Miracle-dz/UniFAR-FTUs huggingface dataset:
Is ectoparasite burden related to host density ? Evidence from nearshore fish larvae off 3 central Chile 4 5

25 Variation in parasite populations may be temporal and/or spatial, related to 26 environmental factors, but it may also be due to differences in host-population density, 27 which is one of the main factors affecting the abundance of directly transmitted parasites. 28 Fish larvae and their ectoparasites were collected by ichthyoplankton samplings in a three29 year survey near the coast of central Chile. To estimate the variation of ectoparasite 30 abundance with fluctuations of host density, the prevalence and intensity of ectoparasites 31 (copepods and isopods) were calculated and compared with the density (larval fish 32 abundance standardized to 1000 m -3 ) of six species of nearshore fish larvae, belonging to 33 the families Gobiesocidae, Labrisomidae and Tripterygiidae. Copepods (Penellidae and 34 Caligidae) and isopods (Cryptoniscidae) were found to be parasitizing the fish larvae. The 35 pennellid copepods were the most prevalent ectoparasite, and clingfish Gobiesox 36 marmoratus (Gobiesocidae) was the most parasitized fish species (12.81%). The 37 ectoparasite burden of pennellids, caligids or isopods, separately, did not show any 38 correlation with larval densities of four fish species, Auchenionchus crinitus, 39 Auchenionchus microcirrhis, Sicyases sanguineus or Helcogrammoides chilensis. 40 Nonetheless, the prevalence and intensity of the pennellid copepods showed a significant 41 and positive correlation with the density of a gobisesocid species (G. marmoratus), whereas 42 the prevalence of pennellid copepods (5.10%) showed a significant but negative correlation 43 with the density of larval tripterygid fish (Helcogrammoides cunninghami). Ectoparasite 44 abundance is a result of a species-specific relationship with their hosts, but the evidence 45 found suggests no correlation between ectoparasite burden and host density in larval fishes 46 from coastal environments. 47
The Big Data-Driven Industrial CPS Real-Time Processing System Based on Storm

In industry 4.0, CPS will play a huge role in the industrial production and supply management [1-3]. CPS makes the industrial system more intelligent, making the subsequent salesbusinesses more data-oriented and intelligent. However, the industry environment produces large of data during the production process. How to deal with these huge data quickly and analyze meaningful value message becomes the core issue of CPS. In this paper, a real time processing system of CPS for industrial management system is proposed. The architecture is based on the characteristics of industrial management system and designed for solving the big stream data processing.
Issues in the Effectiveness of Early Exposure to Learning English in an EFL Environment

Since the Olympic Games will be held in Tokyo in 2020, there has been a growing interest not only in incorporating English in schools’ curricula but also in exposure to learning English from a younger age. In this paper, the author will discuss issues regarding early exposure to learning English from a Second Language Acquisition (SLA) point of view. This paper attempts to show the necessary ideas that need to be understood when making good decisions about English education in an EFL environment.
The Weakness of Baitul Mal Wat-Tanwil in Build Small Business Case Study in Riau Province KHAIDIR SAIB

The goal of the research is to identify the extent of the weaknesses and to identify factors that determine the effectiveness of the relevant operations. The problem of this study some Baitul Mal wat-Tamwil in the Riau district has a strategy of strength and it has shown its success in solving some of the problems of poverty and small business capital, but some Baitul Mal wat-Tamwil in some areas have not yet implemented it, as in the Kampar , Kuansing and Bandar Pekanbaru. Often small business settlement solutions cannot be achieved as Baitul Mal wat-Tamwil is inactive and disturbed.The methodology used in this study is the case study of qualitative methods. These are three commonly used data collection methods, such as 1) open interviews in depth, 2) direct observation and 3) written documents. The findings of this study found that Baitul Mal watTamwil found weaknesses in human resources, management and control systems.
Robust visual object tracking with interleaved segmentation

In this paper we present a new approach for tracking non-rigid, deformable objects by means of merging an on-line boosting-based tracker and a fast foreground background segmentation. We extend an on-line boosting- based tracker, which uses axes-aligned bounding boxes with fixed aspect-ratio as tracking states. By constructing a confidence map from the on-line boosting-based tracker and unifying this map with a confidence map, which is obtained from a foreground background segmentation algorithm, we build a superior confidence map. For constructing a rough confidence map of a new frame based on on-line boosting, we employ the responses of the strong classifier as well as the single weak classifier responses that were built before during the updating step. This confidence map provides a rough estimation of the object’s position and dimension. In order to refine this confidence map, we build a fine, pixel-wisely segmented confidence map and merge both maps together. Our segmentation method is color-histogram-based and provides a fine and fast image segmentation. By means of back-projection and the Bayes’ rule, we obtain a confidence value for every pixel. The rough and the fine confidence maps are merged together by building an adaptively weighted sum of both maps. The weights are obtained by utilizing the variances of both confidence maps. Further, we apply morphological operators in the merged confidence map in order to reduce the noise. In the resulting map we estimate the object localization and dimension via continuous adaptive mean shift. Our approach provides a rotated rectangle as tracking states, which enables a more precise description of non-rigid, deformable objects than axes-aligned bounding boxes. We evaluate our tracker on the visual object tracking (VOT) benchmark dataset 2016.
Laser Velocimetry in the study of the fluid dynamics of artificial organs

The study of cardiovascular implantable devices requires advanced techniques, owing to the importance of assuring the highest quality and continuity of functionment after implantation. It is sufficient to recall, with regard to this, that a heart valve opens up and closes approximately 40 million times per year, and that a prosthetic valve is designed to last well beyond the patient’s life expectancy. One of the main concerns of the clinical usage of heart valves is the turbulence associated to them, especially at peak systolic (diastolic) flow for the aortic (mitral) valve or during the leakage phase, for both mitral and aortic implants. Actually, turbulence in the blood stream has often been correlated with thrombogenesis [1] and hemolysis [2]. The latter problem, although relatively less frequent than the former in the current models of mechanical prosthetic heart valves (PHVs), is nevertheless something which needs an accurate study, since hemolysis cannot be controlled pharmacologically, as opposed to the case with thrombus formation (a strict regime of anticoagulants is strongly suggested for PHV recipients [2]). These clinical concerns prompted the FDA [4] to advocate the testing of PHVs at the maximum Reynolds number conditions, to investigate the worst case for turbulence production. The velocity measurements have to be very accurate and precise, in order to guarantee a reliable assessment of the blood damage associated with the use of such devices.
APPLICATION OF MACHINE LEARNING BASED RANDOM FOREST REGRESSOR IN IMAGE DEHAZING

: Low visibility causes haze in images due to fog or dust particles in the atmosphere. The haze causes color distortion and even blurring in the images captured. Machine learning approach has been considered to provide optimized haze removal results to generate higher quality images from where information can be extracted. In this context, machine learning-based random forest regressor algorithm along with post-processing techniques was proposed as a superior solution for de-hazing images and thereby generating higher quality images in comparison to other direct de-hazing methods.
Evaluation of Bacteriological Contamination of Agadir Seawater ( Southern Morocco ) : Impact on Copper Corrosion Resistance

In this work, we study the bacterial contamination of marine environment of Agadir city in southern Morocco and evaluation of its impact on copper corrosion resistance. This study was carried out by coupling of microbiological analysis techniques with that of corrosion measurement. Monthly periodic samplings (between October 2012 and September 2013) of sea water were carried out in Anza industrial zone (Z3). Thus, after each sampling, a study of the corrosion behaviour of copper was carried out. The electrochemical parameters such as corrosion potential (Ecor), corrosion current density (Icor) and charge transfer resistance (Rt) were evaluated. The results obtained show that seawater analyzed has a bacteriological pollution. The total mesophilic aerobic bacteria (TMAB), total coliform (TC), fecal coliform (FC) and sulfite-reducing bacteria (SRB) have been identified. The electrochemical parameters values were discussed. Correlation between corrosion rate of copper and the bacterial load was proposed.
EU enlargement : the social dimension Human capital and East-West imbalances

The year 2019 marks the 15th anniversary of the EU‘s Eastward enlargement, which incorporated the Visegrad Four, the Baltic Three and Slovenia into the European Union. But it also marks the 30th anniversary of the fall of the Berlin Wall and the great political transformation that opened the way to German but also all-European re-unification. Since the transitional recession of the early 1990s, the region’s strong growth potential has been consolidated by EU membership. However, the EU accession of East-Central European countries resulted in an imbalanced Single Market. The 2004 enlargement was different from previous ones in that the income disparity between new and old Member States was much more significant. Hence, the positions and strategies of Eastern members have to be scrutinised from the point of view of economic as well as social sustainability.
FORAMINIFERAL AND CALCAREOUS NANNOFOSSIL BIOSTRATIGRAPHY AND PALEOENVIRONMENTAL STUDIES OF SAA-1 AND SAA-3 WELLS , OFFSHORE NIGER DELTA

Biostratigraphic studies were carried out on the strata penetrated by SAA-1 and 3 wells in Niger Delta. A total of One hundred and fifty ditch samples from both wells were analyzed for their foraminiferal content and calcareous nannofossil with a view towards identifying biostratigraphic zones, age determination, correlating the wells and paleoenvironmental reconstruction. The study revealed two planktonic foraminiferal zones from SAA-1 well, Globigerinoides trilobus immaturus zone (N9-N10) and N8 zone and three zones were identified for SAA-3 well; (N11), Globigerinoides trilobus immaturus (N9-N10) and Globorotalia fohsi peripheroronda zone (N8). The calcareous nannofossils zones identified [Helicosphaera bramlettei and Helicophaera truempyi (NN1) and Cyclicargolithus floridanus and Helicophontosphaera ampliaperta (NN4) zones]. All the zones were dated Early to Middle Miocene age using the standard zonation scheme.
Radio Resource Management in LTE Networks : Load Balancing in Heterogeneous Cellular Networks

High demands on mobile networks provide a fresh opportunity to migrate towardsmulti-tier deployments, denoted as heterogeneous network (HetNet), involving a mix of cell types and radio access technologies working together seamlessly. In this context, network optimisation functionalities such as load balancing have to be properly engineered so that HetNet benefit are fully exploited. This dissertation aims to develop tractable frameworks to model and analyze load balancing dynamics while incorporating the heterogeneous nature of cellular networks. In this context we investigate and analyze a class of load balancingstrategies, namely adaptive handover based load balancing strategies. These latter were firstly studied under the general heading of stochastic networks using independent and homogeneous Poisson point processes based network model. We propose a baseline model to characterize rate coverage and handover signalling in K-tier HetNet with a general maximum power based cell association and adaptive handover strategies. Tiers differ in terms of deployment density and cells characteristics (i.e. transmit power, bandwidth, and path loss exponent). One of the main outcomes is demonstrating the impact of offloading traffic from macro- to small-tier. This impact was studied in terms of rate coverage and HO signalling. Results show that enhancement in rate coverage is penalized by HO signalling overhead. Then appropriate algorithms of LB based adaptive HO are designed and their performance is evaluated by means of extensive system level simulations. These latter are conducted in 3GPP defined scenarios, including representation of mobility procedures in both connectedstate. Simulation results show that the proposed LB algorithms ensure performance enhancement in terms of network throughput, packet loss ratio, fairness and HO signalling.
THE H-ANALYTIC SIGNAL

We consider the extension of the analytic signal concept known for real valued signals to the case of complex signals. This extension is based on the Quaternion Fourier Transform (QFT) and leads to the so-called H-analytic signal. After defining the H-analytic signal and giving some of its properties, we present a new notation for quaternions, named the polar Cayley-Dickson form, which allows the extension of instantaneous phase and amplitude for the H-analytic signal. Identification of the components of a complex signal are then performed through the analysis of its H-analytic signal. We illustrate these new ideas on simulations.
The Effectiveness of Different Assessment Techniques being used to Measure the Impact of Haptic Technologies on Dental Undergraduate Students' 3-D Perceptions, Motor and Clinical Skills

The growth of IT in higher education (HE) has led to an expanse of technology enhanced learning (TEL) courses at university level, many of these using IT-based resources such as on-line Virtual Learning Environments (VLEs), computer simulations and video-conferencing (McGill and Hobbs, 2007). There is also a widening use of IT to aid in the assessment of students’ learning in higher education although much of this is based on online multiple choice questions and focuses on summative assessment at the end of a particular course (Cox et al., 2008). However, although there is significant research into the benefits of formative assessment (Webb and Cox, 2007) much of this is with children in schools and there is relatively little evidence of the strengths and weaknesses of different formative and summative methods used in higher education. Formative assessment is essentially regarded as a qualitative exercise providing a feedback process to the learner, engaging the learner and teacher in acquiring a common understanding of what has been understood and helping the teacher to modify their teaching to take account of what has been learnt (Black and William, 1998). Using traditional methods, formative assessment in HE includes providing feedback to individual students during a clinical session amongst the students themselves and between tutor and student, challenging students with questions. The assessment research described in this paper is part of the hapTEl project (http://www.haptel.kcl.ac.uk), funded by the ESRC/EPSRC’s Teaching and Learning Research Programme’s Technology Enhanced Learning Phase (see http://www.tlrp.org/tel/). When students are using haptic work-stations then they will also receive feedback from the system itself, not only through the tactile experience but through the on-screen images which show them how well they have achieved the clinical task. There is therefore a need to research assessment methods to determine how effective different assessment techniques are and how these compare with the traditional formative and summative assessments used in most Dental Undergraduate courses.
Techniques for Characterizing the Data Movement Complexity of Computations

The execution cost of a program, both in terms of time and energy, comprises computational cost and data movement cost (e.g., cost of transferring data between CPU and memory devices, between parallel processors, etc.). Technology trends will cause data movement to account for the majority of energy expenditure and execution time on emerging computers. Therefore, computational complexity alone will no longer be a sufficient metric for comparing algorithms, and a fundamental characterization of data movement complexity will be increasingly important. In their seminal work, Hong & Kung proposed the red-blue pebble game to model the data movement complexity of algorithms. Using the pebble game abstraction, Hong & Kung proved tight asymptotic lower bounds for the data movement complexity of several algorithms by reformulating the problem as a graph partitioning problem. In this dissertation, we develop a novel alternate graph min-cut based lower bounding technique. Using our technique, we derive tight lower bounds for different algorithms, with upper bounds matching within a constant factor. Further, we develop a dynamic analysis based automated heuristic for our technique, which enables automatic analysis of arbitrary computations. We provide several use cases for our automated approach. This dissertation also presents a technique, built upon the ideas of Christ et al. [15], to derive asymptotic parametric lower bounds for a sub-class of computations, called ii affine computations. A static analysis based heuristic to automatically derive parametric lower bounds for affine parts of the computations is also presented. Motivated by the emerging interest in large scale parallel systems with interconnection networks and hierarchical caches with varying bandwidths at different levels, we extend the pebble game model to parallel system architecture to characterize the data movement requirements in large scale parallel computers. We provide interesting insights on architectural bottlenecks that limit the performance of algorithms on these parallel machines. Finally, using data movement complexity analysis, in conjunction with the roofline model for performance bounds, we perform an algorithm-architecture codesign exploration across an architectural design space. We model the maximal achievable performance and energy efficiency of different algorithms for a given VLSI technology, considering different architectural parameters.
THE MARINE PLASTIC DEBRIS PROBLEM OFF SOUTHERN AFRICA : TYPES OF DEBRIS , THEIR ENVIRONMENTAL EFFECTS , AND CONTROL MEASURES

Plastic debris is a global marine pollutant which is inflicting ever-increasing environmental and financial costs. In the seas off southern Africa and the adjacent Southern Ocean, entanglement has been recorded for at least 5 species of marine mammals, 13 seabird species, 2 turtles, and 6 shark species. Plastic ingestion has been recorded from. 7 marine mammal species, 36 seabird species, 2 marine turtle species, and 7 shark species. The incidence in invertebrate taxa is not known. At present, entanglement does not pose a threat to the survival of any populations off southern Africa, but the recent introduction of a driftnet fishery to the South Atlantic and Indian Oceans and the suffering frequently associated with entanglement are causes for concern. By contrast, ingestion of plastic particles may adversely affect almost the entire population of species that do not regurgitate indigestible objects, with large, accumulated plastic loads reducing feeding efficiency or obstructing the digestive tract. Off southern Africa, generalist, surface-feeding, pelagic taxa such as certain procellariiform seabirds (petrels and albatrosses) and juvenile marine turtles are at risk from plastic ingestion. The incidence of ingested plastic in some species exceeds 90% of the population. The major financial cost of marine plastic debris is the reduced aesthetic appeal of coastal areas, which adversely affects the tourist industry. In South Africa alone, approximately R10 million is spent annually on cleaning beaches, where plastic makes up more than 90% of all stranded debris. To address the problem of marine debris requires knowledge of the sources of various pollutants. Beach surveys readily assess the most abundant types of plastic debris, and from these data their sources can be inferred. Disposable packaging accounts for more than half the large plastic objects on southern African beaches, with most of the remainder composed of fishing gear. Sheet plastic (bags and wrappings) is the most abundant single type of plastic. Among small particles, virgin industrial pellets and fragments of other products predominate. In R. S. Shomura and M. L. Godfrey (editors), Proceedings of the Second International Conference on Marine Debris, 2 7 April 1989. Honolulu, Hawaii. U.S. Dep. Comer. , N O M Tech Memo. NMFS, NOAA-TM-NMFS-SWFSC-154. 1990.
Accelerating Skycube Computation with Partial and Parallel Processing for Service Selection

Recently researchers use skyline techniques to optimize service selection procedure, where they can filter those low-quality web services from the large amount of candidates and return a much smaller high-quality service set. The skycube concept is adopted for quickly responding to the skyline queries with different combinations of Quality of Web Service (QoWS) parameters. As the skycube computation is quite time-consuming, it is a compelling challenge to accelerate this procedure. However, the current solutions usually have a number of redundant computations which will significantly affect the efficiency. To address such drawbacks, after an in-depth analysis of skycube computation procedure, we introduce a partial skycube, which only consists of the skylines with frequently used combinations of QoWS. Then the computational relationships between the skyline on one subspace and its parent-space are studied. Based on the relationships, we develop <inline-formula><tex-math notation="LaTeX">${\sf {ParCube}}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">ParCube</mml:mi></mml:math><inline-graphic xlink:href="dong-ieq1-2762681.gif"/></alternatives></inline-formula> algorithm to speedup partial skycube computation by reusing the intermediate comparison results. Meanwhile, at the execution phase, <inline-formula><tex-math notation="LaTeX">${\sf {ParCube}}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">ParCube</mml:mi></mml:math><inline-graphic xlink:href="dong-ieq2-2762681.gif"/></alternatives></inline-formula> can be further optimized with parallel execution mode and optimized scheduling strategy. Finally, we evaluate the efficiency and scalability of <inline-formula><tex-math notation="LaTeX">${\sf {ParCube}}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">ParCube</mml:mi></mml:math><inline-graphic xlink:href="dong-ieq3-2762681.gif"/></alternatives></inline-formula> on both single machine and cluster environment. The results show that <inline-formula><tex-math notation="LaTeX">${\sf {ParCube}}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">ParCube</mml:mi></mml:math><inline-graphic xlink:href="dong-ieq4-2762681.gif"/></alternatives></inline-formula> can efficiently compute partial skycube and scale well in cluster environment.