Reviewerly/exHarmony huggingface dataset:
Scaffolding Strategy for Language Acquisition through the Use of Colloquialism by BIPA Learners in Solo

There are language variations in non-formal situations called colloquialism. Colloquialism can be in the form of colloquial language, conversational language, and market language that is not in accordance with standard language rules. The purpose of this article is to describe and discuss the form of colloquialism usage by foreign students learning Indonesian as a foreign language. This research is a descriptive qualitative research and uses case study method. The data sources of this research are recordings of BIPA learning, recordings of active participants, and recordings of events involving passive participants. The results of this study show that the use of colloquialism of Indonesian conversation has an influence in the language acquisition of BIPA learners. The processing of Indonesian that does not conform to standard rules is an initial strategy for foreign students that can facilitate the achievement of effective communication skills. The colloquialism learned by foreign students act as scaffolding in achieving language proficiency and effective communication skills for both formal (academic) and daily communication purposes.
Achievements and prospects: 25 years of SPQEO journal

The Ukrainian journal Semiconductor Physics, Quantum Electronics and Optoelectronics (SPQEO) was launched in 1998 artificially combining three main areas of scientific activity inherent to the V. Lashkaryov Institute of Semiconductor Physics of the National Academy of Sciences of Ukraine, namely semiconductor physics, quantum electronics and optoelectronics. After a decade this artificial base turned into some kind of organic symbiosis, namely: (i) the main optoelectronic systems are based on semiconductor devices, for example, fiber-optic networks; (ii) semiconductor lasers dominate in a huge number of applications in quantum electronics; (iii) semiconductor physics proposes new types of LEDs with extremely high efficiency, and so on. This article is dedicated to the 25 th anniversary of SPQEO. According to the Google Scholar Citation statistics, above 1680 articles cited more than 7350 times in total were published in the journal from 1998 to 2023. The statistics of references of journal articles and the scientific areas of the most cited articles are presented.
Performance comparison and analysis of traditional PID and fuzzy PID control applied to UAV

Abstract Quadrotor UAVs are gradually being used in various fields because of their flexibility, ease of control and low cost. Along with advancement of electrical technology in contemporary times and increasing application scenarios of the aircraft, the demand for control systems has also increased. In different application scenarios, there are some differences in the functions and application requirements of UAV. Therefore, it is of great value to adjust the control algorithm by combining the scenario requirements. PID heuristic and fuzzy PID heuristic are the two most common control algorithms in UAV. In this paper, the heuristics are designed and compared for the above two algorithms in different scenarios and environments. First, the development process and status of UAVs are explained, and the importance of the control system is introduced. Subsequently, two control systems are studied and designed separately, and targeted comparison tests are conducted. Finally, the performance and applicability scenarios of the two control systems are analysed according to the experimental results, which in turn provide an important reference basis for the design of PID-based UAV control systems.
Efficient path planning method based on A-STAR

Abstract Path planning is a crucial aspect of agent (robot) automation, as its efficacy directly affects the quality of tasks performed. This paper proposes an innovative and efficient path planning method by merging the advantages of the A-STAR and the artificial potential field (APF) technique. The proposed method of calculation aims to enhance the traditional A-STAR approach by incorporating an artificial potential field system. Specifically, the estimated cost in the conventional A-STAR approach is ameliorated through the integration of a precisely designed estimated cost gain. The gain is determined by the direction of the force in the artificial potential field., thus enabling the algorithm to focus more accurately on the direction of the target location while avoiding obstacles during path exploration. Through simulation results, the improved algorithm proves its feasibility by maintaining the same path length while reducing the running time by decreasing multiple exploration directions. The improved algorithm, which is more efficient, surpasses the conventional A-STAR and can be utilized for agent trajectory planning in static and complex environments, showcasing its superior performance.
K-means Algorithm Based on Flower Pollination Algorithm and Calinski-Harabasz Index

Abstract Aiming at the problems that the Flower Pollination (FP) algorithm is easy to fall into the local optimum, the searchability is weak, and the k-means algorithm is easily affected by the selection of the initial clustering centre, a k-means algorithm based on the FP algorithm is proposed. Six benchmark functions test the improved FP algorithm. The effectiveness of the k-means algorithm based on the improved FP algorithm was tested and verified with UCI machine learning and artificial datasets. The verification results showed that the improved FP algorithm improved based on ensuring a faster convergence speed. Compared with other algorithms, the performance of this algorithm has been significantly improved in all aspects.
Blockchain: No pain, no gain? An examination of blockchain technology in the vitivinicultural sector

This review explores the potential applications of blockchain technology in the wine industry, focusing on its ability to increase transparency, traceability, and efficiency in the supply chain. The article highlights several case studies of blockchain adoption in the industry, including platforms that allow consumers to trace the origins of their wine and wineries that use blockchain to track grape production and monitor wine quality. While blockchain has the potential to bring significant benefits to the wine industry, such as improved fraud detection and reduced transaction costs, the review also points out several challenges to widespread adoption. These include the need for standardisation, regulatory concerns, and the high costs of implementing blockchain solutions. Furthermore, the review suggests that small-scale wine producers may be the biggest losers in this technological shift. Larger, more technologically advanced wineries are better equipped to absorb the costs of implementing blockchain solutions and may gain a competitive advantage over their smaller counterparts. In conclusion, while blockchain has the potential to bring positive change to the wine industry, its adoption should be accompanied by careful consideration of the potential impacts on all stakeholders, particularly smaller producers.
Community perceptions classification towards the development of transportation access at Darmo Corridor Surabaya using SVM and naive bayes methods

Abstract This research conducts Classification of Public Perceptions of Transportation Access Development in Darmo Corridor Surabaya using SVM and Naive Bayes methods. The increasing mobility demands necessitate adequate public transportation facilities, such as the Surabaya bus, which has been operational since 2018. The Darmo corridor has witnessed significant development in public transportation facilities and infrastructure, serving as a transit point between two Surabaya bus routes. The purpose of this study is to evaluate public perception towards the implementation of Transit Oriented Development (TOD) concept in the corridor. In this study, a qualitative descriptive analysis was conducted on various aspects of TOD implementation, such as pedestrian paths, bicycle lanes, and green open spaces. Furthermore, public perception was analyzed using Naive Bayes Classifier and SVM methods by collecting data from Twitter accounts and giving weights based on the frequency of words in the tweets. From the analysis it could be concluded Naïve Bayes is not suitable for classification because it’s not stable enough, the SVM Methods matchs 95% proven when its repeated for 5 more time it. The results showed that the Darmo corridor successfully implemented the TOD concept well, with 90% of the community giving a positive response to the TOD implementation in the area. This finding indicates the success of TOD initiatives in improving transportation facilities and infrastructure in Darmo corridor.
ML Powered Container Management Platform: Revolutionizing Digital Transformation through Containers and Observability

As companies adopt digital transformation, cloud-native applications become a critical part of their architecture and roadmap. Enterprise applications and tools are developed using cloud native architecture are containerized and are deployed on container orchestration platforms. Containers have revolutionized application deployments to help management, scaling and operations of workloads deployed on container platforms. But a lot of issues are faced by operators of the platforms such as complexity in managing large scale environments, security, networking, storage, observability and cost. This paper will discuss on how to build a container management platform using monitoring data to implement AI and ML models to aid organization digital transformation journey
Health vs. privacy. How Norwegian public authorities and news media framed the newly developed digital contact tracing app “Smittestopp” under the COVID-19 pandemic

In spring 2020, shortly after the outbreak of the Coronavirus diseases 2019 (COVID-19), Norway introduced the digital contract tracing app “Smittestopp” (“Stop infection”) as a measure to combat the pandemic. The launch was accompanied by scientific uncertainties about the technology: the app had been developed at lightning speed and hardly been tested, and its effects were unclear. It did not become a success, was strongly underused and soon had to be discontinued due to privacy issues. Our study starts from the assumption that in this situation of uncertainty about the technology, combined with and resulting from a lack of user experience, the app's public portrayal was a decisive factor for this outcome. We investigate the framing of “Smittestopp” in press releases by Norwegian public authorities and in news articles. By means of a qualitative content analysis, we identify 11 frames and uncover the opposition between health considerations and privacy concerns as central conflict line. In their press releases, the public authorities did not use frames very strategically. The news media provided diverse frames but at the same time focused relatively strongly on privacy issues that ultimately led to the app's discontinuation.
Effectiveness of RFID Smart Library Management System

Libraries are crucial for diverse resources, particularly for students and educators. The Library Management System (LMS) in Perpustakaan Raja Tun Uda (PRTU) still used barcode technology, which was inadequate and could increase the workload of the librarians. This study presented the development and evaluation of the Smart Portable Library Management System (SPLMS) using RFID technology. The study addressed the gap in the literature by focusing on the impact of angle adjustment on the performance of UHF RFID readers in reading RFID tags placed on book spines. The study was conducted by implementing the SPLMS and performing system testing at different angles. The scope of the study encompassed the design and implementation of the SPLMS, system testing with varying angles, and evaluation of the reader's success rate in reading RFID tags. The validation of ZK-RFID101 of the results have shown that the reader has a 100% success rate for distances between 1 and 3 meters, but the success rate drops to 80% at 5 and 6 meters due to radio frequency interference. The main findings indicated that increasing the angle from 0 to 90-degrees improved the reader's performance, although certain tags still presented challenges. The results from the five conducted trials strongly indicated that a 90-degree angle was the optimum performance. The study concluded that the angle and placement of RFID readers was crucial for optimal performance in library management systems. The SPLMS provided librarians with a user-friendly dashboard for efficient book collection management, boosting productivity and enhancing user experience.
Balancing Teacher–Led And Student–Led Activities When Teaching Foreign Languages to Students at Uzbekistan’s State Conservatory

This paper will look at the issue of implementing new work methods in English classes at the State Conservatory of Uzbekistan. Recently, there has been a lot of debate on whether to switch to a student–centered method or stick with the traditional model, in which the teacher entirely controls the process. There has been the need to employ innovative ways for motivating students and monitoring learning activities in the process of learning foreign languages in the digital educational environment. The paper argues that most students, regardless of their level, prefer cooperative learning and value teacher assistance. The forms of education that students select are determined by their attitude toward the learning process. The combined learning process allows language learners to cooperate with their teacher and fellow students, resulting in changes in the connection between teachers and students in which students’ personal interests and professional aspirations are taken into account. In the case of teaching conservatory students, it was discovered that student–centered training was less beneficial for those of students that just starting to learn English language as well as for the students at an intermediate level, but showed good results for the students approaching a more advanced level of understanding.
From Site-Specific Sampling to Gamification: An exploration of performative engagement with the environment

This article explores strategies that allow electronic music performers to engage their audiences and environments in live acts of co-creation. We outline our existing musical practice relying on site-specific sampling and digital mobile technologies that have been tested across a range of participatory music performances. Salient challenges within this performance context are identified and several tools and techniques are proposed as solutions. We then consider how setting-based and sample-based participatory performances can be expanded through gamification strategies. After exploring how notions of playful experience can offer new insights into the nature of audience engagement, we propose several approaches for introducing gamified elements into performative music practices that can expand the scope of audience participation while preserving key aspects of using concert location recordings and musical improvisation. We conclude by discussing the implications of these approaches for the performer–audience relationship and the prospect of musical engagement with the environment before suggesting directions for future research.
A Quantum-Inspired Direct Learning Strategy for Positive and Unlabeled Data

Abstract Learning from only positive and unlabeled (PU) data has broad applications in fields such as web data mining, product recommendations and medical diagnosis, which aims to train a binary classifier in the absence of negative labeled data. However, due to the lack of negative label information, prevailing PU learning methods usually rely on prior knowledge of unknown class distributions heavily. In fact, without additional constraints imposed by the prior knowledge, a direct learning strategy to coordinate the underlying clustering information in unlabeled data with the label information from positive training data is often considered challenging. To tackle this challenge, we propose a direct PU learning strategy using quantum formalization. By employing neural networks as backends, the samples are mapped into two-qubit composite systems, which should be understood here as mathematical entities encapsulating various classical distributions of two classical bits. Subsequently, the two qubits within the systems are trained to be as independent as possible from each other, capturing patterns of different classes. At the same time, their measurement results serving as the model outputs are encouraged to be maximally dissimilar. These characteristics enable effective training of classifiers on PU data. After formulating an appropriate discriminant rule, we introduce a quantum-inspired PU method named qPU using the direct learning strategy. This method not only has the potential to alleviate parameter sensitivity issues caused by prior estimation in other methods but is also straightforward to implement. Finally, experiments conducted on 13 classical datasets validate the effectiveness of qPU.
Stress Separation in Digital Photoelasticity Part A - Photoelastic Data Unwrapping and Smoothing

The advent of digital photoelasticity saw the development of various techniques to get photoelastic data of isoclinics and isochromatics at every pixel in the domain. Unlike in other interferometric techniques, in photoelasticity one gets phase data of two quantities and their mutual dependence and interaction affect their evaluation. For stress separation studies, one requires both isochromatics and isoclinics accurately free of any kinks in the domain. With this in view, a robust approach is evolved to get these parameters. Initially wrapped isoclinics are obtained using a plane polariscope based phase shifting technique. These are unwrapped by a quality guided approach. However, the result has several kinks due to isochromatic-isoclinic interaction. An outlier smoothing algorithm is proposed for getting a smooth variation of the isoclinics. Six-step phase shifting method using a circular polariscope is used for determining the isochromatic data. The smoothed isoclinic values obtained are used in isochromatic calculation to get isochromatic phasemap free of ambiguities. This phasemap is also unwrapped by a quality guided approach and smoothed by the outlier algorithm. These methodologies are validated for two benchmark problems of a disk under diametral compression and a ring subjected to internal pressure. The models are subjected to moderate loads showing a high level of isochromatic-isoclinic interaction.
Stress Separation in Digital Photoelasticity Part B - Whole Field Evaluation of Stress Components

In photoelasticity, the method of obtaining the individual values of principal stresses/normal stresses separately is referred to as stress separation. For stress separation, one needs the value of fringe order and the isoclinic angle free of noise over the domain. With improved data acquisition and smoothing methodologies, it has now become possible to get accurate and smooth variation of the fringe order and the isoclinic value over the domain. This has been discussed in detail in Part-A of this article. Shear difference is one of the widely used techniques for stress separation in photoelasticity. Though it is a line byline technique, a whole field evaluation of stress separation using this technique and its representation is shown in this paper. It is observed that spikes in isoclinic values lead to streak formation in the whole field representation of separated stress components. The use of outlier algorithm for smoothing isoclinic and isochromatic data has removed these streaks and has also greatly improved the accuracy of the separated stress components. The various issues related to digital implementation such as boundary pixel identification, grids for accommodating the various boundaries etc. are given in the Appendix. Performance of the methodology is verified for simply and multiply connected objects. The models are subjected to moderate loads to have sufficient isochromatic-isoclinic interaction. The stress components obtained are smoothed with the outlier algorithm for improved accuracy. Whole field separated stress values are obtained for the domains considered.
THE EFFECT OF VOCABULARY NOTEBOOK IN ENRICHING STUDENTS’ VOCABULARY AT THE 3RD SEMESTER STUDENTS OF PSDKU ARU

The aim of conducting this research is to see the effect of using the Vocabulary Notebook strategy in enriching students’ vocabulary. The research was done for three months with 12 students as samples. The research method was experimental research with pre-test and post-test that were used to take the data. The description of statistics and inferential statistics were used to analyze the data, and the SPSS program also was used in the process of analyzing data. The results show that the mean value in the pre-test was 15.42 with a deviation standard was 2.64, while the mean value in the post-test was 41.92 with a standard error of 0.85. Thus, it can be said that the results of the post-test were higher than the pre-test. Moreover, the significant value (2 tailed) of the research was 0.000(p 0.05), so the results of the pre-test and post-test have a significant change. All in all, there is a significant difference between pre-test and post-test after getting treatment using the Vocabulary Notebook strategy in enriching students' vocabulary. Thus, the hypothesis of this study is accepted.
Ethical Challenges for Human–Agent Interaction in Virtual Collaboration at Work

In virtual collaboration at the workplace, a growing number of teams apply supportive conversational agents (CAs). They take on different work-related tasks for teams and single users such as scheduling meetings or stimulating creativity. Previous research merely focused on these positive aspects of introducing CAs at the workplace, omitting ethical challenges faced by teams using these often artificial intelligence (AI)-enabled technologies. Thus, on the one hand, CAs can present themselves as benevolent teammates, but on the other hand, they can collect user data, reduce worker autonomy, or foster social isolation by their service. In this work, we conducted 15 expert interviews with senior researchers from the fields of ethics, collaboration, and computer science in order to derive ethical guidelines for introducing CAs in virtual team collaboration. We derived 14 guidelines and seven research questions to pave the way for future research on the dark sides of human–agent interaction in organizations.
Directionally weakened diffusion for image segmentation using active contours

The active contour model, also known as the snake model, is an elegant approach for image segmentation and motion tracking. The gradient vector flow (GVF) is an effective external force for active contours. However, the GVF model is based on isotropic diffusion and does not take the image structure into account. The GVF snake cannot converge to very deep concavities and blob-like concavities and fails to preserve weak edges neighboring strong ones. To address these limitations, we first propose the directionally weakened diffusion (DWD), which is anisotropic by incorporating the image structure in a subtle way. Using the DWD, a novel external force called directionally weakened gradient vector flow (DWGVF) is proposed for active contours. In addition, two spatiotemporally varying weights are employed to make the DWGVF robust to noise. The DWGVF snake has been assessed on both synthetic and real images. Experimental results show that the DWGVF snake provides much better results in terms of noise robustness, weak edge preserving, and convergence of various concavities when compared with the well-known GVF, the generalized GVF (GGVF) snake.