Reviewerly/exHarmony huggingface dataset:
Understanding and Perception of Automated Text Generation among the Public: Two Surveys with Representative Samples in Germany

Abstract The application of automated text generation (ATG) technology has evolved rapidly in the last several years, leading to more available content being produced by artificial intelligence (AI). With the release of ChatGPT in November 2022, a tool is now at hand that allows virtually everyone to create naturally sounding text on any topic. However, research on public beliefs about and attitudes toward ATG is lacking. Two surveys with representative samples (n1 = 1,028, n2 = 1,013) examined the German population’s concepts of and attitudes toward AI authorship in 2022 and 2023. The results revealed a preference for human authorship across a wide range of topics and a lack of knowledge concerning the function, data sources, and responsibilities of ATG. Using multiple regression analysis with k-fold cross-validation, we identified several significant predictors of the intention to read AI-written texts in the future. Despite the release of ChatGPT, we observed stability across most variables and minor differences between the two survey points regarding concepts about ATG. We discuss the findings against the backdrop of the ever-increasing availability of automated content and the need for an intensive societal debate about the chances and limitations of this technology.
Meta-iCVIs: Ensemble Validity Metrics for Concise Labeling of Correct, Under- or Over-Partitioning in Streaming Clustering

&lt;p&gt;Understanding the performance and validity of clustering algorithms is both challenging and crucial, particularly when clustering must be done online. Until recently, most validation methods have relied on batch calculation and have required considerable human expertise in their interpretation. Improving real-time performance and interpretability of cluster validation, therefore, continues to be an important theme in improving unsupervised learning. Building upon previous work on incremental cluster validity indices (iCVIs), this paper introduces the Meta-iCVI as a tool for explainable and concise labeling of partition quality in online clustering. Some iCVIs are better at detecting under-partition; others at over-partition. Combining them was hypothesized to improve cluster validation analysis. Experiments were conducted on generalized synthetic and real-world data sets to demonstrate the efficacy and application of this method.&lt;/p&gt; &lt;p&gt;Results of 100% accuracy were achieved in labeling partition quality on real-world data sets including MNIST and FLIR ADAS, demonstrating that the Meta-iCVI is a powerful and efficient tool for classifying partition quality in a variety of conditions. Its introduction should empower new and more efficient streaming clustering techniques. Additionally, we believe this to be the first implementation of an ensemble iCVI metric and the first time iCVI validation performance has been evaluated on randomized sample presentation.&lt;/p&gt;
Semiotics of trademark law and brand intellectual property

In this chapter I will review the most important aspects of intellectual property (IP) that stand out when we apply the semiotic approach to this cultural and economic reality of contemporary life. Like everything else in socio-culture, intellectual property is evolving, acquiring increasing semiotic complexity. This complexity reflects the increasing role of communication technologies, their impact on mechanisms of economic value generation, and those of intangible conspicuous consumption, in turn reflecting the communication strategies of companies. One of the greatest contributions of semiotics to intellectual property is precisely the formal modelling of these processes thanks to the application of different sign models. In the second part of the chapter, I will examine, again thanks to semiotics, some challenges of global digitalization that are coming into conflict with the very philosophy of intellectual property and copyright in the present-day legislation.
The two-sided E-Agora 2.0: demojicracy and demonjicracy

This chapter develops the idea regarding contextualized flexible meaning of emoji in our previous work and examines the two prominent uses of emoji across social platforms and the potential problems of such usage that bring to the judicial context. In this chapter, we focus on the emoji, as a social tool, being used in the context of empowering people to engage the public communication via social platforms and enhancing social cohesion as well as in the context of destabilizing the e-society with the use of emojis as a medium of harassment or implicit private communication as a kind of codemoji. The ramifications for this visual communication are socially varied and legally complex against a backdrop of contextualized nuance, camouflaged application, and changing usage.
Pengaruh Penggunaan Smartphone Terhadap Pelajaran Riset bagi Siswa Kelas Unggulan Riset MTsN 1 Banda Aceh

Research is a process that aims to carry out investigations and searches in order to obtain new facts in a branch of science so that research is the right method and concept to be applied in teaching and learning activities in madrasas. In research lessons, students are allowed to bring smartphones which will function as a tool to make it easier to find information or data needed to support research carried out by students. The aim of this research is to find out how important the use of smartphones is for class VIII students. towards research lessons. Defining student use of smartphones in research lessons. This research method was carried out by distributing questionnaires to class VIII students. This research is intended to obtain data and information regarding the influence of smartphones on research lessons for class VIII MTsN 1 Banda Aceh. The results of this test were 94% of research students using smartphones in research really helped them to add information. Keywords: smartphone, research, smartphone use
A Study of Relationship Between Writing Difficulties and Writing Process Among ESL Learners

This study aims to explore the perception of writing difficulties and the writing process among university English as a foreign language (ESL) students. The study is conducted among 171 first year ESL students from the Universiti Teknologi Mara. The survey was conducted using a self-administered questionnaire. Correlation analysis using SPSS was done to present findings to answer the research questions for this study. The findings of the current investigation provide fundamental insights that have the potential to inform more advantageous guidance for both educators and students. It would enable them to furnish their students with the essential knowledge and skills prior to their initiation into a new academic discourse community, particularly in an English-speaking nation.
Privacy-Preserving Computation:A Comprehensive Survey of Methods and Applications

This paper presents a comprehensive review of privacy-preserving computation, including its various methods, such as Trusted Environment Execution (TEE) computation, Secure Multi-Party Computation (SMPC) , Federated Learning (FL) , Differential Privacy (DP) , and Private Information Retrieval (PIR) , et. It also analyzes and compares these methods from the aspects of security, advantages/disadvantages, and risks. Additionally, this paper investigates the applications and development of privacy-preserving computation, which finally demonstrates that privacy-preserving computation has a significant contribution on data circulation and data value realization. At last, the paper analyzes the current situation and challenges of privacy- preserving computation, while pointing out the future direction of it.
Bangau Perahu: Malaysian Identity in Jewelry Design

This research was conducted to identify the potential and importance of Malaysian identity in generational ideas from a new perspective for contemporary jewelery design. The main goal is to help researchers recognize and appreciate the national identity (Bangau Perahu) so that it can be translated into more creative and innovative jewellery designs, especially contemporary brooch. The method used is the Double Diamond from the British Design Council starting in 2005. This model is seen as very appropriate to be applied in this study. This process has four main phases which are: 1) Search 2) Define, 3) Develop and 4) Deliver. Feedback is obtained through survey questions that are divided into 2 main parts: Part A: The level of evaluation criteria for design and Part B: The level of evaluation criteria for the product. The results of the design-related study found that 4 indicators were chosen as very agreeable while the criteria for the product, it was found that the average chose 3 indicators as very important. However, everyone thinks telesis is clearly present in this design. This product is suitable for commercialization but needs some improvements.
The Study On The Best Smartphones Applications For Comic Reading And Publishing During A Pandemic

The adoption and continuous advancement of technology has permeated society, changing the way people interact with technology itself and with the help of technology. Nowadays there are many modern devices are being invented to help with our daily life, including Smartphones, which are widely used around the world. In early 2020, Covid-19 was confirmed, which spread all over the world. The Covid-19 outbreak has made a huge difference in people's lives and economic effects including a lacking source of entertainment like reading a comic book for the people who are locked down during the pandemic. This has led Comic publishers or artists to have a difficult time finding an audience during the pandemic physically. Hence, these Comic publishers and retailers have to adapt to a digital platform ‘mobile publishing’ for smartphone users through a mobile applications approach since smartphone usage worldwide has increased according to the studies. Therefore, this paper will discuss the best smartphone applications for Comic artists to publish their work as a step to find an audience during the pandemic.
PECULIARITIES OF DIGITALIZATION OF EDUCATION DURING THE WAR PERIOD: TREND ANALYSIS

An analysis of Google users' search queries regarding the directions of influence of digitalization in the educational process, covering both pre-war and post-full-scale invasion periods, proved that the Russian invasion in Ukraine had an impact on these processes. It was found that according to the majority of requests from domestic users, the peak of interest is during the period of the university entrance campaign, while a significant drop occurs during the Christmas and New Year holidays. There was also a drop in the intensity of user searches for "education", "higher education" and "e-learning" among domestic users during the first month after the full-scale invasion, while an increase in search activity was recorded among foreign users during the same period.
Content-based Retrieval of Tiles and Ceramics Images based on Grouping of Images and Minimal Feature Extraction

One of the most important databases in the e-commerce is tile and ceramic database, for which no specific retrieval method has been provided so far. In this paper, a method is proposed for the content-based retrieval of digital images of tiles and ceramics databases. First, a database is created by photographing different tiles and ceramics on the market from different angles and directions, including 520 images. Then a query image and the database images are divided into nine equal sub-images and all are grouped based on their sub-images. Next, the selected color and texture features are extracted from the sub-images of the database images and query image, so, each image has a feature vector. The selected features are the minimum features that are required to reduce the amount of computations and information stored, as well as speed up the retrieval. Average precision is calculated for the similarity measure. Finally, comparing the query feature vector with the feature vectors of all database images leads to retrieval. According to the retrieving results by the proposed method, its accuracy and speed are improved by 16.55% and 23.88%, respectively, compared to the most similar methods.
Peningkatan Kemampuan Dan Kesiapsiagaan Siswa Sekolah Terhadap Mitigasi Bencana Di Jorong Padang Panjang Kecamatan Pariangan Kabupaten Tanah Datar

Nagari Pariangan is located at the foot of Mount Marapi and has several potential disasters such as volcanic eruptions, volcanic earthquakes and landslides. The research method used is qualitative research - descriptive which aims to describe, explore, or understand phenomena in depth and detail. Disaster mitigation training carried out through outreach, delivery of material on disaster mitigation, preparing evacuation routes and gathering points. Dissemination of disaster mitigation aims to increase awareness, knowledge, and community preparedness in dealing with disasters and this can be said to be successful. Disaster mitigation training with outreach, delivery of materials, and preparation of evacuation routes and assembly points is an important step in increasing community preparedness and safety in facing disasters. Seeing how disaster mitigation training activities carried out through outreach, delivering materials and preparing evacuation routes and gathering points were carried out successfully, it is hoped that a generation that is more aware, ready to face challenges, and able to contribute in protecting themselves and others in the face of disasters is formed.
Deep Transformer-based Representation for Text Chunking

Text chunking is one of the basic tasks in natural language processing. Most proposed models in recent years were employed on chunking and other sequence labeling tasks simultaneously and they were mostly based on Recurrent Neural Networks (RNN) and Conditional Random Field (CRF). In this article, we use state-of-the-art transformer-based models in combination with CRF, Long Short-Term Memory (LSTM)-CRF as well as a simple dense layer to study the impact of different pre-trained models on the overall performance in text chunking. To this aim, we evaluate BERT, RoBERTa, Funnel Transformer, XLM, XLM-RoBERTa, BART, and GPT2 as candidates of contextualized models. Our experiments exhibit that all transformer-based models except GPT2 achieved close and high scores on text chunking. Due to the unique unidirectional architecture of GPT2, it shows a relatively poor performance on text chunking in comparison to other bidirectional transformer-based architectures. Our experiments also revealed that adding a LSTM layer to transformer-based models does not significantly improve the results since LSTM does not add additional features to assist the model to achieve more information from the input compared to the deep contextualized models.
Implementasi Progam Peningkatan Pemahaman Masyarakat Nagari Pariangan Dalam Penaggulangan Bencana Dan Evakuasi Tahun 2023

There are 10 percent of Indonesian people who live around the slopes of volcanoes. One of the areas in Indonesia that has an active volcano is in the province of West Sumatra, namely Mount Marapi which is located between the districts of Tanah datar and the city of Bukittinggi. The risk of loss of life in the event of an eruption or eruption of Merapi in the future will have a high risk of loss of life if the people and tourists of Village Pariangan do not understand disaster mitigation and evacuation. in analyzing details to provide an overview of community understanding of mitigation and evacuation with a Likert scale then unification of activities to increase community understanding in terms of mitigation and evacuation such as community empowerment, infrastructure improvement, and so on with related agencies around village Pariangan. By holding regular evacuation training and simulations for the community. It is hoped that people's understanding of disaster mitigation and evacuation can increase and be better prepared in dealing with future disaster risks.
Nilai Moral dalam Kumpulan Cerpen Lelaki di Kota Gawai sebagai Bahan Ajar Pembelajaran Sastra di SMP

This research is motivated by the existence of moral values ​​contained in the collection of short stories of Men in the City of Gawai and the phenomenon of adolescent moral decline in Indonesia. The objectives of this study are (1) to describe the moral values ​​in a collection of short stories for men in the city of Gawai. (2) Produce teaching materials for learning literature in junior high schools that are developed from moral values ​​in the collection of short stories for Men in the City of Gawai. This research design uses descriptive qualitative research. The subject of this research is the moral value of a collection of short stories entitled Men in the City of Gawai by Kholis Kurnia wati et al. The data used are excerpts of sentences and paragraphs containing moral values ​​in a collection of short stories, while the source of data is obtained from a collection of short stories by Kholis Kurnia Wati et al entitled Men in the City of Gawai. Methods and techniques of data collection in this study is the method of reading with a note-taking technique. The method and analysis technique used is descriptive analysis method. The results of this research collection of short stories of Men in Gawai City contain the moral value of human relations with God, human relations with themselves, human relations with fellow humans. The moral value of a collection of short stories for Men in the City of Gawai can be formulated as teaching materials in the form of handouts of review texts for class VIII in junior high school at KD 3.11 and KD 4.11.
Rehabilitasi Bangunan Dan Saluran Irigasi Di Subak Sembung Kota Denpasar

Subak Sembung is intended to be the keeper of the green lane area and a large water catchment area. Subak Sembung has an area of 103 ha and a tertiary irrigation canal of 5.1 km. Based on the survey results at the study area conducted in July 2022, there are several damage of the buildings and irrigation canals that had an impact on the supply of irrigation water to rice fields, especially for farmers who have downstream rice fields. Irrigation canals damage causes by the uneven water distribution by farmers. The purpose of this study is to repair and improve the function of buildings and irrigation canals therefore they can facilitate irrigation water supply and be able to reach wider agricultural land. This research was conducted using survey and interview method. The results showed that there was 1 (one) building and 4 (four) irrigation channels damage that were disrupted the irrigation water supply, therefore the rehabilitation cost needed would be Rp. 746,243,500,-. The cost is planned for the next 1 (one) year period.
Aplikasi Media Pemasaran Perumahan Interaktif Berbasis Virtual Reality Tour, Augmented Reality Dan WEB Brosur

Brochures are marketing media in the form of print media that are widely used to promote products, places, services and so on. A brochure can contain information about the products to be offered such as types, pictures, specifications and prices of products sold, so that brochures are widely used by companies that have a variety of products, because they are very helpful in promoting the products offered by the company. . The Prototype method is a Software development method that allows interaction between system developers and system users, so as to overcome incompatibility between developers and users. From the results of the evaluation of communication problems that occur the authors suggest. Using an android-based Virtual Reality Tour and Augmented reality program where Virtual Reality Tours are used as a substitute medium for the model house so that buyers can explore the marketed house without having to go to the model house directly, and Augmented reality as a substitute for 3-dimensional miniatures by using Augmented reality model 3. dimensions can be shown via a smartphone and can be easily carried during marketing Input from the marketing side so that an evaluation of the interface design is carried out so that not too many menus for information and guide menus are removed and transferred to printed brochures, the display is made simpler by displaying a house background on the main menu.
Identifying and Prioritizing Systemically Important Entities: Advancing Critical Infrastructure Security and Resilience

The Cybersecurity and Infrastructure Security Agency (CISA) is resourced to support a broad national strategy of layered deterrence by identifying systemically important entities and supporting in the mitigation of risks to national critical functions. This report documents systemic risks, cyber risks in software supply chains, past and ongoing analytical support to CISA, current limitations, and also outlines a path for future work.
RLoPlanner: Combining Learning and Motion Planner for UAV Safe Navigation in Cluttered Unknown Environments

In this paper, we propose a hierarchical navigation framework named RLoPlanner that combines deep reinforcement learning algorithms and local motion planners, allowing unmanned aerial vehicles (UAVs) to perform navigation tasks safely and energy-efficiently in complex and unknown environments. This technique is critical to improve the performance of UAVs in environments without prior maps. Specifically, the framework high-level generates a stochastic policy through a deep reinforcement learning algorithm based on maximum entropy, which generates a local target based on raw sensor information. Then the low-level motion planner tracks the local goal to generate a smooth trajectory to the final target. Compared with existing end-to-end navigation methods, the proposed navigation framework generates trajectories that are smoother, more energy-efficient and more dynamically feasible. The framework also overcomes the drawback that the mapping and planning methods tend to fall into local minima. Our experiments in a simulated environment with random obstacles demonstrate that RLoPlanner outperforms state-of-the-art methods in terms of navigation success rate and kinematically compliant trajectories.
Embedding Spatial Augmented Reality in Culinary Training: A Comparative Evaluation of <i>sAR Kitchen</i> and Video Tutorials

Cooking is a multitasking and rule-based task that can benefit from augmented reality. This paper introduces <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">sAR Kitchen</i> , an AR-based cooking assistant designed to incorporate spatial augmented reality (sAR) into culinary training. We investigated the effects of instructions provided through our proposed sAR system compared to a monitor display featuring video tutorials in a task involving making playdough, which serves as a representation of a cooking task. We assessed perceived workload, usability, and performance measures (including task completion time, product quality, and cooking station messiness) through a user study involving twenty-two participants. We conducted a statistical comparison between the two methods to explore significant differences. Additionally, we analyzed open-ended questions to provide further insights based on the participants' statements. The results indicated that sAR significantly reduced the perceived workload and improved the system's usability. Furthermore, the AR instructions for training proved to be as effective as conventional methods of instruction while also addressing some of the limitations associated with standard displays and enhancing the overall user experience. This study has the potential to pave the way for more efficient learning and training methods by incorporating spatial augmented reality.