Miracle-dz/UniFAR-FTUs huggingface dataset:
UNCERTAINTIES OF THE ESTIMATORS AND PARAMETERS OF DISTRIBUTION IN MEASUREMENTS WITH MULTIPLY OBSERVATIONS

The article shows that the commonly used method of estimating the Type A uncertainty of measurements based on the standard deviation of estimators of population parameters does not meet the definition of uncertainty. For correct determination of the standard uncertainty, it is necessary to use the distribution of the corresponding population parameter at the values of population estimators determined from the experiment but not the probability distribution of the estimator. The joint probability distribution of population parameters can be derived by transforming the joint distribution of estimators using a Jacobian equal to the ratio of the scale parameter estimator to the population scale parameter itself. Independently on population distribution, the standard uncertainties of the location and scale parameters of the population depend on the number of observation n as a function of 3 1  n , i.e. can be determined when n ≥ 4. When the number of observations is small then the uncertainty value calculated by the usual method may differ significantly from the correct value. The given numerical example confirms this statement.
BACTÉRIAS DA MASTITE SUBCLÍNICA BOVINA: SUSCETIBILIDADE A ANTIBIÓTICOS

Milk is a high nutritional value food and has a worldwide production thanks to the rapid return it provides to producers. In order to milk and its derivatives not lose quality, some procedures are necessary, ranging from production to storage. It should be noted that the use of antibiotics is common in properties to treat the main disease that affects dairy cattle: mastitis. The aim of this study was to test the susceptibility of bacteria isolated in cases of subclinical mastitis against three antibiotics used in veterinary medicine. The bacteria were isolated from milk samples collected in different rural properties in the municipality of Pelotas RS and stored in the laboratory. The antibiogram was performed with three antibiotics: Amoxicillin + Clavulanic acid, Gentamicin and Tetracycline. The bacteria studied were Staphylococcus spp. (coagulase negative), Staphylococcus spp. (positive coagulase), Corynebacterium spp. and Streptococcus spp. The highest resistance was observed to Gentamicin (37.1%), followed by tetracycline (22.2%) and amoxicillin + clavulanic acid (18.5%). The results emphasize for the identification of the causative agent of mastitis and evaluation of the efficacy of antibiotics in each property, because the indiscriminate use of antibiotics has been increasing the resistance of 1 Ciências Biológicas, Universidade Federal de Pelotas, rassier1907@gmail.com 2 Medicina Veterinária, Universidade Federal de Pelotas, helenicegonzalez@hotmail.com 3 Medicina Veterinária, Universidade Federal de Pelotas, silvia.s. ladeira@gmail.com 4 Departamento de Ciência e Tecnologia Agroindustrial, Universidade Federal de Pelotas, dorsgi@yahoo.com. br 5 Profa. Dra. em Medicina Veterinária, Universidade Federal de Pelotas, pattsn@gmail.com
An Analysis of the Factors Influencing the Value Promotion of Chinese E-Commerce Enterprises Based on Amos Model

Based on the data of 148 e-commerce enterprises in China, Amos in the structural equation model is used as the analysis tool to build the verification model of e-commerce enterprise value promotion. 12 observation variables, such as the proportion of R & D expenditure to sales revenue and the proportion of R & D expenditure to sales revenue, are selected to explore innovation competitiveness, scale competitiveness, difference of competitive power has an impact on the promotion of enterprise value. This paper puts forward the suggestions of strengthening supply chain cost control, diversification strategy and cooperation and sharing, which is of practical significance to improve the core value of e-commerce enterprises.
Analysis of Alkoxyglycerols Components in Shark Liver Oil

A gas chromatography/mass spectrometry method was developed for the identification of 6 alkoxyglycerols components in shark oil (ocean near Tasmania of Australia). The sample was saponified with potassium hydroxide in aqueous methanol and non-saponifiable neutral liplids(e.g. alkoxyglycerols) was extracted into hexane/chloroform. The non-saponifiable neutral liplids fractions were treated by acetic anhydride to convert alkoxyglycerols to their corresponding acetic ester. The alkoxycerols were quantified with internal standard by gas chromatography.
Acute LD_(50 )determination of toosendanin in mice by ip injection

object: Using Karber's method to test the LD_(50 ) of Toosendanin in mice by ip injection . Method:taking 10% Propylene Glycol physiological saline as dissolvent for Toosendanin. 90 mice which half is male and another half is female was used to measure 100% lethal dose first, the rest was divided into 7 groups randomly. The ratio of high dose group and low dose group is set up as 1.2. Results showed that the LD_(50 ) values in this experiment is 13.84 mg/kg, with the 95% confidence limit of 12.4638～15.3701 mg/kg.
The Impact of Artificial and Non- Artificial Intelligence on Production and Operation of new Products -An Emerging Market Analysis of Technological Advancements A Managerial Perspective

Currently, the new product development and success has been an essential factor for the success of an organization and prominent issue that needs high artificial along with non-artificial intelligence. Thus, the present study aim is to examine the role of artificial intelligence such as technical infrastructure quality, management capabilities and personal expertise along with non-artificial intelligence such as emotional and spiritual intelligence, information processing capability and responsiveness capability on the new product success of the manufacturing organization in China. The examination of the mediating role of new product innovativeness among the nexus of artificial along with non-artificial intelligence and new product success also included in the goals of the current study. The data has been gathered by using questionnaires from the research and development department of manufacturing companies in China and PLS-SEM has been used for analysis purpose. The results revealed that artificial along with non-artificial intelligence has a positive association with the new product success of the organization. The results also show that new product innovativeness positively mediating among the links of artificial and non-artificial intelligence and new product success of the manufacturing organizations in China. These findings have provided the guidelines to the regulation-making authorities that they should develop the regulation that promotes the artificial as well as non-artificial intelligence in the organization that has played a vital role in the success of the organization.
Predictive value of two polymorphisms in ABCB1, rs1045642 and rs1128503, in prognosis following taxane-containing chemotherapy: A meta-analysis

Background: Although taxane-containing chemotherapy is widely used to treat solid tumors, genetic polymorphisms can influence the chemotherapeutic response. This meta-analysis was conducted to determine the correlation between two polymorphisms in ABCB1 , rs1045642 and rs1128503, and survival of patients administered taxane-containing chemotherapy. Methods: PubMed, Web of Science, Embase, Wanfang database, VIP database, and China National Knowledge Infrastructure database were used to obtain articles published up to August 2019 describing the association between the ABCB1 rs1045642 and rs1128503 polymorphisms and survival. A meta-analysis was conducted using R 3.6. 1 software to determine the pooled hazard ratio (HR) and 95% confidence intervals (95% CI). Furthermore, publication bias was assessed, and sensitivity analysis was performed to validate the analysis. Results: Fifteen studies involving 3320 patients were included in the meta-analysis. The summary results showed that the effect of the C1236T polymorphism on progression-free survival remained significant in the heterozygote model (HR 0.81; 95% CI: 0.67–0.98) and homozygote model (HR 0.71; 95% CI: 0.58–0.88). Compared to the C1236 TT phenotype, the CC genotype was associated with a poor overall survival (HR 0.72; 95% CI: 0.53–0.97). Finally, subgroup analysis suggested that different areas, tumor types, and treatment regimens influence patient survival. Conclusions: Patients who are ABCB1 rs1045642 and rs1128503 T gene carriers show a survival benefit with taxane-containing chemotherapy.
Microphase Separation of Binary Liquids Confined in Cylindrical Pores

We have investigated the structure of tert-butanol–toluene liquid mixtures when confined in the cylindrical channels of MCM-41 mesoporous silicate, and we can conclude on the existence of a microphase-separated tubular structure of these binary liquids although fully miscible in bulk conditions. Neutron diffraction experiments with selective isotopic compositions have been performed to vary systematically the scattering length density and thus to highlight different mixture components. The observed apparently anomalous variation of the intensity of the Bragg peaks of the MCM-41 after filling demonstrates without further analysis that the liquid mixture must be inhomogeneous at the nanoscale. Our experimental observations can be rationalized when comparing with the predictions of simple core–shell models. Within this core–shell model, we deduce that tert-butanol segregates as a pore surface layer of about one atomic size surrounding a toluene-rich core of two to three atomic layers.
Optimizing strategies to mitigate risk in a supply chain disruption

With the growth of globalization in the supply chain industry, manufacturing firms and suppliers are more susceptible to disruptions. There is a huge gap between optimization, simulation, and supply chain risk management. Our research is an attempt to bridge this gap, by improving a currently existing supply chain disruption model through Bayesian optimization technique. During a disruption, suppliers of manufacturing firms do not always have an option of moving their facility to an alternate location. This model optimizes a complex simulation to help identify the optimal risk management strategies for a firm who is planning for a severe supply chain disruption. The results of the model are depicted through an illustrative example based out of the 2011 Japanese earthquake and tsunami, and its robustness is tested through sensitivity analysis. Firms need to be prepared for disruptive events and may have the desire to maximize their profit and this model provides techniques to the decision maker to choose cost-effective strategies based on certain parameters.
Effect of Yeast Culture (Saccharomyces cerevisiae) Supplementation on Growth Performance, Excreta Microbes, Noxious Gas, Nutrient Utilization, and Meat Quality of Broiler Chicken

The study was conducted to test the effects of using yeast culture (Saccharomyces cerevisiae) as feed additive on the growth performance, noxious gas emission, utilization of nutrients, excreta microbial count, and meat quality of broilers. In total, 360 one-day-old Ross 308 broilers with average body weight (BW) of 42.90±1.43 g were randomly selected and allotted to two groups; they were fed either a basal diet (control) or a basal diet supplemented with 1% yeast culture (YC). Each treatment group had 10 replication pens and each replication contained 18 birds. The experiment was divided into 3 phases (1 to 7, 8 to 21, and 22 to 35 days) for growth performance observation. In the 1st phase (1 to 7 days), only the body weight gain (BWG) significantly increased (P<0.05) in birds with the YC diet compared to the control diet. Significant effects on BWG (P<0.05) and feed conversion ratio (FCR) (P<0.05) were seen in birds receiving the YC-supplemented diet in the 3rd phase (22 to 35 days) as compared to the control diet. In addition, during the overall period (1–35 d), BWG was significantly higher (P<0.05) and FCR was reduced (P<0.05). Throughout this experiment, the meat quality, nutrient utilization, noxious gas emission, and bacterial count in the excreta did not vary significantly between the groups. This study proved that a higher dose of YC (Saccharomyces cerevisiae) supplementation could maintain the consistent positive effect on broiler growth but eliminated the speculated outcomes on digestibility, bacterial count, or excreta gas emission.
Reply on RC2

The manuscript presents new retrieval statistics for planetary boundary layer (PBL) water vapor from high-spatial resolution spaceborne imaging spectroscopy. The authors focus on a sensitivity analysis based on a coupled forward and inverse modeling in the frame of the Earth Surface Mineral Dust Source Investigation (EMIT) mission. They analyze uncertainties introduced by instrument errors, surface type, and varying solar zenith angle (SZA), and assess the overall potential of upcoming spaceborne high-resolution VSWIR instruments.
The impact of probiotics supplementation on gut microbiota after Helicobacter pylori eradication: a multicenter, open-label, randomised trial

Background: Helicobacter pylori (H. pylori) eradication therapy may lead to the perturbation of gut microbiota. The role of probiotics in gut microbiota during eradication therapy is still debated. Design: This was a multicentre, open-label, randomised trial done at seven hospitals in China. 162 patients were enrolled, 79 patients were randomly divided into group A (bismuth quadruple therapy), and 83 patients were randomly subjected into group B (bismuth quadruple therapy supplemented with Medilac-S). Faecal samples were collected before treatment and 2 weeks, 4 weeks, 6 weeks, and 8 weeks after eradication therapy. Gut microbiota was analyzed by 16S rRNA high-throughput sequencing. This trial is complete and registered with Chinese Clinical Trial Registry (Chictr.org.cn, ChiCTR1900022116). Results: The eradication rates of group A and group B were 82.43% and 87.01%, respectively (P>0.05). Compared with baseline, alpha and beta diversity was significantly altered 2 weeks after eradication in both group A and group B, which was restored at week 8. There were no significant differences in alpha and beta diversity between the two groups. Bismuth quadruple therapy resulted in enrichment of some detrimental bacteria taxa such as Klebsiella and Streptococcus that were not recovered by week 8. Probiotics supplementation could rapidly restore the taxa levels of Klebsiella and Streptococcus by week 4 after eradication, and increase the beneficial taxa of Bacillus and Lactobacillales. Functional analysis revealed that lipopolysaccharide biosynthesis and polymyxin resistance pathways were significantly enriched after eradication therapy, while probiotics supplementation mainly enriched the cofactors and vitamins metabolism pathways. Several detrimental taxa were identified to be correlated with features of older age, alcohol use and high BMI, while probiotics supplementation could effectively restore the adverse impact in patients with these characteristics.Conclusion: Probiotics supplementation is beneficial for patients during H. pylori eradication, especially for patients with older age, alcohol drinking, and obesity, which might obtain the maximum benefits.
Wedelia trilobata's response to heavy metals and heavy metal absorption and enrichment in its body with sludge as a part of growth substrate

Phytoremediation is a good method for solving more and more prominent heavy metal problems.However,plant's response to heavy metals and heavy metals accumulation in the plant's body are the basic scien-tific issues in this field.In order to reveal the response of Wedelia trilobata to heavy metals and its accumulation effect in sludge,a soil experiment was designed and carried out.The physiological indexes in the leaves of W.tri-lobata,including chlorophyll content,peroxidase(POD) activity,and superoxide dismutase(SOD) activity after planting in different ratios of sludge(containing heavy metals) to sandy soil for three,four,five and six months,were detected respectively.The metals content(Cd,Cr,Mn,Ni,Pb,Cu,Zn) in the leaves,roots,and stems of W.trilobata after planting in different ratios of the above growth substrate for six months,were also detected re-spectively.The results showed that the chlorophyll content in the leaves of W.trilobata significantly(P0.05) as-cended with the increase of sludge proportion;the POD activity and SOD activity significantly(P0.05) changed with the increase of sludge proportion,and both significantly(P0.05) decreased after growth in the growth sub-strate;it also showed that the content of Ni,Cu and Cr in the leaves of W.trilobata were higher when grown in substrate with higher proportional sludge added(20% and 40% sludge). Our experiment suggest that the sludge is helpful to increase chlorophyll content in the leaves of W.trilobata,which has strong tolerance to sludge heavy metals,and it is a hyperaccumulator of Ni,Cu and Cr.
Leader versus Lagger: How the Timing of Financial Reports Affects Information Quality and Investment Efficiency

This paper examines how the relative timing affects the quality of financial reports in a staggered reporting system. We show that the audit quality of the leader firm exceeds that of the lagger. Investment efficiency also differs systematically across firms depending on the relative reporting timing as well as the ownership structure of audit firms. We characterize optimal auditing standards and show, as regulatory tools, how imposing minimum audit quality requirement and adjusting auditors' legal liability complement and/or substitute.
Pharmacokinetics of gastrodigenin in brain tissue of mice after intragastric administration of gastrodin

Objective To establish an HPLC method for determination of gastrodigenin concentration in brain tissue of mice and investigate its pharmacokinetics after intragastric administration of gastrodin.Methods The brain homogenate was extracted with acetoacetate and analyzed by HPLC method.The separation was performed on a Diamonsil C18 column(250 mm × 4.6 mm,5 μm) under the following chromatographic conditions: mobile phase,acetonitrile-water(10.5∶89.5);column temperature,25 ℃;flow rate,1.0 mL/min;detection wavelength,221 nm;and sampling amount,20 μL. Results The calibration curve showed good linearity within the concentration range of 50-1 616 ng/mL(r= 0.999 6). The relative recoveries were 93.8%-95.1%,and the RSDs of the intra-and inter-day precision were less than 10%. The concentration-time profile of gastrodigenin in brain tissue of mice showed double peaks(tmax1=15 min,tmax2=90 min). The AUC was 52 822.5 ng·min/g,and t1/2(ke) was 54.8 min.Conclusion The analytical method established for assay of gastrodigenin in brain tissue of mice is sensitive and accurate.The result indicates that gastrodin could rapidly distribute to the brain,be metabolized into gastrodigenin,and be eliminated after oral administration.
Detecting Cataract Using Smartphones

Objective: Cataract, which is the clouding of the crystalline lens, is the most prevalent eye disease accounting for 51% of all eye diseases in the U.S. Cataract is a progressive disease, and its early detection is critical for preventing blindness. In this paper, an efficient approach to identify cataract disease by adopting luminance features using a smartphone is proposed. Methods: Initially, eye images captured by a smartphone were cropped to extract the lens, and the images were preprocessed to remove irrelevant background and noise by utilizing median filter and watershed transformation. Then, a novel luminance transformation from pixel brightness algorithm was introduced to extract lens image features. The luminance and texture features of different types of cataract disease images could be obtained accurately in this stage. Finally, by adopting support vector machines (SVM) as the classification method, cataract eyes were identified. Results: From all the images that we fed into our system, our method could diagnose diseased eyes with 96.6% accuracy, 93.4% specificity, and 93.75% sensitivity. Conclusion: The proposed method provides an affordable, rapid, easy-to-use, and versatile method for detecting cataracts by using smartphones without the use of bulky and expensive imaging devices. This methodcan be used for bedside telemedicine applications or in remote areas that have medical shortages. Previous smartphone-based cataract detection methods include texture feature analysis with 95 % accuracy, Gray Level Co-occurrence Matrix (GLCM) method with 89% accuracy, red reflex measurement method, and RGB color feature extraction method using cascade classifier with 90% accuracy. The accuracy of cataract detection in these studies is subject to changes in smartphone models and/or environmental conditions. However, our novel luminance-based method copes with different smartphone camera sensors and chroma variations, while operating independently from sensors’ color characteristics and changes in distances and camera angle. Clinical and Translational Impact—This study is an early/pre-clinical research proposing a novel luminance-based method of detecting cataract using smartphones for remote/at-home monitoring and telemedicine application.
Chemical Induced Grafting of Indole onto Chitin & Chitosan - and their Antimicrobial Activity

The graft copolymer of indole with chitin and chitosan was prepared by two techniques, chemically using potassium persulphate as an initiator. Evidence of grafting was obtained by FTIR. The effects of initiator concentration, monomer concentration and temperature on the grafting percentage were studied. The grafted samples show a higher chelation capacity towards cation ions of Cu 2+ Ni 2+ and Co 2+ . The thermogravemitric analysis of grafted samples showed an improvement in the thermal stability. The antimicrobial activity of the grafted samples was investigated using the agar- disc diffusion method and the spectroscopic method. These two methods showed different effects against a diverse range of organisms comprising some Gram-positive, Gram-negative bacteria and fungi. The mechanism of antimicrobial activity of the grafted samples could make some of the tested micro-organisms flocculate. Also a weak antimicrobial activity was shown against the other organisms.
Discrimination of Producing Areas of Flue-cured Tobacco Leaves with Near Infrared Spectroscopy-Based PLS-DA Algorithm

In order to fast identify and discriminate the producing area of flue-cured tobacco leaves nondestructively,four discrimination models were established with PLS-DA algorithm on the basis of near-infrared spectra of 464 tobacco leaf samples from Sichuan,Yunnan,Chongqing and Fujian in 2008.The results showed that: 1) The correlation coefficient between predicted values and measured values of classified variables of calibration set were higher than 0.94 in all the four models,which showed that the models were of good fit.2) The discriminating accuracies of models for samples in validation set were higher than 93.0%. 3) The leaves from Sichuan,Yunnan,Chongqing and Fujian could be effectively discriminated from each other by the models.