Reviewerly/exHarmony huggingface dataset:
Improving Language Literacy Skills of 5 and 6-Year-Old Children Through Picture Story Method at School

This study aims to improve the language literacy skills of children aged 5-6 through the media of illustrated story series in Shabat Getasan school children of Semarang Regency. This research is urgent to determine the improvements to children's language literacy skills. This research is a class action research (PTK). This research consists of two cycles, and each cycle is held in two meetings. The subjects of this study were 12 children of Shabat Getasan School, Semarang Regency. The data was collected through observation and documentation. The observation results before the action (pre-cycle) showed language skills in children with Good criteria of 0%, and cycle I of children's oral language skills who entered the Good criteria of 0% and cycle II of 80-90%. The results showed that the media of picture stories could improve language literacy skills in children aged 5-6 years. Thus, it can be concluded that the media of picture stories can improve language literacy skills in Shabat Getasan school children, Semarang Regency.
PENGEMBANGAN MEDIA AJAR BERBASIS ARTIFICIAL INTELEGENCE PADA MATA KULIAH EVALUASI PEMBELAJARAN MATEMATIKA

This research is a development research (R&amp;D). This study aims to develop learning media based on Artificial Intelligence (AI) in mathematics learning evaluation courses. The research was developed using the ADDIE model (analysis, design, development, implementation and evaluation). The media was developed by utilizing several AI tools, namely ChatGPT, Fliki, Toonme and D-ID. Experts provide an assessment of AI-based media with an average rating of Good. Media gets 78% Good in terms of appearance, 85% in a very good category in terms of use, and 80% in a good category in terms of presentation of material. Based on the assessment of material experts, the products that have been developed get 79% in the good category in terms of the suitability of the teaching materials and the assessment of the coherence of the material is 80% in the good category. Based on the assessment of linguists, the developed product received an 82% rating in the very good category in terms of the language used. A score of 78% is in a good category in terms of the pronunciation of the language in audio and a score of 79% is in a good category in language selection. Based on the results of the validation and assessment of experts, small group trials, large group trials and then revisions to the initial media products developed, the Artificial Intelligence-based learning media for mathematics learning evaluation courses is declared feasible to be used and exploited in the field.
E-learning based on PjBL integrated to STEM using microsoft sway on parabol motion materials to improve critical thinking ability of high school class X students

Abstract Technology is very influential on education, where technology cannot be separated from life; technological progress will go according to the development of education. Therefore, this study aims to produce e-learning based on PjBL products assisted by integrated Microsoft Sway STEM with the hope that these products can be helpful for the wider community, can broaden teachers’ insights about various forms of appropriate learning media as alternative learning materials in the learning process glasses in class, and can be used for students to study physics independently at home. The research method used is research and development (R&amp;D) with ADDIE (Analyze, Design, Development, Implementation, Evaluation) as a development model with several stages, namely analyzing the needs of Sway e-learning learning media, product design, design validation, design revision, product trials, product revisions, final products. The results of this study are based on an average proportion of the material validation test of 96.25%, the media validation test of 73.62%, the learning validation test of 80%, and product assessment by the teacher’s perspective of 89.23%, and product assessment by students by 88.4%. With an overall average of 85.5%, based on product validation and trials, a proportion of 85.5%, Sway’s e-learning learning media is in the very feasible category, and it was also found that the n-gain score of 0. 58 was in the medium category. From the results of the n-gain value, it is concluded that e-learning based on PjBLintegratded to STEM products using Microsoft sway on parabolic motion material can improve students’ critical thinking.
Application of hybrid teaching mode in translation teaching from the perspective of ecological concept teaching

Blended teaching is a model of teaching that combines traditional classroom teaching with online teaching. The integration of blended teaching is not only the integration of carrier means but also the breakthrough of teaching mode and the expansion of teaching time and space. Based on the theory of education ecology, this paper first analyzes the mixture of college English translation teaching modes and indicates that the college English translation teaching system from the dimension of the language training system, cultivation system, and communication dimensions cultural dimensions of three parts, and communicative dimension culture contains three platforms, four interaction, five links. Then, the hardware and software of the hybrid teaching ecosystem are designed to realize translation teaching. In the test to verify the system performance in this paper, it was found that the overall iteration value of the system presented a rising trend with the increasing number of tests, and in 6 tests, the maximum iteration value of the system in this paper was always 3-12 higher than the maximum iteration value of the teaching system in the traditional protocol data test group. Therefore, the hybrid teaching ecosystem designed in this paper has obvious advantages in reliability and practicality.
Rancangan Sistem Informasi Inventory Management Koleksi Masuk pada Perpustakaan STAIN Sultan Abdurrahman Kepulauan Riau

Collection inventory is something that has been known for a long time in the library world. With the development of technology, it is not impossible if incoming collection inventory activities are carried out with the help of updated application designs. One of the designs that can be applied is inventory management. The purpose of this writing is to assist and facilitate the work on the inventory of incoming collections at library of STAIN Sultan Abdurrahman Riau Archipelago. The method used in this research is a literature study. The desired results with the development of this information system design are to simplify, accelerate incoming collection inventory activities and ease the workload of librarians in reporting accountability to library leaders in incoming collection inventory activities at library of STAIN Sultan Abdurrahman Riau Archipelago.
Critical Discourse Analysis of the News Subject-Related to Beatings: A Case of Lampost.co Webpage

This paper will present how the author critically analyzes the cases of beatings that occurred in Lampung province which were published by official and trusted news websites, namely Lampost.co owned by the Lampung post media. The author chooses news from this media because it has been registered with the press council which oversees the official press media in Indonesia, so that the validity and accountability of the news published is very reliable, in contrast to news published on private websites or blogspots managed by individuals. , it could be that the news written for the purpose of Jah is for the benefit of the individual himself or only certain groups. The author here is discourse analysis on the news. The method used by the author is descriptive qualitative, namely the presentation of the results of the analysis in this article is based on the data contained in the news. The data found is in the form of structure, superstructure, microstructure, then the existing macrostructure. on the news of the beating. The author also conducts critical discourse analysis textually, namely related to the news explaining what, how the description, interpretation and explanation of the news is about. The data source is the beating news on the Lampost.co page. The result is that elements of the setting are found in the news, namely Labuhan Maringgai. The setting is the backdrop for the beatings of victims as well as the arrest of perpetrators. Journalists use a deductive pattern to present news content, beginning with public opinion, followed by supporting sentences. Keywords: discourse analysis, news of beatings, lamppost DOI: http://dx.doi.org/10.61436/bsscd/v2i2.pp49-53
Post-quantum Sigma Protocols and Signatures from Low-Rank Matrix Completions

We introduce a new hard problem to cryptography, named Low-Rank Matrix Completion (LRMC), whose hardness is equivalence with MinRank in multivariate cryptography (NP-Complete and quantum-resistant). We present a Sigma Protocol to prove the knowledge of LRMC. Comparing with the need for several matrices in the public key of MinRank-based constructions such as Courtois (ASIACRYPT 2001) and Bellini et al. (PQCrypto 2022), the benefits of using LRMC are that only one matrix is required, leading to smaller public key sizes, lower computation and communication costs, and fewer operations and time-consuming. In addition, it is more intuitive and succinct in the system setup. Then, we take full advantage of recent progresses to reduce the soundness error, including the Sigma Protocol with Helper (EUROCRYPT 2020), the cut-and-choose techniques (CCS 2018), and so on. When applying the Fiat-Shamir transform to convert the improved sigma protocol to a signature scheme, with more optimizations, the sizes are competitive with SPHINCS+, which has been determined to be standardized by the NIST after three rounds of evaluation, and is the only one that does not rely on (structural) lattice problems. This work increases the diversity of provable and practical post-quantum signatures, as the NIST is calling.
Threshold Ring Signature Scheme from Cryptographic Group Action

A threshold ring signature (t-out-of-N) is an extension of ring signatures that allow t users jointly sign a message on the behalf of N users, selected in an arbitrary manner, while keeping their identities anonymous. This paper presents a construction of threshold ring signature from cryptographic group action, based on the OR proof of group action and the idea of creating a threshold ring signature scheme from a ring signature scheme. We instantiate the proposed protocols in both isogeny and lattice settings. The signature size of our isogeny-based construction is smaller than the existing threshold ring signature scheme (e.g. 65 KB signatures compared to 187 KB for the same ring size).
Fuzzy Deduplication Scheme Supporting Pre-verification of Label Consistency

Efficiently and securely removing encrypted redundant data with cross-user in the cloud is challenging. Convergent Encryption (CE) is difficult to resist dictionary attacks for its deterministic tag. Server-aided mechanism is against such attacks while it may exist collusion. Focus on multimedia data, this paper proposes an efficient and secure fuzzy deduplication system without any additional servers. We also propose a notion of pre-verification of label consistency to compensate for the irreparable post-verification loss. Compared with other fuzzy deduplication schemes, our work has apparent advantages in deduplication efficiency and security based on a natural data set.
Homomorphic Witness Encryption from Indistinguishable Obfuscation

Witness encryption (WE) is a new encryption paradigm that allows encrypting a message using the instance of a particular NP problem, and someone who knows a solution to this problem (i.e., a witness) can effectively decrypt the ciphertext. Traditional witness encryption is built from multi-linear encodings. In this work, we put forth the concept of homomorphic witness encryption (HWE), where one can evaluate functions over ciphertexts of the same instance without decrypting them, i.e., one can manipulate a set of ciphertexts with messages $$(m_1,\cdots ,m_n)$$ to obtain the evaluation of $$f(m_1,\cdots ,m_n)$$ , for any function f. We declare that such homomorphic witness encryption schemes can be generically constructed from indistinguishable obfuscation ( $$i\mathcal {O}$$ ) for any classes of functions. Then we propose an instantiate of multiplicative homomorphic witness encryption (MHWE) using an $$i\mathcal {O}$$ , homomorphic encryption for NP problems such as Subset-Sum and a batch-processed GS-proof system, which enables us to evaluate multiplication operations over ciphertext. Furthermore, we give the security and efficiency of our candidate schemes.
FleS: A Compact and Parameter-Flexible Supersingular Isogeny Based Public Key Encryption Scheme

Post-quantum public key encryption (PKE) is an important cryptographic primitive to handle the threat from quantum computer. Isogeny-based cryptography attracts great attention due to the most compact key size. At Asiacrypt 2020, Moriya et al. proposed (C)SiGamal without using hash functions or transformations. At PQCrypto 2021, Fouosta et al. proposed SimS by simplifying SiGamal and it achieves IND-CCA security. Both of them require the prime p satisfies that $$p+1$$ has the factor $$2^r$$ . This limits the choice of parameters and the class group action for such a parameter is slower than CSIDH. Targeting on constructing an efficient, parameter-flexible and secure post-quantum PKE scheme based on CSIDH, we propose FleS. Compared to SimS, FleS has almost no requirement for the parameters and has smaller key size. We carefully design a point-choosing algorithm to make FleS suitable for any parameter. We give a proof of the IND-CCA security of FleS under the CSSIDDH and CSSIKoE (Fouosta et al. at PQCrypto 2021) assumptions. Finally we implement FleS using CSIDH-512 parameter set. The result shows that with the same message space the key generation of FleS is 1.74 $$\times $$ faster than SimS, the encryption is 1.17 $$\times $$ faster than SimS and the decryption is 1.05 $$\times $$ faster than SimS.
A Certificateless Aggregate Signature Scheme with Better Security

In recent years, the Internet of Things (IOT) has been developing rapidly and popularizing the world. Smart home is one of its important applications, the devices and household appliances are connected together through the network to provide intelligent services. However, malicious attacks often occur during the transmission of data information, resulting in data leakage or data changes. Therefore, it is necessary to ensure the integrity and availability of data. Based on this, we propose a new pairing-free certificateless aggregate signature (CLAS) scheme, which achieves efficient authentication of multiple messages and improves the verification rate. In addition, we demonstrate its security based on the hardness of discrete logarithm problem in the random oracle model. Comparison with other CLAS schemes proves that our scheme has better security and higher efficiency through performance analysis.
simuBits: Pool Security Verification of Novel Mining Attacks

Bitcoin pool attacks, including withholding block attacks, pose a significant threat to the Bitcoin ecosystem. However, current research on pool attacks is limited to theoretical analysis due to the lack of experimental platforms. This paper presents simuBits, a specialized experimental system designed to analyze the feasibility of mining pool attacks and propose countermeasures. The system simulates a mining pool using a group of miner processes. A new combined attack model of BWH and man-in-the-middle attack is proposed, which is more profitable and stealthy than traditional single attack patterns. A new countermeasure is also proposed that dynamically adjusts the power weight of suspected attackers through putting them into a small sub-pool. Both the combined attacks and the defense strategies were tested in simuBits, and the results confirm that the proposed countermeasure is a feasible way to defend against pool attacks, significantly reducing attackers’ revenues compared to honest mining.
Cybersecurity Model for Mobile and Web Application Banking Sectors

Cybersecurity risk has an impact on a company’s bottom line, just like financial and reputational threats do. Banking cybersecurity is becoming a key concern as the world transitions to a digital economy. Using data-protection methods and processes is important for a successful digital revolution. The Cybersecurity model is essential for banking industries. The findings of the research result in a higher level of cybersecurity model being implemented in banking sectors. Thus, banks will have an easier workload ensuring that they adhere to the required procedures in order to forestall the occurrence of cybercrime within their own institutions.
Theory of Fuzzy Time Computation(TC* vs TC &amp;amp; TQC)

One of the possible hypotheses about time is to consider any instant of time as a fuzzy number so that two instances of time could be overlapped. Historically, some Mathematicians and Philosophers have had similar ideas. Brouwer and Husserl are two examples. This article studies the impact of this change on the Theory of Computation and Complexity Theory. In order to rebuild the Theory of Computation in a more successful and productive approach to solve some major problems in Complexity Theory, the present research is done. This novel theory is called here, the fuzzy time theory of computation, TC*. Here, we show the situation of some major problems in Complexity theory and Quantum complexity theory in the new model, and how some major problems would be solved.
Constant-Size Group Signatures with Message-Dependent Opening from Lattices

Group signatures allow users to sign messages on behalf of the group without prevealing their identities. However, the opening authority can trace signatures back to their source, raising concerns about privacy. To address this issue, Sakai et al. proposed a cryptographic primitive called Group Signature with Message-Dependent Opening (GS-MDO), which balances privacy and traceability. Libert et al. introduced GS-MDO using lattices, but the scheme’s signature sizes vary with the number of group users. In this paper, we present the first constant-size group signature with message-dependent opening using lattices. Our scheme’s signature, public key, and secret key sizes are reduced to $$\widetilde{\mathcal {O}}(\lambda )$$ , and are independent of the number of group users.
Multi-input Functional Encryption for Unbounded Inner Products

In this work, we propose a construction for Multi-Input Inner Product Encryption (MIPFE) that can handle vectors of variable length in different encryption slots. This construction is the first of its kind, as all existing MIPFE schemes allow only equal length vectors. The scheme is constructed in the private key setting, providing privacy for both message as well as the function, thereby achieving the so-called full-hiding security. Our MIPFE scheme uses bilinear groups of prime order and achieves security under well studied cryptographic assumptions, namely, the symmetric external Diffie-Hellman assumption.
Recent Advances in the Index Calculus Method for Solving the ECDLP

Elliptic curve cryptography (ECC) is a well-developed and widely used type of public key encryption that outperforms older cryptographic systems such as RSA. Because of its ability to provide improved security while using smaller key sizes, ECC has recently gained popularity. The computation of the private scalar integer that is used as a private key to generate the public key is the most important determinant of ECC security. The elliptic curve discrete logarithm problem (ECDLP) serves as the foundation for the complexity of ECC. The index calculus approach is one of the most effective strategies for solving ECDLP. In the recent years, significant progress has been made in theoretically and functionally improving the efficiency of the index calculus approach for ECDLP. This research looks at the recent advances in the algorithm and its complexity, new methodologies and methods for improving its efficiency, the current state of the art in this field, as well as outstanding research challenges that require further investigation. The goal of this paper is to provide an overview of the recent developments in this critical area of cryptography research. We compare and contrast cutting-edge algorithms and strategies designed to improve the method's efficiency.
Data Virtualization Strategies –Next Frontier for Business Analytics

Data virtualization is a critical strategy that organizations employ to enhance business analytics in the age of Big Data. This approach allows for seamless access to and integration of data from diverse sources, both internal and external, without the need for physical data movement or replication. This paper explores data virtualization strategies and their impact on business analytics, highlighting the benefits, challenges, and best practices associated with this technology. By adopting data virtualization, organizations can achieve a unified and real-time view of their data, enabling faster and more informed decisionmaking in a rapidly evolving business landscape.
Social Media: An Everyday Reality

In the space of a single generation, social media have transformed how billions of people make friends, build communities, and share knowledge. However, approaches that suggest harm occurs based solely on time spent using social media disguise this everyday reality. In response, this chapter points toward the importance of understanding who uses social media in daily life, why, and how. While we have more data than ever to help us explore the impacts of new technologies, including social media, everyday experiences require description alongside careful theorizing about the mechanisms that might cause benefits or harms. This collectively shifts research priorities towards applied applications that can mitigate problems, injustices, and inequalities that social media and other digital cultures can foster.
ViWiQA: Efficient end-to-end Vietnamese Wikipedia-based Open-domain Question-Answering systems for single-hop and multi-hop questions

Open-domain Question-Answering (QA) task requires a QA system to answer a given question using a large knowledge base like Wikipedia. Modern Open-domain QA systems often follow the two-stage framework Retriever-Reader where the retriever greatly impacts the end-to-end performance. Efficient Vietnamese Open-domain QA systems for single and multi-hop questions have yet to be studied. Although resource-rich languages like English witnessed many advancements in Open-domain QA, these methods often suffer from low data situations. This study proposes ViWiQA, an efficient Vietnamese Open-domain QA system over the Wikipedia knowledge base, with two novel retriever methods for single-hop and multi-hop questions. ViWiQA can be effectively trained with low data and significantly outperforms Lucene-BM25 and Dense Passage Retrieval when adapted to Vietnamese datasets. For single-hop QA, the proposed retriever outperforms Lucene-BM25 by 20% in top-1 retrieval accuracy, and the end-to-end system achieves 15% and 17% absolute gain in EM and F1 scores, respectively. For multi-hop QA, the proposed retriever increases the accuracy of retrieving correct passage pairs by 4% compared to Lucene-BM25, and the end-to-end system shows 7% and 17% absolute gains in EM and F1 scores.