequency arrangements based on the Reed-Solomon code, are proposed.The proposed steganographic method with multiple access is characterized by flexibility in the allocation of resources of the steganographic channel: if necessary, the throughput of the steganographic channel can be increased with a decrease in PSNR values, or, conversely, the reliability of perception of the steganographic message can be increased by reducing the number of users simultaneously operating in the system.
The Effect of TRAP Paraphrasing Strategy on Improving Secondary Stage Students' EFL Reading Comprehension of Authentic Texts

This study aimed at investigating the impact of the TRAP paraphrasing strategy on improving secondary stage students’ EFL reading comprehension of authentic texts. Participants were (60) second year secondary stage students at Mahallat Abo-Ali Secondary School for Girls, East Mahalla Educational Directorate, Gharbia Governorate, in the first term of the 2021/2022 academic year. The study adopted the quasi-experimental design using two groups: an experimental group (n=30) and a control one (n=30). To collect the data, the following instruments were employed: an EFL Reading Comprehension Skills Checklist, an EFL Reading Comprehension test and an Authentic Texts Selection Criteria Checklist. The experimental group was taught using the TRAP paraphrasing strategy, whereas the control group was taught using regular instruction. Research results revealed that there was a statistically significance difference between the mean scores of the two groups on the EFL Reading Comprehension Skills test in favor of the experimental group.
The Effect of Modern Strategy Implementation on Smart Infrastructure on Increasing Employee Performance at University in Indonesia

The design of strategies to increase the potential benefits of an organization is very important for renewal by implementing modern strategies. Smart infrastructure is a digital system that functions to improve performance, welfare, and increase cost efficiency and resource consumption. Previous research shows a significant increase in smart infrastructure which is influenced by the ability of the community. This study aims to analyze the success of implementing a renewal strategy for Smart Infrastructure for employees at university which we can assess from the performance of the university employees. Primary data was collected through questionnaires with a sample of 40 respondents which was then processed quantitatively by ANOVA test and LSD test using the Statistical Package for the Social Sciences (SPSS). The results showed that the percentage rate accepted was 78%, so that the implementation of a smart infrastructure system could increase employee productivity in university.
Distinguishing Different Classes of Late Paleozoic Ice Age Mass-Transport Deposits in Outcropping Examples from Eastern Paraná Basin, Brazil

Ice age mass-transport deposits (MTD) occur in multiple stratigraphic intervals within the Permocarboniferous Itararé Group, in the Paraná Basin, and are exposed in several disconnected quarries and road cuts around the region of Mafra, southern Brazil. The most typical deposits are diamictites with muddy matrix, but silty-sandy diamictites and metric intercalations of deformed layers of sandstones and siltstones occur subordinately. Similar MTD facies have been described from better exposed and time equivalent successions in western Argentina. There, because of the kilometric dimension of the outcrops, MTDs can be mapped in their plenitude, giving better insights about their emplacement. In this paper we describe the Brazilian MTDs and infer their modes of emplacement supported by comparisons with published Argentinean examples. Based on matrix constitution, presence of coherent blocks and rafts and emplacement phases, at least four types of MTDs can be identified: 1) MTD with clayey matrix and isolated sandstone blocks; 2) MTD represented by diamictites with folded blocks of diamictite, possibly corresponding to two phases of remobilization; 3) MTD of sandy silt matrix (evolved stage), and formed by deformed bands of sandstones and siltstones (mature stage); and 4) MTD with rafts of heteroliths and sandstone blocks. In general, MTDs sit on and often erode fine-grained substrates such as thin-bedded turbidites and shale. The regional geological setting at Mafra does not support confinement in paleovalleys, but rather, a more open embayment. Collapse of inclined depositional slopes build because of the high sediment supply associated with deglaciation was the major control on MTD emplacement. However, the inferred proximity of the ice margin during slope failure was variable, suggesting MTD formation during different stages of a glacial cycle.
DeFi Governance and Decision-Making on Blockchain

This research paper explores the concept of Decentralized Finance (DeFi) and the importance of governance and decision-making in DeFi platforms. The paper reviews the literature on traditional finance governance models and blockchain-based governance mechanisms in DeFi platforms, and discusses the challenges and opportunities in designing decentralized governance models for DeFi platforms. The research question is "What are the challenges and opportunities in designing decentralized governance models for DeFi platforms?" and the study objectives are to review the literature on traditional finance governance models, analyze blockchain-based governance mechanisms in DeFi platforms, and discuss the challenges and opportunities in designing decentralized governance models for DeFi platforms. A mixed-methods approach is utilized, combining a systematic review of the literature with a survey of DeFi platform users. The results reveal that there is a growing interest in decentralized governance mechanisms among DeFi platform users, but there are also several challenges that need to be addressed in designing effective decentralized governance models. This research contributes to the ongoing discussion on the importance of governance and decision-making in DeFi platforms, and provides insights for the design and implementation of decentralized governance mechanisms in the DeFi ecosystem.
Extrapolation in Gridworld Markov-Decision Processes

Extrapolation in reinforcement learning is the ability to generalize at test time given states that could never have occurred at training time. Here we consider four factors that lead to improved extrapolation in a simple Gridworld environment: (a) avoiding maximum Q-value (or other deterministic methods) for action choice at test time, (b) ego-centric representation of the Gridworld, (c) building rotational and mirror symmetry into the learning mechanism using rotational and mirror invariant convolution (rather than standard translation-invariant convolution), and (d) adding a maximum entropy term to the loss function to encourage equally good actions to be chosen equally often.
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Recent research demonstrates the effectiveness of using fine-tuned language models~(LM) for dense retrieval. However, dense retrievers are hard to train, typically requiring heavily engineered fine-tuning pipelines to realize their full potential. In this paper, we identify and address two underlying problems of dense retrievers: i)~fragility to training data noise and ii)~requiring large batches to robustly learn the embedding space. We use the recently proposed Condenser pre-training architecture, which learns to condense information into the dense vector through LM pre-training. On top of it, we propose coCondenser, which adds an unsupervised corpus-level contrastive loss to warm up the passage embedding space. Retrieval experiments on MS-MARCO, Natural Question, and Trivia QA datasets show that coCondenser removes the need for heavy data engineering such as augmentation, synthesis, or filtering, as well as the need for large batch training. It shows comparable performance to RocketQA, a state-of-the-art, heavily engineered system, using simple small batch fine-tuning.
Homogeneous weight enumerators over integer residue rings and failures of the MacWilliams identities

The MacWilliams identities for the homogeneous weight enumerator over Z/mZ do not hold for composite m ≥ 6.For such m, there exist two linear codes over Z/mZ that have the same homogeneous weight enumerator, yet whose dual codes have different homogeneous weight enumerators.
Scientific and Technological Progress of the early XX century in the Periodicals of the Russian Empire (Journal “Zodchij”, 1902)

The article is devoted to the architectural and art-technical journal "Zodchij", published by the Imperial St. Petersburg Society of Architects since 1872, as a historical source of scientific and technological progress in the Russian Empire.The materials for the article were the issues of the magazine in 1902, when the publication was published weekly.The authors have identified significant and characteristic topics of publications posted in the journal.Among them: science and education as the basis of technical development in the Russian Empire at the beginning of the 20th century, technical innovations in the field of urban planning, architectural projects: scientific and technological progress in public, residential and urban architecture.Analysis of publications in the journal "Zodchij" shows that in the technical development of the Russian Empire at the beginning of the 20th century, an important role was assigned to the formation of professional personnel.The publication also demonstrates the importance of the societies of architects and engineers in scientific and technological progress, and how rapidly the technical development in the early twentieth century in the field of urban planning was going on, which is associated with a number of topical technical innovations.
A CP-based approach for mining sequential patterns with quantities

This paper addresses the problem of mining sequential patterns (SPM) from data represented as a set ofsequences. In this work, we are interested in sequences of items in which each item is associated with its quantity.To the best of our knowledge, existing approaches don’t allow to handle this kind of sequences under constraints.In the other hand, several proposals show the efficiency of constraint programming (CP) to solve SPM problemdealing with several kind of constraints. However, in this paper, we propose the global constraint QSPM whichis an extension of the two CP-based approaches proposed in [5] and [7]. Experiments on real-life datasets showthe efficiency of our approach allowing to specify many constraints like size, membership and regular expressionconstraints.
A Study of Establishing an Academic Classification System on New Technology Field

In this study, to propose a classification system for new technology academic fields, the current state of domestic and foreign new technology academic classification system was analyzed and implications were derived. Based on this, the establishment (draft) of the academic classification system for 21 new technology fields was proposed. As a result, the artificial intelligence application in the field of artificial intelligence and the artificial intelligence platform part were integrated, and the items were adjusted by deleting the subcategories for similar items. Second, in the case of big data, a big data classification system was proposed by reflecting the opinion that service and academic perspectives are mixed. Third, in the case of next-generation semiconductors, a new technology classification system was proposed based on the common recognition of those working in the industry, academia and research institutes. Fourth, in the case of customized health care, health care software, digital treatment study, dormant health (bio living body), medical device development study using bio-signal measurement and information, bio-health regulation and licensing, etc. were included. Lastly, the classification of the new energy industry was readjusted by referring to the National Science and Technology Standard Classification System.
Design &amp; Development of a Cost-Effective User-Friendly Fall Detection Device Using IOT Technology

Falls are a crucial health problem mainly among the older people and the newly born babies too. In recent years, there are many systems that aimed at detecting the falls has increased adequately. This kind of device is aimed to provide for helping out the both biomedical engineers and clinicians. Our team has implemented a new technology towards the integration of fall detection in smartphones with the use of IOT methods and gyroscope sensor in the detection algorithm. The main objective of our work is to build an android-based fall detection system at cheap price for the children and elderly. The challenges like power consumption, sensing limitation, real-life conditions, real-time operations are well identified by us. The hardware part comprises the sensor which detects the position of the body of the user whether it is on a falling mode or not and the Node MCU where all the processing is done. The software consists of some coding and some formulas that detect the fall and provoke to ring the alarm. Key Words: fall detection, accelerometer, non-invasive tool, older adults, IoT
Analysis of Issues and Solutions to avoid Vendor Lock-In Situation in Cloud Migration

Cloud computing has become a widespread technology that offers many benefits to businesses, including scalability, flexibility, and affordability. However, cloud computing comes with an inherent risk known as dependency on cloud service providers. Suspension of a cloud provider refers to a situation where a customer cannot change cloud provider due to various reasons such as: B. high switching costs, proprietary technologies and provider-specific functions. This article takes a detailed look at the problem of dependency on cloud service providers, its causes and impact on organizations with examples, statistics and charts. Keywords - Vendor lock-in, cloud computing, cloud migration issues
Enhancing Privacy and Security in Cloud Computing Using the Covenant Code Exchange

Abstract This paper proposes a model for enhancing privacy and security in cloud computing known as the Covenant Code Exchange (CCE). The model is proposed as part of the Service Level Agreement (SLA) for cloud providers and users as well as a third party (a witness). In particular, the model we propose allows a cloud provider, user and a witness to exchange covenant codes during transactions to ensure privacy, security and accountability. The covenant code exchange (CCE) requires the code of all parties that are involved for a successful transaction. A key feature of the proposed model is that a transaction cannot be completed with the codes of all parties concerned. Our model is very efficient and effective; when compared to other models; certification, accreditation, authorization and authentication, it involves a transaction cannot be completed until all parties have exchange of covenant codes. Additionally, when there is a breach in security, all parties will be held accountable. This ensures that each party is critical and cautions before, during and after a transaction is successfully executed.
A Heuristic Algorithm for LPN Decoding with Improved Memory and Time Efficiency

Abstract The LPN problem, which forms the basis of many lightweight and post-quantum cryptographic schemes, has recently received considerable attention. The solution to this problem typically involves two distinct phases, namely the reduce phase and the decode phase. While current research primarily focuses on the reduce phase, the most advanced decoding algorithm, FWHT, suffers from high computational costs in terms of time and space complexity. In this article, we propose a novel LPN decoding algorithm, GNS, which utilizes a heuristic approach to achieve significantly reduced memory and time complexity compared to FWHT. Experimental comparisons between the FWHT and GNS algorithms were conducted, with the computational results demonstrating that the proposed GNS algorithm is both efficient and superior to FWHT.
Capturing Dynamic Interests of Similar Users for POI Recommendation Using Self-Attention Mechanism

The integration of location-based social networks and POI recommendation systems has the potential to enhance the urban experience by facilitating the exploration of new and relevant locales. The deployment of graph neural networks (GNNs) drives the development of POI recommendations, but this approach also brings with it the challenge of over-smoothing, where information propagation between nodes in the graph can lead to an excessive homogenization of the data. In prior works that utilized GNNs for POI recommendation, the bipartite graphs constructed from users and POIs as nodes failed to incorporate temporal dynamics, limiting the scope of the analysis to only spatial structure information. To circumvent this issue, the incorporation of a temporal component can be introduced during the aggregation process of graph convolution. In light of these considerations, the present study proposes a novel regionalized temporal GCN (RST-GCN) recommendation model that leverages self-attention mechanism to capture various levels of temporal information to better reflect the dynamic changes of time. By combining the graph’s spatial structure with geospatial features, similar users are distributed into distinct regional subgraphs, effectively avoiding the influence of non-similar users. The efficacy of the proposed model has been demonstrated through empirical evaluations conducted on two real-world datasets.
A Study of Pragmatic Stylistic Features of Reading Comprehension Texts in College English Test Band-4: Taking the Texts in December 2021 as an Example

As one important test of English proficiency during college in China, CET-4 has long focused on examining students’ reading ability since it started. To probe a nerve of it, this paper is lighted by the framework of pragmatic stylistics, combining ways of Black’s signposts and Read’s stylistic list. From the perspective of structure, vocabulary, and grammar, the pragmatic stylistic features of reading comprehension texts in CET-4 in December 2021 are thus analyzed. The results show that argumentative essays are structured on the author’s opinion while expository essays are on the knowledge; at the vocabulary level, expository essays prefer to employ more diversely while argumentative essays tend to be more balanced in difficulty; at the grammatical level, these two types of texts both use object and adverbial clauses, and they choose simple present and past simple tenses. Also, their sentences are favored active voice.
A Survey on the uses of Mobile Phones in Facilitating English Learning for Students at Transport and Communications University in Ho Chi Minh City

With the development of modern technology and high education, the mobile phone is not only an essential piece of equipment to use in life but also becomes an ideal tool for students to improve their knowledge, so it cannot be denied that students can use mobile phones to improve their English effectively. Therefore, mobile-assisted language learning is considered a new multidisciplinary field of educational technology. We hope that the results of this study could serve as the basis for other researchers to do research on the effects of mobile phones when improving English in an academic environment and provide people who have an interest in this topic with the relationship between students and the necessity of using mobile phones to support learning in classes, especially in English. This study could be helpful for teachers to pay more attention to developing a new way to bring knowledge to their students instead of focusing mainly on the old method like books, boards or fundamental theories.
EDUCATION OF DIABETIC FOOT CARE IN PATIENTS WITH DM IN THE WORKING AREA OF PUSKESMAS 1 ULU

The community service activities that have been performed were aimed at increasing the community knowledge, especially cadres and patients with diabetes mellitus, in diabetic foot care. Increasing trends of diabetes cases will also increase the incidence of foot ulcers. Therefore, it is important for cadres and community members to understand diabetic foot care. This community service activity consists of several stages; preliminary survey, implementation of activities, and evaluation. This activity involved health workers at the Puskesmas, five cadres, and 21 people with diabetes. Participants were very enthusiastic in answering and asking questions in educational activities. The patient also gets foot and wound care during this activity. This activity needs to be conducted continuously to prevent further complications from diabetes.
EFFORTS TO INCREASE COMMUNITY LITERACY

Improving literacy, especially reading and writing literacy in society, must be one of the centers of attention of various parties. Low literacy skills will encourage people to respond incorrectly to information that has the potential to take actions that are not in accordance with existing rules and can even hinder the growth of the global human development index as the government hopes, and can even harm themselves. This service activity is carried out in an effort to improve literacy in village communities. Activities are carried out by means of outreach, discussions and training that directly involve the community. The implementation of this community service activity proves that the discussion, socialization and training methods can improve the literacy skills of the village community.