plurality of Tuban Regency

The COVID-19 pandemic necessitates the use of all sectors in communication through online media based on using Internet networks and audio-visual technology. Gedog Tuban Batik fabric has the potential to develop the motifs and coloring of the fabric that can be done by batik artisans. Meanwhile, the impact of COVID-19 has resulted in a decline in the economic activity of artisans. To overcome this, a method of empowering the Tuban community is needed so that they can continue to produce Tuban batik. The community is equipped to express themselves through audio and visual media as well as coloring and motifs for developing Gedog batik with the citizen journalist method and applied art. This is an ethnographic research using qualitative methods. The data collection techniques were done through in-depth interviews and observations. The results of the study show that through the empowerment of local resources, the Tuban community has an alternative activity, namely batik making in order to survive during the pandemic. The residents of Tuban are agents of information in terms of how to produce, distribute, and exhibit Gedog batik through their smart phone technology.

First and second trimester ultrasound in pregnancy: A systematic review and metasynthesis of the views and experiences of pregnant women, partners, and health workers

Background The World Health Organization (WHO) recommends one ultrasound scan before 24 weeks gestation as part of routine antenatal care (WHO 2016). We explored influences on provision and uptake through views and experiences of pregnant women, partners, and health workers. Methods We undertook a systematic review (PROSPERO CRD42021230926). We derived summaries of findings and overarching themes using metasynthesis methods. We searched MEDLINE, CINAHL, PsycINFO, SocIndex, LILACS, and AIM (Nov 25th 2020) for qualitative studies reporting views and experiences of routine ultrasound provision to 24 weeks gestation, with no language or date restriction. After quality assessment, data were logged and analysed in Excel. We assessed confidence in the findings using Grade-CERQual. Findings From 7076 hits, we included 80 papers (1994–2020, 23 countries, 16 LICs/MICs, over 1500 participants). We identified 17 review findings, (moderate or high confidence: 14/17), and four themes: sociocultural influences and expectations; the power of visual technology; joy and devastation: consequences of ultrasound findings; the significance of relationship in the ultrasound encounter. Providing or receiving ultrasound was positive for most, reportedly increasing parental-fetal engagement. However, abnormal findings were often shocking. Some reported changing future reproductive decisions after equivocal results, even when the eventual diagnosis was positive. Attitudes and behaviours of sonographers influenced service user experience. Ultrasound providers expressed concern about making mistakes, recognising their need for education, training, and adequate time with women. Ultrasound sex determination influenced female feticide in some contexts, in others, termination was not socially acceptable. Overuse was noted to reduce clinical antenatal skills as well as the use and uptake of other forms of antenatal care. These factors influenced utility and equity of ultrasound in some settings. Conclusion Though antenatal ultrasound was largely seen as positive, long-term adverse psychological and reproductive consequences were reported for some. Gender inequity may be reinforced by female feticide following ultrasound in some contexts. Provider attitudes and behaviours, time to engage fully with service users, social norms, access to follow up, and the potential for overuse all need to be considered.

Generational Views of Life Challenges and the Aging Process: Influence of Relationship Type, Frequency, Experience

This study, conducted within a higher education setting, examines and compares views of younger adults (age 20-24) and older adults (age 65-97) in two major areas; life challenges and aging processes. Are they complimentary, neutral, or opposing? We investigate views and the potential association to relationship type (family relation, close contact, casual), frequency (times interacting per month) including mode of communication (face-to-face, phone, visual technology), and narrative of overall experience. A mixed-method approach incorporated convenience survey data and extensive in-depth interviews. Data collection instruments were designed and conducted by students in an upper-division wellness and aging course at SUNY Oswego. Students partnered with older adult study participants. Participant (n=80) inquiries centered on life challenges (COVID, adversity, loss, discrimination/bias, regrets) and aging processes (views on aging, life expectancy, changes in health). The study also examines the impact of the 3-credit course on aging views; specifically did they change their life expectancy choice (years) from the week one by the end of the course.

Stress Recognition Using Facial Landmarks and Cnn (Alexnet)

Stress is a psychological disorder that affects every aspect of life and diminishes the quality of sleep. The strategy presented in this paper for detecting cognitive stress levels using facial landmarks is successful. The major goal of this system was to employ visual technology to detect stress using a machine learning methodology. The novelty of this work lies in the fact that a stress detection system should be as non-invasive as possible for the user. The user tension and these evidences are modelled using machine learning. The computer vision techniques we utilized to extract visual evidences, the machine learning model we used to forecast stress and related parameters, and the active sensing strategy we used to collect the most valuable evidences for efficient stress inference are all discussed. Our findings show that the stress level identified by our method is accurate is consistent with what psychological theories predict. This presents a stress recognition approach based on facial photos and landmarks utilizing AlexNet architecture in this research. It is vital to have a gadget that can collect the appropriate data. The use of a biological signal or a thermal image to identify stress is currently being investigated. To address this limitation, we devised an algorithm that can detect stress in photos taken with a standard camera. We have created DNN that uses facial positions points as input to take advantage of the fact that when a person is worried their eye, mouth, and head movements differ from what they are used to. The suggested algorithm senses stress more efficiently, according to experimental data.

Using Cost Efficient Augmented Reality Glasses in Anatomical Identification

Augmented Reality (AR) is an emerging technology capable of integrating visual technology with the physical world in novel ways. AR uses may range from education delivery to the operating room. This study sought to evaluate cost-effective AR glasses compared to a traditional computer screen when identifying anatomical structures in a chest radiograph (X-ray). The purpose of this experiment was to determine if the Vuzix Blade AR technology is feasible for use in the medical field to identify anatomical structures. Novice undergraduate and graduate students (n = 14) were recruited to participate in this feasibility study. Radio-graphic images were compiled, and subjects were asked to identify 12 anatomical structures on each image. Images were randomly assigned to identify structures using either the AR glasses or a traditional computer screen for each set. Images were viewed randomly by each subject using a crossover design to compare traditional computer screen vs. AR screen. Subjects identified statistically fewer anatomical structures using the AR glasses compared to using the traditional computer screen (p<0.01). However, the glasses did not require significantly more subjective workload (NASA-TLX) on the user to use compared to the computer screen. When subjects used the cost-effective AR glasses, subjects were unable to differentiate as many anatomical structures as possible (10 vs. 9 structures at p < 0.01), but the glasses were not more demanding overall. Thus, AR glasses may soon be an integral part of the operating room, provided adequate resolution to visualize the necessary details.

Event practices as an effective tool of public relations

Purpose of the article is to turn to the analysis of event practices as an effective tool of public relations for the conceptual understanding of its value potential, which is expressed in communication, contacts, in the harmony of man with the world around him. Methodology is based on the application of general scientific and special methods of cognition, including methods of generalization, synthesis, and analytics, which allow studying event practices as an effective means of social communication. Scientific novelty. Currently, there is a lack of scientific analysis of the key role of domestic event practices in the general system of public relations. The scientific novelty of the work lies in the theoretical generalization of the problem and the definition of categorical statements related to the research topic. Conclusions. As a result of the research, the need to form a new Ukrainian culture of self-realization of individuals, which is due to fundamentally new modifications of socio-cultural institutions, among which the latest event practices used in modern public relations. The impact of PR-methods can be both negative and positive. The nature and functional purpose of these methods depends in general on those who manage and own the technology and their practical implementation. As a result, the role of some PR - technologies in society, to a greater extent, is defined by us as the manipulation of the consciousness of citizens, the role of others - as enlightenment. Due to significant civilizational, technical and technological progress, including the development of the media, the transformation of event technologies in the world and Ukraine has accelerated. Event practices shape public opinion in various cultural spheres and promote positive changes in the mass consciousness. The transition of an essential component of the structure of event practices into a virtualized space will be the essence of the culture of the future. With the development of visual technology, events have acquired new functions - they have become an instrument of political and ideological struggle, a weapon of rebellion, a form of shock, which is an effective tool of modern public relations. This trend, accordingly, increases the role of event practices in the cultural process and in general in public life, stimulates the interest of scientists in their further research.

Dynamic Gesture Recognition Algorithm Based on 3D Convolutional Neural Network

Gesture recognition is one of the important ways of human-computer interaction, which is mainly detected by visual technology. The temporal and spatial features are extracted by convolution of the video containing gesture. However, compared with the convolution calculation of a single image, multiframe image of dynamic gestures has more computation, more complex feature extraction, and more network parameters, which affects the recognition efficiency and real-time performance of the model. To solve above problems, a dynamic gesture recognition model based on CBAM-C3D is proposed. Key frame extraction technology, multimodal joint training, and network optimization with BN layer are used for making the network performance better. The experiments show that the recognition accuracy of the proposed 3D convolutional neural network combined with attention mechanism reaches 72.4% on EgoGesture dataset, which is improved greatly compared with the current main dynamic gesture recognition methods, and the effectiveness of the proposed algorithm is verified.