Broad Perception Research Articles

Child care as the basis of attitude to the problem of his health

Child care is an academic discipline that underlies the implementation of numerous recommendations developed in neonatology, pediatrics, hygiene and epidemiology, infectious diseases, nursing, etc. The article returns readers of the magazine «Мeditzinskaya sestra/Nurse» to a broad perception of the problem of caring for a child as the basis of his upbringing and treatment. Innovations and implementation of modern innovative technologies are considered with an emphasis on early ages. Many new trends relate to the issues of automating the care process in hospitals and «saving» resources. Another charge of criticism regarding the ideology of natural parenthood. Responsible care is the basis of preventive pediatrics. It is important to consciously understand what and why relates to measures that ensure health for a modern child.

Programmable Optoelectronic Synaptic Transistors Based on MoS2/Ta2NiS5 Heterojunction for Energy-Efficient Neuromorphic Optical Operation.

The optoelectronic synaptic transistors with various functions, broad spectral perception, and low power consumption are an urgent need for the development of advanced optical neural network systems. However, it remains a great challenge to realize the functional diversification of the systems on a single device. 2D van der Waals (vdW) materials can combine unique properties by stacking with each other to form heterojunctions, which may provide a strategy for solving this problem. Herein, an all-2D vdW heterojunction-based programmable optoelectronic synaptic transistor based on MoS2/Ta2NiS5 heterojunctions is demonstrated. The device implements reconfigurable, multilevel non-volatile memory (NVM) states through sequential modulation of multiple optical and electrical stimuli to achieve broadband (532-808nm), energy-efficient (17.2 fJ), hetero-synaptic functionality in a bionic manner. The intrinsic working mechanisms of the photogating effect caused by band alignment and the interfacial trapping defect modulation induced by gate voltage are revealed by Kelvin-probe force microscopy (KPFM) measurements and carrier transport analysis. Overall, the (opto)electronic synaptic weight controllability for combined in-sensor and in-memory logic processors is realized by the heterojunction properties. The proposed findings facilitate the technical realization of generic all 2D hetero-synapses for future artificial vision systems, opto-logical systems, and Internet of Things (IoT) entities.

Perceptual heterogeneity in developmental prosopagnosia is continuous, not categorical

Developmental prosopagnosia (DP) is associated with considerable perceptual heterogeneity, though the nature of this heterogeneity and whether there are discrete subgroups versus continuous deficits remains unclear. Bennetts et al. (2022) recently found that holistic versus featural processing deficits distinguished discrete DP subgroups, but their sample was relatively small (N = 37), and subgroups were defined using a single task. To characterize perceptual heterogeneity in DPs more comprehensively, we administered a broad face perception battery to a large sample of 109 DPs and 134 controls, including validated measures of face matching (Cambridge Face Perception Test – CFPT, Computerized Benton Facial Recognition Test, Same/Different Face Matching Task), holistic processing (Part-Whole Task), and feature processing (Georges Task and Part-Whole part trials). When examining face matching measures, DPs exhibited a similar distribution of performance as controls, though shifted towards impairment by an average of 1.4 SD. We next applied Bennetts (2022) hierarchical clustering approach and k-means clustering to the CFPT upright, inverted, and inversion index measures, similarly finding one group of DPs with poorer inverted face performance and another with a decreased face inversion effect (holistic processing). However, these subgroup differences failed to generalize to other measures of feature and holistic processing beyond the CFPT. We finally ran hierarchical and k-means cluster analyses on our larger battery of face matching, feature, and holistic processing measures. Results clearly showed subgroups with generally better versus worse performance across all measures, with the distinction between groups being somewhat arbitrary. Together, these findings support a continuous account of DP perceptual heterogeneity, with performance differing primarily across all aspects of face perception.

Navigating Leadership and Communication: A Study of Emerging Leaders in Indian Organizations

Introduction: The research explores the dynamic interplay between the leadership styles and communication strategies in Indian context. In order to understand the connection between leadership and communication this research will use SPSS. 
 Literature review: This section delves into unraveling the diverse spectrum of leadership styles that are prevalent in Indian organizations. The importance of the problem-solving and informational-sharing studies has emphasized the complexity of the evaluative steps that have guided the theoretical framework to enable the research methodology.
 Methodology: The primary quantitative methodology employs a survey tool which has been administered on the 55 participants. SPSS solution has recognised so many attributes that have benefitted the organizational outcomes. The application of correlation, descriptive analysis and ANOVA has accessorized the vital values by making qualitative and quantitative assessments yielding a broad perception.
 Findings: This section illuminates the prevalence of diverse leadership styles incorporating transformational leaderships. It adopts a clear and delicate model which places emphasis on women as key players to the economic emancipation of citizens. From the findings, it has been obtained that there is a significant relationship between employee commitment and organizational success which is -0.74 at 0.01 level of significance.
 Discussion: From the discussion section, it has been examined that for organizational practices and leadership developments, as a result of these actionable insights, the young leader in India has been able to initiate the social media revolution. Moreover, tailoring a clear and transparent organization has emerged as a common factor to acknowledge the quantitative approaches
 Conclusion: The conclusion restates the main findings, which would in turn conclude any contributions to food safety research which should be derived from the study. Moreover, the dynamics and organizations landscape has been considered to be increasingly successful in empowering the leaders by means of expertise irrespective of relevance. Such strategy works through the complex nature of Indian corporate and organizational paradigm principles, which provides the foundation for leadership development programs to be conducted in future among researchers broadly.
 

A Fish-like Binocular Vision System for Underwater Perception of Robotic Fish.

Biological fish exhibit a remarkably broad-spectrum visual perception capability. Inspired by the eye arrangement of biological fish, we design a fish-like binocular vision system, thereby endowing underwater bionic robots with an exceptionally broad visual perception capacity. Firstly, based on the design principles of binocular visual field overlap and tangency to streamlined shapes, a fish-like vision system is developed for underwater robots, enabling wide-field underwater perception without a waterproof cover. Secondly, addressing the significant distortion and parallax of the vision system, a visual field stitching algorithm is proposed to merge the binocular fields of view and obtain a complete perception image. Thirdly, an orientation alignment method is proposed that draws scales for yaw and pitch angles in the stitched images to provide a reference for the orientation of objects of interest within the field of view. Finally, underwater experiments evaluate the perception capabilities of the fish-like vision system, confirming the effectiveness of the visual field stitching algorithm and the orientation alignment method. The results show that the constructed vision system, when used underwater, achieves a horizontal field of view of 306.56°. The conducted work advances the visual perception capabilities of underwater robots and presents a novel approach to and insight for fish-inspired visual systems.

ELISA-based detection of immunoglobulins against extracellular vesicles in blood plasma.

Extracellular vesicles (EVs) are intensively investigated for their therapeutic potential and application as drug delivery vehicle. A broad perception of favourable safety profiles and low immunogenicity make EVs an attractive alternative to synthetic nanoparticles. We recently showed that repeated intravenous administration of human cell-derived EVs into pig-tailed macaques unexpectedly elicited antibody responses after three or more injections. This coincided with decreasing EV circulation time, and may thus hamper successful EV-mediated cargo delivery into tissues. Here, we share the custom ELISA protocol that we used to measure such antibody responses. This protocol may help other researchers evaluate immune responses to EV-based therapies in preclinical studies.

Multispectral Image Stitching via Global-Aware Quadrature Pyramid Regression.

Image stitching is a critical task in panorama perception that involves combining images captured from different viewing positions to reconstruct a wider field-of-view (FOV) image. Existing visible image stitching methods suffer from performance drops under severe conditions since environmental factors can easily impair visible images. In contrast, infrared images possess greater penetrating ability and are less affected by environmental factors. Therefore, we propose an infrared and visible image-based multispectral image stitching method to achieve all-weather, broad FOV scene perception. Specifically, based on two pairs of infrared and visible images, we employ the salient structural information from the infrared images and the textual details from the visible images to infer the correspondences within different modality-specific features. For this purpose, a multiscale progressive mechanism coupled with quadrature correlation is exploited to improve regression in different modalities. Exploiting the complementary properties, accurate and credible homography can be obtained by integrating the deformation parameters of the two modalities to compensate for the missing modality-specific information. A global-aware guided reconstruction module is established to generate an informative and broad scene, wherein the attentive features of different viewpoints are introduced to fuse the source images with a more seamless and comprehensive appearance. We construct a high-quality infrared and visible stitching dataset for evaluation, including real-world and synthetic sets. The qualitative and quantitative results demonstrate that the proposed method outperforms the intuitive cascaded fusion-stitching procedure, achieving more robust and credible panorama generation. Code and dataset are available at https://github.com/Jzy2017/MSGA.

A Survey of Deep Learning Techniques and Computer Vision in Robotic and Drone with Applications

The methods of deep learning have lately demonstrated outstanding outcomes of robotic objects such as imagination, localization and striping. Its exceptional abilities in order to learn idealizations from complicated data gathered in the real world ambiance make it perfect for a high range of independent applications of robot. Simultaneously, unmanned aerial vehicles are becoming more used for a variety of civilian stints ranging from security, superintending, and disaster relief, extraditing of package and repository arrangement. A thorough exegesis one of the primary deep learning techniques is also supplied. A set of the main difficulties in using deep learning with UAV-based solutions. Even still, autonomous navigation remains a challenge where computer vision technologies can shine. As a result, development the forecast made by the network and the ground-truth attention distribution, increased the use of vision systems and algorithms, been a major focus of studies conducted recently. An organized mapping investigation is conducted to gain a broad perception of subject. Some studies provide a thorough examination of addressing computer vision in relation to the following independent unmanned aerial vehicles vision establish chores such as navigation, control, back trace and sense.

In the Eyes of the Beholder: When Broad vs. Local Perception of Occupational Stigma Differ

In the Eyes of the Beholder: When Broad vs. Local Perception of Occupational Stigma Differ

Skin‐Mountable Vibrotactile Stimulator Based on Laterally Multilayered Dielectric Elastomer Actuators (Adv. Funct. Mater. 23/2023)

Dielectric Elastomer Actuators In article number 2213589, Kilwon Cho and co-workers report a flexible and skin-mountable vibrotactile-stimulator based on thin lateral dielectric elastomer actuators. The actuator shows a significant actuation at low operating voltage because of a laterally aligned dielectric multilayer structure with short dielectric distance and a soft elastomer/ionic liquid composite. The vibrotactile-stimulator covers a broad perception frequency/amplitude range of human skin.

Cognitive ability and creativity: Typology contributions and a meta-analytic review

Our meta-analysis provides a comprehensive examination of the correlation between cognitive ability and creativity. Introducing an integrative typology of creativity, we assess how, at the individual level, cognitive ability at Stratum III, as well as different cognitive ability dimensions at Stratum II from Carroll's (1993) Three-Stratum Theory, correlate with three creativity perspectives (person, process, and product), and different dimensions within them. Using 135 independent samples containing 65,829 subjects, we found an observed meta-analytic correlation between cognitive ability at Stratum III and overall creativity of 0.27 (the corrected mean correlation was 0.33). The mean correlation was strongest for variables in the process perspective of creativity. We also observed that the Stratum II dimensions of cognitive ability most strongly related to creativity are broad retrieval ability and broad visual perception. In addition, we found that several conceptual and methodological moderators (e.g., cognitive ability measure, creativity measure, creativity domain, type of ratings) had a noticeable impact on the strength of the meta-analytic correlation. Dominance and sensitivity analyses tended to support our meta-analytic results. We discuss our study's contributions and practical implications and suggest future research avenues.

Conceptual and Analytical Diversity of Environmental Governance in Latin America: A Systematic Review.

The analysis of environmental governance and the analytical frameworks used to study this concept in Latin America show that the term is diffuse and polysemic. The term governance refers to democratic societies that theoretically encourage the plural participation of actors in decision making to solve public or collective socioenvironmental problems. However, in Latin America, there is a broad social perception of a democratic deficit that affects the socioenvironmental sphere. The objective of this work is to determine the main trends in studies on environmental governance in Latin America, the most commonly used analytical frameworks and the predominant approaches to characterize the scientific and political uses of the concept. A systematic literature review is carried out on databases in English and Spanish, and 140 articles that consider environmental governance using various analytical frameworks are analyzed. The main finding is the predominance of a critical perspective on the effectiveness of environmental governance, as well as the associated institutional components and social organizations, because the democratic practices that should support it are questionable.

Rural residents' climate change perceptions, personal experiences, and purchase intention–behavior gap in energy-saving refrigeration appliances in Southwest China

In the context of climate change, energy-saving refrigeration appliances play an essential role in lowering carbon emissions. Based on survey data from interviews with rural residents in Chongqing, China, this study investigated residents' purchase intention, behavior, and intention–behavior gap with respect to energy-saving refrigeration appliances, including air conditioners and refrigerators. Econometric models were employed to identify the gap and explore its influencing factors from the aspects of rural residents' climate change perceptions and personal experiences. The results demonstrate that there is an intention–behavior gap. Among the rural residents interviewed, approximately 84.19% had intention, but only 20.99% exhibited consistent behavior. The findings indicate that the influencing factors on rural residents' purchase intention and actual behavior are different. One's perception of the possibility of climate change and the self-efficacy and family efficacy of climate change adaptation positively promote his or her intention, behavior, and intention–behavior conversion. However, one's perception of inefficacy and affective impression hinder intention, behavior, and intention–behavior conversion. Cost perception impedes behavior and intention–behavior consistency, while a broad and direct perception of relationships between climate change and energy use behavior can facilitate them, although this perception fails to influence intention. Climate hazards suffered and experiences of climate change adaptation can promote intention but hinder actual behavior, resulting in negative intention–behavior consistency. Based on these findings, some effective policy implications were put forward to enhance intention–behavior transformation and sustainable household carbon reduction in relation to energy-saving refrigeration appliances.

Humanization and Childhood Cancer

This paper seeks to address the complexity and importance of the appropriate management of children and adolescent oncology patients, for a broad perception of the humanized way that should be adopted in the relationship between doctor versus patient and doctor versus family. With this, it is aimed to understand the practical importance of the humanized approach, both for the family members and patients to face the disease in a lighter way, as well as for better adherence to treatment and an eventual more positive outcome. The analysis of the social consequences of facing a terminal disease is essential to understand the mitigation of these factors through a humanized approach. Above all, in relation to those responsible for the child under treatment, who suffer together and are the first to be notified about the evolution of the patient's clinical picture. Daily conduct is established to facilitate the patients' routine, such as activities that stimulate the children's creativity and promote their social interaction. Although it is not an escape from reality, it can be considered a less aggressive way of experiencing it. Following the discussion, the difficulties observed by childhood oncology patients, who face invasive procedures, as well as the constant presence of the possibility of death, are addressed. Therefore, this reality leads us to understand the need for a closer relationship between the physician and the patient and family members, to a humanized approach with the aim of alleviating suffering throughout the treatment.

Opinion Mining Using Enriched Joint Sentiment-Topic Model

Sentiment analysis has the potential to significantly impact several fields, such as trade, politics, and opinion extraction. Topic modeling is an intriguing concept used in emotion detection. Latent Dirichlet Allocation is an important algorithm in this subject. It investigates the semantic associations between terms in a text document and takes into account the influence of a subject on a word. Joint Sentiment-Topic model is a framework based on Latent Dirichlet Allocation method that investigates the influence of subjects and emotions on words. The emotion parameter is insufficient, and additional factors may be valuable in performance enhancement. This study presents two novel topic models that extend and improve Joint Sentiment-Topic model through a new parameter (the author’s view). The proposed methods care about the author’s inherent characteristics, which is the most important factor in writing a comment. The proposed models consider the effect of the author’s view on words in a text document. The author’s view means that the author creates an opinion in his mind about a product/thing before selecting the words for expressing the opinion. The new parameter has an immense effect on model accuracy regarding evaluation results. The first proposed method is author’s View-based Joint Sentiment-Topic model for Multi-domain. According to the evaluation results, the highest accuracy value in the first method is equal to 85%. It also has a lower perplexity value than other methods. The second proposed method is Author’s View-based Joint Sentiment-Topic model for Single-domain. According to the evaluation results, it achieves the highest accuracy with 95%. The proposed methods perform better than baseline methods with different topic number settings, especially the second method with 95% accuracy. The second method is a version of the first one, which outperforms baseline methods in terms of accuracy. These results demonstrate that the parameter of the author’s view improves sentiment classification at the document level. While not requiring labeled data, the proposed methods are more accurate than discriminative models such as Support Vector Machine (SVM) and logistic regression, based on the evaluation section’s outcomes. The proposed methods are simple with a low number of parameters. While providing a broad perception of connections between different words in documents of a single collection (single-domain) or multiple collections (multi-domain), the proposed methods have prepared solutions for two different situations (single-domain and multi-domain). The first proposed method is suitable for multi-domain datasets, but the second proposed method is suitable for single-domain datasets. While detecting emotion at the document level, the proposed models improve evaluation results compared to the baseline models. Eight datasets with different sizes have been used in implementations. For evaluations, this study uses sentiment analysis at the document level, perplexity, and topic coherency. Also, to see if the outcomes of the suggested models are statistically different from those of other algorithms, the Friedman test, a statistical analysis, is employed.

Social Representations of Violence among Brazilian Older People with Functional Dependence

Elder abuse is a multifactorial public health issue deeply affected by silence and discrimination. This paper aims to analyze the social representations of violence among older people with functional dependence based on the theory of social representations. A qualitative exploratory–descriptive study was conducted with a sample of 21 older people enrolled in a home-based program in Vitória da Conquista, Bahia, Brazil. A sociodemographic survey and an interview script were used for data collection. The data were analyzed using the content analysis technique and QSR NVivo® software. Concerning the social representations of violence, older people’s narratives revealed a broad perception of the phenomenon through the following categories: multivariate phenomenon, ageism, neglect, and denial. The identification of the subtle forms of violence against older people and the exploration of this issue from the perspective of these vulnerable people can contribute to the production of new knowledge and the creation of mechanisms by which to raise awareness of and prevent this issue, as well as to break the silence surrounding it through reporting.

Weighted Joint Sentiment-Topic Model for Sentiment Analysis Compared to ALGA: Adaptive Lexicon Learning Using Genetic Algorithm.

Latent Dirichlet Allocation (LDA) is an approach to unsupervised learning that aims to investigate the semantics among words in a document as well as the influence of a subject on a word. As an LDA-based model, Joint Sentiment-Topic (JST) examines the impact of topics and emotions on words. The emotion parameter is insufficient, and additional parameters may play valuable roles in achieving better performance. In this study, two new topic models, Weighted Joint Sentiment-Topic (WJST) and Weighted Joint Sentiment-Topic 1 (WJST1), have been presented to extend and improve JST through two new parameters that can generate a sentiment dictionary. In the proposed methods, each word in a document affects its neighbors, and different words in the document may be affected simultaneously by several neighbor words. Therefore, proposed models consider the effect of words on each other, which, from our view, is an important factor and can increase the performance of baseline methods. Regarding evaluation results, the new parameters have an immense effect on model accuracy. While not requiring labeled data, the proposed methods are more accurate than discriminative models such as SVM and logistic regression in accordance with evaluation results. The proposed methods are simple with a low number of parameters. While providing a broad perception of connections between different words in documents of a single collection (single-domain) or multiple collections (multidomain), the proposed methods have prepared solutions for two different situations (single-domain and multidomain). WJST is suitable for multidomain datasets, and WJST1 is a version of WJST which is suitable for single-domain datasets. While being able to detect emotion at the level of the document, the proposed models improve the evaluation outcomes of the baseline approaches. Thirteen datasets with different sizes have been used in implementations. In this study, perplexity, opinion mining at the level of the document, and topic_coherency are employed for assessment. Also, a statistical test called Friedman test is used to check whether the results of the proposed models are statistically different from the results of other algorithms. As can be seen from results, the accuracy of proposed methods is above 80% for most of the datasets. WJST1 achieves the highest accuracy on Movie dataset with 97 percent, and WJST achieves the highest accuracy on Electronic dataset with 86 percent. The proposed models obtain better results compared to Adaptive Lexicon learning using Genetic Algorithm (ALGA), which employs an evolutionary approach to make an emotion dictionary. Results show that the proposed methods perform better with different topic number settings, especially for WJST1 with 97% accuracy at |Z| = 5 on the Movie dataset.

Pengaruh Persepsi Muzaki terhadap Minat Membayar Zakat di BAZNAS

Muzaki's perception of zakat is important in influencing interest in paying zakat, because a broad perception of zakat will affect the interest of muzaki to pay zakat. The purpose of this study is to examine how much influence the perception of muzaki (variable X) has on interest in paying zakat (variable Y). In this study, the subject of this research is BAZNAS Tembilahan muzakki while the object of the research is the effect of muzakki's perception on interest in paying zakat. This type of research is quantitative research because the data obtained are a collection of numbers. By using a simple linear regression method. This research was conducted for 3 months. The results of the regression showed that the value of tcount > ttable was 9.666 > 2.068 with a significance of 0.000 <0.05. Thus, it can be concluded that there is a significant influence between the perception of muzakki on the interest in paying zakat at BAZNAS, Tembilahan District

MODERN INDIAN THEATRE – A NEW PERSPECTIVE

Before we start to talk about the Modern Indian Theatre, first we should understand the concept of Modern theatre in to- days world. Modernism is an art form which comes from western society during the nineteenth and twentieth century. It focuses on a broad perception of looking into the world. It includes the newly emerging artistic world and social t ra d i t i o n wh i c h ex p e r i m e n t w i t h d i f f e re n t f o r m s . Modernization is a movement or we can say that the artistic revolution where the shape of all art forms changed. In simple words we can say that this Modern art has departed from the traditional art form which it considered outdated or obsolete. Under this new form of art it includes the Abstract art, mixture of different art form etc

Workplace vaccination opportunity against COVID-19 contributed to high perceived organizational support of employees in Japan: A prospective cohort study.

ObjectivesPerceived organizational support is a broad perception by employees about the extent to which their employer values their contributions and cares about their well‐being. We examined the relationship between workplace vaccination opportunities for COVID‐19 provided by companies and increases and decreases in perceived organizational support, using a prospective cohort study.MethodsThis study was conducted between December 2020 and December 2021 using a self‐administered questionnaire survey in Japan. In total, 18 560 people responded to the follow‐up, and were included in this study. The odds ratios (ORs) for the association between company‐arranged vaccination opportunities and high perceived organizational support at the follow‐up for participants (a) with low perceived organizational support at the baseline (n = 4971), and (b) with high perceived organizational support at the baseline (n = 6912) were separately estimated using a multilevel logistic model.ResultsThe OR of high perceived organizational support at the follow‐up after low baseline levels was significantly higher in participants given a vaccination opportunity than those not given this opportunity (OR 1.49; 95% confidence interval [CI] 1.32–1.67; p < .001). The OR of high perceived organizational support at the follow‐up after high baseline levels was also significantly highly in participants given a vaccination opportunity than not (OR 1.38; 95% CI 1.23–1.54; p < .001). These significant differences remained after adjusting for workplace infection control measures.ConclusionsEmployee health support provided through a workplace vaccination program can contribute to high perceived organizational support.