• MeSH
• matematika MeSH
• metoda nejmenších čtverců MeSH
• Publikační typ
• monografie MeSH

• Konspekt
• Kombinatorika. Teorie grafů. Matematická statistika. Operační výzkum. Matematické modelování
• NLK Obory
• statistika, zdravotnická statistika

Accurate geometrical models of the head are necessary for solving the forward and inverse problems of magneto- and electro-encephalography (MEG/EEG). Boundary element methods (BEMs) require a geometrical model describing the interfaces between different tissue types. Classically, head models with a nested volume topology have been used. In this paper, we demonstrate how this constraint can be relaxed, allowing us to model more realistic head topologies. We describe the symmetric BEM for this new model. The symmetric BEM formulation uses both potentials and currents at the interfaces as unknowns and is in general more accurate than the alternative double-layer formulation.

• MeSH
• algoritmy MeSH
• biologické modely MeSH
• elektroencefalografie metody   MeSH
• financování organizované MeSH
• hlava anatomie a histologie   MeSH
• lidé MeSH
• magnetoencefalografie metody   MeSH
• počítačová simulace MeSH
• Check Tag
• lidé MeSH

A new approach to 2-D blind deconvolution of ultrasonic images in a Bayesian framework is presented. The radio-frequency image data are modeled as a convolution of the point-spread function and the tissue function, with additive white noise. The deconvolution algorithm is derived from statistical assumptions about the tissue function, the point-spread function, and the noise. It is solved as an iterative optimization problem. In each iteration, additional constraints are applied as a projection operator to further stabilize the process. The proposed method is an extension of the homomorphic deconvolution, which is used here only to compute the initial estimate of the point-spread function. Homomorphic deconvolution is based on the assumption that the point-spread function and the tissue function lie in different bands of the cepstrum domain, which is not completely true. This limiting constraint is relaxed in the subsequent iterative deconvolution. The deconvolution is applied globally to the complete radiofrequency image data. Thus, only the global part of the point-spread function is considered. This approach, together with the need for only a few iterations, makes the deconvolution potentially useful for real-time applications. Tests on phantom and clinical images have shown that the deconvolution gives stable results of clearly higher spatial resolution and better defined tissue structures than in the input images and than the results of the homomorphic deconvolution alone.

• MeSH
• algoritmy MeSH
• Bayesova věta MeSH
• interpretace obrazu počítačem metody   MeSH
• reprodukovatelnost výsledků MeSH
• rozpoznávání automatizované metody   MeSH
• senzitivita a specificita MeSH
• ultrasonografie metody   MeSH
• umělá inteligence MeSH
• vylepšení obrazu metody   MeSH
• Publikační typ
• práce podpořená grantem MeSH

Introduction: The main goal of the work is to analyze how social workers identify their specific competencies regarding the general characteristics of the workplace and how they subjectively evaluate their abilities and capabilities to fulfill these competencies in the Ústecký region in Czechia. Methods: The data were obtained from a combined convenience online and paper-pencil survey. Respondents were employees of the 48 social services organizations in the Ústecký region: 101 females and six males. The one-factor analysis of variance comparing means and two non-parametric tests, the Friedman test and Kendall's W test, was employed, as well as Spearman's rank correlation coefficients for data analysis. Results: The most significant part of the working time of the respondents is devoted to the administration working with clients. Social workers primarily use communication skills and knowledge of social work methods. On the other hand, they use language skills and research methods sparingly. Respondents recognize the essential skills to solve crises, make quick decisions, and control their emotions. On the other hand, they consider writing project applications, raising money, managing people, and creativity the least necessary skills. The respondents find demanding administration the most difficult. On the other hand, they have the most minor problems with identifying clients' needs, determining the goals and methods to achieve them, and working with clients from different cultural backgrounds. The respondents mostly solve the dilemmas of the number of clients and time constraints of the social worker, as well as practical problem-solving and legislative constraints. Conclusion: The social workers' activities are divided into administrative and direct work with people. Communication skills and knowledge of social work methods are considered most important for fulfilling professional duties. The possibility of finding quick solutions in a crisis helps them to achieve these duties.

• MeSH
• komunikace MeSH
• lidé MeSH
• odborná způsobilost MeSH
• průzkumy a dotazníky MeSH
• rozhodování MeSH
• sociální práce * organizace a řízení   MeSH
• Check Tag
• lidé MeSH
• Geografické názvy
• Česká republika MeSH

• MeSH
• biologická evoluce MeSH
• biologie MeSH
• inteligence MeSH
• myšlení MeSH
• vývoj člověka MeSH

• Konspekt
• Biologické vědy
• NLK Obory
• biologie
• přírodní vědy

• MeSH
• monitorování životního prostředí MeSH
• sanitace statistika a číselné údaje   MeSH
• zásobování vodou statistika a číselné údaje   MeSH

• Konspekt
• Veřejné zdraví a hygiena
• NLK Obory
• environmentální vědy
• veřejné zdravotnictví
• environmentální vědy
• NLK Publikační typ
• publikace WHO

BACKGROUND: Despite the increasing use of remote measurement technologies (RMT) such as wearables or biosensors in health care programs, challenges associated with selecting and implementing these technologies persist. Many health care programs that use RMT rely on commercially available, "off-the-shelf" devices to collect patient data. However, validation of these devices is sparse, the technology landscape is constantly changing, relative benefits between device options are often unclear, and research on patient and health care provider preferences is often lacking. OBJECTIVE: To address these common challenges, we propose a novel device selection framework extrapolated from human-centered design principles, which are commonly used in de novo digital health product design. We then present a case study in which we used the framework to identify, test, select, and implement off-the-shelf devices for the Remote Assessment of Disease and Relapse-Central Nervous System (RADAR-CNS) consortium, a research program using RMT to study central nervous system disease progression. METHODS: The RADAR-CNS device selection framework describes a human-centered approach to device selection for mobile health programs. The framework guides study designers through stakeholder engagement, technology landscaping, rapid proof of concept testing, and creative problem solving to develop device selection criteria and a robust implementation strategy. It also describes a method for considering compromises when tensions between stakeholder needs occur. RESULTS: The framework successfully guided device selection for the RADAR-CNS study on relapse in multiple sclerosis. In the initial stage, we engaged a multidisciplinary team of patients, health care professionals, researchers, and technologists to identify our primary device-related goals. We desired regular home-based measurements of gait, balance, fatigue, heart rate, and sleep over the course of the study. However, devices and measurement methods had to be user friendly, secure, and able to produce high quality data. In the second stage, we iteratively refined our strategy and selected devices based on technological and regulatory constraints, user feedback, and research goals. At several points, we used this method to devise compromises that addressed conflicting stakeholder needs. We then implemented a feedback mechanism into the study to gather lessons about devices to improve future versions of the RADAR-CNS program. CONCLUSIONS: The RADAR device selection framework provides a structured yet flexible approach to device selection for health care programs and can be used to systematically approach complex decisions that require teams to consider patient experiences alongside scientific priorities and logistical, technical, or regulatory constraints.

• MeSH
• lidé MeSH
• technologie MeSH
• telemedicína * MeSH
• zdravotnický personál MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

Functional trait differences among species are increasingly used to infer the effects of biotic and abiotic processes on species coexistence. Commonly, the trait diversity observed within communities is compared to patterns simulated in randomly generated communities based on sampling within a region. The resulting patterns of trait convergence and divergence are assumed to reveal abiotic and biotic processes, respectively. However, biotic processes such as competition can produce both trait divergence and convergence, through either excluding similar species (niche differences, divergence) or excluding dissimilar species (weaker competitor exclusion, convergence). Hence, separating biotic and abiotic processes that can produce identical patterns of trait diversity, or even patterns that neutralize each other, is not feasible with previous methods. We propose an operational framework in which the functional trait dissimilarity within communities (FDcomm) is compared to the corresponding trait dissimilarity expected from the species pool (i.e., functional species pool diversity, FDpool). FDpool includes the set of potential species for a site delimited by the operating environmental and dispersal limitation filters. By applying these filters, the resulting pattern of trait diversity is consistent with biotic processes, i.e., trait divergence (FDcomm > FDpool) indicates niche differentiation, while trait convergence (FDcomm < FDpool) indicates weaker competitor exclusion. To illustrate this framework, with its potential application and constraints, we analyzed both simulated and field data. The functional species pool framework more consistently detected the simulated trait diversity patterns than previous approaches. In the field, using data from plant communities of typical Northern European habitats in Estonia, we found that both niche-based and weaker competitor exclusion influenced community assembly, depending on the traits and community considered. In both simulated and field data, we demonstrated that only by estimating the species pool of a site is it possible to differentiate the patterns of trait dissimilarity produced by operating biotic processes. The framework, which can be applied with both functional and phylogenetic diversity, enables a reinterpretation of community assembly processes. Solving the challenge of defining an appropriate reference species pool for a site can provide a better understanding of community assembly.

• MeSH
• biologické modely MeSH
• druhová specificita MeSH
• ekosystém MeSH
• fyziologie rostlin MeSH
• rostliny klasifikace   MeSH
• zvířata MeSH
• Check Tag
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Estonsko MeSH

Multidisciplinary and highly dynamic pHealth ecosystems according to the 5P Medicine paradigm require careful consideration of systems integration and interoperability within the domains knowledge space. The paper addresses the different aspects or levels of knowledge representation (KR) and management (KM) from cognitive theories (theories of knowledge) and modeling processes through notation up to processing, tooling and implementation. Thereby, it discusses language and grammar challenges and constraints, but also development process aspects and solutions, so demonstrating the limitation of data level considerations. Finally, it presents the ISO 23903 Interoperability and Integration Reference Architecture to solve the addressed problems and to correctly deploy existing standards and work products at any representational level including data models as well as data model integration and interoperability.

• MeSH
• ekosystém * MeSH
• jazyk (prostředek komunikace) MeSH
• systémová integrace * MeSH
• Publikační typ
• časopisecké články MeSH

• MeSH
• chování MeSH
• psychologie aplikovaná MeSH
• Publikační typ
• monografie MeSH

• Konspekt
• Psychologie
• NLK Obory
• psychologie, klinická psychologie