Reviewerly/exHarmony huggingface dataset:
Research on Tibetan-Chinese cross-linguistic summarization

Cross-lingual summarization (CLS) is the task of generating summaries in one specific language for source documents in different languages. Existing methods simply divide the cross-lingual task into two tasks: summarization task and translation task. Pipeline-based methods can cause problems with error propagation. In this paper, a round-trip translation strategy (RTT) is used to construct a Tibetan-Chinese cross-language abstract dataset from an existing monolingual Tibetan abstract dataset, and then an end-to-end framework is used to train the Tibetan-Chinese crosslingual abstract task. Experimental results show that our method achieves significant improvements in performance metrics compared to traditional pipeline methods.
Embedded network risk model based on random forest algorithm

By extending and optimizing the COSMIC-FFP model, a measurement method for embedded network systems is proposed, which solves the problem that the COSMIC-FFP model does not support the measurement of real-time systems. At the same time, the network fault analysis and the measurement method based on the network scale are designed to improve the accuracy of the network scale. The experimental results show that through the fault analysis and accurate measurement of the embedded network, the proposed method can find out the weak links of risk management in the process of network engineering, realize the real-time measurement of the network system, and reduce the risk of the network engineering process.
Challenges of Integrating Agile and UX/UCD: Systematic Literature Review

The integration of Agile development with User Experience (UX) and with User-Centered Design (UCD) grabs IT companies' attention and has become one of the most significant topics in the last few years.In agile UX/UCD processes, the software development process is positively impacted.This systematic review of the challenges of integrating Agile with UX/UCD is provided here to assist other researchers in identifying the recent major challenges associated with Agile and UX/UCD.In addition, this review covers articles available in five research databases.Based on the search strategy, 70 studies were identified relevant to the scope from 2001 to 2021.The findings of this review provide insight into the research area of Agile UX/UCD and offer future research directions.
Embodied Calligraphy Learning through Direct Kinesthetic Feedback

Crafts such as writing calligraphy require not only arduous practices to achieve mastery but also emphasize an individual’s expression through the practice. Calligraphy learning traditionally involves observing and copying expert manuscripts where learners obtain muscle control through repetitive practices. Learners often rely on comparing the visual differences in the output and adjust until they have achieved similar results. We propose a system that engages a calligraphy learner or audience with an actuated brush that reflects the movement of the artist during writing. We describe the details of the design of the system and interaction scenarios, insights gathered from public showcases on aspects such as agency, and the next steps for constructing a movement database.
Demonstrating p5.fab: Direct Control of Digital Fabrication Machines from a Creative Coding Environment

Machine settings and tuning are critical for digital fabrication outcomes. However, exploring these parameters is non-trivial. We seek to enable exploration of the full design space of digital fabrication. To do so, we built p5.fab, a system for controlling digital fabrication machines from the creative coding environment p5.js and informed by a qualitative study of 3D printer maintenance practices. p5.fab prioritizes material exploration, fine-tuned control, and iteration in fabrication workflows. We demonstrate p5.fab with examples of 3D prints that cannot be made with traditional 3D printing software, including delicate bridging structures and prints on top of existing objects.
3. Subject Matter

This chapter is concerned with the subject matter, or types of creation, protected by copyright law as stipulated by the Copyright, Designs and Patents Act 1988. Eight categories of work are examined: literary works, dramatic works, musical works, artistic works, films, sound recordings, broadcasts, and published editions (or typographical works). The chapter considers the definitions of these categories of work in the case law and through the jurisprudence of the European Court of Justice. It discusses whether the list of works must be treated as an exhaustive list.
A System for Elderly Persons Behaviour Wireless Monitoring

This chapter contains a description of the measurement system intended for gathering data typically used for the evaluation of elderly person’s mobility and behaviour. The measurements are carried out with micro-electro-mechanical systems sensors employed in the mobile device worn by the monitored person. Results of measurements are sent over wireless link to recording nodes for analysis. This chapter describes system design and presents examples of recorded data. Proposals of system usage for mobility and behaviour investigation are also presented and discussed.
Face Detection and Tracking Framework for Video Processing

In this chapter we describe the face detection and tracking framework. Face detection is based on the combined cascade of neural network classifiers. A cascade of weak classifiers is used to localize the face structural features. Tracking is performed using a Kalman filter. The framework was experimentally explored on a test video sequence and adjusted to obtain the high processing speed.
Automated Content Moderation in a Brazilian Marketplace

Clarifying doubts can become decisive when shopping on e-commerces platforms. Considering the relevance of user generated content, this work aimed to develop an internal hybrid system, composed of machine learning models along-side a rule-based module, to moderate customers’ questions and sellers’ answers in one of the biggest marketplaces in Brazil.
A Multilevel Adaptive Path-Planning Model in Off-Road Environments

Most existing path-planning algorithms are applied in either trafficable environments or non-trafficable environments. Off-road vehicles (ORVs) are often faced with a mix of trafficable and non-trafficable environments. Therefore, trafficability should be considered in path planning for ORVs. Conventional ant colony algorithms (ACAs) are prone to stagnation and often fail to reach the optimal path. To address these problems, an improved ACA that considers trafficability was proposed in this study, which improved the pheromone distribution rules and adaptively adjusted the pheromone volatility coefficient. Based on this improved ACA, a multilevel adaptive path-planning model was proposed to solve path-planning problems with various scales of area. Experiments and comparative studies revealed that the improved ACA was applicable to path-planning problems in complex environments and achieved better performance and a higher computing efficiency than conventional counterparts.
DEEP LEARNING-ENABLED PREDICTION OF PREGNANCY BASED ON THE CHARACTERISTICS OF PATIENTS IN IVF-ET CYCLES

To develop a deep learning algorithm based on mutli-layer perceptron(MLP) trained by the the clinical data of patients. This deep learning model predicts possibility of pregnancy in IVF-ET cycles
Rancang Bangun AirMouse Menggunakan Sarung Tangan Bersensor Berbasis ESP32

Digital interactions are still commonly using indirect media such as mouse and keyboard to provide user input in the form of two-dimensional data. Therefore, to provide intuition in virtual interactions, it is possible to add media that can draw directly in the air or a flat surface that will track hand movements and overall finger position. In this research, we try to track hand movements in real time by capturing the position of the hand and finger curvature using a wearable sensor equipped with an Inertial Measurement Unit (IMU) sensor and a flex sensor installed by the user. Then the system will identify the position of the user's finger bending. and the location indicated by the sensors installed to move the cursor on the screen and simulate left-click and right-click hand movements as with a traditional mouse. By using this system, users can interact with the computer more naturally and get the accuracy of cursor movement with the accuracy of finger movement translation reaching more than 85% and the translation of hand movements to mouse cursor movements is on average 73% for shapes that use straight lines. and 23.4% on curved lines such as circles and other shapes.
Handling Missing Value dengan Pendekatan Regresi pada Dataset Akuakultur Berukuran Kecil

Shrimp cultivation is strongly influenced by pond water quality conditions. Farmers must know the appropriate action in regulating water quality that is suitable for shrimp survival. The state of water quality can be understood by measuring pond parameters using various sensors. Installing sensors equipped with artificial intelligence modules to inform water quality conditions is the right action. However, the sensor cannot be separated from errors, so it results in not being able to get data or missing data. In this case, the approach of 5 parameters of pond water quality from 13 available parameters is carried out. This paper proposes a technique to obtain lost data caused by sensor error and looks for the best model. A simple approach can be taken, such as the Handling Missing Value (HMV), which is commonly used, namely the mean, with the K-Nearest Neighbors (KNN) classifier optimized using a grid search. However, the accuracy of this technique is still low, reaching 0.739 at 20-fold cross-validation. Calculations were carried out with other methods to further improve the prediction accuracy. It was found that Linear Regression (LR) can increase accuracy up to 0.757, which outperforms different approaches such as the statistical approach to mean 0.739, mode 0.716, median 0.734, and regression approach KNN 0.742, Lasso 0.751, Passive Aggressive Regressor (PAR) 0.737, Support Vector Regression (SVR) 0.739, Kernel Ridge (KR) 0.731, and Stochastic Gradient Descent (SGD) 0.734.
Plug-and-play generation of non-Gaussian states of light at a telecom wavelength

In the context of emerging quantum technologies, this work marks an important progress towards practical quantum optical systems in the continuous variable regime. It shows the feasibility of experiments where non-Gaussian state generation entirely relies on plug-and-play components from guided-wave optics technologies. This strategy is successfully demonstrated with the heralded preparation of low amplitude Schrödinger cat states via single-photon subtraction from a squeezed vacuum. All stages of the experiment are based on off-the-shelf fiber components. This leads to a stable, compact, and easily re-configurable realization, fully compatible with existing fiber networks and, more in general, with future out-of-the-laboratory applications.
Basic Bayesian Model Checking

This chapter provides a brief guide to the assessment of critical features of Bayesian model construction. Checking and documenting such features facilitates evaluation of the models, rendering potential problems with assumptions, convergence, and inferential accuracy more transparent to the user.
INFORMATION WANTED: REI FELLOWSHIP WEBSITES DO NOT DELIVER

Reproductive Endocrinology and Infertility (REI) fellowship websites are often the primary information source for prospective fellows throughout their fellowship research and application process. We evaluated REI program websites for the comprehensiveness of their information as well as accessibility.
Ranking of Districts of Istanbul According to Earthquake Loss Estimates with Entropy and CoCoSo Integration

Istanbul is one of the most popular cities in the world with its location and historical buildings. However, it is one of the cities with the highest earthquake risk due to its proximity to fault lines, crowded population, and building density. To be prepared for an earthquake, it is important to understand and reduce the risk posed by an earthquake. Pre-disaster studies can provide the opportunity to keep the bad results at a minimum level. In this context, within the scope of the “Istanbul Province Probable Earthquake Loss Estimates Update Project (2019)”, done in cooperation with Istanbul Metropolitan Municipality and Boğaziçi University Kandilli Observatory Earthquake Research Institute, building damage, possible deaths and injuries, infrastructure damage, and temporary accommodation needs in districts and neighborhoods during a possible earthquake were analyzed and reported in booklets produced for each district. In this context, in this chapter, the aim was to rank the 39 districts of Istanbul from the least risky to the riskiest in a Mw 7.5 earthquake scenario considered within the scope of the project. Ranking of the districts was done using integration of entropy and combined compromise solution (CoCoSo) methods.
Philosophy and Education as Cultural Phenomena

The article analyzes the existential, gnoseological, and axiological dimensions of philosophy and education in the socio-cultural space. Cultural phenomena are positioned in several key manifestations: cognitive (as a result of sense experience), value (as a unique phenomenon), and being (as an element of civilization existence). The tasks of the article are to highlight the key philosophical and educational constants in modern humanitarian-scientific discourse. To achieve the objectives of scientific exploration was used general scientific (analysis, induction, deduction, systematization) and philosophical (synergetics, dialectics, phenomenology) methodologies, through which the essence of the phenomenon of philosophy and education in the system of culture are revealed, and the development of these areas of social activity is analyzed. The study was conducted based on an analysis of modern philosophical, educational and cultural ideas and theories. The scientific novelty of the study lies in the attempt to reconcile philosophical and educational theoretical-methodological and practically oriented precepts in a unified socio-cultural space. Consequently, the most effective format of coexistence of philosophy and education in the system of culture is considered to be a synergetic model, which provides interaction of these fundamental spheres of social activity.
Polar Codes

Polar code was invented by Prof. Erdal Arikan of Bilkent University in Turkey in 2008. So far, polar code is the only channel coding scheme that can reach Shannon’s limit, whereas all other coding schemes can just approach Shannon’s limit. Due to the relatively high complexity of its encoding and decoding, polar code did not get wide attention right after it was proposed. This chapter discusses how polar codes were first proposed. It uses the Bhattacharyya parameter for capacity analysis to explain the principle of polar codes. Polar code encoder is to select the suitable sub-channels for data, put frozen bits to bad sub-channels, and then perform logic operations. A polar code sequence is also called the determiner of good channels, e.g., to determine the bit indices for encoded bits before polar encoding. The systematic polar code can be considered as a special case of non-systematic polar code. It can be obtained by selecting appropriate bits as frozen bits.
A Meta-heuristic Algorithm for the Minimal High-Quality Feature Extraction of Online Reviews

Feature extraction and selection are critical in sentiment analysis (SA) to extract and select only the appropriate features by removing those deemed redundant. As such, the successful implementation of this process leads to better classification accuracy. Inevitably, selecting high-quality minimal features can be challenging given the inherent complication in dealing with over-fitting issues. Most of the current studies used a heuristic method to perform the classification process that will result in selecting and examining only a single feature subset, while ignoring the other subsets that might give better results. This study explored the effect of using the meta-heuristic method together with the ensemble classification method in the sentiment classification of online reviews. Adding to that point, the extraction and selection of relevant features used feature ranking, hyper-parameter optimization, crossover, and mutation, while the classification process utilized the ensemble classifier. The proposed method was tested on the polarity movie review dataset v2.0 and product review dataset (books, electronics, kitchen, and music). The test results indicated that the proposed method significantly improved the classification results by 94%, which far exceeded the existing method. Therefore, the proposed feature extraction and selection method can help in improving the performance of SA in online reviews and, at the same time, reduce the number of extracted features.
Pandemic performance: A Haunting of Haunts

During the COVID-19 pandemic that started in 2020, galleries, theatres, and performance venues closed in accordance with social distancing, lockdown, and confinement policies. Art practice, and in particular performance art, faced an existential crisis: adapt its form or cease to exist for audiences. To adapt, performance art adopted video on the internet as a means through which to perform posing immense challenges to its understanding of performance, liveness, and what is considered physical or ‘real’. As a response, I started to create a body of work employing the methodology of practice as research (PaR) during periods of confinement of the pandemic. Titled A Haunting of Haunts (2020–ongoing), the practice is designed to be situated within networks and is therefore classified as networked performance. The practice aims to enable artists to create performance under conditions of social distancing, lockdown, and confinement, to explore the idea of transposing performance from ‘real’ spaces to ‘virtual’ spaces, and to critique video as the dominant and largely accepted visual form employed in networked performance. This exposition proposes that while A Haunting of Haunts facilitates practice and assists in the development of a visual language specific to networks that consists of what are termed as networked images, thereby contributing to networked performance as a field of practice, it also highlights the hauntological condition of such a practice.
Performing the ecstasis: An interpretation of Katharine Norman’s Making Place for instrument/s and electronics

Katharine Normans’ work Making Place for instrument/s with live electronics (2013/16) combines recorded sounds, images, text, live interactive processing and instrumental music performance to create a unique experience of place. As the performer, I can choose a location, collect photographic images and recorded sounds, and interpret and re-create the score. The score is semi-improvisatory, consisting of many composed and freely pitched musical gestures which trigger text, visual animations and sound processing. This exposition traces the re-conceptualization, adaptation and performance of Making Place for alto flute. A multi-layered experimental methodology evolved that encompassed practice, discussion, description and reflection, with the performance itself forming the pivotal event, the epoché. To begin I share pre-performance thoughts – ideas of re-conceptualization and the construction of method. I follow with an account of pre-performance activities – the walk, collecting materials, transposing the music for alto flute, inserting new artefacts into the software, and rehearsals. Next come descriptions of the performance, and finally, I offer a reflective conclusion to the project. This project illuminated the quotidian through sound, image and text, transforming the everydayness of a walk along a disused railway track, turned walking/cycling track, in Victoria, Australia, into an extraordinary musical work, creating a shift from a knowing about to a knowing from within, from playing and doing to reflective awareness.
RemoconHanger: Making Head Rotation in Remote Person using the Hanger Reflex

For remote collaboration, it is essential to intuitively grasp the situation and spatial location. However, the difficulty in grasping information about the remote user’s orientation can hinder remote communication. For example, if a remote user turns his or her head to the right to operate a device on the right, and this sensation cannot be shared, the image sent by the remote user suddenly appears to flow laterally, and it will lose the positional relationship like Figure 1 (left). Therefore, we propose a device using the ”hanger reflex” to experience the sensation of head rotation intuitively. The ”hanger reflex” is a phenomenon in which the head turns unconsciously when a wire hanger is placed on the head. It has been verified that the sensation of turning is produced by the distribution of pressure exerted by a device worn on the head. This research aims to construct a mechanism to verify its effectiveness for telecommunication that can unconsciously experience the remote user’s rotation sensation using the hanger reflex phenomenon. An inertial measurement unit(IMU) grasps the remote user’s rotation information like Figure 1 (right).
Utilization of Lexical Proficiency Worksheets in Enhancing the Reading Comprehension of Senior High School Students

This experimental and descriptive study was conducted to enhance the reading comprehension of 177 Grade 11 HUMSS students of Tipas Integrated National High School through the utilization of Lexical Proficiency Worksheets (LPWs) designed and integrated with the Course Reading and Writing Skills given for eight weeks during the 3rd Quarter of the School Year 2021-2022. It is a quantitative type of research that used correlational design and purposive sampling techniques. It used pre and post-test, LPWs and perceptionnaire as research instruments. The study revealed that the pre-assessed level of comprehension skills among respondents before the LPWs’ utilization ranged from non-reader to independent level while the post-assessed level of comprehension skills among respondents ranged from frustration to independent level after the utilization of LPWs. The respondents perceived the quality of designed LPWs as very satisfactory in terms of objectives, content, format and language, usefulness, and satisfactory in terms of instructional delivery. The hypothesis stating that there is no significant difference between the pre and post-assessed level of reading comprehension before and after the utilization of LPWs is not supported. Additionally, the hypothesis stating that there is no significant relationship between the perceived quality of the designed LPWS and the respondents’ reading comprehension is not supported. The designed worksheets contributed a lot towards enhancing the lexical proficiency and comprehension skills of the learners. Keywords: Lexical Proficiency Worksheets, Lexical, Literal, Interpretive, Applied, Affective Comprehension Skill