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The COVID-19 outbreak is a serious global public health issue with wide-ranging negative effects on people’s lives, which is reflected in steadily rising mental health problems. In order to appropriately respond to the increased occurrence of psychiatric illness, protect mental health and strengthen resilience it is necessary to include new technologies, such as extended reality (XR) or socially assistive robots (SAR) in not only psychiatric treatment but also in the prevention of psychiatric diseases. In this context, the use of new technologies offers innovative ways to strengthen resilience, self-efficacy and stress coping skills and plays an important role in improving psychological wellbeing.
Objectives
Preliminary results from studies at the Clinical Department of Psychiatry and Psychotherapeutic Medicine in Graz, Austria, dealing with new technologies in psychiatry, show new options for psychiatric settings.
Methods
Project AMIGA: The aim of this study is to test the effectiveness of a cognitive training session, conducted with the SAR named Pepper. In this randomized controlled trial, the effectiveness of SAR on depressive symptoms and correlates is evaluated in a sample of 60 individuals with major depression. While the intervention group will receive cognitive training with the SAR Pepper, the control group will receive “treatment-as-usual” therapy with a common PC software. Participants will receive 30 minutes of training 2 times per week over a period of 3 weeks.
Project XRes4HEALTH: The aim of this study is to develop an XR resilience training to increase resilience and stress coping mechanisms in healthcare workers. A total of 40 people will be included. To test the effectiveness of the resilience training, 3 XR training sessions of 15 minutes each will be held. A pre-post measurement will test the effectiveness of the training on wellbeing and stress levels as well as the acceptance and satisfaction with the training.
Project AI-REFIT: The overall goal of this study is to explore key information to increase resilience in healthy individuals who are at increased risk for mental health problems. Through a usability study, the artificial intelligence-based prototype app of the resilience training will be tested for acceptance, usability, functionality, and efficiency. During the resilience training, participants are wearing a smartwatch which measures psychophysiological parameters. Conclusions about the success of the therapy can be drawn based on digital data acquisition.
Results
New technologies including XR and SAR support classical psychiatric treatment in the topics of resilience and cognitive training as an add-on therapy in times of reduced availability of healthcare workers.
Conclusions
The rapid development of new technologies holds a lot of potential in the treatment of psychiatric disorders, which is why it is important to scientifically evaluate those innovative tools.
Introduction: Prehospital sepsis alerts assist paramedics in identifying patients with sepsis and in communicating this diagnosis to receiving facilities. Following the prospective implementation study of our regional systemic inflammatory response syndrome-based alert criteria (Alert), the purpose of this sub-study was to determine the cause of Alert false negatives (patients without an Alert that subsequently met sepsis criteria in the Emergency Department (ED)). Additionally, the sensitivity of the Alert for detecting sepsis was compared to the Quick Sequential Organ Failure Assessment (qSOFA) and Hamilton Early Warning Score (HEWS). Methods: This study was an additional analysis of the prospective Alert implementation study. Included patients were ≥ 18 years old, transported by a regional Emergency Medical Service and met severe sepsis or septic shock criteria (SS/SS, 2012 Surviving Sepsis Guidelines) in regional EDs in 2013. False negative patients were identified prospectively and reviewed by comparing paramedic determined Alert status to the retrospective application of the Alert criteria to Paramedic Call Report (PCR) data. The Alert sensitivity was first calculated from prospective data, then retrospective sensitivities of the Alert, qSOFA and HEWS were calculated by retrospectively applying these tools to PCRs, using ED diagnosis of SS/SS as reference standard. Results: In 2013, 229 patients met SS/SS criteria in the ED and had PCRs available; 115 (50.2%) were male and median age [interquartile range] was 76.0 [63.0-84.0]. Of 229, 149 (65.0%) arrived in the ED without an Alert (false negatives) and 46 (30.9%) of these met Alert criteria retrospectively and were therefore missed by paramedics. Sensitivity of the Alert was 34.9% when applied by paramedics and 41.5% when applied retrospectively to PCRs. The retrospective sensitivities of the qSOFA and HEWS were 37.6% and 67.7%, respectively. Conclusion: In ED patients diagnosed with SS/SS who arrived with no Alert, the majority (69.1%) were missed by the Alert criteria, rather than by paramedic application of the tool. The Alert had a sensitivity of 34.9%. When applied retrospectively and compared to the Alert, qSOFA had similar sensitivity and HEWS had increased sensitivity. Future research should focus on deriving improved alerts or implementing those with higher accuracy, such as HEWS.
Studies of schizophrenia with functional MRI showed hyper- and hypoactivations in various brain regions including the prefrontal cortex. Functional abnormalities have also been reported in first-degree relatives of schizophrenic patients. The aim of this study was to examine working memory related brain functions in healthy subjects, schizophrenic patients and unaffected relatives and to determine the influence of psychopathology on these processes.
A parametric n-back working memory task and functional MRI were used to examine 61 schizophrenic patients on antipsychotic medication, 11 nonpsychotic relatives of schizophrenic patients and a comparison group of 61 healthy subjects. The task difficulty was incrementally increased using a parametric task (0-back, 1-back, 2-back, and 3-back) to examine the relationship between working memory load, performance, and brain activity.
The results indicated that during the attention task (0-back) behavioral responses of patients and healthy subjects hardly differed but BOLD responses were considerably enhanced in schizophrenic patients. With increasing task difficulty differences between groups in BOLD responses diminished whereas behavioral deficits of patients increased. The examination of attention-independent working memory-functions (2- vs. 0-back) produced hypoactivations in patients, especially in frontal, temporal and subcortical brain regions. Behavioral performance and neural responses of unaffected relatives of schizophrenic patients were intermediate between schizophrenic patients and controls indicating slight brain dysfunctions. In addition, compensatory strategies were demonstrated.
These findings suggest that the genetic risk for schizophrenia is accompanied by neural inefficiency which is associated with cognitive deficits, especially in difficult tasks.
Nicosulfuron, mesotrione, dicamba plus diflufenzopyr, and carfentrazone are postemergence herbicides from different chemical families with different modes of action. An association between the sensitivity of sweet corn to these herbicides was observed when 143 F3 : 4 families (F4 plants) derived from of a cross between Cr1 (sensitive inbred) and Cr2 (tolerant inbred) were evaluated in greenhouse trials. The ratio of tolerant : segregating : sensitive families was not significantly different from a 3 : 2 : 3 ratio, which would be expected if a single gene conditioned herbicide response. Families cosegregated for responses to these herbicides. In field studies with 60 F3 : 5 families in 2005 and 120 F3 : 5 families in 2007, responses to these herbicides and foramsulfuron and primisulfuron were associated. Responses to bentazon in field trials were similar to the aforementioned herbicides for tolerant families, but differences were noted for families that were sensitive or segregated for responses to nicosulfuron, foramsulfuron, primisulfuron, mesotrione, dicamba plus diflufenzopyr, and carfentrazone. The gene(s) affecting herbicide sensitivity in Cr1 maps to the same region of chromosome 5S as a previously sequenced cytochrome P450 gene, where alleles previously designated nsf1 and ben1 were associated with sensitivity to nicosulfuron and bentazon and appear to be the result of a 392–base-pair insertion mutation. This work supports the hypothesis that a single recessive gene or closely linked genes in the sweet corn inbred Cr1 condition sensitivity to multiple cytochrome P450 enzyme-metabolized herbicides.
The objective of this study was to determine whether altered maternal energy supply during mid-gestation results in differences in muscle histology or genes regulating fetal adipose and muscle development. In total, 22 Angus cross-bred heifers (BW=527.73±8.3 kg) were assigned randomly to the three dietary treatments providing 146% (HIGH; n=7), 87% (INT; n=7) or 72% (LOW; n=8) of the energy requirements for heifers from day 85 to day 180 of gestation. Fetuses were removed via cesarean section at day 180 of gestation and longissimus muscle (LM) and subcutaneous fat were collected and prepared for analysis of gene expression. Samples from the LM and semitendinosus (ST) were evaluated for muscle fiber diameter, area and number. The right hind limb was dissected and analyzed to determine compositional analysis. Fetal growth and muscle histology characteristics of the LM and ST were similar among treatments. Preadipocyte factor-1 expression was up-regulated in fetal LM (P<0.05) of HIGH fetuses as compared with INT, whereas LOW fetuses showed increased CCAAT/enhancer-binding protein-β (C/EBP-β) expression in LM as compared with INT (P<0.05). Peroxisome proliferator-activated receptor γand C/EBP-α did not differ as a result of dietary treatment in LM or subcutaneous fat samples. There was a tendency for increased expression of fatty acid synthase in LM of LOW fetuses as compared with INT (P<0.10). Myogenin was more highly expressed (P<0.05) in LM of the LOW fetuses, whereas μ-calpain expression was increased in the HIGH treatment compared with INT. A tendency for increased expression of IGF-II was observed for both LOW and HIGH fetuses compared with INT (P<0.10). Expression of stearoyl-CoA desaturase, myoblast determination protein 1, myogenic factor 5, myogenic regulatory factor-4, m-calpain, calpastatin, IGF-I and myostatin was similar between treatments. Collectively, these results suggest that fetal growth characteristics are not affected by the level of maternal nutritional manipulation imposed in this study during mid-gestation. However, differences in expression of fetal genes regulating adipose and muscle tissue growth and development could lead to differences in postnatal composition and warrants further investigation.
The objectives of the present study were to evaluate the relationship between the fractional amplitudes of the EEG derived from power spectral analysis (PSA) of the electroencephalogram (EEG) and depth of coma measured clinically with the Glasgow Coma Score, and to assess the accuracy of PSA in predicting long-term outcome. Thirty-two patients rendered unconscious by blunt head injury (mean (GCS = 7) had intermittent EEG recordings daily from 1-10 days post injury. There was a significant correlation between fractional amplitude of the EEG and the GCS. The rate and magnitude of change in the EEG and GCS were also correlated. There were significant differences in PSA parameters between improved and deteriorated patient groups at the termination of monitoring (p = .02) and in the change of PSA parameters over time (p = .02). Using linear discriminant analysis of PSA parameters, the accuracy of outcome prognostication based on the six month outcome was approximately 75%. Accurate classification of outcome was possible in a number of patients in whom there was little or no change in the GCS during the period of monitoring.
Extensive research has shown that agricultural land-use practices have substantial impacts on the environment, including (1) release of 50 percent of soil carbon (C) following cultivation of the soil, (2) enhanced soil nitrous oxide (N2O) emissions, (3) reduced soil fertility, (4) increases in nitrate (NO3−) leaching into groundwater and streams, (5) changes in plant production, and (6) changes in energy balance and water fluxes (Pielke et al. 2007). By linking observed detailed land-use data for the U.S. Great Plains over the past 150 years to the DayCent ecosystem model (Parton et al. 1998), this review demonstrates how historical changes in land use have affected soil organic carbon (SOC), soil fertility, plant production, and greenhouse gas (GHG) fluxes. A detailed description of the procedure used to link the observed U.S. Great Plains land-use data with the DayCent model, along with a comparison of observed and DayCent simulated historical changes in crop yields for the major crops (corn, wheat, sorghum, hay, and cotton) is presented by Hartman et al. (2011).
The Great Plains region of the United States is unique because by the time it was settled by Euro-American farmers, many modern institutions for information gathering and data analysis were already in place. The settlement and subsequent ecological transformation of this region is therefore well documented in the U.S. censuses of population and agriculture, which contain detailed data at the county level regarding changes in land use, animal production, yields for crops grown under both dryland and irrigated conditions, economic value of animal and crop raising, and movements of human populations, first on the decadal scale and then every five years for agriculture beginning in 1925. These data have been digitized for the Great Plains and are now publicly available in machine-readable form (Gutmann 2005a, 2005b).
We present near-infrared integral field observations of the super star cluster in the amorphous galaxy NGC1705. Data have been collected with SINFONI mounted on the VLT. Adaptive optics was used under good seeing conditions. Mosaics of the cluster and its immediate surrounding have been constructed. The cluster is not spatially resolved. Its radius is smaller than 2.85 ± 0.50pc. The K-band spectrum of the cluster is dominated by strong CO absorption bandheads. It is typical of a Galactic K 4–5 supergiant. Its age is estimated to be 12 ± 6Myr. The large error bar is rooted in the uncertainties of the input physics and ingredients of different evolutionary models.
A year-long intervention trial was conducted to characterise the responses of multiple biomarkers of Se status in healthy American adults to supplemental selenomethionine (SeMet) and to identify factors affecting those responses. A total of 261 men and women were randomised to four doses of Se (0, 50, 100 or 200 μg/d as l-SeMet) for 12 months. Responses of several biomarkers of Se status (plasma Se, serum selenoprotein P (SEPP1), plasma glutathione peroxidase activity (GPX3), buccal cell Se, urinary Se) were determined relative to genotype of four selenoproteins (GPX1, GPX3, SEPP1, selenoprotein 15), dietary Se intake and parameters of single-carbon metabolism. Results showed that supplemental SeMet did not affect GPX3 activity or SEPP1 concentration, but produced significant, dose-dependent increases in the Se contents of plasma, urine and buccal cells, each of which plateaued by 9–12 months and was linearly related to effective Se dose (μg/d per kg0·75). The increase in urinary Se excretion was greater for women than men, and for individuals of the GPX1 679 T/T genotype than for those of the GPX1 679 C/C genotype. It is concluded that the most responsive Se-biomarkers in this non-deficient cohort were those related to body Se pools: plasma, buccal cell and urinary Se concentrations. Changes in plasma Se resulted from increases in its non-specific component and were affected by both sex and GPX1 genotype. In a cohort of relatively high Se status, the Se intake (as SeMet) required to support plasma Se concentration at a target level (Sepl-target) is: .
Deep far-infrared photometric surveys studying galaxy evolution and the nature of the cosmic infrared background are a key strength of the Herschel mission. The PACS Evolutionary Probe (PEP) guaranteed time key program obtains deep photometric surveys of some of the key extragalactic multiwavelength fields at wavelengths between 70 and 160 μm. This contribution gives an overview of first science results, illustrating the potential of Herschel in providing calorimetric star formation rates for various high redshift galaxy populations, thus testing and superseding previous extrapolations from other wavelengths, and enabling a wide range of galaxy evolution studies.
The Herschel Key Project SHINING performs a study of the ISM in star forming and activeinfrared bright galaxies (starbursts, AGN, (U)LIRGs, interacting and low metallicitygalaxies) at local and intermediate redshifts. Here we present some surprising andpromising first results from parts of this programme, including spatially resolved PDRdiagnostics, line deficit diagnostics, and large scale molecular outflows traced by the OHmolecule.
With differential equations in the neighbourhood of an irregular singular point, it sometimes happens that formal solutions may converge. For example, this occurs for Bessel's equation at∞ when the parameter is half of an odd integer. In addition, there are some classical theorems of Perron and Lettenmeyer which give sufficient conditions for the existence of linearly independent analytic solutions at (generally) an irregular singular point. Using the principle of reduction of order, such a solution may be used to transform the differential equation into one whose coefficient matrix is triangularly blocked with an (n – 1) and 1-block on the diagonal. The solutions of the given differential equation can thus be obtained by solving a lower dimensional differential equation plus quadrature.
A total of 701 comets received names between July 2005 and June 2008. Comets observed only from the SOHO and STEREO missions, as well as further comets recognized from the long-defunct SOLWIND satellite, accounted for 520 of these names.
This chapter discusses three classes of theories: information-processing theories that build on modular elements, network theories that focus on the distributed access of conscious processing, and globalist theories that combine aspects of these two. It also discusses cognitive or functional models of consciousness with less reference to the burgeoning neuroscientific evidence that increasingly supports the globalist position. Beginning in the 1980s, a number of experimental methods gained currency as means of studying comparable conscious and non-conscious processes. The metaphor of cognitive architectures dates to the 1970s when cognitive psychologists created information-processing models of mental processes. The general position is that consciousness operates as a distributed and flexible system offering nonconscious expert systems global accessibility to information that has a high concurrent value to the organism. Future work should focus on obtaining neuroscientific evidence and corresponding behavioral observations that can address global access as the distinguishing feature of consciousness.
On July 11, 2006, our distinguished colleague Ross M. Lence passed away. Ross had been diagnosed with pancreatic cancer in August of 2005, and even in his most difficult moments this last year, he continued to grace our lives with his good cheer and to engage in that activity he most loved, teaching.
The affordable and reproducible creation of nanoscale functional material layers is a key desire towards the progressing miniaturization of devices and the continuous increase of data storage densities. While top-down structuring costs are exploding, the self-assembly [1] of dedicated building blocks in functional molecular layers provides an alternative to produce structures in the few nanometer range. Several different approaches, exploit characteristic materials properties for this purpose: A) the dedicated assembly of two dimensional molecular layers on prepatterned surfaces provides the basis for structural transitions involving only some hundred molecules. These transitions can be reversibly triggered by an electric field. [2] B) The complex balance of inter-molecular interactions with adsorbate-adsorbent interactions provides the basis for tuning the assembly. Long range ordering is a crucial requirement to match self-assembled functional devices with top-down manufactured methods for addressing and operation. [3] C) Using larger molecular entities and conformational flexure [4], even larger periodicity functional arrays can be manufactured by extending site blocking mechanisms to nearest neighbour interactions. [5] D) By a hierarchical two step approach, i.e. the initial assembly of a specific host-layer and the second step assembly of molecular guests upon this host layer, a wealth of new molecular properties is achievable in extended supra-molecular layers. [6] All these new supra-molecular self-assembled systems offer a valid alternative toward the fabrication of reproducibly identical and addressable “molecular switches” which are impossible to achieve by using established lithographic methods.