LLukas22/scidocs huggingface dataset:
Fitness for entering a simple exercise program and mortality: a study corollary to the exercise introduction to enhance performance in dialysis (EXCITE) trial.

BACKGROUND/AIMS
In this corollary analysis of the EXCITE study, we looked at possible differences in baseline risk factors and mortality between subjects excluded from the trial because non-eligible (n=216) or because eligible but refusing to participate (n=116).


METHODS
Baseline characteristics and mortality data were recorded. Survival and independent predictors of mortality were assessed by Kaplan-Meier and Cox regression analyses.


RESULTS
The incidence rate of mortality was higher in non-eligible vs. eligible non-randomized patients (21.0 vs. 10.9 deaths/100 persons-year; P<0.001). The crude excess risk of death in non-eligible patients (HR 1.96; 95% CI 1.36 to 2.77; P<0.001) was reduced after adjustment for risk factors which differed in the two cohorts including age, blood pressure, phosphate, CRP, smoking, diabetes, triglycerides, cardiovascular comorbidities and history of neoplasia (HR 1.60; 95% CI 1.10 to 2.35; P=0.017) and almost nullified after including in the same model also information on deambulation impairment (HR 1.16; 95% CI 0.75 to 1.80; P=0.513).


CONCLUSIONS
Deambulation ability mostly explains the difference in survival rate in non-eligible and eligible non-randomized patients in the EXCITE trial. Extending data analyses and outcome reporting also to subjects not taking part in a trial may be helpful to assess the representability of the study population.
ASTD: Arabic Sentiment Tweets Dataset

This paper introduces ASTD, an Arabic social sentiment analysis dataset gathered from Twitter. It consists of about 10,000 tweets which are classified as objective, subjective positive, subjective negative, and subjective mixed. We present the properties and the statistics of the dataset, and run experiments using standard partitioning of the dataset. Our experiments provide benchmark results for 4 way sentiment classification on the dataset.
B4V2G: Bluetooth for electric vehicle to smart grid connection

After years of research, full electric vehicles are starting to be commercialized. The main limitations that full electric vehicles have are large costs, limitations in battery technologies, limited driving range and lack of adequate electrical infrastructure. This work, starting from the state of the art of the connection protocols between electric vehicle and smart grid, proposes a service infrastructure that uses smartphone and bluetooth connection.
HELMINTH OVA CONTROL IN WASTEWATER AND SLUDGE FOR AGRICULTURAL REUSE

S WATER AND HEALTH – Vol. II-Helminth ova control in wastewater and sludge for agriculture reuse-B.
Ceramic veneers for smile optimization : a multidisciplinary approach

People have always sought an attractive smile in harmony with an esthetic appearance. This trend is steadily growing as it influences one’s self esteem and psychological well-being.1,2 Faced with highly esthetic demanding patients, the practitioner should guarantee esthetic outcomes involving conservative procedures. This is undoubtedly challenging and often requiring a perfect multidisciplinary approach.3
Qudit versions of the qubit π / 8 gate

When visualized as an operation on the Bloch sphere, the qubit π/8 gate corresponds to 1/8 of a complete rotation about the vertical axis. This simple gate often plays an important role in quantum information theory, typically in situations for which Pauli and Clifford gates are insufficient. Most notably, if it supplements the set of Clifford gates, then universal quantum computation can be achieved. The π/8 gate is the simplest example of an operation from the third level of the Clifford hierarchy (i.e., it maps Pauli operations to Clifford operations under conjugation). Here we derive explicit expressions for all qudit (d-level, where d is prime) versions of this gate and analyze the resulting group structure that is generated by these diagonal gates. This group structure differs depending on whether the dimensionality of the qudit is two, three, or greater than three. We then discuss the geometrical relationship of these gates (and associated states) with respect to Clifford gates and stabilizer states. We present evidence that these gates are maximally robust to depolarizing and phase-damping noise, in complete analogy with the qubit case. Motivated by this and other similarities, we conjecture that these gates could be useful for the task of qudit magic-state distillation and, by extension, fault-tolerant quantum computing. Very recently, independent work by Campbell et al. confirmed the correctness of this intuition, and we build upon their work to characterize noise regimes for which noisy implementations of these gates can (or provably cannot) supplement Clifford gates to enable universal quantum computation.
Preventing SQL Injection attack using pattern matching algorithm

SQL injection attacks, a class of injection flaw in which specially crafted input strings leads to illegal queries to databases, are one of the topmost threats to web applications. A Number of research prototypes and commercial products that maintain the queries structure in web applications have been developed. But these techniques either fail to address the full scope of the problem or have limitations. Based on our observation that the injected string in a SQL injection attack is interpreted differently on different databases. A characteristic diagnostic feature of SQL injection attacks is that they change the intended structure of queries issued. Pattern matching is a technique that can be used to identify or detect any anomaly packet from a sequential action. Injection attack is a method that can inject any kind of malicious string or anomaly string on the original string. Most of the pattern based techniques are used static analysis and patterns are generated from the attacked statements. In this paper, we proposed a detection and prevention technique for preventing SQL Injection Attack (SQLIA) using Aho–Corasick pattern matching algorithm. In this paper, we proposed an overview of the architecture. In the initial stage evaluation, we consider some sample of standard attack patterns and it shows that the proposed algorithm is works well against the SQL Injection Attack. Keywords—SQL Injection Attack; Pattern matching; Static Pattern; Dynamic Pattern
Distal pancreatectomy with celiac axis resection: what are the added risks?

BACKGROUND
Reported series of a distal pancreatectomy with celiac axis resection (DP-CAR) are either small or not adequately controlled. The aim of this analysis was to report a multicentre series of modified Appleby procedures with a comparison group to determine the relative operative risk.


METHODS
Data were gathered through the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) Pancreatectomy Demonstration Project. Over 14 months, 822 patients underwent a distal pancreatectomy at 43 institutions. Twenty of these patients (2.4%) also underwent a celiac axis resection. DP-CAR patients were matched by age, gender, BMI, serum albumin, ASA class, gland texture, duct size and pathology to 172 patients undergoing DP alone.


RESULTS
The majority of DP and DP-CAR patients had adenocarcinomas (61% and 60%). The median operative time for a DP alone was shorter than for a DP-CAR (207 versus 276 min, P < 0.01). Post-operative acute kidney injury (1% versus 10%, P < 0.03) and 30-day mortality were higher after a DP-CAR (1% versus 10%, P < 0.03).


CONCLUSION
A distal pancreatectomy with celiac axis resection is associated with increased operative time, post-operative acute kidney injury and a 10% operative mortality. The decision to offer a modified Appleby procedure for a body of pancreas tumour should be made with full disclosure of the increased risks.
Continuous Hemodynamic Monitoring in Acute Stroke: An Exploratory Analysis

INTRODUCTION
Non-invasive, continuous hemodynamic monitoring is entering the clinical arena. The primary objective of this study was to test the feasibility of such monitoring in a pilot sample of Emergency Department (ED) stroke patients. Secondary objectives included analysis of hemodynamic variability and correlation of continuous blood pressure measurements with standard measurements.


METHODS
This study was a secondary analysis of 7 stroke patients from a prospectively collected data set of patients that received 2 hours of hemodynamic monitoring in the ED. Stroke patients were included if hemorrhagic or ischemic stroke was confirmed by neuroimaging, and symptom onset was within 24 hours. They were excluded for the presence of a stroke mimic or transient ischemic attack. Monitoring was performed using the Nexfin device (Edwards Lifesciences, Irvine CA).


RESULTS
The mean age of the cohort was 71 ± 17 years, 43% were male, and the mean National Institute of Health Stroke Scale (NIHSS) was 6.9 ± 5.5. Two patients had hemorrhagic stroke. We obtained 42,456 hemodynamic data points, including beat-to-beat blood pressure measurements with variability of 18 mmHg and cardiac indices ranging from 1.8 to 3.6 l/min/m2. The correlation coefficient between continuous blood pressure measurements with the Nexfin device and standard ED readings was 0.83.


CONCLUSION
This exploratory investigation revealed that continuous, noninvasive monitoring in the ED is feasible in acute stroke. Further research is currently underway to determine how such monitoring may impact outcomes in stroke or replace the need for invasive monitoring.
Study on advanced power device performance under real circuit conditions with an exact power loss simulator

Power losses of 700V 2.7mOmegacm2 SiC-MOSFETs including influences of circuit stray inductances have been investigated with an originally developed circuit power loss simulator. The device parameters of the SiC-MOSFETs for the power loss calculation are extracted from a SiC-IEMOSFET fabricated at AIST PERC. The power losses of three types of chip areas are investigated and compared to power loss of a CoolMOS. The switching loss energies of the SiC-MOSFETs are larger than that of the CoolMOS in the same circuit conditions. The maximum switching frequencies of the SiC-MOSFETs are 1/2 ~ 2/3 times lower than that of the CoolMOS. Based on total circuit power loss calculation results, heatsink volumes for a half bridge type DC-DC converter at 200kHz operation are estimated. In the case of the SiC- MOSFET3(smallest chip size)/SiC-SBD pair, the heatsink volume can be reduced to about 45% compared to the CoolMOS/SiC-SBD pair due to the Tj=200degC operation and the lower circuit power loss.
ff ects of low-dose nifedipine on urinary protein excretion rate in patients with renal disease

Conclusions. (1) Nifedipine 10 mg orally did not impair tubular protein reabsorption. (2) Nifedipine Background. The observation that proteinuria is an important determinant of the progression of renal had no immediate antiproteinuric effect despite the observed blood pressure reduction. (3) Nifedipine disease has prompted numerous studies on the effects of antihypertensive agents on protein excretion. increased proteinuria in ambulatory urine collections. This latter observation might explain the seemingly Reports on the proteinuric effects of calcium-channel blockers are quite controversial. It has been suggested different effects of dihydropyridine calcium-channel blockers as reported in previous studies. that the short-acting dihydropyridine calcium-channel blocker nifedipine increases protein excretion by inter
Analysis of facial growth in subjects with syndromic ectodermal dysplasia: a longitudinal analysis.

OBJECTIVE
To examine the craniofacial growth pattern of patients diagnosed with syndromic ectodermal dysplasia.


DESIGN
Mixed longitudinal analysis of lateral cephalograms.


SETTING
The data were analysed using a multilevel modelling technique with the MLwiN application software and the results presented numerically and graphically.


SAMPLE POPULATION
All 61 subjects had severe hypodontia with the number of absent teeth (excluding third molars) ranging from 6 to 28 (mean = 15.4). At presentation the subjects had a mean age of 133 months and were followed longitudinally for between one and five subsequent occasions (mean 2.66 occasions; mean age at completion of observation 207 months).


OUTCOME MEASURES
Lateral cephalograms taken at each visit.


EXPERIMENTAL VARIABLES
Analysis of four angular measurements and four linear measurements, together with one calculated ratio.


RESULTS
Growth curves are presented showing the trends of craniofacial growth.


CONCLUSIONS
The most significant findings were for a universal tendency for the individuals to undergo a change in sagittal relationship of the jaws, becoming markedly more Class III with time. We have also demonstrated a significant difference in growth between the anterior and posterior face heights indicating that the subjects have a tendency to an anterior growth rotation.
Consequences of X-linked hypohidrotic ectodermal dysplasia for the human jaw bone.

Mutations of the Eda gene, which encodes for ectodysplasin-A1, result in X-linked hypohydrotic ectodermal dysplasia (XLHED). This pathology may lead to severe oligodontia, subsequently requiring implant therapy. Since Eda is suspected to participate in bone development, the jaw bone status was investigated in XLHED patients in order to adjust the surgical protocol. Using computed tomography, densitometric profiles and 3D reconstructions, the bone structure was analyzed and compared to that of control individuals; our results showed that the morphological changes comprised mandibular bone flattening. Craniofacial CT scans showed medullary bone hyperdensity, including in the mandibular symphysis area, where implants must be placed. These alterations in bone structure were also observed in locations where the presence/absence of teeth cannot interfere. If the changes in jaw bone morphology can be a consequence of oligodontia, the changes in bone structure seem to be tooth-independent and suggest a direct effect of the mutation on bone formation and/or remodeling.
Syntactic Analysis Using Finite Patterns: A New Parsing System for Czech

Syntactic analysis of natural languages is considered to be one of the basic steps to advanced natural language processing, such as logical analysis or information retrieval with natural language texts. The Czech language can be characterized as a morphologically rich language with a relatively free word order, which further complicates the problem of syntactic analysis. Current parsing systems for Czech fight many problems including low precision or high ambiguity of the parser output. In this paper, we show a new approach to syntactic analysis of free-word-order languages based on the idea of pattern matching linking rules. The system, named SET, is currently developed and tested with the Czech language as a representative of free-word-order languages with very rich morphological system. We briefly mention current approaches and parsing systems for Czech. Then we describe the basic ideas as well as details of SET’s prototype implementation of the pattern matching approach to syntactic analysis. We also offer preliminary analysis of the system parsing precision and discuss the advantages and disadvantages of this approach.
Multiple regression of cost data: use of generalised linear models.

OBJECTIVE
Choosing an appropriate method for regression analyses of cost data is problematic because it must focus on population means while taking into account the typically skewed distribution of the data. In this paper we illustrate the use of generalised linear models for regression analysis of cost data.


METHODS
We consider generalised linear models with either an identity link function (providing additive covariate effects) or log link function (providing multiplicative effects), and with gaussian (normal), overdispersed poisson, gamma, or inverse gaussian distributions. These are applied to estimate the treatment effects in two randomised trials adjusted for baseline covariates. Criteria for choosing an appropriate model are presented.


RESULTS
In both examples considered, the gaussian model fits poorly and other distributions are to be preferred. When there are variables of prognostic importance in the model, using different distributions can materially affect the estimates obtained; it may also be possible to discriminate between additive and multiplicative covariate effects.


CONCLUSIONS
Generalised linear models are attractive for the regression of cost data because they provide parametric methods of analysis where a variety of non-normal distributions can be specified and the way covariates act can be altered. Unlike the use of data transformation in ordinary least-squares regression, generalised linear models make inferences about the mean cost directly.
Simulation of cathode ray tube

The Cathode Ray Tube (CRT) experiment performed by J. J. Thomson, is one of the most well-known physical experiments, which led to the discovery of electrons. The experiment could also describe characteristic properties, essentially, its affinity towards positive charge, and its charge to mass ratio. This paper describes the simulation of J. J. Thomson's Cathode Ray Tube experiment. The major contribution of this work is the new approach for modelling this experiment, with a great deal of accuracy and precision, using the equations of physical laws to describe the motion of the electrons. The motion of the electrons can be manipulated and recorded by the user, by assigning different values to the experimental parameters. This can be used as a good learning tool by the needy.
Extraction of Copper at Elevated Feed Concentrations

A number of flowsheets have been designed and operated, or are currently being considered, to extract copper from leach solutions having much more copper than the 4 g/L levels typically found in heap leach liquors. Dealing with these solutions has required that the envelope for “normal” copper solvent extraction be pushed beyond the usually considered limits. Others have published information on flowsheets to recover copper from leach liquors containing over 25 g/L copper. Secondary solvent extraction circuits are often required to attain satisfactory overall recoveries. This paper reviews some of the issues faced in three pilot plant circuits that were operated by SGS Lakefield Research to produce cathode copper from solutions containing 8 to 20 g/L Cu. The primary objective was to maximize copper extraction using one solvent extraction circuit. The role of feed acidity and the disposition of impurities such as iron and chloride are considered. The challenges of running short SX piloting campaigns are discussed.
A combinatorial proof of the Cayley-Hamilton theorem

An elementary combinatorial proof of the Cayley-Hamilton theorem is given. At the conclusion of the proof I discuss a connection with a combinatorial theory developed by Foata and Cartier.
Compressed sensing - a look beyond linear programming

Recently, significant attention in compressed sensing has been focused on basis pursuit, exchanging the cardinality operator with the l1-norm, which leads to a linear formulation. Here, we want to look beyond using the l1-norm in two ways: investigating non-linear solutions of higher complexity, but closer to the original problem for one, and improving known low complexity solutions based on matching pursuit using rollout concepts. Our simulation results concur with previous findings that once x is "sparse enough", many algorithms find the correct solution, but for averagely sparse problems we find that the l1-norm often does not converge to the correct solution - in fact being outperformed by matching pursuit based algorithms at lower complexity. The non-linear algorithm we suggest has increased complexity, but shows superior performance in this setting.
The metabolic syndrome and risk factors for biliary tract cancer: a case-control study in China.

OBJECTIVES
Recent data show that the metabolic syndrome may play a role in several cancers, but the etiology for biliary tract cancer is incompletely defined. The present aim was to evaluate risk factors for biliary tract cancer in China.


METHODS
A case-control study in which cases were biliary tract cancer patients referred to Peking Union Medical College Hospital (PUMCH). Controls were randomly selected from an existing database of healthy individuals at the Health Screening Center of PUMCH. Data on the metabolic syndrome, liver diseases, family history, and history of diabetes and hypertension were collected by retrospective review of the patients' records and health examination reports or by interview.


RESULTS
A total of 281 patients (102 intrahepatic cholangiocarcinoma (ICC), 86 extrahepatic cholangiocarcinoma (ECC) and 93 gallbladder carcinoma (GC)) and 835 age- and sex-matched controls were enrolled. HBsAg+/anti-HBc+ (P=0.002), history of diabetes (P=0.000), cholelithiasis (P=0.000), TC (P=0.003), and HDL (P=0.000) were significantly related to ICC. Cholelithiasis (P=0.000), Tri (P=0.001), LDL (P=0.000), diabetes (P=0.000), Apo A (P=0.000) and Apo B (P=0.012) were significantly associated with ECC. Diabetes (P=0.017), cholelithiasis (P=0.000) and Apo A (P=0.000) were strongly inversely correlated with GC.


CONCLUSION
Cholelithiasis, HBV infection and metabolic symptoms may be potential risk factors for the development of biliary tract cancer.
Dynamic Algorithms for Graphs with Treewidth 2

In this paper, we consider algorithms for maintaining tree-decompositions with constant bounded treewidth under edge and vertex insertions and deletions for graphs with treewidth at most 2 (also called: partial 2-trees, or series-parallel graphs), and for almost trees with parameter k. Each operation can be performed in O(log n) time. For a large number of graph decision, optimization and counting problems, information can be maintained using O(log n) time per update, such that queries can be resolved in O(log n) or O(1) time. Similar results hold for the classes of almost trees with parameter k, for xed k.
ROSRV: Runtime Verification for Robots

We present ROSRV, a runtime verification framework for robotic applications on top of the Robot Operating System (ROS [8]), a widely used open-source framework for robot software development. ROSRV aims to address the safety and security issues of robots by providing a transparent monitoring infrastructure that intercepts and monitors the commands and messages passing through the system. Safety and security properties can be defined in a formal specification language, and are ensured by automatically generated monitors. ROSRV integrates seamlessly with ROS—no change in ROS nor the application code is needed. ROSRV has been applied and evaluated on a commercial robot.