nils-herrmann/clean_scirepeval huggingface dataset:
The computer expression recognition toolbox (CERT)
Venue: Face and Gesture 2011
Year: 2011

We present the Computer Expression Recognition Toolbox (CERT) a software tool for fully automatic real time facial expression recognition, and officially release it for free academic use. CERT can automatically code the intensity of 19 different facial actions from the Facial Action Unit Coding System (FACS) and 6 different protoypical facial expressions. It also estimates the locations of 10 facial features as well as the 3 D orientation (yaw, pitch, roll) of the head. On a database of posed facial expressions, Extended Cohn Kanade (CK+  CERT achieves an average recognition performance (probability of correctness on a two alternative forced choice (2AFC) task between one positive and one negative example) of 90.1% when analyzing facial actions. On a spontaneous facial expression dataset, CERT achieves an accuracy of nearly 80% In a standard dual core laptop, CERT can process 320 x 240 video images in real time at approximately 10 frames per second.
Growing knowledge: an overview of Seed Plant diversity in Brazil
Year: 2015

An updated inventory of Brazilian seed plants is presented and offers important insights into the country's biodiversity. This work started in 2010, with the publication of the Plants and Fungi Catalogue, and has been updated since by more than 430 specialists working online. Brazil is home to 32,086 native Angiosperms and 23 native Gymnosperms, showing an increase of 3% in its species richness in relation to 2010. The Amazon Rainforest is the richest Brazilian biome for Gymnosperms, while the Atlantic Rainforest is the richest one for Angiosperms. There was a considerable increment in the number of species and endemism rates for biomes, except for the Amazon that showed a decrease of 2.5% of recorded endemics. However, well over half of Brazillian seed plant species (57.4% is endemic to this territory. The proportion of life forms varies among different biomes: trees are more expressive in the Amazon and Atlantic Rainforest biomes while herbs predominate in the Pampa, and lianas are more expressive in the Amazon, Atlantic Rainforest, and Pantanal. This compilation serves not only to quantify Brazilian biodiversity, but also to highlight areas where there information is lacking and to provide a framework for the challenge faced in conserving Brazil's unique and diverse flora.
An overview of deep learning based methods for unsupervised and semi supervised anomaly detection in videos
Venue: J. Imaging
Year: 2018

Videos represent the primary source of information for surveillance applications and are available in large amounts but in most cases contain little or no annotation for supervised learning. This article reviews the state of the art deep learning based methods for video anomaly detection and categorizes them based on the type of model and criteria of detection. We also perform simple studies to understand the different approaches and provide the criteria of evaluation for spatio temporal anomaly detection.
FFU Net: Feature Fusion U Net for Lesion Segmentation of Diabetic Retinopathy
Venue: BioMed research international
Year: 2021

Diabetic retinopathy is one of the main causes of blindness in human eyes, and lesion segmentation is an important basic work for the diagnosis of diabetic retinopathy. Due to the small lesion areas scattered in fundus images, it is laborious to segment the lesion of diabetic retinopathy effectively with the existing U Net model. In this paper, we proposed a new lesion segmentation model named FFU Net (Feature Fusion U Net) that enhances U Net from the following points. Firstly, the pooling layer in the network is replaced with a convolutional layer to reduce spatial loss of the fundus image. Then, we integrate multiscale feature fusion (MSFF) block into the encoders which helps the network to learn multiscale features efficiently and enrich the information carried with skip connection and lower resolution decoder by fusing contextual channel attention (CCA) models. Finally, in order to solve the problems of data imbalance and misclassification, we present a Balanced Focal Loss function. In the experiments on benchmark dataset IDRID, we make an ablation study to verify the effectiveness of each component and compare FFU Net against several state of the art models. In comparison with baseline U Net, FFU Net improves the segmentation performance by 11.97% 10.68% and 5.79% on metrics SEN, IOU, and DICE, respectively. The quantitative and qualitative results demonstrate the superiority of our FFU Net in the task of lesion segmentation of diabetic retinopathy.
GPGPU accelerated construction of high resolution generalized voronoi diagrams and navigation meshes
Venue: MIG 2014
Year: 2014

This paper presents a GPU accelerated approach for improving the approximated construction of Generalized Voronoi Diagrams (GVDs) Previous work has shown how to render a GVD onto the GPU framebuffer, and copy it to the CPU for extraction of a high quality diagram. We improve upon this technique by performing more computations in parallel on the GPU, and reducing the amount of data transferred to the CPU. We also design a multi tiled construction technique that overcomes hardware limitations and enables much higher rendering resolutions, thus reducing discretization errors. Next, we extend our approach to create an Explicit Corridor Map navigation mesh, which is an efficient data structure for path planning in modern crowd simulation systems. The new implementation allows much faster construction of GVDs and navigation meshes at virtually infinite resolutions.
Construccion ideologica del acoso sexual callejero. Delimitaciones y posicionamientos de varones del Area Metropolitana de Guadalajara
Year: 2019

En esta investigacion se situa el acoso sexual callejero como problema social en relacion con la violencia de genero y como practica que indica un ejercicio de poder por parte de los varones que favorece la subordinacion de las mujeres. La perspectiva de esta investigacion se enfoca en el estudio de los componentes ideologicos de la opinion de varones del Area Metropolitana de Guadalajara, Mexico sobre acoso sexual callejero. El estudio consta de 11 entrevistas semi estructuradas en las que se exploran las construcciones sobre las interacciones en el espacio publico que realizan los varones como sujetos de discurso para definir su posicionamiento en relacion con las delimitaciones sociales que se establecen del acoso sexual callejero desde una perspectiva sociocultural. Los varones se posicionan en tres dimensiones principales: como hombres que asumen su genero, diferentes a las mujeres y con un claro distanciamiento de las practicas que cada uno asume de acoso sexual. Se identifican delimitaciones sociales del acoso sexual callejero que se relacionan con el espacio publico, interacciones con mujeres en relacion con el cortejo y causas que forman parte de las instituciones sociales como la escuela y la familia; en suma, constituyen creencias, sistemas de valores y actitudes en relacion con la masculinidad hegemonica que se comparten socialmente.
Buccal bone plate remodeling after immediate implant placement with and without synthetic bone grafting and flapless surgery: radiographic study in dogs.
Venue: The Journal of oral implantology
Year: 2012

Recent studies in animals have shown pronounced resorption of the buccal bone plate after immediate implantation. The use of flapless surgical procedures prior to the installation of immediate implants, as well as the use of synthetic bone graft in the gaps represent viable alternatives to minimize buccal bone resorption and to favor osseointegration. The aim of this study was to evaluate the healing of the buccal bone plate following immediate implantation using the flapless approach, and to compare this process with sites in which a synthetic bone graft was or was not inserted into the gap between the implant and the buccal bone plate. Lower bicuspids from 8 dogs were bilaterally extracted without the use of flaps, and 4 implants were installed in the alveoli in each side of the mandible and were positioned 2.0 mm from the buccal bone plate (gap) Four groups were devised: 2.0 mm subcrestal implants (3.3 x 8 mm) using bone grafts (SCTG) 2.0 mm subcrestal implants without bone grafts (SCCG) equicrestal implants (3.3 x 10 mm) with bone grafts (ECTG) and equicrestal implants without bone grafts (ECCG) One week following the surgical procedures, metallic prostheses were installed, and within 12 weeks the dogs were sacrificed. The blocks containing the individual implants were turned sideways, and radiographic imaging was obtained to analyze the remodeling of the buccal bone plate. In the analysis of the resulting distance between the implant shoulder and the bone crest, statistically significant differences were found in the SCTG when compared to the ECTG (P .02) and ECCG (P .03) For mean value comparison of the resulting linear distance between the implant surface and the buccal plate, no statistically significant difference was found among all groups (P .05) The same result was observed in the parameter for presence or absence of tissue formation between the implant surface and buccal plate. Equicrestally placed implants, in this methodology, presented little or no loss of the buccal bone. The subcrestally positioned implants presented loss of buccal bone, even though synthetic bone graft was used. The buccal bone, however, was always coronal to the implant shoulder.
Exploring Higher Order Dependency Parsers
Year: 2011

Exploring Higher Order Dependency Parsers Author: Pranava Swaroop Madhyastha Department: Institute of Formal and Applied Linguistics Department of Human Language Science and Technology Supervisor: Professor Michael Rosner& RNDr. Daniel Zeman Supervisor's e mail address:mike.rosner@um.edu.mt zeman@ufal.mff.cuni.cz Abstract: Most of the recent efficient algorithms for dependency parsing work by factoring the dependency trees. In most of these approaches, the parser loses much of the contextual information during the process of factorization. There have been approaches to build higher order dependency parsers second order, [Carreras2007] and third order [Koo and Collins2010] In the thesis, the approach by Koo and Collins should be further exploited in one or more ways. Possible directions of further exploitation include but are not limited to: investigating possibilities of extension of the approach to non projective parsing; integrating labeled parsing; joining word senses during the parsing phase [Eisner2000] Most of the recent efficient algorithms for dependency parsing work by factoring the dependency trees. In most of these approaches, the parser loses much of the contextual information during the process of factorization. There have been approaches to build higher order dependency parsers second order, [Carreras2007] and third order [Koo and Collins2010] In the thesis, the approach by Koo and Collins should be further exploited in one or more ways. Possible directions of further exploitation include but are not limited to: investigating possibilities of extension of the approach to non projective parsing; integrating labeled parsing; joining word senses during the parsing phase [Eisner2000]
Fractional CO2 Laser: From Skin Rejuvenation to Vulvo Vaginal Reshaping.
Venue: Photomedicine and laser surgery
Year: 2017

The CO2 laser has become the gold standard treatment in dermatologic surgery for the treatment of a large number of skin and mucosal lesions. The introduction of the fractional micro ablative technology represented an integration to the ablative resurfacing technique, reducing the healing time and the side effects.  Vaginal rejuvenation performed with this technique is a minimally invasive procedure that stimulates internal tissues of the female lower genital tract to regenerate the mucosa, improving tissue trophism and restoring the correct functionality.  In our experience, 386 menopausal women affected with vulvo vaginal atrophy (VVA) were treated with three section of fractional micro ablative CO2 laser.  After three treatments, patients reported a complete improvement of the symptoms (59.94% dryness, 56.26% burn, sensation, 48.75% dyspareunia, 56.37% itch, 73.15% soreness, and 48.79% vaginal introitus pain) CONCLUSIONS Fractional micro ablative CO2 laser seems to reduce symptoms related to vaginal atrophy. The beneficial effects were reported just after the first session and confirmed 12 months after the last session.
PENGARUH PEMAHAMAN PERATURAN PERPAJAKAN, KUALITAS PELAYANAN FISKUS, SANKSI PAJAK DAN TAX AMNESTY TERHADAP KEPATUHAN WAJIB PAJAK DENGAN PREFERENSI RESIKO SEBAGAI VARIABEL MODERASI
Year: 2019

Penelitian ini bertujuan untuk mengetahui pengaruh pemahaman peraturan perpajakan, kualitas pelayanan fiskus, sanksi perpajakan, dan tax amnesty terhadap kepatuhan wajib pajak dengan preferensi risiko sebagai variabel moderasi. Populasi dalam penelitian ini adalah Wajib Pajak Orang Pribadi (WP OP) yang masih aktif. Sampel dalam penelitian ini 100 wajib pajak orang pribadi. Pembagian kuesioner dilakukan dengan metode conveniennce sampling. Kuesioner yang di distrubisikan 110, namun yang dapat diolah hanya 100 dengan respon rate sebesar 90,9% Teknik analisis data dalam penellitian ini menggunakan uji asumsi klasik, dan Moderated Regression Analysis (MRA) melalui SPSS 23. Hasil penelitian menunjukkan bahwa preferensi risiko dapat memoderasi pengaruh antara tax amnesty terhadap kepatuhan wajib pajak. Namun preferensi risiko tidak dapat memoderasi pengaruh antara pemahaman peraturan perpajakan, kualiatas pelayanan fiskus, dan sanksi perpajakan.
Watermarking PRFs under Standard Assumptions: Public Marking and Security with Extraction Queries
Venue: IACR Cryptol. ePrint Arch.
Year: 2018

A software watermarking scheme can embed some information called a mark into a program while preserving its functionality. No adversary can remove the mark without damaging the functionality of the program. Cohen et al.  gave the first positive results for watermarking, showing how to watermark certain pseudorandom function (PRF) families using indistinguishability obfuscation (iO) Their scheme has a secret marking procedure to embed marks in programs and a public extraction procedure to extract the marks from programs; security holds even against an attacker that has access to a marking oracle. Kim and Wu (CRYPTO '17) later constructed a PRF watermarking scheme under only the LWE assumption. In their scheme, both the marking and extraction procedures are secret, but security only holds against an attacker with access to a marking oracle but not an extraction oracle. In fact, it is possible to completely break the security of the latter scheme using extraction queries, which is a significant limitation in any foreseeable application.
An Experimental Study of a Data Compression Technology Based Intelligent Data Acquisition (IDAQ) System for Structural Health Monitoring of a Long Span Bridge
Year: 2018

There has recently been an increase in interest in structural health monitoring (SHM) using wireless sensor networks. For SHM, in particular, it is important to accurately and efficiently measure the dynamic acceleration response using wireless sensor networks in real time. For the purpose, a CAFB (cochlea inspired artificial filter bank) has been developed in a previous study, which is a dynamic data compression technology. Since the developed CAFB can select and compress only the interested range of frequency signals from an entire response of a structure, it efficiently provides a real time dynamic response based on wireless networking. CAFB of the previous study is optimized to selectively acquire low frequency signals of sub 10 Hz, which is required for SHM of long and large scale structures. According to the CAFB's optimization using an El Centro seismic waveform, six band pass filters, 1.0 Hz interval, and 0.6 Hz bandwidth have been adapted. This article is to evaluate dynamic acceleration response performance of civil structures using the CAFB developed in the previous study. To achieve the purpose, the optimally designed CAFB was embedded in an intelligent data acquisition (IDAQ) system. To evaluate the performance of the IDAQ system with the embedded CAFB, the real time dynamic response was investigated for a model cable stayed bridge, measured by a wire measuring system and the CAFB based IDAQ system simultaneously. The results show excellent agreement between the compressed dynamic response acquired by the CAFB based IDAQ system and that acquired by the wire measuring system. In addition, the measurement from the CAFB based IDAQ system revealed the modal information of the model bridge. The developed CAFB can determine and reconstruct the entire dynamic response from compression with modal information only; its efficient operation illustrates its potential to be utilized in real time structural health monitoring.
Pre Market Trading and IPO Pricing: Evidence from Taiwan
Year: 2014

We study the only mandatory pre IPO market in the world Taiwan's Emerging Stock Market (ESM) We document that pre market prices are very informative about post market prices and that the pre market price efficiency increases with trading liquidity. Pre market prices are utilized in IPO pricing. The ESM price earnings ratio shortly before the IPO explains about 90% of the variation in the price earnings ratio calculated using the offer price. Moreover, the more informative the pre market price is, the higher the offer price (i.e. the lower the underpricing) However, the average IPO underpricing level remains high despite the pre market. We provide evidence that this is due to underwriters' rent seeking behavior, suggesting that agency problems can lead to high levels of underpricing even when there is little information asymmetry or valuation uncertainty about the stock.
Gaze cueing of attention: visual attention, social cognition, and individual differences.
Venue: Psychological bulletin
Year: 2007

During social interactions, people's eyes convey a wealth of information about their direction of attention and their emotional and mental states. This review aims to provide a comprehensive overview of past and current research into the perception of gaze behavior and its effect on the observer. This encompasses the perception of gaze direction and its influence on perception of the other person, as well as gaze following behavior such as joint attention, in infant, adult, and clinical populations. Particular focus is given to the gaze cueing paradigm that has been used to investigate the mechanisms of joint attention. The contribution of this paradigm has been significant and will likely continue to advance knowledge across diverse fields within psychology and neuroscience.
Who Values Corporate Social Responsibility in the Korean Stock Market?
Venue: Sustainability
Year: 2019

In this study, we explore the stock market's response to new information that a firm has been included in the Dow Jones Sustainability Index (DJSI) in Korea. In addition, we investigate which investor group contributes to the changes, if any significant increase in returns is found, after a firm's incorporation into the DJSI. This study aims to identify which investors value corporate social responsibility (CSR) in the Korean stock market and examine whether the government led campaigns for CSR have affected private sector investors, as well as those from the public sector. We find statistically significant abnormal returns for firms after their first listing in the index, implying that investors in Korean markets consider a firm's inclusion in the DJSI as good news for the firm value. Using a unique dataset from the Korea Exchange (KRX) on investors, we classify investors into four groups: individual investors, public pension funds, other institutional investors, and foreign investors. Unlike prior studies that focus only on the existence of abnormal returns, we investigate the trading behavior of each investor group for such announcements. We find that it is mainly the buying pressure of public pension funds that generates abnormal returns. By contrast, we cannot find statistically significant results for the other investor groups. This result implies that the government led campaign for CSR has only had limited effects in the Korean stock market, and that awareness of CSR in the private sector should be improved.
Adsorption of methyl red on activated carbon derived from custard apple (Annona squamosa) fruit shell: Equilibrium isotherm and kinetic studies
Year: 2018

Activated carbon prepared from custard apple (Annona squamosa) shell by K2CO3 (ACCO3) and H3PO4 (ACPO4) activation were used to study the removal of methyl red (MR) from aqueous medium. The BET surface area, pore volume and pore size of the ACCO3 was 431.3 m2/g, 0.054 cm3/g and 21.63 A and that of ACPO4 was 1065.0, 0.269 cm3/g and 31.91 A, suggesting mesoporous nature of the activated carbons. The FT IR spectra established the occurrence of COOH and OH functional groups. SEM images suggested porous and heterogeneous surface. The contact time, adsorbent dose, initial concentration of MR, initial solution pH and temperature were optimized by batch method. The isotherm modeling of the adsorption data over the concentration range (80 130 mg/L) at 303, 313 and 323 K was performed using non linear regression analysis. The data best described by Langmuir isotherm over the entire concentration range. The negative DGdeg and positive DHdeg values indicated spontaneous and endothermic adsorption process. The kinetic modeling revealed that the experimental data followed the pseudo first order and pseudo second order rate equations for ACPO4 and ACCO3, respectively.
Dense Attention Pyramid Networks for Multi Scale Ship Detection in SAR Images
Venue: IEEE Transactions on Geoscience and Remote Sensing
Year: 2019

Synthetic aperture radar (SAR) is an active microwave imaging sensor with the capability of working in all weather, all day to provide high resolution SAR images. Recently, SAR images have been widely used in civilian and military fields, such as ship detection. The scales of different ships vary in SAR images, especially for small scale ships, which only occupy few pixels and have lower contrast. Compared with large scale ships, the current ship detection methods are insensitive to small scale ships. Therefore, the ship detection methods are facing difficulties with multi scale ship detection in SAR images. A novel multi scale ship detection method based on a dense attention pyramid network (DAPN) in SAR images is proposed in this paper. The DAPN adopts a pyramid structure, which densely connects convolutional block attention module (CBAM) to each concatenated feature map from top to bottom of the pyramid network. In this way, abundant features containing resolution and semantic information are extracted for multi scale ship detection while refining concatenated feature maps to highlight salient features for specific scales by CBAM. Then, the salient features are integrated with global unblurred features to improve accuracy effectively in SAR images. Finally, the fused feature maps are fed to the detection network to obtain the final detection results. Experiments on the data set of SAR ship detection data set (SSDD) including multi scale ships in various SAR images show that the proposed method can detect multi scale ships in different scenes of SAR images with extremely high accuracy and outperforms other ship detection methods implemented on SSDD.