The Temporal Aspect of Bodily Experiences of Emotions: Where do You Feel The First Sensation?

Recently, body maps have increasingly been used to identify patterns in respect of the location of the physical sensations elicited by emotions. However, in addition to understanding how emotions are topographically manifest in the body, it is important to add a temporal aspect to deepen the interoceptive study of emotions. Therefore, the present study sought to explore the first perceived sensation. The study sample comprised a group of mindfulness practitioners (n=34) and a group of non-practitioners (n=64) to analyze if there was any difference in their perceptions of emotion. Participants were instructed to evoke five basic emotions (fear, disgust, anger, sadness, joy), and as soon as they became aware of where they felt the emotions start to emerge, were instructed to interrupt the observation and to indicate the region in a diagram of a human figure. Overall, the groups did not differ in the body regions identified for each emotion. Cochran's Q-test showed that the main regions mentioned were the head and the chest. In the case of disgust, the neck, rather than the chest, along with the lower part of the head were the most cited. The most cited regions corresponded to those identified in other studies of body topography as perceived with the greatest increase in activity in response to emotional stimuli. Regarding interoceptive awareness, the independent t-test verified that the mindfulness group scored significantly higher in all subscales of the Brazilian Portuguese version of the 37-item Multidimensional Assessment of Interoceptive Awareness questionnaire compared to the non-mindfulness group.

The Temporal Aspect of Bodily Experiences of Emotions: Where do You Feel The First Sensation?

Recently, body maps have increasingly been used to identify patterns in respect of the location of the physical sensations elicited by emotions. However, in addition to understanding how emotions are topographically manifest in the body, it is important to add a temporal aspect to deepen the interoceptive study of emotions. Therefore, the present study sought to explore the first perceived sensation. The study sample comprised a group of mindfulness practitioners (n=34) and a group of non-practitioners (n=64) to analyze if there was any difference in their perceptions of emotion. Participants were instructed to evoke five basic emotions (fear, disgust, anger, sadness, joy), and as soon as they became aware of where they felt the emotions start to emerge, were instructed to interrupt the observation and to indicate the region in a diagram of a human figure. Overall, the groups did not differ in the body regions identified for each emotion. Cochran's Q-test showed that the main regions mentioned were the head and the chest. In the case of disgust, the neck, rather than the chest, along with the lower part of the head were the most cited. The most cited regions corresponded to those identified in other studies of body topography as perceived with the greatest increase in activity in response to emotional stimuli. Regarding interoceptive awareness, the independent t-test verified that the mindfulness group scored significantly higher in all subscales of the Brazilian Portuguese version of the 37-item Multidimensional Assessment of Interoceptive Awareness questionnaire compared to the non-mindfulness group.

Similar Trajectory Search with Spatio-Temporal Deep Representation Learning

Similar trajectory search is a crucial task that facilitates many downstream spatial data analytic applications. Despite its importance, many of the current literature focus solely on the trajectory’s spatial similarity while neglecting the temporal information. Additionally, the few papers that use both the spatial and temporal features based their approach on a traditional point-to-point comparison. These methods model the importance of the spatial and temporal aspect of the data with only a single, pre-defined balancing factor for all trajectories, even though the relative spatial and temporal balance can change from trajectory to trajectory. In this article, we propose the first spatio-temporal, deep-representation-learning-based approach to similar trajectory search. Experiments show that utilizing both features offers significant improvements over existing point-to-point comparison and deep-representation-learning approach. We also show that our deep neural network approach is faster and performs more consistently compared to the point-to-point comparison approaches.

A new and efficient algorithm to look for periodic patterns on spatio-temporal databases

Big Data is a generic term that involves the storing and processing of a large amount of data. This large amount of data has been promoted by technologies such as mobile applications, Internet of Things (IoT), and Geographic Information Systems (GIS). An example of GIS is a Spatio-Temporal Database (STDB). A complex problem to address in terms of processing time is pattern searching on STDB. Nowadays, high information processing capacity is available everywhere. Nevertheless, the pattern searching problem on STDB using traditional Data Mining techniques is complex because the data incorporate the temporal aspect. Traditional techniques of pattern searching, such as time series, do not incorporate the spatial aspect. For this reason, traditional algorithms based on association rules must be adapted to find these patterns. Most of the algorithms take exponential processing times. In this paper, a new efficient algorithm (named Minus-F1) to look for periodic patterns on STDB is presented. Our algorithm is compared with Apriori, Max-Subpattern, and PPA algorithms on synthetic and real STDB. Additionally, the computational complexities for each algorithm in the worst cases are presented. Empirical results show that Minus-F1 is not only more efficient than Apriori, Max-Subpattern, and PAA, but also it presents a polynomial behavior.

Sound Recording As a Factor of Evolution of the Piano Performing Style in XX Century

Роль звукозаписи как источника и катализатора изменений, произошедших в фортепианном исполнительстве в XX веке, мало исследована в отечественном музыкознании. Цель автора — восполнить данный пробел, раскрыв влияние звукозаписи на развитие фортепианного искусства. В центре внимания — репертуарные предпочтения, возможности и подходы исполнителей; анализ производится в рамках предложенной периодизации звукозаписи (ранней, классической, цифровой). В эпоху ранней звукозаписи трансформация исполнительских средств связана с временны´ м аспектом. Период классической звукозаписи характеризуется стремлением к идеальному исполнению в студии звукозаписи, что обусловлено технологическими открытиями в области обработки звука, становлением типа пианиста-интерпретатора и возникновением типа исполнителя-постмодерниста. Идеалы качества эпохи цифровой записи привели к формированию высоких стандартов концертных исполнений, а развитие компьютерных технологий — к появлению новых исполнительских техник. В статье представлены основные стилевые тенденции, возникшие под влиянием звукозаписи, обозначены основные проблемы современного исполнительства. The role of the sound recording as a source and catalyst of changes that took place in the piano performance in the XX century is researched rather little in the native musicology. The aim of the author is to fill this gap by examining the influence of the sound recording on the piano performing style. In the spotlight there are performing techniques, repertoire preferences and interpretative approaches which are analyzed within the framework of the suggested periodization of the sound recording — early, classical, digital. In the days of early sound recording, transformation of performing techniques is connected with the temporal aspect. The period of classical sound recording is characterized by the desire of an ideal performance in the studio of sound recording, owing to technological discoveries in the area of sound processing, and emergence of such types of musicians as pianist-interpreter and postmodern performer. The ideals of quality of the era of digital recording led to formation of high standards in concert performance, and development of computer technologies created new performing techniques. The article presents the main stylistic trends which appeared under the influence of sound recording, and outlines the main problems of the contemporary performance.

Insights From Veterinary Disciplinary Actions in California 2017–2019

There is increasing concern within the veterinary medical community (veterinarians and veterinary students) that disgruntled clients are unfairly leveraging various legal tools against veterinarians. Clinical veterinarians and veterinary students should be aware of the most common types of problems arising within the clinic and how they can lead to formal consumer complaints. The study describes and categorizes with greater detail the types of violations or “causes for discipline” that occur, as well as specific sanctions imposed on veterinarians formally disciplined for standard of care-related violations between 2017 and 2019, for California. In addition, the study calculated the frequency of disciplinary actions and their basic summary statistics regarding the temporal aspect of how lawsuits typically unfold. Using public documents from California, the study describes the analysis and trends for the purpose of providing contextual evidence to inform and guide potential veterinary educational interventions. Although specific to California, this study can serve as a template methodology for comparisons to other states.

403 Acute myopericarditis after mRNA COVID-19 vaccine

Aims Cases of myocarditis and myopericarditis after mRNA COVID-19 vaccines have been reported, especially after the second dose and in young males. Their course is generally benign, with symptoms onset after 24–72 h from the dose. Methods and results We report two cases of myopericarditis after the second dose of the mRNA-1273 COVID-19 vaccine in two young males, 20-years old and 21-years old. Both the patients were administered the vaccine on the same day. They both experienced fever on the same day of the vaccine and symptoms consistent with myopericarditis three days after the dose, which was confirmed by cardiac magnetic resonance. Figure 1 summarizes the main non-invasive findings that suggested and confirmed the diagnosis of acute myopericarditis. The disease course was benign in both patients, and only one patient presented rare ventricular arrhythmias on the admission day. They were both discharged on the 9th day of the in-hospital stay. Conclusions Myopericarditis is usually considered an uncommon adverse reaction after various vaccinations, reported also after the mRNA COVID-19 vaccine. Several explanations have been proposed, including an abnormal activation of the immune system leading to a pro-inflammatory cascade responsible for myocarditis development. The temporal aspect of these case reports is rather peculiar and it is useful to underscore that both vaccines belonged to the same batch of vaccines. However, despite these cases, vaccination against COVID-19 far outweighs the risk linked to COVID-19 infection and remains the best option to overcome this disease. 403 Figure

Mining Temporal Association Rules with Temporal Soft Sets

Traditional association rule extraction may run into some difficulties due to ignoring the temporal aspect of the collected data. Particularly, it happens in many cases that some item sets are frequent during specific time periods, although they are not frequent in the whole data set. In this study, we make an effort to enhance conventional rule mining by introducing temporal soft sets. We define temporal granulation mappings to induce granular structures for temporal transaction data. Using this notion, we define temporal soft sets and their Q -clip soft sets to establish a novel framework for mining temporal association rules. A number of useful characterizations and results are obtained, including a necessary and sufficient condition for fast identification of strong temporal association rules. By combining temporal soft sets with NegNodeset-based frequent item set mining techniques, we develop the negFIN-based soft temporal association rule mining (negFIN-STARM) method to extract strong temporal association rules. Numerical experiments are conducted on commonly used data sets to show the feasibility of our approach. Moreover, comparative analysis demonstrates that the newly proposed method achieves higher execution efficiency than three well-known approaches in the literature.

Derivational Syntax: a Minimalist Approach to Affixation in Bahasa Indonesia Predicates

<p>This thesis focuses on verbal phrase aspect (vP-aspect) in Bahasa Indonesia (BI). In BI, vP-aspect is morphologically marked on the predicate. I claim that the sufiix -kan marks an aspect, which I refer to as kan-aspect, indicating that the object undergoes change. This is in a stark contrast with i-aspect, where the object is stationary and unchanged. The analysis is based on the notion that the semantics and syntax of a predicate should be analysed within the vP (for instance, Tenny 1987, 1994, Chomsky 1995, Arad 1998, Croft 1998, among others), with the core argument determining the aspectual property of an event structure (Tenny 1987, Arad 1998, Ritter and Rosen 1998). Since this thesis proposes to take into account the -kan and -i distinction as an important aspect in the analysis, the structural location of the two suffixes will take centre stage. This has not been done in the literature on BI that looks at these derivational suffixes. This thesis further develops the analysis beyond verb phrases: it takes into account the syntax of Voice Phrase of sentence structures that include (temporal) Aspect Phrase, Wh-extractions, and Relative Clauses.</p>

Derivational Syntax: a Minimalist Approach to Affixation in Bahasa Indonesia Predicates

<p>This thesis focuses on verbal phrase aspect (vP-aspect) in Bahasa Indonesia (BI). In BI, vP-aspect is morphologically marked on the predicate. I claim that the sufiix -kan marks an aspect, which I refer to as kan-aspect, indicating that the object undergoes change. This is in a stark contrast with i-aspect, where the object is stationary and unchanged. The analysis is based on the notion that the semantics and syntax of a predicate should be analysed within the vP (for instance, Tenny 1987, 1994, Chomsky 1995, Arad 1998, Croft 1998, among others), with the core argument determining the aspectual property of an event structure (Tenny 1987, Arad 1998, Ritter and Rosen 1998). Since this thesis proposes to take into account the -kan and -i distinction as an important aspect in the analysis, the structural location of the two suffixes will take centre stage. This has not been done in the literature on BI that looks at these derivational suffixes. This thesis further develops the analysis beyond verb phrases: it takes into account the syntax of Voice Phrase of sentence structures that include (temporal) Aspect Phrase, Wh-extractions, and Relative Clauses.</p>