Miracle-dz/UniFAR-FTUs huggingface dataset:
Reconstruction 3D d'objets sous-marins par asservissement visuel

Nos recherches menées dans le cadre du projet européen EXOCET/D1, sont nées du besoin d’avoir des outils adaptés pour l’exploitation des images de scènes sous-marines, en appliquant les techniques de vision par ordinateur. Notre but est de développer une méthodologie pour effectuer une reconstruction 3D de structures sous-marines, permettant de réaliser des mesures quantitatives tridimensionnelles. Dans cette optique, nous avons mené des actions de recherche portant sur l’utilisation de techniques d’asservissement visuel afin d’améliorer la reconstruction d’objets 3D. La technique développée permet de réaliser des trajectoires optimales en vue de réaliser une reconstruction précise. Nous utilisons un asservissement visuel à l’aide d’un système de stéréovision monté au bout du bras instrumenté d’un robot. La géométrie de la tête stéréo contraint la trajectoire suivie par les caméras.
The detection and antimicrobial susceptibility profile of Shigella isolates in and around Hyderabad, Telangana

Shigellosis is an important food borne pathogen of worldwide economic significance. Water is the most common vehicle for this infection in humans. It has been isolated from wide variety of foods such as beef, chicken, egg, millk, fish, vegetables and fruits. The object of this study was to determine Shigella antibiotic resistance pattern against the antibiotics such as ampicillin, erythromycin, ofloxacin, ciprofloxacin, azithromycin, chloramphenicol, tetracycline, co-trimaxazole, ceftriaxone and gentamicin. In this cross-sectional study, a total of 17 Shigella strains were collected from different specimens (farm water, milk, chicken and fish). The isolated strains showed resistance to ampicillin (82.3%), tetracycline (70.6%), erythromycin (47.1%), ofloxacin (47.1%), ciprofloxacin (41.2%), azithromycin (41.2%), chloramphenicol (35.3%), co-trimaxazole (17.7%), ceftriaxone (11.8%) and gentamicin (11.8%).
Receding horizon control of nonlinear systems

The receding horizon control strategy provides a relatively simple method for determining feedback control for linear or nonlinear systems; the method is especially useful for the control of slow nonlinear systems, such as chemical batch processes, where it is possible to solve, sequentially, open-loop, fixed-horizon, optimal control problems online. The authors show that receding horizon control stabilizes a wide class of nonlinear systems, extending the results of their previous paper, which require the finite-horizon value function to be continuously differentiable. <<ETX>>
A Synopsis of Format-Preserving Encryption

Format-preserving encryption (FPE) encrypts a plaintext of some specified format into a ciphertext of the same format—for example, encrypting a social-security number into a social-security number. In this survey we describe FPE and review known techniques for achieving it. These include FFX, a recent proposal made to NIST.
The influence of thermal extremes on coral reef fish behaviour in the Persian Gulf

Despite increasing environmental variability within marine ecosystems, little is known about how coral reef fish species will cope with future climate scenarios. The Arabian/Persian Gulf is an extreme environment, providing an opportunity to study fish behaviour on reefs with seasonal temperature ranges which include both values above the mortality threshold of Indo-Pacific reef fish, and values below the optimum temperature for growth. Summer temperatures in the Gulf are comparable to those predicted for the tropical ocean by 2090-2099. Using field observations in winter, spring and summer, and laboratory experiments, we examined the foraging activity, distance from refugia and resting time of Pomacentrus trichrourus (pale-tail damselfish). Observations of fish behaviour in natural conditions showed that individuals substantially reduced distance from refugia and feeding rate and increased resting time at sub-optimal environmental temperatures in winter (average SST = 21°C) and summer (average SST = 34°C), while showing high movement and feeding activity in spring (average SST= 27°C). Diet was dominated by plankton in winter and spring, while fish used both plankton and benthic trophic resources in summer. These findings were corroborated under laboratory conditions: in a replicated aquarium experiment, time away from refugia and activity were significantly higher at 28°C (i.e., spring temperature conditions) compared to 21 °C (i.e., winter temperature conditions). Our findings suggest that P. trichrourus may have adapted to the Arabian/Persian Gulf environment by downregulating costly activity during winter and summer and upregulating activity and increasing energy stores in spring. Such adaptive behavioural plasticity may be an important factor in the persistence of populations within increasing environmentally variable coral reef ecosystems.
Maintenance of fertility in the face of meiotic drive

Selfish genetic elements that gain a transmission advantage through the destruction of sperm have grave implications for drive male fertility. In the X-linked SR meiotic drive system of a stalk-eyed fly, we found that drive males have greatly enlarged testes and maintain high fertility despite the destruction of half their sperm, even when challenged with fertilising large numbers of females. Conversely, we observed reduced allocation of resources to the accessory glands that probably explains the lower mating frequency of SR males. Body size and eyespan were also reduced, which are likely to impair viability and pre-copulatory success. We discuss the potential evolutionary causes of these differences between drive and standard males.
Soroepidemiologia de Toxoplasma gondii em cães no estado do Rio de Janeiro

ABSTRACT. Cunha N.C. , Cordeiro M.D., Bravo S.A. C. , Matos P.C. M. , Almosny N.R. P. & da Fonseca A.H. [Seroepidemiology of Toxoplasma gondii in dogs in the State of Rio de Janeiro. ] Soroepidemiologia de Toxoplasma gondii em caes no estado do Rio de Janeiro. Revista Brasileira de Medicina Veterinaria 38(supl. 3): 114-121, 2016. Departamento de Saude Coletiva Veterinaria e Saude Publica, Faculdade de Veterinaria. Universidade Federal Fluminense, Vital Brazil, Niteroi, RJ, Brazil. E-mail: nathaliecunha@id.uff. br Toxoplasmosis is a serious public health problem worldwide as it can cause prenatal and neonatal morbidity and mortality in humans. Although dogs are not definitive hosts of T. gondii, they play an important role in the mechanical dissemination of oocysts. This study aimed to carry out a seroepidemiological investigation of anti-Toxoplasma gondii antibodies in domestic dogs from seven municipalities in the state of Rio de Janeiro, Brazil. A crosssectional epidemiological study was carried out to evaluate the profile of anti-Toxoplasma gondii IgG antibodies in dogs from canine sera from different municipalities in the state of Rio de Janeiro. The municipalities studied were Cachoeiras de Macacu, Guapimirim, Itaborai, Mage, Resende, Seropedica and Silva Jardim. The detection of antibodies of the IgG class anti-Toxoplasma gondii was performed using the indirect enzyme immunoadsorption (ELISA) assay and the statistical analyzes used were the chi-square test and the prevalence ratio. Of the 651 samples tested, 300 were reactive for T. gondii, representing a relative frequency of 46.08% of seroreactive dogs. It was concluded that dogs are good sentinels for evaluations of risk for occurrence of T. gondii, emphasizing those coming from rural areas and that there was no difference in the occurrence of serorreative dogs in front of different municipalities studies of the state of Rio de Janeiro.
The Impact of Glucose Variation on Human Astrocytes

2 Acknowledgements . 3 Table of contents . 4 List of figures . 12 List of tables . 16 Publications arising from this thesis . 18 Author’s declaration. 19 List of abbreviations . 20 Chapter 1 . 26 Introduction . 26 1.1 Diabetes mellitus . 27 1.1.1 Type 2 diabetes mellitus . 27 1.1.2 Type 1 diabetes mellitus . 29 1.2 Pancreas . 29 1.3 Glucose homeostasis . 30 1.3. 1 Glucose homeostasis: insulin release and action . 31 1.3. 2 Glucose homeostasis: glucagon release and action . 33 1.4 Central regulation of glucose homeostasis . 33 1.4. 1 Metabolism sensing neurons . 34 1.4. 2 Glucose sensing networks . 36 1.5 Complications of diabetes . 41 1.5. 1 Management of hyperglycaemia in diabetes . 41 1.5. 2 Acute effects of hypoglycaemia . 41 1.5. 3 Frequency of hypoglycaemia in T1DM and T2DM . 42 1.6 Counterregulatory response . 42
A Review On Green Cloud Computing

With the increasing call for green cloud, reducing energy consumption has been an important requirement for cloud resource providers not only to reduce operating costs, but also to improve system reliability. Dynamic voltage scaling (DVS) has been a key technique in exploiting the hardware characteristics of cloud datacenters to save energy by lowering the supply voltage and operating frequency. Cloud Computing is being used widely all over the world by many IT companies as it provides various benefits to the users like cost saving and ease of use. However, with the growing demands of users for computing services, cloud providers are encouraged to deploy large datacenters which consume very high amount of energy and also contribute to the increase in carbon dioxide emission in the environment. Therefore, we require to develop techniques which will help to get more environment friendly computing i.e. Green Cloud Computing.
A Wireless Sensor Networks Routing Algorithm Based on Data Features and Location Information

In wireless sensor networks, data aggregation is a vital technology to conserve energy. This paper has proposed a centralized data-aggregation-centric wireless sensor network routing algorithm—HRGD. Based on methods of hierarchical cluster analysis and extraction of node position and data characteristics, this algorithm has built routing architecture with greedy strategy. It can maximize data aggregation efficiency and remove redundant data. In this way, energy consumption in applications with relevant data characteristics can be reduced and therefore prolong the network life.
The Biology of Caves and Other Subterranean Habitats

Caves and other subterranean habitats with their often strange (even bizarre) inhabitants have long been objects of fascination, curiosity, and debate. The question of how such organisms have evolved, and the relative roles of natural selection and genetic drift, has engaged subterranean biologists for decades. Indeed, these studies continue to inform the general theory of adaptation and evolution. Subterranean ecosystems generally exhibit little or no primary productivity and, as extreme ecosystems, provide general insights into ecosystem function. The Biology of Caves and other Subterranean Habitats offers a concise but comprehensive introduction to cave ecology and evolution. Whilst there is an emphasis on biological processes occurring in these unique environments, conservation and management aspects are also considered. The monograph includes a global range of examples from more than 25 countries, and case studies from both caves and non-cave subterranean habitats; it also provides a clear explanation of specialized terms used by speleologists. This accessible text will appeal to researchers new to the field and to the many professional ecologists and conservation practitioners requiring a concise but authoritative overview. Its engaging style will also make it suitable for undergraduate and graduate students taking courses in cave and subterranean biology. Its more than 650 references, 150 of which are new since the first edition, provide many entry points to the research literature.
Expression patterns of GHRL, GHSR, LEP, LEPR, SST and CCK genes in the gastrointestinal tissues of Tibetan and Yorkshire pigs

The aim was to characterize the expression patterns of several genes in the gastrointestinal tracts of Tibetan pigs (TP) and Yorkshire pigs (YP) and to explore their correlation with digestion and growth difference of the two breeds. The body weights and growth of YP and TP were studied at 6, 12 and 24 weeks of age, and their plasma levels of ghrelin (GHRL), leptin (LEP), somatostatin (SST) and cholecystokinin (CCK) were determined by enzyme linked immunosorbent assay (ELISA). Blood and gastrointestinal sections (stomach, duodenum, jejunum, ileum, caecum and colon) were collected and assayed for mRNA expression of the six genes (GHRL, ghrelin receptor (GHSR), LEP, leptin receptor (LEPR), SST and CCK) by reverse transcription-qPCR (RT-qPCR). TP generally had higher mRNA expressions of GHSR, LEP, LEPR, SST and CCK genes compared to YP, and expressed lower levels of the GHRL gene in most tissues of the digestive tract. In both breeds, plasma levels of the expressed proteins were more closely correlated with the feed intake and growth than with mRNA levels of the target genes. Our data indicate that TP possess special gene expression patterns in the gastrointestinal tract compared to YP, which is consistent with its unique feed intake and adaptation to harsh environment.
Analysis of Correlation between Canopy Cover and Vegetation Indices

A canopy cover is geospatial information attributes that are commonly used in forestry and observation equipment allocation. However, it is extremely difficult to measure canopy cover ratio of all tree regions in the field, and tree’s leaves are continuously changed by season and climate. Hence, a remote sensing technique that makes it possible to obtain forestry information on broad areas within a short period of time has been considered. This study has attempted to investigate the reliability of the results obtained from canopy cover based on the vegetation index of mid-resolution images by performing regression analysis between Landsat Normalized Difference Vegetation Index (NDVI), which has a relatively broad image acquisition area, LAI and DMT and reference data for canopy cover extracted from high-resolution images. It shows that the relationship of canopy cover and NDVI is higher than that of canopy cover and LAI, DMT. The DMT is needed improving the accuracy and updating more frequently. It is also found that the pixel-based canopy cover extraction approach provides better correlation results than the segment-based approach.
Probabilistic Representation in Human Visual Cortex Reflects Uncertainty in Serial Decisions

How does the brain represent the reliability of its sensory evidence? Here, we test whether sensory uncertainty is encoded in cortical population activity as the width of a probability distribution, a hypothesis that lies at the heart of Bayesian models of neural coding. We probe the neural representation of uncertainty by capitalizing on a well-known behavioral bias called serial dependence. Human observers of either sex reported the orientation of stimuli presented in sequence, while activity in visual cortex was measured with fMRI. We decoded probability distributions from population-level activity and found that serial dependence effects in behavior are consistent with a statistically advantageous sensory integration strategy, in which uncertain sensory information is given less weight. More fundamentally, our results suggest that probability distributions decoded from human visual cortex reflect the sensory uncertainty that observers rely on in their decisions, providing critical evidence for Bayesian theories of perception. SIGNIFICANCE STATEMENT Virtually any decision that people make is based on uncertain and incomplete information. Although uncertainty plays a major role in decision-making, we have but a nascent understanding of its neural basis. Here, we probe the neural code of uncertainty by capitalizing on a well-known perceptual illusion. We developed a computational model to explain the illusion, and tested it in behavioral and neuroimaging experiments. This revealed that the illusion is not a mistake of perception, but rather reflects a rational decision under uncertainty. No less important, we discovered that the uncertainty that people use in this decision is represented in brain activity as the width of a probability distribution, providing critical evidence for current Bayesian theories of decision-making.
Modeling the Quality Needs of an Organzation's Software

Investments in information systems and the annual costs of running the systems are considerable. The utility of information systems thus becomes the ultimate quality requirement from the organization's point of view. Quality models are used to support the management of quality. Such models describe the characteristics of products and services and of processes. The measurement of quality is a means of controlling quality. The problem that organizations face when they become interested in improving and controlling the quality of their information systems is twofold: there are many quality models and measurement is considered difficult. We address this issue by linking a basic quality model with existing software metrics.We use a quality model, the SOLE model, which covers the interests of all the stakeholders in an organization. We show how to adapt the model to the specific needs of an organization, how to identify their special quality factors and break these down to the metrics level. The general input-process-output (IPO) method from system theory is applied in the construction process. We propose a do-it-yourself approach which offers organizations the flexibility to construct quality models to meet their own needs. The construction process is the emphasis of this paper, rather than a complete quality model.A fictive case study is used to illustrate the construction process. We have chosen project management as the problem area of our ``case" organization and adopt the waterfall model for the systems development process. Maintainability, a central quality factor in this context, is used as an example of detailing the model all the way from factors via criteria to metrics. The IPO method is introduced in sufficient detail to repeat the construction process based on the needs and interests of any organization.
Comparison analysis of spatial Domain and compressed Domain steganographic techniques

Steganography plays an important role in the past few years due to the increasing need for providing secrecy in an open environment like the internet. Many techniques are used to secure information such as Cryptography that aims to scramble the information sent and makes it unreadable while steganography is used to conceal the information so that no one can sense its existence. In most algorithms, to secure information both steganography and cryptography are used together to secure a part of information. Steganography has many technical challenges such as high hiding capacity and imperceptibility. In this paper we compared two proposed techniques, one with wavelet transforms and other with block truncation coding. First method hides secret data in the integer wavelet coefficients of the cover image with the optimum pixel adjustment (OPA) algorithm. The coefficients used are selected according to a pseudorandom function generator to increase the security of the hidden data. The OPA algorithm is applied after embedding secret message to minimize the embedding error. Second method hides information by Block truncation coding (BTC) by using two quantization levels and a bit plane. Here hiding capacity is independent of the compressed codes. Comparison between two techniques is done by Mean Square Error (MSE), Peak Signal to Noise Rate (PSNR), length of secret message and received hidden secret message.
PENGARUH KONSENTRASI PGPR (Plant Growth Promoting Rhizobakterium) TERHADAP PERTUMBUHAN DAN HASIL TANAMAN SELADA (Lactuca sativa L.)

Selada ( Lactuca sativa L.) merupakan sayuran daun yang sudah dikenal di Indonesia yang di manfaatkan sebagai lalapan dan penghias hidangan.selain itu jenis sayuran ini bisa membantu mengurangi resiko kanker, katarak, stroke , meringankan isomnia , dan mengurangi gangguan anemia. Penelitian ini bertujuan : 1) Untuk mengetahui pengaruh konsentrasi PGPR ( Plant Growth Promoting Rhizobakteria ) terhadap pertumbuhan dan hasil tanaman selada, 2) Untuk mengetahui konsentrasi PGPR yang tepat terhadap pertumbuhan dan hasil tanaman selada. Metode penelitian dilakukan dengan metode eksperimen menggunakan Rancangan Acak Kelompok (RAK) secara faktorial, yang terdiri atas satu faktor yaitu : Konsentrasi PGPR yaitu: A0 ( tanpa PGPR ), A1 ( 50 gram PGPR ), A2 ( 100 gram PGPR ), dan A3 ( 150 gram PGPR ). Variabel pertumbuhan dan hasil yang diamati adalah tinggi tanaman, lebar daun, jumlah daun dan bobot basah tanaman. Hasil penelitian menunjukkan bahwa konsentrasi PGPR berpengaruh nyata terhadap tinggi tanaman, lebar daun, jumlah daun dan bobot basah tanaman. Pertumbuhan dan hasil tanaman selada yang terbaik diperoleh pada perlakuan A2 (konsentrasi PGPR 100 gram/liter). Kata kunci : PGPR (Plant Growth Promoting Rhizobakterium, Selada
To improve ecological understanding, collect infection data

Ecologists seek to understand and predict how organisms respond to multiple interacting biotic and abiotic influences, an increasingly difficult task under anthropogenic change. Parasites are one of these biotic influences that are pervasive in natural systems and frequently interact with other stressors. Because they often have cryptic effects on their host organisms, their role in the distribution, abundance, composition, and dynamics of populations, communities, and ecosystems is easy to overlook. However, studies that neglect the role of parasitism may miss or misinterpret organismal responses to environmental change, hampering ecological predictions. We discuss case studies wherein the inclusion of parasite infection status altered the interpretation of ecological outcomes, and offer paths forward to make parasite data acquisition, analysis, and interpretation more accessible to ecologists. Given that parasites are responsive to environmental changes, timely attention to their influence on host responses is critical for accurately predicting future ecological states.
Weighted Sum-Rate Maximization in Wireless Networks: A Review

The weighted sum-rate maximization (WSRMax) problem plays a central role in many network control and optimization methods, such as power control, link scheduling, cross-layer control, network utility maximization. The problem is NP-hard in general. In Weighted Sum-Rate Maximization in Wireless Networks: A Review, a cohesive discussion of the existing solution methods associated with the WSRMax problem, including global, fast local, as well as decentralized methods is presented. In addition, general optimization approaches, such as branch and bound methods, complementary geometric programming, and decomposition methods, are discussed in depth to address the problem. Through a number of numerical examples, the applicability of the resulting algorithms in various application domains is demonstrated. The presented algorithms and the associated numerical results can be very useful for network engineers or researchers with an interest in network design.
A Segmentation Algorithm for Remote Sensing Imaging Based on Edge and Heterogeneity of Objects

Image segmentation is the fundamental technology used in object-oriented remote sensing image analysis. To improve on the approach of object-oriented image analysis for the extraction of ground objects of interest, a segmentation algorithm for remote sensing images based on edge and heterogeneity of objects has been proposed in this paper. Canny algorithm combined with a mathematical morphology operator is used first to detect the edge information of a remote sensing image. Then, based on edge and heterogeneity of images, homogenous regions are obtained by Fractal Net Evolution approach. Finally, the edge information is used as a constrain in region merging, the final segmentation results are acquired. In this paper, QuickBird data from a certain area of Kunming have been tested and compared with a multi-resolution segmentation algorithm in the eCognition platform. The experiment results show that the method can segment the remote sensing images effectively and precisely.