LLukas22/scidocs huggingface dataset:
Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) Using the Support Vector Machine and the Aedes aegypti Infection Rate in Similar Climates and Geographical Areas

BACKGROUND
In the past few decades, several researchers have proposed highly accurate prediction models that have typically relied on climate parameters. However, climate factors can be unreliable and can lower the effectiveness of prediction when they are applied in locations where climate factors do not differ significantly. The purpose of this study was to improve a dengue surveillance system in areas with similar climate by exploiting the infection rate in the Aedes aegypti mosquito and using the support vector machine (SVM) technique for forecasting the dengue morbidity rate.


METHODS AND FINDINGS
Areas with high incidence of dengue outbreaks in central Thailand were studied. The proposed framework consisted of the following three major parts: 1) data integration, 2) model construction, and 3) model evaluation. We discovered that the Ae. aegypti female and larvae mosquito infection rates were significantly positively associated with the morbidity rate. Thus, the increasing infection rate of female mosquitoes and larvae led to a higher number of dengue cases, and the prediction performance increased when those predictors were integrated into a predictive model. In this research, we applied the SVM with the radial basis function (RBF) kernel to forecast the high morbidity rate and take precautions to prevent the development of pervasive dengue epidemics. The experimental results showed that the introduced parameters significantly increased the prediction accuracy to 88.37% when used on the test set data, and these parameters led to the highest performance compared to state-of-the-art forecasting models.


CONCLUSIONS
The infection rates of the Ae. aegypti female mosquitoes and larvae improved the morbidity rate forecasting efficiency better than the climate parameters used in classical frameworks. We demonstrated that the SVM-R-based model has high generalization performance and obtained the highest prediction performance compared to classical models as measured by the accuracy, sensitivity, specificity, and mean absolute error (MAE).
On algorithms for simplicial depth

Simplicial depth is a way to measure how deep a point is among a set of points. EEcient algorithms to compute it are important to the usefulness of its applications, such as in multivariate analysis in statistics. A straightforward method takes O(n d+1) time when the points are in d-dimensional space. We discuss an algorithm that takes O(n 2) time when the points are in three-dimensional space, and we generalize it to four-dimensional space with a time complexity of O(n 4). For spaces higher than four-dimensional, there are no known algorithms faster than the straightforward method. A simplex in d-dimensional Euclidean space E d is the set of points that are convex combinations of d + 1 aanely independent points; that is, if the points are p 1 ; p 2 ; : : : ; p d+1 , they bring about the simplex fp : p = a 1 p 1 + a 2 p 2 + : : : + a d+1 p d+1 ; a i 0 and X a i = 1g: A simplex is a line segment in E 1 , a triangle in E 2 , and a tetrahedron in E 3. It is customary to say that a set of points in E d are in general position if any d + 1 points in the set are aanely independent. Let P be a set of n points in general position in E d ; take every d + 1 distinct points from P and they uniquely identify a simplex in E d ; let S P be the set of all such simplices; then, jS P j = (n d+1). Let (p; P) denote the simplicial depth of a point p with respect to a set P , deened by (p; P) = jfs 2 S P : p 2 sgj: For example, if p is outside the convex hull of P , then (p; P) = 0, and if p is a vertex of the convex hull of P , then (p; P) = (n?1 d). When p is in P , the following identity holds:
Quality of life in advanced prostate cancer: results of a randomized therapeutic trial.

BACKGROUND
For patients with metastatic prostate cancer, treatment is primarily palliative, relying mainly on the suppression of systemic androgen hormone levels. To help document the achievement of palliation and to characterize positive and negative effects of treatment, we evaluated quality-of-life (QOL) parameters in patients with metastatic prostate cancer who were randomly assigned to two methods of androgen deprivation.


METHODS
Patients (n = 739) with stage M1 (bone or soft tissue metastasis) prostate cancer were enrolled in a QOL protocol that was a companion to Southwest Oncology Group INT-0105, a randomized double-blind trial comparing treatment with bilateral orchiectomy (surgical castration) plus either flutamide or placebo. Patients completed a comprehensive battery of QOL questionnaires at random assignment to treatment and at 1, 3, and 6 months later. Data were collected on three treatment-specific symptoms (diarrhea, gas pain, and body image), on physical functioning, and on emotional functioning. All P values are two-sided.


RESULTS
Questionnaire return rates for this study never dropped below 80%; only 2% of the patients did not submit baseline QOL assessments. Cross-sectional analyses (corrected for multiple testing) identified statistically significant differences that favored orchiectomy plus placebo for two of the five primary QOL parameters as follows: patients receiving flutamide reported more diarrhea at 3 months (P = .001) and worse emotional functioning at 3 and 6 months (both P<.003). Longitudinal analyses replicated these findings. Other analyzed QOL parameters favored the group receiving placebo but were not statistically significant after adjustment for multiple testing.


CONCLUSIONS
We found a consistent pattern of better QOL outcomes at each follow-up assessment during the first 6 months of treatment for orchiectomized patients with metastatic prostate cancer who received placebo versus flutamide. Improvement over time was evident in both treatment groups but more so for patients receiving placebo.
Millimeter-Wave Mobile Communications Microstrip Antenna for 5G - A Future Antenna

In the present scenario, cellular service provider facing bandwidth shortage in conventional cellular system, and delivering high quality, low latency video and multimedia applications using 3G system which is on ground . The 4th Generation cellular networks are expected to be implemented in next few years. Here, we present the motivational approach for millimeter wave mobile communication antenna for next-generation microand Pico-cellular wireless Networks (5th generation). The Millimeter Wave mobile communication works on 28 GHz and 38GHz frequency by employing steerable directional antennas (high dimensional antenna array) at base stations and mobile devices [1]. This paper describes a future antenna for 5G mobile communication. This antenna consists of two rectangular patch elements using a single layer RT/Duroid 5880 substrate with transformer coupled impedance matching network, which provides high gain of 9. 0583dB and efficiency 83. 308%. This antenna has good performance in terms of antenna gain, directivity, return losses, VSWR, Characteristics impedance, Band width and efficiency at the centre frequency 38GHz.
Transferring heterogeneous links across location-based social networks

ocation-based social networks (LBSNs) are one kind of online social networks offering geographic services and have been attracting much attention in recent years. LBSNs usually have complex structures, involving heterogeneous nodes and links. Many recommendation services in LBSNs (e.g., friend and location recommendation) can be cast as link prediction problems (e.g., social link and location link prediction). Traditional link prediction researches on LBSNs mostly focus on predicting either social links or location links, assuming the prediction tasks of different types of links to be independent. However, in many real-world LBSNs, the prediction tasks for social links and location links are strongly correlated and mutually influential. Another key challenge in link prediction on LBSNs is the data sparsity problem (i.e., "new network" problem), which can be encountered when LBSNs branch into new geographic areas or social groups. Actually, nowadays, many users are involved in multiple networks simultaneously and users who just join one LBSN may have been using other LBSNs for a long time. In this paper, we study the problem of predicting multiple types of links simultaneously for a new LBSN across partially aligned LBSNs and propose a novel method TRAIL (TRAnsfer heterogeneous lInks across LBSNs). TRAIL can accumulate information for locations from online posts and extract heterogeneous features for both social links and location links. TRAIL can predict multiple types of links simultaneously. In addition, TRAIL can transfer information from other aligned networks to the new network to solve the problem of lacking information. Extensive experiments conducted on two real-world aligned LBSNs show that TRAIL can achieve very good performance and substantially outperform the baseline methods.
Liquidity Risk Management: A Comparative Study Between Islamic And Conventional Banks

This paper examines the factors that affect the liquidity risk for Islamic and conventional banks in Gulf countries, using the panel data for 11 IBs and 33 CBs between 2006 and 2013. Our results show that return on equity, Net Interest Margin, Capital Adequacy Ratio and inflation rate have a positive impact on liquidity risk for Islamic banks, while returns on assets, Non-Performing Loan, size and GDP growth have a negative impact.On the other hand, in conventional banks, size, Return on Equity, Net Interest Margin, Capital Adequacy Ratio, GDP growth and inflation rate have a positive impact, whereas the Return onAssets, Non-Performing Loan have a negative impact on liquidity risk.This study tries to see how Islamic and conventional banks manage their liquidity in response to changes on the basis of several factors. Citation: Ghenimi A, Omri MAB (2015) Liquidity Risk Management: A Comparative Study between Islamic and Conventional Banks. Arabian J Bus Manag Review 5: 166. doi:10.4172/2223-5833.1000166
Semi-automated map creation for fast deployment of AGV fleets in modern logistics

Today, Automated Guided Vehicles (AGVs) still have a lowmarket share in logistics, compared to manual forklifts. We identified one of the main bottlenecks in the rather long deployment time which involves precise 2D mapping of the plant, 3D geo-referencing of pick-up/ drop positions and the manual design of the roadmap. The long deployment time has various reasons: in state-of-the-art plant installations, designated infrastructure is still necessary for the localization; themappingprocess requires highly skilled personnel; inmany cases unavailable or inappropriate position information of drop points for goodsmust be corrected on site. Finally, the design of the roadmap, performed by expert technicians is manually optimised in a tedious process to achieve maximum flow of goods for the plant operator. In total the setup of a plant to be ready for AGV operation is taking several months, binding highly skilled technicians and involves very time-consuming and costly on-site procedures. Therefore, we present an approach to AGV deployment which aims to drastically reduce the time, cost and involved personnel. First, we propose the employment of a novel, industrial-ready SICK 3D laser scanning technology in order to build an accurate and consistent virtual representation of the whole warehouse environment. By utilizing suitable segmentation and processing a semantic map is generated that contains 3D geo-referenced positions as well as a 2D localization map eliminating the need for dedicated solution to 2D mapping. Second, the semantic map provides a free space map which is used as a basis for the automatic roadmap creation in order to achieve optimal flow. So, this paper proposes an innovative methodology for obtaining, in a semi-automated manner, the map of an industrial environment where a system of multiple AGVs will be installed with less time and cost. © 2016 Elsevier B.V. All rights reserved.
Inventing polemic: religion, print, and literary culture in early modern England

Introduction: The disorder of books 1. Foxe's Books of Martyrs: printing and popularizing the Actes and Monuments 2. Martin Marprelate and the fugitive text 3. 'Whole Hamlets': Q1, Q2, and the work of distinction 4. Printing Donne: poetry and polemic in the early seventeenth century 5. Areopagitica and 'The True Warfaring Christian' 6. Institutionalizing polemic: the rise and fall of Chelsea College Epilogue: Polite learning.
Compressive Phase Retrieval From Squared Output Measurements Via Semidefinite Programming

Given a linear system in a real or complex domain, linear regression aims to recover the model parameters from a set of observations. Recent studies in compressive sensing have successfully shown that under certain conditions, a linear program, namely, `1-minimization, guarantees recovery of sparse parameter signals even when the system is underdetermined. In this paper, we consider a more challenging problem: when the phase of the output measurements from a linear system is omitted. Using a lifting technique, we show that even though the phase information is missing, the sparse signal can be recovered exactly by solving a simple semidefinite program when the sampling rate is sufficiently high, albeit the exact solutions to both sparse signal recovery and phase retrieval are combinatorial. The results extend the type of applications that compressive sensing can be applied to those where only output magnitudes can be observed. We demonstrate the accuracy of the algorithms through theoretical analysis, extensive simulations and a practical experiment.
Mining Educational Data to Analyze Students' Performance

The main objective of higher education institutions is to provide quality education to its students. One way to achieve highest level of quality in higher education system is by discovering knowledge for prediction regarding enrolment of students in a particular course, alienation of traditional classroom teaching model, detection of unfair means used in online examination, detection of abnormal values in the result sheets of the students, prediction about students’ performance and so on. The knowledge is hidden among the educational data set and it is extractable through data mining techniques. Present paper is designed to justify the capabilities of data mining techniques in context of higher education by offering a data mining model for higher education system in the university. In this research, the classification task is used to evaluate student’s performance and as there are many approaches that are used for data classification, the decision tree method is used here. By this task we extract knowledge that describes students’ performance in end semester examination. It helps earlier in identifying the dropouts and students who need special attention and allow the teacher to provide appropriate advising/counseling. Keywords-Educational Data Mining (EDM); Classification; Knowledge Discovery in Database (KDD); ID3 Algorithm.
Short-Term Effects of Kefir-Fermented Milk Consumption on Bone Mineral Density and Bone Metabolism in a Randomized Clinical Trial of Osteoporotic Patients

UNLABELLED
Milk products are good sources of calcium that may reduce bone resorption and help prevent bone loss as well as promote bone remodeling and increase bone formation. Kefir is a product made by kefir grains that degrade milk proteins into various peptides with health-promoting effects, including antithrombotic, antimicrobial and calcium-absorption enhancing bioactivities. In a controlled, parallel, double-blind intervention study over 6 months, we investigated the effects of kefir-fermented milk (1,600 mg) supplemented with calcium bicarbonate (CaCO3, 1,500 mg) and bone metabolism in 40 osteoporosis patients, and compared them with CaCO3 alone without kefir supplements. Bone turnover markers were measured in fasting blood samples collected before therapy and at 1, 3, and 6 months. Bone mineral density (BMD) values at the spine, total hip, and hip femoral neck were assessed by dual-energy x-ray absorptiometry (DXA) at baseline and at 6 months. Among patients treated with kefir-fermented milk, the relationships between baseline turnover and 6 months changes in DXA-determined BMD were significantly improved. The serum β C-terminal telopeptide of type I collagen (β-CTX) in those with T-scores > -1 patients significantly decreased after three months treatment. The formation marker serum osteocalcin (OC) turned from negative to positive after 6 months, representing the effect of kefir treatment. Serum parathyroid hormone (PTH) increased significantly after treatment with kefir, but decreased significantly in the control group. PTH may promote bone remodeling after treatment with kefir for 6 months. In this pilot study, we concluded that kefir-fermented milk therapy was associated with short-term changes in turnover and greater 6-month increases in hip BMD among osteoporotic patients.


TRIAL REGISTRATION
ClinicalTrials.gov NCT02361372.
Neurostimulation for Parkinson ’ s Disease with Early Motor Complications

W.M.M. Schuepbach, J. Rau, K. Knudsen, J. Volkmann, P. Krack, L. Timmermann, T.D. Hälbig, H. Hesekamp, S.M. Navarro, N. Meier, D. Falk, M. Mehdorn, S. Paschen, M. Maarouf, M.T. Barbe, G.R. Fink, A. Kupsch, D. Gruber, G.-H. Schneider, E. Seigneuret, A. Kistner, P. Chaynes, F. Ory-Magne, C. Brefel Courbon, J. Vesper, A. Schnitzler, L. Wojtecki, J.-L. Houeto, B. Bataille, D. Maltête, P. Damier, S. Raoul, F. Sixel-Doering, D. Hellwig, A. Gharabaghi, R. Krüger, M.O. Pinsker, F. Amtage, J.-M. Régis, T. Witjas, S. Thobois, P. Mertens, M. Kloss, A. Hartmann, W.H. Oertel, B. Post, H. Speelman, Y. Agid, C. Schade-Brittinger, and G. Deuschl, for the EARLYSTIM Study Group*
Intravenous recombinant human relaxin in compensated heart failure: a safety, tolerability, and pharmacodynamic trial.

BACKGROUND
Relaxin is upregulated in human heart failure (HF). Animal and clinical data suggest beneficial hemodynamic and renal effects from vasodilation. We determined safety, tolerability, and pharmacodynamic effects of human Relaxin in stable HF.


METHODS AND RESULTS
Sixteen patients were treated with open-label intravenous Relaxin in 3 dose-escalation cohorts and monitored hemodynamically for 24-hour infusion and postinfusion periods and followed until Day 30. The safety demonstrated in Group A (8-hour sequential infusions at dose levels of 10, then 30, and then 100 microg x kg x day equivalents) allowed escalation to Group B (240, 480, and 960 microg x kg x day). The highest safe dose, 960 microg x kg x day, was selected for a 24-hour infusion in Group C. Relaxin showed no adverse effects; produced hemodynamic effects consistent with vasodilation (ie, trends toward increases in cardiac index, decreases in pulmonary wedge pressure, and decreases in circulating NT-pro BNP without inducing hypotension; improved markers of renal function [creatinine, blood urea nitrogen]). The highest dose caused a transient elevation in creatinine and blood urea nitrogen at Day 9 that was without apparent clinical significance.


CONCLUSIONS
Relaxin was safe and well-tolerated in patients with stable HF, and preliminary pharmacodynamic responses suggest it causes vasodilation. Further evaluation of the safety and efficacy of this drug in HF appears warranted.
Magma-assisted rifting in Ethiopia

The rifting of continents and evolution of ocean basins is a fundamental component of plate tectonics, yet the process of continental break-up remains controversial. Plate driving forces have been estimated to be as much as an order of magnitude smaller than those required to rupture thick continental lithosphere. However, Buck has proposed that lithospheric heating by mantle upwelling and related magma production could promote lithospheric rupture at much lower stresses. Such models of mechanical versus magma-assisted extension can be tested, because they predict different temporal and spatial patterns of crustal and upper-mantle structure. Changes in plate deformation produce strain-enhanced crystal alignment and increased melt production within the upper mantle, both of which can cause seismic anisotropy. The Northern Ethiopian Rift is an ideal place to test break-up models because it formed in cratonic lithosphere with minor far-field plate stresses. Here we present evidence of seismic anisotropy in the upper mantle of this rift zone using observations of shear-wave splitting. Our observations, together with recent geological data, indicate a strong component of melt-induced anisotropy with only minor crustal stretching, supporting the magma-assisted rifting model in this area of initially cold, thick continental lithosphere.
Surrealist Art and Writing, 1919-1939: The Gold of Time

1. Introduction 2. Breaking the institutional codes: revolution in the classroom 3. The politics of dream and the dream of politics 4. In the service of which revolution? An aborted incarnation of the dream: Marxism and Surrealism 5. Surrealism and painting (The ineffable) 6. The Surrealist woman and the colonial other.
Do pancrelipase delayed-release capsules have a protective role against nonalcoholic fatty liver disease after pancreatoduodenectomy in patients with pancreatic cancer? A randomized controlled trial.

BACKGROUND
The aim of this randomized controlled trial (RCT) was to investigate whether pancrelipase protects against nonalcoholic fatty liver disease (NAFLD) development after pancreatoduodenectomy in patients with pancreatic cancer better than conventional pancreatic enzyme supplementation.


METHODS
A total of 57 patients were randomly assigned to the study group (n = 29; pancrelipase replacement therapy) or the control group (n = 28; conventional pancreatic enzyme supplementation). NAFLD was defined as a liver-to-spleen attenuation ratio less than 0.9 on CT. Clinical and laboratory findings were also assessed.


RESULTS
NAFLD was observed in 6/29 patients (21%) in the study group, and 11/28 patients (39%) in the control group, but this was not a statistically significant difference. In the control group, crossover to pancrelipase replacement therapy upon NAFLD diagnosis produced improvement in five out of 10 patients. Multivariate analysis showed that advanced age and extended resection were independent risk factors for NAFLD development.


CONCLUSION
This RCT did not show a significant protective effect of pancrelipase replacement therapy over conventional pancreatic enzyme supplementation on NAFLD development after pancreatoduodenectomy for pancreatic cancer. Further studies are clearly required to investigate the etiology of and new therapeutic strategies for treatment-resistant NAFLD (UMIN 000019817).
Trichoscopy Simplified

It has been a long while since skin surfaces and skin lesions have been examined by dermoscopy. However examining the hair and the scalp was done again recently and gained attention and slight popularity by the practical tool, namely trichoscopy, which can be called in a simplified way as a dermoscopy of the hair and the scalp. Trichoscopy is a great tool to examine and asses an active scalp disease and hair and other signs can be specific for some scalp and hair diseases. These signs include yellow dots, dystrophic hairs, cadaverized (black dots), white dots and exclamation mark hairs. Trichoscopy magnifies hair shafts at higher resolution to enable detailed examinations with measurements that a naked eye cannot distinguish nor see. Trichoscope is considered recently the newest frontier for the diagnosis of hair and scalp disease. Aim of this paper. The aim of this paper is to simplify and sum up the main trichoscopic readings and findings of hair and scalp disorders that are commonly encountered at clinic dermatology settings.