Reviewerly/exHarmony huggingface dataset:
VIZHI, An AI Assistant

The main aim of artificial intelligence is to allowassignation with electronic devices and computer in a simple and practical way. Personal assistant which can do any task just by listening a phrase is trending now a days. A virtual assistant is able to understand and give reply to human commands using synthesized voices. Many organization have created Virtual Personal Assistants (VPAs) based on their requirement and domains, such as Cortina which is made by microst,Siri which is made by apple, Alexa by amazon, and Google Assistant by Google, using dialogue systems technology. User can give commands to perform task such as play the music , as well as can do the basic tasks like messages, to-do lists, and so onHowever, the generally works online but our research work can do the work in both mode online as well as offline. So here we introduce Vizhi (An AI Assistant) with Voice Commands Intelligence, who receives the user command in the form of voice or text then visit process it and give the output such as the task which is said to be completed
VIVÊNCIA ESCOLAR: TEORIA E PRÁTICA DOS PIBIDIANOS ANTES E DURANTE A PANDEMIA DA COVID-19

This study discusses an experience lived in the performance of PIBID biological science, in a 3rd grade class in a state school in the hinterland of Alagoas.It aims to evaluate the adoption of the didactic-methodological tool, the Interactive Didactic Sequence (SDI), for the construction of the concept of Biological Evolution, based on interactions between students.The SDI consists of three steps: individual concept, group concept and general concept, the latter constructed by a representative of each group.At the end of the SDI, there was a comparison of the concept made by the class representatives with the concept presented by the mediators, which in this case were the PIBIDians.The research has a qualitative character and is justified by the need to use methodological tools for the construction of an integrated knowledge, which considers the previous experiences of ours and how they improve with the scientific knowledge given in the classroom.It was evidenced that the concept constructed by the students is close to the scientific concept,concluding that SDI is an important tool to build meaningful knowledge, based on the teaching-learning relationship between teacherstudent.
UMA ANÁLISE DA TRÍADE ARGUMENTATIVA EM LIVES DURANTE A PANDEMIA

This study discusses an experience lived in the performance of PIBID biological science, in a 3rd grade class in a state school in the hinterland of Alagoas.It aims to evaluate the adoption of the didactic-methodological tool, the Interactive Didactic Sequence (SDI), for the construction of the concept of Biological Evolution, based on interactions between students.The SDI consists of three steps: individual concept, group concept and general concept, the latter constructed by a representative of each group.At the end of the SDI, there was a comparison of the concept made by the class representatives with the concept presented by the mediators, which in this case were the PIBIDians.The research has a qualitative character and is justified by the need to use methodological tools for the construction of an integrated knowledge, which considers the previous experiences of ours and how they improve with the scientific knowledge given in the classroom.It was evidenced that the concept constructed by the students is close to the scientific concept,concluding that SDI is an important tool to build meaningful knowledge, based on the teaching-learning relationship between teacherstudent.
PANDEMIA, DOCÊNCIA E CRIATIVIDADE: UM RELATO DE EXPERIÊNCIA NO PIBID

This study discusses an experience lived in the performance of PIBID biological science, in a 3rd grade class in a state school in the hinterland of Alagoas.It aims to evaluate the adoption of the didactic-methodological tool, the Interactive Didactic Sequence (SDI), for the construction of the concept of Biological Evolution, based on interactions between students.The SDI consists of three steps: individual concept, group concept and general concept, the latter constructed by a representative of each group.At the end of the SDI, there was a comparison of the concept made by the class representatives with the concept presented by the mediators, which in this case were the PIBIDians.The research has a qualitative character and is justified by the need to use methodological tools for the construction of an integrated knowledge, which considers the previous experiences of ours and how they improve with the scientific knowledge given in the classroom.It was evidenced that the concept constructed by the students is close to the scientific concept,concluding that SDI is an important tool to build meaningful knowledge, based on the teaching-learning relationship between teacherstudent.
MÉTODOS E PRÁTICAS DE LEITURA E ESCRITA NOS ANOS FINAIS DURANTE AS AULAS DO PIBID

This study discusses an experience lived in the performance of PIBID biological science, in a 3rd grade class in a state school in the hinterland of Alagoas.It aims to evaluate the adoption of the didactic-methodological tool, the Interactive Didactic Sequence (SDI), for the construction of the concept of Biological Evolution, based on interactions between students.The SDI consists of three steps: individual concept, group concept and general concept, the latter constructed by a representative of each group.At the end of the SDI, there was a comparison of the concept made by the class representatives with the concept presented by the mediators, which in this case were the PIBIDians.The research has a qualitative character and is justified by the need to use methodological tools for the construction of an integrated knowledge, which considers the previous experiences of ours and how they improve with the scientific knowledge given in the classroom.It was evidenced that the concept constructed by the students is close to the scientific concept,concluding that SDI is an important tool to build meaningful knowledge, based on the teaching-learning relationship between teacherstudent.
Preface

The second conference of Iraqi desert geology (IDGC 2021) The second conference of Iraqi desert geology (IDGC 2021) was scheduled to be held in December 2020, but it was postponed to October 6-8, 2021 due to the COVID-19 pandemic. The conference was held in cooperation between the Department of Applied Geology, College of Science, University of Anbar, and the Department of Geology, College of Science, University of Baghdad. The Academics from Iraqi universities, researchers from the Iraqi Geological Survey, the Oil Exploration Company, the General Authority for Groundwater, and those interested in desert studies participated in the conference. IDGC was held basically via physical attendance for three days 6-8 October 2021 in Rammadi City, Anbar Governorate, Iraq. The program of the third day of the conference was a field trip to see the geological phenomena in the cities of Hit and Haditha. Each participant was given approximately 10 minutes to view the most important findings of his/her research, and 5 minutes to discuss these results. List of Structure of Committee, Organizing committee, Scientific Committee, Technical Support Committee, Keynote Speaker are available in this pdf.
A critical review of whole theory: Stationenlernen learning technique and German language learning outcomes

This critical review aims to describe the integrity of paraphrasing the theory or references and scientific journals that become references. The contribution of this research is as a reference and input to develop the creativity of critical thinking of the quoters. The method used is listening and analyzing the journal's contents as a source of data; critically identifying the parts of the journal containing quotations, direct quotations, and paraphrasing of the theories being referenced. The results of the critical review show several weaknesses, including several quotes that are not accompanied by relevant data and references, errors in citing reference sources. In addition, quotations or paraphrases have paid attention to the integrity of meaning with several techniques, namely complete and partial paraphrasing techniques. Partial is divided into two; according to the research formulation, the theory is paraphrased and several points of the combined theory are paraphrased because they are closely related and complementary. This critical review implies that it is a follow-up study to analyze the advantages and disadvantages of a scientific article based on relevant theories, studies, and previous research results.
Randomized Rank-Revealing Qlp for Low-Rank Matrix Decomposition

The pivoted QLP decomposition is computed through two consecutive pivoted QR decompositions, and provides an approximation to the singular value decomposition. This work is concerned with a partial QLP decomposition of low-rank matrices computed through randomization, termed Randomized Unpivoted QLP (RU-QLP). Like pivoted QLP, RU-QLP is rank-revealing and yet it utilizes random column sampling and the unpivoted QR decomposition. The latter modifications allow RU-QLP to be highly parallelizable on modern computational platforms. We provide an analysis for RU-QLP, deriving bounds in spectral and Frobenius norms on: i) the rank-revealing property; ii) principal angles between approximate subspaces and exact singular subspaces and vectors; and iii) low-rank approximation errors. Effectiveness of the bounds is illustrated through numerical tests. We further use a modern, multicore machine equipped with a GPU to demonstrate the efficiency of RU-QLP. Our results show that compared to the randomized SVD, RU-QLP achieves a speedup of up to 7.1 times on the CPU and up to 2.3 times with the GPU.
Comprehensive Review on UAV Efficient Path Planning Techniques for Optimized Applications

This literature review article compiles works that describe the use of bio-inspired algorithms in Unmanned Aerial Vehicle (UAV) motion planning. This review demonstrates the usefulness of the various frameworks by presenting the contributions and limits of each article. The optimization method also decreases the amount of inaccuracy in the system’s convergence. Furthermore, this study discusses the assessment procedures and draws attention to the novelties and limitations of the explored methods. The paper wraps up with a detailed examination of the current difficulties and potential future research directions. This research will aid scholars in comprehending the state-of-the-art efforts made in UAV motion planning using a variety of optimization strategies.
Remittances, Revenue, and Government Spending in Dictatorships

This chapter explores the practices of migrant remittances, revenue, and government spending in dictatorships. Moreover, remittances are recorded as one of the largest forms of foreign income inflows next to oil rents. Recent emerging technologies made money transfer more secure, rapid, and less expensive. Thus, the evolution of the mechanisms facilitated the mobility of private capital and the acceleration in global remittance flows in the last thirty years. Foreign economic flows generate a political resource curse due to the centralization of the technologies of production and income generation. The chapter also includes how remittances could allow the government in recipient countries to substitute one kind of government spending.
Relationship between digital literacy and risk behaviors relevant to HIV among teenagers

ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Zareipour M, Ardakani MF, Sotoudeh A, Azari MT. Relationship between digital literacy and risk behaviors relevant to HIV among teenagers. HIV & AIDS Review. International Journal of HIV-Related Problems. 2022. doi:10.5114/hivar.2022.119529. APA Zareipour, M., Ardakani, M. F., Sotoudeh, A., & Azari, M. T. (2022). Relationship between digital literacy and risk behaviors relevant to HIV among teenagers. HIV & AIDS Review. International Journal of HIV-Related Problems. https://doi.org/10.5114/hivar.2022.119529 Chicago Zareipour, Moradali, Mojtaba F Ardakani, Ahmad Sotoudeh, and Mina T Azari. 2022. "Relationship between digital literacy and risk behaviors relevant to HIV among teenagers". HIV & AIDS Review. International Journal of HIV-Related Problems. doi:10.5114/hivar.2022.119529. Harvard Zareipour, M., Ardakani, M., Sotoudeh, A., and Azari, M. (2022). Relationship between digital literacy and risk behaviors relevant to HIV among teenagers. HIV & AIDS Review. International Journal of HIV-Related Problems. https://doi.org/10.5114/hivar.2022.119529 MLA Zareipour, Moradali et al. "Relationship between digital literacy and risk behaviors relevant to HIV among teenagers." HIV & AIDS Review. International Journal of HIV-Related Problems, 2022. doi:10.5114/hivar.2022.119529. Vancouver Zareipour M, Ardakani M, Sotoudeh A, Azari M. Relationship between digital literacy and risk behaviors relevant to HIV among teenagers. HIV & AIDS Review. International Journal of HIV-Related Problems. 2022. doi:10.5114/hivar.2022.119529.
ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora

Generating visually grounded image captions with specific linguistic styles using unpaired stylistic corpora is a challenging task, especially since we expect stylized captions with a wide variety of stylistic patterns. In this paper, we propose a novel framework to generate Accurate and Diverse Stylized Captions (ADS-Cap). Our ADS-Cap first uses a contrastive learning module to align the image and text features, which unifies paired factual and unpaired stylistic corpora during the training process. A conditional variational auto-encoder is then used to automatically memorize diverse stylistic patterns in latent space and enhance diversity through sampling. We also design a simple but effective recheck module to boost style accuracy by filtering style-specific captions. Experimental results on two widely used stylized image captioning datasets show that regarding consistency with the image, style accuracy and diversity, ADS-Cap achieves outstanding performances compared to various baselines. We finally conduct extensive analyses to understand the effectiveness of our method. (Our code is available at https://github.com/njucckevin/ADS-Cap .)
A Multibias-Mitigated and Sentiment Knowledge Enriched Transformer for Debiasing in Multimodal Conversational Emotion Recognition

Multimodal emotion recognition in conversations (mERC) is an active research topic in natural language processing (NLP), which aims to predict human’s emotional states in communications of multiple modalities, e,g., natural language and facial gestures. Innumerable implicit prejudices and preconceptions fill human language and conversations, leading to the question of whether the current data-driven mERC approaches produce a biased error. For example, such approaches may offer higher emotional scores on the utterances by females than males. In addition, the existing debias models mainly focus on gender or race, where multibias mitigation is still an unexplored task in mERC. In this work, we take the first step to solve these issues by proposing a series of approaches to mitigate five typical kinds of bias in textual utterances (i.e., gender, age, race, religion and LGBTQ+) and visual representations (i.e., gender and age), followed by a Multibias-Mitigated and sentiment Knowledge Enriched bi-modal Transformer (MMKET). Comprehensive experimental results show the effectiveness of the proposed model and prove that the debias operation has a great impact on the classification performance for mERC. We hope our study will benefit the development of bias mitigation in mERC and related emotion studies.
Retraction: Research on Humanization of Life Ceramics Design Based on VR Technology (J. Phys.: Conf. Ser. 1544 012087)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 23 September 2022
Research on Environment Mapping and Robot Path Planning Based on Monocular Vision

In this paper, two modules of map modeling and path planning in robot navigation system are studied. Firstly, the indoor environment scene is obtained by monocular camera. Secondly, an adaptive K-means obstacle segmentation algorithm is proposed to obtain the location information of obstacles and construct a real-time two-dimensional environment map. Finally, a fast guided sampling RRT* algorithm (FD-RRT*) is proposed. Based on RRT*, target gravity combined with adaptive step size is used to improve node expansion efficiency, and B-spline curve is used to fit path points. Simulation results show that FD-RRT* algorithm has shorter search time and path length than RRT* algorithm. Based on monocular vision system, the effectiveness of indoor environment modeling and path obstacle avoidance for mobile robots is verified experimentally.
Extensible Virtual Call Integrity

Virtual calls in C++ are known to be vulnerable to control-flow attacks, and Virtual Call Control Flow Integrity (VCFI) is a proposed defense. However, most existing VCFI defenses are incompatible with real-world C++ software that need extensibility in the form of dynamic loading, foreign language interface, etc. In this paper, we propose a novel and extensible VCFI mechanism—namely eVCFI—that is flexible enough to handle such software requirements. eVCFI uses Approximate Membership Query (AQM) filters, recasting VCFI as an efficient set membership query, giving an O(1) time VCFI check that can be implemented in only a few instructions, all while supporting extensibility and multi-threading. We compare eVCFI with existing VCFIs, showing that we can achieve more accurate policies or extensibility compared with other VCFI mechanisms designed for efficiency or modularity. Evaluation of eVCFI shows small 1.3% overhead with SPEC 2006. Furthermore, we evaluate eVCFI against the FireFox web browser: an example of large/complex C++ software that uses both dynamic loading and a foreign language interface (Rust). We show that eVCFI can protect Firefox with a small overhead of 1.15%. We believe that eVCFI is the first VCFI defense able to protect complex software like Firefox.
Significance of Requirement Engineering In Educational Technology Development

ABSTRACT To effectively actualize the advantages of educational technology in the educational sector, the requirements of the learners, the teachers and all the stakeholders must be thoroughly captured by requirement engineering. This chapter shows the different ways in which requirement engineering has managed the requirements to produce software and other educational technology tools and platforms to make teaching and learning more effective. Keywords: Requirement Engineering, Educational Technology, Teaching, learning, Institutions.
Rule-Based Runtime Mitigation Against Poison Attacks on Neural Networks

Poisoning or backdoor attacks are well-known attacks on image classification neural networks, whereby an attacker inserts a trigger into a subset of the training data, in such a way that the network learns to mis-classify any input with the trigger to a specific target label. We propose a set of runtime mitigation techniques, embodied by the tool AntidoteRT, which employs rules in terms of neuron patterns to detect and correct network behavior on poisoned inputs. The neuron patterns for correct and incorrect classifications are mined from the network based on running it on a clean and an optional set of poisoned samples with known ground-truth labels. AntidoteRT offers two methods for runtime correction: (i) pattern-based correction which employs patterns as oracles to estimate the ideal label, and (ii) input-based correction which corrects the input image by localizing the trigger and resetting it to a neutral color. We demonstrate that our techniques outperform existing defenses such as NeuralCleanse and STRIP on popular benchmarks such as MNIST, CIFAR-10, and GTSRB against the popular BadNets attack and the more complex DFST attack.
Design of Intelligent Video Monitoring System Based on Edge Cloud Collaboration

Real-time video monitoring plays an important role in the safety management of the factory. The traditional cloud-based methods have high transmission delay and bandwidth cost, and are not suitable for large-scale video monitoring. This paper presents an intelligent video surveillance system based on edge cloud collaboration, which splits high-precision and complex models, deploys them distributed to edges and clouds, and reduces the detection delay while guaranteeing the detection accuracy.
EstelAR: an Augmented Reality Astronomy learning tool for STEM students

In this paper, we present EstelAR, a markless Augmented Reality learning tool focused on understanding introductory Astronomy topics at an undergraduate level. We make use of markless technology to create an autonomous learning app for STEM students. We describe the development process. To measure EstelAR's achievement, we conducted a pre/post- test experiment with a group of 34 STEM students, divided into two classes (experimental and control). The result indicates that EstelAR had a similar performance compared to the traditional in-person method to learn stellar Astronomy subjects. A lack of retention in the short-term (7 days) was detected for both groups. We comment on the result and describe the limitations in the conclusions.
Evaluation Method of Enterprise Cybersecurity

Digitization makes life more convenient but cybersecurity more important. Since cybersecurity evaluation is an effective way to promote the construction of enterprise cyber-attack defense system, this paper analyzed the evaluation perspectives of information system, and designed a multi-level index system which covered enterprise’s asset, management, technology, and testing result. Then Analytic Hierarchy Process is adopted to calculate the weights of evaluation indexes in each layer. Finally, the evaluation result is obtained through layered summation. Experiments applied the evaluation method to 10 enterprises using real data. Results showed that this method is feasible and effective.