Articulation Process Research Articles

Carrusel Colaborativo: Grupo Nutresa

By the year 2005, the meat business sector formed by “Rica Rondo S.A.”, “Industria Nacional de Alimentos S.A.”, “Suizo S.A.”,” Zenú S.A.”, and “Almacenes La 14 S.A.” started a new strategic alliance aiming to increase their supply chain efficiency, a strategy they named “Collaborative Carousel”. Their main goal was to improve delivery times, reception and assortment of of brands such as: “Zenú”, “Rica Rondo”, and “Suizo” in the ten “Alma - cenes La 14 S.A.” stores, looking forward to ensure the best service for the final consumer. The result of this experience helped generate a collective knowledged, which allowed everyone to identify improvement opportunities in their logistics operations. This article presents a success story based on the application of the principle of collaboration in last mile processes. The methodology used corresponds to the narrative case method, presents the business evolution of several businesses, accounts for the success of the collaborative carousel type articulation process (step by step), which links resources, actors, interests, culture, and results.

La educación un proceso articulador de diversas ciencias y ramas del conocimiento

Abstract The logical historical process followed by education up to our days, shows not to have the level of science; pedagogues, theoreticians, philosophers, epistemologists imprecise boundaries with the other branches of knowledge. The problem manifests itself when we try to clarify: how to base its scientificity or its evident articulating process that favors formative qualities of people, its main objective is to base articulations and relational integration of diverse disciplines favoring permanent humanization. Hypothetically, it configures a Dialectical, Holistic, Systemic, Complex epistemic model (DIAHOLSIC), based on the theories: dialectic, holistic configurational, systemic, complex; it assumes intradisciplinary, pluridisciplinary, interdisciplinary, interdisciplinary, transdisciplinary, multidisciplinary, multidimensional approaches, allowing to explain, demonstrate, delineate, clarify, sustain; establishing epistemological principles to consider it a bridge between diverse scientific disciplines, fields of knowledge, influencing human formation, creation, cultural transmission, humanization, communication, social coexistence; it accepts theoretical – practical contributions always using them to last until imperishable confines. It is fundamental, as an integral formation of individuals, making them capable of reasoning, developing independent thinking, enriching and improving; it perfects existing educational experiences placed at the service of students. Keywords: Education, articulation process, sciences and branches of knowledge.

Strategies For Support Based on The Articulation of Secondary and Higher Education in Accordance with Educational Gaps

The development of an articulation process from the point of view of secondary education and how it is articulated with higher education generates new management models that shows that the applied point recognizes the case of the school Institución Educativa Distrital El Rodeo, hereinafter (I.E.D.) with the student population of the eleventh grade, it is sought to respond to What importance has the directive management in the processes of articulation of secondary education with higher education to facilitate the continuous improvement of the educational quality? In order to develop this problem, the processes of directive management are analyzed, under the analysis of the research that will allow visualizing the antecedents, which have been previously worked in favor of the strengthening of the educational quality from the articulation in secondary education. The methodological approach that was applied to address this qualitative approach and the instrument applied was through questionnaires applied to eleventh grade students and teachers who guided the subjects in the middle school stage, the value of the findings recognizes the importance of articulating education with the productive sectors and regional development.

The Role Of English Consonants In Language Development : Acquisition And Articulation

This article examines the crucial role of English consonants in the language development of individuals, focusing on their acquisition and articulation processes. It explores how children acquire and master consonants in the English language, highlighting the significant milestones in their articulation development. The acquisition of English consonants plays a pivotal role in the overall language development of children. It involves the gradual learning of phonetic distinctions and the ability to produce and perceive consonant sounds accurately. This article discusses the various stages of consonant acquisition, starting from early babbling to the development of a more sophisticated consonant inventory. Articulation, the physical production of speech sounds, is a key component of consonant acquisition. The article emphasizes the importance of clear articulation for effective communication. It delves into the challenges that learners may encounter during the articulation process, such as difficulty in producing specific consonant sounds or mastering complex sound combinations. Furthermore, the article highlights the connection between consonant acquisition and vocabulary development. Adequate mastery of consonants enables learners to pronounce words correctly, enhancing their overall language proficiency and communication skills. Understanding the role of English consonants in language development is crucial for educators, parents, and speech-language pathologists. By gaining insights into the acquisition and articulation of consonant sounds, stakeholders can provide appropriate guidance and support to facilitate language learning and address any potential difficulties that learners may encounter. Overall, this article emphasizes the significance of English consonants in language development, emphasizing their role in acquisition, articulation, and vocabulary expansion.

E2E-DASR: End-to-end deep learning-based dysarthric automatic speech recognition

Dysarthria is a motor speech disability caused by weak muscles and organs involved in the articulation process, thereby affecting the speech intelligibility of individuals. Because this condition is linked to physical exhaustion disabilities, individuals not only have communication difficulties, but also have difficulty interacting with digital devices. Automatic speech recognition (ASR) makes an important difference for individuals with dysarthria since modern digital devices offer a better interaction medium that enables them to interact with their community and computers. Still, the performance of ASR technologies is poor in recognizing dysarthric speech, particularly for acute dysarthria. Multiple challenges, including dysarthric phoneme inaccuracy and labeling imperfection, are facing dysarthric ASR technologies. This paper proposes a spatio-temporal dysarthric ASR (DASR) system using Spatial Convolutional Neural Network (SCNN) and Multi-Head Attention Transformer (MHAT) to visually extract the speech features, and DASR learns the shapes of phonemes pronounced by dysarthric individuals. This visual DASR feature modeling eliminates phoneme-related challenges. The UA-Speech database is utilized in this paper, including different speakers with different speech intelligibility levels. However, because the proportion of usable speech data to the number of distinctive classes in the UA-speech database was small, the proposed DASR system leverages transfer learning to generate synthetic leverage and visuals. In benchmarking with other DASRs examined in this study, the proposed DASR system outperformed and improved the recognition accuracy for 20.72% of the UA-Speech database. The largest improvements were achieved for very-low (25.75%) and low intelligibility (33.67%).

IDENTIDADE PROFISSIONAL BIOGRÁFICA E RELACIONAL DA ENFERMEIRA GESTORA

ABSTRACT Objective: to know and understand the perceptions and meanings attributed to the biographical and relational identity of being a nurse by the social group that acted as director of the Department and Division of Nursing of the University Hospital of the University of São Paulo. Method: social-historical study with a qualitative approach. Data collection occurred between March and November 2017. The theory of Claude Dubar was used as a theoretical reference. Eleven interviews were conducted, which were analyzed by the technique of Discourse Analysis. Results: two categories emerged. The first highlighted the articulation process, the practice of care, and the Teaching-Assistance Integration program, and addressed aspects related to power and the model-reference. The second listed the role of the teacher/manager and emphasized issues related to recognition and respect. Conclusion: this study may contribute to the recognition and visibility of the Nursing area, especially in the field of assistance, management, and teaching.

Immersive Multi-Screen Journalistic Narratives

To build representations and meanings, telejournalism in the context of transmediation has relied on the interrelation of different languages, adapting itself according to the emergence of resources and interfaces. In this context, one can cite the exploration of 360-degree audiovisual narratives, an emerging image modality used by the press as a mechanism to bring spectators closer to events. In Brazil, 360-degree journalistic productions made by communication companies, in general, go beyond the television space and are also explored in virtual social networks and websites to instigate the participation of the enunciatee through access to interactivity resources. The present investigation focuses on this articulation process between TV and the Internet, intending to point out reflections on the language of 360-degree audiovisual content in journalism, proposing to analyze discursive strategies and technical specificities of productions disseminated through television support and the online environment. To this end, the series of 360-degree reports “O Vírus na Favela” was examined, launched in 2020 by the program Balanço Geral RJ (Record TV Rio - Brazil) and which sought to portray challenges faced by residents of communities in Rio de Janeiro during the COVID-19 pandemic. This exploratory study is guided by a methodological path formed by a bibliographic survey, based on discussions such as telejournalism, interactivity and 360-degree narratives, and on the analysis of the corpus based on three principles of French semiotics presented by Barros (2005, 85): “narrative syntax,” “discursive syntax” and “discursive semantics.” In addition, the semiotic analysis method for 360-degree films developed by Moreira (2020) was applied. In conclusion, it can be recognized that the analyzed series evidences the enunciators' search to follow the contemporary trend of telling stories in more than one media support, as well as creating interactivity with the viewer. Also, it was observed that TV productions have a hybrid proposal based on several languages, such as graphic elements, conventional videos and 360-degree videos. On the other hand, web content, in part, is configured as interactive versions of 360-degree videos shown on TV. Such evidence may signify that television content producers see this image as an accessory innovation in the composition of traditional reports.

Soft Law Behind the Scenes: Transparency, Participation and the European Union’s Soft Law Making Process in the Field of Climate Change

AbstractThe global climate crisis poses many risks; for instance, relating to the environment, to the economy and to public health. The mitigation and management of such risks create a complex and multifaceted regulatory conundrum that requires quick, flexible, efficient and adaptive policy solutions that transcend the state level. A quick look in the body of regulatory instruments employed in the field of climate change policy will reveal that soft law is used very frequently by the European Commission to aid with the application, transposition and interpretation of European Union (EU) environmental legislation relating to climate change. While soft law has become ever more prominent in the EU legal order and has been studied extensively at the ex-post phase (ie concerning its effects or effectiveness), little academic attention has been paid to the process of soft law-making. In simple terms, we know very little about how soft law instruments are made. This article peeks behind the scenes of soft law and examines the transparency and participation credentials of the articulation process of Commission Guidance Documents in the field of climate change regulation adopted under key legal acts in the field.

Numerical investigation of effects of tongue articulation and velopharyngeal closure on the production of sibilant [s

A numerical simulation of sibilant /s/ production with the realistically moving vocal tract was conducted to investigate the flow and acoustic characteristics during the articulation process of velopharyngeal closure and tongue movement. The articulation process was simulated from the end of /u/ to the middle of /s/ in the Japanese word /usui/, including the tongue elevation and the velopharyngeal valve closure. The time-dependent vocal tract geometry was reconstructed from the computed tomography scan. The moving immersed boundary method with the hierarchical structure grid was adopted to approach the complex geometry of the human speech organs. The acoustic characteristics during the co-articulation process were observed and consistent with the acoustic measurement for the subject of the scan. The further simulations with the different closing speeds of the velopharyngeal closure showed that the far-field sound during the co-articulation process was amplified with the slower closing case, and the velum closure speed was inverse proportional to the sound amplitude with the slope value of − 35.3 dB s/m. This indicates possible phonation of indistinguishable aeroacoustics sound between /u/ and /s/ with slower velopharyngeal closure.

Dialita: Collective memories of former women political prisoners during the New Order era in Java, 2000–2011

This article studies how the experiences of former women political prisoners in the New Order era of Indonesia have been recollected to reproduce identity. In 1979, these women were returned to their community after a rehabilitation period of nearly 10 years. The public, which could not accept their past, attached a lingering stigma to them and continually rejected them. This article attempts to uncover the process of memory articulation and the context in which these women sought to reproduce their identity through Dialita (Di Atas Lima Puluh Tahun, Above 50 Years Old), a choir group consisting of former women political prisoners and their relatives. Dialita positioned itself as a medium for cultural reconciliation that aimed to alter public perception of the women’s identity and reposition them in the country’s collective memory. This is how the politics of memory work in Indonesian society, where the government has the power to decide which memories should be remembered and which should be forgotten. Dialita brought almost forgotten songs back to life because its members were not allowed to write songs while being imprisoned at correctional facilities in Bukit Duri, Plantungan, Salemba and Ambarawa. Interviews and textual interpretation have allowed us to delve deeper into the lives of these former women political prisoners, who were positioned as the main actors of a past historical event and encouraged to articulate their memories by reproducing songs as a part of their identity reproduction. The articulation process and the re-interpretation of the past helped the women shape their sense of self and, more importantly, to alter the way the public remembers the events of 1965.

A Curriculum-Based Approach to Learning Trajectories in Middle School Algebra

Our aim is to contribute to the body of research on learning trajectories (LTs) in mathematics by making visible a process for articulating a hypothetical learning trajectory implicit in a widely adopted, reform-based, middle-grades mathematics curriculum. In doing so, we highlight considerations, decisions, and challenges we faced as part of this work. By describing our LT articulation process, our aim is to highlight ways in which curriculum-specific LTs can be articulated to serve as a more proximal and instrumental tool for teachers’ instructional practice. Furthermore, to illustrate we describe how the products of the work were used in practice-based professional learning experiences with middle-grades mathematics teachers.

Repositioning the Field of Socio-Cultural Foundations under the Efficiency-Driven Reform in Teacher Education

This article examines how qualification frameworks for Bachelor of Education and the Thai Teachers Council regulations on teaching professional standard affect the status of knowledge of socio-cultural foundations in teacher education institutions. The researcher used document analysis, in-depth interview and field observations with 7 teacher educators from 7 teacher education institutions. Findings indicate that socio-cultural foundations courses are still present in the teacher education program, and there is integration of the subject matters of philosophy and sociology of education. In addition, the everyday life discursive practices of teacher educators are the implementation of the teacher education curriculum reflecting negotiation, resistance, or articulation process between policy and practices. As a critical active agent in their own cultural politics, teacher educators are the most important actors influencing the status of knowledge of the field of socio-cultural foundations in teacher education institutions.

Estimating Underlying Articulatory Targets of Thai Vowels by Using Deep Learning Based on Generating Synthetic Samples From a 3D Vocal Tract Model and Data Augmentation

Representation learning is one of the fundamental issues in modeling articulatory-based speech synthesis using target-driven models. This paper proposes a computational strategy for learning underlying articulatory targets from a 3D articulatory speech synthesis model using a bi-directional long short-term memory recurrent neural network based on a small set of representative seed samples. Using a seeding set from VocalTractLab, a larger training set was generated that provided richer contextual variations for the model to learn. The deep learning model for acoustic-to-target mapping was then trained to model the inverse relation of the articulation process. This method allows the trained model to map the given acoustic data onto the articulatory target parameters which can then be used to identify the distribution based on linguistic contexts. The model was evaluated based on its effectiveness in mapping acoustics to articulation, and the perceptual accuracy of speech reproduced from the articulation estimated from the recorded speech by native Thai speakers. The model achieved more than 80% phoneme classification accuracy in the listening test conducted with 25 native Thai speakers. The results indicate that the model can accurately imitate speech with a high degree of phonemic precision.

Attentive Sequence-to-Sequence Modeling of Stroke Gestures Articulation Performance

Production time of stroke gestures is a fundamental measure of user performance with graphical user interfaces. However, production time represents an overall quantification of the user's gesture articulation process and therefore provides an incomplete picture of such process. Moreover, previous approaches assumed stroke gestures as synchronous point sequences, when most gesture-driven applications have to deal with asynchronous point sequences. Furthermore, deep generative models of human handwriting ignore the temporal information, thereby missing a key component of the user's gesture articulation process. To solve these issues, we introduce Ditto , a sequence-to-sequence deep learning model that estimates the velocity profile of any stroke gesture using spatial information only, providing thus a fine-grained estimation of the moment-by-moment behavior of the user's articulation performance. We show that this unique capability makes Ditto remarkably accurate while handling gestures of any type: unistrokes, multistrokes, and multitouch gestures. Our model, code, and associated web application are available as open source software.

Morphological and molecular data of new species of Characithecium and Diaphorocleidus (Monogenea: Dactylogyridae) from Neotropical characid fishes.

The present study describes three new species of monogenean parasites of characid fishes from the Upper Paraná River basin, Brazil: Characithecium paranapanemense n. sp. on Psalidodon paranae and Psalidodon bockmanni, Diaphorocleidus magnus n. sp. on Astyanax lacustris and Psalidodon fasciatus, and Diaphorocleidus neotropicalis n. sp. on Astyanax lacustris and P. bockmanni. An amendment for Diaphorocleidus is proposed, since additional characters observed in the new species required to extend the generic diagnostic features mainly to include: articulation process connecting the base of the MCO with accessory piece present or absent, and accessory piece with variable shapes (plate-like, pincer-shaped, wrench-shaped, sheath-shaped), divided or not into subunits. Characithecium paranapanemense n. sp. can be distinguished from other congeners by the morphology of its MCO and accessory piece. Diaphorocleidus magnus n. sp. differs from most of its congeners by the morphology of its accessory piece, the presence of articulation process connecting the base of the MCO with accessory piece, and the morphology of the sclerotized structures of the haptor. Diaphorocleidus neotropicalis n. sp. can be easily distinguished from its congeners by the morphology of the accessory piece, the sclerotized structures of the haptor and the morphology of the vagina. Molecular data of the new species (partial 28S rDNA and mitochondrial cytochrome oxidase I) were obtained and the first phylogenetic analysis based on 28S rDNA gene sequences for species of Characithecium and Diaphorocleidus are provided. Although Diaphorocleidus and Characithecium share some morphological similarities, phylogenetic analysis indicates that species of these two genera are not closely related.

Speech Vision: An End-to-End Deep Learning-Based Dysarthric Automatic Speech Recognition System

Dysarthria is a disorder that affects an individual's speech intelligibility due to the paralysis of muscles and organs involved in the articulation process. As the condition is often associated with physically debilitating disabilities, not only do such individuals face communication problems, but also interactions with digital devices can become a burden. For these individuals, automatic speech recognition (ASR) technologies can make a significant difference in their lives as computing and portable digital devices can become an interaction medium, enabling them to communicate with others and computers. However, ASR technologies have performed poorly in recognizing dysarthric speech, especially for severe dysarthria, due to multiple challenges facing dysarthric ASR systems. We identified these challenges are due to the alternation and inaccuracy of dysarthric phonemes, the scarcity of dysarthric speech data, and the phoneme labeling imprecision. This paper reports on our second dysarthric-specific ASR system, called Speech Vision (SV) that tackles these challenges by adopting a novel approach towards dysarthric ASR in which speech features are extracted visually, then SV learns to see the shape of the words pronounced by dysarthric individuals. This visual acoustic modeling feature of SV eliminates phoneme-related challenges. To address the data scarcity problem, SV adopts visual data augmentation techniques, generates synthetic dysarthric acoustic visuals, and leverages transfer learning. Benchmarking with other state-of-the-art dysarthric ASR considered in this study, SV outperformed them by improving recognition accuracies for 67% of UA-Speech speakers, where the biggest improvements were achieved for severe dysarthria.

Analysis of Momentous Fragmentary Formants in Talaqi-like Neoteric Assessment of Quran Recitation using MFCC Miniature Features of Quranic Syllables

The use of technological speech recognition systems with a variety of approaches and techniques has grown rapidly in a variety of human-machine interaction applications. Further to this, a computerized assessment system to identify errors in reading the Qur'an can be developed to practice the advantages of technology that exist today. Based on Quranic syllable utterances, which contain Tajweed rules that generally consist of Makhraj (articulation process), Sifaat (letter features or pronunciation) and Harakat (pronunciation extension), this paper attempts to present the technological capabilities in realizing Quranic recitation assessment. The transformation of the digital signal of the Quranic voice with the identification of reading errors (based on the Law of Tajweed) is the main focus of this paper. This involves many stages in the process related to the representation of Quranic syllable-based Recitation Speech Signal (QRSS), feature extraction, non-phonetic transcription Quranic Recitation Acoustic Model (QRAM), and threshold classification processes. MFCC-Formants are used in a miniature state that are hybridized with three bands in representing QRSS combined vowels and consonants. A human-guided threshold classification approach is used to assess recitation based on Quranic syllables and threshold classification performance for the low, medium, and high band groups with performances of 87.27%, 86.86%and 86.33%, respectively.

Estos rotos, Señor, lo que piden son garantías. Movimientos sociales, represión y muerte obrera en Atacama.(Taltal, 1900-1910)

This article analyzes the articulation process of the labor movement that occurred in the southern sector of the Atacama Desert. A historical phenomenon scarcely studied which contributes to the understanding of the period regarding the capitalist and business advancement in the region. It studies the economic and social situation of the first decade of the twentieth century, focusing on the workers’ situation and the articulation of a set of demands aimed at improving their working conditions and their responses when these rights were violated. This action resulted in the configuration of a solid social movement that, through the working press, strikes, and rallies represented their demands in the public space, involving the local community and provoking repression by the authorities that resulted in persecution, exile and death.

Improving the Accuracy of Automatic Facial Expression Recognition in Speaking Subjects with Deep Learning

When automatic facial expression recognition is applied to video sequences of speaking subjects, the recognition accuracy has been noted to be lower than with video sequences of still subjects. This effect known as the speaking effect arises during spontaneous conversations, and along with the affective expressions the speech articulation process influences facial configurations. In this work we question whether, aside from facial features, other cues relating to the articulation process would increase emotion recognition accuracy when added in input to a deep neural network model. We develop two neural networks that classify facial expressions in speaking subjects from the RAVDESS dataset, a spatio-temporal CNN and a GRU cell RNN. They are first trained on facial features only, and afterwards both on facial features and articulation related cues extracted from a model trained for lip reading, while varying the number of consecutive frames provided in input as well. We show that using DNNs the addition of features related to articulation increases classification accuracy up to 12%, the increase being greater with more consecutive frames provided in input to the model.

A Study of Pronunciation Errors in the Reading of Kanji Words in Cases with Pure Apraxia of Speech

In this study we investigated the pronunciation error patterns in Kanji words of two patients with pure apraxia of speech. We asked the patients to read aloud 80 visually presented Kanji words, half of which were homonymous and the rest non-homonymous. The words were presented at three different intervals (2, 1.5 and 1 sec.). Case A, a 68-year-old right-handed woman, produced a variety of sound errors - substitution, distortion and omission - and some errors of pitch position. Case B, a 73-year-old right-handed woman, omitted the prolonged vowels of each word, and produced many pitch errors, including pitch position errors and flattening of pitch. Each patient had different lesions in the left precentral gyrus - Case A from the posterior bank to the middle part of the left precentral gyrus, and Case B in the anterior bank and deep white matter of the left precentral gyrus. We speculated that Case A has difficulty mainly in the articulation process and vocalization, whereas Case B's deficit lies mainly in the phonation process, which relates to control of pitch and expiration.