Reviewerly/exHarmony huggingface dataset:
Connecting to a Database with PHP and SQL

PHP 8 offers two ways to connect to and interact with a MySQL database: MySQL Improved (MySQLi) and PHP Data Objects (PDO). Which one you choose is an important decision, because they use incompatible code. You can’t mix them in the same database connection. It’s also important not to confuse MySQLi with the original MySQL extension, which is no longer supported. In most cases, the only difference in the names of MySQLi functions is the addition of the letter i (e.g., mysqli_query() instead of mysql_query()). However, the order of arguments is usually different, so converting an old script involves more than just inserting an i into the function name.
Service Quality of an Educational Institution Office Employees: Basis For A Proposed Training Design

This study aimed to determine the Service Quality of an Educational Institution Office Employees and to propose a training design based on the findings of the study.Convenient sampling technique was used in identifying the 226 respondents.Non-experimental quantitative single-variable research design was used through SERVQUAL model.Google form questionnaires were used in collecting the data.Also, mean and ANOVA techniques were used for statistical tools.Results showed very high level of service quality of Pag-IBIG Fund office employees.Accordingly, the results on service quality such as tangibles, reliability, responsiveness, assurance, and empathy were on a very high level yet still need for further enhancement as recommended in the study.Moreover, there was significant difference in the service quality of an Educational Institution office employees when analyzed by office divisions in tangibles specifically.
Implementation of FaceNet and support vector machine in a real-time web-based timekeeping application

This paper presents in detail how to build up and implement a real-time web-based face recognition application. The system works so that images of people are recorded and compared with the references on the database. If they match, the information about their presence will be recorded. As for the system architecture, the multi-task cascaded neural network was deployed for face detection. Followingly, for the recognizing tasks, we conducted a study to compare the accuracy level of three different face recognizing methods on three different public datasets by means of both the literature review and our simulation. From the comparison, it can be drawn that the FaceNet algorithm in-used with the support vector machine (SVM) classifier performs the best among others and is the most suitable candidate for the practical deployment. Eventually, the proposed system can deliver a highly satisfactory result, proving its potentials not only for the research but also the commercial purposes.
Page Navigation

In this chapter, you will be learning how to make different types of menus for navigating to the target web site. The recipes you will be learning in this chapter are
Innovative Publication Crossmark Policy

CrossMark is a multi-publisher initiative to provide a standard way for readers to locate the current version of a piece of content. Applying the CrossMark logo to our articles maintaining the content we publish and to alerting our readers to changes if and when they occur. The innovative publication is committed to se
Scripting

As we all know, game logic doesn’t write itself. All games use programming languages of some kind to make the game work. Most game engines and frameworks use a variety of languages, such as Python, Java, and C++. In MonoGame’s case, C# is the language used to script gameplay behavior and functionality. C# is a versatile language that is compatible with multiple .NET libraries and has an easy syntax to understand, making it a go-to language for simple programming with a lot of freedom at your disposal to write your own logic.
Meta-Heuristic Algorithms for Power Efficiency in Cloud Computing

Energy efficiency in cloud data centers is a very significant issue in the increasing use of cloud technology. A lot of work has been done to address the issue. Virtual machine (VM) consolidation is the key concept around which most of the research revolves. VM placement is an NP-hard problem and very difficult to solve using deterministic algorithms. Meta-heuristic algorithms have a very important role in finding a near optimal solution for VM placement. This chapter presents a comprehensive classification of existing meta-heuristic algorithms. A comparative analysis is performed for these algorithms to provide the researcher an insight into the area.
What corpora are available?

This chapter provides a non-exhaustive overview of important existing corpora, focussing on those compiled for research in corpus linguistics proper. It begins by describing the formats corpora come in, including their general representation and potential linguistic annotations on multiple levels. It then discusses the conceptual design options for corpora, distinguishing between large-scale general or national corpora, smaller specialised corpora, comparable and translation or parallel corpora, static vs. dynamic corpora and potential sub-divisions thereof. The next section describes the historical development of corpora from the early to mid-1960s to the present. This is followed by a discussion of the different options for accessing such corpora online and offline, as well as issues of usability/suitability for different research purposes, finally rounding off with a brief look into the potential future of corpora.
Building Social And Emotional Skills in Students in the Context of Distance Learning

The paper discusses the essence of social and emotional learning, highlighting the need to develop students' soft skills in the ever-shifting world, as well as during the time of pandemic.Social and Emotional Learning is a vehicle for shaping soft skills as it focuses on the development of such capacities as self-awareness; social awareness; self-management; relationship skills; and responsible decision making.The paper presents some findings from the 2021 representative survey of teachers and school principals across Ukraine (involving 3,237 teaching staff and 420 school principals) that was aimed at determining the level of educators' acceptance and readiness to implement Social and Emotional Learning as part of the New Ukrainian School Reform.It takes stock of teachers' capacity in building the skills to proceed with the implementation of Social and Emotional Learning, in particular regarding in-service training, knowledge of methodologies for soft skills development, access to electronic resources, methodological and training materials, individual education programmes on Social and Emotional Learning, and allocation of school time for their implementation.The paper underlines the increasing role of building social and emotional skills in distance-learning settings and describes various ways in which teachers can employ digital tools to facilitate effective transition to electronic learning while taking into consideration students' learning styles and the need to build social and emotional skills.
Pattern Recognition

Pattern recognition is the action taken on raw data based on the category of pattern. It is the field of automatic discoveries of regularities in the input raw data by using statistical techniques or machine learning algorithms. These regularities are then used to take decision actions for classifying the data in different categories. When a fundamental equation does not describe the pattern, pattern recognition analyses the behaviour of the non-linear complex systems. A pattern is represented by vector feature values where features are represented by discrete, continuous, or binary variables. Pattern recognition has applications in fast-emerging areas like biometrics, bioinformatics, multimedia data analysis, machine learning, and data science, and it supports fields like computer vision, image processing, text and document analysis, and neural networks. There are two pattern recognition techniques. First is supervised, which is used for classification and regression; second is unsupervised, which is used for clustering. A few examples of pattern recognition are speech recognition, optical character recognition (OCR), multimedia document recognition (MDR), sentiment analysis, etc. Pattern recognition consists of multiple steps like data collection, data cleaning, features selection and extraction, discover regularities, group regularities in segments, analyse segments, and implement insights by examining similarities among data.
What Is User Experience (UX)?

You may have picked up this book because you are a user experience (UX) professional already and want to advance your career, or maybe you’ve just heard about UX and want to know more, or perhaps you are still in school and trying to figure out what career you should be heading toward. Regardless, it would make sense to start with a single, well-accepted definition of the term and then move on to talk about your UX career. That would make sense—but no such luck.
Creating a Dynamic Photo Gallery

The previous chapter concentrated mainly on extracting the contents of the images table as text. This chapter builds on those techniques to develop the mini photo gallery shown in Figure 14-1.
jQuery UI

In this chapter, you will learn to use different widgets that are provided with jQuery UI. You will be making following recipes in this chapter:
The Impact on Implementing Agile Methodology during Pandemic of Covid-19

The Covid-19 pandemic during 2020 and 2021 forced many companies and organizations to directly shift to remote working.The main goal of this research paper is to study the effect of the pandemic restrictions on software engineering teams who have been implementing Agile methodology already or recently adopting it in their projects after the pandemic.The survey was distributed to people who work on software engineering projects to get their feedback about how their work and production got affected by the pandemic.The survey focused on six main areas which are Agile adoption, the impact in Agile manifesto, the delivery of the project, methods and tools used, skills gained and improved, and last area was the challenges and advantages of the pandemic from participants' point of view.We noticed that many software projects during the pandemic period adopt the Agile method, whether they have been utilizing it previously or adopting it recently during the pandemic period, due to its flexibility, adaptability, resilience, and responsiveness.We also found out that software development projects implementing Agile methodology are less affected by the pandemic, based on the participants' answers related to the main value of Agile and delivery of the project.
Judge v robot or judge and cobot?

Chapter Five considers how automated forms of decision making may impact the judicial role. First, a distinction is made between forms of artificial intelligence (AI) that mimic and completely replace human judges (‘Judge AI’) and forms of AI that assist judges at varying stages of the judicial process (‘supportive Judge AI’). It is noted that supportive Judge AI has gained more support in the literature as it does not pose the same risks of usurping the judicial role that fully automated Judge AI does. At the same time, however, there is consideration of the various risks associated with the uptake of supportive Judge AI. These include, for example, issues arising from judicial ‘undertrust’ and ‘overtrust’ of such systems. However, despite the contention that exists here, this chapter acknowledges that the ultimately question is not if AI will reshape the judicial function but when. In this regard, consideration is had to the extent to which humans will be involved in judicial decision making into the future and the various factors influencing future AI uptake. There is a concluding consideration of the types of cases and areas of law where the use of supportive or standalone Judge AI may be more problematic. These include ‘hard’ or aberrant cases where there is a lack of useable court data to inform AI development.
Human Factors

Understanding how humans make mistakes in predictable ways is the first step towards making fewer mistakes. This applies to clinicians, and most especially to programmers — whose mistakes end up as bugs affecting thousands of users.
A Blockchain Secured Electronic Transaction Document Interchange Architecture (DIA): A Public Sector Analysis from Thailand

Thailand like many other nations and governments has been plagued with countless incidents of corruption and inefficiency. However, even though the primary causes of these problems remain uncertain, there are methods available today to reduce the ongoing systemic problems. One of the potential solutions lies in using secure document interchange architecture (DIA) with blockchain technology. Using a quantitative research design and cluster sampling across 20 Thai ministries and related agencies, 500 individuals eventually participated in the study. A five-level scale questionnaire was used as the research instrument. The structural equation model (SEM) was analysed to validate the consistency of the empirical data. The results of the research indicated that after adjusting the SEM by increasing the relationship between the errors, the consistency with the empirical data of the model was very good. Of the eight hypotheses examined, all were found to be positive. However, social and cultural aspects (SCA) had the greatest positive influence on strategy/policies/legal approaches (SPL) (r = 0.72*). This was closely followed by SPL’s influence on secure electronic transaction DIA (SET) (r = 0.68*), and technology (TEC) on security semantics (SEC) (r = 0.62*). However, SEC was deemed to have the least influence on secure electronic transaction DIA (SET) (r = 0.31*). Overall, there was a high level of satisfaction with the prototype system, with the architectural efficiency showing networked integrity while verifying and authenticating with the accuracy of the electronic documents. Also from the use of electronic signatures, electronic documents could be verified and authenticated as well. Networked integrity was also proven as the DIA system could validate the accuracy and authenticity of electronic documents.
Introduction

Methods and algorithms for learning decision sequences in a repetitive process can be helpful in achieving optimal results under certain constraints.
Authenticating Users with a Database

Chapter 11 showed you the principles of user authentication and sessions to password-protect parts of your web site, but the login scripts all relied on usernames and passwords stored in a CSV file. Keeping user details in a database is both more secure and more efficient. Instead of just storing a list of usernames and passwords, a database can store other details, such as first name, family name, email address, and so on. Databases also give you the option of using either hashing (one-way and irreversible) or encryption (two-way). In the first section of this chapter, we’ll examine the difference between the two. Then you’ll create registration and login scripts for both types of storage.
Application ProteGo Stop Covid - Could it have been an opportunity to prevent Covid-19 spreading?

This article has several aims. The first one, based on analysis of real-life data of the first Norwegian contact tracing app “The Smittestopp app”, is to show how digital contact tracing apps work and their function and possible impact in COVID-19-crisis. I mainly focused on apps designed to automatically tell users or/and public health officials whether somebody has potentially been exposed to COVID-19. What are the factors that could impact its reception from the public opinion? The second one is to present the result of automated contact tracing apps that are backed by national governments in selected countries. And finally, I would like to look at the social, political, economic, and psychological circumstances of launching the Polish application “ProteGo Stop Covid”. I characterize the process and conditions that occurred when the Polish government was working on it and try to answer the question if it were possible to implement this process more effectively.
Assessing and managing risks in smart computing applications

Smart computing applications have invaded our lives profoundly. As a result, these applications have become ubiquitous. Further, as we continue to fiddle with our smart device showing these smart applications, there is always an imminent danger lurking around with the growing usage of this combination. The danger lies in the form of risks associated with the exponential growth of consumption of these smart applications, devices, and Internet. However, risks are somewhat unwanted components that are likely to generate a negative impact in the future, thus impeding our work and unleashing destruction in one form or the other, if and when it occurs. Hence, it needs to be managed. In other words, it must be planned, assessed, and consequently, mitigation plans be developed to minimize the impact when it occurs. This chapter deals with the issues of risk assessment and risk management in the context of smart computing applications. The design of the chapter follows a structured approach. Commencing with the process of identification of vital assets and the risks associated with these assets, the chapter then moves to the processes responsible for assessing and managing these risks. The backbone of the chapter is based on two standard models: ISO 27001 and ISO 31000. While ISO 27001 deals with information security management, ISO 31000 deals with risk management. In today’s highly competitive and complex world, the application of knowledge has brought a significant transformation in terms of value addition, growth of the business, and the development of new products and services. This apparent shift toward knowledge engineering, knowledge management, and its application in providing a competitive edge has opened a new arena of information security and risks associated with the mismanagement of information and the consequent impact on business operations. This chapter deals with these aspects. Finally, as an appendix, the chapter covers a practical application of risk assessment and its management in smart computing applications.
An Extension of the Core Model: Modelling the Interaction of Eye-Movement Control and Parsing

This chapter presents another extension of the core model: an eye-movement control system is integrated with the parsing architecture, and this extended model is investigated using benchmark eyetracking data (the Potsdam Sentence Corpus).
How to Write PHP Scripts

This chapter offers a quick overview of how PHP works and gives you the basic rules. It’s aimed primarily at readers who have no previous experience of PHP or coding. You’ll learn about using variables and arrays, getting PHP to make decisions, and using functions for preset tasks. There’s also a section on understanding PHP error messages and an explanation of why your page might be blank. Even if you’ve worked with PHP before, check the main headings to see what this chapter contains and brush up your knowledge on any aspects that you’re a bit hazy about.
Implementasi Flex Sensor Dan Wireless Module Sebagai Alat Bantu Pasien Afasia Motorik

In the era of technology developing rapidly as it is today, of course, there are many new things being done by the health sector. As a form of convenience in the health sector. With that, the health sector utilizes and applies and develops existing technology as a tool to facilitate and support new adaptations. One of them is by implementing a motor aphasia patient communication system that utilizes the basics of hand kinematics with nurses. This study was conducted aimed at motor aphasia patients and nurses in the health sector. The system is used as a communication tool between motor aphasia patients and nurses. The tool is equipped with a sensor flex as input expenditure command aphasia patient motor by utilizing the basic kinematics of the hand which will then be sent via wireless to the hardware nurse who later dihardware nurses as the output will be sounding the command through the speakers is detected by the sensor flex
History of Integer Factorisation

In Chapter 3, History of Integer Factorisation, Samuel S. Wagstaff, Jr gives a thorough overview of the hardness of one of the cornerstones of modern public-key cryptography. The history starts with the early effort by Eratosthenes and his sieve, eventually leading to the modern number field sieve, currently the asymptotically fastest general-purpose integer factorisation method known. Also included are 'special' integer factorisation methods like the elliptic-curve method, where the run-time depends mainly on the size of the unknown prime divisor. Modern factorisation efforts often include a gradual escalation of different methods, so it is essential to be familiar with a wide range of methods and the essence of all relevant algorithms is explained clearly.
A study on the Technology Readiness Assessment of AI and IoT technologies in municipal waste management systems

In this study, we investigate and propose the introduction of AI and IoT technologies for the upgrading of waste treatment systems through technology readiness assessment (TRA). First of all, in order to understand the examples of AI and IoT technologies currently used in waste treatment facilities, we organized information such as papers and constructed a database. Each technology was categorized by the process of waste incineration, and the contents of each were evaluated using TRL (Technology Readiness Level). As a result, it was found that most of the technologies used in MSW incineration plants had a high level of maturity, while many of the technologies used in the collection and transportation processes had only reached the level of demonstration tests and were not yet in widespread use. In addition, interviews with manufacturers revealed that even if manufacturers incorporate AI and IoT technologies, it is difficult for them to gain recognition for their efforts because local governments focus on results and efficiency.
The Anatomy of Tasting

Tasting is an embodied practice – beginning with putting the sample in the mouth, achieved through specific ways of chewing it, and completed by swallowing it – which cannot be reduced to a private, neurophysiological process, but which is rather an interactional intersubjective achievement. The chapter describes the systematic ways in which the participants create a specifically relevant interactional space for the customer to begin to taste, and to focus on their tasting, while the seller suspends talking and favors an exclusive attention to tasting, albeit continuing to monitor the taster, before both participants resume mutual gaze and reengage in talking. Tasting can be performed in a diversity of ways, alone versus together, in silence versus in a guided, instructed way – but even when the taster is given the opportunity to taste individually and in silence, tasting remains an interactional achievement. Tasting is also a practice distinct from eating: the former privileges the exclusive, silent focus on the sensorial qualities of the sample, while the latter happens in the midst of the conversational engagement, enabling multiactivity and multiple engagements.