Reviewerly/exHarmony huggingface dataset:
University Liberal Arts Education to Create Creative Social Innovation Capabilities Based on Humanities Thinking

This study discussed that the university liberal arts education system, which teaches the core competencies for students in order to adapt to the rapidly changing modern society, needs to create creative social innovation capabilities based on humanities thinking. Liberal arts education systems in universities interact with various knowledge systems to enhance the identity of creative convergence knowledge between academic fields, but ultimately, such knowledge content comes from pure academic discussions based on humanities thinking. As university education strengthens applied and practical knowledge against flexibility in the labor market at this time, such a knowledge system is actually based on humanities values that help people adapt to the time of the intersection of modernity and postmodernity and seek security. The importance of trust structure in humans and society is being further enhanced through the coevolution of differentiation and dedifferentiation by flexible specialization in the time and space of modern society. In addition, university liberal arts education based on humanities thinking is structuring alternative cultural codes in order to create creative social innovation capabilities that social members must learn in the de facto final socialization process before entering society. Now, university liberal arts education should be promoted in the direction of strengthening creative social innovation capabilities based on humanities thinking that helps students take the initiative in interpreting the meaning of life and predicting and solving social problems in risk situations on a personal and interrelational level.
2 Reshaping the Future of Academic Libraries: Insights from South Africa

Academic libraries are the backbone of universities, enabling and sup­porting institutions of higher learning. The libraries fulfil the essential roles of providing information and related services and making them accessible to aca­demic communities. The current rapid technological developments of the Fourth Industrial Revolution (4IR) pose challenges for academic libraries. They must rein­vent themselves and come up with new ways of rendering services. The COVID-19 pandemic forced many universities to completely shut down or consider using 4IR tools and present their activities online. This chapter investigates the strategies that can be deployed to upgrade and reshape academic libraries’ structure and opera­tional procedures in South Africa and potentially elsewhere. It considers the degree to which the functioning of academic libraries has altered because of the combined effects of the 4IR and the COVID-19 crisis. The response of academic libraries to the radically changed circumstances is examined. A qualitative case study and content analysis were used to collect data from the library websites of the Uni­versity of KwaZulu-Natal and the University of Limpopo. The findings indicated that the situation had forced both libraries to operate in entirely new ways. The libraries have positively responded to the challenge by adapting their operations. Academic libraries must embrace the use of new technological tools to complement existing traditional approaches. A syncretic combination of traditional and online collections and operations will meet the challenges of providing access to academic library collections and services during COVID-19 and beyond.
15 Public Library Infrastructure During COVID-19 in Limpopo Province

Information services provision in rural areas of Limpopo Province in South Africa is considered poor even under normal circumstances. The COVID-19 pandemic required libraries to have proper infrastructure to continue providing information services. This chapter examines infrastructure and library and infor­mation service provision in Limpopo during the pandemic. It reports on a qualita­tive study assessing the services available in rural areas of Limpopo Province. The study used the Delphi technique. Questions were sent to experts in public librari­anship and the responses transcribed. There are few public libraries in the rural areas of Limpopo Province and the infrastructure in them is poor. The participants in the survey indicated that information service provision was put on hold from March 2020 during the pandemic. It is argued that public libraries require reli­able information and communications technology (ICT) infrastructure for users to access library and information services (LIS) remotely. The chapter concludes with recommendations for improved ICT infrastructure including use of an effec­tive library management system (LMS), the acquisition of online databases, and the creation of specialised website pages.
Integrated Photonics for Trapped Ion-Based Quantum Computing and Sensing

This talk will cover photonics integrated circuits (PICs) being developed at MIT Lincoln Laboratory for quantum applications, especially trapped-ion based quantum computers and optical clocks. We discuss optical signal routing, light collection for direct readout or remote entanglement generation, and laser and active component development.
Integrated diffractive neural networks performing optical inference

Photonics has been proposed as a paradigm shift for deep learning and, in general, machine learning, using photons instead of electrons for computation, since photonic hardware offers high-speed optical communication (speed of light in medium) and massive parallelism of optical signals (multiplexing in time, space, wavelength, polarization, orbital angular momentum, etc.) 1 . In particular, the idea of build artificial neural networks on top of an optical field propagating through free space or some medium has recently attracted a lot of attention, as it promises to pave the way for a future where optical hardware can process data and execute machine learning functionalities at the speed of light 2 .
All-Optical Activation Function Based on a Semiconductor Laser

We present an all-optical Leaky ReLU-like activation function, based on a semiconductor laser with optical injection in the vicinity of the Hopf bifurcation. The performance of a deep neural network using this optical function is comparable to the one using a standard Leaky ReLU function.
Path Tracking of a Two-Wheeled Self-Balancing Robot Based on Multi-objective Optimization with Artificial Immune Algorithm

In this paper, a multi-objective optimization-based path tracking method for a two-wheeled self-balancing robot (TWSBR) is proposed. First, the dynamics model of the system is established based on the Newton-Euler method and simulated in simulink. Then an artificial immune algorithm is used to find the optimal motion parameters for each control point based on the parameter feedback of the TWSBR, and finally a proportional-integral-derivative controller (PID) is used for control. The advantages of this study are as follows: (1) The stability of the TWSBR in high-speed working condition is improved and the efficiency of the robot is enhanced by the optimization algorithm. (2) The anti-jamming capability of the TWSBR is improved through parameter feedback. (3) The optimized PID controller is used to control the motor torque, which avoids manual adjustment of parameters and improves the control efficiency. The method can be applied to TWSBR with fixed paths such as logistics distribution and space disinfection.
PASSIVE CONSTRUCTION OF ACEHNESE LANGUAGE: X-BAR ANALYSIS

This research aims to analyze the passive construction in Acehnese Language (AL) by using X- Bar Theory which utilized the oral, written, and the data created by the researcher as the native speaker. This research was conducted in the area of Aceh Besar, Aceh Pidie, and Aceh Utara. There were 12 informants selected and the data were taken orally, and in a written manner. The data collection was conducted through recording technique and note taking technique. After collecting the data, the researcher applied introspection technique through elicitation technique. The result of this research exhibits that the passive construction in Acehnese Language is in the form of syntactical passive. There is no morphological passive form discovered in this language because there is no marker found in the verb as the passive marker morphologically. Besides that, verb in Acehnese Language is aligned with subject as the agent of an action in the active construction. In the passive construction, the verb must agree with the action which functions as the complementary. In order to determine the passive construction in this language, the constituents in the sentence must be viewed holistically. The only one passive marker that can be identified is the preposition of le ‘by’. Based on the X-Bar analysis conducted to show the passive construction in Acehnese Language it is found that specifier, complement, and adverb play important roles to construct it. Specifier is an internal structure that is required to be positioned by NP, and is combined to become I’ and form IP.
Validity of CBC Differential Count for Diagnosis of COVID-19

Abstract Background With rapid spreading of the outbreak of 2019-nCoV infection, the WHO announced a public health emergency of international concern. Among most common easily performed and inexpensive diagnostic procedures are Complete blood counts (CBC). Aim of the Work to evaluate efficacy of complete blood picture (CBC) in diagnosis and identifying cases of COVID-19. Patients and Methods A case control study was conducted on a total of 173 patients at Ain Shams University Hospitals during a period of three months since beginning of data collection. Patients were allocated into 2 groups according to COVID-19 PCR result: GROUP 1: Patients with COVID-19 Positive PCR; GROUP 2: Patients with COVID-19 Negative PCR. Results CBC differential count has significant value in diagnosing of covid-19 disease, many of COVID patients have lymphopenia and leucopenia in comparison to non COVID suspected patients. Conclusion The definitive diagnosis of COVID-19 was made by RT-PCR analysis, but this was a time-consuming and less accessible test. With this test, the time it takes to diagnose and treat patients can be delayed. In our study, low values of leukocytes, neutrophils, lymphocytes and eosinophils with a CBC test which is easily available, were found to be valuable in terms of the initial diagnosis of COVID-19.
Hand Gesture Recognition via MIMO Radar Sensors and Space-Frequency Domain Information

With the development of radar systems, hand gesture recognition of radar sensors has become easier to operate, and the resolution has increased. Nowadays, radar gesture recognition frequency employs (multiple-input and multiple-output) MIMO radar as a sensor since it has a better spatial resolution. This article proposes a hand gesture recognition based on a MIMO radar sensor, which can differentiate five gestures: swipe left, swipe right, pat, push, and pull. After receiving the data from the radar sensor, we first apply a two-dimensional Fast-Fourier Transform (2D-FFT) for a time series of range-Doppler maps. Next, we detect the moving target range, velocity, and angle values through time. Finally, the classification and regression tree (CART) algorithm is applied to a collected dataset, with targets’ time-variant characteristics as the parameters. The overall recognition rate of 94% is obtained from the proposed system using a decision-tree-based classifier. The experiment results show that this gesture-recognition system is promising in classifying multiple gestures.
SPEECH THERAPY MODEL BASED ON NEURO LINGUISTIC PROGRAMMING (NLP): OPTIMIZATION OF DEAF SPEECH ABILITY

This study aims to describe the feasibility and effectiveness of a Neuro Linguistic Programming (NLP) based speech therapy model. The speech therapy model was developed using the Borg and Gall model at Makassar State SLB through the stages of research and information gathering, planning, development of initial product forms, and preliminary field trials. Data from expert validation results were analyzed using descriptive statistics, and data on the ability to speak with the deaf was analyzed using inferential statistical tests (t-test paired samples). The results of the study indicate that the developed speech therapy model is appropriate and effective for use in speech therapy for the deaf. The feasibility speech therapy model is used because it meets the feasibility aspects, namely the feasibility of supporting theory, the feasibility of orientation and goals, the feasibility of the reaction principle, the feasibility of therapeutic procedures, the feasibility of support systems, and the feasibility of implementing therapy. Speech therapy models based on Neuro Linguistic Programming (NLP) can improve the ability of the deaf to pronounce and understand the meaning of vocabulary and reduce anxiety when speaking.
General Investigative Practice

This chapter examines investigative practice. It begins by outlining the ten phases of a criminal investigation: Crime Investigation Instigation; Call Handling and Grading; Resource(s) Dispatch; Initial Response; Crime Scene(s) Management; Further Investigation; Suspect Management; Case Management; Court; and Case Disposal. Important processes that apply to these phases are: enquiry management; actions (including initial fast track actions); investigative strategies and main lines of enquiry; information management; resourcing; health and safety and risk assessments; internal and external communication; and exhibits management. Most investigations do not merit the use of a Major Incident Room (MIR) unless it is a major or serious crime, but similar structured processes and principles can be adopted without using a Home Office Large Major Enquiry System (HOLMES). It is useful to know what these processes and procedures are as the principles can be applied to other methods of managing an investigations information flow. The chapter then looks at briefings and debriefings.
Crime Scenes, Searches, and Exhibits

This chapter focuses on the professional management of crime scenes, searches, and exhibits. A clear advantage of forensic or physical trace evidence is that it cannot be affected by faulty memory, prejudice, poor eyesight, or a witness not wishing to come forward. However, when used evidentially it must be proved beyond all reasonable doubt that the correct and necessary procedures were applied and managed rigorously. This is to prove the ‘integrity’ of these processes and avoid accusations of interference or cross-contamination. The chapter then looks at the identify, secure, and protect (ISP) principle, before considering the process of crime scene assessments, physical searches, scene administration, releasing crime scenes, and exhibit management. It also discusses the role of Crime Scene Coordinators and Managers, as well as Exhibits Officers (EOs). Finally, the chapter examines health and safety considerations.
Image Processing and Machine Learning in Air Hockey Interactive Control

In recent years, with the advancement of artificial intelligence technology, various robots have been designed and utilized in industrial, medical, caregiving, service, and entertainment sectors. This paper focuses on the development of entertainment robots and integrates artificial intelligence technology to create an interactive system that combines OpenCV image processing with Support Vector Machines. The system is applied to the air hockey game, where it predicts the player’s movement path, speed, and timing. Based on the prediction results, it controls a XY-axis motors to take the defender robot perform defensive or counterattack actions. In the measurement, the defender robot can defend a hockey puck with a maximum speed of 3.44 m/s. On average, the success rate of blocking and counterattacking for a defender robot defending a hockey puck is 90% and 86%, respectively.
A Blockchain-Enabled Approach for Secure Data Sharing in 6G-based Internet of Things Networks

The 6th generation of wireless networks (6G) promises to provide ultra-reliable, high-speed, and low-latency communication for Internet of Things (IoT) devices. However, securing data transmission and storage in these networks is a critical challenge due to potential security threats. Blockchain technology provides a solution to enhance security in IoT networks by enabling secure, decentralized, and tamper-proof data sharing. In this paper, we proposed a novel solution for securing data sharing and storage in 6G-based IoT networks using blockchain technology, hybrid encryption, and IPFS. The proposed approach consists of four algorithms that enhance the security of the system: a user authentication algorithm, a data access algorithm, a data storage algorithm, and a secure data sharing algorithm. The secure data sharing algorithm enables secure, tamper-proof data sharing among authorized devices using a permissioned blockchain. These algorithms are implemented using hybrid encryption, which ensures data confidentiality, and have been evaluated for their effectiveness in enhancing security in 6G-based IoT networks. Our work contributes to the growing body of research on blockchain-enabled solutions for securing data in IoT networks and provides insights into the potential of blockchain technology, hybrid encryption, and IPFS to enhance security in 6G-based IoT networks. The proposed approach using these algorithms provides secure and tamper-proof data sharing, making the system more secure and reliable. We presented the technical details of our approach and evaluate its effectiveness in terms of security, with a particular focus on the role of hybrid encryption and IPFS in enhancing the security and reliability of the system. Our results demonstrate that the proposed approach enhances data security in 6G-based IoT networks by providing secure and tamper-proof data sharing. The use of hybrid encryption and IPFS makes the system more secure and reliable, with hybrid encryption ensuring data confidentiality and IPFS providing decentralized and fault-tolerant storage.
$$a\mathcal {P}lon\mathcal {K}$$: Aggregated $$\mathcal {P}lon\mathcal {K}$$ from Multi-polynomial Commitment Schemes

$$\mathcal {P}lon\mathcal {K}$$ is a prominent universal and updatable zk-SNARK for general circuit satisfiability. We present $$a\mathcal {P}lon\mathcal {K}$$ , a variant of $$\mathcal {P}lon\mathcal {K}$$ that reduces the proof size and verification time when multiple statements are proven in a batch. Both the aggregated proof size and the verification complexity of $$a\mathcal {P}lon\mathcal {K}$$ are logarithmic in the number of aggregated statements. Our main building block, inspired by the techniques developed in SnarkPack (Gailly, Maller, Nitulescu, FC 2022), is a multi-polynomial commitment scheme, a new primitive that generalizes polynomial commitment schemes. Our techniques also include a mechanism for involving committed data into $$\mathcal {P}lon\mathcal {K}$$ statements very efficiently, which can be of independent interest. We implement an open-source industrial-grade library for zero-knowledge $$\mathcal {P}lon\mathcal {K}$$ proofs with support for $$a\mathcal {P}lon\mathcal {K}$$ . Our experimental results show that our techniques are suitable for real-world applications (such as blockchain rollups), achieving significant performance improvements in proof size and verification time.
Creating Customer Experience and Enhancing User Engagement in Metaverse

Driven by the proliferation of metaverse technology, many companies are pursing service expansion strategies to enhance their customer experience. However, given the rapid evolution, there is a lack of clear understanding of the current scope of the metaverse and the consequent implications for marketing practice and research. This study attempts to explain the mechanisms by which the technical factors of embedding, embodiment, and extension affect user engagement through customer experience based on situated cognition theory. We conducted qualitative research by creating a unity for research within the metaverse, gathering interviewees. The quantitative method was a survey of 305 people who had experienced the metaverse. The collected data was analyzed for causal relationships between variables using PLS-SEM. The results showed that metaverse embedding, embodiment and extension had significant effects on flow. flow influenced utilitarian and hedonic values, which in turn influenced user engagement. Also, there were differences between light and heavy users. Subsequently, we discuss how metaverseinduced changes marketing practice and to guide future academic studies and marketing initiatives.
Repetition and reduplication in Italian

The chapter surveys repetitions and reduplications in Italian, from the segmental to the discourse level. Italian has reduplicative structures in ideophones, onomatopoeic formations, child language, and baby talk; segment repetition is used as an expressive device in commercials and product names; reduplication is used as a lexeme formation device in Verb-Verb compounds such as fuggifuggi ‘stampede, lit. run away run away’, and as a means of intensification of adjectives and adverbs; some sequences of two nouns have lexicalized with adjectival or adverbial meaning; contrastive focus reduplication is also attested in Italian. Discourse markers are often reduplicated; several cases of repetition of imperatives in discourse have constructionalized, giving rise to converbs with concessive or hypothetical meanings or used as antecedents of consecutive clauses; noun reiteration in discourse can be used to indicate frequency of occurrence of entities and events. It is argued that no clear dividing line can be drawn between pragmatic or syntactic repetition and grammatical or morphological reduplication, since grammaticalization of discourse repetition in diachrony often occurs.
Advanced Data Structures: Tree Compression

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Introduction

The introduction sets out the aims and scope of the book, explaining why this is an important time to take stock of writing – a time in which digital technology is urging us to re-think how we communicate. The chapter argues for thinking about writing as the most developed form of human communication, one that has achieved enormous power and reach. The central idea of the ‘double technology of writing’ is introduced here. Writing combines: a) material technologies of production (pen and ink, keyboard and screen) with b) mnemonic technologies to store and retrieve information. The chapter concludes with an explanation of the sociomaterial approach to writing that is adopted throughout the book.