nils-herrmann/clean_scirepeval huggingface dataset:
Large Eddy Simulation of transitional flow over a flat plate
Year: 2016

The transition of the laminar boundary layer to turbulence in the free stream is of major importance in turbomachinery flows. Transition in the boundary layer has a big impact on flow parameters such as skin friction coefficient and shape factor thereby affecting the design and development process. It is known that the boundary layer transition is affected by properties of the free stream turbulence such as its anisotropy, length scale and its intensity. In the present thesis a Large Eddy Simulation (LES) has been performed of a zero pressure gradient flat plate boundary layer undergoing transition to turbulence under free stream turbulence at a level of 6% In the current work the bypass transition is defined as a superposition of the Blasius layer with freestream continuous isotropic turbulence at an initial intensity level of 6% An effort is made to capture the length and position of boundary layer transition over the flat plate and a subsequent comparison of the skin friction coefficient and shape factor were made with the experimental data. A finite volume method based in house solver in Fortran, namely CALC LES, is used for performing the simulations. The solver of CALC LES is based on a geometric multigrid algorithm to solve the pressure (poisson) equation. Three different subgrid scale (SGS) models are used for performing comparative studies the Smargorinsky Lilly model, the Wall adapting local eddy viscosity (WALE) model and the Scale similarity model. The experimental data for the skin friction coefficient and shape factor were used as a basis to ascertain whether the present simulation manages to capture transition. The present simulations fail to capture the transition appropriately in the boundary layer over the flat plate. The dimensionless coefficients, namely the skin friction coefficient and the shape factor are not in the exact accordance with the experimental data. The mesh independence study showed that the stream wise resolution hardly played any role in the transition. The study of the resolved Reynolds stress components in the boundary layer revealed that the stream wise stress component decreased in magnitude significantly, but it doesn't get distributed into the other components. As a result transition is not observed. Upon further inspection of the turbulent kinetic energy peak showed that probably the stream wise streaks grow, but either they were not big enough to trigger transition or there was no continuous forcing provided by the free stream turbulence to trigger transition. It is not known what aspect of the current LES simulations are at fault but in the light of the general level of agreement obtained, we conclude that,the the simulation qualitatively mimics the real boundary layer even though precise quantitative agreement is not found for all variables.
Fusing Bird's Eye View LIDAR Point Cloud and Front View Camera Image for 3D Object Detection
Venue: 2018 IEEE Intelligent Vehicles Symposium (IV)
Year: 2018

We propose a new method for fusing LIDAR point cloud and camera captured images in deep convolutional neural networks (CNN) The proposed method constructs a new layer called sparse non homogeneous pooling layer to transform features between bird's eye view and front view. The sparse point cloud is used to construct the mapping between the two views. The pooling layer allows efficient fusion of the multi view features at any stage of the network. This is favorable for 3D object detection using camera LIDAR fusion for autonomous driving. A corresponding one stage detector is designed and tested on the KITTI bird's eye view object detection dataset, which produces 3D bounding boxes from the bird's eye view map. The fusion method shows significant improvement on both speed and accuracy of the pedestrian detection over other fusion based object detection networks.
Path guided time varying formation control with collision avoidance and connectivity preservation of under actuated autonomous surface vehicles subject to unknown input gains
Venue: Ocean Engineering
Year: 2019

This paper investigates the distributed time varying formation control for a swarm of under actuated autonomous surface vehicles subject to unknown input gains, in addition to model uncertainties and ocean disturbances. The fleet is required to follow a parameterized path with a time varying formation while avoiding collisions and maintaining connectivity at a complex sea environment. At the kinematic level, a distributed guidance control law is proposed based on a consensus approach, a path following design, artificial potential functions, and an auxiliary variable approach. At the kinetic level, an adaptive kinetic control law is designed based on an indirect model reference adaptive control approach where a neural estimator is developed for identifying unknown input gains, model uncertainties and ocean disturbances. The stability of the closed loop system is proven via cascade stability analysis. The advantage of the proposed method is three folds. First, the developed time varying formation controller is able to achieve various coordinated behaviors such as cooperative target tracking and target enclosing. Second, the proposed time varying formation controller is robust against model uncertainties, ocean disturbances and unknown input gains. Third, the proposed distributed controller holds the capability of collision avoidance and connectivity preservation. Simulation results substantiate the effectiveness of the proposed path guided time varying formation controllers.
The Effect of Cognitive Limb Embodiment on Vascular Physiological Response
Year: 2018

The rubber hand illusion (RHI) is a visual tactile perceptual illusion commonly used to study body ownership. In this paradigm, a rubber hand is positioned in front of a participant, and the person's real hand is hidden from sight behind a barrier. When the real hand and the rubber hand are stroked synchronously, individuals perceive the rubber hand as if it were their own; it becomes "embodied." This illusory experience of body ownership is associated with multimodal integration of touch and vision. From these visual tactile cognitive mechanisms, we establish that our hands belong to us when what we see matches what we feel. Recently, studies have established a correlation between the induction of the RHI and temperature changes at the skin surface. Interestingly, when the brain perceives its real limb to be "disembodied" during the cognitive illusion, the temperature of that real limb drops. The central hypothesis for the proposed study is that cognitive limb embodiment directly affects blood flow patterns; blood flow in a specific limb can be disrupted by altering the sense of the limb's embodiment. Our rationale is that understanding the mechanisms underlying thermal vascular regulation in healthy and diseased populations is clinically significant because blood flow can be used as a physiological marker of cognitive limb embodiment and may also be particularly important in identifying and understanding disease states.
PENGARUH SISTEM INFORMASI SLIMS TERHADAP MANAJEMEN KEMUDAHAN PENGGUNAAN LAYANAN DI PERPUSTAKAAN IAIN KEDIRI
Year: 2020

Kemajuan teknologi khususnya di bidang IT pada saat ini berkembang cukup pesat. Salah satu manfaat yang didapatkan dari adanya perkembangan teknologi IT ini adalah adanya kemudahaan penggunaan dalam suatu sistem unit. SliMS (Senayan Library Management System) merupakan salah satu bentuk sistem dari adanya perkembangan IT, yang diharapkan dapat membantu peningkatan manajemen pelayanan di suatu perpustakaan. Penelitian ini dilakukan dengan tujuan untuk mengetahui manajemen kemudahan penggunaan dari sistem informasi SliMS berdasarkan persepsi kemudahan pengguna Perceived Easy of Use di Perpustakaan IAIN Kediri. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survey dimana variabel dari penelitian ini adalah sistem informasi SliMS (X) sebagai variabel independen dan kemudahan penggunaan (Y) sebagai variabel dependen. Objek dalam penelitian ini adalah mahasiswa MPI IAIN Kediri berjumlah 110 dengan sampel berjumlah 86, sesuai tabel sampel Krejcie Morgan. Teknik pengumpulan data berupa kuesioner tertutup dengan memakai Skala Likert. Berdasarkan hasil analisis regresi linear sederhana didapatkan bahwa sistem informasi SLiMS (X) memiliki pengaruh positif terhadap kemudahan penggunaan (Y) dengan total pengaruh sebesar 14,9% sehingga dapat disimpulkan bahwa sistem informasi SliMS memiliki peranan dalam peningkatan layanan yang ada di perpustakaan IAIN Kediri.
DC Microgrid Protection: A Comprehensive Review
Year: 2019

DC microgrids have attracted significant attention over the last decade in both academia and industry. DC microgrids have demonstrated superiority over AC microgrids with respect to reliability, efficiency, control simplicity, integration of renewable energy sources, and connection of dc loads. Despite these numerous advantages, designing and implementing an appropriate protection system for dc microgrids remains a significant challenge. The challenge stems from the rapid rise of dc fault current which must be extinguished in the absence of naturally occurring zero crossings, potentially leading to sustained arcs. In this paper, the challenges of DC microgrid protection are investigated from various aspects including, dc fault current characteristics, ground systems, fault detection methods, protective devices, and fault location methods. In each part, a comprehensive review has been carried out. Finally, future trends in the protection of DC microgrids are briefly discussed.
Khusyu Dalam Perspektif Dosen dan Pegawai STAIN Kudus
Year: 2017

Artikel ini bermaksud membahas tentang persepsi Muslim tentang khusyu' yang merupakan kondisi kejiwaan yang penting dalam ibadah terutama shalat. Penelitian dilakukan terhadap dosen dan pegawai di lingkungan STAIN Kudus. Data diperoleh dari wawancara mendalam dengan enam informan yang kemudian dianalisa dengan menggunakan pendekatan kualitatif deskriptif. Hasil penelitian menunjukkan bahwa meskipun terdapat variasi tentang makna khusyu' semua narasumber bersepakat tentang arti pentingnya khusyu' baik dalam shalat maupun dalam kehidupan sehari hari. Sementara itu indicator indikator yang disampaikan oleh informan sejalan dengan indicator yang disampaikan oleh Imam al Ghazali.
Nr2e3 is a genetic modifier that rescues retinal degeneration and promotes homeostasis in multiple models of retinitis pigmentosa
Venue: Gene Therapy
Year: 2020

Recent advances in viral vector engineering, as well as an increased understanding of the cellular and molecular mechanism of retinal diseases, have led to the development of novel gene therapy approaches. Furthermore, ease of accessibility and ocular immune privilege makes the retina an ideal target for gene therapies. In this study, the nuclear hormone receptor gene Nr2e3 was evaluated for efficacy as broad spectrum therapy to attenuate early to intermediate stages of retinal degeneration in five unique mouse models of retinitis pigmentosa (RP) RP is a group of heterogenic inherited retinal diseases associated with over 150 gene mutations, affecting over 1.5 million individuals worldwide. RP varies in age of onset, severity, and rate of progression. In addition, ~40% of RP patients cannot be genetically diagnosed, confounding the ability to develop personalized RP therapies. Remarkably, Nr2e3 administered therapy resulted in reduced retinal degeneration as observed by increase in photoreceptor cells, improved electroretinogram, and a dramatic molecular reset of key transcription factors and associated gene networks. These therapeutic effects improved retinal homeostasis in diseased tissue. Results of this study provide evidence that Nr2e3 can serve as a broad spectrum therapy to treat multiple forms of RP.
SAFETY study: alanine aminotransferase cutoff values are set too high for reliable detection of pediatric chronic liver disease.
Venue: Gastroenterology
Year: 2010

The appropriate alanine aminotransferase (ALT) threshold value to use for diagnosis of chronic liver disease in children is unknown. We sought to develop gender specific, biology based, pediatric ALT thresholds.  The Screening ALT for Elevation in Today's Youth (SAFETY) study collected observational data from acute care children's hospitals, the National Health and Nutrition Examination Survey (NHANES, 1999 2006) overweight children with and without non alcoholic fatty liver disease (NAFLD) and children with chronic hepatitis B virus (HBV) or hepatitis C virus (HCV) infections. The study compared the sensitivity and specificity of ALT thresholds currently used by children's hospitals vs study derived, gender specific, biology based, ALT thresholds for detecting children with NAFLD, HCV, or HBV.  The median upper limit of ALT at children's hospitals was 53 U/L (range, 30 90 U/L) The 95th percentile levels for ALT in healthy weight, metabolically normal, liver disease free, NHANES pediatric participants were 25.8 U/L (boys) and 22.1 U/L (girls) The concordance statistics of these NHANES derived thresholds for liver disease detection were 0.85 (95% confidence interval [CI] 0.74 0.96) in boys and 0.91 (95% CI: 0.83 0.99) in girls for NAFLD, 0.80 (95% CI: 0.70 0.91) in boys and 0.79 (95% CI: 0.69 0.89) in girls for HBV, and 0.86 (95% CI: 0.77 0.95) in boys and 0.84 (95% CI: 0.75 0.93) in girls for HCV. Using current children's hospitals ALT thresholds, the median sensitivity for detection of NAFLD, HBV, and HCV ranged from 32% to 48% median specificity was 92% (boys) and 96% (girls) Using NHANES derived thresholds, the sensitivities were 72% (boys) and 82% (girls) specificities were 79% (boys) and 85% (girls)  The upper limit of ALT used in children's hospitals varies widely and is set too high to reliably detect chronic liver disease. Biology based thresholds provide higher sensitivity and only slightly less specificity. Clinical guidelines for use of screening ALT and exclusion criteria for clinical trials should be modified.
La 1 x Nd x FeO 3 activated carbon as e ffi cient catalysts for the degradation of organic pollutants by heterogeneous electro Fenton reactions
Year: 2018

Perovskites, which have excellent electrocatalytic properties, are promising for use in heterogeneous catalysis. However, the design and development of green and effective electrocatalysts for environmental water treatment remains an arduous challenge. To overcome such difficulties, we present a facile sol gel method for the design and preparation of a series of perovskite activated carbon (AC) composites (La1 xNdxFeO3@AC) for the degradation of methyl orange (MO) by heterogeneous electro Fenton reactions. Furthermore, the as made La0.6Nd0.4FeO3@AC composite anode had the strongest oxidation ability and stability, with MO wastewater and COD removal rates reaching 99.81% and 96.66% within 10 minutes, respectively. As far as we know, the La1 xNdxFeO3@AC composites can be regarded as a series of the most effective catalysts for the degradation of MO to date.
Smart Home Energy Management Including Renewable Sources: A QoE Driven Approach
Venue: IEEE Transactions on Smart Grid
Year: 2018

Smart home energy management (SHEM) systems can introduce adjustments in the working period and operations of home appliances to allow for energy cost savings, which can however affect the quality of experience (QoE) perceived by the user. This paper analyses this issue and proposes a QoE aware SHEM system, which relies on the knowledge of the annoyance suffered by users when the operations of appliances are changed with respect to the ideal user's preferences. Accordingly, a number of profiles describing different usages are created in the design phase. At the deployment stage, users behavior and annoyance are registered to assign one of these profiles per appliance. The assigned profile is then exploited by the QoE aware cost saving appliance scheduling and the QoE aware renewable source power allocation algorithms. The former is aimed at scheduling controlled loads based on users profile preferences and electricity prices. The latter re allocates appliances' operations whenever a surplus of energy is available by renewable energy sources. Experimental results demonstrate that the annoyance perceived by users is severely diminished with respect to a QoE unaware strategy, at the expenses of only a limited reduction in energy saving.
Big Data Analysis using Hadoop: A Survey
Year: 2015

Big data is a collection of large data sets that include different types such as structured, unstructured and semi structured data. This data can be generated from different sources like social media, audios, images, log files, sensor data, transactional applications, web etc. To process or analyse this huge amount of data or extracting meaningful information is a challenging task now a days. Big data exceeds the processing capability of traditional database to capture, manage, and process the voluminous amount of data. In this paper we first introduce the general background of big data and then focus on hadoop platform using map reduce algorithm which provide the environment to implement application in distributed environment and it can capable of handling node failure.
Critical Thinking, Clinical Reasoning, and Clinical Judgment: A Practical Approach
Year: 2011

1. What are Critical Thinking, Clinical Reasoning, and Clinical Judgment? 2. How to Develop Critical Thinking 3. Clinical Reasoning and Clinical Judgment 4. Ethical Reasoning, Evidence Based Practice, Teaching Others, Teaching Ourselves, and Test Taking 5. Practicing Clinical Reasoning Skills: Applying Nursing Process 6. Developing Interpersonal, Teamwork, and Self management Skills Response Key for Exercises in Chapters 1 to 5 Appendix A: Concept Mapping: Getting in the "Right" State of Mind Appendix B: Key Brain Parts Involved in  Patients' Rights Appendix D: ANA Standards of Practice and Professional Performance for Registered  Comprehensive Patient Admission
Can packaging elements elicit consumers' emotional responses?
Year: 2012

Emotion has been an important concept in many areas of consumer research such as judgment, decision making and advertising. Little research has been done on emotion in packaging adopting the physiological measures used in other areas. This paper draws on past studies in advertising that measure emotional responses toward image, colour and font, and apply them to packaging research. The study tests the extent at which packaging can elicit consumers' spontaneous emotional response for each of those three elements, by using skin conductance, facial electromyography (EMG) and selfassessment scales. The results show that packaging can elicit an emotional response via different elements. The paper also raises concerns about the accuracy of using selfreport measures of emotional responses to packaging research.
An Interactive Animation Tool for Java Object Oriented Programming Understanding
Venue: International Journal of Programming Languages and Applications
Year: 2019

Java Language becomes the most common Object Oriented Programming Language over the entire world. Students from Computer Sciences and Information Technology are struggling to lean Java concepts and programs on Java. That is because of the various difficulties in understanding Object Orientedconcepts especially by novice programmers. This research adopts the design of interactive animationtool named LearnOOP which includesan animatedvisual model that shows the role of an object within a Java program. The visual object reflects the attributes and behaviour of that object to enhance students' understanding. The interaction between the developed tool and students is conducted and the usability is measured using a questionnaire. The results show that the developed tool is more effective than using traditional teaching and positively impact learning. The results also have confirmed that LearnOOP tool is promising with respect to quality assurance, effectiveness and usability.
New perspectives on the detection and progression of keratoconus.
Venue: Journal of cataract and refractive surgery
Year: 2017

Laser refractive surgery has increased markedly in recent years, making the detection of corneal abnormalities extremely relevant. For this reason, an accurate diagnosis of clinical or subclinical keratoconus is critical. Corneal topography is the primary diagnostic tool for keratoconus detection, and pachymetry data and corneal aberrations are also commonly used. Recently, tomographic measurements using optical coherence tomography and corneal biomechanical indices have been used. In incipient and subclinical keratoconus, the use of a single parameter as a diagnostic factor is not sufficiently accurate. In these cases, the use of algorithms and predictive models is necessary. In addition, determining whether the disease will progress is crucial to selecting the most appropriate treatment. Some factors, such as age, keratometric indices, corneal elevation data, and corneal thickness, seem to be useful in predicting keratoconus progression.
Very High Resolution Image Scene Classification with Semantic Fisher Vectors
Venue: IGARSS 2018 2018 IEEE International Geoscience and Remote Sensing Symposium
Year: 2018

Very high resolution (VHR) image scene classification is the most challenging of remote sensing data analysis, that has attracted researchers' attention. To improve the precision of VHR image scene classification, we propose a new method based on convolutional features extracted by convolutional neural network (CNN) First, Visual Geometry Group Network (VGG Net) model is introduced as a feature extractor form the original VHR images. Second, we select the fifth convolutional layer constructed by VGG Net, which is supposed as convolutional features descriptors. Third, based on Improved Fisher Vector (IFV) coding method, we compute the visual word corresponding to the convolutional features of the image scene. We conduct experiments on the public AID benchmark dataset, which contains 30 different areal categories with sub meter resolution. Experimental results demonstrate the effectiveness of the proposed method, as compared with several state of the art methods.
Brand Collaboration in International Trade
Year: 2010

In the trend of global economic integration,the competitiveness of Chinese enterprises' products is be impacted and the choice of development strategy of Chinese enterprises is particularly important in the trade framework of WTO. In the Cournot Nash framework,this paper studies the brand collaboration in the condition of international trade. The research shows that a firm owning a superior brand only collaborates with a less reputed firm provided that it has already established its reputation to some extent. The paper also argues that the tariff on affects the conditions of the collaboration.