nils-herrmann/clean_scirepeval huggingface dataset:
A Perturbation Method Based Solution for Beam Vibration Excited by Moving Mass
Year: 2020

The study of the dynamic effect of moving mass on structures such as vehicles moving on bridges or a crane trolley moving on girder beam has become an important research area in the recent past. The problems were originally modelled as moving force problems, but later on moving mass inertia effects have been also included and recently models are further modified considering vehicles as moving oscillators. Available literatures indicate that response characteristics are mostly obtained using numerical integration. This, however, does not give qualitative insight into the dependence of critical response behaviours on the variable parameters. The present work attempts to obtain an analytical expression for the response using a novel perturbation based method, where moving mass to beam mass ratio is taken as the perturbation parameter. For a typical simply supported beam, expressions are derived in polynomial series form, up to second order term. Analytical response, although truncated after the second order polynomial term, is found to be in good agreement with numerically integrated response. Sensitivity studies are performed with respect to two parameters: mass ratios and velocity ratios. In addition, magnitude of deflection maxima and corresponding vehicle location are investigated for different velocity ratios and it is shown that low velocity ratio around 0.2 produces minimum deflection maxima than the velocities in the higher range. This is a significant observation as in case of a suspected degradation in a bridge, vehicular velocity can be monitored near a ratio of 0.2 to have minimum deflection and stresses on the bridge structure.
Defining Optimal Length of Opioid Pain Medication Prescription After Common Surgical Procedures
Venue: JAMA surgery
Year: 2018

The overprescription of pain medications has been implicated as a driver of the burgeoning opioid epidemic; however, few guidelines exist regarding the appropriateness of opioid pain medication prescriptions after surgery.  To describe patterns of opioid pain medication prescriptions after common surgical procedures and determine the appropriateness of the prescription as indicated by the rate of refills.  The Department of Defense Military Health System Data Repository was used to identify opioid naive individuals 18 to 64 years of age who had undergone 1 of 8 common surgical procedures between January 1, 2005, and September 30, 2014. The adjusted risk of refilling an opioid prescription based on the number of days of initial prescription was modeled using a generalized additive model with spline smoothing.  Length of initial prescription for opioid pain medication.  Need for an additional subsequent prescription for opioid pain medication, or a refill.  Of the 215 140 individuals (107 588 women and 107 552 men; mean [SD] age, 40.1 [12.8] years) who underwent a procedure within the study time frame and received and filled at least 1 prescription for opioid pain medication within 14 days of their index procedure, 41 107 (19.1% received at least 1 refill prescription. The median prescription lengths were 4 days (interquartile range [IQR] 3 5 days) for appendectomy and cholecystectomy, 5 days (IQR, 3 6 days) for inguinal hernia repair, 4 days (IQR, 3 5 days) for hysterectomy, 5 days (IQR, 3 6 days) for mastectomy, 5 days (IQR, 4 8 days) for anterior cruciate ligament repair and rotator cuff repair, and 7 days (IQR, 5 10 days) for discectomy. The early nadir in the probability of refill was at an initial prescription of 9 days for general surgery procedures (probability of refill, 10.7% 13 days for women's health procedures (probability of refill, 16.8% and 15 days for musculoskeletal procedures (probability of refill, 32.5% Conclusions and Relevance Ideally, opioid prescriptions after surgery should balance adequate pain management against the duration of treatment. In practice, the optimal length of opioid prescriptions lies between the observed median prescription length and the early nadir, or 4 to 9 days for general surgery procedures, 4 to 13 days for women's health procedures, and 6 to 15 days for musculoskeletal procedures.
Reasons and Motivations for Code Mixing and Code Switching
Year: 2006

This paper presents why bilinguals mix two languages and switch back and forth between two languages and what triggers them to mix and switch their languages when they speak. These bilingual phenomena are called 'code mixing' and 'code switching' and these are ordinary phenomena in the area of bilingualism. According to Hamers and Blanc (2000) 'Code mixing' and 'code switcing' were considered as signs of incompetence. However, Khnert, Yim, Nett, Kan, and Duran (2005) remark that an alternative view is to recognize the cultural, social, and communicative validity of the mixing of two traditionally isolated linguistic codes as a third legitimate code. As mentioned, these phenomena may influence bilingual's language positively. The purpose of this paper is to indicate the positive factors of code mixing and codeswitching for language education by discussing societal factors related to the reasons and motivations for these phenomena.
Vulnerability Severity Prediction With Deep Neural Network
Venue: 2019 5th International Conference on Big Data and Information Analytics (BigDIA)
Year: 2019

High frequency of network security incidents has also brought a lot of negative effects and even huge economic losses to countries, enterprises and individuals in recent years. Therefore, more and more attention has been paid to the problem of network security. In order to evaluate the newly included vulnerability text information accurately, and to reduce the workload of experts and the false negative rate of the traditional method. Multiple deep learning methods for vulnerability text classification evaluation are proposed in this paper. The standard Cross Site Scripting (XSS) vulnerability text data is processed first, and then classified using three kinds of deep neural networks (CNN, LSTM, TextRCNN) and one kind of traditional machine learning method (XGBoost) The dropout ratio of the optimal CNN network, the epoch of all deep neural networks and training set data were tuned via experiments to improve the fit on our target task. The results show that the deep learning methods evaluate vulnerability risk levels better, compared with traditional machine learning methods, but cost more time. We train our models in various training sets and test with the same testing set. The performance and utility of recurrent convolutional neural networks (TextRCNN) is highest in comparison to all other methods, which classification accuracy rate is 93.95%
High expression of HOXA13 correlates with poorly differentiated hepatocellular carcinomas and modulates sorafenib response in in vitro models
Venue: Laboratory Investigation
Year: 2018

Hepatocellular carcinoma (HCC) represents the fifth and ninth cause of mortality among male and female cancer patients, respectively and typically arises on a background of a cirrhotic liver. HCC develops in a multi step process, often encompassing chronic liver injury, steatosis and cirrhosis eventually leading to the malignant transformation of hepatocytes. Aberrant expression of the class I homeobox gene family (HOX) a group of genes crucial in embryogenesis, has been reported in a variety of malignancies including solid tumors. Among HOX genes, HOXA13 is most overexpressed in HCC and is known to be directly regulated by the long non coding RNA HOTTIP. In this study, taking advantage of a tissue microarray containing 305 tissue specimens, we found that HOXA13 protein expression increased monotonically from normal liver to cirrhotic liver to HCC and that HOXA13 positive HCCs were preferentially poorly differentiated and had fewer E cadherin positive cells. In two independent cohorts, patients with HOXA13 positive HCC had worse overall survival than those with HOXA13 negative HCC. Using HOXA13 immunohistochemistry and HOTTIP RNA in situ hybridization on consecutive sections of 16 resected HCCs, we demonstrated that HOXA13 and HOTTIP were expressed in the same neoplastic hepatocyte populations. Stable overexpression of HOXA13 in liver cancer cell lines resulted in increased colony formation on soft agar and migration potential as well as reduced sensitivity to sorafenib in vitro. Our results provide compelling evidence of a role for HOXA13 in HCC development and highlight for the first time its ability to modulate response to sorafenib.
Temporal evolution and scaling of mixing in two dimensional Rayleigh Taylor turbulence
Year: 2013

We report a high resolution numerical study of two dimensional (2D) miscible Rayleigh Taylor (RT) incompressible turbulence with the Boussinesq approximation. An ensemble of 100 independent realizations were performed at small Atwood number and unit Prandtl number with a spatial resolution of 2048 x 8193 grid points. Our main focus is on the temporal evolution and the scaling behavior of global quantities and of small scale turbulence properties. Our results show that the buoyancy force balances the inertial force at all scales below the integral length scale and thus validate the basic force balance assumption of the Bolgiano Obukhov scenario in 2D RT turbulence. It is further found that the Kolmogorov dissipation scale e(t) t 1/8, the kinetic energy dissipation rate e u (t) t 1/2, and the thermal dissipation rate eth(t) t 1. All of these scaling properties are in excellent agreement with the theoretical predictions of the Chertkov model "Phenomenology of Rayleigh Taylor turbulence,"  115001 ( We further discuss the emergence of intermittency and anomalous scaling for high order moments of velocity and temperature differences. The scaling exponents of the pth order temperature structure functions are shown to saturate to for the highest orders, p 10. The value of and the order at which saturation occurs are compatible with those of turbulent Rayleigh Benard (RB) convection[A. Celani, T. Matsumoto, A. Mazzino, and M. Vergassola, "Scaling and universality in turbulent convection,"  ( supporting the scenario of universality of buoyancy driven turbulence with respect to the different boundary conditions characterizing the RT and RB systems. x p r x r 0.78 0.15 x r
Electrospun Water Borne Polyurethane Nanofibrous Membrane as a Barrier for Preventing Postoperative Peritendinous Adhesion
Venue: International journal of molecular sciences
Year: 2019

Peritendinous adhesion is a major complication after tendon injury and the subsequent repairs or reconstructions. The degree of adhesion can be reduced by the interposition of a membranous barrier between the traumatized tendon and the surrounding tissue. In the present study, electrospun water borne polyurethane (WPU) nanofibrous membranes (NFMs) were created for use after the reparation or reconstruction of tendons to reduce adhesion. In the electrospinning process, water was employed as the solvent for WPU, and this solvent was ecofriendly and nontoxic. The nanofibrous architecture and pore size of the WPU NFMs were analyzed. Their microporosity (0.78 1.05 um) blocked the penetration of fibroblasts, which could result in adhesion and scarring around the tendon during healing. The release of WPU mimicked the lubrication effect of the synovial fluid produced by the synovium around the tendon. In vitro cell studies revealed that the WPU NFMs effectively reduced the number of fibroblasts that became attached and that there was no significant cytotoxicity. In vivo studies with the rabbit flexor tendon repair model revealed that WPU NFMs reduced the degree of peritendinous adhesion, as determined using a gross examination; a histological cross section evaluation; and measurements of the range of motion of interphalangeal joints (97.1 14.7 and 79.0 12.4 degrees in proximal and distal interphalangeal joints respectively) of the length of tendon excursion (11.6 1.9 cm) and of the biomechanical properties.
Autonomous Moving Target Tracking for a UAV Quadcopter Based on Fuzzy PI
Venue: IEEE Access
Year: 2019

Moving target tracking is an attractive application for quadcopters and a very challenging, complicated field of research due to the complex dynamics of a quadcopter and the varying speed of the moving target with time. For this reason, various control algorithms have been developed to track a moving target using a camera. In this paper, a Fuzzy PI controller is developed to adjust the parameters of the PI controller using the position and change of position data as input. The proposed controller is compared to a gain scheduled PID controller instead of the typical PID controller. To verify the performance of the developed system and distinguish which one has better performance, several experiments of a quadcopter tracking a moving target are conducted under the varying speed of the moving target, indoor and outdoor and during day and night. The obtained results indicate that the proposed controller works well for tracking a moving target under different scenarios, especially during night.
Electronic word of mouth (eWOM) on WeChat: examining the influence of sense of belonging, need for self enhancement, and consumer engagement on Chinese travellers' eWOM
Year: 2019

'Friends' circles' on WeChat have helped make eWOM more easily accessible and influential than ever. Drawing from the social identity theory, literature on consumer engagement and eWOM, this study presents the first research that examines the influence of two personality traits, sense of belonging and need for self enhancement, on consumer engagement and in turn leads to eWOM intention. The results suggest that the need for self enhancement positively influences Chinese travellers' engagement with WeChat. In addition, a partial positive relationship between consumer engagement and eWOM intention was identified: only dedication towards WeChat is directly related to travellers' intention to engage in eWOM on WeChat. Dedication was found to mediate the influence of need for self enhancement on eWOM intentions. Sense of belonging, however, does not have a significant impact on consumer engagement. These mixed results demonstrate changing cultural values of contemporary Chinese society. Theoretical and practical implications are discussed.
Using Paraffin PCM, Cryogel and TEC to Maintain Comet Surface Sample Cold from Earth Approach Through Retrieval
Year: 2017

OMETS are frozen chunks of ice and dust left over from our solar system's formation. Scientists want a closer look at them for clues to the origin of planets. A Comet Surface Sample Return mission is to obtain a sample from the surface of the nucleus of a comet, hermetically seal the sample within a capsule, return the sealed sample to an orbiting spacecraft, and return the sample to Earth for analysis in the laboratory. A rotating comet travels through the inner solar system at up to 241,000 km per hour and spews chunks of ice, rock and dust. NASA has been developing a comet harpoon for sample return. The concept is to avoid the risk of landing on the comet, but to grab a sample. Researchers want to send a spacecraft to rendezvous with a comet, then fire a harpoon to obtain samples rapidly from specific locations while hovering above the target. This technique allows sample collection even from surfaces that are too rugged or risky to allow landing and safe operation of a spacecraft. Fig. 1 shows an artist's concept of a comet harpoon embedded in a comet.
FFRP: Dynamic Firefly Mating Optimization Inspired Energy Efficient Routing Protocol for Internet of Underwater Wireless Sensor Networks
Venue: IEEE Access
Year: 2020

Energy efficient and reliable data gathering using highly stable links in underwater wireless sensor networks (UWSNs) is challenging because of time and location dependent communication characteristics of the acoustic channel. In this paper, we propose a novel dynamic firefly mating optimization inspired routing scheme called FFRP for the internet of UWSNs based events monitoring applications. The proposed FFRP scheme during the events data gathering employs a self learning based dynamic firefly mating optimization intelligence to find the highly stable and reliable routing paths to route packets around connectivity voids and shadow zones in UWSNs. The proposed scheme during conveying information minimizes the high energy consumption and latency issues by balancing the data traffic load evenly in a large scale network. In additions, the data transmission over highly stable links between acoustic nodes increases the overall packets delivery ratio and network throughput in UWSNs. Several simulation experiments are carried out to verify the effectiveness of the proposed scheme against the existing schemes through NS2 and AquaSim 2.0 in UWSNs. The experimental outcomes show the better performance of the developed protocol in terms of high packets delivery ratio (PDR) and network throughput (NT) with low latency and energy consumption (EC) compared to existing routing protocols in UWSNs.
The Morse Sard Brown Theorem for Functionals on Bounded Fr\{e}chet Finsler Manifolds
Year: 2014

In this paper we study Lipschitz Fredholm vector fields on Bounded Fr\{e}chet Finsler manifolds. In this context we generalize the Morse Sard Brown theorem, asserting that if $M$ is a connected smooth bounded Fr\{e}chet Finsler manifold endowed with a connection \mathcal{K} and if \xi$ is a smooth Lipschitz Fredholm vector field on $M$ with respect to \mathcal{K} which satisfies condition (WCV) Then, for any smooth functional $l$ on $M$ which is associated to \xi$ the set of the critical values of $l$ is of first category in \mathbb{R} Therefore, the set of the regular values of $l$ is a residual Baire subset of \mathbb{R}
Un modele pour la LPR Le systeme d'enseignement superieur et la recherche en Allemagne
Year: 2020

Alors que le projet francais de loi de programmation (pluriannuelle) de la recherche (LPR) en cours d'examen parlementaire, suscite des inquietudes legitimes dans le monde academique, on s'interroge rarement sur les sources d'inspiration qui ont guide ses redacteurs/trices. Pourtant, ce texte qui fragilise l'emploi scientifique statutaire, en introduisant des contrats dits de mission et des chaires de professeur*e*s juniors et qui generalise la recherche sur projets, introduit un mod.
Covid 19 and the cardiovascular system: a comprehensive review
Venue: Journal of Human Hypertension
Year: 2020

Cardiac injury in patients infected with the novel Coronavirus (COVID 19) seems to be associated with higher morbimortality. We provide a broad review of the clinical evolution of COVID 19, emphasizing its impact and implications on the cardiovascular system. The pathophysiology of severe acute respiratory syndrome coronavirus 2 (SARS CoV 2) is characterized by overproduction of inflammatory cytokines (IL 6 and TNF a) leading to systemic inflammation and multiple organ dysfunction syndrome, acutely affecting the cardiovascular system. Hypertension (56.6% and diabetes (33.8% are the most prevalent comorbidities among individuals with COVID 19, who require hospitalization. Furthermore, cardiac injury, defined as elevated us troponin I, significantly relates to inflammation biomarkers (IL 6 and C reactive protein (CRP) hyperferritinemia, and leukocytosis) portraying an important correlation between myocardial injury and inflammatory hyperactivity triggered by viral infection. Increased risk for myocardial infarction, fulminant myocarditis rapidly evolving with depressed systolic left ventricle function, arrhythmias, venous thromboembolism, and cardiomyopathies mimicking STEMI presentations are the most prevalent cardiovascular complications described in patients with COVID 19. Moreover, SARS CoV 2 tropism and interaction with the RAAS system, through ACE2 receptor, possibly enhances inflammation response and cardiac aggression, leading to imperative concerns about the use of ACEi and ARBs in infected patients. Cardiovascular implications result in a worse prognosis in patients with COVID 19, emphasizing the importance of precocious detection and implementation of optimal therapeutic strategies.
Incorporar un inciso al articulo 178 del codigo organico integral penal referente al uso de drones, para garantizar el derecho a la intimidad personal y familiar en el Ecuador
Year: 2018

Actualmente en la sociedad uno de los cambios radicales es la tecnologia y el alcance que ha tenido, en la que se puede establecer los vehiculos aereos no tripulados o drones. El uso y la accesibilidad de estos dispositivos se ha vuelto normal en la que las personas lo adquieren con fines de entretenimiento, pero que muchas veces pueden ser mal utilizados que atentan contra la intimidad personal o familiar.
Developing poly(vinyl alcohol)/chitosan films incorporate with d limonene: Study of structural, antibacterial, and fruit preservation properties.
Venue: International journal of biological macromolecules
Year: 2019

Active biodegradable packaging films were developed with polyvinyl alcohol (PVA) chitosan (CS) and d Limonene (DL) The effect of various DL content levels (0% 2.5% 5% 7.5% and 10% w/w) on the structural, mechanical, biodegradable and antimicrobial properties of PVA/CS films was systematically studied. Good compatibility between DL and PVA/CS, and good dispersion of DL in the PVA/CS matrix were demonstrated by Fourier transform infrared (FTIR) spectroscopy and scanning electron microscopy (SEM) PVA/CS films greatly improved their antibacterial, mechanical and barrier properties, which are associated with the considerable biodegradability, after they were incorporated with DL. However, the overloading with DL may weaken hydrogen bonds between polymer chains, resulting in the negative effects on the physical performances of the film. Particularly, the PVA/CS/DL 5% film showed the highest water contact angle and transmittance value, and also showed effective preservations of packaged mango fruits during 10 day of storage at 20 2 degC, based on the characterization by fruits weight loss, decay rate, firmness, titratable acidity, soluble solids, and ascorbic acid. Consequently, DL/PVA/CS composite films may be a promising eco friendly packaging material for food preservation.
Immobilization of Metal Organic Framework Nanocrystals for Advanced Design of Supported Nanocatalysts.
Venue: ACS applied materials interfaces
Year: 2016

In recent years, metal organic frameworks (MOFs) have been employed as heterogeneous catalysts or precursors for synthesis of catalytic materials. However, conventional MOFs and their derivatives usually exhibit limited mass transfer and modest catalytic activities owing to a lengthy diffusion path and less exposed active sites. In contrast, it has been generally conceived that nanoscale MOFs are beneficial to materials utilization and mass transport, but their instability poses a serious issue to practical application. To tackle above challenges, herein we develop a novel and facile approach to the design and synthesis of nanocomposites through in situ growth and directed immobilization of nanoscale MOFs onto layered double hydroxides (LDH) The resulting supported nano MOFs inherit advantages of pristine MOF nanocrystals and meanwhile gain enhanced stability and workability under reactive environments. A series of uniform nanometer sized MOFs, including monometallic (ZIF 8, ZIF 67, and Cu BTC) and bimetallic (CoZn ZIF) can be readily synthesized onto hierarchically structured flowerlike MgAl LDH supports with high dispersion and precision. Additionally, the resultant MgAl LDH/MOFs can serve as a generic platform to prepare integrated nanocatalysts via controlled thermolysis. Knoevenagel condensation and reduction of 4 nitrophenol (4 NP) are used as model reactions for demonstrating the technological merits of these nanocatalysts. Therefore, this work elucidates that the synthetic immobilization of nanoscale MOFs onto conventional catalyst supports is a viable route to develop integrated nanocatalysts with high controllability over structural architecture and chemical composition.