Miracle-dz/UniFAR-FTUs huggingface dataset:
Generalized Polya urn models and related distributions (Asymptotic Statistical Theory)

In this paper, we consider aPolya urn model containing balls of $m$ diﬀerent labels under ageneral replacement scheme, which is characterized by an $m \cross m$ addition matrix of integers without constraints on the values of these $m ^{2}$ integers other than non-negativity. This urn model includes some important urn models treated before. By amethod based on the probability generating functions, we consider the exact joint distribution of the numbers of balls with particular labels which are drawn within $n$ draws. As aspecial case, for $m=2$ , the univariate distribution, the probability generating function and the expected value are derived exactly. We present methods for obtaining the probability generating functions and the expected values for all $n$ exactly, which are very simple and suitable for computation by computer algebra systems. The results presented here develop ageneral workable framework for the study of P \’olya urn models and attract our attention to the importance of the exact analysis. Our attempts are very useful for understanding non-classical urn models. Finally, numerical examples are also given in order to illustrate the feasibility of our results.
Artificial Intelligence Virtual Assistants (Chatbots) are Innovative Investigators

Summary The primary objective of this research is to evaluate the artificial intelligence virtual assistant or chatbots effect on the development for recruitment. The author discovers how virtual assistants allowed facility transfer to fascinate the candidates and their arrangement in the enrollment process. The purpose of the research is to find chatbots or virtual assistants influence across the employment practice. The examination is altogether grounded on subordinate establishments like hypothetical articles papers, peer assessed explore papers, and sites are applied to talk about the present paper. The paper started that man-made brainpower menial helpers or chatbots are exceptionally productive devices during the time spent work and it will be obliging in figuring business approach for the Production. Besides, it targets more on to clarify complex issues in the act of business. Despite the fact that the blend of man-made brainpower business strategy is developing politeness among the agents still there is forthcoming opportunity to investigate in the field. The exploration conveyed prospective research openings in the field of remote helpers or chatbots and criminologists
The dynamics of inequality of the crowding-out effect of tobacco expenditure in an emerging country

In recent decades, policy initiatives involving increases in the taxes of tobacco products have increased pressure on budget allocations in poor households. In particular, the crowding-out effect concerning human capital accumulation is an important concern in developing countries. In this study, we examine this issue in the context of the expansion of the social welfare state that has taken place over the last two decades in several emerging economies. This study explores the case of Colombia between 1997 and 2011. In this period, the budget share of the poorest expenditure quintile devoted to tobacco products of smoker’s households doubled . We analyse the differences between the poorest and richest quintiles in relation to the changes in budget shares, fixing a reference population over time to avoid demographic composition confounders. We find no evidence of crowding-out of education, or health expenditures. This is likely to be the result of free universal access to health insurance and basic education for the poor. For higher income households, tobacco crowd-out expenditures on entertainment, leisure activities, and luxury expenditures. This finding should reassure policy-makers who are keen to impose tobacco taxes as an element of their public health policy.
The effect of conditions and designs on the conformation of DNA nanostars

The effect of and DNA and RNA nanostars are model colloids that undergo liquid-liquid phase separation to form empty liquids and hydrogels. The properties and phase behavior of these novel materials depend on the structure and flexibility of their component nanostars, but experimental studies that correlate those parameters with nanostar design are currently lacking. To help guide nanostar design for desired colloidal behavior in the absence of experimental characterization, we study the effect of common design parameters on the conformational fluctuations of nanostars under typical temperature and salt conditions using the coarse-grained simulation tools oxDNA2 and oxRNA2. We observe that the overall mass distribution of a nanostar is often not spherically symmetric due to the tendency for the double-helical arms to base-stack across the junction. We further observe the distribution of inter-arm angles differs markedly between conformations with and without stacked arms, especially in three- and four-armed nanostars. We quantify a nanostar’s propensity to stack as a function of the number of arms and the number (and type) of junction bases. Results are similar/different for RNA and DNA nanostars, despite (OR) consistent with the differences between A-form (RNA) and B-form (DNA) double-helices. In addition to informing nanostar experiments, these results can serve to guide patchy particle design for increasingly coarse-grained simulations of nucleic acid liquids and gels.
OUTBOUND OPEN INNOVATION IN ACADEMIA: A SYSTEMATIC REVIEW OF THE EXPLOITATION PRACTICES AND OUTCOMES IN UNIVERSITIES

any form) and sold by universities. The results indicated that a greater part of such research analyzes commercialization modes, with licensing being the main channel of technology transfer, followed by analyses of the performance of the various research modes. In ad‐ dition, some papers also mention the value network; fewer studies discuss strategies and the managerial perspectives. We analyzed the literature in 42 academic journals and 118 papers speciﬁcally dealing with this research topic. This review is the ﬁrst to analyze literature systematically in terms of the ﬁnancial beneﬁt acquired by universities from technology transfer and to analyze the best means through which the income can be generated, e.g., licensing, com‐ mercializing, the creation of spin‐oﬀs, and transferring knowledge or technology to other institutions or establish‐ ments. Journal, Abstract
REPRESENTATION AND PROPERTY ADJUSTMENTS OF SURFACE DIFFEOMORPHISMS USING BELTRAMI HOLOMORPHIC FLOW

In this work, we propose a novel idea of representing surface diﬀeomorphisms using Beltrami coeﬃcients, which are complex-valued functions deﬁned on the surface that describe local non-conformal distortions of the surface map. According to Quasiconformal Teichmuller theory, there is an one-to-one correspondence between the set of surface diﬀeomorphisms ﬁxing three points and the set of Beltrami coeﬃcients with L ∞ -norm strictly less than 1. Every surface diﬀeomorphism is associated with a unique Beltrami coeﬃcient. Conversely, given every such coeﬃcient, we can reconstruct the associated diﬀeomorphism exactly using a ﬂow, called the Beltrami holomorphic ﬂow , which solves the Beltrami equation. The use of Beltrami coeﬃcients to represent surface diﬀeomorphisms is a powerful method because it captures the most essential features of surface maps, such as conformality distortions, rotational changes and dilations. By adjusting the Beltrami coeﬃcient, we can adjust the surface diﬀeomorphism accordingly to obtain desired properties of the map. More- over, the Beltrami holomorphic ﬂow guarantees to give a smooth sequence of surface diﬀeomorphisms. Therefore, a sequence of surface diﬀeomorphisms can be represented by a sequence of Beltrami coef- ﬁcient and can be reconstructed by the Beltrami holomorphic ﬂow. Using this approach, we propose several applications to properties adjustment of surface maps. It includes the accurate alignment of landmark curves, the reconstruction of surface diﬀeomorphisms, the construction of Riemann maps and the restoration of diﬀeomorphic and conformality properties. We apply our algorithms on diﬀer- ent Riemann surfaces. Experimental results show that the Beltrami coeﬃcient can eﬀectively assist us to represent and adjust surface diﬀeomorphisms.
An Efficient Tumor Segmentation of MRI Brain Images Using Thresholding and Morphology Operation

In medical image processing, segmentation of the internal structure of brain is the fundamental task. The precise segmentation of brain tumor has great impact on diagnosis, monitoring, treatment planning for patients. Various segmentation techniques are widely used for brain Magnetic Resonance Imaging (MRI). The aim of this paper presents an efficient method of brain tumor segmentation. Morphological operation, pixel extraction threshold based segmentation and Gaussian high pass filter techniques are used in this paper. Thresholding is the simplest approach to separate object from the background, and it is an efficient technique in medical image segmentation. Morphology operation can be used to extract region of brain tumor. This system converts the RGB image to gray scale image and removes the noise by using Gaussian high pass filter. Gaussian high pass filter produced sharpen image and that improves the contrast between bright and dark pixels. This method will help physicians to identify the brain tumor before performing the surgery.
PRELIMINARY – PLEASE DO NOT CITE OR CIRCULATE WITHOUT THE AUTHOR’S CONSENT 1 HOW KNOWLEDGE SCALING RESHAPES STRATEGIC HUMAN CAPITAL MANAGEMENT: EVIDENCE FROM ACQUISITIONS IN PRIVATE HIGHER EDUCATION

This paper addresses how knowledge scaling–the simultaneous deployment of the same knowledge resource across multiple organizational units–reshapes human capital management. Specifically, we examine acquisitions as sharp opportunities for organizations to scale knowledge and to reconfigure resources. The main argument in this paper is that knowledge scaling may create incentives for organizations to specialize workers on tasks that complement the knowledge being scaled while also weakening the worker-organization relationship when if such tasks rely less on worker-level knowledge that is less specific to the worker (e.g. tacit knowledge and experience). We articulate and find empirical support for these ideas in the context of private post-secondary education in Brazil, where educational groups engaged in a wave of acquisitions between 2006 and 2014 and scaled standardized courseware, pedagogical practices, and managerial processes to target units. Empirically, we combine in-depth interviews to econometric analyses using a unique dataset with information about characteristics of universities, faculty labor contracts, and acquisitions in the Brazilian private higher education market. Our results show that beyond performance gains, knowledge scaling increased the specialization of faculty work arrangements around teaching and led to a sustained increase in turnover rate. This paper contributes to the literatures on resource reconfiguration and on the multi-level nature of strategic human capital by advancing how a firm-level strategy to scale knowledge resources reshapes the nature of how organizations deploy workers as valuable resources.
Bayesian Additive Regression Trees for Multivariate Responses

This dissertation introduces a nonparametric regression approach for multivariate skewed responses using Bayesian additive regression trees (BART). Existing BART methods use ensembles of decision trees to model a mean function, and have become popular recently due to their high prediction accuracy and ease of use. The usual assumption of a univariate Gaussian error distribution, however, is restrictive in many biomedical applications. Motivated by an oral health study, we provide a useful extension of BART, called the skewBART model, to address this problem. We then extend skewBART to allow for multivariate responses, with information shared across the decision trees associated with different responses within the same subject. The methodology accommodates within subject association and allows different skewness parameters for different responses. We illustrate the benefit of our multivariate skewBART model by analyzing the oral health study with highly skewed multiple responses. Secondly, BART model for analyzing mixed correlated continuous and count responses is proposed in this dissertation. Although Bayesian approaches are favored to model the uncertainty of estimation and to incorporate prior information, the limitation of developing simple and efficient algorithms for posterior computation has made Bayesian analysis of counts underdeveloped. However, recent latent variable construction based on Polya-Gamma random variables makes Bayesian inference appealing in the negative-binomial model with efficient sampling derived by exploiting conditional conjugacy. By utilizing Pólya-Gamma latent variable construction, the proposed BART model accounts for associations between count and continuous responses. Moreover, an efficient gibbs sampling is derived by exploiting conditional conjugacy since the negative binomial likelihood can be represented as a mixture of normals with Polya-Gamma mixing distribution. The utility of the models is demonstrated by analyzing the oral health study with mixed multiple responses.
Hard Drive Failure Prediction for Large Scale Storage System

Data centers use large numbers of hard drives as data storage devices and it is an increasing challenge to maintain the reliability of the storage system as the number of the hard drives increases exponentially. Manual monitoring does not seem to be efficient for large scale storage systems. Typically, the distributions of healthy hard drives and failed hard drives are highly imbalance. In addition, the size of the training data is large for large scale storage systems. The existence of such challenges makes the hard drive failure prediction problem interesting. In this thesis, several classification models are applied to the hard drive S.M.A.R. T. data from 34,970 hard drives for failure prediction, and the results are compared. Based on the analysis, XGBoost provides the best overall prediction result and it is able to process the data efficiently.
Porting Wireless Mesh Networks to the Android System

Wireless Mesh Networks (WMN) are now a part of IEEE 802.11 standard. Presented as an noninfrastructured solution to deploy large scale networks, they are now on the focus of academical and commercial interest. Mobile devices are simultaneously growing, implementing and providing the state of the art wireless technologies available, but are still lacking native support for WMNs. As of 2010, Cozybit created the open80211s project, which is now integrated in the Linux Kernel and since then has not been maintained by Cozybit, leaving developers without a source of documentation on how to accomplish WMN support in current devices and architectures. On the course of this dissertation, we present the methodology associated with the whole process of providing support for WMN in Android devices. More than the final result, we will provide every single implementation step, to help towards the development of new solutions and hopefully provide a starting point for future implementations. We will overview the android architecture regarding wireless drivers, and present a step-by-step solution to natively create and integrate WMN capabilities on an open-source CyanogenMod distribution, based on android, providing all the details on the system build as well as presenting the result we obtained.
Battery modular multilevel management (Bm3) converter applied at battery cell level for electric vehicles and energy storages

This paper introduces a modular battery system based on an integrated 3-switch inverter topology, referred to as Battery Modular Multilevel Management (BM3) system. The 3-switch topology can be directly applied on battery cell level. In interconnection with the other battery cells, series and parallel connections can be ﬂexibly formed across the battery modules to synthesize any kind of output voltage. In this manner the BM3 topology can work as a ﬂexible DC/AC or DC/DC converter. Furthermore, individual cells can be bypassed, so that each cell can be charged and drained according to their individual capacity. Thus, any additional passive or active balancing circuitry becomes obsolete. Within the frame of this paper’s analysis, the basic functionality of the BM3 topology is explained and the possible application as a DC/AC inverter is validated using a small scale prototype setup.
2004 Dynamics of human walking

The problem of biped locomotion at steady speeds is discussed through a Lagrangian formulation developed for velocity-dependent, body driving forces. Human walking on a level surface is analyzed in terms of the data on the resultant ground-reaction force and the external work. It is shown that the trajectory of the center of mass is due to a superposition of its rectilinear motion with a given speed and a backward rotation along a shortened hypocycloid. A stiﬀ-to-compliant crossover between walking gaits is described and the maximum speed for human walking, given by an instability of the trajectory, is predicted.
Development and characterization of the microsatellite markers for the Neptune whelk, Neptunea cumingii

Background The Neptune whelk, Neptunea cumingii, is an economic species endemic to the East Asia Warm Temperate Biotic Subregion. The development of microsatellite markers will be bene�cial to the assessment of genetic diversity and conservation of resources on this decreasing gastropod. Methods and Results The microsatellite markers were developed and characterized through Illumina high-throughput sequencing and capillary electrophoresis techniques. 11 polymorphic microsatellite loci were screened and validated. The observed heterozygosity and expected heterozygosity of each locus ranged from 0.0600 to 0.6508 and from 0.7380 to 0.9375, respectively. The average Shannon’s information index, polymorphism information content, F-Statistics and gene �ow were 2.0828, 0.8325, 0.0519 and 4.5660, respectively. The genetic diversity analysis indicated a closer genetic distance between populations of Dalian and Lvshun. The distribution pattern of polymorphic microsatellite loci reveals that the Yellow Sea Warm Current generates the high level of genetic connectivity in N. cumingii. The markers developed in this study are expected as informative for further analysis of genetic diversity in N. cumingii.
SOURDOUGH FERMENTATION IN GLUTEN-FREE BREAD: A SHELF-LIFE IMPROVEMENT

Nowadays, the demand for high quality gluten-free (GF) products is growing, especially for bread. New approaches are necessary, such as finding new combinations of GF flours or different fermentation processes. Sourdough is one of the fermentation methods used in baking industry which showed an improvement to the quality of GF bread (texture, palatability, aroma, shelf life). The research aimed to improve the GF bread characteristics based on buckwheat flour, quinoa flakes and pea protein powder using two types of lactic acid bacteria (LAB). Three samples of GF formulation were developed: S1 with the addition of Lactobacillus plantarum (0.6%), S2 with Lactobacillus sanfranciscensis (0.6%) and a control without LAB. Breads were evaluated for their physico-chemical, microbiological and sensory characteristics. The best acceptance score was for S2 followed by S1 and control. The colour measurement showed similar values, while the crumb texture recorded diversified levels with S1 being the hardest. The microbiological analysis showed an increase in the bread shelf life from 3 days (control) to 7 days (S2). This study underlined that both shelf life and taste of GF bread have been improved by using LAB.
AN ANALYSIS OF FACTORS IMPACTING CONSUMER PURCHASE INTENTION ON HERBAL PRODUCTS

Consumer Purchase Intension (CPI) on the herbal product need to be investigated as it is one of the growing businesses against increasing competition. In this research, internal and external factors influencing the purchasing intention of consumers for herbal products were investigated. A self-administrated structured questionnaire was provided to 330 customers visited 50 prominent herbal stores in Sri Lanka using a convenient sampling technique. The collected data were subjected to test the construct validity and reliability of the data. Subsequently, the correlation and multiple regression analysis were carried out to find the association factors between CPI and other internal and external factors related to the customers of herbal products and their impacts. The results have shown that the data set was valid and reliable for ensuring analysis results. The positive strong significant (p<0.05) relationship was observed between CPI and perceived quality, value, price, and advertisement whereas significantly (p<0.05) negative relationship was shown by perceived risk. Further, the study found that perceived quality, risk, price, and trust were the significant influential factor in purchasing herbal products intensively. Therefore, herbal production firms can do all of their activities to improve the perceived quality of customers and reduce the perceived risk. Companies can produce products and develop new or existing herbal products through their Research and Development (R&D) department to diversify their products from their potential competitors. Besides, perceived risk can be minimized by distributing free samples to new consumers. Companies can use new pricing techniques as psychological pricing. And by using brand endorsers to advertise the product, the organization will raise trust in the product.
The Frequency of Germ-line Mutations in the Breast Cancer Predisposition Genes BRCA1 AND BRCA2 in Familial Prostate Cancer 1

Predisposition to prostate cancer has a genetic component, and there are reports of familial clustering of breast and prostate cancer. Two highly penetrant genes that predispose individuals to breast cancer ( BRCA1 and BRCA2 ) are known to confer an increased risk of prostate cancer of about 3-fold and 7-fold, respectively, in breast cancer families. Blood DNA from affected individuals in 38 prostate cancer clusters was analyzed for germline mutations in BRCA1 and BRCA2 to assess the contribution of each of these genes to familial prostate cancer. Seventeen DNA samples were each from an affected individual in families with three or more cases of prostate cancer at any age; 20 samples were from one of affected sibling pairs where one was < 67 years at diagnosis. No germ-line mutations were found in BRCA1 . Two germ-line mutations in BRCA2 were found, and both were seen in individuals whose age at diagnosis was very young ( < 56 years) and who were members of an affected sibling pair. One is a 4-bp deletion at base 6710 (exon 11) in a man who had prostate cancer at 54 years, and the other is a 2-bp deletion at base 5531 (exon 11) in a man who had prostate cancer at 56 years. In both cases, the wild-type allele was lost in the patient’s prostate tumor at the BRCA2 locus. However, intriguingly, in neither case did the affected brother also carry the mutation. Germ-line mutations in BRCA2 may therefore account for about 5% of prostate cancer in familial clusters.