Reviewerly/exHarmony huggingface dataset:
Cognitive Action Theory: An Overview

Incorporating a conscious 1st person observer in scientific theories has been hampered by the lack of physically viable mind/body models. I will present a Cognitive Action Theory (Baer 2020) model of an integrated mind/body system and identify the process of creating conscious experience as the basic building block of reality. This building block is a cyclic process in time, connecting the first person experience with its 3d person physical models so that conscious phenomena are possible. To allow the construction of such a basic building block we propose a fundamental shift to consider what we do to be conscious as an a-priory activity that must be happening for us to be able to ask the question, “How can conscious beings exist in our physical world?”&nbsp; This shift means first asking, “How does the memory of a physical world exist in a conscious being”? The answer to this question leads to Conscious Action Theory (CAT) and the physical formulation of a conscious being as a self contained action cycle with the mental and physical phases. This activity contains both qualia and its explanation to produce what physicist Archibald Wheeler [1,2] described as a self measuring explanatory cycle. At this level of abstraction such a cycle of activity can accommodate any belief system defining physical reality as an explanation for personal experience and therefore provide a framework which accommodates both scientific and spiritual traditions. Visualizing such an abstract activity as the motion of masses and charges allows us to couple what we do to the formalism of classic and quantum physics. Such a theory integrates the subjective and objective aspect of our experience in a single physical framework, reducing to the linear quantum formalism when the motions involved are small enough to be reversible [3,4].
Communicating uncertain beliefs with conditionals: Probabilistic modeling and experimental data

Author(s): Grusdt, Britta; Franke, Michael | Abstract: Conditionals like 'If A, then C' can be used, among others, to convey important knowledge about rules, dependencies and causal relationships. Much work has been devoted to the interpretation of conditional sentences, but much less is known about when speakers choose to use a conditional over another type of utterance in communication. To fill this gap, we consider a recently proposed computational model from probabilistic pragmatics, adapted for modeling the use of conditionals in natural language, by comparing its predictions to experimental production data from a behavioral experiment. In a novel experimental approach, we manipulate relevant causal beliefs that might influence whether utterances with conditional structure are preferred over utterances without conditional structure. This is a step towards a systematic, quantitative investigation of the situations that do or do not elicit the natural use of conditionals.
Are the Players in an Interactive Belief Model Meta-certain of the Model Itself?

In an interactive belief model, are players meta-certain of model itself? This paper formalizes such implicit meta-certainty assumption. To that end, paper expands objects of players' beliefs from events to functions defined on underlying states. Then, paper defines player's belief-generating map: it associates, with each state, whether player believes each event at that state. The paper formalizes what it means by: a player is (meta-)certain of her own belief-generating or the players are (meta-)certain of profile of belief-generating maps (i.e., model). The paper shows: player is (meta-)certain of her own belief-generating map if and only if her beliefs are introspective. The players are commonly (meta-)certain of model if and only if, for any event which some player i believes at some state, it is common belief at state that player i believes event. This paper then asks whether meta-certainty assumption is needed for an epistemic characterization of game-theoretic solution concepts. The paper shows: if each player is logical and (meta-)certain of her own strategy and belief-generating map, then each player correctly believes her own rationality. Consequently, common belief in rationality alone leads to actions that survive iterated elimination of strictly dominated actions.
Multi-radar collaborative networking method based on T-GCN

Abstract Multi-radar collaborative networking is the development direction and research hotspot of radar detection technology. In recent years, with the rise of artificial intelligence, researchers have introduced neural networks and other artificial intelligence methods into multi-radar collaborative networking and achieved remarkable results. In this work, we abstract the radar network as an un-weighted graph, and then introduce the GCN, and combine the characteristics of the GRU with the temporal context, apply the Temporal Graph Convolutional Network to multi-radar collaborative network. We solve the problem of low efficiency and slow speed of radar network without data fusion.
ENTREPRENEURIAL FINANCING AND NIGERIAN ECONOMIC GROWTH: AN EMPIRICAL ANALYSIS:

The crucial problem identified with entrepreneurship financing in Nigeria is the low level of financingof the entrepreneurial ventures in the nation which has hampered the level at which the entrepreneurshave contributed towards the nation's employment and GDP rate, which is relatively low. The mainobjective of the study is to examine the impact of entrepreneurial financing on GDP in Nigeria for aperiod of 1998-2018. and the specific objectives is to examine the impact of Micro finance bank credit,Deposit money banks loan and advances to SMEs on GDP in Nigeria and also to examine the impactof Small and medium scale enterprise access to credit facilities on GDP in Nigeria. Secondary dataoriginated from the Central Bank of Nigeria statistical bulletin 2018 while the linear regressionequation model was used to analyze the data. The outcome of the results shows that there is 0.514(51.4%) positive relationship between the dependent variable (Gross domestic product) andindependent variable (Entrepreneurial financing) as seen in the “R” column while the adjusted “Rsquare”column indicates that 0.264 (26.4%) of the independent variables explains better thedependent variable while 73.6% remaining represent the independent variables that are not discussedexplains the dependent variable. The study therefore recommended that, government and relevantmonetary institutions should create policies and also foster the activities of the Micro finance banksand enlarge the purse of deposit money banks towards the funding of entrepreneurial activities.
Children’s Reality Understanding of Magic Show in the Video

The purpose of the present study was to explore children’s understanding of whether a magic show that they saw in a video depicted reality. Moreover, the research aimed to explore the difference between 5-year-old children and adults in judging the reality of the magic show. The results showed that the children’s understanding of the reality of the magic show was similar to that of adults, but there was a significant difference in the justifications given by the children and the adults for their levels of belief. The children mainly used redundant justifications, while the adults provided factual justifications. More research could further explore the neuro mechanism underlying children’s understanding of reality. This is of great value to deal with the issue of safety when children interact with the media.
Research Guides: MLA 9th: Articles

This Research Guide lists examples of how to cite sources according to the MLA Handbook, 9th edition.
Empirical Analysis of Supervised Machine Learning Techniques for Expert Mining in CQA System

In the last decade, web has become one of the prominent means of proffering and sharing information. More recently, Web 2.0 technology changed the manner in which we interact with the internet. Web 2.0 services emphasizes on online-collaboration, interaction and sharing of the information and knowledge. Some of the web services provided by Web 2.0 are social networking, Question-answering sites, Internet telephony, video sharing sites and instant messaging. Question Answering websites play an indispensable role in providing valuable information and knowledge to the users. But determining the significance and worthiness of the provided information is crucial. To access and analyze it, the information should be provided by an expert. But finding an expert is a challenge. So in this paper, we are determining experts in the stack overflow dataset.
RANCANG BANGUN KOTAK PENYIMPANAN UANG DENGAN VOICE RECOGNITION BERBASIS MIKROKONTROLER

Voice Recognition for Money Deposit Boxes is a tool that is implemented to be used as a means of activating / unlocking Money Deposit Boxes by voice, with the growing era, many technologies are developing, including security for money storage devices (Safe), The money deposit box is a tool related to the security of money depositors that uses a Voice Recognition security system, to unlock the door of the Money Deposit Box with the Vocie Recognition sensor module, to detect the owner's voice. The components used to design this tool require several kinds of main devices used such as Arduino Uno as a command signal distribution tool, Voice recognition as a module that stores the input voice (Input), servo which acts as a locking device, and breadboard used to connect devices. designed, in this study it is very mandatory to have Arduino IDE software in order to be able to fill in the code or so-called commands to the microcontroller located on the Arduino Uno board, based on the tool presented is a method to unlock the money deposit box by identifying the voice of the owner
ICT in the study of foreign languages by students of technical specialties

The purpose of this article is to find out the influence of ICT on educational achievements of students of technical specialties in studying foreign languages on the example of the National Technical University of Ukraine "Kyiv Polytechnic Institute named after Sikorsky", National Polytechnic University of Ukraine "Lviv Polytechnics", National Technical University of Ukraine "Kharkiv Polytechnic Institute", Gdańsk University of Technology, Warsaw University of Technology and University of Wrocław. Methods: abstracting, theoretical analysis, synthesis, induction, deduction, observation, measurement, comparison, questionnaire description and generalization. It was found that ICT significantly influence on learning achievements of technical students in foreign languages. For foreign language skills, 95% of Ukrainian students and 98% of Polish students reported using ICTs such as electronic guides and dictionaries, multimedia technologies, project work on the Internet, electronic mail, social networks, blogs, online resources for communication and mobile applications.
Research Guides: Streaming Video Guide: Start Here

This guide was created to provide information about streaming videos here at the Marquette University Raynor Memorial Libraries
The effect of enterprise resource planning on the organizational performance of organizations through HRM practices An Applied Study on the Reinforcing Steel Sector Companies in Egypt

This research aims to study the impact of Enterprise Resource Planning (ERP) (information quality, system quality and system use) and human resource management (HRM) practices (training and development, information exchange, recruitment and testing, compensation and benefits, safety and health and employee relations) on organizational performance. Through the Balanced scorecard (financial performance, customer performance, supplier performance and employee performance) in the rebar sector companies within the Arab Republic of Egypt. Therefore, the researcher used the positivism philosophy in this study and the deductive approach because they are more compatible with the nature of the research and with what the researcher wants to reach. He also followed a quantitative method in collecting data, as he prepared a questionnaire and distributed it to 260 individuals working in the reinforcing steel sector. The data is analyzed using some statistical methods such as: correlation, and the structural equation model. The results fully accept the study hypotheses that there is a statistically significant relationship between ERP and organizational performance through the balanced scorecard. In addition to, relationship between ERP and HRM practices, moreover, relationship between HRM practices and organizational performance through the balanced scorecard. While it partially accepts that here is a statistically significant role for HRM practices, in the relationship between ERP and organizational performance through the Balanced Scorecard.
A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection

&lt;div&gt;Phishing attack is a well-known cyber security attack that happens to many people around the world. The increasing and never-ending case of phishing attack has led to more automated approaches in detecting phishing attack. One of the methods is applying fuzzy system. Fuzzy system is a rule-based system that utilize fuzzy sets and fuzzy logic concept to solve problems. However, it is hard to achieve optimal solution when applied to complex problem where the process of identify the fuzzy parameter becomes more complicated. To cater this issue, an optimization method is needed to identify the parameter of fuzzy automatically. The optimization method derives from the metaheuristic algorithm. Therefore, the aim of this study is to make a comparative analysis between the metaheuristic algorithms in fuzzy modelling. The study was conducted to analyse which algorithm performed better when applied in two datasets: website phishing dataset (WPD) and phishing websites dataset (PWD). Then the results were obtained to show the performance of every metaheuristic algorithm in terms of convergence speed and four metrics including accuracy, recall, precision, and f-measure. &lt;/div&gt;
Информационная модель психики и интертипные отношения

There are described the causal relationships in the information model of the psyche and features of intertype relations.
Exact Learning of Sequences from Queries and Trackers

Author(s): Ascensao Ferreira Matias, Pedro | Advisor(s): Goodrich, Michael T. | Abstract: Exact learning aims at unambiguously determining an unknown concept from answers to a carefully crafted set of questions, where each answer, given by an all-knowing oracle, reveals structural properties of the concept being learned. We consider Exact learning of sequences, i.e. collections of objects with an intrinsic total order. In this setting, we introduce a new kind of oracle, whose answers depend on an augmented version of the problem's input, devised strategically in advance by the learner, to enable efficient learning of the unknown concept. In particular, we study the problem of reconstructing the path traversed from s to t in the known input graph, by placing trackers on a subset T of the vertices, whose intersection with any s-t path results in a unique sequence, thus enabling exact reconstruction. This problem has applications to animal migration tracking and securing of large infrastructures.Since minimizing |T| is NP-complete, we devise approximation and FPT algorithms. We also study the problem of learning an unknown string over a known fixed alphabet. We consider classic oracle queries which have been shown to yield linear query complexity lower bounds, and exploit string periodicity to obtain algorithms with sublinear query complexities. We also study the problem of reconstructing a periodic string that has been corrupted by a small number of errors (e.g. due to noisy transmission channels). Finally, we study lower and upper bounds for learning a general string using jumbled-index queries.
The French Constitutional Council declares article L.462-2 of the French Commercial Code on fines for obstruction of an antitrust investigation to be unconstitutional (Akka Technologies)

On 26 March 2021, the French Constitutional Council declared unconstitutional Article L.462-2 of the French Commercial Code (FCC) on obstruction to an investigation of the FCA. Pursuant to this…
The making of a cyber crash: a conceptual model for systemic risk in the financial sector

In October 2017, the European Systemic Risk Board (ESRB) set up a group whose objective was to examine cyber security vulnerabilities within the financial sector, and their potential impact on financial stability and the real economy. In its first year, the European Systemic Cyber Group (ESCG) sought to develop a shared understanding of Common Individual Vulnerabilities (CIVs) across ESRB members, and to identify the unique characteristics of cyber risk that could contribute to a systemic event. Building on this work, this paper describes a conceptual model for systemic cyber risk. JEL Classification: E17, G01, G20, K24, L86, M15, O33
Effective Error Correction and Language Improvement in Business Communication Teaching

Considering the impact of ESP studies at all academic levels, as well as my belief that language learning is beyond a simple process input and intake of linguistic information, I centered my present approach on effective forms of error correction in communication and on developing language improvement, as well as improving social skills, as featured by my business communication teaching experience. The spoken dimension of language and the communicational competence, although of extreme importance in contemporary world, seem to have enjoyed less attention from theorists. In the present article I stress the importance of offering our students a tailored form of teaching, which would enable them to play an active role and to acquire a real understanding of error correction in order to offer them the possibility to continue studying on their own and to support their independent learning ability.
MORPHOLOGICAL ANALYSER FOR MALAYALAM LANGUAGE USING FINITE AUTOMATA

Natural language processing (NLP) is an important field of Computational Linguistics and Artificial Intelligence. It deals with analyzing and understanding the languages that people generally use. Morphological Analyzer is an important part of Natural Language Processing. It is essential for question-answering, information retrieval, machine translation and spell checking, speech recognition etc. This paper proposed the implementation of a morphological analyzer for Malayalam Language using Finite Automata. The system returns the morpheme and its associated grammatical structure of Malayalam documents.
LibGuides: Library Services Platform (LSP): Historical LSP Project Migration Archive (2017-2020)

Website for the systemwide Library Services Platform Repository of the Confluence (wiki) documentation
Recognition of Images Formed in Pho on the Eyes of different Subjects

With each passing day resolutions of still image/video cameras are on the rise. This amelioration in resolutions has the potential to extract useful information on the view opposite the photographed subjects from their reflecting parts. Especially important is the idea to capture images formed on the eyes of photographed people and animals. The motivation behind this research is to explore the forensic importance of the images/videos to especially analyze the reflections of the background of the camera. This analysis may include extraction/ detection/recognition of the objects in front of the subjects but on the back of the camera. In the national context such videos/photographs are not rare and, specifically speaking, an abductee’s video footage at a good resolution may give some important clues to the identity of the person who kidnapped him/her. Our aim would be to extract visual information formed in human eyes from still images as well as from video clips. After extraction, our next task would be to recognize the extracted visual information. Initially our experiments would be limited on characters’ extraction and recognition, including characters of different styles and font sizes (computerized) as well as hand written. Although varieties of Optical Character Recognition (OCR) tools are available for characters’ extraction and recognition but, the problem is that they only provide results for clear images (zoomed).
Contextual Flexibility Guides Communication in a Cooperative Language Game

Author(s): Ashok Kumar, Abhilasha; Garg, Ketika; Hawkins, Robert | Abstract: Context-sensitive communication not only requires speakers to choose relevant utterances from alternatives, but also to retrieve and evaluate the relevant utterances from memory in the first place. In this work, we compared different proposals about how underlying semantic representations work together with higher-level selection processes to enable individuals to flexibly utilize context to guide their language use. We examined speaker and guesser performance in a two-player iterative language game based on Codenames, which asks speakers to choose a single `clue' word that allows their partner to select a pair of target words from a context of distractors. The descriptive analyses indicated that speakers were sensitive to the shared semantic neighborhood of the target word pair and were able to use guesser feedback to shift their clues closer to the unguessed word. We also formulated a series of computational models combining different semantic representations with different selection processes. Model comparisons suggested that a model which integrated contextualized lexical representations based on association networks with a contextualized model of pragmatic reasoning was better able to predict behavior in the game compared to models that lacked context at either the representational or process level. Our findings suggest that flexibility in communication is driven by context-sensitivity at at the level of both representations and processes.
Geodiversity assessment with Crowdsourced Data and Spatial Multicriteria Analysis

&amp;lt;p&amp;gt;The main objective of virtual PICO is to present an approach to geodiversity assessment based on spatial multicriteria analysis (MCE) with Crowdsourced Data. Geodiversity assessment usually involves an individual expert or a group of experts who assess the value of geodiversity factors to the overall geodiversity score for a study area. The biggest objection to methods used so far is subjectivism. Responding to these objections, a crowdsourcing approach that uses an online geo-questionnaire linked with an interactive map was used.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The assessment input data comprised of seven environmental factor ratings and weights were obtained from 57 Earth science researchers worldwide. These data served as the bases for a joint &amp;amp;#160;assessment of geodiversity. To provide more comprehensive assessment approach for aggregating factor ratings and weights to compute an overall measure of geodiversity the weighted linear combination (WLC) method and its local version L-WLC were used. Karkonosze National Park (KNP) located in south-western Poland in the border area between Poland and the Czech Republic was chosen as a research area. Karkonosze is the highest mountain range of the Sudetes, characterised by unique geological and geomorphological values. The geodiversity of the research area was valued with regards to the reliability of assessment evaluated by means of spatially explicit uncertainty analysis. Average (AVG) and standard deviation (STD) geodiversity maps (on the basis of 57 respondent data) were computed. As a result of their cross-tabulation, a bivariate maps with average geodiversity values (AVG: low, high) and standard deviation values (STD: low, high) were created. Two such maps, one for WLC results and another for L-WLC results, were compiled and evaluated, providing a more holistic visages of final geodiversity and its uncertainty. Given that L-WLC provides a realistic assessment of geodiversity and guided by its results, the areas of &amp;amp;#160;high geodiversity and low uncertainty have been identified within Karkonosze range.&amp;lt;/p&amp;gt;