nils-herrmann/clean_scirepeval huggingface dataset:
A Survey of Recent Approaches on No Reference Image Quality Assessment with Multiscale Geometric Analysis Transforms
Year: 2017

Image quality assessment (IQA) consider as a challenging fields of digital image processing system. The image quality assessment algorithms are linked to image similarity assessment in which the differences between the degraded and the original images quality are calculated. Despite the great number of developed metrics, there is still a need for image analysis tools that is able to extract the most perceptual relevant characteristics of an image. This paper offers a literature survey of the existing objective IQA algorithms based on multiscale geometric Analysis (MGA) and focus on NoReference image quality assessment (NR IQA) methods, in which a reference image will be unavailable for finding the quality of the distorted image. Several NR IQA metrics have been overviewed in this paper, which were compared in terms of the accuracy, and time complexity. The presented survey will to keep upto date the researchers in the field of image quality assessment. This survey also provides an outlook for future work using many combinations among MGA Transforms to access to new blind IQA metric, which has efficient quality evaluation and highly correlation with human perception.  Image quality assessment (IQA) Image Quality, MSE, PSNR, SSIM, No Reference Image quality assessment (NR IQA) NSS, Multiscale Geometric Analysis (MGA) u
Satellite Image Restoration by Applying the Genetic Approach to the Wiener Deconvolution
Venue: 2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)
Year: 2016

In the process of satellite imaging, the observed image is blurred by optical system and atmospheric effects and corrupted by additive noise. The image restoration method known as Wiener deconvolution intervenes to estimate from the degraded image an image as close as possible to the original image. The effectiveness of this method obviously depends on the regularization term which requires a priori knowledge of the power spectral density of the original image that is rarely, if ever, accessible, hence the estimation of approximate values can affect the restored image quality. In this paper, the idea consists of applying the genetic approach to the Wiener deconvolution for satellite image restoration through the optimization of this regularization term in order to achieve the best possible result.
Music to Motion: Using Music Information to Create Expressive Robot Motion
Venue: Int. J. Soc. Robotics
Year: 2018

In a robot theater, developing high quality motions for a humanoid robot requires significant time and effort. People with artistic and animation skills are required to create expressive gestures and movements on the robots. We observe that dancers can translate music into motions that are perceived as expressive by the audience. In this study, we developed a program to exploit melodic and dynamics information from music to create expressive robot motion. The program was used on two applications: producing motions strictly from the music information and controlling the execution a pre programmed sequence of actions. Both applications are intended for a robot theater. The former was applied on an arm robot, while the latter on a humanoid KHR 1 robot. Two surveys were done to analyze the impact of our method. The results suggest that the robot motions produced by our program can be perceived as being more expressive and more dynamic than the motions created by a person or without music information.
Modeling airport capacity choice with real options
Year: 2017

This study models airport capacity choice when a real option for expansion can be purchased. Facing demand uncertainty, an airport first determines the capacity for immediate investment (the prior capacity) and the size of the land or other resources to be reserved for possible future expansion (the reserve) Once demand is observed, the airport can use a portion of the reserve to build extra capacity and set airport charge. Our analytical results show that if demand uncertainty is low and capacity and reserve costs are relatively high, an airport will not acquire a real option for expansion. Otherwise, it can use an expansion option to improve its expected profit or social welfare. Both the magnitude of profit or welfare gain and the optimal size of the reserve increase with demand uncertainty. A higher reserve cost leads to a larger prior capacity and a smaller reserve, whereas a higher capital cost leads to lower prior capacity. A profit maximizing airport would choose a smaller prior capacity and reserve than would a welfare maximizing airport. Competition within the airline market promotes airport capacity investment and the adoption of real options by profit maximizing airports, whereas airport commercial services increase prior capacity but not the reserve.
Mastering the Game of Sungka from Random Play
Venue: ArXiv
Year: 2019

Recent work in reinforcement learning demonstrated that learning solely through self play is not only possible, but could also result in novel strategies that humans never would have thought of. However, optimization methods cast as a game between two players require careful tuning to prevent suboptimal results. Hence, we look at random play as an alternative method. In this paper, we train a DQN agent to play Sungka, a two player turn based board game wherein the players compete to obtain more stones than the other. We show that even with purely random play, our training algorithm converges very fast and is stable. Moreover, we test our trained agent against several baselines and show its ability to consistently win against these.
Anticancer and apoptosis inducing effects of quercetin in vitro and in vivo
Venue: Oncology reports
Year: 2017

The present study focused on the elucidation of the putative anticancer potential of quercetin. The anticancer activity of quercetin at 10, 20, 40, 80 and 120 uM was assessed in vitro by MMT assay in 9 tumor cell lines (colon carcinoma CT 26 cells, prostate adenocarcinoma LNCaP cells, human prostate PC3 cells, pheocromocytoma PC12 cells, estrogen receptor positive breast cancer MCF 7 cells, acute lymphoblastic leukemia MOLT 4 T cells, human myeloma U266B1 cells, human lymphoid Raji cells and ovarian cancer CHO cells) Quercetin was found to induce the apoptosis of all the tested cancer cell lines at the utilized concentrations. Moreover, quercetin significantly induced the apoptosis of the CT 26, LNCaP, MOLT 4 and Raji cell lines, as compared to control group (P<0.001) as demonstrated by Annexin V/PI staining. In in vivo experiments, mice bearing MCF 7 and CT 26 tumors exhibited a significant reduction in tumor volume in the quercetin treated group as compared to the control group (P<0.001) Taken together, quercetin, a naturally occurring compound, exhibits anticancer properties both in vivo and in vitro.
The National Identity, in the Service of National Identities
Year: 2017

From the outset, Community law had an absolute authority on national law. The primacy of the EU law has always been one of its fundamental characteristics which ensures its uniform application on the territory of the Member States. The respect of the national identity, introduced to the primary law since the treaty of Maastricht, aims to give a margin of discretion to MS and to counterbalance the effects of the integration. The process of exceptional integration offered by the EU is marked by successes and failures. The EU has to deal with very difficult European issues, with crises at different levels, concerning the euro zone, the immigration, the lack of confidence of European citizens at the European institutions highlighted by the BREXIT. Does the EU have the capacity to respond at the crises? The challenge to be taken up is to achieve the modernity of the EU law by renewing the concept of integration. The respect of national identity by the EU which paves the way to a supranational identity could be the appropriate remedy to the conflicting relations between national law et EU law
GAMBARAN PENGETAHUAN REMAJA TENTANG SEKS BEBAS DI SMA MUHAMMADIYAH 01 MEDAN
Year: 2020

Adolescent is defined as a period of transition between the development of childhood and adulthood, which is accompaniedby changes in the biological, cognitive, and socio emotional. Promiscuous sex is sexual intercourse that is premarital andoften changes partners. The level of adolescent knowledge about sex is the ability of students to understand sex openly andto reduce or prevent the negative effects of sexual behavior. Teenage knowledge about sex in the environment is veryimportant as an alternative that can be taken to improve understanding and sexual behavior of adolescents. This study aimsto determine the knowledge of 10th grade adolescents at Muhammadiyah Senior High School 01 Medan about promiscuoussex. This research uses descriptive method with cross sectional design. The subject of this study was the tenth gradestudents of Muhammadiyah High School 01 Medan. Retrieval of data with total sampling technique, collecting data using aquestionnaire. Data analysis with univariate analysis. Based on the results of univariate analysis, the level of knowledge of10th grade students of Muhammadiyah High School 01 Medan is mostly good, which is 66 respondents (86.8%.The majority of 10th grade adolescents already have a good understanding of promiscuous sex both in each category, aswell as in all categories.
Graphene based reversible metal electrodeposition for dynamic infrared modulation
Year: 2020

Dynamic modulation of thermal radiation has emerged as an important field of research in recent years, and it has shown a wide range of potential applications in energy efficient buildings, personal thermal management, adaptive camouflage and spacecraft thermoregulation. Herein, inspired by the unique optical properties of metals and the excellent optical and electrical properties of graphene, we develop dynamic infrared (IR) modulation devices by reversibly electrodepositing metals on graphene based electrodes. The as prepared graphene based electrodes show high IR transparency and acceptable sheet resistance on the O2 plasma treated polypropylene (PP) films and the zinc oxide (ZnO) modified barium fluoride (BaF2) substrates, satisfying the basic requirements of achieving dynamic IR modulation in reversible metal electrodeposition (RME) systems. Moreover, by assembling the two types of graphene based IR transparent electrodes into a two electrode RME system and after electrodepositing for tens of seconds, both of the two devices exhibit substantial apparent temperature declines, indicating their potential IR modulation capabilities. Finally, we believe that incorporating IR transparent graphene based electrodes into RME systems may provide a possible dynamic IR modulation approach for inspiring and bettering many thermal radiation management related technologies.
Tax Amnesty dalam Prespektif UMKM UD. Bunga di Jawa Timur
Year: 2018

Penelitian ini bertujuan untuk memberikan pengetahuan mengenai sistem perpajakan yang dilakukan perusahaan, terutama perusahaan UMKM dalam menjalankan sistem perpajakan rutin serta pelaksanaan Tax Amnesty. Penelitian ini merupakan penelitian dengan pendekatan kualitatif. Dalam melakukan penelitian, penulis menggunakan 3 metode untuk melakukan pengumpulan data, yaitu wawancara, observasi, dan analisis dokumen. Objek penelitian dalam penelitian ini adalah UD. BUNGA yang terletak di Jawa Timur dan bergerak dalam industri makanan dan packing. Hasil penelitian ini menjelaskan bahwa setiap Wajib Pajak memiliki kewajiban yang sama dalam melakukan pembayaran pajak sesuai dengan aktivitas perpajakannya. Namun masih banyak Wajib Pajak, khususnya UMKM yang masih belum sadar akan kewajibannya dan melakukan beberapa praktek perpajakan hal ini dikarenakan adanya beberapa faktor yang mempengaruhi yaitu tekanan, kesempatan, sikap/ rasionalisasi, dan kemampuan atau jika dikaitkan dengan fraud maka dapat disebut dengan Fraud Diamond. Keempat faktor tersebut menjadi pendorong dari adanya praktek perpajakan yang dilakukan. Hal ini tentunya dapat merugikan negara khususnya dalam perekonomian negara dimana berdampak pada berkurangnya penerimaan negara khususnya dalam sektor perpajakan, karena diketahui bahwa sektor perpajakan merupakan penyumbang terbesar pendapat negara. Oleh sebab itu, untuk mengatasi permasalahan ini pemerintah menjalankan program Tax Amnesty untuk meningkatkan pendapatan negara. Pelaksanaan Tax Amnesty mendapat kesan yang positif dan negatif dari wajib pajak, khususnya UMKM. Beberapa Wajib Pajak mengikuti Tax Amnesty bahkan bukan didasari dari kesadaran diri sendiri tetapi dari adanya beberapa faktor yang mempegaruhi. Dengan adanya Tax Amnesty Wajib Pajak, khususnya UMKM berharap agar Tax Amnesty dapat memajukan dan meningkatkan perekonomian negara dan membuat praktek perpajakan menjadi lebih baik, transaparan, dan merata dalam semua lapisan masyarakat.
Design and Validation for FPGA Trust under Hardware Trojan Attacks
Venue: IEEE Transactions on Multi Scale Computing Systems
Year: 2016

Field programmable gate arrays (FPGAs) are being increasingly used in a wide range of critical applications, including industrial, automotive, medical, and military systems. Since FPGA vendors are typically fabless, it is more economical to outsource device production to off shore facilities. This introduces many opportunities for the insertion of malicious alterations of FPGA devices in the foundry, referred to as hardware Trojan attacks, that can cause logical and physical malfunctions during field operation. The vulnerability of these devices to hardware attacks raises serious security concerns regarding hardware and design assurance. In this paper, we present a taxonomy of FPGA specific hardware Trojan attacks based on activation and payload characteristics along with Trojan models that can be inserted by an attacker. We also present an efficient Trojan detection method for FPGA based on a combined approach of logic testing and side channel analysis. Finally, we propose a novel design approach, referred to as Adapted Triple Modular Redundancy (ATMR) to reliably protect against Trojan circuits of varying forms in FPGA devices. We compare ATMR with the conventional TMR approach. The results demonstrate the advantages of ATMR over TMR with respect to power overhead, while maintaining the same or higher level of security and performances as TMR. Further improvement in overhead associated with ATMR is achieved by exploiting reconfiguration and time sharing of resources.
BICEP2. II. Experiment and three year data set
Year: 2014

We report on the design and performance of the BICEP2 instrument and on its three year data set. BICEP2 was designed to measure the polarization of the cosmic microwave background (CMB) on angular scales of 1deg 5deg(l 40 200) near the expected peak of the B mode polarization signature of primordial gravitational waves from cosmic inflation. Measuring B modes requires dramatic improvements in sensitivity combined with exquisite control of systematics. The BICEP2 telescope observed from the South Pole with a 26 cm aperture and cold, on axis, refractive optics. BICEP2 also adopted a new detector design in which beam defining slot antenna arrays couple to transition edge sensor (TES) bolometers, all fabricated on a common substrate. The antenna coupled TES detectors supported scalable fabrication and multiplexed readout that allowed BICEP2 to achieve a high detector count of 500 bolometers at 150 GHz, giving unprecedented sensitivity to B modes at degree angular scales. After optimization of detector and readout parameters, BICEP2 achieved an instrument noise equivalent temperature of $15.8\ \mu \mathrm{K}\sqrt{\mathrm{s} The full data set reached Stokes Q and U map depths of 87.2 nK in square degree pixels (5farcm2 mK) over an effective area of 384 deg2 within a 1000 deg2 field. These are the deepest CMB polarization maps at degree angular scales to date. The power spectrum analysis presented in a companion paper has resulted in a significant detection of B mode polarization at degree scales.
Regularizing linear inverse problems with convolutional neural networks
Venue: ArXiv
Year: 2019

Deep convolutional neural networks trained on large datsets have emerged as an intriguing alternative for compressing images and solving inverse problems such as denoising and compressive sensing. However, it has only recently been realized that even without training, convolutional networks can function as concise image models, and thus regularize inverse problems. In this paper, we provide further evidence for this finding by studying variations of convolutional neural networks that map few weight parameters to an image. The networks we consider only consist of convolutional operations, with either fixed or parameterized filters followed by ReLU non linearities. We demonstrate that with both fixed and parameterized convolutional filters those networks enable representing images with few coefficients. What is more, the underparameterization enables regularization of inverse problems, in particular recovering an image from few observations. We show that, similar to standard compressive sensing guarantees, on the order of the number of model parameters many measurements suffice for recovering an image from compressive measurements. Finally, we demonstrate that signal recovery with a un trained convolutional network outperforms standard l1 and total variation minimization for magnetic resonance imaging (MRI)
Chapter 9 mmWave communication enabling techniques for 5G wireless systems: A link level perspective
Year: 2017

Millimeter wave (mmWave) communication systems have attracted significant interest regarding meeting the capacity requirements of the future 5G network. The mmWave systems have frequency ranges in between 30 and 300 GHz where a total of around 250 GHz bandwidths are available. Although the available bandwidth of mmWave frequencies is promising, the propagation characteristics are significantly different from microwave frequency bands in terms of path loss, diffraction and blockage, rain attenuation, atmospheric absorption, and foliage loss behaviors. In general, the overall loss of mmWave systems is significantly larger than that of microwave systems for a point to point link. Fortunately, however, the small wavelengths of mmWave frequencies enable large numbers of antenna elements to be deployed in the same form factor thereby providing high spatial processing gains that can theoretically compensate for at least the isotropic path loss. Nevertheless, as mmWave systems are equipped with several antennas, a number of computation and implementation challenges arise to maintain the anticipated performance gain of mmWave systems. Toward this end, this chapter discusses key enabling techniques of the mmWave based 5G network from the link level perspective. The link level performance of the mmWave wireless system depends on a number of factors, including the transmission scheme (i.e. whether we employ beamforming, multiplexing, or both) the approach to identifying the channel, how to design the transmitted signal waveform structure and access strategies. This chapter provides a detailed discussion on these enabling techniques with emphasis on mmWave systems and the resulting link level performances.
Deep Reinforcement Learning in Atari 2600 Games
Year: 2019

Recent research in the domain of Reinforcement Learning (RL) has often focused on the popular deep RL algorithm Deep Q learning (DQN) A different deep RL algorithm, similar to DQN, called Deep Quality Value Learning (DQV) has received much less attention, albeit its great potential in outperforming DQN due to DQV's theoretical advantage of having an increased learning speed due to only approximating a state value mapping instead of a state action value mapping as a target network. This thesis focuses on comparing these two aforementioned deep RL algorithms on their performances in learning to play different Atari 2600 games provided by the OpenAI gym. The impact of different exploration strategies on the learning performance of DQN and DQV will be examined, more specifically, a diversity driven approach (Div DQN and Div DQV) and a noisy network approach (NoisyNet DQN and NoisyNet DQV) will be compared to traditional implementations of DQN and DQV. The results show that the standard DQV algorithm outperforms DQN and that DQV based variants in general slightly outperform DQN based variants. The NoisyNet approach shows the overall best training outcome, followed by DQV, the diversity driven approach, and DQN.
O UNIVERSO DAS EXPRESSOES IDIOMATICAS NA REVISTA "MUNDO ESTRANHO"
Year: 2016

Com o intuito de popularizar a ciencia, as revistas de divulgacao cientifica utilizam de muitos artefatos para chamar a atencao dos leitores. Um destes e o uso das expressoes idiomaticas. Objetivando investigar a presenca das expressoes idiomaticas na revista de divulgacao cientifica Mundo Estranho este estudo trara uma analise quantitativa e uma analise retorica das expressoes idiomaticas em exemplares da revista Mundo Estranho comparando os resultados com os obtidos por Seide (2011) no qual houve analise retorica das expressoes idiomaticas revista Superinteressante. Para tanto, o trabalho fundamenta se em pressupostos retoricos, em definicoes de expressoes idiomaticas (Xatara, 1995; Vilela, 2002) e em trabalhos que apresentam caracteristicas do genero textual divulgacao cientifica vislumbrando, prioritariamente, observar quais as semelhancas e as diferencas em ambas revistas.
Corona Virus Disease 2019 and Paediatric Inflammatory Bowel Diseases: Global Experience and Provisional Guidance (March 2020) from the Paediatric IBD Porto Group of European Society of Paediatric Gastroenterology, Hepatology, and Nutrition
Venue: Journal of pediatric gastroenterology and nutrition
Year: 2020

With the current coronavirus disease 2019 (COVID 19) pandemic, concerns have been raised about the risk to children with inflammatory bowel diseases (IBD) We aimed to collate global experience and provide provisional guidance for managing paediatric IBD (PIBD) in the era of COVID 19.  An electronic reporting system of children with IBD infected with SARS CoV 2 has been circulated among 102 PIBD centres affiliated with the Porto and Interest group of ESPGHAN. A survey has been completed by major PIBD centres in China and South Korea to explore management during the pandemic. A third survey collected current practice of PIBD treatment. Finally, guidance points for practice have been formulated and voted upon by 37 PIBD authors and Porto group members.  Eight PIBD children had COVID 19 globally, all with mild infection without needing hospitalization despite treatment with immunomodulators and/or biologics. No cases have been reported in China and South Korea but biologic treatment has been delayed in 79 children, of whom 17 (22% had exacerbation of their IBD. Among the Porto group members, face to face appointments were often replaced by remote consultations but almost all did not change current IBD treatment. Ten guidance points for clinicians caring for PIBD patients in epidemic areas have been endorsed with consensus rate of 92% to 100%  Preliminary data for PIBD patients during COVID 19 outbreak are reassuring. Standard IBD treatments including biologics should continue at present through the pandemic, especially in children who generally have more severe IBD course on one hand, and milder SARS CoV 2 infection on the other. Supplemental digital content: An infographic accompanying this article can be found at.