Miracle-dz/UniFAR-FTUs huggingface dataset:
CONTROL THEORY AND HOLOMORPHIC DIFFEOMORPHISMS

This paper surveys some results about holomorphic diffeomorphisms on very symmetric complex manifolds. However, the true underlying objective is to show how this can be achieved using certain ideas which lie at the foundations of control theory. By symmetric complex manifolds we mean those whose holomorphic diffeomorphism groups are infinite dimensional and, even more, as large as they can possibly be. As a complex analyst might expect, the manifolds of greatest interest are Stein. However, much stronger hypotheses than these will be needed. In fact, having so many holomorphic diffeomorphisms is the non-generic situation in complex analysis. This will be explained in more detail below. In what follows, a central role will be played by complete holomorphic vector fields. While this is to be expected, a new twist in complex analysis is that there are always very few complete holomorphic vector fields. (Contrast this with situations where nontrivial compactly supported functions exist.) However, there is a trick, going back to Euler, which allows one to approximate by diffeomorphisms the flow of a holomorphic vector field satisfying certain conditions. One is then lead naturally to the so-called Density Property, which we introduced in [17]. One of the simplest ways to exploit the ideas alluded to in the previous paragraph is to study the possible jets of holomorphic diffeomorphisms using these ideas. Here again, ideas from control theory make an appearance, since as we shall see, one wants to look at the orbits of the holomorphic diffeomorphism group in the jet space. With good control over the jets of holomorphic diffeomorphisms, classical techniques from complex dynamics can be used to reveal a lot about the underlying structure of these complex manifolds with very large holomorphic diffeomorphism groups. The organization of the talk is as follows. We begin in section 2 by explaining the geometry behind the reasons one expects few complex manifolds to have very large holomorphic diffeomorphism groups. The basic obstruction is a generalization of the classical phenomenon of “Schwarz’s lemma”, i.e., the nondegeneracy of the so called Kobayashi pseudometric. We then go on, in section 3, to discuss holomorphic vector fields and Euler’s method, which lead naturally to the definition of the Density Property, a condition which rigorizes the notion of “largest possible” holomorphic diffeomorphism group. Finally, in section 4 we state results on the jets of holomorphic diffeomorphisms and numerous corollaries which are proved via techniques from complex dynamics. These corollaries reveal much about the underlying complex structure of these manifolds. As we shall see, although the situation where there are largest possible holomorphic diffeomorphism groups resembles in many ways the situation of (real) smooth manifolds, there still arise some rigidities, which again distinguish the complex case.
Clustering and multifacility location with constraints via distance function penalty methods and dc programming

ABSTRACT This paper is a continuation of our effort in using mathematical optimization involving DC programming in clustering and multifacility location. We study a penalty method based on distance functions and apply it particularly to a number of problems in clustering and multifacility location in which the centers to be found must lie in some given set constraints. We also provide numerical examples to test our method.
Likelihood inference for a class of latent Markov models under linear hypotheses on the transition probabilities

Summary. For a class of latent Markov models for discrete variables having a longitudinal structure, we introduce an approach for formulating and testing linear hypotheses on the transition probabilities of the latent process. For the maximum likelihood estimation of a latent Markov model under hypotheses of this type, we outline an EM algorithm that is based on well‐known recursions in the hidden Markov literature. We also show that, under certain assumptions, the asymptotic null distribution of the likelihood ratio statistic for testing a linear hypothesis on the transition probabilities of a latent Markov model, against a less stringent linear hypothesis on the transition probabilities of the same model, is of type. As a particular case, we derive the asymptotic distribution of the likelihood ratio statistic between a latent class model and its latent Markov version, which may be used to test the hypothesis of absence of transition between latent states. The approach is illustrated through a series of simulations and two applications, the first of which is based on educational testing data that have been collected within the National Assessment of Educational Progress 1996, and the second on data, concerning the use of marijuana, which have been collected within the National Youth Survey 1976–1980.
Reading Strategies and Hypertext Comprehension

The literature on assessing the cognitive processes involved in hypertext comprehension during the past 15 years has yielded contradictory results. In this article we explore a possible factor affecting this situation, mainly the fact that previous works did not control for the potential effects on comprehension of reading strategies in hypertext. In Experiment 1, results showed that reading strategies selectively affect the textbase and the situation model level. The number of different nodes read mainly affected the textbase, whereas the reading order influenced the situation model. In Experiment 2, the analysis of reading strategies replicated the effect of knowledge and coherence found in the literature on linear text comprehension (McNamara & Kintsch, 1996), but it was not replicated in hypertext. Low-knowledge participants learned more by following a high coherent reading order, whereas high-knowledge participants learned more by reading the hypertext in a low-coherence order. We discuss the theoretical and methodological consequences of this approach for the study of hypertext comprehension.
The Frontier Partitioner Algorithm : a Branch and Cut algorithm for Biobjective Integer Programming

We present an algorithm for finding the complete Pareto frontier of biobjective integer programming problems. The method is based on the solution of a finite number of integer programs, each of them returning a Pareto optimal point. The feasible sets of the integer programs are built from the original feasible set, by adding cuts that separate efficient solutions. Providing the existence of an oracle to solve suitably defined single objective integer subproblems, the algorithm can handle biobjective nonlinear integer problems, in particular biobjective convex quadratic integer optimization problems. Our numerical experience on a benchmark of biobjective integer linear programming instances shows the efficiency of the approach in comparison with existing state-of-the-art methods. Further experiments on biobjective integer quadratic programming instances are reported.
Phytoplankton Composition at Jeddah Coast-Red Sea, Saudi Arabia in Relation to some Ecological Factors

Phytoplankton succession in relation to some physico- chemical characters of some water bodies at Jeddah Coast (Saudi Arabia) was studied for one year (2004). The sampling program included four different areas, North Obhour, Technology area, Down Town area and South Jeddah Area. Water samples were analyzed for some physico-chemical parameters (Temperature, pH, S‰, Dissolved Oxygen (DO), Calcium (Ca +2 ) & Magnesium (Mg +2 ), Nitrite (NO2), Nitrate (NO3), Ammonia (NH3), Reactive Orthophosphate (PO4) and Reactive Silicate (SiO3) as well as phycological parameters (Phytoplankton communities and Chlorophyll a). The Jeddah Coast was found to be oligotrophic ecosystem in some areas, while some of these areas were mesotrophic with high phytoplankton density such as the Down Town and South Jeddah areas. The results showed that, the high phytoplankton density attaining the maximum of 2623.2 X 10 3 /m 3 at Down Town area during spring and the minimum of 118.7 X 10 3 /m 3 at Technology area during winter.
Modeling and Forecasting Crude Oil Price : Implications for the Nigeria ’ s 2013 Budget Proposal

This work is an attempt to forecast crude oil price for 2013 using Box and Jenkins Methodology. It is to advise Nigeria on the oil price benchmark for her budget using the Auto-regressive [AR (2)] model which is found to be most appropriate. The diagnostics tests show that the model is good. Based on the model, a forecast is conducted for year 2013, and it shows that the price level will be stable around $100. A benchmark of $80 per barrel is recommended given the nature and structure of the Nigerian economy (being solely oil-dependent) as well as given the expected vagaries in the international price of crude oil.
An Efficient Feature Selection based on Bayes Theorem, Self Information and Sequential Forward Selection

Feature selection is an indispensable preprocessing technique for selecting more relevant features and eradicating the redundant attributes. Finding the more relevant features for the target is an essential activity to improve the predictive accuracy of the learning algorithms because more irrelevant features in the original feature space will cause more classification errors and consume more time for learning. Many methods have been proposed for feature relevance analysis but no work has been done using Bayes Theorem and Self Information. Thus this paper has been initiated to introduce a novel integrated approach for feature weighting using the measures viz., Bayes Theorem and Self Information and picks the high weighted attributes as the more relevant features using Sequential Forward Selection. The main objective of introducing this approach is to enhance the predictive accuracy of the Naive Bayesian Classifier.
The Motivational Profiles and Perceptions of Schooling of Asian Students in Australia

Asian-background students are performing better than other groups within the Australian educational setting. In order to investigate the reasons for this achievement advantage, this study examines the motivational profiles of Asian-background and Anglo-background students in New South Wales Australia. The research utilises personal investment theory and self-concept theory to provide a research framework. 283 Asian-background and 887 Anglo-background students were administered the Inventory of School Motivation, the General Achievement Goal Orientation Survey, the Facilitating Conditions Survey, and the Academic Self Description Questionnaire. While the motivational and self-concept profiles of the two groups were surprisingly similar, there are core significant differences that help explain the Asian students’ achievement advantage. Asian-background students are highly task oriented and significantly more effort oriented, more competitive, praise and token oriented than the Anglo-background students. They have a significantly stronger sense of purpose for schooling and are more performance oriented. Asian-background students also have a stronger intention to go on to university and further study, value school and like school more than their Anglo peers. These results are consistent with those reported in earlier studies with Asian American students.
Biosurfactant Production by Bacillus cereus, B7 from Lubricant Oil Waste

The present study focused on studying the production of a biosurfactant (BS) from microbial origin. For this respect 12 bacteria and 6 fungi were isolated from different polluted sites in Egypt. Bacillus cereus B7 isolated from kitchen drainage tube gave the highest BS production using oil spreading and emulsification assay techniques. The maximum BS productivity by Bacillus cereus B7 was obtained at the following optimal conditions:, 30 ̊C, pH 5, 30h incubation at static condition, inoculum size of 19.36×106cfu; 0.5 mllubricant oil waste/25 ml medium(2%, V/V)as the sole C-source, NaNO3as N-source, Dl-α-Amino-n-butyric acid and 200ppm LiCl2,none of the tested C-sources and vitamins exhibited further productivity. The BS extracted with CHCl3:C2H5OH in a ratio 2:1. The organic phase was evaporated in a rotary evaporator to give a white powder. The produced BS exhibited antimicrobial activity against Candida albicans, Staphylococcus aureus and Pseudomonas aeruginosa with MIC 5, 5 and 2.5 μl, respectively. The BS gave a good potential application as emulsifier.
Kinetic Monte Carlo Models for Crystal Defects

Kinetic Monte Carlo algorithms have become an increasingly popular means to simulate stochastic processes since their inception in the 1960’s. One area of particular interest is their use in simulations of crystal growth and evolution in which atoms are deposited on, or hop between, predefined lattice locations with rates depending on a crystal’s configuration. Two such applications are heteroepitaxial thin films and grain boundary migration. Heteroepitaxial growth involves depositing one material onto another with a different lattice spacing. This misfit leads to long-range elastic stresses that affect the behavior of the film. Grain boundary migration, on the other hand, describes how the interface between oriented crystals evolves under a driving force. In ideal grain growth, migration is driven by curvature of the grain boundaries in which the boundaries move towards their center of curvature. This results in a reduction of the total grain boundary surface area of the system, and therefore the total energy of the system. We consider both applications here. Specifically, we extend the analysis of an Energy Localization Approximation applied to Kinetic Monte Carlo simulations of two-dimensional film growth to a three-dimensional setting. We also propose a Kinetic Monte Carlo model for grain boundary migration in the case of arbitrarily oriented face-centered cubic crystals.
COLLAGEN AS A BIOMATERIAL IN DENTISTRY

Collagen is the most abundant protein that holds the whole body together in humans. It is found in the skin, bones, muscles and tendons and provides a scaffold to give strength and structure. These are proteins of unique structure and function with wide distribution throughout the animal kingdom ranging from insects to man. They are the major fibrous protein of the connective tissue which constitute about 1/3rd of the total protein in the body. Collagen is a highly versatile material and extensively used in the field of medicine for the management of severe burns, non-healing ulcers, traumatic, surgical wounds and various cosmetic procedures. In dentistry collagen is found to have a good scope of improvement, as materials which are biocompatible and easily absorbed by the tissues are more acceptable than synthetic one’s. It has a proven rate of success in the field of dentistry as GTR membrane, Root conditioning agent, Haemostatic agent and wound dressing agent. This paper aims to present an overview of collagen, its structure, biocompatibility and also focuses on the applications in the field of dentistry.
Protective Role of Urtica Dioica on Testicular Torsion / Detorsion-Induced Ischemia-Reperfusion Injury in Rats

Methods: Total of 32 male Wistar albino rats were divided into 4 groups (8 animals per group) as follows: Group 1, sham-operated control group; Group 2, I/R group; Group 3, UD (250 mg/kg for 14 days) group; and Group 4, I/R+UD (250 mg/kg for 14 days) group. Testicular torsion was created by rotating the right testis 720o clockwise. Ischemia period was 5 hours and orchidectomy was performed after 5 hours of detorsion.
Does the Growth Acceleration Program Accelerate Growth

In this paper, we introduce the required time lag for the public investment to be turned into public capital (time-to-build process) in the neoclassical growth model, as well as distortionary tax rates that are adjusted according to the level of public debt. The purpose is to quantitatively isolate the macroeconomic effects of the increase in public investment observed in PAC (Portuguese acronym for Growth Acceleration Program). Depending on the time lag associated to the time-to-build process and the fiscal adjustment policy,PAC could have led to a GDP decrease between 0.2% and 0.4% in up to four years.
Association of the CYP 4 F 2 rs 2108622 genetic polymorphism with hypertension : a meta-analysis

Previous case-control studies on the relationship between the CYP4F2 gene rs2108622 polymorphism and hypertension have produced contrasting results. In this study, we aimed to further evaluate the relationship between the CYP4F2 gene rs2108622 polymorphism and hypertension. We selected four case-control studies related to the CYP4F2 gene rs2108622 polymorphism and hypertension by searching PubMed, EMBase, the Chinese Biomedical Literature Database, and the Wanfang database. We utilized the Cochran Q-test and the I2 index to measure the heterogeneity across studies. To merge the odds ratio (OR) and the 95% confidence interval (95%CI), we utilized the fixed and random-effect models during the analyses. The present study included 1878 patients with hypertension and 1512 healthy control subjects. By meta-analysis, we did not find any association of the CYP4F2 gene rs2108622 polymorphism with hypertension in either genotype or allele distribution [AA+AG vs GG: OR = 1.18, 95%CI (0.91-1.54), P = 0.21; GG+AG vs AA: OR = 0.91, 95%CI (0.80-1.05), P = 0.20; A allele vs G allele: OR = 1.04, 95%CI (0.93-1.16), P = 0.53]. We concluded that X. -H. Luo et al. 15134 ©FUNPEC-RP www.funpecrp. com.br Genetics and Molecular Research 14 (4): 15133-15139 (2015) the CYP4F2 gene rs2108622 polymorphism was not associated with hypertension.
Engineered Cationic Antimicrobial Peptides Containing Cholesterol InteractingMotifs to Target Viral Envelopes

In recent decades, efforts have been made to rationally design antimicrobial peptides (AMPs) for use as alternative antimicrobial therapeutics. The de novo engineered cationic antimicrobial peptide (eCAP) WLBU2 is a 24-residue peptide composed of arginine, tryptophan, and valine computationally sequenced to form an optimized amphipathic helix. Antimicrobial activity of WLBU2 is predicted to transpire through peptide interaction with lipid membranes leading to bilayer disruption. Antibacterial activity of WLBU2 has been demonstrated against a widerange of antibiotic resistant Gram-positive and Gram-negative bacteria. Natural antimicrobial peptides have been shown to inactivate enveloped viruses, albeit at higher peptide concentrations than required for bacterial killing. While viral envelopes do not have the same negative surface charge presumed to be the basis for antibacterial activity of WLBU2, most mammalian virus membranes are enriched for cholesterol relative to host cells. Based on this structural feature, WLBU2 was modified by addition of cholesterol recognition amino acid consensus (CRAC) motifs to increase antiviral activity against enveloped mammalian viruses. The CRAC-modified WLBU2 peptides were tested against human immunodeficiency virus (HIV), influenza A, and dengue virus (DENV) to assess antiviral activity against viruses with markedly different levels of surface lipid exposure and against mammalian cells to assess potential cytotoxicity. Antiviral activity was enhanced by the CRAC motif and demonstrated the highest efficacy against DENV and lowest against HIV, inverse to the level of surface membrane exposure. These studies reveal for the first time an unexpected range of engineered peptide activity against a broad group of different target viruses with vastly different membrane composures and indicate the ability of CRAC motif modification to enhance antiviral activity.
On the Theory of Entrepreneurial Incentives and Alertness

This paper analyzes the theory of “entrepreneurial incentives” in the work of Israel Kirzner. It argues that there is a logical problem with the notion of profit opportunities as exogenous causal agents: Without additional assumptions, the existence of opportunities alone does not sufficiently explain the alertness of entrepreneurs. The paper considers both stronger and weaker versions of this problem. It also questions the relation between entrepreneurial incentives and the tendency toward entrepreneurial success. Finally, it provides some commentary on the relevance of entrepreneurial incentives for an overall theory of the entrepreneur, and identifies several potential solutions to the problems discussed.
Yellow Epulis: A Case Report

Lipomas are defined as benign tumours of adipose tissue with unexplained pathogenesis and etiology. Lipomas and lipoma variants are common soft tissue tumors, but occur infrequently in the oral and maxillofacial region. Oral lipomas are slow enlarging, soft smooth surfaced mass of the submucosal tissues which may be sessile or pedunculated. The theories to explain the pathogenesis are heredity, fatty degeneration, hormonal, trauma, infection, metaplasia of muscle cells, lipoblastic embryonic cell nest in origin, chronic irritation and chromosomal aberrations. Histologically, classic lipomas are composed of mature adipose tissue with true lipoblasts showing no cellular atypia. Adipose tissues can be admixed with other mature benign mesenchymal tissues, thus necessitating subclassification. This article highlights a report of an intra-oral swelling in the right buccal mucosa, its diagnosis, including use of fluorescent visualization; management and histologic examination of the same along with post operation follow up.
Reliability of Conservation Actions Based on Elasticity Analysis of Matrix Models

Abstract: Matrix population models have entered the mainstream of conservation biology, with analysis of proportional sensitivities (elasticity analysis) of demographic rates becoming important components of conservation decision making. We identify areas where management applications using elasticity analysis potentially conflict with the mathematical basis of the technique, and we use a hypothetical example and three real data sets (Prairie Chicken [ Tympanuchus cupido], desert tortoise [Gopherus agassizii], and killer whale [Orcinus orca]) to evaluate the extent to which conservation recommendations based on elasticities might be misleading. First, changes in one demographic rate can change the qualitative ranking of the elasticity values calculated from a population matrix, a result that dampens enthusiasm for ranking conservation actions based solely on which rates have the highest elasticity values. Second, although elasticities often provide accurate predictions of future changes in population growth rate under management perturbations that are large or that affect more than one rate concurrently, concordance frequently fails when different rates vary by different amounts. In particular, when vital rates change to their high or low values observed in nature, predictions of future growth rate based on elasticities of a mean matrix can be misleading, even predicting population increase when the population growth rate actually declines following a perturbation. Elasticity measures will continue to be useful tools for applied ecologists, but they should be interpreted with considerable care. We suggest that studies using analytical elasticity analysis explicitly consider the range of variation possible for different rates and that simulation methods are a useful tool to this end.