Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Expressiveness of Languages for Complex Event Recognition

Complex Event Recognition (CER for short) has recently gained attention as a mechanism for detecting patterns in streams of continuously arriving event data. Numerous CER systems and languages have been proposed in the literature, commonly based on combining operations from regular expressions (sequencing, iteration, and disjunction) and relational algebra (e.g., joins and ﬁlters). While these languages are naturally ﬁrst-order, meaning that variables can only bind single elements, they also provide capabilities for ﬁltering sets of events that occur inside iterative patterns; for example requiring sequences of numbers to be increasing. Unfortunately, these type of ﬁlters usually present ad-hoc syntax and under-deﬁned semantics, precisely because variables cannot bind sets of events. As a result, CER languages that provide ﬁltering of sequences commonly lack rigorous semantics and their expressive power is not understood. In this paper we embark on two tasks: First, to deﬁne a denotational semantics for CER that naturally allows to bind and ﬁlter sets of events; and second, to compare the expressive power of this semantics with that of CER languages that only allow for binding single events. Concretely, we introduce Set-Oriented Complex Event Logic (SO-CEL for short), a variation of the CER language introduced in [17] in which all variables bind to sets of matched events. We then compare SO-CEL with CEL, the CER language of [17] where variables bind single events. We show that they are equivalent in expressive power when restricted to unary predicates but, surprisingly, incomparable in general. Nevertheless, we show that if we restrict to sets of binary predicates, then SO-CEL is strictly more expressive than CEL. To get a better understanding of the expressive power, computational capabilities, and limitations of SO-CEL, we also investigate the relationship between SO-CEL and Complex Event Automata (CEA), a natural computational model for CER languages. We deﬁne a property on CEA called the *-property and show that, under unary predicates, SO-CEL captures precisely the subclass of CEA that satisfy this property. Finally, we identify the operations that SO-CEL is lacking to characterize CEA and introduce a natural extension of the language that captures the complete class of CEA under unary predicates
The Roles of Individual and Psychosocial Factors in Predicting Quality of Life Among Working Women in Shanghai

Working women are at a high risk of suffering from occupational stress and burnout, which can result in reducing Quality of Life (QoL). Guided by the QoL construct and Luban et al.’s conceptual framework, this study aimed to (a) investigate the roles of individual factors (i.e., age) and psychosocial factors (i.e., occupational stress, burnout) on QoL among working women, and (b) examine the age differences among study variables (young versus middle-aged groups). Participants were 375 working women (Mage = 42.06) recruited in Shanghai, China. They completed previously validated questionnaires assessing their occupational stress, burnout (emotional exhaustion, cynicism, and reduced professional efficacy), and QoL (physical health, psychological health, social relationship, and living environment). Confirmatory factor analysis, Pearson product-moment correlation, hierarchical regressions, and factorial multivariate analyses of variance (MANOVA) were used to examine the relationships and differences between occupational stress, burnout, and QoL among working women. Correlation and regression analyses indicated that occupational stress and burnout were significantly associated with QoL among these participants. Two one-factor MANOVAs demonstrated that young-aged working women had higher occupational stress and burnout, but lower levels of QoL than middle-aged women. These results suggest that adopting specific coping strategies to reduce or prevent occupational stress and burnout are needed to improve QoL among working women.
ƟI-SELECTION MODULE IMPLEMENTATION USING ADAPTIVE CORDIC FOR FFTARCHITECTURES

—This electronic document is a “live” template and already defines The overview of this paper is to design a micro rotation selection block for TW based FFT. This design is mainly based on Adaptive CORDIC algorithm. CORDIC stands for COordinate Rotation DIgital Computer. Two ways to implement the CORDIC algorithm are 1.Vector mode and 2. Rotation mode. The main difference between Vector and rotation are, vector mode is used to compute an angles at given point where as Rotation mode is used to compute the sine and cosine terms at given point. This paper mainly deals with vector method by using micro rotation for complex multiplications in FFT architectures. Ɵi-selection (Ɵi-sel) block for CORDIC based Twiddle Factor (TW) architecture is a computation approach which does an angle selection. CORDIC algorithm is easy to implement trigonometric, hyperbolic and exponential functions based on micro rotation for VLSI Signal processing. The simulation results are examined using Xilinx ISE 14.5Tool.
Multidisciplinary sarcoma tumor board: retroperitoneal liposarcoma.

Liposarcoma is a malignancy of fat that commonly develops in the retroperitoneum (1,2). In this anatomic location, tumors can be low grade, well differentiated (WD) or have an additional high grade, dedifferentiated (DD) component. Entirely WD tumors are typically indolent and do not metastasize, while tumors with a DD component are more aggressive and have distant metastatic potential. WD and DD liposarcoma can be regarded as opposite ends of a spectrum of disease aggressiveness (e.g., lipoma-like WD to rhabdomyoblastic DD) (3). For patients with retroperitoneal (RP) liposarcoma, high resolution, contrast enhanced CT of the abdomen and pelvis is critical as part of the initial evaluation (4). This should be performed if not done already at the time of referral. WD liposarcomas are well-defined round or lobulated masses predominantly composed of macroscopic fat with few, thin septations (5). Non-fatty, soft tissue density areas with a ground glass appearance can occur and typically constitute less than 25% of the tumor (6). DD areas manifest as discrete nodular soft tissue density areas often with good demarcation from surrounding fat and show variable contrast enhancement. Internal septations are thicker (>2 mm) in DD. Calcifications may also be seen and would suggest DD liposarcoma if found in the nonfatty areas. For patients with suspected DD disease, CT of the chest should be obtained as part of staging to rule out distant metastasis to the lungs (4). To confirm the diagnosis of RP liposarcoma, percutaneous core needle biopsy can be performed. Biopsy may not always be necessary, especially in cases in which the radiologic features highly suggest the diagnosis. On histopathologic examination, WD liposarcoma consists of adipocytes of varying size with fibrous septae and interspersed hyperchromatic cells (7). DD areas are typically juxtaposed next to WD areas with an abrupt transition from the adipocytic (WD) to non-adipocytic, high grade appearing areas containing prominent mitotic figures (DD). Both WD and DD liposarcoma have amplification of 12q13-15 which includes several important genes such as MDM2 and CDK4. This molecular feature is considered pathognomonic and can be used for the definitive diagnosis if the histologic features alone are unclear. For all patients with nonmetastatic retroperitoneal liposarcoma, surgery is the mainstay of treatment. However, in the retroperitoneum, tumors are frequently massive in size and can potentially invade critical organs and major blood vessels, making surgery very difficult. Whether due to technical factors (e.g., “positive” margins) or disease biology [e.g., “field defect” (8)], recurrence rates after resection are high and do not plateau over time (9). Radiation therapy may offer improved local control, but the true benefit for retroperitoneal liposarcoma remains controversial (10). Sarcoma MDT Series
The Neural Correlates in the Presumed Extrasensory Faculties of the Medium and in the Perception on the Sacred

Starting from dozens of studies on neural correlates during mystical experiences and the use of extrasensory skills from the common sense, I proceeded to contextualize in a more scientific way the concept of extrasensory mediums and faculties, then analyzing the state of the art in relation to discoveries in the neuro scientific field concerning precisely the alleged extrasensory faculties possessed and the perception of the sacred in the subjects of the researches so far evaluated. From this examination there emerges a direct involvement of the cerebral areas of the frontal and temporal lobes and in general of the circuits connected to the limbic system. This thematic research has deepened the object of study concerning the phenomena of subjective perception; however, in the last part I proceeded instead to suggest a research-oriented research scheme not so much of the subjective profiles already known as much as the hypothesis of the existence of the entities perceived by the mediums, therefore an objective profile, in order to better know the external context of the medium. Giulio Perrotta* Department of Criminal and Investigative Psychology Studies, Italy *Address for Correspondence Giulio Perrotta, Department of Criminal and Investigative Psychology Studies, University of Federiciana, Cosenza, Italy, Phone: (+39) 349 21 08 872; E-mail: giuliosr1984@hotmail.it Submission: May 23, 2019 Accepted: July 03, 2019 Published: July 05, 2019 Copyright: © 2019 Perrotta G, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Review Article Open Access
First-ever ischemic stroke and increased risk of incident heart disease in older adults

Objective Poststroke cardiac complications are common. It is unknown whether the reason is shared risk factors and preexisting heart disease or stroke-associated myocardial and coronary injury. We tested the hypothesis that first-ever ischemic stroke is associated with increased risk of incident cardiovascular complications in patients without known preexisting cardiac comorbid conditions. Methods This population-based cohort study included residents in Ontario between 2002 and 2012 who were ≥66 years of age without known cardiovascular disease. We compared the incident risk of major adverse cardiovascular events (MACE), defined as myocardial infarction, unstable angina, congestive heart failure, coronary artery disease, coronary artery revascularization, or cardiovascular death, at 1 year in patients with first-ever ischemic stroke vs propensity-matched individuals without stroke (4:1 matching using 31 variables). To estimate cause-specific hazard ratios (HRs), we used Cox regression models adjusted for variables with weighted standardized differences >0.10 or known to influence the risk of MACE. Results We included 21,931 patients with first-ever ischemic stroke and 71,696 propensity-matched individuals, well balanced on all variables used for propensity matching. First-ever ischemic stroke was associated with increased unadjusted incident MACE risk (HR 4.5, 95% confidence interval [CI] 4.3–4.8). MACE adjusted risk was highest in the first 30 days (HR 25.0, 95% CI 20.5–30.5) and declined both at 31 to 90 days (HR 4.8, 95% CI 4.1–5.7) and at 91 to 365 days (HR 2.2, 95% CI 2.0–2.4). Conclusions In this large population-based study, ischemic stroke was independently associated with increased risk of incident MACE. Whether this association is explained by stroke-associated cardiac injury, preexisting subclinical cardiovascular comorbid conditions, or both remains unknown.
Nineteen Years Review of Hydroxyapatite Ceramic Coated Hip Implants: A Clinical and Histological Evaluation

The goal of hip arthroplasty is to restore the patient to an active and pain free life for ever. Unfortunately, prosthetic implants fail because of loosening, wear or infection. This study sets out to ascertain whether or not Hydroxyapatite hip arthroplasty (HA) will produce long-lasting function of at least ten years in unselected patients of all ages and all diagnoses. Cemented implants used in hip arthroplasty often loosen after ten or more years of use. This is partly mechanical but also associated with debris disease arising from plastic wear products. Cementing techniques have been improved and the Swedish Hip Register [1] demonstrates that the revision rates have been reduced with improved cementing techniques. Revision surgery after cemented arthroplasty is difficult and may be complicated by fracture of the host bone Bioactive materials are being used to secure joint implants [2,3] and this paper presents the results of a consecutive series of hip arthroplasties carried out over a total period of over 19 years using the Furlong Hydroxyapatite Ceramic Coated hip prosthesis. [4, 5]
Population Pharmacokinetic Modeling and Pharmacodynamic Target Attainment Simulation of Piperacillin/Tazobactam for Dosing Optimization in Late Elderly Patients with Pneumonia

The aim of this study was to develop a population pharmacokinetic model for piperacillin (PIPC)/tazobactam (TAZ) in late elderly patients with pneumonia and to optimize the administration planning by applying pharmacokinetic/pharmacodynamic (PK/PD) criteria. PIPC/TAZ (total dose of 2.25 or 4.5 g) was infused intravenously three times daily to Japanese patients over 75 years old. The plasma concentrations of PIPC and TAZ were determined using high-performance liquid chromatography and modeled using the NONMEM program. PK/PD analysis with a random simulation was conducted using the final population PK model to estimate the probability of target attainment (PTA) profiles for various PIPC/TAZ-regimen–minimum-inhibitory-concentration (MIC) combinations. The PTAs for PIPC and TAZ were determined as the fraction that achieved at least 50% free time > MIC and area under the free-plasma-concentration–time curve over 24 h ≥ 96 μg h/mL, respectively. A total of 18 cases, the mean age of which was 86.5 ± 6.0 (75–101) years, were investigated. The plasma-concentration–time profiles of PIPC and TAZ were characterized by a two-compartment model. The parameter estimates for the final model, namely the total clearance, central distribution volume, peripheral distribution volume, and intercompartmental clearance, were 4.58 + 0.061 × (CLcr − 37.4) L/h, 5.39 L, 6.96 L, and 20.7 L/h for PIPC, and 5.00 + 0.059 × (CLcr − 37.4) L/h, 6.29 L, 7.73 L, and 24.0 L/h for TAZ, respectively, where CLcr is the creatinine clearance. PK/PD analysis using the final model showed that in drug-resistant strains with a MIC > 8 μg/mL, 4.5 g of PIPC/TAZ every 6 h was required, even for the patients with a CLcr of 50–60 mL/min. The population PK model developed in this study, together with MIC value, can be useful for optimizing the PIPC/TAZ dosage in the over-75-year-old patients, when they are administered PIPC/TAZ. Therefore, the findings of present study may contribute to improving the efficacy and safety of the administration of PIPC/TAZ therapy in late elderly patients with pneumonia.
A Cohort Study of Exposure to Antihyperglycemic Therapy and Survival in Patients with Lung Cancer

We evaluated the effect of antihyperglycemic therapy on the survival of patients with lung cancer (LC). The analysis included patients with LC and concomitant type 2 diabetes. 15,929 patients were classified into five groups: metformin users, insulin users, metformin and insulin users, sulphonylurea users and non-diabetic group. A multivariate analysis showed that exposure to either metformin or to insulin was associated with a lower risk of LC-specific mortality, and this approached statistical significance (HR 0.82, 95% CI 0.72–92 for metformin and HR 0.65, 95% CI 0.44–95 for insulin). When deaths from all causes were considered, only metformin exposure was associated with a significantly lower risk of death (HR 0.82, 95% CI 0.73–0.92). Users of sulphonylurea were at a higher risk of LC-specific and overall mortality (HRs 1.19, 95% CI 0.99–1.43 and 1.22, 95% CI 1.03–1.45). Our study shows a positive effect of metformin on the survival of patients with LC. Moreover, our results show that exposure to insulin was associated with a lower risk of LC-specific mortality, but not with deaths from all causes. The study results suggested that users of sulphonylurea may be at a higher risk of LC-specific and overall mortality.
IMPROVEMENT OF CLASS IMBALANCE LEARNING TECHNIQUES USING UNSUPERVISED LEARNING APPROACHES

— Fraud is a hugely costly criminal activity which occurs in a number of domains. Data mining has been applied to fraud detection in both a supervised and non-supervised manner. When a supervised data mining approach is used, one of the biggest problems that are encountered is the problem of class imbalance. The class imbalance problem is not unique to the domain of fraud, but also occurs in fields as diverse as medical diagnosis and quality control. There are two basic means of overcoming the class imbalance problem; these are data methods and algorithmic methods. Data methods generally involve an under sampling, over sampling or hybrid over/under sampling approach. Other data method investigated include SMOTE, which uses a K-NN learner to artificially synthesize minority class samples. Algorithmic methods investigated include using either a mis-classification cost in the case of the Meta cost procedure or Meta cost thresholds. Other algorithmic methods include the use of learners which are not sensitive to the class imbalance problem. The different methods for overcoming the class imbalance problem are implemented using open-source software. 3 datasets are used to investigate the usefulness of the different methods. 2 of the datasets are from the domain of fraud, while the third is from the domain of medical diagnosis.
Symptomatology and Disease Conditions of Patients Visiting the Largest Tertiary Care Hospital in Punjab, Pakistan: A One-Day Point Prevalence Study

Background: Pakistan is a middle income, developing country with an immense disease burden. A sensitive perspective of what afflicts the general population will help the policy makers, to plan befitting services and health infrastructure, expend resources, devise medical curricula and determine research priorities, in line with the needs of the country. The present study aimed to find out the prevalence of symptoms and disease conditions with which patients visit the outpatient department of the largest tertiary care hospital in Punjab, i.e. Mayo Hospital, Lahore. Subjects and Methods: Symptoms, medical conditions and demographic details of all patients visiting all Outpatient Departments of Mayo hospital Lahore on 2nd May,2016 were recorded for the entire length of the (business) day. Simple descriptive analysis of prevalence rates of different conditions was recorded and analyzed later with the help of SPSS 16. Results: A total of 1997 patients visited the Out Patient Department on the day with Male to female ratio of 51: 49. Fever (13.2%)was the most prevalent symptom followed by headache (7.2%) body ache (6.7%) and breathlessness (6.3%). Respiratory system related symptoms made up 22.8% of the total complaints followed by Dermatology (14.8%) and then E.N. T (13.0%). The most common disease diagnosed was Hepatitis (8.55%) followed by Sore Throat (6.51 %) , Hypertension(4.92%) , Cataract ( 4.39%) and Tuberculosis (4.06%) . Conclusion: The research highlights significant social and medical challenges in Pakistan in general and Lahore in particular. It highlights the disease burden of the biggest tertiary care hospital in Pakistan with far ranging implications in our quest for Universal Health Coverage.
Autoregressive Models with Time-Varying Dependence and Stochastic Volatility: An Application to Inflation Forecasting

This article proposes an efficient estimation procedure for models containing multiple linear and non-linear time-varying parameters and stationarity restrictions. The methodology is based on a multivariate extension of the numerically accelerated importance sampling together with a Rao-Blackwellization step to construct a highly efficient estimation procedure. The approach compares favorably to the particle filter for likelihood evaluation. We base our analysis on a time-varying autogressive model with stochastic volatility. The proposed model is used to forecast U.S. C.P.I. inflation and showed superior results with respect to benchmark models. JEL classification: C32; C63; E37
Gender differences and areas of Internet behavior in seven years’ perspective

The objective of the study was the comparative analysis of areas of Internet behavior (use of Internet, relations and Internet Addiction) with regards to gender in seven years’ perspective. The study was conducted in two stages (2005 and 2012) among Polish students (N = 452). Results showed significant gender differences in the use of Internet. The use of Internet is no longer predictor of Internet Addiction in both men and women. The higher number of contacts limited to Internet was a predictor of Internet Addiction in both men and women, but lower self -esteem in women only. Men were more prone to Internet Addiction in comparison with women and this tendency is on the rise.
Probing Distributed Linear Algebra Operators in the Cloud

Various forms of linear algebra solvers form the back-bone of many machine learning training procedures. They lie on the critical path of model training, and hence optimizing the deployment of the linear algebra component is critical to improving the training time of distributed machine learning pipelines. However, how to efﬁciently deploy such distributed, performance-critical solvers in the public clouds remains unclear. Decisions such as “what Amazon EC2 instance type should I use” and “how many of them should I pay for” are made by developers usually based on past experience. In this work, we consider the task of deploying distributed linear algebra jobs written in Apache Spark on the public Amazon EC2 cloud. To efﬁciently probe and predict the run time of a linear algebra optimization job, we propose the minDAG primitive, a small representative portion of the full execution graph of an operator. We show that this primitive can be used to (1) effectively predict the completion time of the full job by running small prober jobs, and (2) determine elasticity-aware deployment plans (speciﬁcally, machine type to use) that can avoid launching jobs on inferior clusters.
Retrieving the Relevant Information from the Merged Ontology File Created From Relational Database

: As we know Database models, specially relational databases, enables information to be efficiently stored and queried, but it futile in the applications that require a more ‘enriched’ meaning i.e. Semantic information. So a successful new approach to represent semantic information has been defined in the last decade known as Ontologies. In the Semantic Web the information can be represented in the form of XML, RDF or OWL languages. Ontologies are the web documents generated to provide more accurate web content, thus by improving the performance of information retrieval. This paper has proposed an approach to automatically build an ontology file from a relational databases i.e. from mysql and from oracle. Then it performs merging on the files which are created from relational databases and then applying the SPARQL query on the merged ontology file we extract the relevant information which is needed for a user.