Reviewerly/exHarmony huggingface dataset:
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification

Uncertainty quantification in neural networks gained a lot of attention in the past years. The most popular approaches, Bayesian neural networks (BNNs), Monte Carlo dropout, and deep ensembles have one thing in common: they are all based on some kind of mixture model. While the BNNs build infinite mixture models and are derived via variational inference, the latter two build finite mixtures trained with the maximum likelihood method. In this work we investigate the effect of training an infinite mixture distribution with the maximum likelihood method instead of variational inference. We find that the proposed objective leads to stochastic networks with an increased predictive variance, which improves uncertainty based identification of miss-classification and robustness against adversarial attacks in comparison to a standard BNN with equivalent network structure. The new model also displays higher entropy on out-of-distribution data.
Disparity-based HDR imaging

High-dynamic range imaging permits to extend the dynamic range of intensity values to get close to what the human eye is able to perceive. Although there has been a huge progress in the digital camera sensor range capacity, the need of capturing several exposures in order to reconstruct high-dynamic range values persist. In this paper, we present a study on how to acquire high-dynamic range values for multi-stereo images. In many papers, disparity has been used to register pixels of different images and guide the reconstruction. In this paper, we show the limitations of such approaches and propose heuristics as solutions to identified problematic cases.
Disruptive Integration of Digital Tools to Improve the Communicative Dimension in University Students in The Current Context

Education in current times has profound changes, at all levels and in all disciplines; in the case of universities, new elements and aspects to be considered in the teaching-learning process have been integrated; a fact that allows to empower the professional that society needs in the current context, maintaining the quality of higher education. The future professional requires substantially communication skills to access employment, work and entrepreneurship. The objective is to analyze how the disruptive integration of digital tools enhances the communicative dimension: ability to express, communicate and increase the technical vocabulary related to their specialty, identify the media and the way they use them to achieve their profile. The methodology used was descriptive - correlational, with a non-experimental observational design. The study sample consisted of 450 university students from the Social Sciences Area of the public university of the city of Ica, selected by probability sampling, to whom the questionnaire instrument was applied to evaluate the relationship of the variables under study. The result obtained shows a significant correlation at the 0.01 level, which allows determining the relationship between both variables.
Formulating Healing Jewellery using a Model of Designomics

Incorporate with designomics model, these jewelleries will assist in uplifting their mood, relax their overthinking mind and bring out their inner confidence. The objective of this research is to investigate the type of healing jewellery that can encourage positive behaviour with the usage of the healing stones and design aesthetics. Its aim to examine the properties of jewellery that affect minor depression and to produce signature jewellery of feel and heal for minor depression. This research will benefit psychiatrists, doctors, family members and jewellery designers and potentially benefit for individual with minor depression. Keywords: healing jewellery; jewellery design; designomics; gemstones eISSN: 2398-4287 © 2022. The Authors. Published for AMER ARA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7iSI7%20(Special%20Issue).3785
Gender Differences in Twitter Complaints

This study aimed to identify and compare the different strategies used by males and females in making complaints. Both genders adopt different strategies when making complaints. In this qualitative study, the content analysis method was adopted, and based on Trosborg's Theory of Complaint, complaints messages posted by 23 Twitter users were analyzed. The results showed that males perform dissatisfaction more frequently than females. However, females use blame strategy at a higher frequency than males. This research revealed a new perspective on gender differences and valuable insights influencing complaint-making strategies. Keywords: Complaints, Code-switching, Language Choice, Strategies eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7iSI7%20(Special%20Issue).3763
Positioning Ceramic Design Practices into Gallery-Based Creative Industries

Cognizant of the nature and need of a creative industries market. In ceramic, the diversity can be seen in the types of production and the scale of manufacture - from 'one-offs' to industrial manufacture. The scope and nature of arts incubators encompass the business-related knowledge, skills, and orientation needed by artists. The established methodologies for practice-based ceramic design research have led to the development of a realistic approach within this work which is both holistic and emergent. As result, a link between a practical philosophy of 'craft' practice and new approaches to the design highlighted a perception of the validity of 'craft' as a contemporary skill. Keywords: Ceramics; Design Practice; Creative Industries; Incubator. eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7iSI7%20(Special%20Issue).3794
Art throughout the Industrial Revolution and Art Framework for the Industrial Revolution 4.0

This review paper presents the scenario of the revolution in Malaysia. The industrial revolution has changed from Industrial Revolution 1.0 to Industrial Revolution 2.0, Industrial Revolution 3.0 and now its culmination of the Industrial Revolution 4.0. Several documents were reviewed to identify the dynamic framework of art within Industrial Revolution 4.0. With the art framework related is detailed with a component of the artist as co-creator, hybrid types of production and the attribute of a super bright society. Creative humans should refer to several key points to be more prepared, equipped and, realistic, coherent with society 5.0. Keywords: art framework, Industrial Revolution 4.0, society 5.0 eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7iSI7%20(Special%20Issue).3776
Importing Relationships into a Running Graph Database Using Parallel Processing

Importing relationships into a running graph database using multiple threads running concurrently is a difficult task, as multiple threads cannot write information to the same node at the same time. Here we present an algorithm in which relationships are sorted into bins, then imported such that no two threads ever access the same node concurrently. When this algorithm was implemented as a procedure to run on the Neo4j graph database, it reduced the time to import relationships by up to 69% when 32 threads were used.
A system for information extraction from scientific texts in Russian

In this paper, we present a system for information extraction from scientific texts in the Russian language. The system performs several tasks in an end-to-end manner: term recognition, extraction of relations between terms, and term linking with entities from the knowledge base. These tasks are extremely important for information retrieval, recommendation systems, and classification. The advantage of the implemented methods is that the system does not require a large amount of labeled data, which saves time and effort for data labeling and therefore can be applied in low- and mid-resource settings. The source code is publicly available and can be used for different research purposes.
Interpretable Locally Adaptive Nearest Neighbors

When training automated systems, it has been shown to be beneficial to adapt the representation of data by learning a problem-specific metric. This metric is global. We extend this idea and, for the widely used family of k nearest neighbors algorithms, develop a method that allows learning locally adaptive metrics. These local metrics not only improve performance but are naturally interpretable. To demonstrate important aspects of how our approach works, we conduct a number of experiments on synthetic data sets, and we show its usefulness on real-world benchmark data sets.
Teaching and learning objectives in distance learning of FFL for license level : statement of an experience and a proposal of an approach for a better hybrid teaching

Numéro spécial
Stereo Superpixel Segmentation Via Decoupled Dynamic Spatial-Embedding Fusion Network

Stereo superpixel segmentation aims at grouping the discretizing pixels into perceptual regions through left and right views more collaboratively and efficiently. Existing superpixel segmentation algorithms mostly utilize color and spatial features as input, which may impose strong constraints on spatial information while utilizing the disparity information in terms of stereo image pairs. To alleviate this issue, we propose a stereo superpixel segmentation method with a decoupling mechanism of spatial information in this work. To decouple stereo disparity information and spatial information, the spatial information is temporarily removed before fusing the features of stereo image pairs, and a decoupled stereo fusion module (DSFM) is proposed to handle the stereo features alignment as well as occlusion problems. Moreover, since the spatial information is vital to superpixel segmentation, we further design a dynamic spatiality embedding module (DSEM) to re-add spatial information, and the weights of spatial information will be adaptively adjusted through the dynamic fusion (DF) mechanism in DSEM for achieving a finer segmentation. Comprehensive experimental results demonstrate that our method can achieve the state-of-the-art performance on the KITTI2015 and Cityscapes datasets, and also verify the efficiency when applied in salient object detection on NJU2K dataset. The source code will be available publicly after paper is accepted.
Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs

Training deep neural networks consumes increasing computational resource shares in many compute centers. Often, a brute force approach to obtain hyperparameter values is employed. Our goal is (1) to enhance this by enabling second-order optimization methods with fewer hyperparameters for large-scale neural networks and (2) to perform a survey of the performance optimizers for specific tasks to suggest users the best one for their problem. We introduce a novel second-order optimization method that requires the effect of the Hessian on a vector only and avoids the huge cost of explicitly setting up the Hessian for large-scale networks. We compare the proposed second-order method with two state-of-the-art optimizers on five representative neural network problems, including regression and very deep networks from computer vision or variational autoencoders. For the largest setup, we efficiently parallelized the optimizers with Horovod and applied it to a 8 GPU NVIDIA P100 (DGX-1) machine.
Karate Video Reconstruction to Observe Player Motion and Flow of Competition

It is well known that sports skill learning for trainees is facilitated via video observation of the players' actions and the overall flow of competition on the playing field.A video zoomed in on a player's actions is suitable for learning the player's technical skills, and a video showing all the players on the competition court is suitable for learning tactical skills such as player formation.This study aims to establish a method that can make narrow field-of-view videos available for observing the player positioning throughout the competition court.This paper focuses on karate competition videos and proposes an image processing method that extracts the image of the player area from the video frame and superimposes it on a standard karate court model image.Before the superimposition, the court model image is homographically transformed to fit the court in the video image.Using this approach, a player-focused video is reconstructed as a video of the entire competition field.For the reconstruction, a vertex matching method is developed for homography matrix calculation, and another calculation method for homography matrix calculation using only two straight lines is also developed for images that lack vertex information.Finally, an experimental result shows that a karate player-focused video is transformed successfully into a video of the entire karate competition field.Future work will focus on experimentally verifying the effectiveness of the method for skill learning.
Review of Logic, Set Theory, and Isomorphism

The natural sciences are unavoidably a lead to incorporate numbers and, therefore, Mathematics. Mathematics, in turn, is based on the derivation or deduction of properties or propositions with respect to given objects or elements belonging to a given set. The process of derivation/deduction of properties/propositions is called logic. The general properties of elements and sets are called Set Theory. Two sets are considered isomorphic if one can establish a one-to-one relation between the two sets such that the corresponding operators and relations within each set are equivalent. In turn, real numbers can be defined and their general properties derived from the general properties of natural numbers through set theory and isomorphism. In this chapter, we will present basic elements of logic, set theory, and isomorphism that we will be applying in the study of real exponential, logarithmic, and trigonometric functions.
On some probability distributions, related to the classical Bernoulli scheme

For more than three centuries, the classical scheme of independent Bernoulli trials, starting with the work of Jacob Bernoulli, has been one of the most popular topics in probability theory. It is ideal for setting and solving various practical problems. Many results have been obtained related to modifications of this scheme, but new situations and new problems appear that require further progress in the study of various random variables associated to one degree or another with independent Bernoulli trials. Solutions to some of these problems are presented in this paper.
Tecnologías en la educación superior Tendencias para la nueva década

In this paper, the authors will talk about the development of technological platforms and tools that will support the creation and implementation of techno-pedagogical paradigms to tech the XXI Century generations. By proving how the innovative model of the open and distance learning universities (UNAD, for its Spanish acronym) is not run out and can be renewed, taking as an example the COVID-19 pandemic and analyzing the carriers that provide change to a new education, where the need of innovation in higher education in open and distance modalities is an urgent matter. Undoubtedly, learning is one of the human capacities that has most influenced their development and evolution. Thus, the e-education concept is presented as an effort to develop talents and human capacities using the Internet and new information and communication technologies (ICT). This will allow introducing a generalized remote mode, which will create a different culture adjusting the school curriculum to an online strategy, and not a rigid one, that involves technological improvements, so general and specialized knowledge are combined to the needs of scientific, technological, and social development. Teachers work with students differently and provide help through more knowledge and experience. Recent studies are showing that there are more open and online options for teacher professional development and teachers access the Internet to expand their development opportunities through social media platforms. In this sense, the non-attendance process of education has improved its relevance globally. Although, the COVID-19 pandemic caused an accelerator effect on the digital transformation of the educational institutions.
Fast Decoding of AG Codes

We present an efficient list decoding algorithm in the style of Guruswami-Sudan for algebraic geometry codes. Our decoder can decode any such code using $\tilde{\mathcal O}(s\ell^{\omega}\mu^{\omega-1}(n+g))$ operations in the underlying finite field, where $n$ is the code length, $g$ is the genus of the function field used to construct the code, $s$ is the multiplicity parameter, $\ell$ is the designed list size and $\mu$ is the smallest positive element in the Weierstrass semigroup at some chosen place; the "soft-O" notation $\tilde{\mathcal O}(\cdot)$ is similar to the "big-O" notation ${\mathcal O}(\cdot)$, but ignores logarithmic factors. For the interpolation step, which constitutes the computational bottleneck of our approach, we use known algorithms for univariate polynomial matrices, while the root-finding step is solved using existing algorithms for root-finding over univariate power series.
Group and Exclusive Sparse Regularization-based Continual Learning of CNNs

We present a regularization-based approach for continual learning (CL) of fixed capacity convolutional neural networks (CNN) that does not suffer from the problem of catastrophic forgetting when learning multiple tasks sequentially.This method referred to as Group and Exclusive Sparsity based Continual Learning (GESCL) avoids forgetting of previous tasks by ensuring the stability of the CNN via a stability regularization term, which prevents filters detected as important for past tasks to deviate too much when learning a new task.On top of that, GESCL makes the network plastic via a plasticity regularization term that leverage the over-parameterization of CNNs to efficiently sparsify the network and tunes unimportant filters making them relevant for future tasks.Doing so, GESCL deals with significantly less parameters and computation compared to CL approaches that either dynamically expand the network or memorize past tasks' data.Experiments on popular CL vision benchmarks show that GESCL leads to significant improvements over state-of-the-art method in terms of overall CL performance, as measured by classification accuracy as well as in terms of avoiding catastrophic forgetting.
Effect Of Use Of Flexible Transfemoral Prosthesis On Level Of Independence In Performing Daily Activities Of Transfemoral Amputee

Background: Transfemoral amputees experience many difficulties in carrying out daily activities. One of the devices that can be used in above-knee amputation patients is transfemoral prosthesis. The use of transfemoral prostheses in post-amputation patients can help with activities, one of which is independence in self-care, mobility, and locomotion.&#x0D; Methods: The study was conducted at PT Kuspito Orthotic Prosthetics and the time of the study was carried out in 2021. The population of this study was users of flexible prostheses at PT Kuspito Ortotik Prosthetic. The samples of this study were flexible prostheses users at PT. Kuspito prosthetic orthotic that meets the criteria as many as 30 users. The sampling technique was purposive sampling, inclusion criteria: subjects aged 17-35 years, subjects in good health, subjects using a flexible unilateral prosthesis, at least using an artificial leg for 1 month, having a strength value of 4, having normal Range Of Motion. Exclusion criteria: the subject had advanced disease, bilateral prosthesis user. The measuring instrument used was the Functional Independence Measure (FIM) questionnaire that is valid and reliable. &#x0D; Results: The value of Sig. is 0.000, there is a significant difference in the level of independence between the results of the pre-test and post-test. there is a significant difference in the results that using a flexible prosthesis can increase the level of independence in above-knee amputees in carrying out daily activities. &#x0D; Conclusion: The functional independence of above-knee amputation patients is strongly influenced by the use of a flexible prosthesis. It is recommended that above-knee amputation patients can use a flexible prosthesis to increase the level of independence.
Anggah-Ungguhing Basa Bali dalam Pembelajaran Drama di Kelas X SMK Negeri 3 Tabanan Tahun Pelajaran 2019/2020

The skill of speaking in Balinese is closely related to the learning material of anggah-ungguhing basa Bali or sor singgih basa Bali. The use of Balinese language in vocational high schools can be taught through learning Balinese drama. The problems in this study are (1) the use of Balinese language in teaching drama in Class X SMK (Vocational High School) Negeri 3 Tabanan in the 2019/2020 academic year, (2) the obstacles faced in the use of Balinese language teaching in drama learning in the Class X SMK Negeri 3 Tabanan for the academic year 2019/2020, and (3) the strategies used to increase the use of Balinese language in teaching drama in Class X SMK Negeri 3 Tabanan for the academic year 2019/2020. This study concludes that in learning drama, students can use all types of anggah-ungguhing basa Bali, but there are still some errors in their use. Constraints experienced by students in the use of anggah - ungguhing basa Bali in drama learning are the lack of mastery of Balinese alus vocabulary, difficulty understanding characters in traditional Balinese drama scripts, and online learning systems. Learning strategies that can be used by teachers of Balinese language subjects in an effort to improve student's ability to understand the use of Balinese anggah - ungguhing basa in drama learning are innovative learning strategies that are integrated with elements of 21st century learning. The innovative learning strategies that can be developed by teachers including designing innovative learning, implementing innovative learning models, and utilizing digital learning.