Reviewerly/exHarmony huggingface dataset:
A strategy to strengthen the profile of Media Literacy of Higher Education Students and Teachers

This paper describes part of a doctoral thesis project in which the design and application of an intervention project to strengthen the media literacy profile of higher education students and teachers is presented, in a School of Arts of a Public University in Nuevo Leon, Mexico. The theoretical-methodological approach was developed from design-based research (IBD) and therefore includes data collection strategies with a quantitative and qualitative approach. The results highlight the development and reinforcement of knowledge in the different dimensions of the media competencies included such as technology, information, ICT policies, knowledge and communication, through the various activities and insights of the participants in the course.
Tennis Serve Classification using Machine Learning

Author(s): Jabaren, Aiman | Advisor(s): Nguyen, Truong | Abstract: In this thesis, we propose a new approach to measure the quality of a serve in tennis. We formulate this as classifying tennis serves videos into amateur and professional category and introduce a novel two-stage architecture based on LSTM to address this task. In the first stage, we use a state-of-the-art CNN model to extract 3D human pose estimates in a temporal context. An LSTM is then used in the second phase to classify the human pose. We also investigate various 3D human pose estimation algorithms, LSTM architectures, and data collection methods and evaluate their performances for classifying tennis serves.
The Relationship Between Vocabulary And Listening Ability At Third Students Of MTs Al-Rahmah Islamic Boarding School

Syafaat, 132301542 “The Relationship Between Vocabulary And Listening Ability At Third Students Of MTs Al-Rahmah Islamic Boarding School” . Graduate research paper, Departemen of English Education, Faculty of Education and Teacher Training, State Islamic University, “Sultan Maulana Hasanuddin Banten”. Advisers : Dr. Apud, M.Pd and Emilia Sukmadara Damanik, M.Hum.This study is entiltled “the relantionship between vocabulary mastery and listening ability (a relationship study at the third year student of Mts Al-rahmah walantaka, kota serang)”. It attempts to find out whether there is a relantionship between vocabulary mastery and listening ability. The method applied on this study was descriptive quantative method. The population of this were the third grade students of MTs Al-rahmah Walantaka. The sample of this study was 30 students of class IX –A by using simple random sampling. Here, The sample was given two kinds of tests. Those are a set of vocabulary mastery test and listening ability tests. The vocabulary mastery test was conducted to know the students’ ability in understanding the meaningiiiof words by finding the same meaning and the opposite meaning of the words. The listening ability test was also conduted to know their ability in graping and understanding the information in the oral texts. The result of this research shows that most of the students who got high score in vocabulary mastery test also got high score in listening ability test. From the statistical analysis by using product Moment Correlation, the obtained coefficient of relationship is 0.94. Moreover , in the comuted listening test is 14,58. Therefore, this result showns that the relantionship between vocabulary mastery and listening ability is highly positive. It means that the alternative hypothesis (H2) is accepted and null hypothesis (H1) is rejected. In conclusion, there is a relantionship between vocabulary mastery and listening ability.
Development of future teachers of English information-digital competence

The article focuses on the issue of future teachers of English informationdigital competence development as an important condition for the development ofthe information society as one of the national priorities. The author states thatwhile the future teachers are obtaining higher education, the secondary teachers andschool students are also developing and moving forward. The issue of the development of the future teachers of English information-digital skills is considered to bean urgent issue facing modern pedagogical institutions of higher education. Theways of future teachers of English information-digital competence development arerevealed, the factors influencing this process and the issues to be taken into consideration are studied. Special attention is paid to the communication and its featureson the Internet: symbols, hieroglyphs, memes, emoticons, infographics, etc. as wellas virtualization and digitalization. These tools are considered to encourage students to communicate in a non-native language as they make this process moreexpressive and easier for understanding. The issue of «digital immigrants» teachingthe «digital natives» is partially touched. The article presents the unit «Applicationof Information and Communication Technologies in Foreign Language Learning»being a part of the experimental curriculum of «English Language Teaching Methodology» worked out within the Joint Project of British Council Ukraine andMinistry of Education and Science of Ukraine «New Generation School Teacher».Teacher’s information-digital skills, presented in the article, include the ability touse a variety of software to learn and teach English; to use social networks, blogs,sites, to evaluate the potential of online audio and video material for languagelearning; to assess the potential risks of using the Internet for students of all agesand to set cybersecurity rules; to study current trends in mobile learning and to usemobile phones for educational purposes. The examples of the activities for futureteachers of English information-digital skills development are described as they areused in Methodology classroom.
Regionalizing security and decentralizing Nigeria’s security architecture: What is the position of the media?

Background: The debate on decentralization of Nigeria’s internal security architecture is not a recent one and the clamour for state and community policing have not died down either. However, the recent twist in this debate is the introduction of “regional security outfits” -which intensify the arguments. Media, the vanguard of the society has been partly blamed for fanning the embers of regionalism in the country and the escalating of insecurity.Objective: Investigates the position of media amidst the debates on community policing, state policy and regional security network for efficient security of the countryMethodology: Data were sourced through interviews with media scholars and professionals who have wealth of experience on the arguments on regional security, state police, community policing and the alternative solution to myriad of insecurity challenges bedevilling the nation; fashioning the role media should playin providing solutions. The data were analysed thematically.Results: The study found that through correlation and surveillance roles, media provide a robust platform for cross-fertilization of ideas on solutions to looming insecurity challenges facing the entire nation. Media is expected to serve as unbiased umpire in the debates for community and state policing as a form of decentralization of the security architecture which the various regions of the country wants to achieve through the creation of “regional security outfits” - “Amotekun” in Southwest; “ShegeKaFasa” in the North; “AbubeAgu” in the Southeast; “BRACED” in the Southsouth and similar moves in the North central. The fear is that if these issues are not managed properly, regionalism will create more security challenges as done in the past than solving it.Unique Contribution: The study provides the position of media regarding insecurity amidst the debate for community policing, state police and regional security for the effective security of Nigeria.Key Recommendation:At this period of serious insecurity in the land, all stakeholders and media inclusive is expected to promote ideas that will ensure full security of the country.
Reconfigurable all-optical logic AND and OR gates based on VCSEL-SA subject to optical pulse injection

We proposed a reconfigurable all-optical logic gate (AND, OR) based on a vertical-cavity surface-emitting laser with saturated absorber (VCSEL-SA) subject to dual pulse injection and numerically investigated the effects of injection delay, injection strength and bias current on the system performance. The results show that, through adjusting bias current, the pulse injection strength and the injection delay between two pulses, the reconfigurable all-optical logic gate (AND, OR) can be realized. For a suitable injection intensity, all-optical logic AND and OR gates can be implemented within a certain bias current range. Moreover, both AND and OR gates have good robust to noise under suitable injection strength. These results are expected to open a new window for future ultra-fast neuromorphic computing systems to solve complex classification and decision-making tasks
Design of Tabletop Automated Plane Polariscope for Digital Photoelastic Measurements

Digital photoelasticity, a non-contact, non-destructive and optical technique is the most widely accepted methodology for stress measurement. Phase shifting technique (PST) algorithms serve the purpose of evaluating the isochromatic and isoclinic data with more accuracy. However, manual operations of the polariscope for PST is tedious and time-consuming. Further, manual operations confront with high chances of errors during calculations due to the manual rotation of the optical elements. This work aims towards overcoming these limitations by automating the rotational procedure of the plane polariscope-based optical configurations. A compact, table-top optical box design for analyser and polariser is proposed in this work. The plane polariscope-based optical modules can be effectively used for automating the plane polariscope-based phase shifting procedures and thereby enhancing the scope of digital photoelastic stress measurements.
Research Guides: Accessing Library Resources: Personalization

This guides takes the user through the steps of creating direct links to articles, eBooks and media that can be used in courses.
Recognition Method of Abnormal Power Consumption State of Power Users Based on Strategy Gradient Algorithm

Because the traditional method ignores the problem of power load data preprocessing, the accuracy of the recognition result of the power consumption status is not high, the recognition efficiency is not high, and the recognition effect is not good. For this reason, a method for identifying the abnormal power consumption status of power users based on the strategy gradient algorithm is proposed. The preprocessing of power load data mainly includes the completion of missing data and the feature extraction of power load data. Based on the results of the preprocessing, the abnormal increase in user power consumption is detected. Finally, the strategy gradient algorithm is used for initial training and training process testing to complete the identification of the abnormal state of power users. The experimental results show that the accuracy of the power status recognition result of the proposed method is higher, and the recognition time is always less than 2.0 s, indicating that the recognition effect of the method is better.
EFFECT OF MULTI-MEDIA APPROACHON THE DEVELOPMENT OF SELECTED COMPETENCIES IN MATHEMATICS AMONG SLUM STUDENTS

Since Independence, UEE has been solitary imperative goal of educational progress in India. To achieve UEE, Government of India has initiated numerous programmes but it is sad that dropout rate is not declined. A foremost percentage of the dropouts comprises of socially underprivileged children. Most of the children have to effort very hard to earn their livelihood, and reside in slums. Recent approaches in the education technology like applications of multimedia by computer technology prove to cater to the various requirements of students in the educational system. Multimedia is a sole medium with structures of quality, audio-visual recording, and sound effects. Using Multimedia Approach, in teaching-learning process, is a perceptual knowledge, and as outcome students acquires the concepts and skills effectively. The present study was carried out with the objective to study the effect of the multi-media approach in relation to traditional approach in fostering selected Mathematics Competencies among Slum Students. The sample of the study was 40 slum students of standard six. The pre-posttest experimental design was followed for the present research study. The treatment for the Experimental group was given by the investigator for 40 sessions specically to foster Mathematics Competencies using a specially designed instructional material. Analysis of the results revealed, that Multi-Media Approach was signicantly more effective than of the traditional approach in fostering selected Mathematics Competencies among Slum students. Educational implications of the study were discussed in the study
LibGuides: Start Reading Literature Classics for Everyone: Children's Literatures

An introduction for readers who are interested in reading the classics, including lists, recommendations, themes, and genres.
Determination of Landmarks on Vietnamese Human Face Using Convolutional Neural Network

Ear-nose reconstruction is the change of the original ear-nose structure or returning it to its natural shape by plastic surgery or the use of prostheses. In this study, we only focus on studying the location of landmarks on the Vietnamese face to serve the reconstruction and restoration of two parts of the face, namely the nose and the ear. This study has achieved some good results that are evaluated for results due to manual measurement and previously reviewed methods. The research has created conditions and premise for the application of new technology in practice to improve the quality of social life, improve diagnostic results through machines and the application of artificial intelligence. With manual measurements, there is often a huge error because sensitive and vulnerable areas of the face cannot be reached, so the anthropometric identification method on images has highly accuracy productivity, compact and automate data processing to serve research and application.
A 3D Image-Based Visual Servoing Controller for 3DOF Robot with Single Camera

Robot control using the Jacobian-based method combined with robotic vision is very popular. In this paper, we present an image-based controller for high-quality tracking-control problems of robotic manipulators. One of the key advantages of the proposed controller is that when the joint variables have backlash. The control accuracy is still achieved thanks to the feedback information based on the error of the pixel in the robot’s vision. To control the robot reaching the desired position on the camera, the velocity of the robot’s joint is properly computed from the variation signal acquired from changing camera. In this sense, we do not need to determine the depth of the camera for building an interaction matrix. Effectiveness of the designed method is intensively demonstrated through simulation results.
SAO TOME E PRINCIPE: Coup Bid Foiled

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 59, Issue 11 p. 23818C-23819B National Security SAO TOME E PRINCIPE: Coup Bid Foiled First published: 13 December 2022 https://doi.org/10.1111/j.1467-825X.2022.10809.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume59, Issue11December 2022Pages 23818C-23819B RelatedInformation
L’<i>Agamemnon</i> di Seneca nel volgarizzamento tardo-quattrocentesco di Evangelista Fossa Tecniche e finalità di traduzione

The first Florentine vernacular translation of Seneca’s Agamemnon into verse dates back to the late 15th century. It was composed by Friar Evangelista Fossa, a member of the Order of Servants of Mary, and was published in Venice on 28th January 1497. The translation is incomplete, since it only covers the tragedy up to its second chorus; however, it has interesting features both as far as metrics (the models provided by Dante’s Commedia and by vernacular bucolic poetry are evident) and contents (the Christianisation of the hypotext is relevant) are concerned. The contribution offers an in-depth study of Fossa’s translation style and his debt towards vernacular literature and the humanistic commentaries on Seneca’s tragedies by Gellio Bernardino Marmitta and Daniele Caetani.
Enhancing Feature Selection Accuracy using Butterfly and Lion Optimization Algorithm with Specific Reference to Psychiatric Disorder Detection &amp; Diagnosis

As the complexity of medical computing increases the use of intelligent methods based on methods of soft computing also increases. During current decade this intelligent computing involves various meta-heuristic algorithms for Optimization. Many new meta-heuristic algorithms are proposed in last few years. The dimension of this data has also wide. Feature selection processes play an important role in these types of wide data. In intelligent computation feature selection is important phase after the pre-processing phase. The success of any model depends on how better optimization algorithms is used. Sometime single optimization algorithms are not enough in order to produce better result. In this paper meta-heuristic algorithm like butterfly optimization algorithm and enhanced lion optimization algorithm are used to show better accuracy in feature selection. The study focuses on nature based integrated meta-heuristic algorithm like Butterfly Optimization and lion-based optimization. Also, in this paper various other Optimization algorithms are analyzed. The study shows how integrated methods are useful to enhance the accuracy of any computing model to solve Complex problems. Here experimental result has shown by proposing and hybrid model for two major psychiatric disorders one is known as autism spectrum and second one is Parkinson's disease.
The Security Challenges of Big Data Analytics: A Systematic Literature Review

The huge amount of data generated from heterogeneous sources such as social networking sites, healthcare applications, sensor networks and many other sources are drastically increasing from time to time swiftly. Big Data is described as extremely large datasets that have grown beyond the capability to manage and analyze them with traditional database processing tools. Big data analytics is the use of advanced analytical techniques against a very large heterogeneous datasets that include structured, semi-structured and unstructured data from different sources. The larger the quantity of data by itself is not advantageous unless analyzed to produce valuable information. This deluge amount of data creates an operational risk in which, the risks arise from storage devices, security of tools or the technologies used to analyze the data. In this paper, we perform a systematic literature review to give comprehensive review of security challenges and risks related to big data analytics. Security mechanisms such as cryptographic and non-cryptographic techniques are used to secure big data during analytics. The security of big data at rest and in transit gets enough investigation while a few researches had done at securing data at processing stage. Even though a number of possible techniques were proposed for big data security, it still suffers performance issues. This article is trying to explor security issues that used for preserving the Confidentiality, Integrity and Availability (CIA triad), non-repudiation as well as Access control in the context of big data analytics. Finally, we identify open future research directions for security of big data analytics. This paper also can serve as a good reference source for the development of modern security-preserving techniques to address various challenges of big data analytics security and privacy-issues.
A Form Set Approach to the CSC

Since the formulation of the Coordinate Structure Constraint (CSC), extraction from coordinate structures has been observed to be illegitimate, but it is empirically challenged by exceptional cases. Given this, we propose that conjuncts in general are base-generated by Form Set (Chomsky 2020, 2021), being subject to the parallel structure constraint; extraction occurs in an across-the-board mode, capturing the CSC. Concerning the exceptional VP conjuncts where asymmetric extraction is allowed, we argue that they are properly labeled in the mode of syntactic restructuring (Choe 1988; Wurmbrand 2001) (Kim and Park 2021, 2022); accordingly, the requirement of the single event structure (Truswell 2007) is met, feeding sub-extraction. In short, this paper deduces the CSC by resorting to Form Set in tandem with labeling via restructuring.
Research on Multi-source Information Fusion based on Extended Kalman Filter

Aiming at the problems of poor robustness and of single low accuracy sensor in obstacle detection, this paper proposes multi-source information fusion method based on extended Kalman filter for position data of radar and LiDAR. By means of coordinate transformation, the obstacle position data collected by the two radars are unified to the polar coordinate system, and the extended Kalman filter is constructed according to the state vector of the obstacle position data, and the specific parameters of the extended Kalman filter are selected to fuse the location information collected by the two sensors. The simulation results show that the algorithm can effectively fuse the location information collected by different sensors and improve the accuracy and stability of obstacle location information detection.
Evaluation of project completion time prediction accuracy in a disrupted blockchain-enabled project-based supply chain

Disruption risks may arise in a project-based supply chain due to the involvement of various actors, e.g. suppliers and transport service providers, along the chain besides its decentralised structure. This paper addresses monitoring the project completion time estimates at different stages of a project lifetime through tracking package ownership transfer events. We track the ownership transfer events by employing blockchain technology and smart contracts. Blockchain technology offers data security and builds trust along the supply chain. Consequently, a blockchain-enabled tracking system for package ownership transfer enhances real-time monitoring of project completion time estimates. In addition, this paper uses a simulation-based approach to quantify the acquired benefits from a real-time blockchain-enabled traceability system in a project-based supply chain. The proposed approach considers a straightforward supply chain consisting of two parties. Our proposed approach examines multiple disruption scenarios to assess the impact of blockchain technology integration on the project completion time estimates accuracy. The results show, for all scenarios, the superior performance of the blockchain-enabled traceability system compared to the baseline model with limited tracking of ownership transfer events.
Serverless Basics

Serverless is a means to create software that will run on a server fully managed by a cloud provider instead of a server managed by our organization, and we should only be paying for actual utilization, not idle time or availability.