Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of e-Health in Norwegian FACT Teams: A User Perspective

Flexible assertive community treatment (FACT) is a model for delivering long-term, integrated and comprehensive treatment and follow-up for patients with severe mental illness. The objective of this study was to examine ICT challenges of Norwegian FACT teams. Doing observations in 3 teams and interviews with 5 teams we examined use of ICT systems, identifying challenges with the use of the electronic whiteboards, electronic health records, and team calendars. Better ICT systems and infrastructure are needed to support Norwegian FACT teams.
Interactions between Brainstem Neurons That Regulate the Motility to the Stomach

Activity in the dorsal vagal complex (DVC) is essential to gastric motility regulation. We and others have previously shown that this activity is greatly influenced by local GABAergic signaling, primarily because of somatostatin (SST)-expressing GABAergic neurons. To further understand the network dynamics associated with gastric motility control in the DVC, we focused on another neuron prominently distributed in this complex, neuropeptide-Y (NPY) neurons. However, the effect of these neurons on gastric motility remains unknown. Here, we investigate the anatomic and functional characteristics of the NPY neurons in the nucleus tractus solitarius (NTS) and their interactions with SST neurons using transgenic mice of both sexes. We sought to determine whether NPY neurons influence the activity of gastric-projecting neurons, synaptically interact with SST neurons, and affect end-organ function. Our results using combined neuroanatomy and optogenetic in vitro and in vivo show that NPY neurons are part of the gastric vagal circuit as they are trans-synaptically labeled by a viral tracer from the gastric antrum, are primarily excitatory as optogenetic activation of these neurons evoke EPSCs in gastric-antrum-projecting neurons, are functionally coupled to each other and reciprocally connected to SST neurons, whose stimulation has a potent inhibitory effect on the action potential firing of the NPY neurons, and affect gastric tone and motility as reflected by their robust optogenetic response in vivo. These findings indicate that interacting NPY and SST neurons are integral to the network that controls vagal transmission to the stomach. SIGNIFICANCE STATEMENT The brainstem neurons in the dorsal nuclear complex are essential for regulating vagus nerve activity that affects the stomach via tone and motility. Two distinct nonoverlapping populations of predominantly excitatory NPY neurons and predominantly inhibitory SST neurons form reciprocal connections with each other in the NTS and with premotor neurons in the dorsal motor nucleus of the vagus to control gastric mechanics. Light activation and inhibition of NTS NPY neurons increased and decreased gastric motility, respectively, whereas both activation and inhibition of NTS SST neurons enhanced gastric motility
Perception of an object’s global shape is best described by a model of skeletal structure in human infants

Categorization of everyday objects requires that humans form representations of shape that are tolerant to variations among exemplars. Yet, how such invariant shape representations develop remains poorly understood. By comparing human infants (6–12 months; N=82) to computational models of vision using comparable procedures, we shed light on the origins and mechanisms underlying object perception. Following habituation to a never-before-seen object, infants classified other novel objects across variations in their component parts. Comparisons to several computational models of vision, including models of high-level and low-level vision, revealed that infants’ performance was best described by a model of shape based on the skeletal structure. Interestingly, infants outperformed a range of artificial neural network models, selected for their massive object experience and biological plausibility, under the same conditions. Altogether, these findings suggest that robust representations of shape can be formed with little language or object experience by relying on the perceptually invariant skeletal structure.
Simulation of a spiking neuron circuit using carbon nanotube transistors

Neuromorphic engineering is related to the existing analogies between the physical semiconductor VLSI (Very Large Scale Integration) and biophysics. Neuromorphic systems propose to reproduce the structure and function of biological neural systems for transferring their calculation capacity on silicon. Since the innovative research of Carver Mead, the neuromorphic engineering continues to emerge remarkable implementation of biological system. This work presents a simulation of an elementary neuron cell with a carbon nanotube transistor (CNTFET) based technology. The model of the cell neuron which was simulated is called integrate and fire (IF i.e CNTFET on the design of such architecture in terms of power consumption and technology integration de.
ERRATUM

The electrostatic pull-in instability of a cantilever beam MEMS switches with considering the linear positive and negative stress gradient is studied in this paper. The nonlinear differential equation of the pull-in instability is solved by central finite-difference method. The stress gradient is modelled as built-in moment acting on the cantilever. Unlike the previous linear models, it is shown that the response of the pull-in instability to the stress gradient is nonlinear. The presented model with the numerical solution can offer an efficient tool for design and optimization of cantilever-like MEMS switches. Conclusions Using central finite-difference method, the electrostatic pull-in instability of a cantilever-like MEMS switches incorporating linear positive and negative stress gradient was investigated. The model approximated the stress gradient as built-in moment that effectively changed the initial gap between the cantilever and the substrate. One of the important findings of this paper is that the response of pull-in instability in cantilevers to the linear stress gradient is highly nonlinear, and therefore, it has to be included in the design of MEMS switches. It can be also used as a material properties characterization tools for measuring the amplitude of stress gradient. The Influence of Stress Gradient on the Pull-in Phenomena of Microelectromechanical Switches H Sadeghian, Gh Rezazadeh Mech. Eng. Dept., Urmia University, Urmia, Iran St_h. sadeghian@mail.urmia. ac.ir , g.rezazadeh@mail.urmia. ac.ir Abstract. The electromechanical behaviour of cantilever beam MEM switches incorporating linear residual stress gradient is studied in this work. Using Finite-difference method (FDM), behavioural models that predict the electrostatic deflection and pull-in voltage of such structures have been established. The model accounts for the effect of residual stress gradient on the mechanical behaviour of the cantilever MEM switches, and results have been validated via comparison with experimental data. The completed model offers an efficient means of design, analysis and optimization of cantilever-based electrostatically actuated MEMS devices. It can also be utilized for material property measurement and analysis. The electromechanical behaviour of cantilever beam MEM switches incorporating linear residual stress gradient is studied in this work. Using Finite-difference method (FDM), behavioural models that predict the electrostatic deflection and pull-in voltage of such structures have been established. The model accounts for the effect of residual stress gradient on the mechanical behaviour of the cantilever MEM switches, and results have been validated via comparison with experimental data. The completed model offers an efficient means of design, analysis and optimization of cantilever-based electrostatically actuated MEMS devices. It can also be utilized for material property measurement and analysis.
Handling parametric assumptions in principal causal effect estimation using Gaussian mixtures

Given the latent stratum membership, principal stratification models with continuous outcomes naturally fit in the parametric estimation framework of Gaussian mixtures. However, with models that are not nonparametrically identified, relying on parametric mixture modeling has been mostly discouraged as a way of identifying principal effects. This study revisits this rather deserted use of parametric mixture modeling, which may open up various possibilities in principal stratification modeling. The main problem with using the parametric mixture modeling approach is that it is hard to assess the quality of principal effect estimates given its reliance on parametric conditions. As a way of assessing the estimation quality in this situation, this study proposes that we use parametric mixture modeling in two different ways, with and without the assurance of nonparametric identification. The key identifying assumption employed in this study is the moving exclusion restriction, a flexible version of the standard exclusion restriction assumption. This assumption is used as a temporary vehicle to help assess the quality of principal effect estimates obtained relying on parametric mixture modeling. The study presents promising results, showing the possibility of using parametric mixture modeling as an accessible tool for causal inference.
Acute alcohol intoxication: a clinical overview.

Abstract Alcohol is a legal and yet detrimental psychoactive substance, capable of establishing addiction and impacting the physical, mental, social, and economic health of people. Alcohol intake causes a large variety of tissue damages severely impacting the nervous system, digestive and cardiovascular systems and causing oral cavity, oropharyngeal, hypopharyngeal, esophageal, colon-rectal, laryngeal, liver and intrahepatic bile duct, and breast cancers. Alcohol can also play a role in the pathogenesis of diabetes mellitus, cardiomyopathy and hemorrhagic strokes. When drunk during pregnancy it is proved to be responsible for serious damage to fetuses causing a wide range of pathological conditions from miscarriage to Fetal Alcoholic Spectrum Disorder (FASD). Acute ethanol intoxication happens when the amount of alcohol consumed is greater than the disposal capacity of the liver, causing an accumulation of its metabolites displayed by initial dysphoria and disinhibition. Nausea, vomiting, memory loss could happen. Although, it can lead to more serious conditions like impaired speaking, impaired coordination, unstable gait, nystagmus, stupor, or coma. Respiratory depression and death could also happen in such cases. Unfortunately, diagnosis of acute alcohol intoxication is difficult because most of the drinkers deny or minimize their assumption. It is dramatically important to assess when the last intake happened to avoid withdrawal syndrome. Alcohol acute intoxication can be considered a serious harm to health and a relevant issue for healthcare provid-ers working in emergency rooms. Differential diagnosis is crucial to avoid serious outcomes. There is no consensus about therapies for acute intoxication, but supportive and symptomatic treatments were proved effective. The repercussions of alcohol misuse over drinkers' social, familiar, economical and working life enhance the importance of a multidisciplinary approach in such cases.
Functional and Technical Aspects of Self-management mHealth Apps: Systematic App Search and Literature Review

Background Although the past decade has witnessed the development of many self-management mobile health (mHealth) apps that enable users to monitor their health and activities independently, there is a general lack of empirical evidence on the functional and technical aspects of self-management mHealth apps from a software engineering perspective. Objective This study aims to systematically identify the characteristics and challenges of self-management mHealth apps, focusing on functionalities, design, development, and evaluation methods, as well as to specify the differences and similarities between published research papers and commercial and open-source apps. Methods This research was divided into 3 main phases to achieve the expected goal. The first phase involved reviewing peer-reviewed academic research papers from 7 digital libraries, and the second phase involved reviewing and evaluating apps available on Android and iOS app stores using the Mobile Application Rating Scale. Finally, the third phase involved analyzing and evaluating open-source apps from GitHub. Results In total, 52 research papers, 42 app store apps, and 24 open-source apps were analyzed, synthesized, and reported. We found that the development of self-management mHealth apps requires significant time, effort, and cost because of their complexity and specific requirements, such as the use of machine learning algorithms, external services, and built-in technologies. In general, self-management mHealth apps are similar in their focus, user interface components, navigation and structure, services and technologies, authentication features, and architecture and patterns. However, they differ in terms of the use of machine learning, processing techniques, key functionalities, inference of machine learning knowledge, logging mechanisms, evaluation techniques, and challenges. Conclusions Self-management mHealth apps may offer an essential means of managing users’ health, expecting to assist users in continuously monitoring their health and encourage them to adopt healthy habits. However, developing an efficient and intelligent self-management mHealth app with the ability to reduce resource consumption and processing time, as well as increase performance, is still under research and development. In addition, there is a need to find an automated process for evaluating and selecting suitable machine learning algorithms for the self-management of mHealth apps. We believe that these issues can be avoided or significantly reduced by using a model-driven engineering approach with a decision support system to accelerate and ameliorate the development process and quality of self-management mHealth apps.
How fungal multidrug transporters mediate hyper resistance through DNA amplification and mutation

A significant portion of clinically observed antifungal resistance is mediated by ATP‐binding cassette (ABC) and major facilitator superfamily (MFS) transport pumps that reside in the plasma membrane. We review the mechanisms responsible for this phenomenon. Hyper resistance is often brought about by several kinds of DNA amplification or by gain‐of‐function mutations in a variety of transcription factors. Both of these result in overexpression of ABC and MFS transporters. Recently, however, several additional modes of resistance have been observed. These include mutations in non‐conserved nucleotides leading to altered mRNA stability and a mutation in yeast transporter Pdr5, which improves cooperativity between drug‐binding sites.
Mother-Child Interaction of Boys With ADHD: A Behavioral Observation Study

Purpose: Investigate the quality of mothers’ interactions with children with ADHD and a marginal disturbance in socioemotional competence (MDSC). Research Methods: A total of 49 mother-boy dyads were included, and we observed their communication on neutral and conflict topics for children with ADHD and MDSC, children with ADHD alone, and children with typical development (TD). The Chinese version of the Specific Affect Coding System 20-code was used to examine the affective presentation in communication. Results: Mothers of children with ADHD and MDSC had less negative disengagement affect compared with those of children with ADHD alone. Boys with ADHD and MDSC and boys with TD had constant positive engagement between neutral and conflict conditions in parent-child interaction. Boys with ADHD and MDSC had significantly less positive affect and more neutral affect than children with ADHD only. Conclusions and Implications: Boys with ADHD and MDSC and their mothers had worse quality of observed mother-child communication than children with ADHD only and their mothers.
Recombinant human brain natriuretic peptide ameliorates venous return function in congestive heart failure

Recombinant human brain natriuretic peptide (rh‐BNP) is commonly used as a decongestive therapy. This study aimed to investigate the instant effects of rh‐BNP on cardiac output and venous return function in post‐cardiotomy patients with congestive heart failure (CHF).
Factors related to the quality of life of mothers of children with Congenital Zika Virus Syndrome.

OBJECTIVE To relate sociodemographic and clinical aspects to the quality of life of mothers of children with Congenital Zika Virus Syndrome. METHOD Cross-sectional analytical study, conducted in a rehabilitation center in Goiânia, central region of Brazil. A sociodemographic and clinical profile questionnaire and the World Health Organization Quality of Life were used. Data analysis was performed using the Mann-Whitney tests; Kruskal-Wallis, followed by Dunnett's Post hoc; and Spearman's correlation. RESULTS The sample consisted of 30 mothers of children with Congenital Zika Virus Syndrome, with a mean age of 30.57 ± 6.67 years. Mothers who had a partner, leisure activity, who used a car as a means of transport and who had a child with congenital syndrome with microcephaly had a better quality of life (p<0,05). CONCLUSION The quality of life of these mothers was related to sociodemographic and clinical aspects, which suggests the need for more specific public policies for this population.
Proteomic and microbiota analyses of the oral cavity during psychological stress

Psychological stress is associated with various oral diseases such as aphthous stomatitis, oral lichen planus, taste disturbances and glossodynia. However, the underlying mechanism is still unknown. The aim of this study was to determine the effect of psychological stress on salivary proteins and the oral microbiota in a rat model of chronic restraint stress. Six-week-old Sprague Dawley rats were subjected to restraint stress for four hours daily for 1 month. The behavior, weights of the adrenal glands, and serum corticosterone levels were evaluated as stress markers. Proteomic analysis of the saliva was performed using two-dimensional gel electrophoresis followed by mass spectrometry and Western blotting. Analysis of the oral microbiota was performed via 16S rRNA next-generation sequencing. The low mean body weights, lower number of entries and time spent in the open arm of elevated plus maze, high adrenal gland/body weight ratios, and high serum corticosterone levels confirmed the high levels of stress in the stress group of rats compared to the controls. Thirty-three protein spots were found to be significantly altered between the two groups. After silver staining, seven visible spots were subjected for mass spectrometry, and the expression levels of the two most significantly altered proteins, BPI fold containing family A member 2 and von Ebner’s gland protein, were confirmed by Western blotting. 16S rRNA sequencing analysis revealed a significant reduction in alpha diversity in the stress group compared to the controls. The abundances of oral bacteria, such as Facklamia and Corynebacterium, were significantly altered between the two groups. Additionally, analysis with PICRUSt2 software predicted 37 different functional pathways to be altered between the groups. In conclusion, the present study identified altered salivary proteins and oral microbiota due to psychological stress. These findings might aid in understanding the pathogenesis of stress-related oral diseases.
Using player types to understand cooperative behaviour under economic and sociocultural heterogeneity in common-pool resources: Evidence from lab experiments and agent-based models

Rising migration numbers and the resulting increase in economic and sociocultural heterogeneity in societies all over the world are theorised to put pressure on the sustainable use of common-pool resources [CPRs]. Increased heterogeneity is argued to decrease trust and diversify interests between resource users, leading to overuse and decline of natural and man-made CPRs. The aim of this paper is to understand cooperative behaviour under economic and sociocultural heterogeneity in CPRs, through the analyses of experimental data including 344 subjects from the United Kingdom and the Netherlands, and 144 subjects from India. Multilevel regression, ordinal logistic regression, linear conditional-contribution profiles [LCPs] and agent-based models [ABMs] are used to analyse and replicate experimental outcomes on the micro- and macro-level. Results show that the combination of economic and sociocultural heterogeneity affects cooperation negatively when the decision-situation is perceived as unfair, but that neither economic nor sociocultural heterogeneity on themselves affect cooperation negatively. Economic heterogeneity is even found to affect cooperation positively relative to homogeneity. Player type classification based on LCP scores shows that experimental outcomes can be interpreted with player types, and ABM simulations validate the experimental results by replicating the main outcomes.
Effects of Long-duration Microgravity and Gravitational Transitions on Fine Motor Skills

Objective Assess the effects of long-duration microgravity and gravitational transitions on fine motor skills using a tablet-based test battery of four fine motor tasks: Pointing, Dragging, Shape Tracing, and Pinch-Rotate. Background While there have been some studies on fine motor skills in microgravity, few have measured the fine motor skills that are core components of interaction with computer-based devices, and none have measured performance systematically, to include preflight, inflight, and postflight space mission time periods. Methods Seven astronauts completed the Fine Motor Skills test battery 30–40 times before, during, and up to 30 days after standard duration International Space Station missions, while a matching set of seven ground-based control participants also completed the battery over a comparable period of time. Response time and accuracy were the primary outcome measures. Results Relative to controls, astronauts experienced fine motor skill decrements at gravitational transitions (first week on orbit, and first month post landing). No decrements were found inflight after the first week of adaptation. Conclusion Gravitational transitions appear to negatively impact fine motor skills needed to operate small controls with accuracy, such as those on touchscreen interfaces. This raises concerns for future long-duration crewmembers who will land on a planetary surface and need to perform critical tasks accurately, such as configuring spacesuits, powering up a habitat, or teleoperating rovers. Application Results from this study highlight the need for confirmatory research, and the possible need for countermeasure development. The Fine Motor Skills test battery may have application outside of NASA as a fine motor skills diagnostic screening, rehabilitation, or readiness-to-perform tool.