Miracle-dz/UniFAR-FTUs huggingface dataset:
Defective Association of the Platelet Glycoprotein Ib–IX Complex with the Glycosphingolipid-Enriched Membrane Domain Inhibits Murine Thrombus and Atheroma Formation

Localization of the platelet glycoprotein Ib–IX complex to the membrane lipid domain is essential for platelet adhesion to von Willebrand factor and subsequent platelet activation in vitro. Yet, the in vivo importance of this localization has never been addressed. We recently found that the disulfide linkage between Ibα and Ibβ is critical for the association of Ibα with the glycosphingolipid-enriched membrane domain; in this study, we established a transgenic mouse model expressing this mutant human Ibα that is also devoid of endogenous Ibα (HαSSMα−/−). Characterization of this model demonstrated a similar dissociation of Ibα from murine platelet glycosphingolipid-enriched membrane to that expressed in Chinese hamster ovary cells, which correlates well with the impaired adhesion of the transgenic platelets to von Willebrand factor ex vivo and in vivo. Furthermore, we bred our transgenic mice into an atherosclerosis-prone background (HαSSMα−/−ApoE−/− and HαWTMα−/−ApoE−/−). We observed that atheroma formation was significantly inhibited in mutant mice where fewer platelet-bound CD11c+ leukocytes were circulating (CD45+/CD11c+/CD41+) and residing in atherosclerotic lesions (CD45+/CD11c+), suggesting that platelet-mediated adhesion and infiltration of CD11c+ leukocytes may be one of the mechanisms. To our knowledge, these observations provide the first in vivo evidence showing that the membrane GEM is physiologically and pathophysiologically critical in the function of the glycoprotein Ib–IX complex.
A new fuzzy intelligent obstacle avoidance control strategy for wheeled mobile robot

Obstacle avoidance is the basic requirement for any autonomous mobile robot. Fuzzy intelligent obstacle avoidance strategy is proposed in this paper for the wheeled mobile robot tracking a target in the environment with obstacles, which is composed of two fuzzy logic controllers and an intelligent coordinator. Run-to-goal fuzzy controller makes the robot approach the target when there are no obstacles in the environment; Fuzzy obstacle controller will generate obstacle avoidance commands according to target orientation information and obstacle information when the robot detecting obstacles via its onboard sensors. Intelligent coordinator is designed to coordinate the two actions mentioned above to generate robot's ultimate control command. Ultimately, the robot tracks the target and realizes obstacle avoidance meanwhile. Simulations and experiments on robot platform validate the effectiveness proposed by the paper.
Growth Behaviors, Thermostable Direct Hemolysin Secretion and Fatty Acid Profiles of Acid-adapted and Non-adapted Vibrio parahaemolyticus

Three strains of Vibrio parahaemolyticus (690, BCRC 13023 and BCRC 13025) implicated in food poisoning outbreaks in Taiwan were subjected to acid adaptation at pH 5.5 for 90 min. The growth behaviors of acid-adapted and non-adapted V. parahaemolyticus in the media supplemented with various nitrogen and carbon sources were investigated. The effects of acid adaptation on the thermostable direct hemolysin (TDH) secretion and fatty acid profiles of V. parahaemolyticus were also examined. Results showed that acid-adapted and non-adapted V. parahaemolyticus 690, BCRC 13023 and BCRC 13025 grew similarly in TSB-3% NaCl and basal media supplemented with various carbon and nitrogen sources during incubation period. Higher TDH secretion was noted with V. parahaemolyticus 690 among the three strains. However, acid-adapted strains produced less amounts of TDH than non-adapted strains when they were grown in TSB-3% NaCl. Additionally, acid adaptation increased the ratio of SFA/USFA in cells of V. parahaemolyticus strains. Keywords—Vibrio parahaemolyticus, acid adaptation, thermostable direct hemolysin, fatty acid profile.
A Submersible Printed Sensor Based on a Monopole-Coupled Split Ring Resonator for Permittivity Characterization

This work presents a non-invasive, reusable and submersible permittivity sensor that uses a microwave technique for the dielectric characterization of liquid materials. The proposed device consists of a compact split ring resonator excited by two integrated monopole antennas. The sensing principle is based on the notch introduced by the resonators in the transmission coefficient, which is affected due to the introduction of the sensor in a new liquid material. Then, a frequency shift of the notch and the Q-factor of the proposed sensor are related with the changes in the surrounding medium. By means of a particular experimental procedure, commercial liquids are employed to obtain the calibration curve. Thus, a mathematical equation is obtained to extract the dielectric permittivity of liquid materials with unknown dielectric properties. A good match between simulated and experimental results is obtained, as well as a high Q-factor, compact size, good sensitivity and high repeatability for use in sensing applications. Sensors like the one here presented could lead to promising solutions for characterizing materials, particularly in determining material properties and quality in the food industry, bio-sensing and other applications.
Different Associations between DC-SIGN Promoter-336G/A (rs4804803) Polymorphism with Severe Dengue in Asians and South-Central Americans: a Meta-Analysis

Objective: This study was conducted to identify the association between rs4804803 polymorphism in DC-SIGN with the susceptibility of severe dengue. Methods: A comprehensive search was conducted to identify all eligible papers in PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), and Google Scholar. Odds ratios (ORs) and corresponding 95% confidence intervals (95% CIs) were used to assess the association. Subgroup analyses were performed by ethnicity. Sensitivity analyses were performed through employing different statistical models (fixed versus random effect model). Results: A total of nine papers and 12 studies, with 1520 severe dengue and 1496 clinical dengue infection were included. The overall meta-analysis revealed significant associations between rs4804803 and severe dengue under the recession (GG versus GA/AA: OR = 0.44, 95%CI, 0.23–0.82) and a codominant model (GG versus AA: OR = 0.43, 95%CI, 0.23–0.81), but sensitivity analysis indicated that the significant pooled ORs were not robust. The subgroup analysis suggested that the carrier of G in rs4804803 was a risk factor for severe dengue under dominant (GG/GA versus AA: OR = 1.86,95%CI, 1.01–3.45), superdominant (GA versus GG/AA: OR = 1.81,95%CI, 1.02–3.21) and a codominant (GA versus AA: OR=1.82,95%CI, 1.02–3.26) models in Asians, while it was a protective factor for severe dengue in South-central Americans under recessive (GG versus GA/AA: OR = 0.27,95%CI, 0.10–0.70) and codominant (GG versus AA: OR=0.24,95%CI, 0.09–0.64) models. The results from subgroup analysis were robust. Conclusions: Dendritic cell-specific intercellular adhesion molecule-3-grabbing non-integrin (DC-SIGN) promoter-336G/A (rs4804803) polymorphism is association with severe dengue, and it acts in different directions for Asians and South-central Americans.
Renal Failure Impact on the Outcomes of ST-Segment Elevation Myocardial Infarction Patients Due to a Left Main Coronary Culprit Lesion Treated Using a Primary Percutaneous Coronary Intervention

Background: Patients with ST-segment elevation myocardial infarction (STEMI) and primary percutaneous coronary intervention (PPCI) on a left main culprit lesion have very high mortality rates. The interaction of chronic kidney disease (CKD) with such a catastrophic acute event on the background of their highly complex atherosclerotic lesions is not well established. Therefore, we sought to evaluate in these patients the influence of the estimated glomerular filtration rate (eGFR) on short- and long-term mortality. Methods: We retrospectively analyzed renal function in 81 patients with STEMI and PPCI on a left main culprit lesion from two tertiary centers. Results: Patients were divided in two groups according to an eGFR cut-off of 60 mL/min/1.73 m2: 40 patients with CKD and 41 without CKD. Patients with renal failure were older, had more diabetes, and had experienced more frequent myocardial infarction MIs. CKD patients had a higher baseline-SYNTAX score (p = 0.015), higher residual-SYNTAX score (p < 0.001), and lower SYNTAX revascularization index-SRI (p = 0.003). Mortality at 30-day, 1-year, and 3-year follow-ups were not significantly different between the two groups. However, when analyzed as a continuous variable, eGFR emerged as a predictor of 1-year mortality, both in univariate analysis (OR = 0.97, 95% CI: 0.95–0.99, p = 0.005) and in multivariate analysis, after adjusting for cardiogenic shock and Thrombolysis in Myocardial Infarction TIMI 0/1 flow (OR = 0.975, 95% CI: 0.95–0.99, p = 0.021). Conclusions: In STEMI with PPCI on a left main culprit lesion, renal failure was associated with more complex coronary lesions and less complete revascularization, and turned out to be an independent predictor of mortality at 1-year follow-up.
Primers for low-copy nuclear genes in the Hawaiian endemic Clermontia (Campanulaceae) and cross-amplification in Lobelioideae

Premise of the study: Primers were developed to amplify 12 intron-less, low-copy nuclear genes in the Hawaiian genus Clermontia (Campanulaceae), a suspected tetraploid. Methods and Results: Data from a pooled 454 titanium run of the partial transcriptomes of seven Clermontia species were used to identify the loci of interest. Most loci were amplified and sequenced directly with success in a representative selection of lobeliads even though several of these loci turned out to be duplicated. Levels of variation were comparable to those observed in commonly used plastid and ribosomal markers. Conclusions: We found evidence of a genome duplication that likely predates the diversification of the Hawaiian lobeliads. Some genes nevertheless appear to be single-copy and should be useful for phylogenetic studies of Clermontia or the entire Lobelioideae subfamily.
Ancient isolation and independent evolution of the three clonal lineages of the exotic sudden oak death pathogen Phytophthora ramorum

The genus Phytophthora includes some of the most destructive plant pathogens affecting agricultural and native ecosystems and is responsible for a number of recent emerging and re‐emerging infectious diseases of plants. Sudden oak death, caused by the exotic pathogen P. ramorum, has caused extensive mortality of oaks and tanoaks in Northern California, and has brought economic losses to US and European nurseries as well due to its infection of common ornamental plants. In its known range, P. ramorum occurs as three distinct clonal lineages. We inferred the evolutionary history of P. ramorum from nuclear sequence data using coalescent‐based approaches. We found that the three lineages have been diverging for at least 11% of their history, an evolutionarily significant amount of time estimated to be on the order of 165 000 to 500 000 years. There was also strong evidence for historical recombination between the lineages, indicating that the ancestors of the P. ramorum lineages were members of a sexually reproducing population. Due to this recombination, the ages of the lineages varied within and between loci, but coalescent analyses suggested that the European lineage may be older than the North American lineages. The divergence of the three clonal lineages of P. ramorum supports a scenario in which the three lineages originated from different geographic locations that were sufficiently isolated from each other to allow independent evolution prior to introduction to North America and Europe. It is thus probable that the emergence of P. ramorum in North America and Europe was the result of three independent migration events.
A CTSC Request Management System : Design , Development and Deployment

This paper presents the design, development, and deployment of a novel request management system (RMS) for the Clinical & Translational Science Collaborative (CTSC). The RMS’s main goal is to provide a variety of domain expertise in areas such as statistical analysis, data management, and regulatory policy and procedures to clinical investigators who are unlikely to have them available. Consultation activities provided by domain experts are managed through the RMS in a role-based and structured way so that consultation areas and names of experts are visible and consultation services are easily reportable. Clinical translational science is a demanding area due to its inherent interdisciplinary nature. Our RMS is the first of its kind that streamlines the process of creating a catalog of expertise within a CTSA site and managing the requests and services provided domain experts in a scalable system with an intuitive user interface.
Glucagonoma syndrome: a review and update on treatment

Glucagonoma syndrome is defined by the presence of an alpha‐cell secreting tumour of the pancreas, elevated levels of glucagon, and a characteristic rash called necrolytic migratory erythema (NME). NME is usually a specific and often initial finding of glucagonoma syndrome, but it may occur in other settings unassociated with an alpha‐cell pancreatic tumour (pseudoglucagonoma syndrome). Glucagonoma syndrome must be distinguished from pseudoglucagonoma syndrome. Prompt recognition of NME and subsequent workup for a glucagonoma can allow for an earlier diagnosis and enhance the chances of a favourable outcome. In particular, metastases occur late, so early recognition of glucagonoma syndrome before liver metastases can be life‐saving. Surgical resection is the definitive treatment for glucagonoma syndrome, although chemotherapeutic agents, somatostatin analogues and radionuclide therapy are also employed. Herein, we offer an approach to workup after identifying NME and an update on its current treatment modalities.
Microbial Communities in Different Developmental Stages of the Oriental Fruit Fly, Bactrocera dorsalis, Are Associated with Differentially Expressed Peptidoglycan Recognition Protein-Encoding Genes

Microorganisms are ubiquitous in insects and have widespread impacts on multiple aspects of insect biology. However, the microorganisms present in insects can change dramatically in different developmental stages, and it is critical to maintain the appropriate microorganisms in specific host developmental stages. Therefore, analysis of the factors associated with the microbiota in specific development stages of the host is needed. In this study, we applied suppression subtractive hybridization (SSH) combined with transcriptome analysis to investigate whether the microbiota in development stages of the Oriental fruit fly, Bactrocera dorsalis, is associated with expression of PGRP genes. We found that two different PGRP genes were specifically expressed during development and that these genes may be associated with changes in microbial communities in different developmental stages of B. dorsalis. ABSTRACT The insect microbiota can change dramatically to enable adaptation of the host in different developmental stages and environments; however, little is known about how the host maintains its microbiota to achieve such adaptations. In this study, 16S rRNA sequencing revealed that the microorganisms in larvae and adults of the Oriental fruit fly, Bactrocera dorsalis, are primarily Gram-negative bacteria but that the major components in pupae are Gram-positive bacteria. Using suppression subtractive hybridization (SSH) and transcriptome analysis, we screened two specifically expressed genes encoding peptidoglycan recognition proteins (PGRP-LB and PGRP-SB1) and analyzed their relationship to B. dorsalis microbial communities. Knockdown of the PGRP-LB gene in larvae and adults led to increased ratios of Gram-positive bacteria; knockdown of the PGRP-SB1 gene in pupae led to increased ratios of Gram-negative bacteria. Our results suggest that maintenance of the microbiota in different developmental stages of B. dorsalis may be associated with the PGRP-LB and PGRP-SB1 genes. IMPORTANCE Microorganisms are ubiquitous in insects and have widespread impacts on multiple aspects of insect biology. However, the microorganisms present in insects can change dramatically in different developmental stages, and it is critical to maintain the appropriate microorganisms in specific host developmental stages. Therefore, analysis of the factors associated with the microbiota in specific development stages of the host is needed. In this study, we applied suppression subtractive hybridization (SSH) combined with transcriptome analysis to investigate whether the microbiota in development stages of the Oriental fruit fly, Bactrocera dorsalis, is associated with expression of PGRP genes. We found that two different PGRP genes were specifically expressed during development and that these genes may be associated with changes in microbial communities in different developmental stages of B. dorsalis.
A Robust Method for Human Pose Estimation Based on Geodesic Distance Features

In this work, we propose a real-time capable and robust method for human pose estimation based on geodesic distance features from depth images. Although a lot of work has been done in the field of the human pose estimation, it remains a challenging task - especially because of the high variability of human poses and self occlusions. The pose estimation focuses on the upper body, as it is the relevant part for a subsequent gesture and posture recognition and therefore the basis for a real human-machine-interaction. A graph-based representation of the 3D point cloud data is determined which allows for the measurement of pose-independent geodesic distances on the surface of the body. Based on these distances we determine feature points that are used for the adaptation of a kinematic skeleton model of the human upper body. The method does not need any pre-trained pose classifiers and can therefore track arbitrary poses as long as the user is not turned away from the camera.
Monocular Visual-Inertial Odometry with an Unbiased Linear System Model and Robust Feature Tracking Front-End

The research field of visual-inertial odometry has entered a mature stage in recent years. However, unneglectable problems still exist. Tradeoffs have to be made between high accuracy and low computation for users. In addition, notation confusion exists in quaternion descriptions of rotation; although not fatal, this may results in unnecessary difficulties in understanding for researchers. In this paper, we develop a visual-inertial odometry which gives consideration to both precision and computation. The proposed algorithm is a filter-based solution that utilizes the framework of the noted multi-state constraint Kalman filter. To dispel notation confusion, we deduced the error state transition equation from scratch, using the more cognitive Hamilton notation of quaternion. We further come up with a fully linear closed-form formulation that is readily implemented. As the filter-based back-end is vulnerable to feature matching outliers, a descriptor-assisted optical flow tracking front-end was developed to cope with the issue. This modification only requires negligible additional computation. In addition, an initialization procedure is implemented, which automatically selects static data to initialize the filter state. Evaluations of proposed methods were done on a public, real-world dataset, and comparisons were made with state-of-the-art solutions. The experimental results show that the proposed solution is comparable in precision and demonstrates higher computation efficiency compared to the state-of-the-art.
Basal Asynchrony and Resynchronization with Biventricular Pacing Predict Long‐Term Improvement of LV Function in Heart Failure Patients

Biventricular pacing (BiV) is emerging for patients with dilated cardiomyopathy (DCM) and asynchrony. We measured basal asynchrony and early resynchronization by radionuclide angioscintigraphy (RNA) in order to predict long‐term evolution of ventricular function after BiV. Thirty‐four patients (NYHA Class III–IV, 65.4 ± 11 years ) with large QRS (179 ± 18 ms) were implanted with BiV and studied by RNA before (D0), at day 8 (D8), and during follow‐up (20 ± 7 months) . We calculated left and right ejection fractions, the interventricular dyssynchrony (TRVLV), and the apicobasal dyssynchrony (Tab). LVEF improved from 20.2 ± 8.1% (D0) to 27.1%± 12.6% (follow‐up, P < 0.003 vs D0) and RVEF from 28.6%± 13% (D0) to 34.3 ± 11.5% (follow‐up, P < 0.03 vs D0). Inter‐ (ΔTRVLV) and intraventricular resynchronization was immediate and remained stable: TRVLV decreased from 68.3 ± 38 ms (D0) to 13.4 ± 48.5 ms (D8) and 1.8 ± 39.2 ms (follow‐up, P < 0.0001 vs D0); and Tab from 45.8 ± 64.1 ms to −18 ± 68 (D8) and −28.3 ± 53.6 ms (follow‐up, P < 0.0001 vs D0). Early inter‐ and intraventricular resynchronization (ΔTab) at D8 were related to late LVEF and RVEF improvement. Together, an LVEF > 15% and a significant interventricular dyssynchrony (TRVLV > 60 ms) at D0 have a sensitivity of 79% and a positive predictive value of 83% to predict an improvement of LVEF superior to 5% at follow‐up. In DCM patients, BiV resynchronizes ventricles early and in the long‐term, while RVEF and LVEF improve progressively. Patients with large electromechanical dyssynchrony benefit most from BiV. (PACE 2003; 26:1815–1823)
Late information pick-up is preferred in basketball jump shooting

Abstract In this study we examined the timing of optical information pick-up in basketball jump shooting using an intermittent viewing technique. We expected shooters to prefer to look at the basket as late as possible under the shooting style used. Seven experts with a high shooting style and five experts with a low shooting style took 50 jump shots while wearing liquid-crystal glasses that opened and closed at pre-set intervals. In principle, under this constraint, the participants could control when they saw the basket by actively modulating the timing of their movements. Analyses of the phasing of the movements relative to the events defined on the glasses revealed that low-style shooters preferred to see the basket just before the ball passed their line of sight, whereas high-style shooters tended to view the basket from underneath the ball after it passed their line of sight. Thus, most shooters preferred to pick up optical information as late as possible given the adopted shooting style. We conclude that, in dynamic far aiming tasks such as basketball jump shooting, late pick-up of optical information is critical for the successful guidance of movements.
Information Gap Decision Theory Based OPF With HVDC Connected Wind Farms

A method for solving the optimal power flow (OPF) problem including HVDC connected offshore wind farms is presented in this paper. Different factors have been considered in the proposed method, namely, voltage source converter (VSC-HVDC) and line-commutated converter high-voltage DC (LCC-HVDC) link constraints, doubly fed induction generators' (DFIGs) capability curve as well as the uncertainties of wind power generation. Information gap decision theory (IGDT) is utilized for handling the uncertainties associated with the volatility of wind power generation. It is computationally efficient and does not require the probability density function of wind speed. The proposed decision-making framework finds the optimal decision variables in a way that they remain robust against the considered uncertainties. To illustrate the effectiveness of the proposed approach, it is applied on the IEEE 118-bus system. The obtained results validate the applicability of the proposed IGDT-based OPF model for optimal operation of AC/DC power systems with high penetration of offshore wind farms.