"Sense"

Nurses' experiences and sense making of COVID- 19 redeployment and the impact on well- being, performance, and turnover intentions: a longitudinal multimethod study Nurses' experiences and sense making of COVID- 19 redeployment and the impact on well- being, performance, and turnover intentions: a longitudinal multimethod study | NIHR Journals Library opens in a new window Skip to main content Research Nurses' experiences and sense making of COVID- 19 redeployment and the impact on well- being, performance, and turnover intentions: a longitudinal multimethod study 1. Journals Library 2. Health and Social Care Delivery Research 3. Nurses' experiences and sense making of COVID- 19 redeployment and the impact on well- being, performance, and turnover intentions: a longitudinal multimethod study

A smoking cessation smartphone app that delivers real-time 'context aware' behavioural support: the Quit Sense feasibility RCT A smoking cessation smartphone app that delivers real-time 'context aware' behavioural support: the Quit Sense feasibility RCT * Text only * * Home * Journals * * Other NIHR research * * For authors * For reviewers * About * Policies * * Accessibility * Journals

Nurse education: Incivility impacts on sense of belonging in undergraduate nursing students Skip to main contentSubscribe Log In Basket Search Latest content Current issue Archive Write for Us About EBN BlogYou are hereHome Archive Volume 26, Issue 2Email alertsArticleTextArticleinfoCitationToolsShareRapid ResponsesArticlemetricsAlertsPDFCommentaryNurse educationIncivility impacts on sense between experiences of incivility from staff nurses and undergraduate nursing students’ sense of belonging to the nursing profession. Nurse Educ Pract. 2022 Jul;62:103320. doi: 10.1016/j.nepr.2022.103320. Epub 2022 Mar 7.Implications for practice and researchProfessional nursing bodies should provide guidelines promoting positive relationships and cases of incivility should be addressed through fitness

Open spaces and a sense of belonging improve wellbeing Open spaces and community cohesion improve wellbeing - NIHR EvidenceOpen spaces and community cohesion improve wellbeing - NIHR Evidence Skip to content * Accessibility options: * * Search articles Evidence * About Us * Browse content * Brain and Nerves * Birth Conditions * Blood * Cancer * Heart and Circulation * Dementia * Detection us * Homepage * > * Alert * > * Open spaces and a sense of belonging improve wellbeing Open spaces and a sense of belonging improve wellbeingPublic Health 09.06.22 doi: 10.3310/nihrevidence_51072 View commentaries on this research This is a plain English summary of an original research article. The views expressed are those of the author(s) and reviewer(s) at the time of publication. Someone’s

Pandemic experiences with manual ventilation and carbon dioxide (CO2) sensing in schools Skip to main contentFrançaisAbout UsResourcesCoursesEventsBlogHBE ForumPandemic experiences with manual ventilation and carbon dioxide (CO2) sensing in schoolsCOVID-19Indoor AirAngela EykelboshOct 19, 2022Download DocumentPrintJump toSelect a sectionKey MessagesIntroductionMethodologyResultsHow was manual ventilation carried out?How effective was manual ventilation as an emergency IAQ protocol?What factors increased ventilation effectiveness?Did manual ventilation or CO2 sensing create other undesired impacts?Did CO2 sensing improve ventilation effectiveness or reduce adverse impacts?Considerations for developing a manual ventilation protocolSelection of a CO2 thresholdSelecting a CO2 sensorEvaluating

The impact of adverse childhood experiences on pain and subjective cognitive decline in patients treated for localized breast cancer: The mediating role of sense of coherence, sense of danger and psychosocial distress and danger. Pain and subjective cognitive decline (SCD) are common sequala of breast cancer (BC) treatment. Adverse childhood experiences (ACEs) are associated with pain and adverse health outcomes in noncancer population. Sense of coherence (SOC) reflects the disposition that life is manageable and predictable. Sense of danger (SOD) is the extent of perceived danger to oneself and family from a specific stressor. We aimed to assess if ACEs are associated with pain and SCD in patients treated for localized BC, and whether decreased SOC, increased SOD from BC, and increased

A standing frame allows people with severe multiple sclerosis to enjoy a sense of normality NIHR Evidence - A standing frame allows people with severe multiple sclerosis to enjoy a sense of normality - Informative and accessible health and care researchA standing frame can help in severe multiple sclerosis - NIHR Evidence * * Evidence * About Us * Browse content * Brain and Nerves * Birth ?What’s next?You may be interested to read Menu * Browse content * About Us * Glossary * Contact us * Site map * Cookies * Homepage * > * A standing frame allows people with severe multiple sclerosis to enjoy a sense of normalityA standing frame allows people with severe multiple sclerosis to enjoy a sense of normalityBrain and Nerves07.09.21doi: 10.3310/alert_47499Video Captions[Text on screen

Sense-making strategies and help-seeking behaviours associated with urgent care services: a mixed-methods study Sense-making strategies and help-seeking behaviours associated with urgent care services: a mixed-methods study * Text only * * Home * Journals * * Other NIHR research * * For authors * For reviewers * About * * Accessibility * Journals LibraryNHS NIHR - National Institute * Download report documents * Download report documents * * Disclosure of interest * * * Download report XML * * Citation Tools * Print * * * * Responses to this report (0) * Permissions information View ProjectThis study constructed a typology that distinguished three types of work in relation to urgent care sense-making and help-seeking and developed

Household food insecurity, living conditions, and individual sense of security: A cross-sectional survey among Burkina Faso refugees in Ghana. Food insecurity and achieving adequate nutrition is a major global challenge, especially in vulnerable groups such as refugee communities. In West Africa, thousands of Burkina Faso refugees have crossed the border into northern Ghana due to conflict and instability in their home country. We conducted a one-off cross-sectional survey to assess household food insecurity, living conditions, and sense of security among Burkina Faso refugees currently residing in the Upper East region of Ghana. Study data was collected over 14-21 October 2022 from 498 refugee households, via registered refugee households who were contacted with the help of the community refugee

SAASNets: Shared attention aggregation Siamese networks for building change detection in multispectral remote sensing. Interfered by external factors, the receptive field limits the traditional CNN multispectral remote sensing building change detection method. It is difficult to obtain detailed building changes entirely, and redundant information is reused in the encoding stage, which reduces the feature representation and detection performance. To address these limitations, we design a Siamese network of shared attention aggregation to learn the detailed semantics of buildings in multispectral remote sensing images. On the one hand, a special attention embedding module is introduced into each subspace of the feature extractor to promote the interaction between multi-scale local features

Correction: The performance of a lateral flow SARS-CoV-2 antibody assay and semi-autonomous SARS-CoV-2 antisense and sense RNA fluorescence in situ hybridization assay in a prospective cohort pilot study within a Dutch military population. [This corrects the article DOI: 10.1371/journal.pone.0309091.].

Coupling SAR and optical remote sensing data for soil moisture retrieval over dense vegetation covered areas. Soil moisture is a key parameter for the exchange of substance and energy at the land-air interface, timely and accurate acquisition of soil moisture is of great significance for drought monitoring, water resource management, and crop yield estimation. Synthetic aperture radar (SAR ) is sensitive to soil moisture, but the effects of vegetation on SAR signals poses challenges for soil moisture retrieval in areas covered with vegetation. In this study, based on Sentinel-1 SAR and Sentinel-2 optical remote sensing data, a coupling approach was employed to retrieval surface soil moisture over dense vegetated areas. Different vegetation indices were extracted from Sentinel-2 data to establish

A novel multi-user collaborative cognitive radio spectrum sensing model: Based on a CNN-LSTM model. Cognitive Radio (CR) technology enables wireless devices to learn about their surrounding spectrum environment through sensing capabilities, thereby facilitating efficient spectrum utilization without interfering with the normal operation of licensed users. This study aims to enhance spectrum sensing in multi-user cooperative cognitive radio systems by leveraging a hybrid model that combines Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. A novel multi-user cooperative spectrum sensing model is developed, utilizing CNN's local feature extraction capability and LSTM's advantage in handling sequential data to optimize sensing accuracy and efficiency. Furthermore

Distribution of ilmenite minerals in placer deposits along the middle coast of Southern Brazil using spaceborne and ground-based remote sensing. Titanium oxide is of fundamental strategic importance in the global market as it is used as a raw material by several industries, such as medical prostheses, paints, pigments, and, more recently, electronic chips. The main source of titanium oxide

Land cover classification of high-resolution remote sensing images based on improved spectral clustering. Applying unsupervised classification techniques on remote sensing images enables rapid land cover classification. Using remote sensing imagery from the ZY1-02D satellite's VNIC and AHSI cameras as the basis, multi-source feature information encompassing spectral, edge shape, and texture

The transition to an activity-based workplace: Experiences of managers and employees from a sense of coherence perspective in public sector workplaces. The Activity-Based Workplace (ABW) is an increasingly popular office design that aims to facilitate new ways of working. Research focusing on the effects of ABWs on various outcomes is growing but there is a lack of studies looking at how managers and employees perceive the transition to ABWs from a salutogenic health-promotion perspective. This study aims to explore how managers and employees experienced a transition period to ABWs through the lens of a sense of coherence. A qualitative design was applied through semi-structured interviews with six managers and focus group interviews with nine employees working in the public sector

Method for building segmentation and extraction from high-resolution remote sensing images based on improved YOLOv5ds. To address challenges in remote sensing images, such as the abundance of buildings, difficulty in contour extraction, and slow update speeds, a high-resolution remote sensing image building segmentation and extraction method based on the YOLOv5ds network structure was proposed

Deep image features sensing with multilevel fusion for complex convolution neural networks & cross domain benchmarks. Efficient image retrieval from a variety of datasets is crucial in today's digital world. Visual properties are represented using primitive image signatures in Content Based Image Retrieval (CBIR). Feature vectors are employed to classify images into predefined categories and recall, and mean average precision and recall rates across various image semantic groups within versatile datasets. The integration of traditional feature extraction methods fusion with multilevel CNN advances image sensing and retrieval systems, promising more accurate and efficient image retrieval solutions.

Psychometric properties of the Bangla version of the sense of coherence scale among university students in Bangladesh. Sense of coherence is a key concept in psychological science that contributes to mental health by helping people cope with various stressors in their daily lives. A literature review demonstrated the unavailability of a tool for measuring sense of coherence in Bangladesh . This study aimed to translate the 13-item Sense of Coherence scale (SOC-13) into the Bangla language and to examine its validity, dimensionality, and reliability. After translating the SOC-13, a cross-sectional online survey was conducted with 510 undergraduate students at a university in Bangladesh from July to October 2021. Construct validity was assessed through confirmatory factor analysis to analyze

Inversion and analysis of leaf area index (LAI) of urban park based on unmanned aerial vehicle (UAV) multispectral remote sensing and random forest (RF). Leaf Area Index (LAI) is a critical indicator of vegetation growth and ecological function. Unlike the relatively uniform crop types and planting methods typically found in agricultural fields, parks typically feature a diverse range of plant species, varied configurations, and complex vertical structures, making LAI estimation more complex and challenging. To improve the accuracy of LAI estimation in urban parks, this study, by combining unmanned aerial vehicle (UAV) multispectral remote sensing technology with Random Forest (RF) to conduct the inversion and analysis of LAI in Xinxiang People's Park. High-resolution images are obtained