Miracle-dz/UniFAR-FTUs huggingface dataset:
PROSPECTIVE STUDY OF DELIVERY AFTER PREVIOUS ONE CAESAREAN SECTION AT KING HUSSEIN MEDICAL CENTER

Objective: To evaluate the mode of delivery and safety of vaginal delivery in women with previous caesarean section at King Hussein Medical Centre. Methods: Three hundred thirty women with previous caesarean sections were enrolled into the study. Age, parity and indication for the previous caesarean sections were recorded. All events of labour were also recorded (mode of delivery, apgar scores, birth weight, and duration of oxytocin and prostaglandin use). Intrapartum and postpartum complications were recorded. Analysis of the rate of vaginal delivery was made in relation to parity and the indication for the previous caesarean section. Results: The mean age of women was 29.2 years (19-45). One hundred and twenty six (38%) were Para 1. Overall, the vaginal delivery rate was 71%. Among women who had one previous caesarean section 62% achieved vaginal delivery. Overall 11.8% of women had an elective caesarean section. The highest vaginal delivery rate was in patients who had caesarean section for breech presentation (74%), followed by fetal distress (68%). Even in women, where the previous caesarean section was due to failed progress, 55% achieved vaginal delivery. There was one case of ruptured uterus in the vaginal delivery group, which resulted in a perinatal mortality. The mean birth weight was 3.168 for the vaginal delivery group and 3.4 kg for the caesarean section group. Conclusion: Trial of labour after previous caesarean section can be very successful with vaginal delivery rate reaching 62%. Even when the previous caesarean section was due to failed progress, vaginal delivery was achieved in 55% of cases. Although the risks of vaginal delivery were small in our series, these should not be overlooked when making decisions regarding mode of delivery after previous caesarean section.
Mediating Influence of Satisfaction on the Relationship between Tourists' Motives and Revisits to Cultural and Heritage Sites

The purpose of this study is to assess the success of cultural and heritage destinations by looking into tourists’ intention to revisit. In this study, it is identified that satisfaction is the mediator variable between motivation and destination loyalty. Visitors to cultural and heritage sites are motivated by different factors based on educational motives, entertainment motives and social motives. This study emphasized on the quantitative research method through a cross sectional survey of a sample size of 200 respondents. The results identified that educational and social motives influence tourists’ intention to revisit cultural and heritage destinations. In addition, personal satisfaction and satisfaction with site attributes have mediating influence between motives and intention to revisit. The results revealed that cultural and heritage sites are not seen as an entertainment destination for the targeted sample.
Nonlinear rupture of free films

A free viscous film is subject to van der Waals attractions that lead to film rupture. Long‐wave asymptotics is used to derive approximate equations that govern the unstable evolution of the film. The solution of the nonlinear evolution equation is then considered using bifurcation techniques leading to an estimate for the nonlinear rupture time.
Anti-tumor activity of ethanolic extract of Crataeva magnaLour. (DC) against Dalton’s ascites lymphoma cell lines in mice

http://dx.doi. org/10.21276/IJRDPL.227 8-0238.2017. 6(5). 2757-2763 ABSTRACT:In recent years, the use of traditional medicine information in cancer research received considerable interest. Ethanolic Extract of Crataeva magnaLour. DC (EECM) has been used in traditional and folklore medicine for the treatment of cancer. The aim of the present investigation was to evaluate the effect of ethanolic extract root bark of Crataeva magnaLour. DC in swiss albino mice against intraperitoneally injected Dalton’s ascitic lymphoma (DAL) cell lines. DAL cells were injected intraperitoneally (1×10cells/ml/mouse) to the mice. The EECM at a dose of 200 mg/kg and 400mg/kg body weight were administered orally for 14 consecutive days to the tumor bearing group of animals. Derived parameters, hematological parameters, serum enzyme and lipid parameters were measured and compared to the control group. 5Flurouracil (20 mg/kg) was used as a standard drug. Both doses of EECM decreased average increase in body weight, reduced the packed cell volume (PCV) viable tumor cell count and increased the life span of DAL treated mice and brought back the hematological parameters, serum enzyme and lipid profile near to normal values. All the values were found to be statistically significant with control group at p<0.01. These observations are suggestive of the protective effect of extracts in Dalton’s Ascitic Lymphoma (DAL). All these findings enable to conclude that both doses of EECM possess a protective effect against DAL.
Investigation of Unusual Atmospheric Warming over the Schirmacher oasis, East Antarctica

The weather over the Schirmacher oasis (located at the periphery of east Antarctica) experiences impact of the severe katabatic winds flowing from the interior of the continent towards the periphery and the induction of warm, moist air associated with the moving cyclones along the east coast of Antarctica. These processes at times lead to unusual atmospheric warming which need in-depth investigations. In the present paper, an unusual atmospheric warming (surface air temperature touching +12 °C) observed at the two closely located stations (Russian Antarctic station, Novolazarevskaya-70°46’S; 11°52’E and the Indian Antarctic station, Maitri-70°46’S; 11°41’E) during February 1996 has been investigated by a number of complementary atmospheric techniques. This unusually high temperature has been investigated as a wide spread warming over the east Antarctic region, which was caused by the induction of warm, humid oceanic air around the Syowa, Japan station under a blocking polar high.
Constraints on Heavy Neutrino and SUSY Parameters Derived from the Study of Neutrinoless Double Beta Decay

New constraints on the lepton number violating (LNV) parameters are derived from the analysis of the neutrinoless double beta () decay in the hypothesis that this process would occur through the exchange of heavy neutrinos and/or SUSY particles. For derivation, we use new values of both phase space factors (PSFs) and nuclear matrix elements (NMEs) calculated with numerical codes developed recently, as well as the most recent experimental lifetimes. The NMEs are computed with a shell model (ShM) code for , , and nuclei, while at present similar ShM results are available only for the first nucleus. We compare our results with similar ones from literature, obtained with ShM, QRPA, and IBM-2 methods, and conclude that more results are needed for a relevant analysis on the validity of NMEs associated with these decay mechanisms.
Assessing bilingual dominance

This study used two methods to assess bilingual dominance in four groups of 18 Italian–English bilinguals, who were selected on the basis of age of arrival (AOA) in Canada (early: 2–13 years; late: 15–26 years) and percentage use of the first language (L1), Italian (low L1 use: 1–15%; high L1 use: 25–85%). Ratios were derived from the bilinguals' self-ratings of ability to speak and understand Italian compared to English (the “verbal” self-rating ratios) and to read and write Italian compared to English (the “written” self-rating ratios). The ratio of the mean duration of English and Italian sentences produced by each bilingual was also computed. AOA and L1 use had the same effect on the self-rating and sentence duration ratios, which were correlated. The bilinguals who arrived in Canada as young adults and continued to use Italian often were the most likely to be Italian dominant. Dominance in Italian was associated with a relatively high level of performance in Italian (assessed in a translation task) and relatively poor performance in English (assessed by measuring strength of foreign accents). Both groups of late bilinguals (late low, late high) and both groups of early bilinguals (early low, early high) were found to produce English sentences with detectable accents. However, a group of 18 bilinguals (all early bilinguals) selected from the original sample of 72 based on their dominance in English did not have detectable foreign accents. This suggested that interlingual interference effects may not be inevitable.
Separation-driven coalescence of droplets: an analytical criterion for the approach to contact

Recent microfluidic experiments by Bremond, Thiam & Bibette (Phys. Rev. Lett., vol. 100, 2008, paper no. 024501), along with simulations by Yoon et al. (Phys. Fluid, vol. 19, 2007, paper no. 102102) and near-contact experiments and simulations by Manica et al. (Langmuir, vol. 24, 2008, pp. 1381–1390), have demonstrated that two droplets can coalesce as they are separating rather than upon their collision. We analyse the experimental microfluidic flow configuration for the approach to contact with a two-dimensional model: we apply a lubrication analysis followed by the method of domain perturbation to determine the droplet deformation as a function of time. We find the approximate shape for the deformed droplet at the time of contact. In particular, for droplets of radius R, moving apart according to h0(t) = h0(0) + αt2, where 2h0(t) is the separation distance, we define a non-dimensional parameter A=4CμR2α1/2/πγ[h0(0)]3/2, where μ is the viscosity of the continuous phase; γ is the interfacial tension; and C depends on the viscosity ratio between the droplets and the continuous phase. Our model suggests that there exists a critical value Acrit = 16/33/2 ≈ 3.0792, below which separation is unlikely to facilitate the coalescence of the droplets. The predictions are in good agreement with available experimental data.
Star-formation rates of cluster galaxies: Nature versus nurture

We analyzed 17 galaxy clusters, and investigated, for the first time, the dependence of the SFR and sSFR as a function of projected distance (as a proxy for environment) and stellar mass for cluster galaxies in an intermediate-to-high redshift range ($0.4 < z < 0.9$). We used up to nine flux points (BVRIZYJHKs magnitudes), its errors and redshifts to compute M$_{\rm{star}}$, SFR and sSFR through spectral energy distribution fitting technique. We use a z-dependent sSFR value to distinguish star-forming (SF) from quiescent galaxies. To analyse the SFR and sSFR history we split our sample in two redshift bins: galaxies at $0.4 < z < 0.6$ and $0.6 < z < 0.9$. We separate the effects of environment and stellar mass on galaxies by comparing the properties of star-forming and quiescent galaxies at fixed environment (projected radius) and fixed stellar mass. For the selected spectroscopic sample of more than 500 galaxies, the well-known correlation between SFR and $M_{\rm star}$ is already in place at $z \sim 0.9$, for both SF and quenched galaxies. Our results are consistent with no evidence that SFR (or sSFR) depends on environment, suggesting that for cluster galaxies at an intermediate-to-high redshift range, mass is the primary characteristic that drives SFR.
Process parameters optimization of magnesium alloy quasi-vacuum casting using X-ray image defect inspection

This study investigated the influence of vacuum casting parameters on defects in magnesium alloy as well as changes in the mechanical properties of these alloys and microstructural evolution under the effects of annealing. We used the Taguchi method in conjunction with an X-ray image detector to determine the percentage of area affected by internal defects, the results of which were verified experimentally. X-ray images of magnesium alloy specimens were filtered, binarized, and edge enhanced. The calculated area of internal defects was then used to optimize process parameters according to multiple performance indicators. Based on the average signal-to-noise ratio, Batch 1 (720◦C, 30 torr, 2 h, steel, and 120 min of argon gas injection) and Batch 8 (780◦C, 30 torr, 1 h, steel, and 120 min of argon gas injection) were both deemed optimal. The uniformity in the percentage of internal defect area observed in samples from Batch 8 is an indication of stability. K e y w o r d s: X-ray image inspection, magnesium alloy casting, defect
A Novel Method for Intrusion Detection Based on SARSA and Radial Bias Feed Forward Network (RBFFN)

The Internet, computer networks and information are vital resources of current information trend and their protection has increased importance in current existence. Any attempt, successful or unsuccessful to finding the middle ground the discretion, truthfulness and accessibility of any information resource or the information itself is measured a security attack or an intrusion. Intrusion compromised a loose of information credential and trust of security concern. The mechanism of intrusion detection faced a problem of new generated schema and pattern of attack data. Various authors and researchers proposed a method for intrusion detection based on machine learning approach and neural network approach all these compromised with new pattern and schema. Now in this paper a new model of intrusion detection based on SARAS reinforced learning scheme and RBF neural network has proposed. SARAS method imposed a state of attack behaviour and RBF neural network process for training pattern for new schema. Our empirical result shows that the proposed model is better in compression of SARSA and other machine learning technique.
Anomalous orbital magnetism in Dirac-electron systems: Role of pseudospin paramagnetism

The orbital diamagnetic susceptibility is calculated in monolayer and bilayer graphenes with band gap as well as in three-dimensional Dirac systems. It is demonstrated that the pseudo-spin degree of freedom such as valleys produces paramagnetic susceptibility in an equal manner as the real spin dominating over the Landau diamagnetism. The pseudo-spin paramagnetism explains the origin of a singular diamagnetism which is present only in the band-gap region and disappears rapidly inside the conduction and valence bands.
Intrusive dike complexes, cumulate cores, and the extrusive growth of Hawaiian volcanoes

The Hawaiian Islands are the most geologically studied hot‐spot islands in the world yet surprisingly, the only large‐scale compilation of marine and land gravity data is more than 45 years old. Early surveys served as reconnaissance studies only, and detailed analyses of the crustal‐density structure have been limited. Here we present a new chain‐wide gravity compilation that incorporates historical island surveys, recently published work on the islands of Hawai‘i, Kaua‘i, and Ni‘ihau, and >122,000 km of newly compiled marine gravity data. Positive residual gravity anomalies reflect dense intrusive bodies, allowing us to locate current and former volcanic centers, major rift zones, and a previously suggested volcano on Ka‘ena Ridge. By inverting the residual gravity data, we generate a 3‐D view of the dense, intrusive complexes and olivine‐rich cumulate cores within individual volcanoes and rift zones. We find that the Hāna and Ka‘ena ridges are underlain by particularly high‐density intrusive material (>2.85 g/cm3) not observed beneath other Hawaiian rift zones. Contrary to previous estimates, volcanoes along the chain are shown to be composed of a small proportion of intrusive material (<30% by volume), implying that the islands are predominately built extrusively.
Azimuthal reflectivity inversion

Summary Seismic fracture prediction is becoming a more important exploration and development problem with the growing focus on unconventional reservoirs. A non-linear inversion technique is presented to estimate layer-based fracture parameters and velocities based on azimuthal reflectivity data. The earth model assumes a single set of vertical fractures per layer parameterized in terms of linear slip parameters - the normal and tangential fracture weaknesses - and fracture strike. In addition, the background P-wave and S-wave impedances are estimated. Either the exact Zoeppritz equation or some linearization thereof is used in a convolutional modelling scheme to estimate seismic amplitude data. The inverse problem is solved in a nonlinear fashion using simulated annealing. The new technique has several advantages over performing azimuthal amplitude versus angle analysis (AVAz). The reflectivity calculation used in the new technique is more theoretically correct, allowing for the symmetry plane to change as a function of layer. The 90 degree ambiguity in estimating the symmetry plane typical of the near offset approximation also disappears. Further, there is an improvement in the isotropic parameter estimates compared to isotropic inversion since the bias introduced by neglecting anisotropy has been removed by incorporating it into the forward model. The azimuthal inversion is demonstrated on both synthetic and real seismic data.
The Improvements of Performance Reliability in Solar Combisystem by the Applications of Artificial Intelligence

An interest to integrate solar collectors in heat supply systems is receiving a lot of attention. Despite perceived simplicity of solar collectors, failures can occur during the operation. Meanwhile, for the most installations, absent heat gains from solar collectors are covered by an auxiliary energy source. Thus the objective of the paper is to present the development of an automatic fault detection system, which can deal with abrupt in solar combisystems. The application of the artificial neural networks (ANN) for the fault detection has considerable advantages over other models, because the ANN can deal with complex problems, where traditional deterministic algorithms are exhausted. For the input and output layers the historical data about the fault-free operation parameters from the experimental solar combisystem and from the TRNSYS simulation tool is feed to the ANN. Learning algorithms are applied for the hidden layer in order to “train” the ANN. The results show that application of the proposed methodology increases the performance reliability of solar combisystem. The fault detection systems could be integrated in the solar combisystems, thus reducing the consumption of auxiliary energy and decreasing emissions during operation.
Query Optimization Using a Genetic Programming Approach

Query optimization has been a research hot topic since the 70â€™s. Still today new methods are introduced to optimize queries since the problem is NP-hard in nature. There exist multiple ways to execute the same query and the search space increases exponentially with increase in complexity of queries. Even the accepted methods are inadequate to optimize present day complex queries. In this paper, we propose a model based on Genetic programming to optimize such queries. We briefly explain the functioning of Genetic Algorithms and Genetic Programming and try to establish a strong base that supports application of Genetic Programming approach to query optimization. Keywords:Query Optimization, Genetic Algorithms, Genetic Programming
Why EU asylum standards exceed the lowest common denominator: the role of regulatory expertise in EU decision-making

ABSTRACT While scholars traditionally expected EU policy-making in the area of asylum to produce lowest common denominator standards, recent studies on the first phase of the Common European Asylum System have observed higher asylum standards in some instances. This article aims at explaining this divergence. Drawing on concepts of regulatory expertise and ‘misfit’, it argues that the observed variation in policy output can be explained by the dominance of a few (Northern) member states which were highly successful in inserting their positions in the core EU directives. Government effectiveness and exposure to the phenomenon entailing regulatory expertise provide a powerful explanation for member states being effective policy-shapers. Characterized by low levels of government effectiveness and exposure in the asylum area, Southern European countries were, on the contrary, rather passive during the negotiations and barely left any mark on the EU directives.
ALGEBRAIC INFORMATION THEORY AND KOSKO'S FORBIDDEN INTERVAL THEOREM

We introduce a more general definition of stochastic resonance in the context of algebraic information theory. By focusing on discrete memoryless communication channels with threshold, we reformulate Kosko’s forbidden interval theorem in an algebraic manner. Based on our definition of stochastic resonance, we derive an analytic expression of the Shannon capacity for noisy binary-input, binary output discrete memoryless channels. Our analytic results agree with the algebraic information theory ordering theorem.
Biocontrol of Green Mould Disease of Oyster Mushroom (Pleurotus ostreatus) using Bacillus amyloliquefaciens

The occurrence of Trichoderma harzianum and T . asperellum in cultivation of oyster mushroom ( Pleurotus ostreatus ) frequently results in serious crop losses and considerable inhibition of growth of mycelium and fruiting bodies of oyster mushroom thus lowering the yield substantially. Bacillus amyloliquefaciens strain isolated from groundnuts proved very effective in antagonizing the oyster mushroom pathogenic T. harzianum and T . asperellum without having a negative effect on P . ostreatus mycelia. The Bacillus amyloliquefaciens was found to produce diffusible and volatile organic compounds. This strain is a potential biocontrol candidate, in addition to the lack of antagonistic activity towards P . ostreatus mycelia. The present study, hence, provides a potential biocontrol agent for Trichoderma green mould. However, field studies of this isolate as substrate inoculant in oyster mushroom are required in order to establish its actual performance. Keywords : Bacillus amyloliquefaciens , Green mould, Mushroom, Biocontrol
Carbon isotope geochemistry of the Santa Clara River

The Santa Clara River is a prototypical small mountainous river, with a headwater height greater than 1000 m and a basin area smaller than 10,000 m 2. Although individual small mountainous rivers export trivial amounts of sediment and carbon to the ocean, as a group these rivers may export a major fraction (as much as 50%) of the total global river sediment flux [Milliman and Syvitski, 1992], making their geochemistry relevant the study of the ocean's carbon cycle. In addition, many small rivers export sediment in a few high flux events, causing massive, sporadic discharge of carbon onto coastal shelves, discharge conditions very different from those of large rivers. This class of rivers is an end‐member of the river‐ocean carbon exchange system,. opposite the Earth's largest river, the Amazon. The carbon mass and isotopic properties of the Santa Clara River are significantly different from previously studied large rivers. During the 1997–1998 winter, all Santa Clara carbon pools were old, with flux‐weighted average Δl4C values of−428±76‰ for particulate organic carbon, −73±31‰ for dissolved organic carbon, and−644±58‰ for black carbon. The age of exported carbon is primarily due to the deep erosion of old soils and not to inclusion of fossil fuel carbon. Additionally, the δ13C signatures of exported carbon pools were high relative to terrestrial carbon, bearing a signature quite similar to marine carbon (average particulate organic carbon (POC) δ13C = −22.2±0.8‰). The Santa Clara's estuary is small and drains onto the narrow eastern Pacific coastal margin, exporting this old soil organic matter directly into the ocean. If the Santa Clara export patterns are representative of this class of rivers, they may be a significant source of refractory terrestrial carbon to the ocean.