Miracle-dz/UniFAR-FTUs huggingface dataset:
Interaction of HIV and pregnancy on iron metabolism in Côte d ' Ivoire 1 BLEYERE

Background: HIV affects several women of reproductive age in developing countries. In addition, this virus and pregnancy have a real impact on iron metabolism in infected subjects. Objective: An association between HIV and pregnancy could be a factor affecting iron metabolism in women of childbearing age. These investigations are therefore intended to identify and characterize a possible interaction of HIV and pregnancy on iron status in population of Abidjan (Côte d'Ivoire). Methods: This work was a prospective, descriptive, analytical, cross-sectional and case-control study. It covered 270 women of reproductive age in all trimesters of pregnancy and in consultation to integrated centre for bioclinical research of Abidjan (ICBRA). These subjects were divided into two groups: 130 pregnant women and 140 apparently healthy pregnant women infected with HIV and on antiretroviral therapy. All biological indicators of metabolism were determined through blood samples from each of pregnant women. The Student t test, factor analysis of variance (ANOVA) with two factors and the G test or log Likelihood ratio test with the software programs Statistica Statsoft Windows version 7.1 and R.2. 0.1 Windows version were used for the statistical analyzes. Results: Analysis of data showed that pregnant women infected with HIV reported a significant deterioration of their iron status (92 %) against 79.2 % in pregnant control women. Infected women presented overload iron stores during the three trimesters of pregnancy (20 %. 13.3 % and 10 % respectively. Conversely, control women indicated at the end of pregnancy a significant deficit in iron (82 %). in this sense. infected women revealed strong inflammatory anaemia during the three trimesters of pregnancy compared to controls. These controls on the contrary indicated a significant prevalence of iron deficiency anaemia in the last two trimesters and inflammatory anaemia with iron deficiency during the first two trimesters of pregnancy. Conclusion: HIV and pregnancy degrade iron metabolism in women of childbearing age. This could be explained by the diet of women and more specifically by antiretroviral therapy.
Binaural dynamic responsiveness in concert halls

The standard objective parameters aim to describe the linear effects of concert hall acoustics to an arbitrary excitation signal. However, neither the music signals from acoustic instruments nor the spatial hearing by the listener behave linearly. For instance, louder playing disproportionately excites higher harmonics more than harmonics near the fundamental frequency, resulting in a different tone color. Moreover, binaural directional hearing emphasizes high frequencies more when the sound arrives from the sides of the head rather than from the median plane. These premises lead to a hypothesis that the perceived dynamic range of identical performances varies between different concert halls. It is possible that concert halls that better convey musical dynamic changes would be preferred. This paper presents facts that contribute to the non-linear behavior in otherwise linear concert halls.
Shift invariant preduals of ` 1 ( Z )

As a Banach space, `1(Z) admits many non-isomorphic preduals, for example, C(K) for any compact countable space K, along with many more exotic Banach spaces. In this paper, we impose an extra condition: the predual must make the bilateral shift on `1(Z) weak∗-continuous. It is known that in this case, aside from c0(Z), there are no preduals of the form C0(K). We provide an explicit construction of an uncountable family of distinct preduals which do make the bilateral shift weak∗-continuous. Using Szlenk index arguments, we show that merely as Banach spaces, these are all isomorphic to c0. We then build some theory to study such preduals, showing that they arise from certain semigroup compactifications of Z. This allows us to produce a large number of other, slightly less concrete, examples, including non-isometric preduals, and preduals which are not Banach space isomorphic to c0.
Using Big Data in Healthcare

The healthcare sector is undergoing fundamental changes recently. The vision of transforming the healthcare system from a treatment-oriented system to a patient-centered system based on prevention, ubiquitous monitoring and continuous multi-level support is considered to be a key point towards the improvement of the provided services and the reduction of healthcare costs, mainly attributed to the expected reduction in the number of hospitalizations. Throughout the new pathways, data volume and complexity are increasingly augmenting and require the use of the emerging big data analytics technologies in order to be significantly exploited. Health and social care services integration, continuity of care to the home, behavioral analysis and remote monitoring based on sensing devices are just a few elements of the new generation healthcare domain that all lead to the management of large, complex and frequently heterogeneous data. In this chapter, the authors will summarize the trends of the modern healthcare ecosystem and present the current application categories, as well as challenges posed, concerning the high volume, variety and velocity healthcare data manipulation.
Operating a wide-area high-availability collaborative remote observing system for classically-scheduled observations at the W. M. Keck Observatory

For over a decade, the W. M. Keck Observatory’s two 10-meter t l scopes have been operated remotely from its Waimea headquarters. Over the last 9 years, WMKO remote observing h as expanded to allow observing teams at dedicated sites located across California to observe via the Internet eithe r in collaboration with colleagues in Waimea or entirely fro m California; this capability was extended to Swinburne Univ ersity in Melbourne, Australia in 2010 and to Yale Universit y in New Haven, Connecticut in early 2011. All Keck facility science instruments are currently suppor ted. Observers distributed between as many as four sites can collaborate in the interactive operation of each instru ment by means of shared VNC desktops and multipoint video and/or telephone conferencing. Automated routers at prima ry remote observing sites ensure continued connectivity du ring Internet outages. Each Keck remote observing facility is similarly equipped a nd configured so observers have the same operating environment. This architecture provides observers the flexibil ity to conduct observations from the location best suited to their needs and to adapt to last-minute changes. It also enhances t he ability of off-site technical staff to provide remote sup port.
Robust Character Segmentation and Recognition Schemes for Multilingual Indian Document Images

ABSTRACT This paper presents robust methods for character segmentation and recognition for multilingual (Latin and Devanagari) Indian document images. The documents degraded over the years because of text diffusion, layout structures, and intermixed texts (printed and handwritten). In character segmentation algorithm, initially, pre-processing like noise and non-uniform illumination reduction is performed. Segmentation columns between characters are obtained using their structural properties. In addition, graph distance theory is used to separate touched and overlapped characters. Finally, support vector machine classifier is employed to validate the segmentation results. For character recognition, set of features based on geometrical properties of the characters are proposed. First feature is formed using center pixel of each non-overlapping block, whereas second feature is a vector of cut points calculated in the triangular areas of the character. Apart from these features, one more feature is used that contains neighborhood information of text pixels. Comprehensive experiments are performed on publicly available databases along with the database collected by us. Benchmarking analysis shows that highest segmentation and recognition accuracies are obtained 98.79% and 99.6%, respectively.
Aalborg Universitet Efficient indexing of hashtags using bitmap indices

The enormous amounts of data being generated regularly means that rapidly accessing relevant data from data stores is just as important as its storage. This study focuses on the use of a distributed bitmap indexing framework to accelerate query execution times in distributed data warehouses. Previous solutions for bitmap indexing at a distributed scale are rigid in their implementation, use a single compression algorithm, and provide their own mechanisms to store, distribute and retrieve the indices. Users are locked to their implementations even when other alternatives for compression and index storage are available or desirable. We provide an open source, lightweight, and flexible distributed bitmap indexing framework, where the mechanisms to search for keywords to index, the bitmap compression algorithm used, and the key-value store used for the indices are easily interchangeable. We demonstrate using Roaring bitmaps for compression, HBase for storing key-values, and adding an updated version of Apache Orc that uses bitmap indices to Apache Hive that although there is some runtime overhead due to index creation, the search of hashtags and their combinations in tweets can be greatly accelerated.
Limits for Computational Electromagnetics Codes Imposed by Computer Architecture

The algorithmic complexity of the innermost loops that determine the complexity of algorithms in computational electromagnetics (CEM) codes are analyzed according to their operation count and the impact of underlying computer hardware. As memory chips are much slower than arithmetic processors, codes that involve a high data movement compared to the number of arithmetic operations are executed comparatively slower. Hence, matrix-matrix multiplications are much faster than matrix-vector multiplications. It is seen that it is not sufficient to compare only the complexity, but also the actual performance of algorithms to judge on faster execution. Implications involve FDTD loops, LU factorizations, and iterative solvers for dense matrices. Run times on two reference platforms, namely an Athlon 900 MHz and an HP PA 8600 processor, verify the findings.
The effect of curvature of microbeam and electrode on the snap-through and pullin instabilities

Due to the pull-in instability, the sustainability of micro-electro-mechanical systems are vulnerable. One of the proposed mechanism to improve the stability of these systems is the use of curved microbeams. The curvature causes the snap-through phenomenon by which the microbeam moves to its second stable position. Despite the advantages of snap-through, sometimes it leads to unstable conditions. In order to use the merits of curved structure and avoid the snap-through effect, in the present study, the performance of a structure composed of curved electrode is investigated. By assuming the Euler-Bernoulli beam theory and based on the modified couple stress theory, the governing equation is obtained by using the Hamilton’s principle. This equation is converted to a nonlinear ordinary differential equation by using the reduced-order model based on Galerkin procedure. The numerical solution is formulated and obtained by using the MATLAB software. The performance of the systems composed of curved microbeam and curved electrode are compared with each other, as well as with the systems made of straight elements. The results show that in cases where snap-through may cause unstable conditions, the use of curved electrode can result in more sustainable behavior in a wider range of position and voltage levels.
Effect of Subclinical and Clinical Mastitis on AST & ALT Alteration in Sheep Milk

Mastitis is a term which denotes inflammatory condition of the udder irrespective of cause. As such mastitis is recognized as one of the most costly disease affecting the dairy animals. Therefore, early detection of the disease is important to facilitate its early treatment in order to minimize further udder damage and financial losses to the farmers. India ranks sixth among the countries of the world in respect to sheep population. Sheep milk is relished and consumed more as compared to the milk from goats. About two per cent of the total milk consumed by the human population is from sheep [1]. In Western countries sheep milk is also processed for preparation of cheese and milk products [2]. The udder health is closely related to the milk production of the animal. Udder of sick animals was ascribed to decrease the milk production up to 55% in ewes [3]. Udder health status particularly, of ewes has received a very limited scientific attention. Health of the udder not only alters the nutritional quality but also changes the biochemical profile of milk, affecting thereby the health of consumers, both lambs and human beings [4]. In the recent years, although attention has been given for the diagnosis of subclinical mastitis by direct test like California Mastitis Test (CMT), however, their accuracy and sensitivity vary from person to person. Milk of normal healthy sheep contains a wide variety of enzymes. These enzymes are secreted by the epithelial cells of mammary gland. In mastitis, muscle and tissues of mammary gland are damaged which may lead to increase in the release of these enzymes in milk [5]. In the present work an attempt has been made to investigate the enzymatic alteration i.e. AST, ALT, pH and SCC in sheep milk related to udder health status for detection of subclinical mastitis and udder diseases.
Microstrip Patch Antenna Design at 2 . 45 GHz and Efficiency Measurement Using Reverberation Chamber

This paper presents antenna efficiency result of a rectangular patch antenna by using reverberation chamber (RC). A microstrip patch antenna was designed and fabricated. The measurement results show that the patch antenna efficiency at 2.468 GHz is around 80%. These results show good agreement between the simulated values and experiment results.
EFFECTS OF COMMERCIAL FORMULATIONS OF DICOFOL ( COLONELS ) AND DELTAMETHRIN ( DECIS ® ) ON CHICK EMBRYO SURVIVABILITY AND ACETYLCHOLINESTERASE ACTIVITY OF BRAIN

The effects of external exposure of chick (Gallus domesticus) eggs to dicofol and deltamethrin were examined using those commercial formulations which are used extensively throughout in India for the agricultural purposes. Fertilized eggs were immersed in various dose concentrations of each insecticide for 60 min at 37 ° C on prior to incubation, 4 th and 7 th day of incubation. The applied concentrations of each insecticide were 12.5, 25 and 50 mg L -1 of deltamethrin formulation and 250, 500 and 1000 mg L -1 of dicofol formulation. Sampling of all the treated embryos was done on embryonic day 16. The result revealed that administration of deltamethrin prior to incubation showed significant increase in percent mortality at concentrations of 25 mg L -1 and 50mg L -1 when compared with controls. No significant (p≥0.05) increases in percent mortality were observed in embryos treated with these insecticides on 4 th and 7 th day of incubation. Further, brain AChE activity of treated embryos was not affected by either of these insecticides on exposure to any of the critical periods.
DOES GEOGRAPHICAL LOCATION MATTER ? ASSESSING SPATIAL PATTERNS IN PERCEIVED QUALITY OF LIFE IN EUROPEAN CITIES

The Quality of Urban Life is one of the most important issues of the present policies, being highly researched. The spatial dimension of this concept is still a major challenge for both researchers and policy makers as it was not enough explored and applied. Therefore, the present paper aims to create a more in-depth image on the Quality of Urban Life in Europe, by detecting and explaining the spatial differences in relation to their territorial context. Spatial statistics applied on Urban Audit Data is employed to create a typology of European cities, to identify spatial outliers by using spatial autocorrelation and to map the regional differences in the relationship between different domains of the Quality of Urban Life. Our results bring to light both some clear regional patterns in perception on the Quality of Urban Life and some particular cases outliers – which require special attention when developing different planning policies. The present research identifies a dominant West-East and North-South gradient, strengthening the idea that QoULwhich has a wide spatial variationis highly influenced by the geographical location. Hence, the study not only creates a general in depth diagnosis on the Quality of Urban Life in Europe, but also proposes a methodological framework for researching perceptions from a spatial point of view.
A Low Mutual Coupling Antenna Array with Gain Enhancement Using Metamaterial Loading and Neutralization Line Structure

─ A MIMO antenna array with high isolation and gain enhancement operating at 5.7 GHz is proposed by using a metamaterial and neutralization line for wireless local area network (WLAN) communication system. A suspended meta-surface consisted of periodic metamaterial cells is installed on the top of the MIMO antenna array to realize a gain enhancement, while the low correlation is implemented by using the neutralization line decoupling structure which is adopted on the feeding lines. The proposed MIMO array is modeled in the HFSS, and it is well analyzed, optimized, fabricated, and measured to discuss its performance. The obtained results demonstrate that the proposed MIMO antenna array can cover the upper WLAN band with a gain enhancement of 3dB and mutual decoupling of 30dB in the operating band with an efficiency of 68%. Index Terms ─ Gain enhancement, MIMO antenna array, mutual decoupling, WLAN.
Scalable Training of Deep Learning Models on Cloud Infrastructures

In this Master’s thesis we focus on deploying and provisioning in an unattended and distributed way a set of nodes that conduct the training of a deep learning model. To this end, the deep learning framework TensorFlow will be used, as well as the Infrastructure Manager that allows us to deploy complex infrastructures programmatically. The final infrastructure should consider: data handling, model training using this data, and the persistence of the trained model. For this purpose, it will be used public Cloud platforms such as Amazon Web Services (AWS) and General-Purpose Computing on Graphics Processing Units (GPGPU).
Molecular typing of methicilin resistant Staphylococcus aureus by spa gene polymorphism

The aim of this study was to detect different genotypes of methicillin resistant Staphylococcus aureus (MRSA) by using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) of the spa gene in Cairo University hospital. A total of 48 samples were obtained from the sputum, infected wound, blood and pleural fluid from Cairo University hospital from the main microbiology laboratory for three month duration, they were then processed, cultured and subsequently susceptibility test was performed using disc diffusion method. The strains were investigated by cefoxitin 30 μg disk diffusion method. PCR was used to detect mecA gene, and to amplify sequence of spa gene, and the PCR products were analyzed by PCR-RFLP usingHaeII restriction enzyme. A total of 48 samples were obtained from the sputum, infected wound, blood and pleural fluid from Cairo University hospital from the main microbiology laboratory for three month duration. 37 (77%) isolates were resistant to cefoxitin, all tested isolates gave PCR positive for mec A gene, PCR-RFLP of the spa gene showed 18 (37.5%) isolates with pattern I, one of them showed pattern I, II, IV together. 8 (16.6%) isolates showed pattern II, one of them showed pattern I, II, IV; 9 (18.7%) isolates showed pattern III, 3 (6.2%) isolates showed pattern IV; one of them showed pattern I, II, IV; 8 (16.6%) isolates showed pattern V. 2 (4%)isolates were negative, and 1 isolate showed bands at 243, 667, 715 and 811 bp, 1 isolate showed bands at 243, 264 and 739 bp. PCR-RFLP typing method is a good practical tool in routine epidemiological surveillance. It's easy in performance and interpretation, and it can replace PFGE which is time-consuming and expensive.
1 The Successive Zooming Genetic Algorithm and Its Applications

Optimization techniques range widely from the early gradient techniques 1 to the latest random techniques 16, 18, 19 including ant colony optimization 13, 17. Gradient techniques are very powerful when applied to smooth well-behaved objective functions, and especially, when applied to a monotonic function with a single optimum. They encounter certain difficulties in problems with multi optima and in those having a sharp gradient, such as a problem with constraint or jump. The solution may converge to a local optimum, or not converge to any optimum but diverge near a jump.
Salvinia molesta ( SALVINIACEAE ) A NEW RECORD FOR THE FLORA OF SUDAN

This is the first documentation for the presence of Salvinia molesta in the White Nile, Sudan. Floating Salvinia molesta were encountered in the open water for the first time in Sudan near Kosti town (N 13° 11' 15.50" E 32° 40' 20.37"). Specimens of Salvinia were positively identified consulting relevant taxonomic keys, illustrations and descriptions. Leaf areolation patterns, sporocarps morphology, and types of hairs on the abaxial surface of the leaf were considered as key characters for identification.
Evaluation of Lemon Grass Essential Oil as an Antimicrobial Agent Against clinical isolates of MRSA , VRSA and VRE

Hospital acquired infections and wound infections are a major cause of morbidity and mortality worldwide. A 2015 study finds that the rates of hospital-acquired infections and antimicrobial resistance were clearly higher in India than those reported by the CDC in the U.S. The problem is complicated due to the appearance of newer antibiotic resistant strains. Herbal medicines, offer promising alternative. The essential oil of Lemon grass (Cymbopogon citratus) is assessed for its antibacterial activity against clinical isolates, MRSA (Methicilin Resistant Staphylococcus aureus), VRSA (Vancomycin Resistant Staphylococcus aureus) and VRE (Vancomycin Resistant Enterococci). Lemon grass essential oil (LGEO) was extracted and tested against multidrug resistant( MDR) bacterial wound pathogens isolated from pus samples. The nine selected strains, MRSA (based on presence of Mec A gene), VRSA and VRE (based on MIC of Vancomycin) were used for testing antimicrobial activity and MIC determination. Antibiotic resistance of the isolates was assessed by standard disc diffusion assay. LGEO showed antibacterial activity against all nine pus isolates of MRSA, VRSA and VRE. LGEO contains multiple constituents which show potent antibacterial activity against multidrug resistant clinical isolates of MRSA, VRSA and VRE. In vitro studies suggest that LGEO based formulation can be used for topical application to control pus forming MDR organisms.
Efficacy Of Selected Plant Extracts On The Oviposition Deterrent And Adult Emergence Activity Of Callosobruchus Maculatus . F ( Bruchidae ; Coeleoptera )

A study was undertaken to find out the effect of aqueous extracts of Phyllanthus amarus, Ocimum tenuiflorum, Cynodon dactylon, Catharanthus roseus, Azadirachta indica, Tephrosia Purpurae, Morinda pubescens, Calotropis gigantea, Vitex negundo and Sesbania grandiflora on oviposition deterrent and Fl adult emergence were carried out at three different concentrations (1%, 3%, 5%) using black gram Vigna munga (L.) against C. maculatus. Maximum oviposition deterrent activity was observed in C. dactylon treatment (84.32%) which was par with O. tenuiflorum followed by P.amarus (83.83%) at higher concentration. All these plant extracts showed above 50% oviposition deterrent activity even at lower concentration. Reduction in Fl adult emergence was also high after using these plant extracts.