Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysing the Zenith Tropospheric Delay Estimates in On-line Precise Point Positioning (PPP) Services and PPP Software Packages

As Global Navigation Satellite System (GNSS) signals travel through the troposphere, a tropospheric delay occurs due to a change in the refractive index of the medium. The Precise Point Positioning (PPP) technique can achieve centimeter/millimeter positioning accuracy with only one GNSS receiver. The Zenith Tropospheric Delay (ZTD) is estimated alongside with the position unknowns in PPP. Estimated ZTD can be very useful for meteorological applications, an example is the estimation of water vapor content in the atmosphere from the estimated ZTD. PPP is implemented with different algorithms and models in online services and software packages. In this study, a performance assessment with analysis of ZTD estimates from three PPP online services and three software packages is presented. The main contribution of this paper is to show the accuracy of ZTD estimation achievable in PPP. The analysis also provides the GNSS users and researchers the insight of the processing algorithm dependence and impact on PPP ZTD estimation. Observation data of eight whole days from a total of nine International GNSS Service (IGS) tracking stations spread in the northern hemisphere, the equatorial region and the southern hemisphere is used in this analysis. The PPP ZTD estimates are compared with the ZTD obtained from the IGS tropospheric product of the same days. The estimates of two of the three online PPP services show good agreement (<1 cm) with the IGS ZTD values at the northern and southern hemisphere stations. The results also show that the online PPP services perform better than the selected PPP software packages at all stations.
The Technology of the Prediction of Shrinkage and Porosity during Low Pressure Casting Process

In this paper, the influence of the pressure on the critical solid fraction was considered; the critical solid fraction method under the pressure condition was proposed to predict porosity. On the other hand, based on the darcy law, a new shrinkage prediction method related to pressure, temperature gradient and cooling rate was put out. The criterion had been successfully applied in the low-pressure casting module of castsoft, which had been developed by the casting centre of North China Institute of Technology.
Which technique of cusp repair is durable in reimplantation procedure?†

OBJECTIVES We aimed to ascertain the durability of cusp repair techniques used in reimplantation procedures. METHODS Between 2000 and 2015, 249 patients (mean age, 49 ± 17 years) with aortic insufficiency underwent the reimplantation procedure. The pathology was acute aortic dissection in 24 and non-dissection in 225 patients. Preoperative aortic regurgitation (AR) was absent in 9, 1+ in 19, 2+ in 20, 3+ in 71 and 4+ in 120 patients. The mean aortic root and ascending aortic diameters were 47 ± 9 mm and 38 ± 7 mm, respectively. The following techniques of cusp repair were used: none (83), central plication (130), free margin reinforcement (57) and patch repair (19). Annual echocardiography was performed. Freedom from moderate aortic insufficiency and aortic valve reoperation were calculated by the Kaplan-Meier method. Factors influencing the freedom from moderate or severe AR were calculated by proportional hazard analysis. RESULTS Mean follow-up period was 56 ± 44 months. Freedom from moderate or severe AR was 82%±3% and 77% ± 4% at 5 and 8 years, respectively, whereas freedom from aortic valve reoperation was 93%±8% and 87% ± 3% at 5 and 8 years, respectively. Recurrent AR and infection were causes of reoperation in 13 and 3 patients, respectively. Preoperative cusp prolapse, technique of free margin reinforcement used and patch repair were significant factors for recurrent AR by proportional hazard analysis. Central plication was not a significant factor for recurrent AR. CONCLUSIONS Preoperative cusp prolapse was a risk factor, whereas central plication was not a risk factor for recurrent AR. Free margin reinforcement had a positive effect, whereas patch repair had a negative effect on aortic valve durability.
Longitudinal monitoring of mesoscopic cortical activity in a mouse model of microinfarcts reveals dissociations with behavioral and motor function

Small vessel disease is characterized by sporadic obstruction of small vessels leading to neuronal cell death. These microinfarcts often escape detection by conventional magnetic resonance imaging and are identified only upon postmortem examination. Our work explores a brain-wide microinfarct model in awake head-fixed mice, where occlusions of small penetrating arterioles are reproduced by endovascular injection of fluorescent microspheres. Mesoscopic functional connectivity was mapped longitudinally in awake GCaMP6 mice using genetically encoded calcium indicators for transcranial wide-field calcium imaging. Microsphere occlusions were quantified and changes in cerebral blood flow were measured with laser speckle imaging. The neurodeficit score in microinfarct mice was significantly higher than in sham, indicating impairment in motor function. The novel object recognition test showed a reduction in the discrimination index in microinfarct mice compared to sham. Graph-theoretic analysis of functional connectivity did not reveal significant differences in functional connectivity between sham and microinfarct mice. While behavioral tasks revealed impairments following microinfarct induction, the absence of measurable functional alterations in cortical activity has a less straightforward interpretation. The behavioral alterations produced by this model are consistent with alterations observed in human patients suffering from microinfarcts and support the validity of microsphere injection as a microinfarct model.
Multidimensional Profiling of Task Stress States for Human Factors

Objective: This article advocates multidimensional assessment of task stress in human factors and reviews the use of the Dundee Stress State Questionnaire (DSSQ) for evaluation of systems and operators. Background: Contemporary stress research has progressed from an exclusive focus on environmental stressors to transactional perspectives on the stress process. Performance impacts of stress reflect the operator’s dynamic attempts to understand and cope with task demands. Multidimensional stress assessments are necessary to gauge the different forms of system-operator interaction. Method: This review discusses the theoretical and practical use of the DSSQ in evaluating multidimensional patterns of stress response. It presents psychometric evidence for the multidimensional perspective and illustrative profiles of subjective state response to task stressors and environments. Evidence is also presented on stress state correlations with related variables, including personality, stress process measures, psychophysiological response, and objective task performance. Results: Evidence supports the validity of the DSSQ as a task stress measure. Studies of various simulated environments show that different tasks elicit different profiles of stress state response. Operator characteristics such as resilience predict individual differences in state response to stressors. Structural equation modeling may be used to understand performance impacts of stress states. Conclusion: Multidimensional assessment affords insight into the stress process in a variety of human factors contexts. Integrating subjective and psychophysiological assessment is a priority for future research. Application: Stress state measurement contributes to evaluating system design, countermeasures to stress and fatigue, and performance vulnerabilities. It may also support personnel selection and diagnostic monitoring of operators.
An open-label, multicenter, phase I trial of a cremophor-free, polymeric micelle formulation of paclitaxel combined with carboplatin as a first-line treatment for advanced ovarian cancer: a Korean Gynecologic Oncology Group study (KGOG-3016)

Objective This phase I study aimed to determine the maximum tolerated dose (MTD) of Genexol-PM, when combined with carboplatin, as a first-line treatment in patients with advanced ovarian cancer. Methods This open-label, multicenter, phase I, dose-escalation study included 18 patients (median age: 59.0 years, range: 40–75 years) diagnosed with advanced epithelial ovarian cancer. All patients had measurable residual disease after debulking surgery. Patients were assigned to groups (n=6 each group) that received different doses of Genexol-PM (220, 260, and 300 mg/m2, once every 3 weeks) and 5 area under the curve (AUC) carboplatin. Safety and efficacy were analyzed for each dose group. Results In this intention-to-treat population, 3 out of 18 patients dropped out of the study: 1 due to dose-limiting toxicity (DLT), 1 due to hypersensitivity, and 1 was lost during follow-up. DLTs were not reported at 220 mg/m2 or 260 mg/m2, but at 300 mg/m2, 1 patient experienced DLT (grade 3 general pain). The MTD of Genexol-PM was not determined, but a dose of 300 mg/m2 or less could be recommended for the phase II study. Most patients (73.9%) with adverse events recovered without sequelae, and no death occurred that was related to the disease or treatment. The best overall response rate was 94.1%. Conclusion Genexol-PM combined with carboplatin was well tolerated as a first-line treatment, and good responses were observed in patients with advanced ovarian cancer. Based on these results, we recommended a dose of 300 mg/m2 or less for a phase II study.
Mechanism Learning with Mechanism Induced Data

Machine learning and game theory are two important directions of AI. The former usually assumes data is independent of the models to be learned; the latter usually assumes agents are fully rational. In many modern Internet applications, like sponsored search and crowdsourcing, the two basic assumptions are violated and new challenges are posed to both machine learning and game theory. To better model and study such applications, we need to go beyond conventional machine learning and game theory (mechanism design), and adopt a new approach called mechanism learning with mechanism induced data. Specifically, we propose to learn a behavior model from data to describe how real agents play the complicated game, instead of making the full-rationality assumption. Then we propose to optimize the mechanism by using the learned behavior models to predict the future behaviors of agents in response to the new mechanism. Because the above process couples mechanism learning and behavior learning in a loop, new algorithms and theories are needed to perform the task and guarantee the asymptotical performance. As shown in this paper, there are many interesting research topics along this direction, many of which are still open problems, waiting for researchers in our community to deeply investigate.
Long-Term Mortality of Patients with an Alcohol-Related Wernicke–Korsakoff Syndrome

Aims To characterize a series of contemporary patients with alcohol-related Wernicke's encephalopathy (WE) or Korsakoff's syndrome (KS) and to update the current prognosis of disease. Methods Retrospective and prospective study of patients diagnosed with an alcohol-related WE or KS between 2002 and 2011 in a tertiary hospital. Socio-demographic, alcohol use characteristics, signs and symptoms, co-morbidity and blood parameters were obtained at admission. Patients were followed up until 2013 and causes of death were ascertained through the review of charts. Results Sixty-one patients were included (51 with WE and 10 with KS). Among patients with WE, 78% were men and age at diagnosis was 57 years (interquartile range (IQR): 49-66). Twenty-three percent fulfilled the classic WE triad. Regarding Caine's criteria for WE, 70.6% presented with at least two out of four signs or symptoms. Median follow-up of patients with WE syndrome was 5.3 years (IQR: 2.6-8.8), the cumulated mortality was 45% and death rate of 7.4 × 100 person-years (95% confidence interval (CI): 4.8-10.9). Overall, 50% of patients would be expected to die within 8 years of WE episode and main causes of death included serious bacterial infections (44.5%) and cancer (33.3%). Conclusions Survival of patients with an alcohol-related Wernicke-Korsakoff syndrome is poor; pursuing treatment of alcohol use disorder and early diagnosis of thiamine deficiency is a priority for improving clinical outcomes.
Measured Adiposity in Relation to Head and Neck Cancer Risk in the European Prospective Investigation into Cancer and Nutrition

Background: Emerging evidence from cohort studies indicates that adiposity is associated with greater incidence of head and neck cancer. However, most studies have used self-reported anthropometry which is prone to error. Methods: Among 363,094 participants in the European Prospective Investigation into Cancer and Nutrition study (EPIC) with measured anthropometry, there were 837 incident cases of head and neck cancer. Head and neck cancer risk was examined in relation to body mass index (BMI) [lean: <22.5 kg/m2, normal weight (reference): 22.5–24.9 kg/m2, overweight 25–29.9 kg/m2, obese: ≥30 kg/m2], waist circumference (WC), hip circumference (HC), and waist-to-hip ratio (WHR) using Cox proportional hazards models. Results: Among men, a BMI < 22.5 kg/m2 was associated with higher head and neck cancer risk [HR 1.62; 95% confidence interval (CI), 1.23–2.12)]; BMI was not associated with head and neck cancer among women. WC and WHR were associated with greater risk of head and neck cancer among women (WC per 5 cm: HR, 1.08; 95% CI, 1.02–1.15; WHR per 0.1 unit: HR, 1.64; 95% CI, 1.38–1.93). After stratification by smoking status, the association for WHR was present only among smokers (Pinteraction = 0.004). Among men, WC and WHR were associated with head and neck cancer only upon additional adjustment for BMI (WC per 5 cm: HR 1.16; 95% CI, 1.07–1.26; WHR per 0.1 unit: HR, 1.42; 95% CI, 1.21–1.65). Conclusions: Central adiposity, particularly among women, may have a stronger association with head and neck cancer risk than previously estimated. Impact: Strategies to reduce obesity may beneficially impact head and neck cancer incidence. Cancer Epidemiol Biomarkers Prev; 26(6); 895–904. ©2017 AACR.
Epitope-specific monoclonal antibodies to FSHβ increase bone mass

Significance We have addressed the question whether osteoporosis and obesity, which often occur concurrently in postmenopausal women, can be targeted by a single agent. We have shown previously that the reproductive hormone FSH, the levels of which rise after menopause, regulates both body fat and bone mass. We now show that blocking FSH action using two purposefully designed epitope-specific antibodies protects against bone loss in mice. This positions both FSH antibodies as lead molecules for clinical development toward future use in people. Pituitary hormones have long been thought solely to regulate single targets. Challenging this paradigm, we discovered that both anterior and posterior pituitary hormones, including FSH, had other functions in physiology. We have shown that FSH regulates skeletal integrity, and, more recently, find that FSH inhibition reduces body fat and induces thermogenic adipose tissue. A polyclonal antibody raised against a short, receptor-binding epitope of FSHβ was found not only to rescue bone loss postovariectomy, but also to display marked antiobesity and probeiging actions. Questioning whether a single agent could be used to treat two medical conditions of public health importance––osteoporosis and obesity––we developed two further monoclonal antibodies, Hf2 and Mf4, against computationally defined receptor-binding epitopes of FSHβ. Hf2 has already been shown to reduce body weight and fat mass and cause beiging in mice on a high-fat diet. Here, we show that Hf2, which binds mouse Fsh in immunoprecipitation assays, also increases cortical thickness and trabecular bone volume, and microstructural parameters, in sham-operated and ovariectomized mice, noted on microcomputed tomography. This effect was largely recapitulated with Mf4, which inhibited bone resorption by osteoclasts and stimulated new bone formation by osteoblasts. These effects were exerted in the absence of alterations in serum estrogen in wild-type mice. We also reconfirm the existence of Fshrs in bone by documenting the specific binding of fluorescently labeled FSH, FSH-CH, in vivo. Our study provides the framework for the future development of an FSH-based therapeutic that could potentially target both bone and fat.
Hemostatic Changes Associated With Increased Mortality Rates in Hospitalized Patients With HIV-Associated Tuberculosis: A Prospective Cohort Study

Background Mortality rates remain high for human immunodeficiency virus (HIV)–associated tuberculosis, and our knowledge of contributing mechanisms is limited. We aimed to determine whether hemostatic changes in HIV-tuberculosis were associated with mortality or decreased survival time and the contribution of mycobacteremia to these effects. Methods We conducted a prospective study in Khayelitsha, South Africa, in hospitalized HIV-infected patients with CD4 cell counts <350/µL and microbiologically proved tuberculosis. HIV-infected outpatients without tuberculosis served as controls. Plasma biomarkers reflecting activation of procoagulation and anticoagulation, fibrinolysis, endothelial cell activation, matricellular protein release, and tissue damage were measured at admission. Cox proportional hazard models were used to assess variables associated with 12-week mortality rates. Results Of 59 patients with HIV-tuberculosis, 16 (27%) died after a median of 12 days (interquartile range, 0–24 days); 29 (64%) of the 45 not receiving anticoagulants fulfilled criteria for disseminated intravascular coagulation. Decreased survival time was associated with higher concentrations of markers of fibrinolysis, endothelial activation, matricellular protein release, and tissue damage and with decreased concentrations for markers of anticoagulation. In patients who died, coagulation factors involved in the common pathway were depleted (factor II, V, X), which corresponded to increased plasma clotting times. Mycobacteremia modestly influenced hemostatic changes without affecting mortality. Conclusions Patients with severe HIV-tuberculosis display a hypercoagulable state and activation of the endothelium, which is associated with mortality.
Development and validation of a prediction model for insulin-associated hypoglycemia in non-critically ill hospitalized adults

Objective To develop and validate a multivariable prediction model for insulin-associated hypoglycemia in non-critically ill hospitalized adults. Research design and methods We collected pharmacologic, demographic, laboratory, and diagnostic data from 128 657 inpatient days in which at least 1 unit of subcutaneous insulin was administered in the absence of intravenous insulin, total parenteral nutrition, or insulin pump use (index days). These data were used to develop multivariable prediction models for biochemical and clinically significant hypoglycemia (blood glucose (BG) of ≤70 mg/dL and <54 mg/dL, respectively) occurring within 24 hours of the index day. Split-sample internal validation was performed, with 70% and 30% of index days used for model development and validation, respectively. Results Using predictors of age, weight, admitting service, insulin doses, mean BG, nadir BG, BG coefficient of variation (CVBG), diet status, type 1 diabetes, type 2 diabetes, acute kidney injury, chronic kidney disease (CKD), liver disease, and digestive disease, our model achieved a c-statistic of 0.77 (95% CI 0.75 to 0.78), positive likelihood ratio (+LR) of 3.5 (95% CI 3.4 to 3.6) and negative likelihood ratio (−LR) of 0.32 (95% CI 0.30 to 0.35) for prediction of biochemical hypoglycemia. Using predictors of sex, weight, insulin doses, mean BG, nadir BG, CVBG, diet status, type 1 diabetes, type 2 diabetes, CKD stage, and steroid use, our model achieved a c-statistic of 0.80 (95% CI 0.78 to 0.82), +LR of 3.8 (95% CI 3.7 to 4.0) and −LR of 0.2 (95% CI 0.2 to 0.3) for prediction of clinically significant hypoglycemia. Conclusions Hospitalized patients at risk of insulin-associated hypoglycemia can be identified using validated prediction models, which may support the development of real-time preventive interventions.
Sofosbuvir and Velpatasvir for the Treatment of Hepatitis C Virus in Patients Coinfected With Human Immunodeficiency Virus Type 1: An Open-Label, Phase 3 Study

Background A safe, simple, effective, and pan-genotypic regimen to treat hepatitis C virus (HCV) infection in patients coinfected with human immunodeficiency virus type 1 (HIV-1) remains a medical need. We assessed the efficacy and safety of the NS5B polymerase inhibitor sofosbuvir and the NS5A inhibitor velpatasvir for HCV in patients coinfected with HIV-1. Methods This phase 3, open-label, single-arm study at 17 sites in the United States enrolled patients with HCV of any genotype and HIV-1 coinfection, including those with compensated cirrhosis. All patients received sofosbuvir-velpatasvir once daily for 12 weeks. The primary endpoint was sustained virologic response 12 weeks after treatment (SVR12). Efficacy and safety were assessed in all patients receiving at least 1 dose of treatment. Results Of 106 patients, 91 (86%) were men, 48 (45%) were black, and 19 (18%) had cirrhosis. SVR12 was achieved by 101 of 106 (95% [95% confidence interval {CI}, 89%-99%]) patients: 74 of 78 (95% [95% CI, 87%-99%]) with genotype 1; all 11 (100% [95% CI, 72%-100%]) with genotype 2; 11 of 12 (92% [95% CI, 62%-100%]) with genotype 3; and all 5 (100% [95% CI, 48%-100%]) with genotype 4. All 19 patients with cirrhosis had SVR12. Two patients relapsed, 2 were lost to follow-up, and 1 withdrew consent. Two discontinued treatment due to adverse events and 2 had serious adverse events. The most common adverse events were fatigue (25%), headache (13%), upper respiratory tract infection (8%), and arthralgia (8%). Conclusions Sofosbuvir-velpatasvir for 12 weeks was safe and provided high rates of SVR12 in patients coinfected with HCV and HIV-1. Clinical Trials Registration NCT02480712.
Reef Endemism, Host Specificity and Temporal Stability in Populations of Symbiotic Dinoflagellates from Two Ecologically Dominant Caribbean Corals

Background The dinoflagellate genus Symbiodinium forms symbioses with numerous protistan and invertebrate metazoan hosts. However, few data on symbiont genetic structure are available, hindering predictions of how these populations and their host associations will fair in the face of global climate change. Methodology/Principal Findings Here, Symbiodinium population structure from two of the Caribbean's ecologically dominant scleractinian corals, Montastraea faveolata and M. annularis, was examined. Tagged colonies on Florida Keys and Bahamian (i.e., Exuma Cays) reefs were sampled from 2003–2005 and their Symbiodinium diversity assessed via internal transcribed spacer 2 (ITS2) rDNA and three Symbiodinium Clade B-specific microsatellite loci. Generally, the majority of host individuals at a site harbored an identical Symbiodinium ITS2 “type” B1 microsatellite genotype. Notably, symbiont genotypes were largely reef endemic, suggesting a near absence of dispersal between populations. Relative to the Bahamas, sympatric M. faveolata and M. annularis in the Florida Keys harbored unique Symbiodinium populations, implying regional host specificity in these relationships. Furthermore, within-colony Symbiodinium population structure remained stable through time and environmental perturbation, including a prolonged bleaching event in 2005. Conclusions/Significance Taken together, the population-level endemism, specificity and stability exhibited by Symbiodinium raises concerns about the long-term adaptive capacity and persistence of these symbioses in an uncertain future of climate change.