Miracle-dz/UniFAR-FTUs huggingface dataset:
Hypertension and intracerebral hemorrhage recurrence among white, black, and Hispanic individuals

Objective To clarify whether recurrence risk for intracerebral hemorrhage (ICH) is higher among black and Hispanic individuals and whether this disparity is attributable to differences in blood pressure (BP) measurements and their variability. Methods We analyzed data from survivors of primary ICH enrolled in 2 separate studies: (1) the longitudinal study conducted at Massachusetts General Hospital (n = 759), and (2) the ERICH (Ethnic/Racial Variations of Intracerebral Hemorrhage) study (n = 1,532). Participants underwent structured interview at enrollment (including self-report of race/ethnicity) and were followed longitudinally via phone calls and review of medical records. We captured systolic BP (SBP) and diastolic BP measurements, and quantified variability as SBP and diastolic BP variation coefficients. We used multivariable (Cox regression) survival analysis to identify risk factors for ICH recurrence. Results We followed 2,291 ICH survivors (1,121 white, 529 black, 605 Hispanic, and 36 of other race/ethnicity). Both black and Hispanic patients displayed higher SBP during follow-up (p < 0.05). Black participants also displayed greater SBP variability during follow-up (p = 0.032). In univariable analyses, black and Hispanic patients were at higher ICH recurrence risk (p < 0.05). After adjusting for BP measurements and their variability, both Hispanic (hazard ratio = 1.51, 95% confidence interval 1.14–2.00, p = 0.004) and black (hazard ratio = 1.98, 95% confidence interval 1.36–2.86, p < 0.001) patients remained at higher risk of ICH recurrence. Conclusion Black and Hispanic patients are at higher risk of ICH recurrence; hypertension severity (average BP and its variability) does not fully account for this finding. Additional studies will be required to further elucidate determinants for this health disparity.
SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction

We contribute a dense SLAM system that takes a live stream of depth images as input and reconstructs non-rigid deforming scenes in real time, without templates or prior models. In contrast to existing approaches, we do not maintain any volumetric data structures, such as truncated signed distance function (TSDF) fields or deformation fields, which are performance and memory intensive. Our system works with a flat point (surfel) based representation of geometry, which can be directly acquired from commodity depth sensors. Standard graphics pipelines and general purpose GPU (GPGPU) computing are leveraged for all central operations: i.e., nearest neighbor maintenance, non-rigid deformation field estimation and fusion of depth measurements. Our pipeline inherently avoids expensive volumetric operations such as marching cubes, volumetric fusion and dense deformation field update, leading to significantly improved performance. Furthermore, the explicit and flexible surfel based geometry representation enables efficient tackling of topology changes and tracking failures, which makes our reconstructions consistent with updated depth observations. Our system allows robots to maintain a scene description with non-rigidly deformed objects that potentially enables interactions with dynamic working environments.
Evolutionary implications of hemipenial morphology in the terrestrial Australian elapid snakes

Venomous proteroglyphous or ‘elapid’ snakes are distributed across much of the tropical and subtropical world but are most diverse in Australia. Due to diVering opinions of character weight and problems associated with high levels of homoplasy in traditionally used snake character systems, there is no well accepted hypothesis of phylogenetic relationships for the Australian elapids. Moreover, few or no synapomorphies have been identified to define many of the 20 currently recognized genera. As part of a re-evaluation of previous work, I have undertaken a survey of hemipenial morphology in this diverse radiation in a search for supraspecific synapomorphies. Up to 14 aspects of hemipenial morphology were scored on 756 museum specimens and provide the basis for hemipenial descriptions of 64 species of Australian elapid. Morphology is highly conservative at generic levels and supportive of a number of previously suggested phyletic groups, but divergent between putative monophyletic lineages. Hemipenial morphology provides synapomorphies that define seven, and possibly eight, monophyletic groups at subgeneric, generic, and suprageneric levels: (1) Demansia, Oxyuranus, Pseudonaja, and Pseudechis each display unique hemipenial morphologies but share a number of character states. The following groups each share unique hemipenial types: (2) Simoselaps calonotus and the Simoselaps semifasciatus species group, (3) Vermicella and the Simoselaps bertholdi species group, (4) Cacophis and Furina, (5) Austrelaps, Echiopsis, Hoplocephalus, Notechis, and Tropidechis, (6) Drysdalia and Hemiaspis, (7) Rhinoplocephalus and Suta, and (8) Acanthophis and Denisonia. Higher level associations also are identified. The organs of Cacophis‐Furina and Vermicella‐Simoselaps bertholdi clades are very similar in shape and diVer in only a single character. The Drysdalia‐Hemiaspis and Rhinoplocephalus‐Suta clades share a hemipenial shape and also diVer in only a single character. Where sample sizes were suYcient for comparison, hemipenes displayed little or no intraspecific variation.
Mangifera indica L. Leaf Extract in Combination With Luteolin or Quercetin Enhances VO2peak and Peak Power Output, and Preserves Skeletal Muscle Function During Ischemia-Reperfusion in Humans

It remains unknown whether polyphenols such as luteolin (Lut), mangiferin and quercetin (Q) have ergogenic effects during repeated all-out prolonged sprints. Here we tested the effect of Mangifera indica L. leaf extract (MLE) rich in mangiferin (Zynamite®) administered with either quercetin (Q) and tiger nut extract (TNE), or with luteolin (Lut) on sprint performance and recovery from ischemia-reperfusion. Thirty young volunteers were randomly assigned to three treatments 48 h before exercise. Treatment A: placebo (500 mg of maltodextrin/day); B: 140 mg of MLE (60% mangiferin) and 50 mg of Lut/day; and C: 140 mg of MLE, 600 mg of Q and 350 mg of TNE/day. After warm-up, subjects performed two 30 s Wingate tests and a 60 s all-out sprint interspaced by 4 min recovery periods. At the end of the 60 s sprint the circulation of both legs was instantaneously occluded for 20 s. Then, the circulation was re-opened and a 15 s sprint performed, followed by 10 s recovery with open circulation, and another 15 s final sprint. MLE supplements enhanced peak (Wpeak) and mean (Wmean) power output by 5.0–7.0% (P < 0.01). After ischemia, MLE+Q+TNE increased Wpeak by 19.4 and 10.2% compared with the placebo (P < 0.001) and MLE+Lut (P < 0.05), respectively. MLE+Q+TNE increased Wmean post-ischemia by 11.2 and 6.7% compared with the placebo (P < 0.001) and MLE+Lut (P = 0.012). Mean VO2 during the sprints was unchanged, suggesting increased efficiency or recruitment of the anaerobic capacity after MLE ingestion. In women, peak VO2 during the repeated sprints was 5.8% greater after the administration of MLE, coinciding with better brain oxygenation. MLE attenuated the metaboreflex hyperpneic response post-ischemia, may have improved O2 extraction by the Vastus Lateralis (MLE+Q+TNE vs. placebo, P = 0.056), and reduced pain during ischemia (P = 0.068). Blood lactate, acid-base balance, and plasma electrolytes responses were not altered by the supplements. In conclusion, a MLE extract rich in mangiferin combined with either quercetin and tiger nut extract or luteolin exerts a remarkable ergogenic effect, increasing muscle power in fatigued subjects and enhancing peak VO2 and brain oxygenation in women during prolonged sprinting. Importantly, the combination of MLE+Q+TNE improves skeletal muscle contractile function during ischemia/reperfusion.
Genitourinary and gastrointestinal toxicity among patients with localized prostate cancer treated with conventional versus moderately hypofractionated radiation therapy: systematic review and meta-analysis

Abstract Background: Hypofractionated (HRT) prostate radiation therapy has the potential to deliver a higher biologically effective dose over a shorter time compared with conventional fractionation (CRT). HRT, giving fewer fractions each with higher dose, might improve the therapeutic ratio, resource use and patient convenience but the toxicity is still controversial. Our objective was to compare the gastroinstestinal (GI) and genitourinary (GU) toxicity of HRT versus CRT. Methods: Systematic review and meta-analysis of randomized clinical trials studies in PubMed, Cochrane and EMBASE databases published through December 2016 was done. Only randomized trials that evaluated patients with localized prostate cancer (PCa) undergoing CRT or HRT were included. In these studies, the daily dose was 1.8 Gy or 2 Gy per day for CRT and 2.4 to 3.4 Gy for HRT. Results: 7317 patients in nine studies were analyzed. Six studies included acute GU toxicity data which showed similar rates for both HRT and CRT (32.6vs. 31.9%; RD 0.00; 95% CI; −0.03,0.03; p = .81; I2 = 0%). Similarly, seven studies showed no difference in late GU toxicity based on treatment schedule (28.7 vs. 28.0%; RD −0.01; 95% CI; −0.04,0.03; p = .67; I2 = 52%). GI toxicity at three months after radiotherapy was higher in patients treated with HRT in six studies (27.5 vs. 21.9%; RD 0.06; 95% CI; 0.02,0.10; p = .004; I2 = 39%); however, eight studies showed GI toxicity 12 months or more after radiotherapy that was statistically the same (12.9 HRT vs. 16.2% CRT; RD −0.01; 95% CI; −0.04,0.02; p = .41; I2 = 58%). Conclusion: In meta-analysis of the available randomized trials on moderate HRT versus CRT for prostate cancer, acute and late GU toxicity were similar for both treatment schemes. While HRT was associated with higher acute GI toxicity, late toxicity was similar.
Image Dehazing Using Residual-Based Deep CNN

There is a series of image degradation in the image acquired in haze and other weather. The single image dehazing is a challenging and ill-posed problem. Using deep neural network methods, it solves the drawbacks of manually designing haze-related features. This paper proposes a dehazing algorithm using residual-based deep CNN. The network model is divided into two phases: in the first stage, a haze image is input, and the transmission map is estimated by network; in the second stage, the ratio of foggy image and transmission map is used as input, and the residual network is used to remove haze. It avoids the estimation of atmospheric light and improves the efficiency of dehazing. To train the proposed network, we use the NYU2 depth dataset as the training set. In the full-reference metric peak signal to noise ratio, structural similarity, and feature similarity and no-reference metric Spatial–Spectral Entropy-based Quality, Blind/Referenceless Image Spatial Quality Evaluator, and Natural Image Quality Evaluator aspect, the experimental results confirm the efficiency and robustness of the proposed method.
Wearable-based pedestrian inertial navigation with constraints based on biomechanical models

Our aim in this paper is to analyze inertial navigation systems (INSs) from the biomechanical point of view. We wanted to improve the performance of a thigh INS by applying biomechanical constraints. To that end, we propose a biomechanical model of the leg. The latter establishes a relationship between the orientation of the thigh INS and the kinematic motion of the leg. This relationship allows to observe the effect that the orientation errors have in the expected motion of the leg. We observe that the errors in the orientation estimation of an INS translate into incoherent human motion. Based on this analysis, we proposed a modified thigh INS to integrate biomechanical constraints. The results show that the proposed system outperforms the thigh INS in 50% regarding distance error and 32% regarding orientation error. Our approach allows us to improve the performance of INS using solely inertial measurements and biomechanical constraints. Additionally, it allows us to state that the performance of an INS can be improved by correcting the incoherent orientations.
Nuclear localization signal targeting to macronucleus and micronucleus in binucleated ciliate Tetrahymena thermophila

Ciliated protozoa possess two morphologically and functionally distinct nuclei: a macronucleus (MAC) and a micronucleus (MIC). The MAC is transcriptionally active and functions in all cellular events. The MIC is transcriptionally inactive during cell growth, but functions in meiotic events to produce progeny nuclei. Thus, these two nuclei must be distinguished by the nuclear proteins required for their distinct functions during cellular events such as cell proliferation and meiosis. To understand the mechanism of the nuclear transport specific to either MAC or MIC, we identified specific nuclear localization signals (NLSs) in two MAC‐ and MIC‐specific nuclear proteins, macronuclear histone H1 and micronuclear linker histone‐like protein (Mlh1), respectively. By expressing GFP‐fused fragments of these proteins in Tetrahymena thermophila cells, two distinct regions in macronuclear histone H1 protein were assigned as independent MAC‐specific NLSs and two distinct regions in Mlh1 protein were assigned as independent MIC‐specific NLSs. These NLSs contain several essential lysine residues responsible for the MAC‐ and MIC‐specific nuclear transport, but neither contains any consensus sequence with known monopartite or bipartite NLSs in other model organisms. Our findings contribute to understanding how specific nuclear targeting is achieved to perform distinct nuclear functions in binucleated ciliates.
Comparative Analysis of the Classification of Food Products in the Mexican Market According to Seven Different Nutrient Profiling Systems

Nutrient profiling systems (NPS) are used around the world. In some countries, the food industry participates in the design of these systems. We aimed to compare the ability of various NPS to identify processed and ultra-processed Mexican products containing excessive amounts of critical nutrients. A sample of 2544 foods and beverages available in the Mexican market were classified as compliant and non-compliant according to seven NPS: the Pan American Health Organization (PAHO) model, which served as our reference, the Nutrient Profiling Scoring Criterion (NPSC), the Mexican Committee of Nutrition Experts (MCNE), the Health Star Rating (HSR), the Mexican Nutritional Seal (MNS), the Chilean Warning Octagons (CWO) 2016, 2018 and 2019 criteria, and Ecuador’s Multiple Traffic Light (MTL). Overall, the proportion of foods classified as compliant by the HSR, MTL and MCNE models was similar to the PAHO model. In contrast, the NPSC, the MNS and the CWO-2016 classified a higher amount of foods as compliant. Larger differences between NPS classification were observed across food categories. Results support the notion that models developed with the involvement of food manufacturers are more permissive than those based on scientific evidence. Results highlight the importance of thoroughly evaluating the underlying criteria of a model.
Obese individuals with type 2 diabetes demonstrate decreased activation of the salience‐related insula and increased activation of the emotion/salience‐related amygdala to visual food cues compared to non‐obese individuals with diabetes: A preliminary study

A better understanding of the underlying pathophysiology of obesity and its comorbidities is needed to develop more effective therapeutics. In the current study, differences in brain activation to food cues between obese (n = 6) versus non‐obese (n = 5) individuals with type 2 diabetes were examined cross‐sectionally using functional magnetic resonance imaging. Obese individuals with type 2 diabetes demonstrate less activation of the salience‐ and reward‐related insula while fasting and increased activation of the amygdala to highly desirable foods after a meal. These findings in individuals with type 2 diabetes suggest a persistence of differences between obese versus non‐obese individuals. Future, larger studies should confirm this differential activation between lean and obese individuals with and without type 2 diabetes.
Hand-Crafted Feature Guided Deep Learning for Facial Expression Recognition

A number of facial expression recognition algorithms based on hand-crafted features and deep neutral networks have been developed. Motivated by the similarity between the hand-crafted features and features learned by deep network, a new feature loss is proposed to embed the information of hand-crafted features into the training process of network, which tries to reduce the difference between the two features. Based on the feature loss, a general framework for embedding the traditional feature information was developed and tested using CK+, JAFFE and FER2013 datasets. Experimental results show that the proposed network achieves much better accuracy than the original hand-crafted feature and the network without using our feature loss. When compared with other algorithms in literature, our network also achieved the best performance on CK+ dataset, i.e. 97.35% accuracy has been achieved.
A Model for Graded Retinal Ischemia in Rats

Purpose Retinal ischemic injury depends on grade and duration of an ischemic insult. We developed a method to induce ischemic injury in rats permitting: (1) Variable grades of retinal blood flow (F) reduction, (2) controllable duration of F reduction, (3) injury without collateral neural damage, and (4) optical measurements of F and O2-related factors: O2 delivery (DO2), O2 extraction fraction (OEF), and metabolic rate of O2 (MO2). Methods In five anesthetized rats the left common carotid artery (CA) was ligated and the right CA was exposed. A variable clamp having a backstop and a rod mounted on a micromanipulator straddled the right CA. Advancing the rod with the micromanipulator produced graded compressions of the CA. F and O2-related factors were measured with established optical techniques. Results Four to seven grades of F for at least 10 minutes were achieved per rat. F decreased only with compressions of over 60%. DO2 changed in proportion to F, particularly at low F. As F decreased, OEF initially changed little, but then rose steeply to its maximum of 1 when F was approximately 4 μL/min. MO2 was stable with reduced F until OEF maximized, after which it decreased progressively. Conclusions This model in rats permits acute, graded inner retinal ischemia that is reversible after prescribed durations, does not otherwise injure the eye and allows optical measurement of important physiologic factors during ischemia. Translational Relevance This model will allow improved understanding of retinal ischemic injury and enable better management of this common, sight-threatening affliction.
Critical role of the pore domain in the cold response of TRPM8 channels identified by ortholog functional comparison

In mammals, the main molecular entity involved in innocuous cold transduction is TRPM8. This polymodal ion channel is activated by cold, cooling compounds such as menthol and voltage. Despite its relevance, the molecular determinants involved in its activation by cold remain elusive. In this study we explored the use of TRPM8 orthologs with different cold responses as a strategy to identify new molecular determinants related with their thermosensitivity. We focused on mouse TRPM8 (mTRPM8) and chicken TRPM8 (cTRPM8), which present complementary thermosensitive and chemosensitive phenotypes. Although mTRPM8 displays larger responses to cold than cTRPM8 does, the avian ortholog shows a higher sensitivity to menthol compared with the mouse channel, in both HEK293 cells and primary somatosensory neurons. We took advantage of these differences to build multiple functional chimeras between these orthologs, to identify the regions that account for these discrepancies. Using a combination of calcium imaging and patch clamping, we identified a region encompassing positions 526–556 in the N terminus, whose replacement by the cTRPM8 homolog sequence potentiated its response to agonists. More importantly, we found that the characteristic cold response of these orthologs is due to nonconserved residues located within the pore loop, suggesting that TRPM8 has evolved by increasing the magnitude of its cold response through changes in this region. Our results reveal that these structural domains are critically involved in cold sensitivity and functional modulation of TRPM8, and support the idea that the pore domain is a key molecular determinant in temperature responses of this thermo–transient receptor potential (TRP) channel.
II ZWICKY 23 AND FAMILY: A GROUP IN INTERACTION

II Zw 23 (UGC 3179) is a luminous (MB ∼ −21) nearby compact narrow emission line starburst galaxy with blue optical colors and strong emission lines. We present a photometric and morphological study of II Zw 23 and its interacting companion, KPG103a, using data obtained with the WIYN 3.5 m telescope in combination with a WFPC2 image from the Hubble Space Telescope archives. II Zw 23 has a highly disturbed outer structure with long trails of debris that may be contributing material toward the production of tidal dwarfs. Its central regions appear disky, a structure that is consistent with the overall rotation pattern observed in the Hα velocity field measured from Densepak observations obtained with WIYN. We find additional evidence for interaction in this system, including the discovery of a new tidal loop extending from an associated dwarf galaxy, which appears to be in the process of disrupting along its orbit. We also present Hα equivalent widths and discuss the relative star formation rates across this interacting system.
Bayesian inference of selection in the Wright-Fisher diffusion model

Abstract The increasing availability of population-level allele frequency data across one or more related populations necessitates the development of methods that can efficiently estimate population genetics parameters, such as the strength of selection acting on the population(s), from such data. Existing methods for this problem in the setting of the Wright-Fisher diffusion model are primarily likelihood-based, and rely on numerical approximation for likelihood computation and on bootstrapping for assessment of variability in the resulting estimates, requiring extensive computation. Recent work has provided a method for obtaining exact samples from general Wright-Fisher diffusion processes, enabling the development of methods for Bayesian estimation in this setting. We develop and implement a Bayesian method for estimating the strength of selection based on the Wright-Fisher diffusion for data sampled at a single time point. The method utilizes the latest algorithms for exact sampling to devise a Markov chain Monte Carlo procedure to draw samples from the joint posterior distribution of the selection coefficient and the allele frequencies. We demonstrate that when assumptions about the initial allele frequencies are accurate the method performs well for both simulated data and for an empirical data set on hypoxia in flies, where we find evidence for strong positive selection in a region of chromosome 2L previously identified. We discuss possible extensions of our method to the more general settings commonly encountered in practice, highlighting the advantages of Bayesian approaches to inference in this setting.