Reviewerly/exHarmony huggingface dataset:
Le « récit de récit » à l’ imparfait en italien : la piste évidentielle

AbstractIn this paper we present a survey which was built and conducted with the aim of testing the evidential hypothesis concerning the Italian imperfect tense proposed in Baranzini & Ricci (2015). Our work is based on the assumption of the existence of a macro-category including different uses of the imperfect (oneiric, ludic, fictional account,… uses), which can all be described as « account of an account » uses : our hypothesis is that, in certain aspectually and textually specific contexts, the possibility offered within the Italian language to use the imperfect as an alternative to perfective tenses for a narration is an evidential indication of non-spontaneous, narrative double mediation. On the basis of real occurrences, we made up symmetric text items featuring both morphological variants (imperfetto vs passato prossimo) for the types of account considered. Although the results of our survey are preliminary and do not yet allow for definitive conclusions, they support our initial evidential hypothesis, which will need further in-depth investigation.
15. Scientific controversies

The present article presents a survey of the basic forms and functions of scientific controversies and of the state of the art in research on controversies. Starting from the assumption that controversies are indispensable for the formation, evolution and evaluation of scientific theories and their empirical examination, the article gives a brief overview of strands of research on controversies in different disciplines. It then goes on to provide a description of the basic pragmatic organization of scientific controversies, using an action-theoretic framework of pragmatics which is partly inspired by Wittgenstein’s concept of language games. In this framework, controversies are viewed not as a confrontation of standpoints or propositions but as a dynamic linguistic exchange. The main parameters of the organization of such an exchange include dialogue types and text types, moves and strategies of individual contributions to controversies, topic organization and knowledge management, communication principles, media of controversy, and the language of controversy. In a concluding passage, the article mentions desiderata for future research on controversies.
An identity-based integrity verification scheme for cloud storage in 5G environment

In order to solve the security problems such as leakage, tampering of sensitive data in cloud storage, the previous schemes usually sacrificed communication efficiency for higher security, which caused serious computing overhead. Therefore, in this paper, we adopt the idea of Chinese Commercial Cryptographic SM9 and SM3 algorithm, and regard user identity identification as interference factor and verification mechanism, so as to propose an identity-based integrity verification scheme for cloud storage. Furthermore, we also give the security analysis under the assumption of Diffie-Hellman and discrete logarithm problem on elliptic curve. Finally, simulation results show that our scheme can not only verify the integrity of sensitive data correctly, but also resist common malicious attacks. Especially in terms of efficiency, our scheme can effectively reduce the storage and computing burden, space and time cost. This will have a certain guiding significance for the privacy protection of cloud storage in 5G environment.
Development of Mobile Application for Faculty Time out Information

In the trend of mobile applications, the world is surfing through many applications for various personal and professional purposes. In every domain including the cutting-edge technology such as Machine learning, IoT (Internet of Things), representing the data to the user in a proper and understanding manner is very important. This is where mobile applications come to use. Mobile applications can be used to resolve many communication issues especially when communication is between low level to high level and vice versa. This application is made to serve as one of the best ways of communication between faculty and students especially when the faculty is not available in the cabin and the student is willing to meet the faculty at the same time. The mobile application uses Dart Language with Flutter UI Software Development.
Blockchain Solutions for Scientific Publishing

AuthorsLin Carson1 AffiliationsBAKERpedia, Portland, OR, U.S.A. 1 BAKERpedia, 707 SW Washington St, Ste 1100, Portland, OR 97205, U.S.A. E-mail: lin@BAKERpedia.com; Website: https://BAKERpedia.com © 2019 Cereals & Grains Association
Scrum Challenges: An Agile Process Reengineering in Software Engineering

Business Process Reengineering (BPR) is an organizational strategy seeking identification of critical factors affecting software development practices in Software Engineering Management (SEM). The agile approaches opened the door of BPR in software development organizations. Dynamically changing technological environment has invited software development organizations, towards adoption of reengineering of strategies and practices. Nowadays, Scrum has been trending as an agile framework for Software Engineering Management (SEM) in software development organizations but considerable research work has not been done with Scrum and its successful implementation yet. The goal of this research is to highlight weaknesses and limitations of Scrum like project level documentation, planning, estimation, progress tracker, CICD etc.; and identification of challenges and issues with implementation of Scrum in software project development like large scaled project in distributed work environment with multiple Scrum teams, organizational structure, lack of knowledge ad awareness about Scrum; using empirical analysis and literature studies. The result of this research will open the door for the next stage of research to overcome the limitation and issues with implementation of Scrum and raise a request of BPR towards focus on improvement in SEM practices in software development organizations by proposing proper training about the empiricism control theory of Scrum that helps organizations in understanding the successful implementation of Scrum and its benefits. This research also raises a question in the form of suggestion that it is good time for a hybrid form of Scrum with other standard agile based frameworks or traditional SDLC methodologies.
Feature Detection

Computer vision relies on image features describing points, edges, objects or colour. The book concerns solely so-called hand-made features contrary to learned features which exist in deep learning methods. Image features can be generally divided into global and local methods.
ANTECEDENTS TO SUCCESSFUL SOFTWARE TRAINING: A RESEARCH FRAMEWORK &amp; PRELIMINARY EVIDENCE

Training has been identified as a critical success factor for the implementation of Information Technology (IT) in organizations.A qualitative study using a group technique to gather data was performed to identify antecedents to software training in order to improve the likelihood of successful training outcomes.We find that there is a broad set of antecedents to software training that may impact whether a specific training event would be considered successful.Our results include a preliminary model of software training success that includes constructs that can be found in prior research and several that have not received much, if any, attention from researchers.
Extreme Learning Model Based Phishing Classifier

Phishing Is An Act Of Attempting To Acquire The Users’ Data Such As Usernames, Passwords And Credit Card Details As It Was The Trustworthy Entity In An Electronic Communication. Because Of The Quick Development Of The Internet, Clients Change Their Inclination From Customary Shopping To The Electronic Business. Rather Than Bank Or Shop Robbery, These Days Culprit Attempt To Discover Their Victims In The Internet With Some Particular Tricks. By Utilizing The Mysterious Structure Of The Internet, The Culprits Set Out New Strategies, For Example, Phishing, To Betray Victims With The Utilization Of Fake Webpages To Gather Their Delicate Data, For Example, Account Ids, Usernames, Passwords, And So On. Understanding Whether A Website Page Is Genuine Or Phishing Is A Very Testing Issue, Because Of Its Semantics-Based Assault Structure, Which Predominantly Misuses The Pc Users’ Susceptibilities. Despite The Fact That Most Of The Software Companies Introduce Many Anti-Phishing Products, Which Use Blacklist Generator, Heuristic Approach And Ml-Based Methodologies, These Products Can’t Stop All Of The Phishing Attacks. The Main Objective Of This Paper Is To Find An Efficient Approach For Distinguishing The Phishing Sites Which Depends On The Extreme Learning Model. Specifically, The Proposed Method Computes Some Features As Input And Checks Whether The Given Url Is Phishing Url Or The Legitimate Url. The Proposed Extreme Learning Model Attains 97% Accuracy Rate For Detection Of Phishing Urls And If The Hidden Layers Increases The Accuracy Is Also Discussed.
Addition of hydrogen peroxide in electrocoagulation of dairy liquids

Standing out on the national and world scene as an important economic and social activity, the dairy products industries are characterized by their high polluting potential, especially due to the liquid effluents generated. In this context, the present work aims to study the application of the electrocoagulation process applied associatively with hydrogen peroxide (H2O2) in the treatment of dairy effluents using iron electrodes. Effluent treatments were carried out with the electrocoagulation process in a continuous flow reactor. For the method using electrocoagulation, the removal efficiencies in relation to color, turbidity, total organic carbon, chemical oxygen demand and nitrogen removal were 97.2%, 97.0%, 77.5%, 63.3% and 92.2%, respectively. The addition of H2O2 to the beginning of electrocoagulation process in the treatment of dairy effluents did not contribute to an increase in the efficiency of removing organic matter. When applied after an electrocoagulation step, it demonstrated to be efficient, reaching COD removals of 97.7%. Therefore, the electrocoagulation demonstrated to be a technically viable alternative for the treatment of dairy effluent.
General Purpose Opinion Mining System for Social Media Platform using Machine Learning Based Api

With the growth of technology there is lot of data available on the internet. Social media platform like Twitter, FaceBook,Google+,whats app,instagram etc are the platform that allow people to share and express their views, ideas, thoughts and experiences about any topics, post messages across the world. There are mainly two types of textual information available on social media platforms. One is fact and another next one is sentiments or more formally it can also called opinion. The social media is a platform where people gives their opinion regularly. These opinions may contain some factual information. For the analysis of sentiments we required some tools. Mostly text based mining is used for opinion mining. Text mining required lots of different tools and research work. This paper, provides a machine learning techniques for opinion calculation in Twitter..
Minerals Yearbook, volume III, Area Reports — International — Europe and central Eurasia

For additional information, contact: Director, National Minerals Information Center U.S. Geological Survey 12201 Sunrise Valley Drive 988 National Center Reston, VA 20192 Email: nmicrecordsmgt@usgs.gov The U.S. Geological Survey (USGS) Minerals Yearbook discusses the performance of the worldwide minerals and materials industries and provides background information to assist in interpreting that performance. Content of the individual Minerals Yearbook volumes follows:Volume I, Metals and Minerals, contains chapters about virtually all metallic and industrial mineral commodities important to the U.S. economy. Chapters on survey methods, summary statistics for domestic nonfuel minerals, and trends in mining and quarrying in the metals and industrial mineral industries in the United States are also included.Volume II, Area Reports: Domestic, contains a chapter on the mineral industry of each of the 50 States and Puerto Rico and the Administered Islands. This volume also has chapters on survey methods and summary statistics of domestic nonfuel minerals.Volume III, Area Reports: International, is published as four separate reports. These regional reports contain the latest available minerals data on more than 180 foreign countries and discuss the importance of minerals to the economies of these nations and the United States. Each report begins with an overview of the region’s mineral industries during the year. It continues with individual country chapters that examine the mining, refining, processing, and use of minerals in each country of the region and how each country’s mineral industry relates to U.S. industry. Most chapters include production tables and industry structure tables, information about Government policies and programs that affect the country’s mineral industry, and an outlook section.The USGS continually strives to improve the value of its publications to users. Constructive comments and suggestions by readers of the Minerals Yearbook are welcomed.
Autoencoders

In this chapter, you will learn about autoencoder neural networks and the different types of autoencoders. You will also learn how autoencoders can be used to detect anomalies and how you can implement anomaly detection using autoencoders.
QANet-based candidate answer rethink model for machine reading comprehension

The current model applied to the span extraction reading comprehension task fuses the information of context and question, and outputs the index with the highest probability calculated in the context as the prediction span. In this process, the model discards all the remaining candidate answers, which results in a waste of the available information in the candidate answers. Our model is designed to simulate the behaviour of human beings choosing multiple candidate answers and comprehensively judging the final answer in reading comprehension tasks. We propose the QANet-based candidate answer rethink model. The model interacts and fuses multiple candidate answers with context and question, prompting the model to obtain a more accurate answer by synthesising these three aspects of information. Experiments show that our model has made new progress in performance.
Modern Communication Technologies In Professional Education

Communicative technologies in professional educational institutions form the basis for the activation of the educational process, contribute to the improvement of the level of formation of competencies of graduates. The purpose of the article is the consideration the effective experience of the implementation of communication technologies in professional educational institutions to identify the main functional aspects with subsequent usage in the educational process. The paper describes the experience of formation of professional competencies with usage communication technologies to students of higher education institutions enrolled in the master's program in the direction of training 44.04.04 "Vocational training (by industry)", profile – "Management of educational systems". The authors rely on the included competence of the Federal state educational standard "the ability to use modern communication technologies", which is proposed to form through the usage of various communication technologies in the training of graduates. The authors reveal the most frequently used in the educational process types: discussion, case, project, electronic and other types of technologies. Features of application and realization of each type are allocated. Presented the criteria for assessing the performance of students’ tasks (on the complex module "Theory and methodology of vocational education") in the framework of the implementation of these technologies. The aspects identified in the process of analyzing the experience of usage communication technologies can be taken into account in the further improvement of the process of implementing communication technologies in higher education and better formation of competencies.
Evolutionary computation

tutorial Share on Evolutionary computation: a unified approach Author: Kenneth De Jong George Mason University George Mason UniversityView Profile Authors Info & Claims GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference CompanionJuly 2019 Pages 507–522https://doi.org/10.1145/3319619.3323379Published:13 July 2019Publication History 1citation183DownloadsMetricsTotal Citations1Total Downloads183Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Obstacle Avoidance during Robot Navigation in Dynamic Environment using Fuzzy Controller

A Simulink model containing fuzzy logic controller for collision-free robot navigation in a dynamic environment is presented in this paper. Two controllers, pure pursuit and fuzzy logic controller, are considered to handle robot navigation with obstacle avoidance. Ignoring the obstacles, the pure pursuit controller computes the required linear and angular velocities to direct robot from start to goal location. However, if obstacles are present in the navigation path then the robot will get collided with obstacles in the path. As a result, the robot will not reach to the provided goal location. The fuzzy logic controller is used to avoid obstacles in the navigation path. The fuzzy logic controller takes obstacle distance, obstacle angle, target direction and the x coordinate of goal location as inputs. Consequently, the fuzzy logic controller outputs the required change in angular velocity for the robot. This change in angular velocity is applied to the angular velocity provided by the pure pursuit controller. The experimental work is performed using Turtlebot Gazebo simulator. The navigation including environment, obstacles and resultant paths are also manifested.
DIGITAL CITIZENSHIP IN HIGHER EDUCATION STUDENTS

As technology has advanced, participation in the online society is common among technology users.It is very common that people use smartphones, tablets, digital watches, and computers for work, study, and personal purposes.However, researchers have recommended that students must be taught digital citizenship practices and skills since their early education.This quantitative study determined whether there were statistically significant differences between higher education students' perception of digital citizenship and their age, gender, amount of time spent online, and computational skills.Based on the results, there were significant differences found and some recommendations for faculty to reinforce digital citizenship practices in higher education students are presented.
Monarch Butterfly Optimization

Monarch butterfly optimization is inspired by the migration of monarch butterflies in nature: monarch butterflies in eastern North America migrate southward from northern United States and southern Canada to Mexico every summer/autumn. It is a new swarm intelligence metaheuristic algorithm, which is called monarch butterfly optimization (MBO). In MBO, the monarch butterfly population is ideally divided into two populations, one is located in southern Canada and northern United States (land 1), and the other is located in Mexico (land 2). We update the individuals in the population through migration and butterfly shape adjustment. To maintain the diversity of the population and minimize the fitness value, the total number of butterflies generated by the operation should be equal to the original population. In the experiment, MBO is compared with five metaheuristic algorithms through 38 test functions, especially applied to solve a large-scale 0-1 knapsack (KP) problem. Three groups of 15 large-scale 0-1 KP cases from 800 to 2000 dimensions are used to test. It is proved that MBO has strong advantages in solving global numerical optimization and engineering problems, which provides a reference for further discussion of MBO in the future.
Sentence Wise Telugu to English Translation of Vemana Sathakam using LSTM

Language translation is a power of humans where machines are lagging and need to acquire. Previous statistical machine translation is used for translation but is applicable for large and similar grammar structure dataset. In this paper neural machine translation with long short term memory (LSTM) is used for addressing the issue. This paper uses a bidirectional LSTM to translate Telugu literary poems of Yogi Vemana to English which exhibited satisfactory translation. The results are compared with existing and proposed methods. NMT with LSTM yields better in language translation.
The role of the didactic integrative module in making students aware their personal value of teaching

The basis of this research lies in psychological and pedagogical provisions on modular training, its goals, content and methods of organization. Such organization is based on the following principles: modularity, isolation of separate elements from the content of training, dynamism, efficiency and efficiency of knowledge and its system, flexibility, conscious perspective, versatility of methodological advice, parity. Hereby we describe and specify a modular system of teaching mathematics in higher education on the example of the integrative module "Derivative of a function" taking into account the specifics of teaching mathematics in higher education. The modular approach in the study of mathematics provides, on the one hand, the structuring of educational material into logically completed parts-modules, their technological equipment, and on the other-a certain organization of students 'educational activities based on the activation of their independent work, individualization of the teacher's work with the student, a differentiated approach to learning, step-by-step control of students' progress, a rating system for assessing knowledge. The empirical basis of the article is the data of a study conducted in 2020-2021 on the basis of the "South Ural State Agrarian University" (Chelyabinsk). The results of the development of the main professional educational program in the direction of training Agricultural Engineering for bachelors are presented on the example of the integrative module "Derivative of a function". Research results: 1. We considered the key approaches to the methodology of developing an integrative module, in accordance with the future professional activities of the graduates. 2. The article describes the result of the implementation of the didactic integrative module in the students ' awareness of the personal meaning of the teaching and methodological recommendations for its use. 3. On the basis of the developed control and evaluation tools we studied the dynamics of changes in the motivation of students' learning and the dynamics of the distribution of students who correctly completed control tasks according to the levels of knowledge assimilation.
Improving AI Planning using Map Reduce

Today, the Landmark concept is adapted from the classical planning to work in hierarchical task network planning. It was shown how it is used to extracts landmark literals from a given hierarchical planning domain and problem description and then use these literals to update the the planning domain by ruling out the irrelevant tasks and methods before the actual planning is performed. In this paper, we compine the landmark concept with the Map-reduce framework to increase the performance of the planning process. Our empirical evaluation shows that the combination between landmark and Map-Reduce framework dramatically improves performance of the planning process.