Reviewerly/exHarmony huggingface dataset:
A METÁTESE NA VARIEDADE DO INTERIOR PAULISTA

This work analyzes the phonetic-phonological phenomenon named metathesis in the variety spoken in the inland of São Paulo, more precisely in the Northwest of the state. Through this phenomenon, ancient in Portuguese, there is an inversion in the linear order of sounds such as sa.tis.fa.ção ~ sas.ti.fa.ção (‘satisfaction’). Based on the assumptions of the Linguistic Variation and Change Theory (LABOV, 2008), 48 interviews from the IBORUNA database (Projeto Amostra Linguística do Interior Paulista – ALIP – [Linguistic Sample from Inland of São Paulo] GONÇALVES, 2021 [2007]), were investigated in order to verify possible linguistic and extralinguistic conditioners that motivate the phenomenon. As a result, 18 metathesis occurrences were found. Of these cases, 11 were progressive metathesis, six regressive and one reciprocal. It was also observed that most of the occurrences involve /r/ and are classified as perceptual metathesis. In respect of extralinguistic variables, the phenomenon is more frequent in the speech of masculine sex/gender (72% of the cases); in the age group older than 55 years old; and level of education of the second cycle of Elementary Education, which seems to provide evidence of social stigma.
Recursos Humanos frente às exigências contemporâneas de mudanças no ambiente de trabalho / Human Resources in view of the contemporary demands of changes in the work environment

Resumo: Este artigo busca entender a área administrativa dos Recursos Humanos (RH) e as exigências do uso de home office no ambiente do trabalho frente às mudanças resultantes da pandemia do Covid-19. O principal objetivo é analisar os benefícios e os desafios da adoção do home office sob a perspectiva de profissionais do departamento de Recursos Humanos mediante as mudanças que impulsionaram este trabalho nas empresas. O estudo partiu dos seguintes questionamentos: quais os principais impactos da pandemia do Covid-19 na gestão de Recursos Humanos? Como as empresas se adaptaram às mudanças impostas? A metodologia escolhida para responder essas questões foi uma pesquisa bibliográfica, foram identificadas realizada em dez publicações de maior relevância ao tema, através de artigos publicados no período de 2020 e 2021. A linha de pesquisa resultou na conclusão que durante a pandemia da Covid-19, uma das áreas que mais sofreu impacto foi a do trabalho, contudo, apesar das barreiras, o trabalho em home office foi absorvido nas empresas impulsionando a área de Recursos Humanos no sentido de modificar seus processos de gestão de pessoas. Palavras-chave: Empresas. Pandemia. Recursos humanos. Home office. Abstract: This article seeks to understand the administrative area of Human Resources (HR) and the requirements of the use of home office in the work environment in view of the changes resulting from the Covid-19 pandemic. The main objective is to analyze the benefits and challenges of adopting the home office from the perspective of professionals in the Human Resources department through the changes that drove this work in companies. The study was based on the following questions: what are the main impacts of the Covid-19 pandemic on Human Resources management? How have companies adapted to the imposed changes? The methodology chosen to answer these questions was a literature search, which were identified in ten publications of greater relevance to the topic, through articles published in the period 2020 and 2021. The line of research resulted in the conclusion that during the Covid-19 pandemic , one of the areas that suffered the most impact was work, however, despite the barriers, home office work was absorbed in the companies, boosting the Human Resources area in order to modify its people management processes. Keywords: Companies. Pandemic. Human Resources. Home office.
Investigating lexical effects in syntax with regularized regression (Lasso).

Within usage-based theory, notably in construction grammar though also elsewhere, the role of the lexicon and of lexically-specific patterns in morphosyntax is well recognized. The methodology, however, is not always sufficiently suited to get at the details, as lexical effects are difficult to study under what are currently the standard methods for investigating grammar empirically. In this short article, we propose a method from machine learning: regularized regression (Lasso) with k-fold cross-validation, and compare its performance with a Distinctive Collexeme Analysis.
Telaah Kesalahan Penggunaan Kalimat Efektif pada Karangan Eksposisi Siswa Kelas V SDN Kebon Dalem

The skill of writing expository essays can be used as a medium to improve the use of good and appropriate language for elementary school students. This study describes errors in using effective sentences in exposition essays in the fifth grade of Kebon Dalem State Elementary School, which consists of using effective sentence structures, Subject-Verb-Object-Adverb form (SPOK) conjunctions, and punctuation marks. This study used a qualitative approach with a qualitative descriptive method. The subject of this research is the fifth grade of Kebon Dalem State Elementary School, with as many as seventeen students. The research instrument was used in the form of interviews and written documents in student expositions essays. The results showed that the student’s exposition essay writing was good because it was seen from the mistakes that students did not make. Disposition errors in the use of effective sentence as a whole: there are five higher errors in effective sentence structures, including SPOK, three higher errors in the use of conjunctions, and five higher errors in punctuation marks. The errors were assessed slightly because each student wrote three paragraphs and ten to twelve sentences. It shows that the types of mistakes in using effective sentences made by students in expository essays are still very diverse.
ON SPECTRA OF TERMINAL D-DISTANCE MATRIX OF SOME CLASS OF GRAPHS

In this paper we consider simple graphs, all the vertices with degree one are known as pendent vertices or terminal vertices of a graph. For two terminals vertices  of a graph G  D-distance is addition of the distance between  and the sum of degrees of all the vertices of path , including degrees of . This paper consists of definition of terminal D-distance matrix and computation of terminal D-distance energy of few class of graphs. Bounds on Terminal-D-distance energy are also established.
The Impacts of Technology-based Communication on EFL Students’ Writing

Digital techniques play a significant role in stimulating EFL students’ collaboration during the Covid-19 pandemic. The shift from face-to-face interaction to technology-based communication is regarded to foster language learning, especially writing classes. An action research design was employed to explore the influences of technology-based communication on either students' writing performances or their perceptions towards the new teaching method application. Data triangulation analyzed from three types of collecting instruments in terms of testing, questionnaire, and reflective journal indicates that the integration of Paragraph Punch, ProWritingAid, and LMS web-based platform boosts a more collaborative learning environment among online-engaging participants. The calculated mean scores indicated there was a decrease in students' difficulties regarding cognitive, emotional, and socio-cultural aspects after the intervention. Besides, it was respectively measured a potential trend on online collaborative group's writing performance concerning the task response, coherence & cohesion or the idea for writing development. Nevertheless, there was no significance in promoting students' lexical resources plus grammatical range and accuracy. The results also conveyed participants’ optimistic feelings on technology-based communication, their higher self-confidence in accordance with positive attitudes towards writing lessons thanks to their awareness of their promoting critical thinking as well as error identification.
Exploring Auditive Story Worlds : Design Sensitivities for Multi-linear Real Time, Mixed Reality, Interactive Storytelling Systems

Like reading a book, stories told orally or acted out auditory invite subjective co-construction of narrative events through imagination. While an interesting characteristic, audio-based, fictive s ...
Misalignment problem in matrix decomposition with missing values

Data collection within a real-world environment may be compromised by several factors such as data-logger malfunctions and communication errors, during which no data is collected. As a consequence, appropriate tools are required to handle the missing values when analysing and processing such data. This problem is often tackled via matrix decomposition. While it has been successfully applied in a wide range of applications, in this work we report an issue that has been neglected in literature and “degenerates” the quality of the imputations obtained by matrix decomposition in multivariate time-series (with smooth evolution). Briefly, the problem consists of the misalignment of the matrix decomposition result: the missing values imputations fall within an incorrect range of values and the transitions between observed and imputed values are not smooth. We address this problem by proposing a postprocessing alignment strategy. According to our experiments, the post-processing adjustment substantially improves the accuracy of the imputations (when the misalignment occurs). Moreover, the results also suggest that the misalignment occurs mostly when dealing with a small number of time-series due to lack of generalisation ability.
RÚV-DI Speaker Diarization (2021-10-14)

These are a set of speaker diarization recipes which depend on the speech toolkit Kaldi. There are two types of recipes here. First are recipes used for decoding unseen audio. The second type of recipes are for training diarization models on the Ruv-di data. This tool also lists the DER for the Ruv-di dataset on most of the recipes. All DERs within this tool have no unscored collars and include overlapping speechÞessi pakki inniheldur forskirftir fyrir samraeðugreind fyrir hugbunaðarumhverfið Kaldi. Pakkinn inniheldur tvaer tegundir af forskirftum. Annars vegar forskriftir sem greina samraeður i nýjum hljoðskram og hins vegar forskriftir til að þjalfa ný samraeðugreindarlikon með Ruv-di gagnasafninu. Hluti forskriftanna innihalda villutiðni (DER) fyrir Ruv-di gagnasettið.
Nested Named Entity Recognition for Chinese Electronic Health Records with QA-based Sequence Labeling.

This study presents a novel QA-based sequence labeling (QASL) approach to naturally tackle both flat and nested Named Entity Recogntion (NER) tasks on a Chinese Electronic Health Records (CEHRs) dataset. This proposed QASL approach parallelly asks a corresponding natural language question for each specific named entity type, and then identifies those associated NEs of the same specified type with the BIO tagging scheme. The associated nested NEs are then formed by overlapping the results of various types. In comparison with those pure sequence-labeling (SL) approaches, since the given question includes significant prior knowledge about the specified entity type and the capability of extracting NEs with different types, the performance for nested NER task is thus improved, obtaining 90.70% of F1-score. Besides, in comparison with the pure QA-based approach, our proposed approach retains the SL features, which could extract multiple NEs with the same types without knowing the exact number of NEs in the same passage in advance. Eventually, experiments on our CEHR dataset demonstrate that QASL-based models greatly outperform the SL-based models by 6.12% to 7.14% of F1-score.
Investigating the overhead of the REST protocol to reveal the potential for using cloud services for HPC storage

With the significant advances in Cloud Computing, it is inevitable to explore the usage of Cloud technology in HPC workflows. While many Cloud vendors offer to move complete HPC workloads into the Cloud, this is limited by the massive demand of computing power alongside storage resources typically required by I/O intensive HPC applications. It is widely believed that HPC hardware and software protocols like MPI yield superior performance and lower resource consumption compared to the HTTP transfer protocol used by RESTful Web Services that are prominent in Cloud execution and Cloud storage. With the advent of enhanced versions of HTTP, it is time to reevaluate the effective usage of cloud-based storage in HPC and their ability to cope with various types of data-intensive workloads. In this paper, we investigate the overhead of the REST protocol via HTTP compared to the HPC-native communication protocol MPI when storing and retrieving objects. Albeit we compare the MPI for a communication use case, we can still evaluate the impact of data communication and, therewith, the efficiency of data transfer for data access patterns. We accomplish this by modeling the impact of data transfer using measurable performance metrics. Hence, our contribution is the creation of a performance model based on hardware counters that provide an analytical representation of data transfer over current and future protocols. We validate this model by comparing the results obtained for REST and MPI on two different cluster systems, one equipped with Infiniband and one with Gigabit Ethernet. The evaluation shows that REST can be a viable, performant, and resource-efficient solution, in particular for accessing large files.
THE IMPACT OF THE COVID'19 PANDEMIC ON STUDENTS STUDENTS AT THE NATIONAL UNIVERSITY "LVIV POLYTECHNIC"

Today, in the era of the Covid’19 pandemic, people need to plan their future taking into account the specifics of new relationships - the new specifics of communications, work organization, and so on. Each industry has both common problems and its own specifics. This paper examines the specifics of the education sector (higher education in Ukraine) in the field of information technology. In particular, the influence of distance learning on job search and possible change of priorities that may have arisen during distance learning and distance communication with classmates is studied. The research is based on a survey of 3rd year computer science students at NU LP. The survey contains 15 questions, grouped into three subgroups: subjective feeling of the learning process, subjective feeling of choosing a profession, subjective feeling of Internet security. The survey was conducted in the target group of the most active part of society. The answers in the study group show the level of student satisfaction with the learning process and confidence in the quality of learning. Answers in the group: employment indicates the level of how the market sees the prospects of studying in the specialty of computer science. Answers in the group cyber security The attitude of young people (computer science students) to the provision of cyber communication at the state level. No research has been conducted on the provision of the Internet at the university level. The results of the work are visualized and presented both in graphs and in absolute and relative values. The study can assess the level of resilience of computer science specialties to the problems caused by the pandemic, including distance learning and distance work in IT firms. To enhance the results, the dynamics of recruitment of applicants over several years was analyzed. In the report for 2021, we see that the number of freshmen has increased in ICNI, this year received 1,130 students. 100% of the surveyed students who worked during the pandemic in the private IT sector of information technology worked remotely and received a full salary, which also shows the resistance of the specialty to the challenges of the pandemic (this mode reduces risks and the spread of risks).
Segmentation of Squamous Columnar Junction on VIA Images using U-Net Architecture

Cervical cancer is the second most common cancer that affects women, especially in developing countries including Indonesia. Cervical cancer is a type of cancer found in the cervix, precisely in the squamous columnar junction (SCJ). Early screening for cervical cancer can be reduce the risk of cervical cancer. One of the popular screening tool methods for the detection of cervical pre-cancer is the Visual Inspection with Acetic Acid (VIA) method. This is due to the level of effectiveness, convenience and low cost. This paper proposes a method for the detection and segmentation of the SCJ region on VIA images using U-Net. This study is the first research conducted using the CNN method to perform segmentation tasks in the SCJ region. The best performance results are shown from the Pixel Accuracy, Mean IoU, Mean Accuracy, Dice coefficient, Precision and Sensitivity values, namely 90.86%, 56.5%, 75.69%, 34.09%, 41.24%, and 56.91%.&#x0D; Keywords: Cervical Pre-cancer, Screening VIA, SCJ, U-Net.
Interaction Rituals Performed by Fans Using New Media in China Against the Background of the “Internet+”

In the context of the increasing openness of the Internet and the sharing of information, various fan communities on the Internet are nourished by idol culture and have come into being. Many fans gather on social media because of their shared love for a person, and jointly build online fan communities based on “fan sites”. Interaction rituals are very common within Internet fan communities, such as daily ranking for idols, meet-ups, and gatherings to listen and discuss electronic albums that their idols newly released. Fans can obtain emotional energy from these rituals. Long-lasting high emotional energy can encourage fans to participate in interaction rituals related to their idols for a long time; frequent low emotional energy will cause fans to unfollow the idol. This paper attempts to systematically examine how the interaction ritual chain gathers the power of fan communities as the development of the fan community matures, and how Internet fans obtain emotional energy through online interaction rituals. In this way, this paper will evince a clear understanding of the psychology and behavior of fans using new media.
Chapter 5. Staff Use of Mobile

Chapter 5 of Library Technology Reports (vol. 57, no. 2), “Mobile Technology in Libraries,” covers how mobile technology and tools can benefit library staff. This chapter includes providing smartphones and tablets for staff, using mobile devices for outside library events, using mobile devices for video and social media, creating a photo booth for customers, and using tablets as digital signage, catalog kiosks, and exhibit accessories. Staff-focused mobile apps are also discussed.
A fork in the road: Perspectives on sustainability and decentralised governance in digital institutions

A digital institution is a set of computer-based rules that perform intermediating roles upon which one or more person’s well-being depends. This article argues that governance, the processes and customs by which rules are agreed, is critical to the sustainability of the digital institution and therefore of society more broadly. The objective of this work was to interrogate whether emerging decentralised architectures (blockchain) can offer new perspectives on digital sustainability in the form of decentralised governance. Firstly, the literature on decentralised modes of governance was synthesised. Then, existing digital institutions were reviewed, categorised and mapped onto a multi-domain layered conceptual framework that draws out three distinct modes for enactment of changes to digital institution rules; direct, integrated, and fork-based. We concluded that the coupling of decentralised governance approaches with fork-based or integrated enactment stands to enhance digital sustainability through increased perception of trustworthiness afforded through independently verifiable and cryptographically secure audit trails.
Intellectual Capital Dimension Important Measurement in Industrial Project

The knowledge available in the organization has become a competitive advantage that distinguishes it from other industrial organizations, and the knowledge is represented by the availability of individuals who have information, stored knowledge, and different technologies. The grace of reason and through it thinking is now the most powerful and influential weapon most objective to determine the progress of societies, countries and industrial organizations, so most countries and industrial organizations have worked to take advantage of these capabilities that humans enjoy by investing in it, which leads to obtaining several benefits. The dimensions of intellectual capital management in industrial organizations, or what are called the main areas of their work, are determined to (strategic leadership in industrial organizations, planning intellectual capital, owning, developing, and retaining talent, the organizational culture of industrial organizations geared to results). From the above, the research problem can be formulated in a major question: Which of these four dimensions is the most important dimension, and what is the arrangement of dimensions in terms of importance? The aim of the research is to shed light on the intellectual capital and depend on a clear of a researcher with the aims that it seek to achieves, a descriptive analytical approach has been use, and a research has reaches the sets of result, a most impertinent of which: that after a strategic leadership of a educational institution achieved higher importance in terms of averages followed by the dimension Regarding the organizational culture of industrial organizations, in light of the research results, it is recommended to carry out a broader comprehensive survey of all members of the industrial organization and classify the members according to the affiliation in order to find the differences in the philosophical concept of the importance of removing intellectual capital.
Deterministic Distributed Algorithms and Lower Bounds in the Hybrid Model.

The $\hybrid$ model was recently introduced by Augustine et al. \cite{DBLP:conf/soda/AugustineHKSS20} in order to characterize from an algorithmic standpoint the capabilities of networks which combine multiple communication modes. Concretely, it is assumed that the standard $\local$ model of distributed computing is enhanced with the feature of all-to-all communication, but with very limited bandwidth, captured by the node-capacitated clique ($\ncc$). In this work we provide several new insights on the power of hybrid networks for fundamental problems in distributed algorithms. First, we present a deterministic algorithm which solves any problem on a sparse $n$-node graph in $\widetilde{\mathcal{O}}(\sqrt{n})$ rounds of $\hybrid$. We combine this primitive with several sparsification techniques to obtain efficient distributed algorithms for general graphs. Most notably, for the all-pairs shortest paths problem we give deterministic $(1 + \epsilon)$- and $\log n/\log \log n$-approximate algorithms for unweighted and weighted graphs respectively with round complexity $\widetilde{\mathcal{O}}(\sqrt{n})$ in $\hybrid$, closely matching the performance of the state of the art randomized algorithm of Kuhn and Schneider \cite{10.1145/3382734.3405719}. Moreover, we make a connection with the Ghaffari-Haeupler framework of low-congestion shortcuts \cite{DBLP:conf/soda/GhaffariH16}, leading -- among others -- to a $(1 + \epsilon)$-approximate algorithm for Min-Cut after $\log^{\mathcal{O}(1)}n$ rounds, with high probability, even if we restrict local edges to transfer $\mathcal{O}(\log n)$-bits per round. Finally, we prove via a reduction from the set disjointness problem that $\widetilde{\Omega}(n^{1/3})$ rounds are required to determine the radius of an unweighted graph, as well as a $(3/2 - \epsilon)$-approximation for weighted graphs.