Reviewerly/exHarmony huggingface dataset:
Tourism named entity recognition method based on knowledge enhancement

Aiming at the problems of multiple meanings, long lengths, and close connections with context information in the recognition of named entities in the field of Chinese tourism, as well as the complex composition of some entities, this paper proposes knowledge-enhanced tourism naming entity recognition method. Firstly, the knowledge-enhanced ERNIE pre-trained language model is utilized to obtain the semantic representation of tourism text. Secondly, the obtained word vectors perform feature learning and feature representation of local information on the input data through Convolutional Neural Networks (CNNs). Then, the Bi-directional Long Short-Term Memory (BiLSTM) is used to fully learn the forward and backward feature information of tourism text. At last, the tag decoding layer based on Conditional Random Fields (CRFs) is employed to address tag dependencies and produce the optimal sequence of tourism named entity tags. The effectiveness of the ERNIE-CNN-BiLSTM-CRF model is confirmed by experimental results, which involve a comparison with other models using the created tourism dataset.
Quantum Walk on FRET Networks

Abstract In this section, we introduce the basics of quantum walk algorithm and its applications. Quantum walk is a natural extension of the concept of random walk in quantum way; therefore, the results obtained from the discussion are considered as the results by Quantum Computation. In principle, we can expect a certain type of the computation would be boosted. There are a variety of phenomena in Quantum walks, and much broader outcomes are often obtained than those from classical random walk. Such famous examples include quantum search algorithms and quantum simulations. In this article, we introduce a quantum simulation of QCD parton shower algorithm appearing in particle physics.
Study on photovoltaic power forecasting model based on peak sunshine hours and sunshine duration

Abstract Accurate prediction of photovoltaic power generation is a critical technical problem for utilizing solar energy. Aiming at the problem that the model parameters are difficult to obtain in applying photovoltaic power prediction methods, this paper has used long‐term monitoring data of output power, various meteorological data, and solar irradiation intensity of photovoltaic modules. This paper establishes the functional relationship between the output power of photovoltaic modules and the irradiation intensity through Pearson correlation analysis. By deducing the distribution relationship of irradiation intensity, the prediction model of irradiation intensity based on peak sunshine hours and sunshine duration is constructed and based on 340 sites across the country 64 years peak sunshine hours and sunshine duration query database. In this work, the theoretical value of the prediction model on sunny days is close to the measured value ( R 2 = 0.918–0.985). The solar radiation intensity on rainy days is weak, and the prediction accuracy is low ( R 2 = 0.838–0.930). The relative errors between the sunshine duration and the peak sunshine hours in the database are less than 4.55% and 4.79%, respectively, under sunny conditions in each quarter, indicating that the accuracy of the database meets the actual needs.
An Analysis of English Learning at Kebangsaan Pos Bersih School Malaysia

The purpose of writing this article is to analyze the main problems faced by students and teachers in learning English at the Sekolah Kebangsaan Pos Bersih elementary school in Malaysia. Assess the effectiveness of learning methods and provide recommendations for English learning strategies. This study used a descriptive qualitative methodology with data collection using interviews, moderate participant observation, documentation and literature review. Data from interviews, observations, documentation and literature reviews will be contrasted to identify consistency and differences in teacher practices in providing language learning infrastructure through comparative analysis, research findings will be strengthened and provide a more holistic picture of the problem under study. The results of the discussion are that the researcher found the problems of students in learning English at the SK Pos Bersih 1) motivation and interest 2) limited understanding of English at the beginning 3) Lack of use of English in daily life 4) lack of confidence when communicating as well as for teachers 1) emphasis on standardized tests 2) High Workload. Then the writing of designing strategic suggestions with literature reviews includes 1) encouraging active student involvement 2) Integration of Educational Technology 3) project-based learning 4) student-centered learning. Keywords: english, low school, learning quality
Developing Students’ Dialogue Journal Writing (DJW) of Recount Text at the Tenth Grade of SMK Negeri 1 Lahewa in 2022/2023

This research is motivated by a preliminary study at SMK Negeri 1 Lahewa and the results obtained that students are still lacking in writing recount texts. In addition, the use of learning media by teachers in teaching is still conventional, especially in recount text material. The purpose of the study was to determine the feasibility, practicality, effectiveness, of dialog journal writing of recount text. This research is research and development. The results of the study, the developed Dialogue Journal Writing (DJW) of Recount Text has been tested for validity by linguists with an average percentage of 83% and by media experts 91.25% with very valid criteria, to practical to be used by students with an average percentage score of 90.29% in individual trials, 84.72% in small group trials, for field practicality trials of 85.69% to effective to use with an average percentage value of 86% with very effective criteria.
Teaching presence in video virtual scenarios in higher education in Arequipa

The contribution of information technologies in the teaching of higher education has not been synchronized, considering that the accelerated technological transformations left traces followed by pedagogical adaptations, the violent outbreak of COVI19 made this distance more evident, with traditional pedagogical systems; The objective is to identify the value of the teaching presence in the virtual auditorium by identifying the motivation and trust relationships of the students.
Simple Reference Immutability for System F <sub>&lt;:</sub>

Reference immutability is a type based technique for taming mutation that has long been studied in the context of object-oriented languages, like Java. Recently, though, languages like Scala have blurred the lines between functional programming languages and object oriented programming languages. We explore how reference immutability interacts with features commonly found in these hybrid languages, in particular with higher-order functions – polymorphism – and subtyping. We construct a calculus System F&lt;:M which encodes a reference immutability system as a simple extension of System F&lt;: and prove that it satisfies the standard soundness and immutability safety properties.
Initializing Global Objects: Time and Order

Object-oriented programming has been bothered by an awkward feature for a long time: static members . Static members not only compromise the conceptual integrity of object-oriented programming, but also give rise to subtle initialization errors, such as reading non-initialized fields and deadlocks. The Scala programming language eliminated static members from the language, replacing them with global objects that present a unified object-oriented programming model. However, the problem of global object initialization remains open, and programmers still suffer from initialization errors. We propose partial ordering and initialization-time irrelevance as two fundamental principles for initializing global objects. Based on these principles, we put forward an effective static analysis to ensure safe initialization of global objects, which eliminates initialization errors at compile time. The analysis also enables static scheduling of global object initialization to avoid runtime overhead. The analysis is modular at the granularity of objects and it avoids whole-program analysis. To make the analysis explainable and tunable, we introduce the concept of regions to make context-sensitivity understandable and customizable by programmers.
TASTyTruffle: Just-in-Time Specialization of Parametric Polymorphism

Parametric polymorphism enables programmers to express algorithms independently of the types of values that they operate on. The approach used to implement parametric polymorphism can have important performance implications. One popular approach, erasure, uses a uniform representation for generic data, which entails primitive boxing and other indirections that harm performance. Erasure destroys type information that could be used by language implementations to optimize generic code. We present TASTyTruffle, an implementation for a subset of the Scala programming language. Instead of JVM bytecode, TASTyTruffle interprets Scala's TASTy intermediate representation, a typed representation wherein generic types are not erased. TASTy's precise type information empowers TASTyTruffle to implement generic code more effectively. In particular, it allows TASTyTruffle to reify types as run-time objects that can be passed around. Using reified types, TASTyTruffle supports heterogeneous box-free representations for generic values. TASTyTruffle also uses reified types to specialize generic code, producing monomorphic copies of generic code that can be easily and reliably optimized by its just-in-time (JIT) compiler. Empirically, TASTyTruffle is competitive with standard JVM implementations on a small set of benchmark programs; when generic code is used with multiple types, TASTyTruffle consistently outperforms the JVM. The precise type information in TASTy enables TASTyTruffle to find additional optimization opportunities that could not be uncovered with erased JVM bytecode.
Developing Descriptive Writing Graphic Organizers’ of the Students at the Eighth Grade of SMP Swasta Kristen Agios Nikolaus in 2022/2023

Based on the preliminary data, it was found that students in SMP Swasta Kristen Agios Nikolaus were still unable to write descriptive texts. This is because the media used by the teacher is only in the form of a table on a piece of paper and is less interesting. This research aims to develop a learning media in writing descriptive text in the form of Graphic Organizers (GOs). The method used in this research is Research and Development (R &amp; D) using the ADDIE model. There are several procedures in the ADDIE model, namely: 1) Analysis, 2) Design, 3) Development, 4) Implementation, 5) Evaluation. Based on the results of the study, it was found that the graphic organizers media were declared "very feasible" after being validated by media experts and linguists with a percentage of 93%. Graphic organizers media were also tested on students through three stages, namely individual trials with 4 students, small group trials with 10 students and field trials with 20 students and the results obtained that graphic organizers media were "very practical" used by students in writing description text with a percentage of 89%. And from the results of the student test, it was found that the average score of students as a whole was 87%. In other words, graphic organizers media is effective to improve students' ability in writing descriptive text. Based on the results of the study, it is concluded that GOs media is very valid, very practical, and effective to be used by students in SMP Swasta Kristen Agios Nikolaus, especially in writing descriptive text.
DESCRIPTION OF THE SIMPLEST NON-MARKOV PROCESS USING A DIFFERENTIAL EQUATION FOR THE QUANTUM STATE VECTOR

The Jaynes-Cummings model with one atom and a photon is considered. A photon leaks out of the cavity (optical resonator). An atom can be in an excited and ground state. Usually, the dynamics of the probability of finding a photon in a cavity is considered using the basic quantum Lindblad equation, in which the density matrix acts as an unknown function. The Lindblad equation describes a quantum Markov random process. The article attempts to replace the equation from the density matrix with an ersatz of the Lindblad equation, which is a differential equation from the state wave vector. The quantum master equation involves the use of a matrix with a dimension equal to the dimension of the state space, which increases the complexity of the calculations, since it requires a quadratically large memory. For example, for the dimension of the main space equal to a billion, the memory required to solve the basic quantum equation will be about a quintillion, which is a problem even for supercomputers. Whereas a billion-long column fits easily into the memory of a personal computer and can be easily processed on a personal laptop. The ersatz of the quantum master equation, which we are constructing, cannot accurately describe the dynamics of the density matrix and therefore cannot serve as an exact replacement for the quantum master equation. Our ersatz will describe a special process of exchange with the environment.
Implementing Synchronous Hybrid Learning: Insights from Teachers and Students’ Experiences

The global shift to hybrid learning due to the COVID-19 pandemic has resulted in a research gap regarding teacher and student experiences, especially in Latin America. To address this, this mixed-methods study focuses on two areas: 1) the impact of technology on teacher-student interactions, and 2) perceptions of hybrid classes. Drawing data from seven Ecuadorian educators and 141 students in hybrid engineering courses, quantitative analysis includes classroom location, interactions, and student satisfaction, while qualitative insights come from interviews and open-ended student responses. Students reacted positively to hybrid learning, with higher satisfaction than pre-pandemic methods, highlighting teacher dedication and flexibility. Students pointed out audio and video challenges that require attention, and teachers noted technological issues that hampered course flow, planning, and limited student interaction. Furthermore, teachers believed that such problems could hinder the adoption of more engaging and active learning strategies. The study concludes by proposing guidelines for implementing hybrid courses.
A Robust Database Watermarking Scheme That Preserves Statistical Characteristics

Database watermarking can be used for copyright verification and leakage traceability, effectively protecting the security of the database. However, the existing watermarking schemes commonly embed watermarks by modifying the original data, which changes the statistical characteristics and affects the statistical analysis of the database. Therefore, this paper proposes SCPW, a <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</b> tatistical <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">C</b> haracteristics <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">P</b> reserving robust database <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">W</b> atermarking framework. First, we perform a theoretical analysis and propose a data modification scheme maintaining the statistical characteristics unchanged. Then, we establish the correspondence between the data and the watermarks that need to be embedded in it by grouping. Finally, the watermark message is embedded into the database through data verification and modification. Specifically, for data that needs to be watermarked, we first verify whether the potential watermark bits extracted from the data are the same as bits that need to be embedded. If they are the same, we regard this original data, usually a floating point number, as a “good number” and do not modify it. Otherwise, we modify the data until it becomes a “good number” using a data modification scheme that preserves the statistical characteristics proposed by the theoretical analysis. In addition, we also use the genetic algorithm to optimize the grouping results and increase the proportion of “good number”, thereby reducing the proportion of data that needs to be modified and further reducing distortion. To our best knowledge, SCPW is the first watermarking scheme that ensures the preservation of statistical characteristics, and the experimental results also prove its excellent ability to preserve statistical characteristics compared to existing schemes. Moreover, experiments also illustrate that our method is robust against a wide range of attacks. When under deletion attack (deletion rate = 90%), the bit error rate of watermark extraction is only 0.8%, which is more than 12% lower than the current best method.
Summary

This chapter provides a summary of the whole book and presents some challenges that may hinder the real-world application of PLS techniques. Furthermore, we introduce some future directions that may be inspiring for subsequent research in this area.
Automatic Image Aesthetic Assessment for Human-designed Digital Images

Recently, with the ever-growing scale of aesthetic assessment data, researchers have the image aesthetic assessment (IAA) task. Meanwhile, as technology developing, there are more and more human-designed digital images through software like Photoshop on the Internet. However, existing datasets merely focus on the images from real world, leaving the blank of aesthetic assessment of human-designed digital images. Adding to this, numerous existing IAA datasets rely solely on the Mean Opinion Score (MOS) for calculating aesthetic scores. Nonetheless, we contend that scores from individuals with diverse expertise should be treated distinctively, as differing fields of knowledge likely yield disparate opinions regarding the same image. To address these challenges, we construct the first Human-Designed Digital (HDDI) dataset for IAA tasks. And we develop a multi-angle method to generate aesthetic scores. Furthermore, we present the TAHF model as a novel baseline for our newly curated dataset. Empirical validation demonstrates the superior performance of our TAHF model over the current state-of-the-art (SOTA) model on the HDDI dataset.
Resource Scheduling Strategies for Cloud Editors for Low-Code Development

Software ecosystems are accelerating the vertical division of labour and horizontal integration in the software industry, attracting widespread attention from industry and academia. The low-code development cloud editor oriented in this paper is a generalisation of building software ecosystems, which reduces the technical threshold of developers in the ecosystem and improves the development efficiency by supplementing the interfaces and services and customising the cloud editor platform to support core technologies such as multi-language, sharing, service publishing, and low-code. In this context, this paper focuses on the editor resource scheduling strategy for cloud editor: 1) for low-code programming, a collaborative service planning method is proposed to start containers running synchronously on demand in units of service components, avoiding the start of temporary unnecessary service startups and improving the resource utilisation rate; 2) designing a threetier platform service framework that supports on-demand running of component code, and formulating a related service strategy that Improve the efficiency of component execution; 3) For three different scenarios, a resource scheduling method based on greedy algorithm is proposed to reasonably utilise resources; 4) Experiments verify the effect of the algorithmic strategy in this paper in terms of resource scheduling efficiency, quality and stability. The work in this paper is used in project development practice to support low-code development software ecosystem.
Beyond mapping: extend the role of cartographers to user interface designers in the Metaverse using virtual reality, augmented reality, and mixed reality

Dr. Buttenfield led the user evaluation and user interface design/improvement tasks in the Alexandra Digital Library (ADL) Project from 1994 to 1998 funded by the National Science Foundation in the U.S. Her research efforts in the ADL extended the role of cartographers from traditional map designers to web-based user interface and user experiences (UI/UX) designers. This paper will highlight key concepts and design principles (including user center design (UCD), usability testing, and user interface evaluation) in the ADL project and re-investigate these pioneering research topics in cartography with recent development of the Metaverse and human-computer interaction (HCI) using Extended Reality (XR), including Virtual Reality, (VR), Augmented Reality (AR), and Mixed Reality (MR). The new role of cartographers today includes user interface designers and usability evaluators using XR-enabled mapping tools and technologies. This paper will discuss cartographic research challenges and opportunities in the era of the Metaverse and highlight some software issues for cartographers to develop 3D or 4D web GIS applications.
Innovative Educational Technologies: European Experience and its Implementation in the Training of Specialists in the Context of War and Global Challenges of the 21st Century

The objective of this article is to dissect the European encounter with pioneering educational technologies in the face of the 21st century's global challenges. The methodologies employed encompass theoretical content analysis and empirical survey techniques. The outcomes underscore the core of the innovation concept in education, along with the theoretical underpinnings guiding the integration of innovations within European pedagogical frameworks. Drawing from empirical measurements, several assertions are substantiated. Notably, the significance of the learning environment emerges, alongside educators' general inclination toward embracing innovative educational approaches in contrast to traditional teaching methods. Worth highlighting is the European Union's provision of specialized programs aimed at honing proficiency in working with groundbreaking technologies via internships. In Germany, the "Promotion an Hochschulen in Deutschland" initiative is exclusively tailored to train research and instructional personnel for the country's higher education establishments. France's Sorbonne University offers dedicated courses to augment digital prowess. Correspondingly, in England, the Centre of Excellence for Teaching and Learning is dedicated to fostering the professional advancement of aspiring educators, guaranteeing their possession of pertinent proficiencies. These mobile internships for European educators have evolved into a standard practice for nurturing digital literacy. Participation in such endeavors is characteristic of contemporary European educational hubs, further propelling educators' preparedness and growth within the digital epoch. The conclusions underscore the assorted array of innovations employed by instructors, encompassing platforms, interactive whiteboards, mobile applications, and cloud services.