Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and content of a community-based reablement programme (I-MANAGE): a co-creation study

Objectives As age increases, people generally start experiencing problems related to independent living, resulting in an increased need for long-term care services. Investing in sustainable solutions to promote independent living is therefore essential. Subsequently, reablement is a concept attracting growing interest. Reablement is a person-centred, holistic approach promoting older adults’ active participation through daily, social, leisure and physical activities. The aim of this paper is to describe the development and content of I-MANAGE, a model for a reablement programme for community-dwelling older adults. Design The development of the programme was performed according to the Medical Research Council framework as part of the TRANS-SENIOR international training and research network. A co-creation design was used, including literature research, observations, interviews, and working group sessions with stakeholders. Setting and participants The interviews and working group sessions took place in the Dutch long-term home care context. Stakeholders invited to the individual interviews and working group sessions included care professionals, policymakers, client representatives, informal caregiver representatives, informal caregivers, and scientific experts. Results The co-creation process resulted in a 5-phase interdisciplinary primary care programme, called I-MANAGE. The programme focuses on improving the self-management and well-being of older adults by working towards their meaningful goals. During the programme, the person’s physical and social environment will be put to optimal use, and sufficient support will be provided to informal caregivers to reduce their burden. Lastly, the programme aims for continuity of care and better communication and coordination. Conclusion The I-MANAGE programme can be tailored to the local practices and resources and is therefore suitable for the use in different settings, nationally and internationally. If the programme is implemented as described, it is important to closely monitor the process and results.
“Brain–breath” interactions: respiration-timing–dependent impact on functional brain networks and beyond

Abstract Breathing is a natural daily action that one cannot do without, and it sensitively and intensely changes under various situations. What if this essential act of breathing can impact our overall well-being? Recent studies have demonstrated that breathing oscillations couple with higher brain functions, i.e., perception, motor actions, and cognition. Moreover, the timing of breathing, a phase transition from exhalation to inhalation, modulates specific cortical activity and accuracy in cognitive tasks. To determine possible respiratory roles in attentional and memory processes and functional neural networks, we discussed how breathing interacts with the brain that are measured by electrophysiology and functional neuroimaging: (i) respiration-dependent modulation of mental health and cognition; (ii) respiratory rhythm generation and respiratory pontomedullary networks in the brainstem; (iii) respiration-dependent effects on specific brainstem regions and functional neural networks (e.g., glutamatergic PreBötzinger complex neurons, GABAergic parafacial neurons, adrenergic C1 neurons, parabrachial nucleus, locus coeruleus, temporoparietal junction, default-mode network, ventral attention network, and cingulo-opercular salience network); and (iv) a potential application of breathing manipulation in mental health care. These outlines and considerations of “brain–breath” interactions lead to a better understanding of the interoceptive and cognitive mechanisms that underlie brain–body interactions in health conditions and in stress-related and neuropsychiatric disorders.
Holocene and latest Pleistocene paleoseismology of the Salt Lake City segment of the Wasatch Fault Zone, Utah, at the Penrose Drive Trench Site

5 INTRODUCTION . 5 Purpose and Scope . 5 Geologic Setting . 8 Surface Faulting in Salt Lake Valley . 9 Salt Lake City Segment of the Wasatch Fault Zone . 9 West Valley Fault Zone . 11 Why Trench the Salt Lake City Segment? 11 OVERVIEW AND METHODS . 12 Trench Investigations . 12 Warm Springs Park Site . 12 Penrose Drive Site . 12 Numerical Dating . 13 Radiocarbon Dating . 13 Luminescence Dating . 14 OxCal Modeling Methods . 15 PENROSE DRIVE TRENCH SITE, SALT LAKE CITY SEGMENT . 15 Surface Faulting and Geology . 15 Wasatch Fault Scarp and Surface Offset . 16 Trench Stratigraphy and Structure . 16 Pre-Bonneville Alluvial-Fan Deposits. 16 Lake Bonneville Sediments . 18 Liquefied Sand and Gravel . 21 Scarp-Derived Colluvium. 21 Cultural Fill . 24 East Bench Fault of the Wasatch Fault Zone . 24 Paleoseismology of the Penrose Drive Site . 25 Chronology of Surface-Faulting Earthquakes . 25 Earthquake Recurrence and Fault Slip Rate . 28 PALEOSEISMOLOGY OF THE SALT LAKE CITY SEGMENT . 29 Correlation of Earthquakes . 29 Earthquake Recurrence . 32 Vertical Slip Rate . 33 Rupture Extent . 33 DISCUSSION . 34 SUMMARY AND CONCLUSIONS . 35 ACKNOWLEDGMENTS . 35 REFERENCES . 36 APPENDICES Appendix A – Description of Stratigraphic Units . on CD Appendix B – Examination of Bulk Soil for Radiocarbon Dateable Material . on CD Appendix C – Summary of 14C-Dated Charcoal . on CD Appendix D – Optically Stimulated Luminescence Ages . on CD Appendix E – OxCal Models for the Salt Lake City Segment . on CD Appendix F – Summary of OxCal-Modeling Results for the Salt Lake City Segment . on CD
Responses to pathogen exposure in sentinel juvenile fall-run Chinook salmon in the Sacramento River, CA

Abstract This study investigated how the deployment of juvenile Chinook salmon in ambient river conditions and the subsequent exposure to and infection by pathogens was associated with the changes in the expression of genes involved in immune system functioning, general stress and host development. Juvenile fish were deployed in sentinel cages for 21 days in the Sacramento River, CA, USA. Gill, kidney and intestinal tissue were sampled at 0, 7, 14 and 21 days post-deployment. Pathogen detection and host response were assessed by a combination of molecular and histopathological evaluation. Our findings showed that fish became infected by the parasites Ceratonova shasta, Parvicapsula minibicornis and Ichthyophthirius multifiliis, and to a lesser extent, the bacteria Flavobacterium columnare and Rickettsia-like organisms. Co-infection was common among sentinel fish. Expression of investigated genes was altered following deployment and was often associated with pathogen abundance. This study provides a foundation for future avenues of research investigating pathogens that affect out-migrating Chinook salmon in the Sacramento River, and offers crucial knowledge related to conservation efforts.
The UK government needs to expand covid-19 vaccination this winter

The covid-19 booster campaign in England will start earlier than planned to counter a new subvariant of covid-19. In this open letter to the secretary of state for health and social care, Long Covid SOS argue that the vaccination rollout will still leave a large proportion of the population unprotected against covid-19 and vulnerable to long term health impacts
Bibliometric analysis on the progress of immunotherapy in renal cell carcinoma from 2003-2022

ABSTRACT The incidence and mortality rates of renal cell carcinoma (RCC) have been increasing annually due to obesity and environmental pollution. Although immunotherapy of RCC has been studied for decades, few comprehensive bibliometric analyses exist on the treatment. Therefore, the purpose of this bibliometric analysis was to identify scientific achievements of the global research on RCC immunotherapy from 2003 to 2022 and discuss research trends. Data were retrieved from the Clarivate Web of Science Core Collection using a set retrieval strategy. The Bibliometrics tool Cite Space 6.2 R2 (Chaomei Chen, Drexel University) was used to analyze 4,841 articles. The USA had the most publications (n = 1,864); Harvard University was identified as the leading institution (n = 264); and Dr. Toni K. Choueiri, was the most productive researcher in the field (n = 55). Keyword analysis showed that nivolumab, immune checkpoint inhibitors, tumor microenvironment, everolimus, cabozantinib, resistance, pembrolizumab and ipilimumab were the main hotspots and frontier directions of RCC. By analyzing the results of bibliometrics, national and international researchers can better understand the current research status of RCC immunotherapy and identify new directions for future research. However, the analysis also identified pockets of insularity, highlighting a need for greater collaboration and cooperation among researchers to advance the field of RCC immunotherapy.
Sex-based impact of pancreatic islet stressors in GluCreERT2/Rosa26-eYFP mice

The present study examines differences in metabolic and pancreatic islet adaptative responses following streptozotocin (STZ) and hydrocortisone (HC) administration in male and female transgenic GluCreERT2/Rosa26-eYFP mice. Mice received five daily doses of STZ (50 mg/kg, i.p.) or 10 daily doses of HC (70 mg/kg, i.p.), with parameters assessed on day 11. STZ-induced hyperglycaemia was evident in both sexes, alongside impaired glucose tolerance and reduced insulin concentrations. HC also had similar metabolic effects in male and female mice resulting in classical increases of circulating insulin indicative of insulin resistance. Control male mice had larger pancreatic islets than females and displayed a greater reduction of islet and beta-cell area in response to STZ insult. In addition, female STZ mice had lower levels of beta-cell apoptosis than male counterparts. Following HC administration, female mouse islets contained a greater proportion of alpha cells when compared to males. All HC mice presented with relatively comparable increases in beta- and alpha-cell turnover rates, with female mice being slightly more susceptible to HC-induced beta-cell apoptosis. Interestingly, healthy control female mice had inherently increased alpha-to-beta-cell transdifferentiation rates, which was decreased by HC treatment. The number of glucagon-positive alpha cells altering their lineage to insulin-positive beta cells was increased in male, but not female, STZ mice. Taken together, although there was no obvious sex-specific alteration of metabolic profile in STZ or HC mice, subtle differences in pancreatic islet morphology emphasises the impact of sex hormones on islets and importance of taking care when interpreting observations between males and females.
Detection of sparse differential dependent functional brain connectivity

Functional brain connectivity analysis is an increasingly important technique in neuroscience, psychiatry, and autism research. Functional connectivity can be measured by considering co‐activation of brain regions in resting‐state functional magnetic resonance imaging (rs‐fMRI). We propose a novel Bayesian model to detect differential connections in cross‐correlated functional connectivity between region of interest (ROI) pairs. The proposed sparse clustered neighborhood model induces a lower‐dimensional sparsity and clustering based on a nonparametric Bayesian approach to model sparse differentially connected ROI pairs. Second, it induces a structured dependence model for modeling potential dependence among ROI pairs. We demonstrate Bayesian inference and performance of the proposed model in simulation studies and compare with a standard model. We utilize the proposed model to contrast functional connectivities between participants with autism spectrum disorder and neurotypical participants using cross‐correlated rs‐fMRI data from four sites of the Autism Brain Image Data Exchange.
miR-199a-5p inhibits aortic valve calcification by targeting ATF6 and GRP78 in valve interstitial cells

Abstract Calcific aortic valve disease (CAVD) is an important cause of disease burden among aging populations. Excessive active endoplasmic reticulum stress (ERS) was demonstrated to promote CAVD. The expression level of miR-199a-5p in patients with CAVD was reported to be downregulated. In this article, we aimed to investigate the function and mechanism of miR-199a-5p in CAVD. The expression level of miR-199a-5p and ERS markers was identified in calcific aortic valve samples and osteogenic induction by real-time quantitative polymerase chain reaction (RT-qPCR), immunohistochemistry, and western blotting (WB). Alizarin red staining, RT-qPCR, and WB were used for the verification of the function of miR-199a-5p. The dual luciferase reporter assay and rescue experiment were conducted to illuminate the mechanism of miR-199a-5p. In our study, the expression level of miR-199a-5p was significantly decreased in calcified aortic valves and valve interstitial cells’ (VICs) osteogenic induction model, accompanying with the upregulation of ERS markers. Overexpression of miR-199a-5p suppressed the osteogenic differentiation of VICs, while downregulation of miR-199a-5p promoted this function. 78 kDa glucose-regulated protein (GRP78) and activating transcription factor 6 (ATF6), both of which were pivotal modulators in ERS, were potential targets of miR-199a-5p. miR-199a-5p directly targeted GRP78 and ATF6 to modulate osteoblastic differentiation of VICs. miR-199a-5p inhibits osteogenic differentiation of VICs by regulating ERS via targeting GRP78 and ATF6.
A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems

Large-scale linear systems, $Ax=b$, frequently arise in practice and demand effective iterative solvers. Often, these systems are noisy due to operational errors or faulty data-collection processes. In the past decade, the randomized Kaczmarz (RK) algorithm has been studied extensively as an efficient iterative solver for such systems. However, the convergence study of RK in the noisy regime is limited and considers measurement noise in the right-hand side vector, $b$. Unfortunately, in practice, that is not always the case; the coefficient matrix $A$ can also be noisy. In this paper, we analyze the convergence of RK for noisy linear systems when the coefficient matrix, $A$, is corrupted with both additive and multiplicative noise, along with the noisy vector, $b$. In our analyses, the quantity $\tilde R=\| \tilde A^{\dagger} \|_2^2 \|\tilde A \|_F^2$ influences the convergence of RK, where $\tilde A$ represents a noisy version of $A$. We claim that our analysis is robust and realistically applicable, as we do not require information about the noiseless coefficient matrix, $A$, and considering different conditions on noise, we can control the convergence of RK. We substantiate our theoretical findings by performing comprehensive numerical experiments.
EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild

We present EMDB, the Electromagnetic Database of Global 3D Human Pose and Shape in the Wild. EMDB is a novel dataset that contains high-quality 3D SMPL pose and shape parameters with global body and camera trajectories for in-the-wild videos. We use body-worn, wireless electromagnetic (EM) sensors and a hand-held iPhone to record a total of 58 minutes of motion data, distributed over 81 indoor and outdoor sequences and 10 participants. Together with accurate body poses and shapes, we also provide global camera poses and body root trajectories. To construct EMDB, we propose a multi-stage optimization procedure, which first fits SMPL to the 6-DoF EM measurements and then refines the poses via image observations. To achieve high-quality results, we leverage a neural implicit avatar model to reconstruct detailed human surface geometry and appearance, which allows for improved alignment and smoothness via a dense pixel-level objective. Our evaluations, conducted with a multi-view volumetric capture system, indicate that EMDB has an expected accuracy of 2.3 cm positional and 10.6 degrees angular error, surpassing the accuracy of previous in-the-wild datasets. We evaluate existing state-of-the-art monocular RGB methods for camera-relative and global pose estimation on EMDB. EMDB is publicly available under https://ait.ethz. ch/emdb.
Innovative insights into which statements the third law of thermodynamics includes exactly

It is found from textbooks and literature that the third law of thermodynamics has three different statements, i.e., the Nernst theorem, unattainability statement of absolute zero temperature, and heat capacity statement. It is pointed out that such three statements correspond to three thermodynamic parameters, which are, respectively, the entropy, temperature, and heat capacity, and can be obtained by extrapolating the experimental results of different parameters at ultra-low temperatures to absolute zero. It is expounded that because there's no need for additional assumptions in the derivation of the Nernst equation, the Nernst theorem should be renamed as the Nernst statement. Moreover, it is proved that both the Nernst statement and the heat capacity statement are mutually deducible and equivalent, while the unattainability of absolute zero temperature is only a corollary of the Nernst statement or the heat capacity statement so that it is unsuitably referred to as one statement of the third law of thermodynamics. The conclusion is that the Nernst statement and the heat capacity statement are two equivalent statements of the third law of thermodynamics.
Structural and functional vascular dysfunction within brain metastases is linked to pembrolizumab inefficacy

Structurally and functionally aberrant vasculature is a hallmark of tumor angiogenesis and treatment resistance. Given the synergistic link between aberrant tumor vasculature and immunosuppression, we analyzed perfusion MRI for 44 patients with brain metastases (BM) undergoing treatment with pembrolizumab. To date, vascular-immune communication, or the relationship between immune checkpoint inhibitor (ICI) efficacy and vascular architecture, has not been well-characterized in human imaging studies. We found that ICI-responsive BM possessed a structurally balanced vascular makeup, which was linked to improved vascular efficiency and an immune-stimulatory microenvironment. In contrast, ICI-resistant BM were characterized by a lack of immune cell infiltration and a highly aberrant vasculature dominated by large-caliber vessels. Peri-tumor region analysis revealed early functional changes predictive of ICI resistance before radiographic evidence on conventional MRI. This study was one of the largest functional imaging studies for BM and establishes a foundation for functional studies that illuminate the mechanisms linking patterns of vascular architecture with immunosuppression, as targeting these aspects of cancer biology may serve as the basis for future combination treatments.
Deformed wing virus genotypes A and B do not elicit immunologically different responses in naïve honey bee hosts

Deformed wing virus (DWV), in association with Varroa destructor, is currently the leading factor associated with global honey bee deaths. With the exception of Australia, the virus and mite have a near global distribution, making it difficult to separate the effect of one from the other. Over time, the prevalence of the two main DWV genotypes (DWV-A and DWV-B) has changed, leading to the suggestion that the two strains elicit a different immune response by the host, the western honey bee Apis mellifera. Here we use a honey bee population naïve to both the mite and the virus to investigate if honey bees show a different immunological response to DWV genotypes. We examined the expression of 19 immune genes by RT-qPCR and comprehensively analysed the small RNA response in honey bees after experimental injection with DWV-A and DWV-B. We found no evidence to indicate that DWV-A and DWV-B elicit a different immune response in honey bees. We found that RNA interference genes are up-regulated during DWV infection and that the small interfering RNA (siRNA) response is proportional to viral loads, yet does not inhibit the virus from accumulating to high loads. We also found that the siRNA response towards DWV was weaker than the response to another honey bee pathogen, Black queen cell virus. This suggests that DWV is comparatively better at evading antiviral host defences. There was no evidence for the production of virus-derived PIWI-RNAs in response to DWV infection. In contrast to previous studies, and in the absence of V. destructor, we found no evidence that DWV has an immunosuppressive effect in honey bees. Overall, our results advance our understanding of the immunological effect DWV elicits in honey bees.
Immune checkpoint inhibitor-related myocarditis: current understanding and potential diagnostic and therapeutic strategies

ABSTRACT Introduction Myocarditis associated with immune checkpoint inhibitors presents with an often-severe clinical phenotype with arrhythmias and concurrent myositis. This condition tends to occur early after treatment onset and is associated with a high fatality rate. Diagnosis may be challenging, and treatment algorithms are still evolving. Areas covered This review will provide an overview of immune checkpoint inhibitor mechanism of action and how it relates to myocarditis pathophysiology, diagnostic algorithms and potential pitfalls, and emerging treatment approaches published until May 2023. We will focus on the state of the field and potential new directions in research and patient care. We will also provide consensus-based diagnostic and therapeutic algorithms endorsed by major societies. Expert Opinion The field needs more evidence-based approaches to risk stratification so that therapy can be tailored toward less cardiotoxic alternatives in high-risk patients. For diagnostic and therapeutic approaches, data from animal models are unlikely to provide conclusive evidence given the complexity of the human immune system. We strongly invite practitioners in the field to contribute every case to the ongoing multicenter registries.
FallDeWideo: Vision-Aided Wireless Sensing Dataset for Fall Detection with Commodity Wi-Fi Devices

Falling is one of the most dangerous events for the elderly and one of the most pressing public concern, which calls for an accurate, efficient, ubiquitous, cost-effective and privacy-preserving fall detection system to mitigate the negative consequences. Wi-Fi sensing-based method is considered as a potential technique to meet such needs. Existing solutions simply treat fall detection simply as a binary classification task, which leads to interpretability risks. To address this issue, we present FallDeWideo, the first multi-modal dataset dedicated to fall detection, comprising Wi-Fi CSI data and videos recorded during various kinds of events. We provide benchmark model for this dataset as well. Specifically, we train a CSI-based human pose estimation model (HPE) using video data as the supervision modality. The trained model can estimate human pose solely on Wi-Fi channel state information (CSI), and then detects whether a fall event occurs. This pipeline extracts rich information from CSI data and detects fall with more than just an alarm, but attached with an HPE, which allows more refined management of fall risks. We envision that this dataset will contribute to the wireless sensing research coomunity with respect to healthcare, action recognition, and cross-modal sensing. Codes and link to the dataset is available at https://github.com/shawnnn3di/falldewideo.