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Vincent van Gogh : his life in art
\"Featuring about 50 works by Vincent van Gogh, from his early drawings to his later iconic paintings, this catalogue traces the artist's life, the development of his art, and his significant legacy\"-- Provided by publisher.
Book
Engineering tunable catch bonds with DNA
Unlike most adhesive bonds, biological catch bonds strengthen with increased tension. This characteristic is essential to specific receptor-ligand interactions, underpinning biological adhesion dynamics, cell communication, and mechanosensing. While artificial catch bonds have been conceived, the tunability of their catch behaviour is limited. Here, we present the fish-hook, a rationally designed DNA catch bond that can be finely adjusted to a wide range of catch behaviours. We develop models to design these DNA structures and experimentally validate different catch behaviours by single-molecule force spectroscopy. The fish-hook architecture supports a vast sequence-dependent behaviour space, making it a valuable tool for reprogramming biological interactions and engineering force-strengthening materials.
Biological catch bonds counter-intuitively strengthen when pulled. Here, the authors present tuneable artificial catch bonds made from DNA for the study of biomimetic adhesion and the creation of force-strengthening materials.
Journal Article
Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments
The number of mental health apps (MHapps) developed and now available to smartphone users has increased in recent years. MHapps and other technology-based solutions have the potential to play an important part in the future of mental health care; however, there is no single guide for the development of evidence-based MHapps. Many currently available MHapps lack features that would greatly improve their functionality, or include features that are not optimized. Furthermore, MHapp developers rarely conduct or publish trial-based experimental validation of their apps. Indeed, a previous systematic review revealed a complete lack of trial-based evidence for many of the hundreds of MHapps available.
To guide future MHapp development, a set of clear, practical, evidence-based recommendations is presented for MHapp developers to create better, more rigorous apps.
A literature review was conducted, scrutinizing research across diverse fields, including mental health interventions, preventative health, mobile health, and mobile app design.
Sixteen recommendations were formulated. Evidence for each recommendation is discussed, and guidance on how these recommendations might be integrated into the overall design of an MHapp is offered. Each recommendation is rated on the basis of the strength of associated evidence. It is important to design an MHapp using a behavioral plan and interactive framework that encourages the user to engage with the app; thus, it may not be possible to incorporate all 16 recommendations into a single MHapp.
Randomized controlled trials are required to validate future MHapps and the principles upon which they are designed, and to further investigate the recommendations presented in this review. Effective MHapps are required to help prevent mental health problems and to ease the burden on health systems.
Journal Article
Microbial Diversity Impacts Non-Protein Amino Acid Production in Cyanobacterial Bloom Cultures Collected from Lake Winnipeg
Lake Winnipeg in Manitoba, Canada is heavily impacted by harmful algal blooms that contain non-protein amino acids (NPAAs) produced by cyanobacteria: N-(2-aminoethyl)glycine (AEG), β-aminomethyl-L-alanine (BAMA), β-N-methylamino-L-alanine (BMAA), and 2,4-diaminobutyric acid (DAB). Our objective was to investigate the impact of microbial diversity on NPAA production by cyanobacteria using semi-purified crude cyanobacterial cultures established from field samples collected by the Lake Winnipeg Research Consortium between 2016 and 2021. NPAAs were detected and quantified by ultra-performance liquid chromatography–tandem mass spectrometry (UPLC-MS/MS) using validated analytical methods, while Shannon and Simpson alpha diversity scores were determined from 16S rRNA metagenomic sequences. Alpha diversity in isolate cultures was significantly decreased compared to crude cyanobacterial cultures (p < 0.001), indicating successful semi-purification. BMAA and AEG concentrations were higher in crude compared to isolate cultures (p < 0.0001), and AEG concentrations were correlated to the alpha diversity in cultures (r = 0.554; p < 0.0001). BAMA concentrations were increased in isolate cultures (p < 0.05), while DAB concentrations were similar in crude and isolate cultures. These results demonstrate that microbial community complexity impacts NPAA production by cyanobacteria and related organisms.
Journal Article
A Best-Path Approach to the Design of a Hybrid Space–Ground Quantum Network with Dynamic Constraints
The design and operation of quantum networks are both decisive in the current push towards a global quantum internet. Although space-enabled quantum connectivity has already been identified as a beneficial candidate for long-range quantum channels for over two decades, the architecture of a hybrid space–ground network is still a work in progress. Here, we propose an analysis of such a network based on a best-path approach, where either fiber- or satellite-based elementary links can be concatenated to form a repeater chain. The network consisting of quantum information processing nodes, equipped with both ground and space connections, is mapped into a graph structure, where edge weights represent the achievable secret key rates, chosen as the figure of merit for the network analysis. A weight minimization algorithm allows for identifying the best path dynamically, i.e., as the weather conditions, stray light radiance, and satellite orbital position change. From the results, we conclude that satellite links will play a significant role in the future large-scale quantum internet, in particular when node distances exceed 500 km, and both a constellation of satellites—spanning 20 or more satellites—and significant advances in filtering technology are required to achieve continuous coverage.
Journal Article
Satellite License Plate: passive and compact optical spectrally-based identification method for satellites
Satellite identification and tracking is fundamental for decision making in space traffic management. Cooperative optical identification methods enlarge the toolbox of identification techniques which currently count on radar and passive optical observations. Here we present a cooperative method to identify satellites from the ground by means of laser techniques: the Satellite License Plate (SLP). SLP employs unique spectrally-encoded retroreflecting tags mounted on the satellite. The interrogation of the tags could be performed with laser enabled optical ground stations. The benefit of the concept is that the tag concept is fully passive, minimally invasive, and scalable from tens to hundreds of unique combinations, allowing to map a large number of satellites on a single orbit. The SLP method is here described by means of end-to-end theoretical analyses on the final performance of identification and experimental results gathered during km-range ground-to-ground free space tests.
A research team from the High-Tech Industry Unit at TNO reports a method to identify satellites using retroreflecting tags with spectral signatures mounted on these satellites. The approach reduces the complexity of the observation system and does not require any power sources on board.
Journal Article
Musical chords and emotion: Major and minor triads are processed for emotion
Musical chords are arguably the smallest building blocks of music that retain emotional information. Major chords are generally perceived as positive- and minor chords as negative-sounding, but there has been debate concerning how early these emotional connotations may be processed. To investigate this, emotional facial stimuli and musical chord stimuli were simultaneously presented to participants, and facilitation of processing was measured via event-related potential (ERP) amplitudes. Decreased amplitudes of the P1 and N2 ERP components have been found to index the facilitation of early processing. If simultaneously presented musical chords and facial stimuli are perceived at early stages as belonging to the same emotional category, then early processing should be facilitated for these congruent pairs, and ERP amplitudes should therefore be decreased as compared to the incongruent pairs. ERPs were recorded from 30 musically naive participants as they viewed happy, sad, and neutral faces presented simultaneously with a major or minor chord. When faces and chords were presented that contained congruent emotional information (happy–major or sad–minor), processing was facilitated, as indexed by decreased N2 ERP amplitudes. This suggests that musical chords do possess emotional connotations that can be processed as early as 200 ms in naive listeners. The early stages of processing that are involved suggest that major and minor chords have deeply connected emotional meanings, rather than superficially attributed ones, indicating that minor triads possess negative emotional connotations and major triads possess positive emotional connotations.
Journal Article
Design and Fabrication of a Photonic Integrated Circuit-based Entangled Photon Pair Source using Microring Resonators
Photonic integrated circuits (PICs) based on silicon-on-insulator (SOI) substrates provide a lightweight, compact platform for applications in quantum optics. We show the evaluation and characterization of an SOI-bascd PIC design for an entangled photon pair source, generating photon pairs by means of the nonlinear process of spontaneous four-wave mixing in microring resonators. Experimental results following from the chip fabrication fed back into the simulated parameter tuning effects, culminating in photon pair generation with measured correlations exceeding classically predicted limits.
Journal Article
Engagement with smartphone-delivered behavioural activation interventions: a study of the MoodMission smartphone application
Background:Despite increased research interest in smartphone mental health applications (MHapps), few studies have examined user engagement and its determinants. MoodMission is a MHapp that targets low mood and anxiety via evidence-based techniques including behavioural activation (BA).Aims:The present study aimed to investigate (i) whether BA interventions delivered with visual psychoeducation had greater engagement than BA interventions delivered with solely written psychoeducation, (ii) whether BA interventions targeting mastery would have greater engagement than those targeting pleasure, and (iii) the relationship between level of engagement and MHapp benefit.Method:Participants downloaded MoodMission and completed activities and within-app evaluations over a 30-day period. Data from 238 MoodMission users were analysed via multi-level modelling and linear regression.Results:The average number of app-based activities completed was 5.46 and the average self-reported engagement level was in the low to moderate range. As hypothesized, higher levels of engagement significantly predicted more positive activity appraisal.Conclusions:The results suggest that BA technique beliefs are involved in MHapp engagement and future research examining user appraisals of techniques is warranted.
Journal Article
Development of a Mobile Phone App to Support Self-Monitoring of Emotional Well-Being: A Mental Health Digital Innovation
Emotional well-being is a primary component of mental health and well-being. Monitoring changes in emotional state daily over extended periods is, however, difficult using traditional methodologies. Providing mental health support is also challenging when approximately only 1 in 2 people with mental health issues seek professional help. Mobile phone technology offers a sustainable means of enhancing self-management of emotional well-being.
This paper aims to describe the development of a mobile phone tool designed to monitor emotional changes in a natural everyday context and in real time.
This evidence-informed mobile phone app monitors emotional mental health and well-being, and it provides links to mental health organization websites and resources. The app obtains data via self-report psychological questionnaires, experience sampling methodology (ESM), and automated behavioral data collection.
Feedback from 11 individuals (age range 16-52 years; 4 males, 7 females), who tested the app over 30 days, confirmed via survey and focus group methods that the app was functional and usable.
Recommendations for future researchers and developers of mental health apps to be used for research are also presented. The methodology described in this paper offers a powerful tool for a range of potential mental health research studies and provides a valuable standard against which development of future mental health apps should be considered.
Journal Article