LLukas22/scidocs huggingface dataset:
Clinical evaluation of the PCA3 assay in guiding initial biopsy decisions.

PURPOSE
We evaluated the clinical utility of the PCA3 assay in guiding initial biopsy decisions in prostate cancer.


MATERIALS AND METHODS
A European, prospective, multicenter study enrolled men with a serum total prostate specific antigen of 2.5 to 10 ng/ml scheduled for initial biopsy. After digital rectal examination first catch urine was collected. PCA3 scores were determined using the PROGENSA(®) PCA3 assay and compared to biopsy outcome. The diagnostic accuracy of PCA3 was compared to total prostate specific antigen, prostate specific antigen density and %free prostate specific antigen.


RESULTS
In 516 men the positive biopsy rate was 40%. An increasing PCA3 score corresponded with an increasing probability of a positive biopsy. The mean PCA3 score was higher in men with a positive vs a negative biopsy (69.6 vs 31.0, median 50 vs 18, p <0.0001). The PCA3 score was independent of age, total prostate specific antigen and prostate volume. The PCA3 score (cutoff of 35) had a sensitivity of 64% and specificity of 76%. ROC analysis showed a significantly higher AUC for the PCA3 score vs total prostate specific antigen, prostate specific antigen density and %free prostate specific antigen. The PCA3 score was significantly higher in men with biopsy Gleason score 7 or greater vs less than 7, greater than 33% vs 33% or fewer positive cores and significant vs indolent prostate cancer. Inclusion of PCA3 in multivariable models increased their predictive accuracy by up to 5.5%.


CONCLUSIONS
The PROGENSA PCA3 assay can aid in guiding biopsy decisions. It is superior to total prostate specific antigen, prostate specific antigen density and %free prostate specific antigen in predicting initial biopsy outcome, and may be indicative of prostate cancer aggressiveness.
Cerebral ischemia in aneurysmal subarachnoid hemorrhage: a correlative microdialysis-PET study.

BACKGROUND AND PURPOSE
Cerebral microdialysis (MD) is discussed as a technique for detection of cerebral ischemia in subarachnoid hemorrhage; however, clinical data on cerebral blood flow (CBF) are limited in these patients. The main objective of this study was to investigate whether pathological MD parameters reflect a reduced regional CBF (rCBF) determined by 15O-H2O PET.


METHODS
Thirteen subarachnoid hemorrhage patients (age, 48.7+/-15.0 years; World Federation of Neurological Surgeons grade 1 to 5) were studied. Extracellular glucose, lactate, lactate/pyruvate (L/P) ratio, glutamate, and glycerol levels were analyzed hourly. rCBF was determined in the volume of interest of the MD catheter and all vascular territories. MD values were correlated to rCBF on the day of PET. Then, MD concentrations of asymptomatic versus ischemic phases (3-day medians) were analyzed.


RESULTS
In symptomatic patients (n=10), rCBF was significantly lower compared with controls (n=3, P=0.048). Glutamate correlated best with rCBF (r=-0.66; P=0.014), followed by glycerol (r=-0.62; P=0.021). The L/P ratio was most sensitive (0.82) and specific (1.0) in indicating symptoms of ischemia, but only during longer periods of ischemia.


CONCLUSIONS
rCBF correlates best with glutamate, followed by glycerol, whereas the L/P ratio is sensitive only after longer periods of ischemia. Clinically relevant regional metabolic derangements occur already above an rCBF of 20 mL x 100 g(-1).min(-1). Future research should focus on identifying alternative causes of metabolic derangement in subarachnoid hemorrhage patients and optimal treatment management in these patients.
End-to-end Hand Mesh Recovery from a Monocular RGB Image

In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackle the problem of reconstructing the full 3D mesh of a human hand from a single RGB image. In contrast to existing research on 2D or 3D hand pose estimation from RGB or/and depth image data, HAMR can provide a more expressive and useful mesh representation for monocular hand image understanding. In particular, the mesh representation is achieved by parameterizing a generic 3D hand model with shape and relative 3D joint angles. By utilizing this mesh representation, we can easily compute the 3D joint locations via linear interpolations between the vertexes of the mesh, while obtain the 2D joint locations with a projection of the 3D joints. To this end, a differentiable re-projection loss can be defined in terms of the derived representations and the ground-truth labels, thus making our framework end-to-end trainable. Qualitative experiments show that our framework is capable of recovering appealing 3D hand mesh even in the presence of severe occlusions. Quantitatively, our approach also outperforms the state-of-the-art methods for both 2D and 3D hand pose estimation from a monocular RGB image on several benchmark datasets.1
Early hemodynamic and neurohormonal response after transcatheter aortic valve implantation.

BACKGROUND
The conventional surgical aortic bioprostheses used for treatment of aortic stenosis (AS) are inherently stenotic in nature. The more favorable mechanical profile of the Medtronic CoreValve bioprosthesis may translate into a better hemodynamic and neurohormonal response.


PATIENTS AND METHODS
The early hemodynamic and neurohormonal responses of 56 patients who underwent successful transcatheter aortic valve implantation (TAVI) using the Medtronic CoreValve bioprosthesis for severe symptomatic AS were compared with those of 36 patients who underwent surgical aortic valve replacement (SAVR) using tissue valves in the same period.


RESULTS
At baseline, patients in the TAVI and SAVR group had comparable indexed aortic valve area (0.33 ± 0.1 vs 0.34 ± 0.1 cm² , respectively; P = .69) and mean transvalvular gradient (51.1 ± 16.5 vs 53.1 ± 14.3 mm Hg, respectively; P = .56). At 30-day follow-up, mean transvalvular gradient was lower in the TAVI group than in the SAVR group (10.3 ± 4 vs 13.1 ± 6.2 mm Hg, respectively; P = .015), and the indexed aortic valve area was larger in the TAVI group (1.0 ± 0.14 vs 0.93 ± 0.13 cm²/m²; P = .017). There was a trend toward a higher incidence of moderate patient-prosthesis mismatch in the surgical group compared with the TAVI group (30.5% vs 17.8%, respectively; P = .11). The overall incidence of prosthetic regurgitation (any degree) was higher in the TAVI group than in the SAVR group (85.7% vs 16.7%, respectively; P < .00001). The left ventricular mass index decreased after TAVI (175.1 ± 61.8 vs 165.6 ± 57.2 g/m²; P = .0003) and remained unchanged after SAVR (165.1 ± 50.6 vs 161 ± 64.8 g/m²; P = .81). Similarly, NT-ProBNP decreased after TAVI (3,479 ± 2,716 vs 2,533 ± 1,849 pg/mL; P = .033) and remained unchanged after SAVR (1,836 ± 2,779 vs 1,689 ± 1,533 pg/mL; P = .78). There was a modest correlation between natriuretic peptides and left ventricular mass index in the whole cohort (r = 0.4, P = .013).


CONCLUSION
In patients with severe AS, TAVI resulted in lower transvalvular gradients and higher valve areas than SAVR. Such hemodynamic performance after TAVI may have contributed to early initiation of a reverse cardiac remodeling process and a decrease in natriuretic peptides.
Prevention of Diabetes in Family Medicine

CONFLICT OF INTEREST
none declared.


INTRODUCTION
The incidence of diabetes type 2 (diabetes mellitus type 2 - DM 2) is rapidly increasing worldwide. Physical inactivity and obesity are the major determinants of the disease. Primary prevention of DM 2 entails health monitoring of people at risk category. People with impaired glycemic control are at high risk for development of DM 2 and enter the intensive supervision program for primary and secondary prevention.


OBJECTIVE OF THE RESEARCH
To evaluate the impact of metformin and lifestyle modification on glycemia and obesity in patients with prediabetes.


PATIENTS AND METHODS
The study was conducted on three groups of 20 patients each (total of 60 patients) aged from 45 to 80, with an abnormal glycoregulation and prediabetes. The study did not include patients who already met the diagnostic criteria for the diagnosis of diabetes. During the study period of 6 months, one group was extensively educated on changing lifestyle (healthy nutrition and increased physical activity), the second group was treated with 500 mg metformin twice a day, while the control group was advised about diet and physical activities but different from the first two groups. At beginning of the study, all patients were measured initial levels of blood glucose, HbA1C, BMI (Body Mass Index), body weight and height and waist size. Also the same measurements were taken at the end of the conducted research, 6 months later. For the assessment of diabetes control was conducted fasting plasma glucose (FPG) test and 2 hours after a glucose load, and HbA1C.


RESULTS
At the beginning of the study the average HbA1C (%) values in three different groups according to the type of intervention (lifestyle changes, metformin, control group) were as follows: (6.4 ± 0.5 mmol / l), (6.5 ± 1.2 mmol / l), (6.7 ± 0.5 mmol / l). At the end of the research, the average HbA1C values were: 6.2 ± 0.3 mmol / l, 6.33 ± 0.5 mmol / l and 6.7 ± 1.4 mmol / l. In the group of patients who received intensive training on changing lifestyle or group that was treated with metformin, the average reduction in blood glucose and HbA1C remained within the reference range and there were no criteria for the diagnosis of diabetes. Unlike the control group, a group that was well educated on changing habits decreased average body weight by 4.25 kg, BMI by 1.3 and waist size by 2.5 cm. Metformin therapy led to a reduction in the average weight of 3.83 kg, BMI of 1.33 and 3.27 for waist size. Changing lifestyle (healthy diet and increased physical activity) has led to a reduction in total body weight in 60% of patients, BMI in 65% of patients, whereas metformin therapy led to a reduction of the total body weight in 50%, BMI in 45% of patients. In the control group, the overall reduction in body weight was observed in 25%, and BMI in 15% of patients.


CONCLUSION
Modification of lifestyle, such as diet and increased physical activity or use of metformin may improve glycemic regulation, reduce obesity and prevent or delay the onset of developing DM 2.
Data-driven Selection of the Spline Dimension in Penalized Spline Regression: Supplementary Material

A number of criteria exist to select the penalty in penalized spline regression, but the selection of the number of spline basis functions has received much less attention in the literature. We propose to use a maximum likelihood-based criterion to select the number of basis functions in penalized spline regression. The criterion is easy to apply and we describe its theoretical and practical properties. The criterion is also extended to the generalized regression case.
The prescription opioid epidemic: an overview for anesthesiologists.

PURPOSE
The objectives for preparing this article were to review the historical context and epidemiology surrounding the North American prescription opioid crisis, to summarize the evidence regarding the benefits and harms of long-term opioid therapy for non-cancer pain, and to outline ways in which anesthesiologists may help ameliorate the problem.


SOURCE
We searched PubMed, Google Scholar, and EMBASE™ for relevant articles using various search terms, including pain, opioid epidemic, history of opioid use, perioperative care, and addiction. Related citations were further explored and searched depending on the specific subtopic of interest.


PRINCIPAL FINDINGS
In the 1980s and early 1990s, opioids were infrequently used for the treatment of chronic pain. Thereafter, however, physicians were gradually inculcated with the message that long-term opioid therapy was a safe and effective treatment option for patients with chronic non-cancer pain. Pharmaceutical companies supported this growing movement and employed aggressive and sometimes misleading marketing strategies for new opioid formulations. As a result, the practice of prescribing opioids flourished in the late 1990s. The surge in prescribing opioids was accompanied by a marked increase in opioid-related morbidity and mortality. This change in practice transpired despite the absence of randomized trials showing clinically significant benefit from the long-term use of opioids. Subsequently, however, a large and growing body of evidence has emerged quantifying the harms associated with long-term opioid therapy. Anesthesiologists widely prescribe opioids for acute and chronic pain; yet, as a group, they may be largely unaware of the current state of this growing epidemic and what role they can play to rectify this problem.


CONCLUSION
Anesthesiologists are well positioned to take a leadership role in the management of postoperative discharge opioid therapy in an effort to curb the overutilization of opioids. Furthermore, anesthesiologists who regularly prescribe opioids for chronic pain patients should appreciate the limited evidence base for this practice and communicate the risks of opioid therapy to their patients.
Particle Sampling by TEM Grid Filtration

Transmission electron microscopy (TEM) coupled with energy dispersive X-ray (EDX) offers a very comprehensive tool for individual particle analysis allowing the determination of size, morphology, specific surface, and elemental composition. This information is needed in aerosol studies, especially in the field of nanomaterials. However, observations with TEM require a controlled sampling on an adapted analysis support, namely TEM grid. Techniques allowing sampling on TEM grids are of great interest to aerosol analysis. Indeed, sample preparation is not required, thereby gaining time and avoiding a risk for the sample to be altered. The present study evaluates the efficiency of a new particle collection technique based on filtration through one class of TEM dedicated supports, namely TEM porous grids. Two types of porous grids, considered as the best on the market for this application, have been put to the test : the “Quantifoil” type porous grid which has a regular structure, and the “Holey” type (Agar Scientific). A filter holder has been developed specifically for this application, the MPS ® (“Mini-Particle Sampler”). Experimental tests have been carried out with a flow rate of 0.3 l.min . They show that the collection is operational in the 5 nm – 150 nm size range with a minimum efficiency of 1518% around 30 nm. Simulation confirms these results and shows an increased efficiency even below 5 nm and beyond 150 nm. The filter holder MPS designed in this study is a low cost, portable versatile and easy to use tool.
Automatic under-frequency load shedding mal-operation in power systems with high wind power penetration

Countries with a limited interconnection capacity suffer substantial frequency variations after large incidents so they use automatic under-frequency load shedding schemes to arrest the frequency decay. Some of these countries such as Portugal, Spain and Ireland also have very high wind penetrations. This can cause additional frequency excursions due to generation time variability but also to the fact that variable speed wind turbines do not add directly their inertia to the power system. Thus several transmission system operators have announced new grid codes requiring wind turbines to provide frequency response. In some scenarios, however, wind energy support may be detrimental to frequency control because it generates an extra energy that reduces decay and derivative but that cannot be maintained over time. These lower values of frequency decay and derivative are currently expected after a reduced incident or when conventional generation, which can maintain the extra generation, provides frequency support, so lead to low or no load shedding. This paper has studied, in particular, the effect of wind generation emulating inertia. A re∗Corresponding author Email addresses: aparicio@uji.es (Néstor Aparicio), sanyo@die.upv.es (Salvador Añó-Villalba), efbeleng@uji.es (Enrique Belenguer), r.blasco@ieee.org (Ramon Blasco-Gimenez) Preprint submitted to Elsevier January 12, 2017 duction of frequency derivative is achieved, which looks positive at first, but in some cases leads to initial smaller load shedding than the incident requires. A reduced frequency derivative triggers less under-frequency relays as if there were a significant amount of conventional generation that is online. However, this generation has been substituted by wind generation emulating inertia, and as it can maintain extra generation over time, the frequency continues to decay until the shedding of the next load step. As a result there is an excessive frequency deviation and an incorrect load shedding for the magnitude of the initial disturbance. In order to prevent this problem, automatic under frequency load shedding settings may need readjustment when a large amount of wind generation provides frequency support.
Influence of physical qualities on post-match fatigue in rugby league players.

OBJECTIVES
This study examined the influence of physical qualities on markers of fatigue and muscle damage following rugby league match-play.


DESIGN
Between subjects design.


METHODS
Twenty-one male youth rugby league players (age 19.2 ± 0.7 years; height 180.7 ± 5.6 cm; body mass 89.9 ± 10.0 kg) participated in the study. Yo-Yo intermittent recovery test (level 1), 3 repetition maximum back squat and bench press were assessed prior to 2 competitive fixtures. Neuromuscular fatigue (countermovement jump [CMJ] and plyometric push-up [PP]), and blood creatine kinase (CK) were assessed before and after match-play. During match-play, movements were recorded using microtechnology. Players were divided into high- and low-groups based on physical qualities.


RESULTS
High Yo-Yo and squat performance resulted in greater loads during match-play (p<0.05). There were larger reductions in CMJ power in the low Yo-Yo group at both 24 (ES=-1.83), and 48 h post-match (ES=-1.33). Despite greater internal and external match loads, changes in CMJ power were similar between squat groups. There were larger increases in blood CK in the low Yo-Yo group at 24 (73% vs. 176%; ES=1.50) and 48 h post-match (28% vs. 80%; ES=1.22). Despite greater contact loads, the high squat group exhibited smaller changes in blood CK post-match (ES=0.25-0.39).


CONCLUSIONS
Post-match fatigue is lower in players with well-developed high-intensity running ability, and lower body strength, despite these players having greater internal and external match loads.
A Compact Battery-Powered Half-Megavolt Transformer System for EMP Generation

High-power electromagnetic pulses are of importance in a variety of applications such as transient radar and particle accelerators and when investigating the effect of strong radio-frequency impulses on electronic systems. With all these possibilities in mind, a compact and portable source has been developed by the Plasma and Pulsed Power Group, Loughborough University, U.K., in collaboration with the Defense Science and Technology Laboratory, U.K. The source is based on a pulsed resonant Tesla transformer that produces nanosecond rise-time pulses at voltages exceeding 0.5 MV. In addition to the Tesla transformer, the other major components include a pulse forming line, a high-voltage fast spark gap switch, and a half-wavelength dipole antenna. The pulsed radiated electric field measured at 10 m from the source has a peak amplitude of 12.4 kV/m
Optical thin-film materials with low refractive index for broadband elimination of Fresnel reflection

Future Chips Constellation, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York 12180, USA Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York 12180, USA Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York 12180, USA Graduate Institute of Electro-Optical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C. Crystal IS, Inc., Green Island, New York 12183, USA *e-mail: EFSchubert@rpi.edu
Omohundro ’ s “ Basic AI Drives ” and Catastrophic Risks

Shulman, Carl. 2010. Omohundro's " Basic AI Drives " and Catastrophic Risks.
Heuristic-based Approach for Phishing Site Detection Using URL Features

Damage caused by phishing attacks that target personal user information is increasing. Phishing involves sending an email to a user or inducing a phishing page to steal a user’s personal information. This type of attack can be detected by blacklist-based detection techniques; however, these methods have some disadvantages and the numbers of victims have therefore continued to increase. In this paper, we propose a heuristic-based phishing detection technique that uses uniform resource locator (URL) features. We identified features that phishing site URLs contain. The proposed method employs those features for phishing detection. The technique was evaluated with a dataset of 3,000 phishing site URLs and 3,000 legitimate site URLs. The results demonstrate that the proposed technique can detect more than 98.23% of phishing sites. Keywords—phishing sites, URL-based features, heuristic, machine learning
Faithful to the Original: Fact Aware Neural Abstractive Summarization

Unlike extractive summarization, abstractive summarization has to fuse different parts of the source text, which inclines to create fake facts. Our preliminary study reveals nearly 30% of the outputs from a state-of-the-art neural summarization system suffer from this problem. While previous abstractive summarization approaches usually focus on the improvement of informativeness, we argue that faithfulness is also a vital prerequisite for a practical abstractive summarization system. To avoid generating fake facts in a summary, we leverage open information extraction and dependency parse technologies to extract actual fact descriptions from the source text. The dual-attention sequence-to-sequence framework is then proposed to force the generation conditioned on both the source text and the extracted fact descriptions. Experiments on the Gigaword benchmark dataset demonstrate that our model can greatly reduce fake summaries by 80%. Notably, the fact descriptions also bring significant improvement on informativeness since they often condense the meaning of the source text.
FinFET-a quasi-planar double-gate MOSFET

The quasi-planar FinFET structure has device characteristics similar to those of the conventional MOSFET. Inserting FinFET into CMOS technology requires no change in circuit architecture or layout/design tools, providing a smooth transition to post-planar CMOS technology. 2D mixed-mode simulations show FinFET circuit performance exceeds that of advanced single gate MOSFETs.
Effect of social commerce factors on user purchase behavior: An empirical investigation from renren.com

As a new type of e-commerce, social commerce is an emerging marketing form in which business is conducted via social networking platforms. It is playing an increasingly important role in influencing consumers’ purchase intentions. Social commerce uses friendships on social networking platforms, such as Facebook and Twitter, as the vehicle for social sharing about products or sellers to induce interest in a product, thereby increasing the purchase intention. In this paper, we develop and validate a conceptual model of how social factors, such as social support, seller uncertainty, and product uncertainty, influence onsumer purchasing intentions ocial support eller uncertainty roduct uncertainty hird-party infomediaries users’ purchasing behaviors in social commerce. This study aims to provide an understanding of the relationship between user behavior and social factors on social networking platforms. Using the largest social networking website in China, renren.com, this study finds that social support, seller uncertainty, and product uncertainty affect user behaviors. The results further show that social factors can significantly enhance users’ purchase intentions in social shopping. © 2015 Elsevier Ltd. All rights reserved.