Reviewerly/exHarmony huggingface dataset:
SEPRG: Sentiment aware Emotion controlled Personalized Response Generation

Social chatbots have gained immense popularity, and their appeal lies not just in their capacity to respond to the diverse requests from users, but also in the ability to develop an emotional connection with users. To further develop and promote social chatbots, we need to concentrate on increasing user interaction and take into account both the intellectual and emotional quotient in the conversational agents. Therefore, in this work, we propose the task of sentiment aware emotion controlled personalized dialogue generation giving the machine the capability to respond emotionally and in accordance with the persona of the user. As sentiment and emotions are highly co-related, we use the sentiment knowledge of the previous utterance to generate the correct emotional response in accordance with the user persona. We design a Transformer based Dialogue Generation framework, that generates responses that are sensitive to the emotion of the user and corresponds to the persona and sentiment as well. Moreover, the persona information is encoded by a different Transformer encoder, along with the dialogue history, is fed to the decoder for generating responses. We annotate the PersonaChat dataset with sentiment information to improve the response quality. Experimental results on the PersonaChat dataset show that the proposed framework significantly outperforms the existing baselines, thereby generating personalized emotional responses in accordance with the sentiment that provides better emotional connection and user satisfaction as desired in a social chatbot.
Optimasi Keamanan Web Server terhadap Serangan Broken Authentication Menggunakan Teknologi Blockchain

The aspect of the internet that needs to be considered a security is the login system. The login system usually uses a username and password as an authentication method because it is easy to implement. However, data in the form of usernames and passwords are very vulnerable to theft, so it is necessary to increase the security of the login system. The purpose of this research is to investigate the security of the system. Whether the system is good at protecting user data or not, minimizing execution errors from the system and minimizing risk errors on the system so that the login system can be used safely. This research is conducted to test the system security with Burp Suite on the login system that has been built. Testing the security of this system by experimenting with POST data which is secured using blockchain technology makes the data sent in the form of hash blocks safer and more confidential so that the system is safer than before. Blockchain technology has successfully secured usernames and passwords from broken authentication attacks. By using the Burp Suite testing system, login is more specific in conducting security testing.
A ray of happiness in the indian education system

From the beginning of time, the meaning ofeducation has been dynamic. It has changed frombeing defined as one's dharma in ancient timesto being understood as ‘scientific thinking’ today.Mirrored in the Preamble to the Indian Constitutionis the definition of an educated Indian: a personwith scientific temperament and liberal outlook,who is capable of individual thinking. She will bringan era of new knowledge on the foundation ofher observations, experimentation and reflectionby being peaceful and happy (Liav Orgad, 2010,Heignotes, 2016). But is this dream, which thenation saw in 1947, being fulfilled 73 years after itsindependence?
PENINGKATAN HASIL BELAJAR TEMA 7 MELALUI PENERAPAN MODEL DISCOVERY LEARNING PADA SISWA KELAS IV

THE IMPROVEMENT OF LEARNING OUTCOMES OF THEME 7 THROUGH THE APPLICATION OF THE DISCOVERY LEARNING MODEL IN CLASS IV STUDENT The purpose of this study was to improve the learning outcomes of fourth grade students at SDN Empang 2 Bogor through the application of the Discovery Learning model. The type of research used is Classroom Action Research (CAR). The subjects of this study were fourth grade students at SDN Empang 2 Bogor with a total of 21 students. Data collection techniques using tests, data from observations and rubrics for teacher and student activities. The data analysis technique used is descriptive quantitative and qualitative. The result of this study is the achievement of the targets that have been determined by the researchers and collaborators, namely 85% of the number of fourth grade students obtained a score of 70 in solving evaluation questions. The percentage results obtained in the first cycle obtained a percentage of 61.90% or as many as 13 students from 21 students who obtained a score of 70, while 8 students had not achieved a score of 70 if the percentage was 38.10%. Then the results of the second cycle of research experienced an increase in student learning outcomes when compared to the first cycle, namely as many as 19 students or 90.48% who got a score of 70, and 2 students or 9.52% of students who had not achieved a score of 70. Based on these data, it can be concluded that student learning outcomes in cycle II have reached the target of 85%. Thus, through the application of the Discovery Learning learning model, it can improve the learning outcomes of fourth grade student
3D Encoding Least-squares Reverse Time Migration in Curvilinear-r Domain Based on Student’s t Distribution

Summary We propose a wavefield continuation operator in curvilinear-τ domain to make the sampling space in vertical direction to be uniform. Objective function based on student’s t distribution and conical wave encoding is established to enhance robustness and improve computational efficiency of least-squares reverse time migration (LSRTM). Demigration and adjoint wave equations in curvilinear-τ domain are derived to get the synthetic records and calculate the backward propagated wavefields. Random optimization is introduced to acquire a weighted gradient. The proposed 3D encoding LSRTM in curvilinear-τ domain is tested by modified 3D overthrust models. The results reveal that the proposed method produces high-quality images with high SNR, balanced amplitude and improved resolution, and impact of the surface topography is well overcome without false scattering noise.
What Role Agriculture and Employment Can Play in Creating and Fostering Pro Poor Growth in Central Africa?: Evidences From FMOLS Panels on Sector Disaggregated Components in CEEAC

This paper aims at investigating the structural impacts of sector components of value added and employment on pro poor growth in central African countries between 1994 and 2019. It uses income of lowest 20% and the vast majority income as measures of pro poor growth. The results show that growth in agriculture and natural resources rents reduce pro poor growth when measured by the income share of the lowest 20%. Growth in agriculture still has a negative impact on pro poor growth measured by the growth in vast majority income. Relying on the fully modified ordinary least square (FMOLS) method, the estimates also show that employment in any sector, where significant, improves the pro poorness of growth. In view of the evidence, incentives on agriculture activities rather than non-agricultural to create pro poor growth may have inverse results as these could be held mostly by rich proprietors and exports oriented.
Hybrid of SVM+PSO in CLIR Ranking using Word2Vector

Storing of information that is large in amount became possible after the realization of the importance of finding and archiving with the computer by the people.In this paper we are using query in Hindi and using corpus dictionary the query is translated into English and related to the extracted keywords the relevant document or answer is classified using SVM and answer will be generated using PSO in English.SVM  is used as a classifier which classifies the answers or documents .If condition doesn’t match the knowledge base gets updated and new updated answer will be generated .Finally using the PSO optimization the best answer is displayed after ranking. For feature extraction Word2Vector is applied. We have used PSO, SVM  and SVM-PSO  for the Implementation of CLIR and compare the results between them. The performance of the system thus improves 4 to 5 percent by SVM-PSO. FIRE 2011 ADHOC dataset is used for the performance evaluation of CLIR.Keywords : CLIR, Ranking, PSO, SVM, Machine Learning
Implementing STEM-related Activities for School Aged Users

Published literature acknowledges the importance of Science, Technology, Engineering, and Mathematics (STEM) education in various educational institutions and its contributions to the future of a nation’s economy. This paper focuses on successful library STEM-based programs that were undertaken from August to September 2019 for school-aged users in a public library. This paper also explores users’ perceptions in attending STEM-based activities in the library as well as their feedback on how future library programs on STEM could further be improved. These findings seek to provide new perspectives for librarians, educators, teachers, and staff in creating opportunities for STEM-based initiatives in an informal learning environment.
LibGuides: Animated GIFs as Instruction Tools - ILF Annual 2019 - Public: Animated GIF: Internet Speed Detection

This is a workshop guide developed for ILF Annual 2019, with extra boxes to allow public users to see the code used.
An increase in the prevalence of Multiple Sclerosis has moved Kuwait to a high-risk zone (P4.6-009)

May 8, 2019April 9, 2019Free AccessAn increase in the prevalence of Multiple Sclerosis has moved Kuwait to a high-risk zone (P4.6-009)Raed Alroughani, Fajer AlHamdan, Sameera Shuaibi, Samar Ahmed, Raed Behbehani, Shashishekha Lamdhade, and Jasem Al-HashelAuthors Info & AffiliationsApril 9, 2019 issue92 (15_supplement)https://doi.org/10.1212/WNL.92.15_supplement.P4.6-009 Letters to the Editor
On the characterization of some algebraically defined bipartite graphs of girth eight

For any field F and polynomials f2,f3∈F[x,y], let ΓF(f2,f3) denote the bipartite graph with vertex partition P∪L, where P and L are two copies of F3, and (p1,p2,p3)∈P is adjacent to [l1,l2,l3]∈L if and only if p2+l2=f2(p1,l1) and p3+l3=f3(p1,l1). The graph Γ3(F)=ΓF(xy,xy2) is known to be of girth eight. When F=Fq is a finite field of odd characteristic or F=F∞ is an algebraically closed field of characteristic zero, the graph Γ3(F) is conjectured to be the unique one with girth at least eight among those ΓF(f2,f3) up to isomorphism. This conjecture has been confirmed for the case that both f2,f3 are monomials over Fq, and for the case that at least one of f2,f3 is a monomial over F∞. If one of f2,f3∈Fq[x,y] is a monomial, it has also been proved the existence of a positive integer M such that G=ΓFqM(f2,f3) is isomorphic to Γ3(FqM) provided G has girth at least eight. In this paper, these results are shown to be valid when the restriction on the polynomials f2,f3 is relaxed further to that one of them is the product of two univariate polynomials. Furthermore, all of such polynomials f2,f3 are characterized completely.
Aiding Disabled Patients using Motion Based Message Conveyor

This is an innovative application that can help the disabled or paralytic patients to convey messages or call helper or the nurse just by using simple gesture movements since paralytic or disabled people cannot press a button or ring to call a nurse or helper when they need. Even if they can move a particular limb like moving their hand up to a limit or moving their legs up to a limit, this system can be mounted on those limbs and just by a simple movement or a gesture, and they can pass on various messages and call the attendant. The reason why this prototype is needed is described by the following objective. The primary objective of this project is implementing a relatively less expensive reliable framework that helps in assisting the establishment of communication between immobile or disabled people and their caretaker or nurse. The method how to do is described here. Messages can be easily sent to the nurse or caretaker simply by tilting the accelerometer that is joined with the mobile body part. The tilt angle is then sent to a controller which then communicates between the disabled person and the caretaker. It also takes appropriate decision to send the respective message according to the corresponding tilt. The message that is to be delivered can be shown on the LCD display. When the message is being displayed, the buzzer goes off to alert the caretaker or concerned person in case of any emergency. Hence project gives an effective, easy and a vital solution for many kinds of issues that the caretakers and nurses face for communicating with the patients that are disabled or immobile.
CAPTURING STUDENTS’ VOICE ON THE USE OF MOODLE IN ONLINE ENGLISH LANGUAGE TEACHING

The aim of this study is to explore students’ voice related to the use of moodle in online learning system especially in times of pandemic. Through qualitative case studies, students’ perceptions as well as experience of using moodle in learning English are provided. The data were gathered using oneon-one semi-structured interviews with 6 students of English department at an Islamic university in Indonesia that were chosen randomly. To make meaning of the data, the collected data were thematically analyzed. The result of this study reveals that some students like to use moodle in the online learning because it is helpful in accessing and discussing the material, submitting the assignment, as well as encouraging students’ participation in the learning process. However, the disruptions of internet connection, the server problems, as well as its complicated feature make students reluctant to use it. Therefore, this study proposes an issue that can be used as an evaluation to make the server and its feature better.
Dealing with missing data and data fusion in smart environment context

The rising inflow of people living in megacities has demanded a smart approach to create a sustainable infrastructure to urban areas and provide more efficient services. Buildings automatically opening front doors, lights flicking on, heating and cooling systems adjusting by themselves, cameras tracking the traffic among other situations, are examples of countless arrays of sensors interacting with spaces and people. These sensors and systems dispatch huge volume of data into software platform hundreds of times per minute, demanding high velocity in processing and storing this information through the network, Internet of Things. This digital behaviour gives a foundation to the concept of smart city. While the data variety, volume and velocity are the Big Data definition, both are anchored on the development of Information and Communication Technology.However, the available data are distributed and collectively aggregated and its fusion might reveal patterns that would not be possible if the data were analyzed separately. The main assumption in data fusion review is that the big picture from fused information allows the optimization of electricity flow through the power grid, supporting transportation networks moving, watching over people’s health and safety, and much more. Yet, according to the literature review, there are two major problems related to fusion data. The first issue is, any system (e.g., application and platform) is susceptible to produce data that might be inaccurate, insufficient, duplicated, incorrect, inconsistent, ambiguous, besides the missing values. The second, in most cases, fusion solutions focus on predefined mining strategy and supervised tasks.To overcome the first issue, it is noted that missing values can significantly affect the result of analyses and decision making in any field and that the two major approaches to deal with this issue are statistical and model-based methods. Whereas the former brings bias to the analyses, the latter is usually designed for specific cases. To cope with the limitations of both methods, we present a stacked ensemble framework integrating the adaptive random forest algorithm, the Jaccard index, and Bayesian probability. Considering the challenge that the heterogeneous and distributed data from multiple sources represents, we have built a model that supports different data types: continuous, discrete, categorical, and binary.Aiming to overcome the second limitation of data fusion, we introduce a fusion ensemble learning model for multiple and heterogeneous datasets stacking the Restricted Boltzmann Machine, which gather latent features of the unlabelled datasets and the matrix tri factorization algorithm to fuse the features in a block-matrix structure. Combining such techniques, we were able to design an efficient knowledge discovery tool. The evaluation of both proposed solutions, missing values imputation and fusion data has shown that our ensemble learning model produces encouraging and competitive results, overcoming the limitations previously found in the literature review.
Design and Development of Periodic Table Game for Students in Secondary School

This research aims to propose a Chemi-Chronicle game, a periodic table game that may help memorization tasks become more enjoyable.
A Random Dual-Security based An Image Encryption Scheme for IoT

Due Nowadays, the demand for IoT-enabled devices is increasing exponentially and the communications between these devices are mostly in the form of color and gray-scale images.In the same sequence, the demand for IoT applications is also increasing, so it is a challenging task to protect the IoT applications from attackers.Therefore, an efficient encryption algorithm is required due to the limitation of IoT-enabled devices in terms of computational complexity and memory.In this work, a novel encryption scheme based on dual security is presented.Here in this work, dual security is used where at one level, the following keys (64 80-bit, and 96-bit) are used, which key size will be used for encryption, is unknown to the user during encryption and decryption.That means for each image, a unique random key size will be used for encryption.While at the second level, a new session key (Key size will be decided at level one) is generated for every image encryption, which increases the security at this level.So this two-level security will reduce the chances of a man-in-middle attack.This scheme uses the hybrid of crossover and logistic map which enhance the randomness in the presented scheme.The strength of the presented encryption scheme is estimated by checking the presented technique on various types of cryptographic attacks such as differential attack (NPCR), statistical attack (correlation analysis, entropy, and histogram analysis), noise attack, and prone to the user secret key.The experimental outcomes show that the presented hybrid scheme is secured enough against different cryptographic attacks.
Le risorse documentarie dell’Istituto di Teoria e Tecniche dell’Informazione Giuridica del CNR per un’analisi di termini giuridici rilevanti: il caso di studio della parola «razza»

Part of public opinion believes that Article 3 of the Italian Constitution should be reformulated by eliminating the word "race", because of its historical meanings. Some jurists disagree with this opinion believing that this presence is still justified by the need to fight possible discrimination or to protect minority rights. Biologists have also entered the debate, asserting that this word cannot be used to refer to human races because there’s no scientific basis for race. Cleared up any doubt about the origin of the term and the use that should be made of it, to contribute to today's debate, we have verified how this term was used in the language of law, using the terminological resources of the Institute of Legal Informatics and Judicial Systems (IGSG) – CNR databases.
STRIVE: Scene Text Replacement in Videos

We propose replacing scene text in videos using deep style transfer and learned photometric transformations.Building on recent progress on still image text replacement,we present extensions that alter text while preserving the appearance and motion characteristics of the original video.Compared to the problem of still image text replacement,our method addresses additional challenges introduced by video, namely effects induced by changing lighting, motion blur, diverse variations in camera-object pose over time,and preservation of temporal consistency. We parse the problem into three steps. First, the text in all frames is normalized to a frontal pose using a spatio-temporal trans-former network. Second, the text is replaced in a single reference frame using a state-of-art still-image text replacement method. Finally, the new text is transferred from the reference to remaining frames using a novel learned image transformation network that captures lighting and blur effects in a temporally consistent manner. Results on synthetic and challenging real videos show realistic text trans-fer, competitive quantitative and qualitative performance,and superior inference speed relative to alternatives. We introduce new synthetic and real-world datasets with paired text objects. To the best of our knowledge this is the first attempt at deep video text replacement.
The Role and Beliefs of P.E. Teachers and Students in Digital Teaching Resources: A Study Combining Qualitative and Quantitative

The rapid development of ICT and digital education resources (DER) has brought opportunities for the digital construction of school P.E., and has been quickly introduced into the P.E. environment. P.E. teachers effectively integrate DER into P.E. practice and play its due role and value. The goal of this research is: P.E. teachers endow the value and significance of DER in practice teaching, and innovate P.E. teaching methods and models. Based on qualitative and quantitative methods, necessary information resources were obtained through special interviews and questionnaire surveys. Chinese elementary school P.E. teachers and students participated in this interview and survey. The results show that P.E. teachers attach great importance to integrating DER into classroom practice. Whether it can achieve the quality of P.E. is still uncertain. This is also closely related to the digital ability of students. According to the survey, students have a strong interest in sports DER, which can better stimulate students' interest and enthusiasm in learning. An important conclusion obtained from the survey of teachers and students is: DER has important significance and practical value in the practice of P. E.. It not only improves the quality of P.E., but also promotes and promotes the in-depth integration of sports, ICT and DER to achieve HyFlex P.E. mode.