Reviewerly/exHarmony huggingface dataset:
Non-uniform Sampling Strategies for NeRF on 360{\textdegree} images

In recent years, the performance of novel view synthesis using perspective images has dramatically improved with the advent of neural radiance fields (NeRF). This study proposes two novel techniques that effectively build NeRF for 360{\textdegree} omnidirectional images. Due to the characteristics of a 360{\textdegree} image of ERP format that has spatial distortion in their high latitude regions and a 360{\textdegree} wide viewing angle, NeRF's general ray sampling strategy is ineffective. Hence, the view synthesis accuracy of NeRF is limited and learning is not efficient. We propose two non-uniform ray sampling schemes for NeRF to suit 360{\textdegree} images - distortion-aware ray sampling and content-aware ray sampling. We created an evaluation dataset Synth360 using Replica and SceneCity models of indoor and outdoor scenes, respectively. In experiments, we show that our proposal successfully builds 360{\textdegree} image NeRF in terms of both accuracy and efficiency. The proposal is widely applicable to advanced variants of NeRF. DietNeRF, AugNeRF, and NeRF++ combined with the proposed techniques further improve the performance. Moreover, we show that our proposed method enhances the quality of real-world scenes in 360{\textdegree} images. Synth360: https://drive.google.com/drive/folders/1suL9B7DO2no21ggiIHkH3JF3OecasQLb.
Experimentally feasible and efficient identification of non-Markovian quantum dynamics based on completely-positive divisibility

A Markovian quantum process can be arbitrarily divided into two or more legitimate completely-positive (CP) subprocesses. When at least one non-CP process exists among the divided processes, the dynamics is considered non-Markovian. However, how to utilize minimum experimental efforts, without examining all process input states and using entanglement resources, to identify or measure non-Markovianity is still being determined. Herein, we propose a method to quantify non-CP processes for identifying and measuring non-Markovianity without the burden of state optimization and entanglement. This relies on the non-CP processes as new quantum process capabilities and can be systematically implemented by quantum process tomography. We additionally provide an approach for witnessing non-Markovianity by analyzing at least four system states without process tomography. We faithfully demonstrate that our method can be explicitly implemented using all-optical setups and applied to identify the non-Markovianity of single-photon and two-photon dynamics in birefringent crystals. Our results can also be used to explore non-Markovianity in other dynamical systems where process or state tomography is implementable.
Persona-Based Conversational AI: State of the Art and Challenges

Conversational AI has become an increasingly prominent and practical application of machine learning. However, existing conversational AI techniques still suffer from various limitations. One such limitation is a lack of well-developed methods for incorporating auxiliary information that could help a model understand conversational context better. In this paper, we explore how persona-based information could help improve the quality of response generation in conversations. First, we provide a literature review focusing on the current state-of-the-art methods that utilize persona information. We evaluate two strong baseline methods, the Ranking Profile Memory Network and the Poly-Encoder, on the NeurIPS ConvAI2 benchmark dataset. Our analysis elucidates the importance of incorporating persona information into conversational systems. Additionally, our study highlights several limitations with current state-of-the-art methods and outlines challenges and future research directions for advancing personalized conversational AI technology.
Investigating students' strengths and difficulties in quantum computing

Quantum Computing is an exciting field that draws from information theory, computer science, mathematics, and quantum physics to process information in fundamentally new ways. There is an ongoing race to develop practical quantum computers and increase the quantum workforce. This needs to be accompanied by the development of quantum computing programs, courses, and curricula coupled with the development of evidence-based pedagogical materials to support the education of the next generation of quantum information scientists. We introduced an introductory course in quantum computing to undergraduate students and investigated the strengths and difficulties of these students in quantum computing after taking the introductory course. Our goal is to contribute to the improvement of quantum computing education while understanding the topics that the students find easy to comprehend and the topics that are difficult to comprehend. We conducted a series of interviews to identify these strengths and difficulties in the students. We report on the results of these interviews and our initial work on the development of evidence-based materials for teaching an introductory course in quantum computing.
Modelling Correlated Bernoulli Data Part II: Inference

Binary data are highly common in many applications, however it is usually modelled with the assumption that the data are independently and identically distributed. This is typically not the case in many real-world examples and such the probability of a success can be dependent on the outcome successes of past events. The de Bruijn process (DBP) was introduced in Kimpton et al. [2022]. This is a correlated Bernoulli process which can be used to model binary data with known correlation. The correlation structures are included through the use of de Bruijn graphs, giving an extension to Markov chains. Given the DBP and an observed sequence of binary data, we present a method of inference using Bayes' factors. Results are applied to the Oxford and Cambridge annual boat race.
Blockchain-based Payment Systems: A Bibliometric &amp; Network Analysis

Blockchain is a shared, immutable ledger that has attracted the attention of researchers and practitioners across innumerable sectors, with its implications for modernizing payment systems having the possibility of inciting a digital revolution. In the scope of this study, 1,511 publications were obtained from Scopus to conduct a systematic review of the research space through bibliometric and network analyses. The main aim of this study was to determine key authors, significant studies, and collaboration patterns, to reveal the distributions and impacts of publications in the blockchain-based payments area between 2019 and 2022. The results indicate that the Khalifa University of Science and Technology is the most influential journal, while the most cited author is Salah, K. Additionally, the National Natural Science Foundation of China has sponsored most academic documents, with the US emerging as the most impactful country. This study has also found that blockchain-based payments literature congregated in 5 disciplines. These areas are computer science, engineering, decision science, mathematics, and business. A co-authorship analysis also networks relations between nations, authors, and organizations globally, creating unique clusters that maximize research productivity. In summary, this study designs an analytical map of the research landscape, which can guide future research.
Generalized Lorenz dominance orders

We extend the discrete majorization theory by working with non-normalized Lorenz curves. Then we prove two generalizations of the Muirhead theorem. These not only use elementary transfers but also local increases. Together these operations are described as elementary impact increases. The first generalization shows that if an array X is dominated, in the generalized sense, by an array Y then Y can be derived from X by a finite number of elementary impact increases and this in such a way that each step transforms an array into a new one which is strictly larger in the generalized majorization sense. The other one shows that if the dominating array, Y, is ordered decreasingly then elementary impact increases starting from the dominated array, X, lead to the dominating one. Here each step transforms an array to a new one for which the decreasingly ordered version dominates the previous one and is dominated by Y.
Partial Disentanglement with Partially-Federated GANs (PaDPaF)

Federated learning has become a popular machine learning paradigm with many potential real-life applications, including recommendation systems, the Internet of Things (IoT), healthcare, and self-driving cars. Though most current applications focus on classification-based tasks, learning personalized generative models remains largely unexplored, and their benefits in the heterogeneous setting still need to be better understood. This work proposes a novel architecture combining global client-agnostic and local client-specific generative models. We show that using standard techniques for training federated models, our proposed model achieves privacy and personalization that is achieved by implicitly disentangling the globally-consistent representation (i.e. content) from the client-dependent variations (i.e. style). Using such decomposition, personalized models can generate locally unseen labels while preserving the given style of the client and can predict the labels for all clients with high accuracy by training a simple linear classifier on the global content features. Furthermore, disentanglement enables other essential applications, such as data anonymization, by sharing only content. Extensive experimental evaluation corroborates our findings, and we also provide partial theoretical justifications for the proposed approach.
Experimental recycling of Bell nonlocality with projective measurements

As a way of saving quantum resources, recycling of Bell nonlocality has been experimentally studied, but restricted to sequential unsharp measurements. However, it has been theoretically shown recently that projective measurements are sufficient for recycling nonlocality [Phys. Rev. Lett. \textbf{129}, 230402 (2022)]. Here, we go beyond unsharp measurement scenarios and experimentally demonstrate the recycling of nonlocal resources with projective measurements. By verifying the violation of Clauser-Horne-Shimony-Holt (CHSH) inequality, we find that three independent parties can recycle the Bell nonlocality of a two-qubit state, whether it is maximally or partially entangled. Furthermore, in the double violation region, the optimal trade-off for partially entangled states can be 11 standard deviations better than that for maximally entangled states. Our results experimentally eliminate the common misconception that projective measurements are incompatible with the recycling of quantum correlations. In addition, our nonlocality recycling setup does not require entanglement assistance, which is much more experimentally friendly, thus paving the way for the reuse of other kinds of quantum correlations.
Deep Variational Models for Collaborative Filtering-based Recommender Systems

Deep learning provides accurate collaborative filtering models to improve recommender system results. Deep matrix factorization and their related collaborative neural networks are the state-of-art in the field; nevertheless, both models lack the necessary stochasticity to create the robust, continuous, and structured latent spaces that variational autoencoders exhibit. On the other hand, data augmentation through variational autoencoder does not provide accurate results in the collaborative filtering field due to the high sparsity of recommender systems. Our proposed models apply the variational concept to inject stochasticity in the latent space of the deep architecture, introducing the variational technique in the neural collaborative filtering field. This method does not depend on the particular model used to generate the latent representation. In this way, this approach can be applied as a plugin to any current and future specific models. The proposed models have been tested using four representative open datasets, three different quality measures, and state-of-art baselines. The results show the superiority of the proposed approach in scenarios where the variational enrichment exceeds the injected noise effect. Additionally, a framework is provided to enable the reproducibility of the conducted experiments.
Pendampingan Pembelajaran Literasi, Numerasi, dan Adaptasi Teknologi pada Masa Pandemi Covid-19 di SDN 2 Kutorembet

Learning Literacy, Numeration, and Technology Adaptation is now very important for students, especially in elementary school, to strengthen the concept of logical thinking. Literacy is critical because it relates to the child's ability to listen, review, speak to observe so that they can communicate well without being affected by the subject of the audience. At the same time, numeracy skills are defined as the ability to interpret, access, use and link the concepts in mathematics in their application. However, in fact for implementing literacy and numeracy learning in schools is still considered a challenge in itself, colliding with limited access and materials, especially in this Covid-19 pandemic condition. So, this service activity was carried out by maximizing the literacy and numeracy learning mentoring process at the Kutorembet SDN placement location, which took place from August 2, 2021 to December 17, 2021. Activities carried out include teaching and learning activities to provide academic assistance. The key teaching and learning activities focus on literacy and numeracy education activities. Activities to help adapt technology are realized by showing educational videos to students and assistance in ANBK activities, as well as school administrative assistance activities which are realized by maximizing the function of the school library. This activity is carried out online and offline, considering the conditions of the COVID-19 pandemic, which require actions to occur in a hybrid manner. From this activity, it was found that the results of improving literacy and numeracy for elementary school students at SDN 2 Kutorembet and also additional literacy for classroom teachers in preparing existing learning media.
EKSISTENSI KERAJINAN GERABAH TRADISIONAL DI DUSUN PRECET BLITAR MELALUI DESA WISATA EDUKASI KAMPUNG GERABAH

In contrast to other craftsmen who experienced a decline, the traditional pottery industry in Precet actually experienced an increase. The purpose of the study was to determine the strategy of the pottery craftsmen in Precet Hamlet in maintaining their culture so that traditional pottery crafts still exist. The research was conducted in Precet, Plumpungrejo, Kademangan, Blitar. Using this type of qualitative research with a case study approach. Determination of research subjects by purposive sampling method. Data collection techniques are interviews with five informants, observation, and documentation. as for the data validity technique using source triangulation and data analysis is carried out through the stages of Miles and Huberman. The results of this study are people who still maintain their culture from generation to generation, innovations that continue to be carried out according to market needs, and a supportive surrounding environment so that the traditional pottery industry survives. This research is examined using the theory of structural functionalism from Talcot Parson. Parson coined the famous scheme of functions known as the acronym AGIL. The existence of this research is expected to be used as a motivation to continue to innovate with modern technology that helps facilitate craftsmen in making pottery.
Bagging decision-making and early warning algorithm fused with temporal features

In this paper, to address the problems of low accuracy and long timeliness of intrusion detection in multi-sensor decision warning technology in security systems, a Fusion_Time_Bagging (FT_Bagging algorithm for short) is proposed, the main feature of which is to participate in multi-sensor decision warning technology by introducing the concept of fused temporal features. The main process of this method is to first discretise the temporal attributes of the training dataset and then assign initial temporal weights; then use a particle swarm optimisation algorithm to optimise the weights of the initial temporal weights to obtain a training dataset with fused temporal features; finally, n sample sets are obtained by self-sampling, and the final prediction model is trained by eliminating the sample sets with temporal weights below the temporal feature threshold. Experiments were conducted on the decision alert dataset and the UCI public dataset, and the results showed that the algorithm outperformed the Bagging and Random Forest algorithms in terms of decision accuracy and timeliness, and outperformed five algorithms including Bagging, Random Forest and XGBoost in terms of performance such as accuracy rate.
The relationship between digital competency, learning styles and learners’ perception of traditional versus technology-assisted language learning

The face of education is bound to be reshaped due to the changing needs of students, imposed by new and emerging technologies. The educational system has been stuck in time for generations, and while some improvements have been made, there is still a long way to go before the means of teaching and learning entailed by educational programs and institutions is fully adapted to the new digital age and learner profiles. There are numerous benefits of incorporating computer and mobile tools in the teaching and learning methods and its effectiveness has been demonstrated through numerous studies, some of which are referred to in this research paper. Technology allows students and teachers to interact and engage in creative ways through a digital environment that enables students of divergent learning styles to simultaneously learn lessons in a personalized manner that will ensure successful learning and performance. This research presents the results of a survey conducted with 50 learners in Bosnia and Herzegovina, between ages 18 and 47, which was conducted for the purpose of exploring relationships between digital competency, learning styles, and learners’ attitudes towards traditional versus digital means of education. The research found that there is a strong preference for technology-assisted learning where participants primarily chose video as a learning medium, followed by voice recordings, music, podcasts, and practical use of the language with native or highly proficient speakers of the language learned. The study results, therefore, suggest a necessity for the application of an eclectic approach in education.
Peran Home Library dalam Meningkatkan Literasi Anak (Studi Home Library Dosen di Universitas Muhammadiyah Mataram)

The existence of a home library in every family provides easier and guaranteed access to information from information that isn’t needed, can grow and develop children's reading interest and culture from an early age, and develop positive brushes and develop children's skills through quality reading. In the context of the Covid 19 pandemic, home libraries are a good alternative in improving children's literacy. This study aims to determine the role of the home library in improving children's literacy (study at Muhammadiyah University of Mataram). The research method uses a qualitative approach. Sources of data obtained through primary sources (direct informants) and secondary sources (books or journals) related to the research. The data collection procedure was carried out by observation, interviews, and documentation. The collected data were analyzed and interpreted. The results showed that the home library plays a role in growing and improving children's literacy such as reading, writing and arithmetic literacy. children's character literacy such as discipline, honesty, responsibility, manners, mutual love, and respect for each other .The role of the home library, among others; first, the home library as a source of children's reading. Second, as a child's learning media. Third, as a place for children's recreation. Fourth, as a medium for children's cultural education. And fifth, as a medium for children's character education.
Efektivitas Online Library Services di Era New Normal: Studi Pada UPT Perpustakaan Universitas Lampung

&lt;p class="abstrak"&gt;&lt;strong&gt;(Objectives)&lt;/strong&gt; This research examines the Effectiveness of Online Library Services in the New Normal Era. As we all know, it has been almost two years since the world has experienced a COVID-19 pandemic.This also has an impact on library institutions, where the library is the parent of the School/University Institution itself. With these conditions, like it or not, libraries are also required to continue to provide excellent service even in the current state of the COVID-19 pandemic in order to continue to support an optimal learning process. The UPT Library of the University of Lampung is under the auspices of the University of Lampung, currently the UPT of the library is trying to adapt to the "New Normal" situation where it continues to provide online library services to users. &lt;strong&gt;(Method) &lt;/strong&gt;This research used kuantitative descriptive survey method&lt;strong&gt; &lt;/strong&gt;&lt;em&gt;&lt;strong&gt;(Findings) &lt;/strong&gt;&lt;/em&gt;The results of the study found that the Online Library Services UPT Lampung University Library was effective for the category of program success, the success of the intended goals, and input for achieving overall goals. However, for the category of satisfaction with the output level program, it is still quite effective, this is because there is still quite a long time needed to access e-resources services and verify scientific papers that are perceived by users. In this case, the UPT of the University of Lampung library can make improvements and updates to the online services provided so that the level of satisfaction with the program can be effective.&lt;/p&gt;
Strategi Pembinaan Pustakawan Dalam Meningkatkan Kinerja Layanan Sirkulasi di Dinas Perpustakaan dan Kearsipan Kabupaten Aceh Barat

This study discusses the stategy of librarian development in improving circulation service performance, in accordance with its function, the library is a to store and disseminate information through a collection of libray matarials. Librarians are always led to improve competence and professionalism in carrying out their duties and functions, this is so that librarians can compete and work together. The purpose of this study was to find out how the stategy of the library in improving the performance of librarians in the service sector, Through this stategy, Librarians are able to follow the are of information technology and become professionalism in the library field, This study uses descriptive qualitative methods in collecting data where this method describes the description of words instead of numbers. The results of this research are : Resolution of Librarians in Facing Changes in the Circulition Service System in the Future, Performance Development, Implemented Cooperation, Development of information Technology in the Field of Services through INLISLITE Applications, Cereer Development, Librarians Ability in Implementing Technology-Besed Library Management (INLISLITE), The process of recruiting librariasn, Budget allocation for librarians development. The results obtained from the researchers, from the interview stge six (6) informants consisting of the librarians and the of sub-section .