Miracle-dz/UniFAR-FTUs huggingface dataset:
Distribution patterns of Triatominae (Hemiptera: Reduviidae) in the Americas: an analysis based on networks and endemicity

Triatominae, commonly known as kissing bugs, are a group of approximately 150 species of hematophagous reduviids, some of which are vectors of Trypanosoma cruzi, the etiological agent of the Chagas disease. Distributional patterns of triatomines have been studied based on macroecological and historical biogeographic approaches, but the definition of distributional patterns and areas of endemism are yet to be defined based on objective criteria. We used two methods to identify biogeographic units in the Triatominae: the endemicity analysis based on an optimality criterion (NDM/VNDM software) and a network approach aimed to simplify and highlight the underlying structure in species distributions (Infomap Bioregions). Information on species distributions was obtained from a data paper, comprising 21 815 records for 135 triatomine species occurring in the Americas. The resulting areas of each method were clustered using a meta consensus criterion based on dissimilarities and interpreted as recurrent areas. The NDM areas show a nested structure, presenting greater restrictions to the inclusion of species in a given area, requiring broad sympatry. In contrast, bioregions emphasize spatial patterns with better‐delimited areas and species occurrences do not need to be highly congruent. When areas were clustered based on their species composition two clear patterns arose from both methods: (i) areas within the southern Amazon and southeast South America, especially in the Chacoan subregion, formed a cluster, and (ii) areas north of the Amazon, Pacific, Mesoamerica, Mexican transition zone and Nearctic formed another cluster. Moreover, within each of these two clusters, there was a latitudinal gradient of the areas in the Americas showing spatial similarity between the areas found in both methods. Results of both methods show well‐bound areas separating the triatomine fauna in the Brazilian subregions, resulting in the recognition of areas corresponding to the biomes Chaco, Pampa, Cerrado, and Caatinga, and, to a lesser extent, the Atlantic Forest.
Sexual assault survivors' engagement with advocacy services during the COVID‐19 pandemic

Abstract Sexual assault advocates provide support to survivors as they navigate medical, legal, housing, and other complex systems. However, social distancing measures enacted in response to coronavirus disease 2019 (COVID‐19) forced changes to traditional advocacy services. The current study aimed to understand how the COVID‐19 pandemic transformed survivors' engagement with sexual assault advocacy services. Semi‐structured interviews were conducted with 12 sexual assault advocates from a community‐based advocacy organization in Detroit. Thematic analysis was employed to uncover emergent themes reflecting COVID‐19's impact on survivors' engagement with advocacy services. Three themes were identified: (1) Disruption to advocacy services; (2) difficulty obtaining tangible resources; and (3) desire for COVID‐related support, information, and resources. This study highlights the needs of sexual assault survivors during the COVID‐19 pandemic and explores how public health emergencies have the potential to exacerbate the needs of this vulnerable population. Implications and future directions for service provision and research are considered.
No effect of oral ketone ester supplementation on exercise capacity in patients with McArdle disease and healthy controls: A randomized placebo‐controlled cross‐over study

Patients with glycogen storage disease type V (GSDV), also known as McArdle disease, have blocked glycogen breakdown due to myophosphorylase deficiency, leading to exercise intolerance, muscle pain, and risk of muscle damage. Blood‐derived ketone bodies (KBs) constitute an alternative energy source that could fuel the muscle independent of glycogenolysis. However, except for long‐time fasting or ketogenic dieting, KBs are present in low quantities. This led us to explore the effects of a drink containing exogenously produced KBs in the form of D‐β‐hydroxybutyrate esters (KE) on exercise capacity and metabolism in patients with GSDV. Eight GSDV patients and four healthy controls (HC) were included in this placebo‐controlled, cross‐over study where subjects were randomized to receive a KE drink with 395 mgKE/kg or placebo drink on two separate days 25 min before a submaximal cycle exercise test. The primary outcome was exercise capacity as indicated by heart rate response (HR) to exercise. Secondary outcomes included perceived exertion (PE) and measures of KB, carbohydrate, and fat metabolism during exercise. In GSDV, the KE drink vs. placebo increased plasma KBs and KB oxidation (p ≤ 0.0001) but did not improve exercise capacity as judged from HR (p = 0.120) and PE (p = 0.109). In addition, the KE drink lowered plasma glucose, free fatty acids, and lowered lipolytic rate and glucose rate of appearance compared with placebo. Similar results were found in the HC group. The present study indicates that an increase in KB oxidation by oral KE supplementation does not improve exercise capacity in GSDV possibly because of KB‐induced inhibition of lipolysis and liver glucose output. Thus, oral KE supplementation alone cannot be recommended as a treatment option for patients with GSDV.
A Founder Mutation in EHD1 Presents with Tubular Proteinuria and Deafness

Significance Statement Renal tubular protein reabsorption has been of interest in the kidney community, and despite recognition of numerous associated inherited diseases, the detailed molecular basis remains poorly understood. We identified a missense mutation in EHD1 in six patients with tubular proteinuria and sensorineural hearing deficit, identifying the gene as a critical component of the renal protein reabsorption machinery and of inner ear function. EHD1, a key player in vesicular dynamics, has previously been associated with early ciliogenesis. However, no obvious defect of ciliogenesis was found in the kidneys of the patients nor in knockin and knockout mice. These data may contribute to a better understanding of the functional relevance of EHD1 in human tissues, particularly in the kidney and inner ear. Visual Abstract Background The endocytic reabsorption of proteins in the proximal tubule requires a complex machinery and defects can lead to tubular proteinuria. The precise mechanisms of endocytosis and processing of receptors and cargo are incompletely understood. EHD1 belongs to a family of proteins presumably involved in the scission of intracellular vesicles and in ciliogenesis. However, the relevance of EHD1 in human tissues, in particular in the kidney, was unknown. Methods Genetic techniques were used in patients with tubular proteinuria and deafness to identify the disease-causing gene. Diagnostic and functional studies were performed in patients and disease models to investigate the pathophysiology. Results We identified six individuals (5–33 years) with proteinuria and a high-frequency hearing deficit associated with the homozygous missense variant c.1192C>T (p.R398W) in EHD1. Proteinuria (0.7–2.1 g/d) consisted predominantly of low molecular weight proteins, reflecting impaired renal proximal tubular endocytosis of filtered proteins. Ehd1 knockout and Ehd1R398W/R398W knockin mice also showed a high-frequency hearing deficit and impaired receptor-mediated endocytosis in proximal tubules, and a zebrafish model showed impaired ability to reabsorb low molecular weight dextran. Interestingly, ciliogenesis appeared unaffected in patients and mouse models. In silico structural analysis predicted a destabilizing effect of the R398W variant and possible inference with nucleotide binding leading to impaired EHD1 oligomerization and membrane remodeling ability. Conclusions A homozygous missense variant of EHD1 causes a previously unrecognized autosomal recessive disorder characterized by sensorineural deafness and tubular proteinuria. Recessive EHD1 variants should be considered in individuals with hearing impairment, especially if tubular proteinuria is noted.
The prevalence of mental health conditions in healthcare workers during and after a pandemic: Systematic review and meta‐analysis

Abstract Aims This review aims to explore the prevalence and incidence rates of mental health conditions in healthcare workers during and after a pandemic outbreak and which factors influence rates. Background Pandemics place considerable burden on care services, impacting on workers' health and their ability to deliver services. We systematically reviewed the prevalence and incidence of mental health conditions in care workers during pandemics. Design Systematic review and meta‐analysis. Data sources Searches of MEDLINE, Embase, Cochrane Library and PsychINFO for cohort, cross‐sectional and case–control studies were undertaken on the 31 March 2020 (from inception to 31 March 2020). Review methods Only prevalence or incidence rates for mental health conditions from validated tools were included. Study selection, data extraction and quality assessment were carried out by two reviewers. Meta‐analyses and subgroup analyses were produced for pandemic period (pre‐ and post), age, country income, country, clinical setting for major depression disorder (MDD), anxiety disorder and post‐traumatic stress disorder (PTSD). Results No studies of incidence were found. Prevalence estimates showed that the most common mental health condition was PTSD (21.7%) followed by anxiety disorder (16.1%), MDD (13.4%) and acute stress disorder (7.4%) (low risk of bias). For symptoms of these conditions there was substantial variation in the prevalence estimates for depression (95% confidence interval [CI]:31.8%; 60.5%), anxiety (95% CI:34.2%; 57.7%) and PTSD symptoms (95% CI,21.4%; 65.4%) (moderate risk of bias). Age, level of exposure and type of care professional were identified as important moderating factors. Conclusion Mental disorders affect healthcare workers during and after infectious disease pandemics, with higher proportions experiencing symptoms. Impact This review provides prevalence estimates of mental health conditions during and after a pandemic which could be used to inform service staffing impact and formulation of preventative strategies, by identifying clinical populations who may be at high risk of developing mental health symptoms and conditions.
A behavioral approach to annotating sleep in infants: Building on the classic framework

In infants, monitoring and assessment of sleep can offer valuable insights into sleep problems and neuro‐cognitive development. The gold standard for sleep measurements is polysomnography (PSG), but this is rather obtrusive, and unpractical in non‐laboratory situations. Behavioral observations constitute a non‐obtrusive, infant‐friendly alternative. In the current methodological paper, we describe and validate a behavior‐based framework for annotating infant sleep states. For development of the framework, we used existing sleep data from an in‐home study with an unobtrusive test setup. Participants were 20 infants with a mean age of 180 days. Framework development was based on Prechtl's method. We added rules and guidelines based on discussions and consent among annotators. Key to using our framework is combining data from several modalities, for example, closely observing the frequency, type, and quality of movements, breaths, and sounds an infant makes, while taking the context into account. For a first validation of the framework, we set up a small study with 14 infants (mean age 171 days), in which they took their day‐time nap in a laboratory setting. They were continuously monitored by means of PSG, as well as by the test setup from the in‐home study. Recordings were annotated based both on PSG and our framework, and then compared. Data showed that for scoring wake vs. active sleep vs. quiet sleep the framework yields results comparable to PSG with a Cohen's Kappa agreement of ≥0.74. Future work with a larger cohort is necessary for further validating this framework, and with clinical populations for determining whether it can be generalized to these populations as well.
Competency Status and Desire for Training in Core Public Health Domains: An Analysis by Job Level

Context: Although trainings on core public health domains are widely available, and experts concur that competency in multiple core domains (analysis/assessment, leadership, communication, etc) is desirable for public health professionals, many still lack such competency. Employee job level could be a factor, as organizational research indicates that broad skill sets often hold importance mainly for higher-level employees. Objective: This study examines whether the association between competency and desire for training in core public health domains depends on job level. Design: A training preferences and domain competency survey of public health professionals: nonmanagers (n = 790), middle managers (n = 332), and upper managers (n = 69). The association of competency in domains overall with number of related training topics desired was examined using median tests. The association of competency in individual domains with desire for specific related training topics was assessed using logistic regressions adjusted for education. Settings: Public health departments in the US Southwest (2013-2019). Main Outcome Measures: Competence in core domains: Financial Planning and Management, Analysis/Assessment, Communication, Cultural Competency, Leadership/Systems Thinking, Policy Development/Program Planning, Public Health Sciences, and Community Dimensions of Practice. Desire for training (yes/no) in 25 domain-related topics. Results: Upper managers lacking overall competence in core domains desired more training topics than their competent counterparts (median of 12 topics vs 5, P = .02). In contrast, nonmanagers lacking overall competence desired fewer topics than their competent counterparts (4 vs 6, P < .001). Upper managers with lesser competency in an individual domain often had significantly higher odds of desiring training related to the domain, but the opposite was found for nonmanagers. Among middle managers, little association between competency and training desire was found. Conclusions: Ideally, lesser competence in core domains would be accompanied by greater desire for ameliorative training, but only upper managers exhibited this pattern. Efforts are needed to better connect domain competency status and training desire among nonmanagers and middle managers.
Construction of an end-to-end regression neural network for the determination of a quantitative index sagittal root inclination.

BACKGROUND Immediate implant placement in the aesthetic area requires comprehensive assessments with nearly thirty quantitative indexes. Most AI-driven measurements of quantitative indexes depend on segmentation or landmark detection, which require extra labeling of images and contain possible intraclass errors. METHODS For the initial attempt, the method was tested on sagittal root inclination measurement. This study had developed an accurate and efficient end-to-end model incorporating a convolutional neural network (CNN) based on unlabeled cone-beam computed tomography (CBCT) images for immediate implant placement diagnosis and treatment. The model took pretrained ResNeXt101 as the backbone and was constructed based on 2920 CBCT images with corresponding angles of the tooth axis and bone axis. The performance of our CNN model was evaluated on a separate test set. RESULTS Our model exhibited high prediction accuracy in sagittal root inclination measurements, as evidenced by the low mean average error (MAE) of 2.16, the high correlation coefficient of 0.915 to manual measurement, and the narrow 95% confidence interval shown by Bland-Altman plots. The intraclass correlation coefficient (ICC) further confirmed the measurement accuracy of our model was comparable to that of junior clinicians. The model took merely 0.001 s for each CBCT image, making it highly efficient. To better understand the model's quality, we visualized our end-to-end CNN model through Guided Backpropagation, Grad-CAM and Guided Grad-CAM, and confirmed its effectiveness in region recognition. CONCLUSIONS We succeeded in taking the first step in constructing the end-to-end immediate implant placement AI tool through sagittal root inclination measurements without intermediate steps and extra labeling on images. This article is protected by copyright. All rights reserved.
Clinical Report: Experiences of a Driver with Vision Impairment when Using a Tesla Car

SIGNIFICANCE Assisted and autonomous driving technologies may be a new paradigm shift for the driving rehabilitation field to enable less restricted driving, increase driving confidence, and maintain driving safety for drivers with vision impairment. PURPOSE This study aimed to document how a driver with vision impairment uses assistance and automation systems in a Tesla car based on real-world experiences of using these technologies. METHODS A 53-year-old man with Stargardt disease and 20/182 visual acuity self-explored the use of driver assistance technologies, which resulted in purchasing a Tesla Model Y with the full self-driving package in 2020. Two semistructured interviews were administered to quantify the driver's driving habits, adaptive strategies, use of the assisted and semiautonomous driving features in the Tesla car, and use of his bioptic telescope. RESULTS When driving a Tesla car, the patient developed new driving strategies by codriving with different assisted and semiautonomous functions (e.g., Traffic-Aware Cruise Control, Traffic Light and Stop Sign Control, Autopilot) in different road environments. He shifted his main task from active driving to supervising the car automation systems in most driving situations. He also integrated a new use of his bioptic telescope to support him with monitoring the road environment before granting permission to the automated systems for car maneuver changes. The patient reported that driving confidence greatly increased and that he is able to drive more often and in situations that he would otherwise avoid because of difficulties related to his vision. CONCLUSIONS This clinical report demonstrates how assisted and semiautonomous driving systems in a Tesla car were used to support daily driving by a driver with vision impairment. Codriving with these systems allows him to confidently drive more often and to avoid less situations than he used to.
The Kidney Transplant Self-Management Scale: Instrument Development and Psychometric Testing

This study reports the development and psychometric testing of the Kidney Transplant Self-Management Scale (KT-SMS). The instrument development phase included the following: (a) conceptual definition, item generation, and framework; (b) face validity assessment; and (c) content validity assessment. The psychometric testing phase included the following: (a) construct validity testing; (b) internal consistency reliability testing; (c) convergent validity testing; and (d) predictive power of the KT-SMS using a cross-sectional sample of kidney transplant recipients (N = 153). Factor analysis results supported the 16-item KT-SMS as multidimensional with five domains (medication adherence, cardiovascular risk reduction, protecting kidney, ownership, and skin cancer prevention). Internal consistency reliability for the total scale and five subscales was adequate. Convergent validity was supported as the intercorrelations of the KT-SMS total score with the five subscales were significant. The KT-SMS total score and five subscales were significantly correlated with self-efficacy for managing chronic disease, patient activation, and health-related quality of life.
Effects of exercise and dietary intervention on muscle, adipose tissue, and blood IRISIN levels in obese male mice and their relationship with the beigeization of white adipose tissue

Background Obesity is a growing problem worldwide, and newer therapeutic strategies to combat it are urgently required. This study aimed to analyze the effect of diet and exercise interventions on energy balance in mice and elucidate the mechanism of the peroxisome proliferator-activated receptor-gamma co-activator-1-alpha-IRISIN-uncoupling protein-1 (PGC-1α-IRISIN-UCP-1) pathway in the beigeization of white adipose tissue. Methods Four-week-old male C57BL/6 mice were randomly divided into normal (NC) and high-fat diet (HFD) groups. After 10 weeks of HFD feeding, obese mice were randomly divided into obesity control (OC), obesity diet control (OD), obesity exercise (OE), and obesity diet control exercise (ODE) groups. Mice in OE and ODE performed moderate-load treadmill exercises: for OD and ODE, the diet constituted 70% of the food intake of the OC group for 8 weeks. Results Long-term HFD inhibits white adipose tissue beigeization by downregulating PGC-1α-IRISIN-UCP-1 in the adipose tissue and skeletal muscles. Eight weeks of exercise and dietary interventions alleviated obesity-induced skeletal muscle, and adipose tissue PGC-1α-IRISIN-UCP-1 pathway downregulation promoted white adipose tissue beigeization and reduced body adipose tissue. The effects of the combined intervention were better than those of single interventions. Conclusions Diet and exercise intervention after obesity and obesity itself may affect the beigeization of WAT by downregulating/upregulating the expression/secretion of skeletal muscle and adipose PGC-1α-IRISIN, thereby influencing the regulation of bodyweight. The effects of the combined intervention were better than those of single interventions.
Evidence for quasar fast outflows being accelerated at the scale of tens of parsecs

Quasar outflows may play a crucial role in regulating the host galaxy, although the spatial scale of quasar outflows remain a major enigma, with their acceleration mechanism poorly understood. The kinematic information of outflow is the key to understanding its origin and acceleration mechanism. Here, we report the galactocentric distances of different outflow components for both a sample and an individual quasar. We find that the outflow distance increases with velocity, with a typical value from several parsecs to more than one hundred parsecs, providing direct evidence for an acceleration happening at a scale of the order of 10 parsecs. These outflows carry ∼1% of the total quasar energy, while their kinematics are consistent with a dust-driven model with a launching radius comparable to the scale of a dusty torus, indicating that the coupling between dust and quasar radiation may produce powerful feedback that is crucial to galaxy evolution.