The Interplay Between Visual Traits and Forest in Bumblebee Communities Across Sweden.

Understanding how ecological communities assemble in relation to natural and human-induced environmental changes is critical, particularly for communities of pollinators that deliver essential ecosystem services. Despite widespread attention to interactions between functional traits and community responses to environmental changes, the importance of sensory traits has received little attention. To address this, we asked whether visual traits of bumblebee communities varied at large geographical scales along a habitat gradient of increased tree cover.

Comment on Manna et al. SARS-CoV-2 Inactivation in Aerosol by Means of Radiated Microwaves. 2023, , 1443.

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Gradients of Orientation, Composition, and Hydration of Proteins for Efficient Light Collection by the Cornea of the Horseshoe Crab.

The lateral eyes of the horseshoe crab, Limulus polyphemus, are the largest compound eyes within recent Arthropoda. The cornea of these eyes contains hundreds of inward projecting elongated cuticular cones and concentrate light onto proximal photoreceptor cells. Although this visual system has been extensively studied before, the precise mechanism allowing vision has remained controversial.

Allometric scaling of a superposition eye optimizes sensitivity and acuity in large and small hawkmoths.

Animals vary widely in body size within and across species. This has consequences for the function of organs and body parts in both large and small individuals. How these scale, in relation to body size, reveals evolutionary investment strategies, often resulting in trade-offs between functions.

Developing a Smart Home Technology Innovation for People With Physical and Mental Health Problems: Considerations and Recommendations.

Smart home technologies present an unprecedented opportunity to improve health and health care by providing greater communication and connectivity with services and care providers and by supporting the daily activities of people managing both mental and physical health problems. Based on our experience from conducting smart technology health studies, including a smart home intervention, we provide guidance on developing and implementing such interventions. First, we describe the need for an overarching principle of security and privacy that must be attended to in all aspects of such a project.

Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting.

Data-driven forecasts of air quality have recently achieved more accurate short-term predictions. However, despite their success, most of the current data-driven solutions lack proper quantifications of model uncertainty that communicate how much to trust the forecasts. Recently, several practical tools to estimate uncertainty have been developed in probabilistic deep learning.

Exploring the visual world of fossilized and modern fungus gnat eyes (Diptera: Keroplatidae) with X-ray microtomography.

Animal eyes typically possess specialized regions for guiding different behavioural tasks within their specific visual habitat. These specializations, and evolutionary changes to them, can be crucial for understanding an animal's ecology. Here, we explore how the visual systems of some of the smallest flying insects, fungus gnats, have adapted to different types of forest habitat over time (approx.

Outcome Measures for Acute Submassive Pulmonary Embolisms at a Community-Based Hospital Using Ultrasound-Facilitated, Catheter-Directed, Low-Dose Fibrinolysis.

Purpose: Ultrasound-facilitated, catheter-directed, low-dose fibrinolysis (USAT) appears to provide promising results for the management of acute submassive pulmonary embolisms (ASMPEs) at tertiary care centers. This study assessed outcome measures at a community-based hospital systems and compared results to known studies.

Materials And Methods: This is a single-center, retrospective study assessing clinical outcomes of the EkoSonic Endovascular System intervention for ASMPEs performed by three surgical 3 subspecialties (interventional radiology, interventional cardiology, and vascular surgery) part of a pulmonary embolism response team (PERT).

Using micro-CT techniques to explore the role of sex and hair in the functional morphology of bumblebee (Bombus terrestris) ocelli.

Many insects have triplets of camera type eyes, called ocelli, whose function remains unclear for most species. Here, we investigate the ocelli of the bumblebee, Bombus terrestris, using reconstructed 3D data from X-ray microtomography scans combined with computational ray-tracing simulations. This method enables us, not only to predict the visual fields of the ocelli, but to explore for the first time the effect that hair has on them as well as the difference between worker female and male ocelli.

Bumblebee visual allometry results in locally improved resolution and globally improved sensitivity.

The quality of visual information that is available to an animal is limited by the size of its eyes. Differences in eye size can be observed even between closely related individuals, yet we understand little about how this affects vision. Insects are good models for exploring the effects of size on visual systems because many insect species exhibit size polymorphism.

The image-forming mirror in the eye of the scallop.

Scallops possess a visual system comprising up to 200 eyes, each containing a concave mirror rather than a lens to focus light. The hierarchical organization of the multilayered mirror is controlled for image formation, from the component guanine crystals at the nanoscale to the complex three-dimensional morphology at the millimeter level. The layered structure of the mirror is tuned to reflect the wavelengths of light penetrating the scallop's habitat and is tiled with a mosaic of square guanine crystals, which reduces optical aberrations.

X-ray micro computed-tomography.

Emily Baird and Gavin Taylor describe how you can make three-dimensional models of biological samples using x-ray micro-computed tomography.

The Dual Function of Orchid Bee Ocelli as Revealed by X-Ray Microtomography.

Visually guided flight control in the rainforest is arguably one of the most complex insect behaviors: illumination varies dramatically depending on location [1], and the densely cluttered environment blocks out most of the sky [2]. What visual information do insects sample for flight control in this habitat? To begin answering this question, we determined the visual fields of the ocelli-thought to play a role in attitude stabilization of some flying insects [3-5]-of an orchid bee, Euglossa imperialis. High-resolution 3D models of the ocellar system from X-ray microtomography were used for optical ray tracing simulations.

Using an abstract geometry in virtual reality to explore choice behaviour: visual flicker preferences in honeybees.

Closed-loop paradigms provide an effective approach for studying visual choice behaviour and attention in small animals. Different flying and walking paradigms have been developed to investigate behavioural and neuronal responses to competing stimuli in insects such as bees and flies. However, the variety of stimulus choices that can be presented over one experiment is often limited.

Insects modify their behaviour depending on the feedback sensor used when walking on a trackball in virtual reality.

When using virtual-reality paradigms to study animal behaviour, careful attention must be paid to how the animal's actions are detected. This is particularly relevant in closed-loop experiments where the animal interacts with a stimulus. Many different sensor types have been used to measure aspects of behaviour, and although some sensors may be more accurate than others, few studies have examined whether, and how, such differences affect an animal's behaviour in a closed-loop experiment.

Selective attention in the honeybee optic lobes precedes behavioral choices.

Attention allows animals to respond selectively to competing stimuli, enabling some stimuli to evoke a behavioral response while others are ignored. How the brain does this remains mysterious, although it is increasingly evident that even animals with the smallest brains display this capacity. For example, insects respond selectively to salient visual stimuli, but it is unknown where such selectivity occurs in the insect brain, or whether neural correlates of attention might predict the visual choices made by an insect.

FicTrac: a visual method for tracking spherical motion and generating fictive animal paths.

Studying how animals interface with a virtual reality can further our understanding of how attention, learning and memory, sensory processing, and navigation are handled by the brain, at both the neurophysiological and behavioural levels. To this end, we have developed a novel vision-based tracking system, FicTrac (Fictive path Tracking software), for estimating the path an animal makes whilst rotating an air-supported sphere using only input from a standard camera and computer vision techniques. We have found that the accuracy and robustness of FicTrac outperforms a low-cost implementation of a standard optical mouse-based approach for generating fictive paths.

Vision and air flow combine to streamline flying honeybees.

Insects face the challenge of integrating multi-sensory information to control their flight. Here we study a 'streamlining' response in honeybees, whereby honeybees raise their abdomen to reduce drag. We find that this response, which was recently reported to be mediated by optic flow, is also strongly modulated by the presence of air flow simulating a head wind.

Cognitive Assessment and Rehabilitation Pathway for Stroke (CARPS).

Complex cognitive impairments are common after stroke and they can significantly impede individuals' progress in rehabilitation. Treatment strategies that allow patients to compensate for such deficits are therefore an important part of multidisciplinary rehabilitation, as acknowledged by various clinical guidelines. In part due to the heterogeneity of poststroke cognitive impairments, the evidence base for treatments in this area is often unclear or inconsistent.

Post-stroke emotional adjustment: a modified Social Cognitive Transition model.

Patients report a wide variety of emotional responses following stroke. Some individuals find the process of adjusting to their changed circumstances extremely difficult, while others cope well. Predicting and understanding patients' adjustment to stroke therefore poses challenges within rehabilitation settings.

Medical, psychological, and sociodemographic factors associated with adherence to cardiac rehabilitation programs: a systematic review.

Objectives: Cardiac rehabilitation (CR) programs have been shown to reduce mortality and morbidity rates among coronary heart disease patients, but adherence to these classes has been found to be poor. This review aims to summarize and integrate research findings investigating the possible sociodemographic, medical, and psychological variables that influence patient adherence to CR programs. It also aims to address the methodological failings of past reviews conducted in this area.

Can targeted early intervention improve functional recovery in psychosis? A historical control evaluation of the effectiveness of different models of early intervention service provision in Norfolk 1998-2007.

Aims: This paper assesses the impact of different models of early intervention (EI) service provision on functional recovery and inpatient hospital admission. The study compares the outcome of a comprehensive EI team with a partial model (community mental health team (CMHT) plus specialist support) and traditional care (generic CMHT) over a 10-year period.

Methods: The design is in comparison with historical control.

Social and symptomatic outcomes of first-episode bipolar psychoses in an early intervention service.

Aim: We aimed to establish the relative proportions of all diagnoses in people aged 14-35 years presenting to an early intervention in psychosis service, and to compare demographic variables, symptoms and outcomes between the bipolar psychoses and other psychoses at 3-6 months and 1 year post referral.

Methods: Prospective 3- to 6-month diagnostic and symptomatic assessments were carried out. Diagnoses were established using the Diagnostic Interview for Psychoses - Diagnostic Module.