• Canada
• Publicationsclose
• Closed Access close
• Swiss National Science Foundation close

This study analyzes the role of the working alliance on the life satisfaction and career decision difficulties of clients participating in career counseling in Switzerland. The study also compares these career counseling clients to a group of students who did not seek counseling, to explore the overall effectiveness of a face-to-face career counseling intervention, using a pre—post design. Results indicated that the working alliance was positively associated with clients’ satisfaction with the intervention and with the final level of their life satisfaction. Working alliance was also negatively associated with the final levels of career decision difficulties. Moreover, clients’ career decision difficulties significantly decreased and their life satisfaction increased throughout the intervention. These findings suggest that working alliance represents an important variable to better understand career interventions’ underlying mechanisms. Moreover, face-to-face career counseling is effective considering career-specific as well as broader, life-related indicators.

In mobile health applications, non-expert users often perform the required medical measurements without supervision. Therefore, it is important that the mobile device guides them through the correct measurement process and automatically detects potential errors that could impact the readings. Camera oximetry provides a non-invasive measurement of heart rate and blood oxygen saturation using the camera of a mobile phone. We describe a novel method to automatically detect the correct finger placement on the camera lens for camera oximetry. Incorrect placement can cause optical shunt and if ignored, lead to low quality oximetry readings. The presented algorithm uses the spectral properties of the pixels to discriminate between correct and incorrect placements. Experimental results demonstrate high mean accuracy (99.06%), sensitivity (98.06%) and specificity (99.30%) with low variability. By sub-sampling pixels, the computational cost of classifying a frame has been reduced by more than three orders of magnitude. The algorithm has been integrated in a newly developed application called OxiCam where it provides real-time user feedback.

11β-Hydroxyprogesterone is a well-known nonselective inhibitor of 11β-hydroxysteroid dehydrogenase (11βHSD) types 1 and 2. It also activates the mineralocorticoid receptor (MR). Modulation of corticosteroid action by inhibition of 11βHSDs or blocking MR is currently under consideration for treatment of electrolyte disturbances, metabolic diseases and chronic inflammatory disorders. We established conditions to synthesize sterically demanding 11β-aminoprogesterone, which following subsequent nucleophilic or reductive amination, allowed extension of the amino group to prepare amino acid derivatives. Biological testing revealed that some of the 11β-aminoprogesterone derivatives selectively inhibit 11βHSD2. Moreover, two compounds that did not significantly inhibit 11βHSDs had antagonist properties on MR. The 11β-aminoprogesterone derivatives form a basis for the further development of improved modulators of corticosteroid action.

We report a method to suppress streaming potential using an Ag-coated microfluidic channel on a p-type silicon nanowire (SiNW) array measured by a multiplexed electrical readout. The metal layer sets a constant electrical potential along the microfluidic channel for a given reference electrode voltage regardless of the flow velocity. Without the Ag layer, the magnitude and sign of the surface potential change on the SiNW depends on the flow velocity, width of the microfluidic channel and the device's location inside the microfluidic channel with respect to the reference electrode. Noise analysis of the SiNW array with and without the Ag coating in the fluidic channel shows that noise frequency peaks, resulting from the operation of a piezoelectric micropump, are eliminated using the Ag layer with two reference electrodes located at inlet and outlet. This strategy presents a simple platform to eliminate the streaming potential and can become a powerful tool for nanoscale potentiometric biosensors.

Abstract Ecosystem services provided by floodplains are strongly controlled by the structural stability of soils. The development of a stable structure in floodplain soils is affected by a complex and poorly understood interplay of hydrological, physico-chemical and biological processes. This paper aims at analysing relations between fluctuating groundwater levels, soil physico-chemical and biological parameters on soil structure stability in a restored floodplain. Water level fluctuations in the soil are modelled using a numerical surface-water–groundwater flow model and correlated to soil physico-chemical parameters and abundances of plants and earthworms. Causal relations and multiple interactions between the investigated parameters are tested through structural equation modelling (SEM). Fluctuating water levels in the soil did not directly affect the topsoil structure stability, but indirectly through affecting plant roots and soil parameters that in turn determine topsoil structure stability. These relations remain significant for mean annual days of complete and partial (>25%) water saturation. Ecosystem functioning of a restored floodplain might already be affected by the fluctuation of groundwater levels alone, and not only through complete flooding by surface water during a flood period. Surprisingly, abundances of earthworms did not show any relation to other variables in the SEM. These findings emphasise that earthworms have efficiently adapted to periodic stress and harsh environmental conditions. Variability of the topsoil structure stability is thus stronger driven by the influence of fluctuating water levels on plants than by the abundance of earthworms. This knowledge about the functional network of soil engineering organisms, soil parameters and fluctuating water levels and how they affect soil structural stability is of fundamental importance to define management strategies of near-natural or restored floodplains in the future.

PurposeThe purpose of this paper is to present a new web‐based cataloguing system for the global music bibliography project, Répertoire International des Sources Musicales (RISM), and discuss the implications for the manipulation and discovery of musical heritage materials.Design/methodology/approachThe paper is designed to illustrate the workflow and tools used in creating a global musical catalogue, and to present the experiences of the Swiss RISM working group in developing new tools and re‐thinking traditional music bibliography tools.FindingsThe new tools developed present a further decrease in latency between source cataloguing and availability to users by integrating both the cataloguing and exploration interfaces into a single web application.Research limitations/implicationsFor music researchers, the opportunity to search and manipulate a global musical source database opens up new possibilities for data‐driven computational musicology and analysis.Originality/valueThis paper reports preliminary work in musical incipit searching in the Swiss RISM database, as well as the latest developments in integrating digital facsimile images and sound resources.

Background & Aims Alterations in the microbial composition of the gastrointestinal tract (dysbiosis) are believed to contribute to inflammatory and functional bowel disorders and psychiatric comorbidities. We examined whether the intestinal microbiota affects behavior and brain biochemistry in mice. Methods Specific pathogen–free (SPF) BALB/c mice, with or without subdiaphragmatic vagotomy or chemical sympathectomy, or germ-free BALB/c mice received a mixture of nonabsorbable antimicrobials (neomycin, bacitracin, and pimaricin) in their drinking water for 7 days. Germ-free BALB/c and NIH Swiss mice were colonized with microbiota from SPF NIH Swiss or BALB/c mice. Behavior was evaluated using step-down and light preference tests. Gastrointestinal microbiota were assessed using denaturing gradient gel electrophoresis and sequencing. Gut samples were analyzed by histologic, myeloperoxidase, and cytokine analyses; levels of serotonin, noradrenaline, dopamine, and brain-derived neurotropic factor (BDNF) were assessed by enzyme-linked immunosorbent assay. Results Administration of oral antimicrobials to SPF mice transiently altered the composition of the microbiota and increased exploratory behavior and hippocampal expression of BDNF. These changes were independent of inflammatory activity, changes in levels of gastrointestinal neurotransmitters, and vagal or sympathetic integrity. Intraperitoneal administration of antimicrobials to SPF mice or oral administration to germ-free mice did not affect behavior. Colonization of germ-free BALB/c mice with microbiota from NIH Swiss mice increased exploratory behavior and hippocampal levels of BDNF, whereas colonization of germ-free NIH Swiss mice with BALB/c microbiota reduced exploratory behavior. Conclusions The intestinal microbiota influences brain chemistry and behavior independently of the autonomic nervous system, gastrointestinal-specific neurotransmitters, or inflammation. Intestinal dysbiosis might contribute to psychiatric disorders in patients with bowel disorders.

Neuromyelitis optica (NMO) is a severe inflammatory demyelinating disorder typically characterized by attacks of recurrent optic neuritis and transverse myelitis. Advances in magnetic resonance imaging techniques and the discovery of the relatively specific NMO IgG biomarker have led to improved diagnostic accuracy and greater recognition of the broad clinical spectrum of aquaporin 4-related autoimmunity. Brain lesions in NMO typically follow the distribution of aquaporin 4 expression and may be symptomatic. Prompt diagnosis of NMO and NMO spectrum disorders has important therapeutic implications given the high risk of recurrent attacks and consequent severe disability, especially in childhood-onset disease.

The dynamic signature is a biometric trait widely used and accepted for verifying a person's identity. Current automatic signature-based biometric systems typically require five, ten, or even more specimens of a person's signature to learn intrapersonal variability sufficient to provide an accurate verification of the individual's identity. To mitigate this drawback, this paper proposes a procedure for training with only a single reference signature. Our strategy consists of duplicating the given signature a number of times and training an automatic signature verifier with each of the resulting signatures. The duplication scheme is based on a sigma lognormal decomposition of the reference signature. Two methods are presented to create human-like duplicated signatures: the first varies the strokes' lognormal parameters (stroke-wise) whereas the second modifies their virtual target points (target-wise). A challenging benchmark, assessed with multiple state-of-the-art automatic signature verifiers and multiple databases, proves the robustness of the system. Experimental results suggest that our system, with a single reference signature, is capable of achieving a similar performance to standard verifiers trained with up to five signature specimens.

INTRODUCTION We modeled suicidal rate among Swiss working-age males, considering three groups of factors at socio-demographic, occupational, and societal levels jointly. Our goal was twofold: to verify the effect of occupation after adjustment for non-occupational factors and to identify protective and risk factors relevant for suicide prevention in working male adults. METHODS The study population included all men aged [18-65] years at the 2000 population census and followed up within the Swiss National Cohort (SNC). The risk of suicide was modeled using Poisson regression. RESULTS The cohort comprised 1,534,564 men and 4371 deaths by suicide. Suicide rate varied significantly according to age, civil status, nationality, highest education achieved, and socio-professional category at socio-demographic level; occupation, occupational activity branch, weekly working hours, and home-to-work commute time at occupational level; calendar period of death, region, religious affiliation, and volunteering activity at societal level. After adjustment for non-occupational factors, agricultural and fishery laborers, military and civil security workers, and health and social workers were identified as high-risk groups with respect to suicide. CONCLUSION This study evidenced a complex web of factors at socio-demographic, occupational, and societal levels behind the suicide in Swiss male workers and identified the most at-risk groups, deserving targeted prevention efforts.