Binomial Fit Research Articles

Study of negative binomial distribution in neutrino and anti-neutrino–nucleus interactions of CHORUS experiment

In this study, the charged particle multiplicity distribution produced in anti-neutrino and neutrino-nuclear emulsion interactions is studied in terms of negative binomial distribution in varying invariant mass of the hadronic system intervals for the first time. Many articles have shown that the negative binomial distribution is very useful in describing and interpreting the multiplicity of experimental data in the literature. For this reason, a similar study is conducted on neutrino and anti-neutrino interactions to better understand the particle production mechanism. Experimental data for the analysis are obtained from the CHORUS Collaboration paper on the production of charged particles in anti-neutrino and neutrino-nuclear emulsion interactions at high energy. For multiplicity distributions of both interactions, the invariant mass of the hadronic system intervals is defined as given in the CHORUS Collaboration article. Then the negative binomial fit is applied to the experimental data for each energy range. In terms of chi-square values for both interactions, a good agreement has been observed between the experimental data and their fit in each energy range. The results of applied fits are shown through figures and tables, presenting the obtained chi-square values, free parameters, and their energy dependence.

Thermodynamic performance of SiC-enhanced MicroPCM backfill based on response surface methodology

The functional backfilling in mining achieves synergistic co-mining of deep-earth deposits-geothermal, and the development of functional filling materials with suitable phase change parameters and excellent physicochemical properties is imminent. This study aims to investigate the optimal composition of phase change energy storage backfill material based on MicroPCM. To address the issues of reduced compressive strength and specific heat capacity of MicroPCM-backfill, silicon carbide (SiC) is introduced to prepare MPSC-backfill. Box-Behnken Design (BBD) is proposed to design and analyze according to four factors (ash-sand ratio, slurry concentration, MicroPCM, SiC), three levels (compressive strength, thermal conductivity, specific heat capacity) and three center points. Based on the Response Surface Methodology, the multivariate quadratic polynomial model was used to perform multiple linear regression and binomial fitting analysis to explore the optimal ratio. Combined with SEM-EDS (Scanning Electron Microscope with Energy-Dispersive X-ray Spectroscopy) analysis, the following conclusions were drawn. SiC exhibits an overall enhancement of the compressive strength of the backfill, and the thermal conductivity tends to increase almost linearly. The specific heat capacity grows in a small amount of silicon carbide doping, but excessive amounts lead to a decrease, with an overall limited impact. The addition of SiC does not affect the phase change ability of MicroPCM. And within a certain range of added quantities, it optimizes specific heat capacity, thermal conductivity, and compressive strength. Experimental validation based on the obtained optimal composition shows errors within a 5% margin, indicating the response model's good accuracy and predictability. High and low-temperature cyclic tests confirm the long-term thermal energy storage stability of MPSC-backfill during phase change cycles.

不同喷雾参数对流体动力式超声雾化喷嘴的沉积性能研究

In order to study the spraying effect of hydrodynamic ultrasonic atomizing nozzle under different spraying methods, and to investigate the practical application effect of hydrodynamic ultrasonic atomizing nozzle in agriculture, the atomization angle test and droplet size test under different spraying conditions were designed. Different spraying conditions atomization angle test and droplet size test were designed, the test results data were recorded, the pattern of change of the data was observed, and the data were fit to give the data changes in line with the functional equation; different spraying conditions and different corn leaf position droplet deposition coverage test were designed and the value of the deposition coverage of each position was recorded. The results showed that: the maximum value of the variation of atomization angle under different spraying conditions was 75.49°, and the minimum value was 14.49°; the maximum value of the variation of droplet size was 18.23 μm, and the minimum value was 4.78 μm; and the droplet deposition coverage was the highest in the mid-leaf position of the upper and lower leaves of the maize when the input air pressure was 0.3 MPa, which was 86.98% and 46.97%, respectively. Fitting the atomization angle data and droplet size data, the R2 of the binomial fit was 0.85 and 0.94, respectively, and the Adjusted R2 was 0.87 and 0.88, respectively, which made the fitting function meaningful and the fitting accuracy high. The hydrodynamic ultrasonic atomizing nozzle has a great advantage in generating small droplet sizes and performs well in deposition effect, and the experimental results can provide a reference for the research of hydrodynamic nozzles in the application technology.

Multi-Model Prediction of West Nile Virus Neuroinvasive Disease With Machine Learning for Identification of Important Regional Climatic Drivers.

West Nile virus (WNV) is the leading cause of mosquito-borne illness in the continental United States (CONUS). Spatial heterogeneity in historical incidence, environmental factors, and complex ecology make prediction of spatiotemporal variation in WNV transmission challenging. Machine learning provides promising tools for identification of important variables in such situations. To predict annual WNV neuroinvasive disease (WNND) cases in CONUS (2015-2021), we fitted 10 probabilistic models with variation in complexity from naïve to machine learning algorithm and an ensemble. We made predictions in each of nine climate regions on a hexagonal grid and evaluated each model's predictive accuracy. Using the machine learning models (random forest and neural network), we identified the relative importance and variation in ranking of predictors (historical WNND cases, climate anomalies, human demographics, and land use) across regions. We found that historical WNND cases and population density were among the most important factors while anomalies in temperature and precipitation often had relatively low importance. While the relative performance of each model varied across climatic regions, the magnitude of difference between models was small. All models except the naïve model had non-significant differences in performance relative to the baseline model (negative binomial model fit per hexagon). No model, including the ensemble or more complex machine learning models, outperformed models based on historical case counts on the hexagon or region level; these models are good forecasting benchmarks. Further work is needed to assess if predictive capacity can be improved beyond that of these historical baselines.

Effects of dietary soluble β-1,3-glucan on the growth performance, antioxidant status, and immune response of the river prawn (Macrobrachium nipponense).

The effects of dietary β-1,3-glucan on the growth performance, body composition, hepatopancreas tissue structure, antioxidant activities, and immune response of the river prawn (Macrobrachium nipponense) were investigated. In total, 900 juvenile prawns were fed one of five diets with different contents of β-1,3-glucan (0%, 0.1%, 0.2%, and 1.0%) or 0.2% curdlan for 6 weeks. The growth rate, weight gain rate, specific growth rate, specific weight gain rate, condition factor, and hepatosomatic index of juvenile prawns fed 0.2% β-1,3-glucan were significantly higher than those fed 0% β-1,3-glucan and 0.2% curdlan (p < 0.05). The whole-body crude lipid content of prawns supplemented with curdlan and β-1,3-glucan was significantly higher than that of the control group (p < 0.05). The antioxidant and immune enzyme activities of superoxide dismutase (SOD), total antioxidant capacity (T-AOC), catalase (CAT), lysozyme (LZM), phenoloxidase (PO), acid phosphatase (ACP), and alkaline phosphatase (AKP) in the hepatopancreas of juvenile prawns fed 0.2% β-1,3-glucan were significantly higher than those of the control and 0.2% curdlan groups (p < 0.05), and tended to increase and then decrease with increasing dietary β-1,3-glucan. The highest malondialdehyde (MDA) content was observed in juvenile prawns without β-1,3-glucan supplementation. The results of real-time quantitative PCR indicated that dietary β-1,3-glucan promoted expression of antioxidant and immune-related genes. Binomial fit analysis of weight gain rate and specific weight gain rate showed that the optimum β-1,3-glucan requirement of juvenile prawns was 0.550%-0.553%. We found that suitable dietary β-1,3-glucan improved juvenile prawns growth performance, antioxidant capacity, and non-specific immunity, which provide reference for shrimp healthy culture.

Optimization of Ethanol-Based Extraction Process for Duliang Formula by Central Composite Design and Response Surface Methodology

Background: Compound medicines (traditional Chinese medicines [TCM] formulae) are the main means of treating diseases in TCM. Now, for the convenience of clinical use, there are a lot of Chinese patent medicines (proprietary Chinese medicine) on the market. However, the preparation of Chinese patent medicine needs to solve 2 key problems. One is as far as possible to keep crude drug's active ingredients, and the second is the cost control of industrialization; in this article, the extraction process for the proprietary Chinese medicine of the classic TCM formula, Duliang formula, has been studied effectively. Objective: To investigate the optimal ethanol-based extraction process for Duliang formula by central composite design and response surface methodology. Materials and methods: Central composite design was used to carry out a 3-factor 5-level study for a comprehensive evaluation of the extraction process of Duliang formula after normalization processing, with the ethanol concentration, solvent volume, duration, and times of extraction as investigation factors to consider; also, the contents of imperatorin, ferulic acid, and extract yield were determined as Quality Control indicators. Multiple linear regression, binomial fitting, and response surface methodology were used to analyze and determine the optimal ethanol-based extraction process for Duliang formula and predict its extraction parameters. Results: The determined optimal ethanol-based extraction process was thermal reflux extraction twice with 11 times of 90% ethanol for 2.5 h each time. The overall desirability for the “Normalization Value” evaluation was 0.7681, with a deviation of −0.99% (&lt;5%) compared with the predicted value (0.7758). Conclusions: The determined ethanol-based extraction process for Duliang formula was easy and convenient, with stable, accurate, reliable parameters and reasonable predictability, and could serve as a reference for the industrial production of Duliang formula.

Clinical epidemiology of carbapenem-resistant Enterobacterales in the Greater Houston region of Texas: a 6-year trend and surveillance analysis

ObjectivesCarbapenem-resistant Enterobacterales (CRE) remain an urgent public health priority in the United States. CRE poses a major threat to patients in healthcare and a potential risk to the community. This study examined the epidemiological trends, clinical, and microbiological data of CRE in the Greater Houston region of Texas. MethodsA multi-institutional retrospective observational study was conducted using surveillance data collected from 2015 to 2020. Predictors of incidence rates of CRE were determined by a negative binomial regression fit using a generalized estimation equation. ResultsOver a 6-year period, 4236 CRE cases were reported, of which Klebsiella pneumoniae accounted for 84.8%. The results show a steady increase in CRE cases, with a sharp rise since 2018. The majority of carbapenemase-producing Enterobacterales were Klebsiella pneumoniae carbapenemase (KPC)-producing (77.2%), followed by other rare carbapenemases, which includes OXA-48, NDM, IMP, VIM, coproduction of KPC with OXA-48, KPC with NDM, and NDM with OXA-48. Acute care hospitals (ACH) accounted for 68.5% of the source of CRE cases. The incidence rate of CRE cases reported from ACH and long-term acute care (LTAC) facilities was 1.16 times that of long-term care facilities (adjusted rate ratio [ARR] = 1.16, 95% confidence interval [CI]:1.04–1.30). The incidence rate of CRE among patients with indwelling devices was 15% (ARR = 0.85, 95% CI: 0.79–0.92) lower than that of patients without indwelling devices. ConclusionThe rise in the rate of CRE cases despite aggressive infection prevention and control strategies in the region is alarming. Evaluating and improving the current infection control strategies may be warranted.

Savage tourism and its implication in theoretical criminology: a shift towards social disorganization

ABSTRACT Routine activities theory has been the most widely used framework to analyse the relationship between tourism and crime. But beyond crime opportunity, other ecological and structural factors may be present in this relationship. This article analyses whether high levels of tourist intensity are related to higher levels of urban crime in Barcelona (Spain) using the variables of social disorganization theory, that is, concentration of disadvantages, population turnover and ethnic-cultural heterogeneity. Under the hypothesis that the touristification of Barcelona neighbourhoods intensifies population turnover and enhances economical and ethnic-cultural heterogeneity in the area, it is expected that higher levels of tourism are related to higher rates of property and personal crime. To test this hypothesis and the mediating role of ecological variables, negative binomial fit models and simple mediation regression models are used. Findings suggest that higher levels of tourism are related to a higher volume of property and violent crimes in neighbourhoods and that this relationship is mediated by residential instability and national heterogeneity. However, mediation models suggest a negative relationship between tourism and crime when concentrated disadvantages are the mediator factor. The need to rethink the role of the socioeconomic variable in the relationship between crime and touristification is discussed.

Determination of the optimized late Pleistocene chronology of a lacustrine sedimentary core from the Heqing Basin by geomagnetic paleointensity and its paleoclimate significance

Long and continuous lacustrine sedimentary sequences from SW China faithfully recorded the evolution of the Indian summer monsoon (ISM). However, the limited dating range (<50 ka) of 14C dating has restricted high-resolution research on the last glacial cycle.We presented a relative paleointensity (RPI) record from a lacustrine sedimentary core from the Heqing Basin to optimize its AMS 14C chronology. Detailed rock magnetic analyses indicated that SD and vortex state magnetite (and/or maghemite) was the dominant magnetic mineral of lacustrine sediments. Moderate variations in concentration-dependent (SIRM, ARM) and grain-size-dependent (ARM/SIRM) parameters satisfied the criteria for the RPI studies. Consequently, we determined the RPI by NRM20-40 mT/SIRM20-40 mT, where NRM20-40 mT denotes the NRM after demagnetization between 20 and 40 mT. Using 6 AMS 14C dates younger than 40 ka BP as constraints, 7 age control points were determined by correlating the lows in the RPI record with those of the target paleointensity stacks PISO-1500. We established a reliable chronological framework of the upper 11.1 m of the HQ drill core by binomial fitting based on the 7 RPI age control points and the climatic transition termination II. The consistent variations in our RPI curve and other global target paleointensity curves indicated that the optimized chronology was reliable.In our optimized chronology, the visible precession cycle in ARM/SIRM indicated that the ISM was a direct response to solar insolation during the last glacial cycle. The strong ISM suggested by the high content of Mesic conifers and tropical and subtropical trees during MIS 3 shifted to MIS 5a. Thus, the “MIS 3 Mega-paleolake” hypothesis in China, which was mainly deduced by the 14C age model, was challenged.

Monsoon, post monsoon rainy days analysis by using normal, binomial distribution and discrete probability for south Gujarat

The analysis will be conducted for standard weekly (SW) 22 to 47 of monsoon and post monsoon season at south Gujarat. The standard weekly rainy days analysis of binomial distribution for monsoon season of Navsari on chi-square test on binomial distribution was found in standard week (SW) 22 to 31, 33 and standard week (SW) 35 to 39 and post monsoon in standard week (SW) 41 to 44 shows significant. The result also reveals that the monsoon season SW 32 and 34 and post monsoon season SW 40, 45, 46 and 47 revealed non-significant result. Analysis reveals the rainfall is not equally distributed during SW 32, 34, 40, 45, 16 and 47, so that the test of binomial distribution is a good fit. Monsoon season rainfall data of Navsari, Bharuch and Valsad reveals that the normal distribution at 10, 20 and 30% probability levels for the month of June, July, August and September shows the possibility of increasing rainy days occurrence. The Navsari and Bharuch districts during post monsoon season rainfall of months of October and November reveals decreasing tendency except Valsad district. The binomial distribution fit only those standard weeks in which rainfall is not equally distributed. The standard weekly rainy days analysis of binomial distribution on chi-square test in Bharuch was found that standard week (SW) 25 only 10% of monsoon season and in post monsoon standard week (SW) 42 and 47 shows non significant (5 and 10% level of significant) result, but SW 25 found significant at 5% level. In case of Valsad district, standard week 22 to 39 of monsoon season and in post monsoon season 41, 42, 43 and 46 standard weeks shows significant result. The result reveals that the monsoon season of Bharuch standard weeks 22 to 39 except from 25 and post monsoon 40, 41, 43, 44, 45 and 46 shows significant result. Further, in Valsad district standard weeks 40, 44, 45 and 47 shows significant result. The trend analysis of rainy days shows that increasing trend in monsoon season and decreasing trend in post monsoon season of Navsari, Bharuch and Valsad districts. From above results observed that the rainfall distribution is not equally distributed so test of binomial distribution at above given standard week is a good fit. The data also shows that, decreasing tendency in rainfall was observed except Valsad district.

Solubility analysis of nano particles, cellulose crystalline region and cellulose molecule, and the impact study of crystalline region on properties of cellulose insulating paper

ABSTRACT For the first time, molecular dynamics simulation was used to analyse the solubility of five kinds of nanoparticles (SiO2, ZnO, Al2O3, Fe2O3, TiO2), cellulose crystalline region and cellulose molecules in this paper. The results show that the solubility of cellulose nanoparticles is positively related to the number of –OH groups on the surface of nanoparticles. The solubility between nano particles and cellulose molecules is smaller than that between cellulose crystalline region and cellulose molecules, which leads to the direct introduction of nano particles for physical modification reducing the solubility parameters of insulating paper. Through the analysis of mechanical properties, thermal stability and insulation properties, it is concluded that the comprehensive performance of the model with 70% crystalline region ratio is the best. The proportion of crystalline region further increased, the improvement of thermal stability is not obvious; the relative permittivity and the content of crystalline region are in line with the binomial fitting curve, and the constant term in the fitting curve is the relative permittivity of the amorphous region model; increasing the proportion of crystalline region is beneficial to improve the insulation performance of cellulose insulation paper.

Rainy days analysis by using normal, binomial distribution and discrete probability for Navsari district of south Gujarat

The standard weekly rainy days analysis of binomial distribution for monsoon season of Navsari on chi-square test on binomial distribution was found in SW 22 to 31, 33 and SW 35 to 39 and post monsoon in standard week (SW) 41 to 44 shows significant. The result also reveals that the monsoon season SW 32 and 34 and post monsoon season SW 40, 45, 46 and 47 revealed non-significant result. Analysis reveals the rainfall is not equally distributed during SW 32, 34, 40, 45, 16 and 47, so that the test of binomial distribution is a good fit. Monsoon season rainfall data of Navsari reveals that the normal distribution at 10, 20 and 30% probability levels for the month of June, July, August and September shows the possibility of increasing rainy days occurrence. The Navsari districts during post monsoon season rainfall of months of October and November reveals decreasing tendency. The binomial distribution fit only those standard weeks in which rainfall is not equally distributed. From above results observed that the rainfall distribution is not equally distributed so test of binomial distribution at above given standard week is a good fit. The data also shows that, decreasing tendency in rainfall was observed in district.

KeyFrame extraction for human motion capture data via multiple binomial fitting

AbstractIn this paper, we make two contributions. The first is to propose a new keyframe extraction algorithm, which reduces the keyframe redundancy and reduces the motion sequence reconstruction error. Secondly, a new motion sequence reconstruction method is proposed, which further reduces the error of motion sequence reconstruction. Specifically, we treated the input motion sequence as curves, then the binomial fitting was extended to obtain the points where the slope changes dramatically in the vicinity. Then we took these points as inputs to obtain keyframes by density clustering. Finally, the motion curves were segmented by keyframes and the segmented curves were fitted by binomial formula again to obtain the binomial parameters for motion reconstruction. Experiments show that our methods outperform existing techniques, in terms of reconstruction error.

Abstract 6103: Absence of Mitsuokella multacida is associated with early onset of colorectal cancer

Abstract Colorectal cancer (CRC) is a global burden, with an expected 2.2 million annual cases and 1.1 million deaths by 2030. Nearly 90% of CRC cases occur in people over the age of 50. However, early onset (&amp;lt;50 years) of CRC is increasing in Egypt. Prior studies suggest that alteration in microbiome composition (dysbiosis) disturbs the symbiotic relationship between the colorectum and resident micro-organisms and promotes CRC. We hypothesize that, for Egyptians, microbiome dysbiosis is responsible for early-onset of CRC. We further hypothesize that there is cross-talk between the microbiome, tumor molecular features, and the immune microenvironment. Thus, we investigated the molecular profiling of these patients via integrated transcriptional-microbiome analysis. We assessed the colonic microbiota and the expression of specific host response genes in normal colonic mucosal samples from 8 healthy individuals and samples from 20 Egyptian CRC patients. A retrospective convenience sample design was employed. Colonoscopy was performed on these patients at Alexandria University Hospital, Alexandria, Egypt. Microbiota composition was determined by 16S rRNA amplicon sequencing. A panel of 784 genes involved in tumor, microenvironment, and immune response were used to characterize differential expression across patient groups by the Nanostring method. This panel facilitates the estimation of immune cell abundance for 15 tumor-infiltrating immune cell types. Differential abundance and cross-talk between the relative abundance of microbiota and tumor RNA expression were evaluated using negative binomial model fitting and Wald statistics. One third of our CRC patient population was under 50 years old at the time of diagnosis with CRC, and most were female. Healthy controls were even younger than CRC cases, and most were females. There were differences in relative abundances of bacteria between healthy controls and those with CRCs. Analysis showed a low abundance of Mitsuokella multacida, a short-chain fatty acid (SCFA)-producing bacterium, in CRC patients when compared to healthy individuals. In particular, this trend was evident for older CRC patients (≥ 50 years); of note, this bacterium was absent in younger patients (&amp;lt;50 years) (adj. p-value = 0.01). Further, there was a high abundance of Fusobacterium nucleatum in all CRC patients compared to healthy individuals (adj. p-value = 0.04). In cross-talk analysis for healthy controls, elevated abundance of M. multacida was inversely associated with macrophage abundance (global p-value =0.055).For Egyptian patients, the absence of SCFA-producing multacida in younger patients may be a reason for early onset of CRC. These findings suggest that the oncoprotective effect of Mitsuokella multacida should be further investigated. These studies are supported by the US-Egypt STDF grants (NAS 2000007148 and 144/17) and the Impact funds of University of Alabama at Birmingham. Citation Format: Amr Elkholy, Michael Behring, Mohammed Mohsen, Prachi Bajpai, Amira Embaby, Doaa Header, Reham Abo Elwafa, Hesham Saeed, Mona Fouad, Waleed Arafat, Upender Manne. Absence of Mitsuokella multacida is associated with early onset of colorectal cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 6103.

The effects of climate variability and seasonal influence on diarrhoeal disease in the tropical city-state of Singapore - A time-series analysis.

Diarrhoeal disease is common and imposes substantial health and economic burdens across the globe, especially in the African and Southeast Asian regions. Besides causing high mortality and morbidity, diarrhoeal disease has also been associated with growth and cognitive shortfalls in children in low-resource settings. Extreme weather events brought about by climate change may increase diarrhoeal disease and impact vulnerable populations in countries regardless of levels of development. We examined the seasonal and climatic influences of acute diarrhoeal disease reports in Singapore, a city-state located in Southeast Asia. We used a time-series analysis, adjusting for time-varying potential confounders in a negative binomial regression model and fitting fractional polynomials to investigate the relationship between climatic factors (temperature, relative humidity and rainfall) and reported diarrhoeal disease. We included 1,798,198 reports of diarrhoeal disease from 2005 to 2018. We observed annual trimodal peaks in the number of reports. Every 10% increase in relative humidity in the present week was positively associated with an increase in reports one week later [Incidence Rate Ratio (IRR): 1.030, 95% CI 1.004-1.057] and negatively associated with a decrease in reports six weeks later (IRR: 0.979, 95% CI 0.961-0.997). We observed effect modification of relative humidity on the risk of diarrhoeal disease in the first calendar quarter (January to March). There was weak evidence of a delayed effect of ambient air temperature on reports of diarrhoeal disease one week later (IRR: 1.013, 95% CI 0.998-1.027). No threshold effects of climatic factors were observed. Each week of school holidays was associated with a 14.4% reduction in diarrhoeal disease reports (IRR: 0.856, 95% CI: 0.840 to 0.871). Public holidays were associated with a reduction in reports in the same week and an increase a week later. Diarrhoeal disease is highly seasonal and is associated with climate variability. Food safety and primary healthcare resource mitigation could be timed in anticipation of seasonal and climate driven increases in disease reports.

Evolutionary Spectra Estimation of a Nonstationary Process Based on a Single Sample

This paper proposes a novel method for estimating the evolutionary power spectral density (EPSD) of a nonstationary process based on a single sample. In the proposed method, a sample of a nonstationary process is decomposed into several components with a new binomial fitting decomposition (BFD). The EPSD of each component can be estimated using a newly proposed time-varying standard deviation estimation method and short-time Thomson multiple-window spectrum estimation method. The EPSD of the analyzed nonstationary sample is obtained by combining the EPSDs of all components. Via a comprehensive numerical study, the applicability of the proposed EPSD estimation method (for estimating the EPSD of a nonstationary process) is analyzed and compared with those by the Priestley method and wavelet-based method. The numerical results indicate that the estimated EPSD by the proposed method is more consistent with the corresponding theoretical one than those by the other two methods. Finally, the EPSDs of Storm Ampil, measured atop the Shanghai World Financial Center, are analyzed by the proposed method.

Dynamic and Time-to-Event Analyses Demonstrate Marked Reduction in Transfusion Requirements for Janus Kinase Inhibitor-Naïve Myelofibrosis Patients Treated with Momelotinib Compared Head to Head with Ruxolitinib

Dynamic and Time-to-Event Analyses Demonstrate Marked Reduction in Transfusion Requirements for Janus Kinase Inhibitor-Naïve Myelofibrosis Patients Treated with Momelotinib Compared Head to Head with Ruxolitinib

Multistage exhumation of the Anjiayingzi gold deposit, northern North China Block: Geodynamic settings and exploration implications

Post-mineralisation exhumation is pivotal because of its strong effects on the preservation of ore deposit. The Jiguanzi quartz monzonite hosts the Anjiayingzi Au deposit at the centre of the Kalaqin Antiform (or Kalaqin metamorphic core complex) in the northern North China Block (NCB). We can link the exhumation of the deposit with regionally geodynamic events and evaluate its exploration implications using low-temperature thermochronology from the quartz monzonite host. Sericite 40Ar/39Ar dating of auriferous quartz-sulphide veins indicates that gold mineralisation timing is 130 ± 1 Ma. Zircon fission track ages of fresh samples from the host quartz monzonite vary from 118 ± 6 to 99 ± 4 Ma, and apatite fission track ages vary from 99 ± 6 to 66 ± 5 Ma. A four-stage post-mineralisation exhumation history is revealed by combining the binomial peak fitting of single-grain ages and low-temperature thermal history inverse modelling. The first exhumation event is dated at ca. 130–100 Ma, and characterised by the most rapid exhumation rate of 167 m/Ma and ca. 5 km rise. This movement is related to the top-to-NW and a SE ductile-brittle extensional deformation of the Kalaqin Antiform. Regionally, it is also contemporaneous with the formation of extensional metamorphic core complexes, development of basins, and increasing heat flow and decreasing thermal lithospheric thickness in the eastern NCB. All of these synchronous events can be linked to the back-arc setting of the subducting Izanagi Oceanic Plate and resulted geodynamic changes beneath the NCB. The relatively slow stage 2 exhumation, dated at ca. 100–65 Ma with an exhumation rate of 20 m/Ma, was triggered by the collision between the Izanagi Oceanic Plate and eastern China at ca. 100 Ma and following change in the drift direction of the Izanagi Oceanic Plate. Sedimentation of basins in the NCB was continuous during this period. Resumed stage 3 exhumation (ca. 65–45 Ma, 27 m/Ma) and synchronous sedimentary inversion are products of regional compression event related to the collision between India and the Eurasian plates. Change of the Pacific Oceanic Plate drifting direction at ca. 50 Ma finally induced the monotonic cooling and exhumation of stage 4 (19 m/Ma). The estimated post-mineralisation exhumation is ~7.1 km, and the ore-forming depth of the Anjiayingzi Au deposit is between 5.1 and 10.1 km. In combination with previously published data, the differential exhumation history, exhumation degree and preservation potential of major gold provinces in NCB are confirmed, which further indicate that their gold prospectivity must be assessed individually.

Extraction of Quercetin from Avocado Meal and Its Antioxidant Activity

Response surface methodology (RSM) was used to optimize the extraction process of quercetin from pear meal and to investigate its antioxidant capacity. The solvent ratio, ultrasonic power and extraction time were taken as independent variables, and the percentage of quercetin was taken as dependent variable. Through multiple linear regression and binomial fitting of each level of independent variable, the better extraction process was selected by response surface methodology and predicted and analyzed. The antioxidant activity of quercetin was evaluated by scavenging 1.1-diphenylpicrylphenylhydrazine free radical (DPPH.) and reducing ability of iron ions (FRAP). The optimum extraction process was obtained as follows: the ratio of liquid to material was 35 mL/g, the ultrasonic power was 550 W, and the extraction time was 30 min. The content of quercetin was 1.585%. Quercetin in avocado meal has strong DPPH scavenging and iron ion reduction ability. When the concentration is 30 mg/mL, DPPH scavenging rate reaches 70%, and iron ion reduction ability almost equals 6 mmol/L FeSO4 concentration, and has a dose-effect relationship.

Improved receiver autonomous integrity monitoring algorithm

The integrity monitoring algorithm guarantees that the receiver can get the correct positioning and speed, which has very important theoretical significance and practical application value. It is one of the most important development contents of the satellite navigation system. Based on the introduction of the traditional least square residual method, this paper compares the binomial fitting time-assisted receiver autonomous integrity monitoring (RAIM) algorithm and a grey model time-assisted RAIM algorithm and finds that the latter can well solve the clock error accumulation problem in the binomial fitting time-assisted RAIM algorithm. In the faulty satellite detection experiments with the same pseudo-range error, the minimum detectable pseudo-range error of the grey model time-assisted RAIM algorithm is 15 m, while the binomial fitting time-assisted RAIM algorithm is 28 m. Incidentally, the detection probability of a faulty satellite with 20 m pseudo-range error of the binomial fitting time-assisted RAIM algorithm is 10%, whereas the grey model time-assisted RAIM algorithm is 81%.