nils-herrmann/clean_scirepeval huggingface dataset:
Palo Alto: Stories by James Franco
Year: 2011

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Sereum: Protecting Existing Smart Contracts Against Re Entrancy Attacks
Venue: NDSS
Year: 2019

Recently, a number of existing blockchain systems have witnessed major bugs and vulnerabilities within smart contracts. Although the literature features a number of proposals for securing smart contracts, these proposals mostly focus on proving the correctness or absence of a certain type of vulnerability within a contract, but cannot protect deployed (legacy) contracts from being exploited. In this paper, we address this problem in the context of re entrancy exploits and propose a novel smart contract security technology, dubbed Sereum (Secure Ethereum) which protects existing, deployed contracts against re entrancy attacks in a backwards compatible way based on run time monitoring and validation. Sereum does neither require any modification nor any semantic knowledge of existing contracts. By means of implementation and evaluation using the Ethereum blockchain, we show that Sereum covers the actual execution flow of a smart contract to accurately detect and prevent attacks with a false positive rate as small as 0.06% and with negligible run time overhead. As a by product, we develop three advanced re entrancy attacks to demonstrate the limitations of existing offline vulnerability analysis tools.
TBCRC 006: A multicenter phase II study of neoadjuvant lapatinib and trastuzumab in patients with HER2 overexpressing breast cancer.
Venue: Journal of clinical oncology official journal of the American Society of Clinical Oncology
Year: 2011

We reported that inhibition of the HER2 pathway with lapatinib (L) and trastuzumab (T) to block all homo and hetero dimer signaling leads to rapid eradication of HER2 amplified human xenografts in mice. In this clinical trial, we sought to translate these findings to patients (pts) using the L+T regimen without chemotherapy.  Women with HER2+ breast cancers >3cm or >2cm with palpable lymph nodes) were eligible. Pts received weekly T (4 mg/kg loading then 2mg/kg) and daily L 1,000 mg for 12 weeks. ER+ pts also received letrozole (plus goserelin if premenopausal) to block ER/HER crosstalk. Biopsies were obtained at baseline and weeks 2, 8, and 12 (surgery) This stratified study (ER+ ER was designed to detect an increase in pathologic response rate (pRR; defined as pathologic complete response in the breast (pCR) plus residual disease that is <1 cm (npCR) from 10% with T alone to 35% in each stratum, using a Simon optimal two stage design, with one sided alpha=5% and power=85% Both strata met criteria to continue to full accrual (at least 21 per stratum) RESULTS We enrolled 66 eligible pts; 64 were evaluable for response (Table) Median tumor size was 6 cm (range 1.5 30 cm) Adverse events (AEs) were overall modest: mainly grade 1 2 (GI: 64% skin: 45% Grade 3 metabolic, GI, and liver (18% 12 pts) and grade 4 liver toxicity (1 pt) were also observed. Two pts had treatment related serious AEs (GI, liver) Efficacy results below are for the first 57 pts who had surgery as of 1/4/2011. Results from all pts will be presented at the meeting. Overall pRR was 53% (ER+ 55% ER 47% More importantly, the overall pCR rate was 28% (ER+ 21% ER 42% CONCLUSIONS L+T for 12 weeks led to a high pCR rate in pts with large HER2+ tumors without chemotherapy. Pts with npCR might be converted to pCR with longer therapy, a hypothesis to be tested in a follow up study. Our data strongly suggest that selected pts with HER2+ tumors may not need chemotherapy.
Unsupervised skin tissue segmentation for remote photoplethysmography
Venue: Pattern Recognit. Lett.
Year: 2019

Segmentation is a critical step for many algorithms, especially for remote photoplethysmography (rPPG) applications as only the skin surface provides information. Moreover, it has been shown that the rPPG signal is not distributed homogeneously across the skin. Most of the time, algorithms get input information from face detection provided by a supervised learning of physical appearance and skin pixel selection. However, both methods show several limitations. In this paper, we propose a simple approach to implicitly select skin tissues based on their distinct pulsatility feature. The input video frames are decomposed into several temporal superpixels from which the pulse signals are extracted. A pulsatility measure from each temporal superpixel is then used to merge the pulse traces and estimate the photoplethysmogram signal. Since the most pulsatile signals provide high quality information, areas where the information is predominant are favored. We evaluated our contribution using a new publicly available dataset dedicated to rPPG algorithms comparison. The results of our experiments show that our method outperforms state of the art algorithms, without any critical face or skin detection.
Hot subdwarf binaries from the MUCHFUSS project Analysis of 12 new systems and a study of the short period binary population
Year: 2015

The project Massive Unseen Companions to Hot Faint Underluminous Stars from SDSS (MUCHFUSS) aims at finding hot subdwarf stars with massive compact companions like massive white dwarfs (M 1.0 M) neutron stars, or stellar mass black holes. The existence of such systems is predicted by binary evolution theory, and recent discoveries indicate that they exist in ou r Galaxy. We present orbital and atmospheric parameters and put constraints on the nature of the companions of 12 close hot subdwarf B star (sdB) binaries found in the course of the MUCHFUSS project. The systems show periods between 0.14 and 7.4 days. In nine cases the nature of the companions cannot be constrained unambiguously whereas three systems most likely have white dwarf companions. We find that the companion to SDSS J083006.17+475150.3 is likely to be a rare example of a low mass helium core white dwarf. SDSS J095101.28+034757.0 shows an excess in the infrared that probably originates from a third companion in a wide orbit, which makes this system the second candidate hierarchical triple system containing an sdB star. SDSS J113241.58 063652.8 is the first helium deficient sdO star with a confirmed close companion. This study brings to 142 the number of sdB binaries with orbital periods of less than 30 days and with measured mass functions. We present an analysis of the minimum companion mass distribution and show that it is bimodal. One peak around 0.1 M corresponds to the low mass main sequence (dM) and substellar companions. The other peak around 0.4 M corresponds to the white dwarf companions. The derived masses for the white dwarf companions are significantly lower than the average mass for single ca rbonoxygen white dwarfs. In a Teff log g diagram of sdB+dM companions, we find signs that the sdB components are more massive than the rest of the sample. The full sample was compared to the known population of extremely low mass white dwarf binaries as well as short period white dwarfs with main sequence companions. Both samples show a significantly di fferent companion mass distribution indicating either different selection effects or different evolutionary paths. We identified 16 systems where the dM companion will fill its Roche Lobe within a Hubble time and will evolve into a cataclysmic variable; two of them will have a brown dwarf as donor star. Twelve systems with confirmed white dwarf companions will merge within a Hubble time, two of them having a mass ratio to evolve into a stable AM CVn type binary and another two which are potential supernova Ia progenitor systems. The remaining eight systems will most likely merge and form RCrB stars or massive C/O white dwarfs depending on the structure of the white dwarf companion.
Psychometric properties of the Depression Anxiety and Stress Scale 21 in older primary care patients.
Venue: Journal of affective disorders
Year: 2008

The Depression Anxiety Stress Scale (DASS) was designed to efficiently measure the core symptoms of anxiety and depression and has demonstrated positive psychometric properties in adult samples of anxiety and depression patients and student samples. Despite these findings, the psychometric properties of the DASS remain untested in older adults, for whom the identification of efficient measures of these constructs is especially important. To determine the psychometric properties of the DASS 21 item version in older adults, we analyzed data from 222 medical patients seeking treatment to manage worry. Consistent with younger samples, a three factor structure best fit the data. Results also indicated good internal consistency, excellent convergent validity, and good discriminative validity, especially for the Depression scale. Receiver operating curve analyses indicated that the DASS 21 predicted the diagnostic presence of generalized anxiety disorder and depression as well as other commonly used measures. These data suggest that the DASS may be used with older adults in lieu of multiple scales designed to measure similar constructs, thereby reducing participant burden and facilitating assessment in settings with limited assessment resources.
A role for primate subgenual cingulate cortex in sustaining autonomic arousal
Venue: Proceedings of the National Academy of Sciences
Year: 2014

Dysregulation of emotion is central to the etiology of mood disorders, such as depression. A causal understanding of how neural structures regulate emotion and arousal could help to improve treatments for these psychiatric disorders. Studies of patients with depression indicate that a particular part of the frontal lobe, the subgenual cingulate cortex, plays an important role in affective processing, though its precise contribution remains unclear. Here we show that, in macaque monkeys, this small part of the frontal cortex is necessary for sustaining elevated arousal in anticipation of positive emotional events. This finding suggests a mechanism for the contribution of this area to affective regulation, including an account for the lack of pleasure and passivity that characterizes mood disorders. The subgenual anterior cingulate cortex (subgenual ACC) plays an important role in regulating emotion, and degeneration in this area correlates with depressed mood and anhedonia. Despite this understanding, it remains unknown how this part of the prefrontal cortex causally contributes to emotion, especially positive emotions. Using Pavlovian conditioning procedures in macaque monkeys, we examined the contribution of the subgenual ACC to autonomic arousal associated with positive emotional events. After such conditioning, autonomic arousal increases in response to cues that predict rewards, and monkeys maintain this heightened state of arousal during an interval before reward delivery. Here we show that although monkeys with lesions of the subgenual ACC show the initial, cue evoked arousal, they fail to sustain a high level of arousal until the anticipated reward is delivered. Control procedures showed that this impairment did not result from differences in autonomic responses to reward delivery alone, an inability to learn the association between cues and rewards, or to alterations in the light reflex. Our data indicate that the subgenual ACC may contribute to positive affect by sustaining arousal in anticipation of positive emotional events. A failure to maintain positive affect for expected pleasurable events could provide insight into the pathophysiology of psychological disorders in which negative emotions dominate a patient's affective experience.
Exonuclease I assisted fluorescence aptasensor for tetrodotoxin.
Venue: Ecotoxicology and environmental safety
Year: 2020

A fluorescence aptasensor for the highly specific and sensitive determination of tetrodotoxin was established with tetrodotoxin aptamer as the recognition unit, berberine as the signal reporter and exonuclease I as the elimination agent for the background. Berberine has a weak fluorescence emission at 540 nm, and it can form the tetrodotoxin aptamer/berberine complex, resulted in an increased fluorescence. After introducing exonuclease I, it can degrade the single strand oligonucleotides of tetrodotoxin aptamer into the single nucleotide in the absence of tetrodotoxin, which lead to dramatic fluorescence quenching, and reduce the background signal of sensing system. Once tetrodotoxin is in the presence, tetrodotoxin aptamer is converted into the stable neck ring conformation, which resists the degradation of exonuclease I and provides a more rigid micro environment for the excited state of berberine, and then the strong fluorescence is observed. Based on the above properties, an ultrasensitive label free fluorescence aptasensor for tetrodotoxin is established. The fluorescence aptasensor shows good analytical performance with the linear increase of fluorescence intensity at the tetrodotoxin concentration from 0.030 nM to 6.0 x 103 nM. The detection limit of 11.0 pM is much lower than that of other reported sensor methods.
Effect of End Grafted Polymer Conformation on Protein Resistance.
Venue: Langmuir the ACS journal of surfaces and colloids
Year: 2018

Monte Carlo simulation combined with an experimental method was used to investigate the effect of the conformational structure of polymer brushes on their protein resistance. The end grafted polymers with two conformational structures, i.e. linear and looped, were considered. Protein adsorption behaviors on the surfaces grafted with either linear or looped polymers were investigated. Different chain lengths and grafting numbers of end grafted polymers were employed in this simulation. The simulation results indicated that for long polymer brushes the conformational change from linear to looped generally improved their protein resistant property for all of the grafting numbers investigated here, and a remarkable improvement in protein resistance can be achieved at a certain grafting number. Moreover, the simulations revealed that the smoothness of the surface and the formation of a dense impenetrable layer are the two significant characteristics of the looped polymer brush in resisting protein adsorption. Meanwhile, experiment results also showed that for a given chain length and grafting number the protein resistant property of the looped polymer brush was superior to that of the surface grafted with linear polymers, which is quite consistent with the simulation results. These results further elucidated the difference in the protein resistant property between the linear and looped polymer brushes, which provided useful information for preparing excellent antifouling materials in future experiments.
Evaluation and Feasibility of a Comprehensive Program for Post Traumatic Stress Disorder in Military, Veterans, and First Responders
Venue: International Archives of Nursing and Health Care
Year: 2019

Preyde.  Page 1 of 11 Citation: Preyde M (2019) Evaluation and Feasibility of a Comprehensive Program for Post Traumatic Stress Disorder in Military, Veterans, and First Responders.  July 02, 2019  Evaluation and Feasibility of a Comprehensive Program for Post Traumatic Stress Disorder in Military, Veterans, and First Responders
Experiences of an exercise referral scheme from the perspective of people with chronic stroke: a qualitative study.
Venue: Physiotherapy
Year: 2012

To explore stroke survivors' experiences of undertaking exercise in the context of an exercise referral scheme for people with chronic stroke.  A qualitative design, using semi structured interviews within a constructivist framework to explore the experiences of individual participants. Verbatim transcripts were thematically analysed. Rigour mechanisms included respondent validation, peer checking, and reflexivity.  An exercise referral scheme, based at a leisure centre in South London.  Nine community dwelling stroke survivors took part; 5 male and 4 female, mean age 51 years (range 37 61 years) time post stroke 1 4 years, with mixed ethnic backgrounds.  Participants described greater physical and psychological well being following participation in the exercise referral scheme. Categories that emerged were: improved exercise engagement and confidence, more internalised perceptions of control and enhanced lifestyle, work and social roles. Categories linked to form a master theme, labelled: 'Exercise Referral Scheme as a catalyst for regaining independence.  This study supports the value of exercise referral schemes in enabling people with stroke to engage in exercise. For participants in this study, the scheme seemed influential in the process of regaining independence.
A Hybrid Model of EMD and PSO SVR for Short Term Load Forecasting in Residential Quarters
Year: 2016

Short term load forecasting plays a vital role in the daily operational management of power utility. To improve the forecasting accuracy, this paper proposes a hybrid EMD PSO SVR forecasting model for short term load forecasting based on empirical mode decomposition (EMD) support vector regression (SVR) and particle swarm optimization (PSO) also considering the effects of temperature, weekends, and holidays. EMD is used to decompose the residential electric load data into a number of intrinsic mode function (IMF) components and one residue; then SVR is constructed to forecast these IMFs and residual value individually. In order to gain optimization parameters of SVR, PSO is implemented to automatically perform the parameter selection in SVR modeling. Then all of these forecasting values are reconstructed to produce the final forecasting result for residential electric load data. Compared with the results from the EMD SVR model, traditional SVR model, and PSO SVR model, the result indicates that the proposed EMD PSO SVR model performs more effectively and more stably in forecasting the residential short term load.
Purpose in Life and Motoric Cognitive Risk Syndrome: Replicable Evidence from Two National Samples
Venue: Journal of the American Geriatrics Society
Year: 2020

Motoric cognitive risk (MCR) syndrome is characterized by cognitive complaints and slow gait speed in the absence of dementia. Consistent evidence indicates that it predicts dementia and premature mortality. Less is known about its antecedents, particularly the role of psychological function. Purpose in life is an aspect of well being that reflects a goal oriented and driven life that has been implicated in cognitive aging. We aimed to examine the cross sectional association between purpose in life and MCR and to test the hypothesis that purpose is associated with a lower risk of new cases of MCR over an up to 12 year follow up.
Design and Evaluation of accelerometer based user authentication methods
Year: 2017

Smartphones' usages are growing rapidly. Smart phone usages are not limited to the receiving/calling or SMSing anymore. People use smartphone for online shopping, searching various information in the web, bank transactions, games, different applications for different usages etc. Anything is possible by just having a smartphone and the internet. The more usages of the smartphone also increase keeping more secrete information about the user in the phone. The popularity is increasing and so is different ways to steal/hack the phones. There are many areas which require further investigation in the field of smartphone security and authentication. This thesis work evaluates the scope of different inbuilt sensors in smartphones for mobile authentication based techniques. The Android Operating system was used in the implementation phase. Android OS has many open source library and Services which have been used for the sensor identification using Java Android platform. Two applications using Accelerometer sensor and one using Magnetometer sensor were developed. Two foremost objectives of this thesis work were 1) To figure it out the possibilities of sensor based authentication technique. 2) To check the end user perception/opinion about the applications. Usability testing was conducted to gather the user's assessments/vision of the applications. Two methods which were used for usability testing are named Magical move and Tapping. Users (Most of them) have shown interest and inclination towards tapping application. Although, some users were also expressed inhibitions using both sensor based methods.
Actor Critic based Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles
Venue: 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
Year: 2019

In recent years, reinforcement learning (RL) algorithms have been successfully used in energy management strategies (EMS) for hybrid electric vehicles (HEVs) and extended range electric vehicles (EREVs) operating on standard driving cycles and fixed driving routes. For many real world applications like last mile package delivery however, although vehicles may traverse the same region, the actual distance and energy intensity can be significantly different day to day. Such variation renders existing RL approaches less useful for optimizing energy consumption because vehicle velocity trajectories and routes are not known a priori. This paper presents an actor critic based RL framework with continuous output to optimize a rule based (RB) vehicle parameter in the engine control logic during the trip in real time under uncertainty. The EMS is then tested on an in use EREV for delivery equipped with two way vehicle to cloud connectivity. The algorithm was trained on 52 historical trips to learn a generalized strategy for different trip distance and energy intensity. An average of 21.8% fuel efficiency improvement in miles per gallon gasoline equivalent was demonstrated on 51 unforeseen test trips made by the same vehicle with a distance range of 31 to 54 miles. The framework can be extended to other RB methods and EREV applications like transit buses and commuter vehicles.
Deep Learning Based Pose Estimation of Apples for Inspection in Logistic Centers Using Single Perspective Imaging
Venue: Processes
Year: 2019

Fruit packaging is a time consuming task due to its low automation level. The gentle handling required by some kinds of fruits and their natural variations complicates the implementation of automated quality controls and tray positioning for final packaging. In this article, we propose a method for the automatic localization and pose estimation of apples captured by a Red Green Blue (RGB) camera using convolutional neural networks. Our pose estimation algorithm uses a cascaded structure composed of two independent convolutional neural networks: one for the localization of apples within the images and a second for the estimation of the three dimensional rotation of the localized and cropped image area containing an apple. We used a single shot multi box detector to find the bounding boxes of the apples in the images. Lie algebra is used for the regression of the rotation, which represents an innovation in this kind of application. We compare the performances of four different network architectures and show that this kind of representation is more suitable than using state of the art quaternions. By using this method, we achieved a promising accuracy for the rotation regression of 98.36% considering an error range lower than 15 degrees, forming a base for the automation of fruit packing systems.