Reviewerly/exHarmony huggingface dataset:
Improve Performance of Fine-tuning Language Models with Prompting

This paper explores the effectiveness of prompt programming in the fine-tuning process of a Hungarian language model. The study builds on the prior success of prompt engineering in natural language processing tasks and employs the prompting method to enhance the fine-tuning performance of a huBERT model on several benchmark datasets of HuLU. The experimentation involves testing 45 prompt combinations for the HuCoPA dataset and 15 prompt variations for the HuRTE and HuWNLI datasets. The findings reveal that the addition of an instructional text consistently produces the best results across all winning cases, and that the [CLS] token produces the best results in the separator token experiments. The most significant enhancement was observed in the HuWNLI dataset, with an increase in accuracy from 65% to 85%. These results demon- strate that the addition of instruct text is crucial and sufficient in enabling the language model to effectively interpret and solve the Winograd Schemata problem. These results showcase the potential of prompt programming in enhancing the performance of language models in fine-tuning tasks, and highlight the importance of incorporating task-specific instructions to improve model interpretability and accuracy.
What Can We Learn from Small Data

Over the past decade, deep learning has profoundly transformed the landscape of science and technology, from refining advertising algorithms to pioneering self-driving vehicles. While advancements in computational capabilities have fueled this evolution, the consistent availability of high quality training data is less of a given. In this work, the authors aim to provide a bird’s eye view on topics pertaining to small data scenarios, that is scenarios in which a less than desirable quality and quantity of data is given for supervised learning. We provide an overview for a set of challenges, proposed solution and at the end tie it together by practical guidelines on which techniques are useful in specific real-world scenarios.
Cluster States Generation with Quantum Metasurface

We analyze an implementation of cluster states generation protocols by employing quantum metasurfaces made out of sub-wavelength atomic arrays, including fundamental quantum logic gates useful for general quantum computation and communication purposes.
Generation of Time-bin GHZ States

We detail our experiments towards generating GHZ states encoded into time-bin qubits using a switch. We present a theoretical model founded on phase-space techniques to corroborate our experimental findings.
Generalized Conditional Displacement

We present a generalization of the conditional displacement operator, conditioned on a quditancilla, and discuss possible implementations. This generalization provides a building block for quantum computation with grid states, allowing efficient error correction protocols.
Fully chip-based decoder for polarization-encoding quantum key distribution

We propose a fully chip-based decoder for polarization-encoding quantum key distribution. The chip realizes a polarization state analyzer and compensates for the BB84 protocol without requiring additional hardware.
Towards Distribution of Memory-Compatible Polarization Entanglement Over Long Distances

We have developed a portable, cavity-enhanced, telecommunication photon-pair source, which is coupled with polarization compensation enabling robust, high-fidelity entanglement. We have deployed this source on our three-node long-distance test-bed to distribute entanglement over 140km.
Maximally Entangled State Generation Between Atomic Ensembles Using Adaptive Quantum Nondemolition Measurements

We develop a scheme to prepare a macroscopic maximally entangled state (MMES) between two atomic ensembles. The quantum state of system is evolved using a sequence of quantum nondemolition (QND) measurements followed by adaptive unitaries in z and x spin basis alternately. This procedure is repeated such that the state converges deterministically towards the MMES.
Effect of polarization mismatch on differential phase based measurement device independent quantum key distribution

The effect of polarization mismatched coherent pulses on the key rates of differential phase based MDI QKD is investigated. It is found that this protocol can withstand a polarization mismatch of at most 11°.
Towards Deterministic Optical Quantum Gates with Dispersion-Engineered Temporal Trapping

We introduce a new mode of optical confinement, dispersion-engineered temporal trapping, that circumvents the tradeoff between Q and V , opening a route to room-temperature optical strong coupling and deterministic quantum gates.
Free-electron interactions with photonic GKP states: error correction and universal quantum computation

We find that interactions of coherently-shaped free electrons with photons enable universal quantum computation and error correction with GKP qubits. The electron can entangle multiple GKP qubits, creating GHZ and cluster states.
Jaynes-Cummings interaction between slow free-electrons and cavity photons

The Jaynes-Cummings model, quintessential to quantum technologies, relies on bound electron systems having limited controllability. Here we show that low-energy free-electrons interacting with cavity photons offer alternative and versatile ways to implement the Jaynes-Cummings interaction.
Inovasi Media Pembelajaran Matematika Berbasis Smart Apps Creator (SAC) pada Materi Bangun Ruang Sisi Lengkung

This research is facing background by the frequent us of android as a medium in learning, but there’s no media available in the form of an android application on the curved side space building material. The purpose of this research is to produce a mathematic learning media based on Smart Apps Creator (SAC) on curved sideways material that is valid, practical and has a potential effect on learning outcomes. This research is a type of development research using the ADDIE development procedure. The data of this research were obtained through questionnaries and test. Based on the result of research and data analysis, it can be concluded that the assesment of the questionnaire from the expert obtained a percentage of validity of 95% with very valid criteria. The practicality assessment obtained an average percentage of 89% which means that media is included in the very practical criteria. The potential effect of media on learning outcomes obtained a percentage of 89% with very high criteria.
A quantum-assisted master clock in the sky – sub-nanosecond quantum clock synchronization at global scales

We propose a quantum-assisted network of low-SWaP satellite-based clocks forming a master clock in the sky. Synchronization amongst satellites and between satellite-ground station pairs is done through a quantum clock synchronization protocol. This pro-vides continuous sub-nanosecond to picosecond precision over global scales (better than GPS).
Designing Correspondence Administration Information Systems Using User Experience Design Model

The design of the community service correspondence information system application starts from the data collection method (interviews, observations and documentation) using a user centered design model has 5 stages, namely Empathized, Define Problem Statements, Indentation, and Prototype in accordance with user needs in community service correspondence administration information systems that can overcome existing problems. The results of ISO 25010 testing that has been carried out involving respondents that the resulting software feasibility quality conclusion has a percentage of success with an average total of 95.92%.
Perancangan Sistem Persediaan Menggunakan Metode Extreme Programming

PT ABC is a trading business engaged in selling goods to customers. Sales of goods include, among others, tires, spark plugs, 2-wheel and 4-wheel lubricants. The problem that exists in the inventory process is that making sales notes and invoices for delivery of goods is still done manually, namely by writing on notes and invoices for delivery of goods to be given to customers, thus slowing down staff performance in processing sales transactions. In the process of purchasing goods from suppliers, PT ABC also has problems, namely the recording of goods when purchasing goods is still recorded in the stock book and added with a calculator to find out the total stock of goods. The purpose of the research conducted is to produce an inventory information system using extreme programming methods that are useful to help solve problems that exist in inventory. The implementation of the extreme programming method in PT ABC inventory information system that occurs is displayed in the form of a report so that leaders can quickly find out the total number of incoming goods, outgoing goods, and inventory of goods that occur in the company.
The perception of Information communication technologies (ICTs) and perceived organizational support among extension workers in North central Nigeria

The study assesses the perception of ICTs and perceived organizational support among extension workers in North central Nigeria. Data were collected through the use of a questionnaire to 291 respondents, simple random sampling method was employed. Mean, frequency, standard deviation, correlation coefficient, and Multi-linear regression were used for data analysis. Findings reveal a moderate level of ICTs training, high level of ICTs application and moderate level of Perceived organizational support. Based on result from the Bivariate correlation, the result revealed a positive and significant correlation between ICTs application (r=0.309) and job performance at P
Persepsi dan Pengetahuan Siswa terhadap Modul Ajar Ilmu Pengetahuan Alam (IPA) Berbasis Augmented Reality (AR)

This study aims to observe students' knowledge of using Augmented Reality (AR)-based teaching modules in science education through their perceptions. The research employs a quantitative descriptive approach, utilizing questionnaires and interviews as research instruments. Data analysis is conducted using the Interactive Model of Miles and Huberman. This research was conducted in one of the junior high schools in Pekanbaru, with 24 research subjects. This study's findings indicate that most students know about Augmented Reality (AR)-based teaching modules. Most students agree that using AR-based teaching modules as a learning medium assists them in understanding science materials. These findings indicate the positive potential of using AR technology in the context of science education. In the future, this technology integration can be further developed to enrich student's learning experiences and enhance their understanding of scientific concepts. These findings are expected to provide valuable insights for developing technology-based learning strategies in education.
Penggunaan Game Edukasi Digital pada Pembelajaran Ilmu Pengetahuan Alam: Persepsi dan Pengetahuan Siswa

This research aims to assess students' level of knowledge through their perception of using digital educational games in Science (IPA) learning. The type of research conducted is descriptive quantitative, and for this study, questionnaires and interviews were used as instruments to collect data. The data analysis technique applied is the Miles and Huberman Interactive Model. This research was conducted at one of the junior high schools in Pekanbaru, with 30 student subjects. The results of the study show that the majority of students know educational games. Most students agree that using educational games as a learning medium helps them understand the concept of the solar system in the Science subject. This finding provides a positive outlook on the potential of digital educational games as effective learning aids. This research offers new insights into students' perception of using educational games in Science learning
Sistem Pelayanan Jasa Tour and Travel Berbasis Web

The purpose of this research is to develop a web-based tour and travel service system for the JC Tour and Travel company. The development method used is Extreme Programming. The development of this system involves the use of several tools such as XAMPP, Visual Studio Code, and Mozilla Firefox. The programming languages used are PHP, HTML, and CSS, with MySQL as the database. Testing was carried out using the Black Box Testing method. This system aims to provide efficient and easy-to-use solutions for customers in planning and ordering travel services, as well as assisting companies in managing and managing their operations. Some of the features developed in this system include searching for destinations and packages, ordering and paying online, and updating order status in real-time. It is hoped that the results of this research can provide a better experience for customers by implementing an effective Extreme Programming method and proper testing.
Perancangan UI/UX Aplikasi Mobile Produk Fashion Pria pada Toko Celcius di Kota Manado Menggunakan Design Thinking

Technology is always growing rapidly from year to year, one of which is the internet. This increasingly advanced technology makes it easier for humans to help their activities such as in the field of sales. Celcius is a shop that sells mens products and accessories. Celcius must make online sales via Instagram and Whatsapp. However, purchases via Instagram experience several problems, namely that buyers have to type manually via Instagram and WhatsApp, making it difficult for buyers when buying at Celsius stores. This research aims to create a User Interface (UI) and User Experience (UX) design that makes it easy for buyers to make purchases and find out information about products clearly by using the Design Thinking method which includes the Empathize, Define, Ideate, Prototype and Testing stages. The Design Thinking method used is to create solutions based on problems in order to create designs that are easy to use and understand by users. The design was tested using Usability testing to 10 respondents by presenting a single ease question (SEQ) which obtained a result of 6.85 out of 7 and the System Usability Scale (SUS) which obtained a result of 95 out of 100. Thus, it is concluded that the UI / UX design of mobile-based men's fashion product applications at Celcius stores in Manado City can be used easily by users and have a positive experience based on SEQ results and get good satisfaction from users based on SUS results.
Perancangan Sistem Marketplace Penyedia Jasa Pangkas Rambut Berbasis Website Menggunakan Mern Stack

Since covid 19, many barbershops have opened home call services to increase consumer convenience as well as competitiveness, so reservations are provided via telephone or whatsapp calls. While serving call services, there are several problems that make consumers feel disappointed, such as the difficulty of knowing the status of the captain, consumers have to confirm repeatedly to find out whether the barber is available or not for home calls. To anticipate these problems, a marketplace system for barbershop service providers was created to help estimate capster work time to be more efficient using extreme programming methodology and web-based Mern Stack technology which can later be used by barbershop service providers to manage their barbershop or barbershop, as well as manage the work status of the capster, so that consumers can find out the work status of their subscription capster. The calculation results from testing the marketplace system for barber service providers using ISO 25010 resulted in a percentage of 99% for the functionality and usability aspects resulting in a percentage of 85.6%, in this case indicating that the developed system runs as expected and there are no bugs in it.
Optimizing User Experience in Wearable Cognitive Assistance through Model Specialization

Wearable Cognitive Assistance (WCA) is a rapidly evolving application that relies on accurate computer vision models for optimal performance and user experience. However, adapting these models to varying user workstation backgrounds can be challenging, as it often necessitates extensive data collection and model retraining. To address this challenge, we propose an approach that focuses on improving model specialization to enhance the accuracy of model inference. Our method eliminates the need to gather the entire training dataset from each individual end user. This not only reduces labor-intensive work but also minimizes bandwidth requirements for transferring data to remote servers for training.
Z-Pose

This paper introduces Z-Pose, a method for continuous 3D hand pose tracking that uses swept-frequency RF sensing via a worn ring device. By modeling the hand as an RF antenna and analyzing its geometry-dependent impedance, Z-Pose performs real-time hand tracking based on the unique impedance signature of each pose. Unlike camera-based systems, this sensing technique is robust to occlusion and illumination, performing well in our evaluation studies even with obstructions such as sleeves and gloves. The results indicate that the system achieves an average Euclidean error of 7.2mm across individual hand joints, lending itself to a variety of interactive applications.
CEO's industry experience and emerging market SME performance: The effects of corruption and political uncertainty

We examine how Chief Executive Officer (CEO) industry-specific experience influences firm performance in small and medium enterprises (SMEs) in emerging markets. Drawing on the upper echelons perspective and learning theory, we propose an inverted U-shaped relationship between an SME CEO's industry-specific experience and firm performance. We also argue that country corruption and political instability moderate this relationship, resulting in lower performance for SME CEOs with little industry experience or many years of industry experience in countries with high corruption or political instability. We test our hypotheses using data from the World Bank's Enterprise Survey of firms in emerging economies from 2006 to 2019. The results support our hypotheses that corruption and political instability primarily hurt the performance of SMEs with CEOs having very long industry experience. We discuss implications of this research for scholars studying SMEs in lesser-developed institutional environments and how leaders may influence SME performance.
Social Media Analytics

Social media platforms are powerful for businesses to gain insight into how their customers feel about their company, product, or service. This chapter discusses the different types of social media analytics methods available to businesses to track their social media performance. With the help of natural language processing, businesses can understand the emotions associated with their brand and develop strategies to better serve their customers. With its insights into customer behavior and its ability to detect shifting trends in social data, social media analytics can provide a clear picture of how customers move from your social media presence to making purchases.
User Study Analytics

User studies, involving both qualitative and quantitative data about user experiences, can complement and contextualize the insights and data afforded by web and social media analytics, providing an extension to these analytics areas, which we refer to as user study analytics. In this chapter, we discuss some of the dos and don’ts of user studies, including what user studies are, how they are planned and created, and how user study results can be analyzed for positive effects on usability and user experience.
Deep Viewpoints

This paper describes the design and use of Deep Viewpoints, a software platform for eliciting and sharing citizen perspectives associated with museum artworks. The design of the platform is inspired by the process of Slow Looking in which museum visitors are guided to observe artworks and develop their own response. Within Deep Viewpoints, the processes of observing and responding to artworks are guided by a script comprising stages containing artworks, statements, and prompts or questions to which the follower of the script can respond. Scripts are intended for use either in the gallery or remotely. We describe the design of Deep Viewpoints and how it can be used to respond to scripts, view the responses of others and author new scripts. We then describe our experiences of using Deep Viewpoints with communities traditionally underserved by the museum sector to bring new perspectives to the museum collection. Crucially, the communities were not only involved in interpreting artworks with the guidance of the scripts but also creating new scripts, mediating how others observe and think about art. Analysis of the authored scripts revealed a range of ways in which they were used to share interpretations of the artworks and mediate what questions others should ask themselves when viewing the artworks. Finally, we reflect on the potential role a scripted approach to Citizen Curation could play in promoting cultural engagement.
HUMAN'23

HUMAN 2023 is the 6th workshop of a series for the ACM Hypertext conferences. The HUMAN workshop has a strong focus on the user and thus is complementary to the strong machine analytics research direction that could be experienced in previous conferences.
Hybrid Manta Ray Foraging Algorithm with Cuckoo Search for Global Optimization and Three-Dimensional Wireless Sensor Network Deployment Problem

In this paper, a new hybrid Manta Ray Foraging Optimization (MRFO) with Cuckoo Search (CS) algorithm (AMRFOCS) is proposed. Firstly, quantum bit Bloch spherical coordinate coding is used for the initialization of the population, which improves the diversity of the expansion of the traversal ability of the search space. Secondly, the dynamic disturbance factor is introduced to balance the exploratory and exploitative search ability of the algorithm. Finally, the unique nesting strategy of the cuckoo and Levy flight is introduced to enhance the search ability. AMRFOCS is tested on CEC2017 and CEC2020 benchmark functions, which is also compared and tested by using different dimensions and other state-of-the-art metaheuristic algorithms. Experimental results reveal that the AMRFOCS algorithm has a superior convergence rate and optimization precision. At the same time, the nonparametric Wilcoxon signed-rank test and Friedman test show that the AMRFOCS has good stability and superiority. In addition, the proposed AMRFOCS is applied to the three-dimensional WSN coverage problem. Compared with the other four 3D deployment methods optimized by metaheuristic algorithms, the AMRFOCS effectively reduces the redundancy of sensor nodes, possesses a faster convergence speed and higher coverage and then provides a more effective and practical deployment scheme.
Lightweight Cloud-Based Solution for Digital Education and Assessment

With a shift from the regular in-class education to e-learning-based education, there is a need to have the right platform to conduct assessments and courses in a more effective and user-friendly manner which includes robust monitoring, capability of doubt clearing, easy sharing of reference materials and more. There is a need for a highly customizable lab which supports all languages and is very lightweight. Our solution focuses on the creation of a robust, lightweight lab that provides a plug-and-play model for on-demand compilation capabilities. This virtual lab is hosted on the in-house blade servers and virtualized using metal-as-a-service (maas) along with juju controller. Kubernetes is used for on-demand compilation support as well as serves as the load balancer for the servers. The lab is specific to Computer Science-related courses and aims to impact the students present in the low bandwidth and rural areas. Moreover, the proposed methodology enhances the capabilities of the institutions to utilize their resources to the fullest with the help of virtualization through maas, juju and open-stack and orchestration through Kubernetes.