Reviewerly/exHarmony huggingface dataset:
Robot Path Planning Using Grasshopper Optimization Algorithm

In the world of mobile robots, figuring out the best path is a big deal. Robots use specific plans to move from one point to another. The main aim of path planning is to find safe moves for the robot in places full of obstacles. These moves create a smooth, collision-free path from where the robot starts to its target. There are many ways to solve this path problem, but they're not perfect yet. Recently, researchers have turned to smart methods, called meta-heuristic methods, to solve these problems. In our study, we tried out the particle swarm optimization algorithm (PSO) and the grasshopper optimization algorithm (GOA). Looking at the results, we found that PSO had a best cost value of 7.5558, and GOA had a best cost value of 7.5421. This shows how good the grasshopper optimization algorithm is at path planning and how effective these meta-heuristic methods can be.
Laravel and Serverless Computing

In the previous chapter, we explored the vital realm of advanced database techniques and optimization in Laravel, ensuring the efficiency and scalability of our applications’ data layer. As our journey through Laravel’'s advanced features continues, we now venture into the world of serverless computing—a paradigm that revolutionizes application development and deployment.
Security Architecture and Engineering

Security Architecture and Engineering is one of the eight domains of the CISSP Common Body of Knowledge. This domain focuses on designing, implementing, and maintaining secure systems and networks to protect an organization's information assets. This chapter will cover essential concepts and provide exam tips to help you effectively prepare for the CISSP exam. As you embark on this journey through Security Architecture and Engineering, you will uncover the principles underpinning modern information systems' security. You'll learn how to apply these principles in various contexts, from organizational security policies to the technical details of system design. By the end of this chapter, you will have a deeper understanding of how security models, system security architecture, and cryptography work together to create a robust defense against cyber threats. The following sections will delve into various aspects of security architecture, starting with the theoretical foundations provided by security models.
On backward smoothing algorithms

In the context of state-space models, skeleton-based smoothing algorithms rely on a backward sampling step, which by default, has a O(N2) complexity (where N is the number of particles). Existing improvements in the literature are unsatisfactory: a popular rejection sampling-based approach, as we shall show, might lead to badly behaved execution time; another rejection sampler with stopping lacks complexity analysis; yet another MCMC-inspired algorithm comes with no stability guarantee. We provide several results that close these gaps. In particular, we prove a novel nonasymptotic stability theorem, thus enabling smoothing with truly linear complexity and adequate theoretical justification. We propose a general framework, which unites most skeleton-based smoothing algorithms in the literature and allows to simultaneously prove their convergence and stability, both in online and offline contexts. Furthermore, we derive, as a special case of that framework, a new coupling-based smoothing algorithm applicable to models with intractable transition densities. We elaborate practical recommendations and confirm those with numerical experiments.
A Crossword Game Model Based on Weibull Distribution and Regression Analysis

In this paper, we build a model to make a reasonable prediction of some data of the game, which can help the game company to make constant adjustments to the game in its operation. For the prediction of the number of participants, we use function fitting, gray prediction (Markov chain correction) and BP neural network to predict the number of participants in the game at a specific time. The model built by the gray prediction (Markov chain correction) and BP neural network fits better. Then we introduced three difficulty influence factors for word difficulty and established a set of well-fitted evaluation criteria by linking the four influence factors with two parameters of the weibull function. Finally, we used hierarchical analysis to assign values to the difficulty influence factors, and then evaluated the words according to this assignment result
Do CSR practices improve firms' innovation capacity and performance: empirical evidence from Moroccan FDI in Sub-Saharan Africa

This paper aims to investigate the impact of corporate social responsibility practices on firm performance among Moroccan firms operating in Sub-Sahara countries. We propose and test a thorough structural model incorporating different aspects of CSR and their effect on firm performance, with innovative capacity as mediator. Based on data collected from 200 managers, the study hypotheses were assessed using structural equation modelling. Our findings suggest a significant impact of CSR practices on performance. We also demonstrate a partial mediation of innovative capacities in the nexus between CSR practices and firm performance. This study's findings extend prior literature and suggest a number of theoretical and practical implication.
The Effect of Employee Training, Organizational Commitment and Self Efficacy on Employee Performance in the Hospitality Industry

This study examined how self-efficacy, employee development, and organizational commitment affected workers' performance. The sample for this study, which incorporates quantitative research, consists of 70 permanent hotel employees. A saturated sampling approach is used in the sampling process. Techniques for gathering data include surveys, literature reviews, and supplementary secondary data. Validity tests, reliability tests, cross-tabulation tests, correlation tests, determination tests, simple linear regression, multiple linear regression, t-tests, and f-tests with SPSS 26.0 were all used in the data analysis process. The finding of this study demonstrates that organizational commitment, employee training, and self-efficacy are all factors that simultaneously affect employee performance. Employee performance is partially influenced by organizational commitment, employee training, and self-efficacy, but not by either factor alone. 0.647, or 64.7%, for the corrected R square. It is recommended for hotels to improve employee self-efficacy based on the magnitude (self-confidence) indicator. In addition to hotels having to increase employee training based on reaction indicators (participation in hotel activities) and behavior (becoming the best employee), hotels must also increase commitment based on affective indicators (paying attention).
Prospects for the development of market infrastructure under virtual tokenized assets influencing

Modern technologies have a revolutionary impact on various sectors that were traditionally considered stable and resistant to change. New advancements in digitization and artificial intelligence, collectively referred to as the “digital economy”, present the opportunity for the digitization of all sectors of the economy and social life, requiring the development of corresponding digital infrastructure. This transition leads to the creation of new types of assets, including virtual assets. However, a challenge arises in understanding the specific characteristics of these new assets and their impact on the development of market infrastructure and the overall economy. Research in this direction is vital for addressing issues related to regulation, innovation, and international cooperation in the context of the digital economy. A detailed analysis of the influence of virtual assets on contemporary economic and social realities opens the path to a deeper understanding of this transformation and its consequences.
Haptemic attraction in the textual informative code of a cognitive script (based on the material of the novels “Inferno” by D. Brown and “Black Water Lilies” by M. Bussi)

The aim of the research is to identify the universal and unique mechanisms of haptemic attraction in the textual informative code of the background terminal of cognitive scripts in literary works written in different languages. The scientific originality of the research lies in the fact that the authors substantiate the existence of two types of models of text worlds in which the components of the text informative code are located in the central-peripheral zone, create their own algorithm for the study of haptemic attraction in the textual informative code of the background terminal of a cognitive script, determine the specifics of haptemic attraction in the textual informative code. As a result, the paper shows the existence of a multifaceted model of a text world as a central-peripheral structure with proximal-temporal vectors and a simplified model of a text world as a central-peripheral structure without proximal-temporal vectors. The research reveals the existence of five types of the universal mechanisms of haptemic attraction in the informative code of background terminals of cognitive scripts in the studied novels written in different languages. The development and implementation of a new approach have supplemented the theoretical and methodological base of the theory of text worlds with two new types of models. The theory of modelling textual cognitive constructs has been supplemented with an algorithm for studying haptemic attraction in the textual informative code of the background terminal of a cognitive script. New terms have been introduced into the scientific thesaurus: “a multifaceted model of a text world”, “a simplified model of a text world”, “haptemic attraction”.
Analysis of high-dimensional distributions using pathwise methods

The goal of this note is to present an emerging method in the analysis of high-dimensional distributions, which exhibits applications to several mathematical fields, such as functional analysis, convex and discrete geometry, combinatorics, and mathematical physics. The method is based on pathwise analysis: One constructs a stochastic process, driven by Brownian motion, associated with the high-dimensional distribution in hand. Quantities of interest related to the distribution, such as covariance, entropy, and spectral gap, are then expressed via corresponding properties of the stochastic process, such as quadratic variation, making the former tractable through the analysis the latter. We focus on one particular manifestation of this approach, the Stochastic Localization process. We review several results which can be obtained using Stochastic Localization and outline the main steps towards their proofs. By doing so, we try to demonstrate some of the ideas and advantages of the pathwise approach. We focus on two types of results relevant to high-dimensional distributions: The first one has to do with dimension-free concentration bounds, manifested by functional inequalities which have no explicit dependence on the dimension. Our main focus in this respect will be on the Kannan–Lovász–Simonovits conjecture, concerning the isoperimetry of high-dimensional log-concave measures. Additionally, we discuss concentration inequalities for Ising models and expansion bounds for complex-analytic sets. The second type of results concern the decomposition of a high-dimensional measure into mixtures of measures attaining a simple structure, with applications to mean-field approximations.
Open Permissioned Blockchain Solution for Private Equity Funding Using a Global, Cross-Cloud Network Blockchain Platform

The capitalization table, commonly known as a cap table, is a comprehensive record of ownership and equity distribution within a company. It serves as a document, typically in the form of a spreadsheet or database table, that outlines all the securities or shares in a company and presents the equity capitalization of the company. However, cap tables maintained on centralized databases are susceptible to significant attacks. Corda has emerged as a blockchain platform specifically designed for business applications, prioritizing privacy and scalability. Corda operates as a private blockchain, enabling communication exclusively between involved parties in a transaction. Its primary objective is to facilitate secure and efficient value-added transactions and data sharing among businesses. As a solution, a Corda-based platform is proposed to bring together companies and investors for private equity funding. The proposed platform leverages a secure version of the cap table, referred to as a mirror table, to deliver cap table functionalities. By utilizing the blockchain technology provided by Corda, transactions become secure and tamper-proof, significantly reducing the risk of fraudulent activities and enhancing investor confidence. This innovative approach has the potential to revolutionize the crowdfunding industry by establishing a secure and transparent means for businesses to raise capital and for investors to participate in investments.
From Dewey to Digital: Unpacking the Roles of Blended and Traditional Librarians

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Teachers’ Considerations for a Digitalised Learning Context of Preschool Science

Abstract This study investigates preschool teachers’ considerations for including digital tools in science teaching to develop children’s learning of science content. Due to the ongoing digitalisation and demands in society, the utilisation of digital tools has increased significantly in educational settings. Recent research about digital tools in early childhood education focuses on various aspects of technology implementation. However, there is a research gap in which considerations underpin preschool teachers’ choices of what, why and how they integrate digital tools into science teaching. The data generation was conducted by different methods. The reflection tool Content Representations (CoRe) is used to make the preschool teachers’ considerations explicit when reflecting on planning science teaching regarding specific science content formulated as Big Ideas. Further, video stimulated recall interviews capture the preschool teachers’ considerations on their interactions with children in science activities and using digital tools. The Refined Consensus Model (RCM) of Pedagogical Content Knowledge (PCK) was employed as a theoretical framework for analysing and interpreting data around an entire teaching cycle. Some of the teachers’ considerations for including digital tools involve accessing children’s learning, making the abstract concrete and stimulating children’s engagement and learning. Further, the findings indicate that the considerations concerned knowledge about teachers’ personal PCK (pPCK) and enacted PCK (ePCK) aspects.
Pragmatic Study of Bullying in “An American Girl: Chrissa Stands Strong” Movie

This study explores the phenomenon of bullying as a prominent sociocultural element within the American film "An American Girl: Chrissa Stands Strong" serve the dual purpose of providing amusement to audiences while also conveying messages of communication, morality, culture, society, and education. In addition to that, bullying remains a widespread problem within the educational institutions. Students, especially those with special cases are constant victims of bullying. The data will be subjected to analysis based on pragmatic theories, such as speech acts and strategies of impoliteness. The questions that the paper tries to answer are: what are the types of verbal bullying and its directness, what are the types of speech acts, what are the illocutionary acts and the directness of speech acts, and what are the impoliteness strategies? This study aims to identify the types and directness of verbal bullying, investigate the types of speech acts in the selected data whether it is used directly or indirectly, identifying the illocutionary acts, and investigating the impoliteness strategies and it is sub-types in "An American Girl: Chrissa Stands Strong" movie. Working on these aims, it is hypothesized that direct verbal bullying of verbal abuse is the predominant type, all the types of speech acts are employed by bullies, the impoliteness strategies are used equally. The study's findings indicate that the predominant kind of bullying observed is direct verbal bullying, characterized by instances of verbal abuse and name-calling. The direct expressive speech acts of mocking/taunting are widely used by girls in "An American Girl: Chrissa Stands Strong" movie. Positive impoliteness strategy is the most frequent strategy.
Breaking the silence: Innovation in wake word activation

Trigger term, also referred to as a heat phrase or activation phrase, is a particular expression or wording that activates a voice-controlled system like a virtual aide when spoken. These trigger terms are widely employed in various devices, including mobile phones, intelligent domestic appliances, and automobiles. The precise identification of trigger terms is crucial to guarantee that the voice-controlled system only responds when the trigger term is uttered, disregarding other sounds. Numerous methods, such as regulation-based approaches and machine learning algorithms like support vector machines, concealed Markov models, and profound neural networks, have been proposed for identifying trigger terms. Elements like ambient noise, pronunciation variations, and accents may impact the accuracy of trigger term identification, and researchers are continuously exploring ways to enhance the resilience of these systems. As the utilization of voice-controlled systems continues to grow, the development of reliable and accurate methods for detecting trigger terms is increasingly imperative to ensure the seamless and efficient operation of these systems.
Professional learning communities in initial teacher education in Uruguay: social network analysis

This research addresses a network analysis in three teacher education centers for teachers and professors in Uruguay to determine the degree to which they function in professional communities according to four aspects: innovation initiatives, information exchange, digital inclusion, and collaboration in planning. The study is based on a previous categorization regarding the level of digital inclusion for deep learning on the basis of an online survey applied to 32 principals of public teacher education centers (high, medium, and low levels). One case was identified at each level, taking into account the geographic characteristics and the type of teacher education center. In each case, information-gathering techniques were applied: in-depth interviews, surveys for the network analysis, and focus groups. Results show that in all three cases, professional learning communities lite (as defined by Dufour &amp; Reeves, 2016). In two of the centers, those with the higher rate of digital inclusion for learning, there is a diversity in the actors who form the ties that make up the networks. Last, the innovation network is the weakest in terms of the number and variety of the ties.
Building Progressive Web Applications (PWAs) with Laravel

In the previous chapter, we explored the groundbreaking world of serverless computing and its integration with Laravel, enabling us to build highly scalable and efficient applications without the burden of server management. As our journey through Laravel's advanced features continues, we now dive into the realm of Progressive Web Applications (PWAs)—a transformative approach to crafting web applications that offer a seamless user experience across various devices and network conditions.
Dynamics and “arithmetics” of higher genus surface flows

We survey some recent advances in the study of (area-preserving) flows on surfaces, in particular on the typical dynamical, ergodic, and spectral properties of smooth area-preserving (or locally Hamiltonian) flows, as well as recent breakthroughs on linearization and rigidity questions in higher genus. We focus in particular on the Diophantine-like conditions which are required to prove such results, which can be thought of as a generalization of arithmetic conditions for flows on tori and circle diffeomorphisms. We will explain how these conditions on higher genus flows and their Poincaré sections (namely generalized interval exchange maps) can be imposed by controlling a renormalization dynamics, but are of more subtle nature than in genus one since they often exploit features which originate from the nonuniform hyperbolicity of the renormalization.
Challenges of Python Debugging in Cloud Computing

In this chapter, you will start surveying the challenges of debugging in cloud computing, AI, and machine learning. You will start with cloud computing first, the backbone of modern AI/ML.
MALL with Young Learners: Methodological and Ethical Considerations in Quasi-Experimental Research Design

The enormous developments in technology and hence the widespread use of hand-held devices in the last few decades have led to great interest in mobile-assisted language learning (MALL) as a new way of language education. MALL is considered an effective method particularly for young language learners due to their higher level of familiarity with the technology compared to their predecessors. Thus, an increasing number of mobile apps focusing on language education of children has been developed recently. It has also attracted researchers who carry out studies on MALL in terms of various perspectives such as learners’ learning processes and perspectives. However, an important aspect of MALL which is the use of portable devices and apps individually out of school settings poses possible problems in terms of carrying out quasi-experimental studies. To this end, this paper combines three major areas in Applied Linguistics, namely, MALL, quasi-experimental research design, and young language learners and focuses on salient issues which are identified as lack of control, training, convenience of MALL activities for children, and ethical issues. Based on the TPACK framework, a new framework is proposed to incorporate young learners’ characteristics in MALL studies. It is believed that the consideration of these points will be beneficial to future studies utilising quasi-experimental design in MALL with children.