Miracle-dz/UniFAR-FTUs huggingface dataset:
Density and size differences of symbiotic dinoflagellates from five reef-building coral species from Brazil

The objective of this study was to compare the density and size of symbiotic dinoflagellates (zooxanthellae) living in five species of scleractinian coral from Brazil: Agaricia agaricites, Favia gravida, Montastrea cavernosa, Porites astreoides and Siderastrea stellata. Approximately 10 colonies of each species were collected from Tamandaré and Gaibu beaches on the southern coast of Pernambuco State, Brazil, between August 1997 and April 1998 from depths of 0-4m. Densities of symbiotic algae were significantly lower in S. stellata than in any of the other species. Symbionts of M. cavernosa were significantly larger, and those of F. gravida significantly smaller, than symbionts from any of the other coral species. The results suggest that cell size may be a useful character in systematic studies of algal symbionts. Since symbiont density and cell diameter also vary in a host species-specific manner in some species, these characters may also be useful in scleractinian coral systematics. 1 Departamento de Sistemática e Ecologia, Universidade Federal da Paraíba, Campus I, João Pessoa, Paraíba 58059-900, Brazil. E-mail: fcosta@nepremar.ufpb. br 2 Universidade Federal Rural de Pernambuco. E-mail: claufern@novaera.com. br
Descriptive statistics for nonparametric models . The impact of some Erich Lehmann ' s papers

In this review we discuss the six papers: Lehmann (1963) and Bickel and Lehmann (1974, 1975, 1976a, 1976b, 1976c). The first paper deals with confidence intervals based on nonparametric tests, and the other papers discuss descriptive statistics for non12arametric models. In an estimation problem, sample statistics () may often be seen as values of a functional B(F) at the sample cumulative distribution function Fn. For example, for the sample mean X = ~ 2:::7= 1 Xi and sample variance S 2 = ~ 2:::7=1 (Xi X) 2 the functionals are the mean functional t-L(F) = J xdF(x) and variance functional rJ2(F) = j(xt-L(F))2dF(x), respectively. Under general assumptions on F, two functionals 81 (F) and B2(F) may give the same value (e.g., mean functional and median functional under the symmetry assumption) but the statistic~] properties (e.g. efficiency and robustness) of the sample statistics 81 = 81 (Fn) and 82 = ()2(Fn) may be totally different. How should one then choose between the estimates/functionals 81 (F) and B2(F)? When can one be convinced that, in wide nonparametric models, the functional provides a measure of a natural aspect of the population values? These questions are posed and discussed in the series of the last five papers.
THE INFUENCE OF BALANCED SCORECARD IMPLEMENTATION ON VALUE OF OIL COMPANY – THE CASE OF MOBIL CORPORATION

This paper presents the analysis of the impact of application of Balanced Scorecard in Mobil United States Marketing and Refining (USM&R) on the value of oil company Mobil Corporation. By verifying the hypothesis of the creators of the concept of Balanced Scorecard, R. Kaplan and D. Norton, on the occurrence of a significant improvement in profitability of Mobil USM & R, one of the divisions of Mobil Corporation, as a direct effect of the implementation of Balanced Scorecard, the author analyzes the results achieved by this division and by the entire enterprise, checking whether the implementation of the Balanced Scorecard had in fact a positive effect on profitability and value of the entire enterprise.
PERIURBAN TENURE MANAGEMENT IN SOUTH AFRICA

• In land proximate to urban areas, there is a mix of rural, industrial and urban land uses. • Different land tenure practices, range from individual ownership to traditional African land tenure, with continuum of hybrids and adaptations • Income levels, land values, land use and land parcel sizes vary considerably – “Merc & manure”, commercial & subsistence farming, informal settlements, low cost housing, traditional areas PERIURBAN ENVIRONMENT
AN EVALUATION OF THE ANDEAN CONDOR POPULATION IN NORTHERN ECUADOR

•'We evaluated the population structure of Andean Condors (Vulturgryphus) in the CotacachiCayapas and Cayambe-Coca Ecological Reserves, Ecuador. We conducted 1298 hr of fieldwork and made 496 condor observations. Age class and sex could be determined in 127 and 48 observations, respectively. The population consisted of 1:1 female to male ratio yet only 20% of our observations were of juveniles and subadults. The apparent skewed population structure suggested that the population may be declining.
Women Health, Maternal Health and HIV infection in West Africa

HIV infection in sub-Saharan Africa is a major public health threat particularly for girls and women ofreproductive age. The research presented in this thesis was conducted particularly in West Africa andthe specific objectives are i) to estimate the prevalence of intimate partner violence according to HIVserological status; ii) to estimate the incidence rate of pregnancy following ART initiation; iii) todetermine the effect of pregnancy after ART initiation on the risk of death, HIV-disease progressionand loss to follow-up. Firstly, in Togo, According to our findings, the prevalence rates of lifetimephysical and sexual violence (IPV) among HIV-infected women were significantly higher thanamong uninfected women (63.1 vs. 39.3%, p=0.01 and 69.7 vs. 35.3%, p=0.01, respectively). Secondly, Among HIV-infected West African women, the crude incidence of first pregnancy afterART initiation was 2.9 per 100 women-years [95% confidence interval (CI): 2.7 to 3.0] and it could beas high as 4.7 per 100 women-years (95% CI: 4.3 to 5.1) among women aged 25-29 years old. Finally,pregnancy after ART initiation appeared to reduce the risk of death or HIV-disease progression(Adjusted Hazard Ratio [aHR] =0.61; 95%CI: 0.40-0.92) and the risk of becoming LTFU at M48(aHR=0.74; 95%CI: 0.60-0.92) among West African HIV-infected women. Intimate partner violence ishighly prevalent among HIV-infected women and it may have negative repercussions on their healthstatus. Pregnancy is a common event after ART initiation and it might have repercussions on thehealth status of HIV-infected women. The design of safe motherhood programs addressed to HIVinfectedwomen and its integration within HIV care services must are a public health priority in sub-Saharan Africa.
Using Intervention Mapping to Breach the Cyber-Defence Deficit

It sometimes seems that every IT user is a combatant, engaged in a battle with multitudes of hackers across the globe. This battle is unevenly biased in favour of the hackers, because people routinely act in ways that open doors for hackers, thereby enabling their nefarious activities. If current approaches to raising security awareness were working the hackers would not be having as much success in attacking systems. It is time to reconsider how we design, formulate and deliver security awareness training. In this paper we propose using a technique borrowed from the health arena, “Intervention Mapping”, to target security awareness training more effectively. We detail the different phases of the methodology and give an example to show how it was applied to an SME. The purpose of this paper is to open a discourse in the community about how we can arrive at more effective awareness-raising endeavours.
Multispectral Deep Embeddings as a Countermeasure to Custom Silicone Mask Presentation Attacks

This work focuses on detecting presentation attacks (PA) mounted using custom silicone masks. Face recognition (FR) systems have been shown to be highly vulnerable to PAs based on such masks. Here we explore the use of multispectral data (color imagery, near infrared (NIR) imagery and thermal imagery) for face presentation attack detection (PAD), specifically against the custom silicone mask attacks. Using a new dataset (XCSMAD) representing 21 custom made masks, we establish the baseline performance of several commonly used face-PAD methods, on the different imaging channels. Considering thermal imagery in particular, our experiments show that low-cost thermal imaging devices are as effective in face-PAD as more expensive thermal cameras, for mask-based attacks. This result reinforces the case for the use of thermal data in face-PAD. We also demonstrate that fusing information from multiple channels leads to significant improvement in face-PAD performance. Finally, we propose a new approach to face-PAD of custom silicone masks using a convolutional neural network (CNN). On individual spectral channels, the proposed approach achieves state-of-the-art results. Using multispectral-fusion, the proposed CNN-based method significantly outperforms the baseline methods. The new dataset and source-code for our experiments is freely available for research purposes.
An Exploratory Study of DevOps Extending the Dimensions of DevOps with Practices

—Software-intensive companies constantly try to improve their software development process for better software quality and a faster time to market. The DevOps phenomenon emerged with the promise of easing the process of putting new software changes to production at a fast rate whilst also increasing the learning and innovation cycles of their products. However, the DevOps phenomenon lacks clear deﬁnition and practices, and this makes it difﬁcult for both researchers and practitioners to understand the phenomenon. In this paper, we focus on consolidating the understanding of DevOps and its practices as described by practitioners using multivocal literature and interviews. The study contributes to a scientiﬁc deﬁnition of DevOps and patterns of DevOps practices to help identify and adopt the phenomenon.
YAWNING CLASSIFICATION FRAMEWORK FOR DRIVER DROWSINESS DETECTION

As the facts depict drowsiness or fatigue is one of the major causes of road accident. Drowsiness impairs driver’s senses and the driver is not able to respond quickly resulting in higher risk of road accidents. Being a significant indicator of drowsiness, yawning detection has been explored in this paper. Many geometric and feature based methods have been previously proposed but they are sensitive to illumination, appearance variations such as skin color etc. Hence, effective feature extraction techniques are needed that extract good features in the presence of varying lightning conditions and further improve classification accuracy. Frequency domain feature extraction has not been used extensively in this area. In this paper, Local energy based shape histogram (LESH) has been implemented that extracts the features in the frequency domain, as a result it is insensitive to contrast and illumination. Support Vector machine (SVM) is a widely used machine learning tool because of its binary nature of classification and also efficiently classifying non-linear data. The proposed framework is evaluated on Yawdd database. A sensitivity of 100%, specificity of 94% and accuracy of 95% was achieved.
Blockchain and Artificial Intelligence Technologies for Balanced Foreign Trade: Replacing Exchange Function of Money

Today, the capitalist economy has entered into a dead end. Unemployment is expected to reach an unprecedented level due to the rise of automation and artificial intelligence technologies. The creation of excess fiat money will not be a remedy for the collapse of the capitalist economy. In the future, a new economic model open to government intervention will be needed. Moreover, if global monetary system collapses, government should find a solution to continue foreign trade in order to meet the needs of their citizens. Trade unions are classical means that increase trade among the member countries, but they cause imbalance in mutual trade volumes. The advent of blockchain and artificial intelligence technologies will bring an end to the obsolete and outdated foreign trade methods. These technologies will also lead to the emergence of balanced trade unions across countries. This paper focuses on defining a new system known as intelligent trade matrix, suggesting that this system will allow barter transactions between two countries without imposing any customs duty.
Advances in the optimized synthesis of biotechnologically valuable products from bio-engineered microbial cell factories

The constantly arising solicitousness for the environmental impact and the potential limitation of petroleum and gas resources has focused the commercial interest on the development of industrially viable microbial strains with fine-tuned physiological capabilities. Synthetic biology, metabolic and protein engineering have become progressively important and valuable platforms in the development of microbial cellular networks for the generation of various pharmaceuticals, chemicals, food ingredients, and biofuels through the conversion of renewable resources. However, despite the comprehensive optimization of the biosynthetic pathways, the mass concentration and the low production rates represent the major obstacles in the exploration of new production hosts, the synthesis of novel enzymatic catalysts of natural and unnatural reactions, and the development of more effective tools for functional proteomics and genomics. Therefore, innovative synthetic biology research and diversified genome engineering approaches are anticipated to play the principal role in the achievement of engineered microbes with robust phenotypes, higher yields, and productivity. Herein, we thoroughly present the nascent technologies in the advancement of bio-engineered microbial cell factories for the optimized synthesis of biotechnologically valuable products.
A Macro-Model to Monetary Transmission Analysis in Tunisia

In this paper, we develop a gap model based on a reduced form of the New Keynesian Model. The model offers various scenario structure tools which analyze the dynamics of key macroeconomic variables under diverse shocks and depicts their properties and historical decompositions. This framework rationalizes the monetary transmission mechanism as well as the effects of major shocks influencing the macroeconomic variables and can assess the role of monetary policy in reacting to observed and anticipated changes in inflation and other economic variables. This model provides a useful framework detailing monetary policy and helping policymakers mainly to react strongly to inflation.
Embracing Process : Developmental Change in Action

How do earlier forms of abilities give rise to new ones? This is a central question of developmental science, and one that underlies much of the work that is reported by Brakke and Pacheco (2019) in their inspiring monograph, The Development of Bimanual Coordination Across Toddlerhood. This monograph is of course about motor development, but it is also about something more. It addresses fundamental issues about where new competencies come from and how they build on old ones. Here, bimanual coordination serves as a model system to understand developmental change. The monograph documents how a focus on process in real time can illuminate change over developmental time. The work holds lessons for understanding not only motor development, but other domains of development as well.
Stochastic Methods for Neutron Transport Equation III: Generational Many-to-One and ktteff

The Neutron Transport Equation (NTE) describes the flux of neutrons over time through an inhomogeneous fissile medium. In the recent articles [5, 10], a probabilistic solution of the NTE is considered in order to demonstrate a Perron-Frobenius type growth of the solution via its projection onto an associated leading eigenfunction. In [9, 4], further analysis is performed to understand the implications of this growth both in the stochastic sense, as well as from the perspective of Monte-Carlo simulation. Such Monte-Carlo simulations are prevalent in industrial applications, in particular where regulatory checks are needed in the process of reactor core design. In that setting, however, it turns out that a different notion of growth takes centre stage, which is otherwise characterised by another eigenvalue problem. In that setting, the eigenvalue, sometimes called k-effective (written keff), has the physical interpretation as being the ratio of neutrons produced (during fission events) to the number lost (due to absorption in the reactor or leakage at the boundary) per typical fission event. In this article, we aim to supplement [5, 10, 9, 4], by developing the stochastic analysis of the NTE further to the setting where a rigorous probabilistic interpretation of keff is given, both in terms of a Perron-Frobenius type analysis as well as via classical operator analysis. To our knowledge, despite the fact that an extensive engineering literature and industrial Monte-Carlo software is concentrated around the estimation of keff and its associated eigenfunction, we believe that our work is the first rigorous treatment in the probabilistic sense (which underpins some of the aforesaid Monte-Carlo simulations).
Antioxidant Biosensor based on Deinococcus radiodurans Biofilm immobilized on Screen-printed Carbon Electrode ( SPCE ) Surface

Antioxidant biosensor based on D. radiodurans biofilm has been investigated in this research. The biofilm producing SOD enzymes were immobilized on SPCE surface. Optimization of experimental measurements were carried out by the response surface method. The optimum value obtained was at the buffer pH 7, suspension pH 6, and optical density (OD) 0.5. The morphology of SPCE surfaces was characterized by SEM. The optimum result was used to determinate analytical performance, including linearity, sensitivity, limit of detection (LOD), limit of quantity (LOQ), precision, selectivity, stability, and repeatability. Linearity was achieved in the xanthine concentration range of 0.1-0.6 mM with the equation y = 40.79x + 57.173 and R2 = 0.99. The apparent Michaelis-Menten constant KM was evaluated. It was found that the biosensor had a low KM of 40 μM. LOD and LOQ respectively 40.8 μM and 123.7 μM with sensitivity 40.79 μA mM. Precision showed that RSD was less than 5%. Stability was measured for 35 days and retained 90% of current for the period. Repeatability showed RSD ≤ 5%. The selectivity of this method still needs to increase. In conclusion, antioxidant biosensor based on D. radiodurans biofilm may be used to measure the capacity of antioxidant products practically. Keywords-antioxidant biosensor, biofilm, D. radiodurans, SOD, SPCE.
IoT-Based P 2 P Applications

Network applications deployed on IoT environments can provide various benefits. Since the environments are constructed with many kinds of IoT devices and there are huge number of IoT devices, it is not easy to search IoT devices have required resources or services. Though information management method based on pure peer-to-peer network model is a scalable management method, there are issues in order to apply the peer-to-peer information management method to applications on IoT environments. One of the issues is trade-off about the amount of search packets and path length between a source node and a destination node. For this issue, our proposal method enables peer-topeer applications to use information about delegate server and resources according to their degree of commonness by switching logical network layers. Effectiveness of the proposed system was evaluated by comparing both path length from a source node to a destination node and search hit rate. Prototype of the proposal system was implemented with APIs of existing peer-to-peer agent platform. The results showed followings. If scale of network is small, advantage of using logical network based on network distance can be expected. If scale of network is large, it is better to use both logical networks of network distance and contents trend.
Chapter 2 Gene Delivery to Cardiovascular Tissue

AAV Adeno-associated virus Ad Adenovirus CABG Coronary artery bypass graft CAR Coxsackie virus and adenovirus receptor CVD Cardiovascular disease EC Endothelial cells eNOS Endothelial nitric oxide synthase FGF Fibroblast growth factor FGFR1 Fibroblast growth factor receptor-1 FH Familial hypercholesterolemia HIV Human immunodeficiency virus HO-1 Heme oxygenase-1 HSPG Heparan sulfate proteoglycans HSV Herpes simplex virus iNOS Inducible nitric oxide synthase ITR Inverted terminal repeats LDL Low-density lipoprotein LDLR Low-density lipoprotein receptor MMPs Matrix metalloproteinases nNOS Neuronal nitric oxide synthase NO Nitric oxide
Houdini's Escape: Breaking the Resource Rein of Linux Control Groups

Linux Control Groups, i.e., cgroups, are the key building blocks to enable operating-system-level containerization. The cgroups mechanism partitions processes into hierarchical groups and applies different controllers to manage system resources, including CPU, memory, block I/O, etc. Newly spawned child processes automatically copy cgroups attributes from their parents to enforce resource control. Unfortunately, inherited cgroups confinement via process creation does not always guarantee consistent and fair resource accounting. In this paper, we devise a set of exploiting strategies to generate out-of-bandworkloads via de-associating processes from their original process groups. The system resources consumed by such workloads will not be charged to the appropriate cgroups. To further demonstrate the feasibility, we present five case studies within Docker containers to demonstrate how to break the resource rein of cgroups in realistic scenarios. Even worse, by exploiting those cgroups' insufficiencies in a multi-tenant container environment, an adversarial container is able to greatly amplify the amount of consumed resources, significantly slow-down other containers on the same host, and gain extra unfair advantages on the system resources. We conduct extensive experiments on both a local testbed and an Amazon EC2 cloud dedicated server. The experimental results demonstrate that a container can consume system resources (e.g., CPU) as much as $200\times$ of its limit, and reduce both computing and I/O performance of particular workloads in other co-resident containers by 95%.
P o S ( L H C P 2 0 1 8 ) 2 4 1 Top pair production cross sections at LHCb

The production and decay properties of the top-quark are sensitive to new physics in several scenarios beyond the Standard Model. LHCb is the only experiment where the top-quark can be studied in the forward region exploiting, therefore, production mechanisms different from ATLAS and CMS experiments. The first cross section measurement in the forward region has been performed at √ s = 7 and 8 TeV. The most precise determination at LHCb uses data collected at √ s = 13 TeV requiring final states with a b-jet and two leptons, muon and electron, coming from the W decay. A description of these measurements is provided together with comparison with theories.