Miracle-dz/UniFAR-FTUs huggingface dataset:
Intracranial Carotid Artery Stenosis Diagnosed with CTA in a Western Population: Predictor for Poor Outcome

Background: The prevalence and impact of intracranial atherosclerosis in the white population is sparsely researched and optimal treatment remains to be defined. Previously, we found that 84% of the patients with extracranial internal carotid artery (ICA) stenosis also had an intracranial ICA stenosis diagnosed with CT angiography (CTA). The purpose of this chapter is to investigate the relation between intracranial ICA stenosis and outcome. Methods: We conducted a single center cohort study with long-term follow-up of 84 patients with TIA or infarct that underwent a CTA for the assessment of a carotid artery stenosis between April 1, 2006 and December 31, 2008. Intracranial ICA stenosis was categorised in four groups: without any stenosis (<30%), with any stenosis (≥ 30%), without severe stenosis (<70%), and with severe stenosis (≥ 70%), Primary outcome was recurrent TIA or infarct. Secondary outcomes were MI, vascular death and functional outcome. Poor functional outcome was defined as mRS ≥3. Results: Mean follow-up in the 84 patients was 4.1 years (±1.2 years). Comparing patients without stenosis to patients with any stenosis (≥30%), no differences in primary and secondary outcomes were found. Severe stenosis (≥70%) was not associated with recurrent stroke, but was strongly associated with vascular death (OR 7.85 (1.9 32.5)) and poor functional outcome (OR 4.33 (1.15 16.37)). Conclusion: Severe intracranial ICA stenosis on CTA in a white population is associated with a higher rate of vascular death and poor functional outcome.
Subgraph Mining of Seminal Papers in a Large Graph with Their Paper Genealogy

: In information technology there many types of graphs such as biological graphs ,social network graphs, Semantic Web graphs are presented in real world and, single vertex of any graphs always contain huge information, which can be created by a set of elements. In this paper, we will study a subgraph mining in a large graph over a large database, which creates subgraphwith help of some keywords for example name of domain and Subject. By putting all required keywords the main large graph will be created. That main graph contains rich information of different scientific searched papers, and those papers are connected in the form of graph according to year wise from which is ancient paper to new latest paper form, this connected papers show the genealogy of different seminal papers. By using the proposed method it is easy to find different seminal papers in sub graph from the main large graph. The genealogy algorithm is useful to find out quick result of searched topic, in which all founded papers are similar to given query. Other proposed methods are used to find the similar papers according to their citations and reference. In today’s real world searching of data is the most important part of daily use, similar this when a freshers and researchers want to search any topic regarding their field and domain so they have to face so many problems regarding to search a papers and seminal paper related to that particular searched paper. Bythis proposed work, the searching process will be easier for userin which user will not expend their important time on searching different papers related their domain this proposed methods show the effectiveness efficiency with the accuracy of different data .
Aesthetic rehabilitation of severe dental fluorosis with Porcelain Veneers: About a case report

Dental fluorosis is a disturbance in the development of enamel caused by excessive fluoride on ameloblasts during the mineralization stage. This disturbance can induce subsurface porosities to varying extents depending on the severity of fluorosis. That is why patients with fluorosis consult dentist mainly for aesthetic reasons. Depending on the fluoride levels, the therapeutic options are multiple and vary according to their invasiveness from bleaching, microabrasion, veneering or crowning in the most severe levels with high surface enamel loss.Thus, the dentist should make an accurate diagnosis and choose the most appropriate therapy for the patient. Porcelain veneers can offer an excellent option to improve the smile aesthetics for patient with fluorosis.The purpose of this article is to report a case that shows the interest of porcelain veneers to manage successfully the aesthetics of moderate to severe fluorosed teeth.
Stabilization of Active Antenna Arrays IncorporatingHeterostructure Interband Tunnel Diodes

In this paper, the stable DC bias condition for a single tunnel diode is examined in experiments and simulations toward array applications. To overcome the malfunction of the diodes connected in series, DC blocking capacitors are used in the antenna array to enforce individual bias conditions. Beam steering is achieved by changing the phase between the two signals injected to the two end-elements of the array. Simulated and experimental results for the diode instability and active antenna array are presented.
Income and Child Mortality in Oil-Rich Countries: Evidence from Oil-Price shocks and European Colonial Experience

In this study, we investigate the impact of changes in income on child mortality in oil-rich countries. The health-economics literature does not accept a direct causal effect from income to child health. Therefore, we condition income per capita to shocks from time-series variation in global oil-prices interacted with cross-sectional variation in oil discoveries and a dummy to capture if a country was a European colony during the 16th to 19th-century European colonialism. This strategy helps to isolate a potentially exogenous source of variation in incomes and to broaden the scope of the resource curse while accounting for the enduring effect of European colonial experience. We estimate the causal effect of aggregate GDP per capita on child mortality in 99 heterogeneous, oil-rich countries from 1960 to 2010 with a Fixed Effect (FE) Instrumental variable (IV) estimator. In the first stage, we find a significant correlation between oil-price shock and income, but the experience of colonialism reduces the magnitude. In the second stage and across all specifications, we find a statistically insignificant impact of income on child mortality. Our findings document an aspect of the resource curse; in many resource-rich countries, the expected benefits from resource-wealth hardly translate to significant improvement in child mortality through income. Nevertheless, improving female labour participation helps in reducing child mortality. We suggest improving investments that economically engaged women and improving rent allocation that directly target child welfare as ways of reducing child mortality.
An Approach for Secured and Fast transfer data Minimization Approach of Big Data using Secure Encoding: An Overview

: Big data delay transmission is most time consumable, over the internet. One way to increase the efficiency of data transmission is to increase the bandwidth, which might not always be possible due to resource limitations. Another way to maximize channel capacity utilization is by decreasing the bits that need to be transmitted for a given dataset. Traditionally, transmission of big genomics datasets between two geographical locations is commonly done using general-purpose protocols, such as hypertext transfer protocol (HTTP) and file transfer protocol (FTP). In this dissertation, a novel deep learning-based data minimization algorithm is presented and aims to: 1) minimize the datasets during transfer over the carrier channels; 2) protect the data from the man-in-the-middle (MITM) and other attacks by changing the binary representation (codewords) several times for the same dataset. This innovative data minimization strategy exploits the alphabet limitation of DNA sequences and modifies the binary representation (codewords) of dataset characters by usingdeep learning-based random sampling that utilizes the convolutional neural network (CNN) and Fourier transform theory. This algorithm ensures transmission of big genomics datasets with minimal bits and latency, thereby lending to a more efficient and expedient process. To evaluate this approach, extensive actual and simulated tests on various genomics datasets were conducted. Resultsindicate that the proposed data minimization algorithm
BEST CANDLESTICKS PATTERN TO TRADE STOCKS

This research examines whether candlesticks patterns can predict trends swings. Our results indicate that well known two days "Engulfing" pattern have failed to produce a positive gain while the "Harami" pattern has barely succeeded to do so. A more complex patterns known as the "Kicker" barley achieved a positive average gain and was also outperform by the simple B&H strategy. We found that the "Stairs" pattern developed here, has achieved a positive gain for all twenty examined stock and has outperformed the B&H strategy for sixteen out of the twenty stocks.
Effectiveness of Grassed Buffer in Reducing Spinosad Runoff: Real Data and FOCUS Output

In Italy high-quality vines are grown on sloping fields where pesticide runoff to surface water is possible and vegetated buffers are suggested as mitigation measure. Spinosad is an insecticide used to control pests in vineyards. For regulatory purposes, FOCUS modelling is used to calculate pesticides runoff reduction provided by a vegetated buffer, but there is an urgent need for field-based results. A field trial with artificial runoff was performed in September 2017 in Northern Italy to evaluate the efficiency of a grassed buffer to reduce spinosad runoff. Trial conditions were based on FOCUS scenarios but made worse to draw prudent conclusions. For the first time in Italy, the trial was conducted according to Good Laboratory Practices to increase reliability of results and reproducibility of the study for regulatory purposes. Five plots were tested, each simulating a grassed buffer of 12 m length on a slope of 10% - 13%. The artificial runoff was 200 mm in 3 hours and rainfall pre- and during runoff was 45 mm. Results show that the 12 m buffer completely retained runoff and effectively mitigated runoff concentration, and mean reduction of spinosad concentration was 59%. A width effect exists, and every 6.5 m of buffer reduces concentration by 50%. Comparison of field results with FOCUS modelling shows that both VFSMod and LM models provide acceptable estimation of runoff reduction for a 5 m buffer, while LM seems more precise. For a 10 m buffer the VFSMod is very accurate, while LM underestimates reduction observed in the field.
A Post-Mortem Evaluation of Coccidiosis and Helminthiasis of Poultry Birds Slaughtered at Lafia Ultra Modern Market, Lafia, Nasarawa State, Nigeria

Poultry refers to domesticated birds kept for meat or egg production (Muazu et al., 2008; Ugwu, 2009; Getu, 2014) and generally plays a vital role in the national economy as a revenue provider and provides employment (Nnadi & Goerge, 2010; Eduvie, 2002; Nnadi and George, 2010; Al-Jamaien et al., 2013; Opara et al., 2014; ; Letebrhan et al., 2015). In 1998, poultry meat represented 28% of the world total meat consumption compared to 26.5% for beef (Nnadi and George, 2010; QuirozCastañeda & Dantán-González, 2015). It is also estimated that poultry provides 12kg of protein needs per inhabitants each year whereas cattle provides 5.3 kg (Nnadi & George, 2010; Roy, 2013; Nghonjuyi et al., 2014). Moreover, when compared to a number of other livestock species, fewer social and religious taboos are related to the production, marketing and consumption of poultry products. For these reasons, poultry ABSTRACT
LYMPHOCYTIC INSULITIS IN A ‘NON-OBESE DIABETIC (NOD)’ STRAIN OF MICE: AN IMMUNOHISTOCHEMICAL AND ELECTRON MICROSCOPE INVESTIGATION

Pathohistological changes were investigated in the pancreas of a recently inbred ‘non-obese diabetic (NOD) mouse’ which becomes diabetic due to severe insulitis which resembles that in human juvenile onset or Type I diabetes. In 4 and 5 week old mice, pancreatic islets are infiltrated by lymphocytes. This lymphocytic insulitis selectively and progressively destroy the B cells of islets. The diabetic symptoms appear when most of the B cells have been lost. The circulation route and the nature of the infiltrating lymphocytes as well as the cytological changes in the B and other islet cells were studied by light and electron microscopy. Immunohistochemistry for insulin, glucagon, somatostatin and pancreatic polypeptide (PP) added information on the process leading to the disappearance of insulin and the attitude of the islet cells containing other hormones. The B cell of the pancreatic islets producing insulin is without doubt one of the most indispensable cells in the body. Its disorders usually cause diabetes mellitus and its complete damage inevitably means the death of the organism, unless insulin is exogenously administered. Animal models with selectively damaged B cells have been useful for the study of the pathogenesis and treatment of diabetes mellitus. The present paper deals with a newly inbred mouse, ‘non-obese diabetic (NOD) mouse’, whose pancreatic B cells are selectively destroyed by massive lymphocyte infiltration. This lesion attracts the attention of diabetologists as similar histopathological changes in the pancreatic islets have been known under the term of insulitis in many cases of acute juvenile diabetes (4). The lesion in this mouse strain is also of more general biomedical interest, as it has different cell-biological and immunological implications. The NOD mouse was raised by Tochino and his associates (17, 26) at Shionogi Research Laboratory by inbreeding CTS strain mice. They found that the animals became diabetic. The onset time of diabetes varied markedly among animals. In females diabetic symptoms occurred mainly at 13 weeks after birth and the cumulative incidence reached 80-90% by 30 weeks, whereas in males it was less than 20 %. However, it was reported that histologically insulitis already occurred at about 5 weeks after birth in 82 ‘X, of females and 57.5 ‘X, of males (17). The diabetic symptoms included polydipsy, polyuria, polyphagy, hyperglycemia (900-1,000 mg/dl), glycosuria (7,500-9,600 mg/day) and in some cases ketonuria. The animals lost weight and their body hairs became brownish and dirty. Insulin injections were shown to improve these symptoms (17). The histological changes in the pancreas of the NOD mice have been reported by Tochino, Makino and their associates (17, 25, 26) to be characterized by conspicuous lymphocyte infiltration in and around the islets and consequent degeneration and disappearance of B cells. As to the electron microscope study of these
Returns to Investment in Education: Evidence from a Quantile Regression

In this paper we attempt to address the issue of endogeneity of education in the Mincerian earnings function and the heterogeneity of returns to education using data from South Africa. We used the compulsory education policy of 1996 as a source of exogenous variation in schooling to control for endogeneity and applied quantile regression analysis to trace the evolution of returns to education across the earnings distribution. Our findings reveal that the OLS estimates of returns to investment in education are much lower than those from a Two-stage Least Squares regression and a control function quantile regression, which suggests that the OLS estimates may be biased. Further, estimates from the quantile regression suggest that returns to education are heterogeneous across the earnings distribution. *Department of Economics, University of Pretoria
The Effect of Gaining and Losing Access to Selective Colleges on Education and Labor Market Outcomes

Selective college admissions are fundamentally a question of tradeoffs: Given capacity, admitting one student means rejecting another. Research to date has generally estimated average effects of college selectivity and has been unable to distinguish between the effects on students gaining access and on those losing access under alternative admissions policies. We use the introduction of the Top Ten Percent rule and administrative data from the State of Texas to estimate the effect of access to a selective college on student graduation and earnings outcomes. We estimate separate effects on two groups of students. The first-highly ranked students at schools which previously sent few students to the flagship university--gain access due to the policy; the second--students outside the top tier at traditional “feeder” high schools--tend to lose access. We find that students in the first group see increases in college enrollment and graduation with some evidence of positive earnings gains 7-9 years after college. In contrast, students in the second group attend less selective colleges but do not see declines in overall college enrollment, graduation, or earnings. The Top Ten Percent rule, introduced for equity reasons, thus also seems to have improved efficiency.
Coupling fuzzy clustering and cellular automata based on local maxima of development potential to model urban emergence and expansion in economic development zones

ABSTRACT Modeling urban growth in Economic development zones (EDZs) can help planners determine appropriate land policies for these regions. However, sometimes EDZs are established in remote areas outside of central cities that have no historical urban areas. Existing models are unable to simulate the emergence of urban areas without historical urban land in EDZs. In this study, a cellular automaton (CA) model based on fuzzy clustering is developed to address this issue. This model is implemented by coupling an unsupervised classification method and a modified CA model with an urban emergence mechanism based on local maxima. Through an analysis of the planning policies and existing infrastructure, the proposed model can detect the potential start zones and simulate the trajectory of urban growth independent of the historical urban land use. The method is validated in the urban emergence simulation of the Taiping Bay development zone in Dalian, China from 2013 to 2019. The proposed model is applied to future simulation in 2019–2030. The results demonstrate that the proposed model can be used to predict urban emergence and generate the possible future urban form, which will assist planners in determining the urban layout and controlling urban growth in EDZs.
Validity of Neurophysiological Study Inprediction of Severity of Guillain-Barre Syndrome and the Indication for Mechanical Ventilation

Background: Guillain-Barre syndrome is clinically characterized by an acute monophasic, non-febrile postinfectious illness manifesting as ascending weakness, and areflexia. However, sensory, autonomicand brainstem abnormalities may also seen. It is one of the most common causes of acute motor paralysis. In addition to the clinical presentation, those patients may develop neurophysiological features suggestiveof demyelinating neuropathy. However, an axonal form had been reported. Objectives: evaluate the neurophysiological study in prediction the severity of GBS, and find out whether the neurophysiological study of peripheral nerves can predict the indications formechanical ventilation.Subjects and methods: Two groups of patients of either sex were involved in the study. (22) Patients with GBS in the neuromedical wards and 18 patients in the respiratory care units (RCU). Each patient submitted to sensory and motor nerve conduction study (NCS) and electromyography (EMG) for both upper and lower limbs.Results:the results of this study revealed that prolongation of motor and F wave latencies and the reduction in compound motor action potential and conductive velocities are increase the risk of admission to the RCU in patient with GBS. Conclusion: This study concluded that the neurophysiological study can predict the severity of Guillain-Barre syndrome mainly the prolongation of F wave and motor latencies. The peripheral neurophysiological findings are useful in prediction of respiratory muscles involvement by GBS depending on CMAP and conductive velocity. Keyword: GBS: Guillain Barre syndrome. CMAP: compound motor action potential NCS: nerve conducting study. EMG: electromyogramSNCS: sensory nerve conduction study. DSL: distal sensory latencySNAP: sensory nerve action potential. MNCS: motor nerve conduction studyDML: distal motor latencyMNCV: motor nerve conductive velocityRCU: respiratory care unitROC: receiver operating characteristic curve -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 16-01-2019 Date of acceptance: 02-02-2019 -------------------------------------------------------------------------------------------------------------------------------------
AN INVESTIGATION OF THE RELATIONSHIP BETWEEN WAIST CIRCUMFERENCES AND WAIST-TO-HEIGHT RATIOS WITH DIFFERENT VARIABLES IN WOMEN WITH AGES BETWEEN 18 AND 53 YEARS

The aim of this study is to investigate whether waist circumference and waist-to-height ratios in women are affected by such factors as age, marital status, age at first marriage, parental status, number of children, and regular physical activity. Furthermore, the relationship between chronic diseases and waist circumference and waist-to-height ratios will also be examined. A total of 111 women were randomly selected to participate in this study, of average age 32.26 ± 8.74 years, mean height 162.76 ± 5.44 cm, and average weight 67.38 ± 11.74 kg. In addition to height, weight, and age, waist circumferences and waist-to-height ratios were also determined. Questionnaires recorded the participants’ marital status, age at first marriage, number of children, smoking status, exercise habits, and any chronic health conditions. ANOVA and the student’s t-test were used to analyze these data. Results indicated that waist circumference was significantly associated with age, number of children, marital status, menopausal status, regular exercise, parental status, and the presence of a chronic health condition (p 0.05). Article visualizations:
Neuroendocrine tumors of the gallbladder

A gallbladder neuroendocrine neoplasm (GB-NEN) is a unique heterogeneous neoplasm, originating from neuroendocrine cells and able to secrete peptides as its neurotransmitter. Among all the neuroendocrine tumors (NETs), the GB-NEN prevalence is 0.5%, which accounts for ~2.1% of all gallbladder tumors. The current study aimed to present an up-to-date review of the clinical features, diagnosis and treatment of NETs of the gallbladder. A systematic literature search was performed in order to identify all relevant studies published. Thus far, the etiology and pathogenesis of GB-NEN remains unclear. Moreover, an ambiguous clinical manifestation exists as observed during laboratory examinations. As GB-NEN is a rare gallbladder lesion and is seldom seen in clinical practice, there is a limited availability of review reports, and it is therefore often considered only as a case study. It is difficult to distinguish GB-NEN from other gallbladder diseases using imaging diagnostic techniques. Although chemotherapy treatment provides prolonged progression-free survival, surgery is considered the best option. Thus, to overcome the inherent risks or shortfalls of traditional surgery; early detection, diagnosis and treatment of GB-NEN are required to improve patient longevity.
Data Deduplication with Encryption In Cloud

: Cloud Computing is an emerging technology which has become today‟s trending research area due its ability to reduce expenditure associated with computing. In maintaining data, Cloud Computing plays crucial role. To avoid data redundancy on cloud, we use Deduplication technique which helps to reduce duplicate data. It is necessary to maintain privacy of records that are stored on cloud because there is risk of getting exploited. There are various encryption algorithms that provide security and privacy of data.