nils-herrmann/clean_scirepeval huggingface dataset:
Exploring 3 hinge gyral folding patterns among HCP Q3 868 human subjects
Venue: Human brain mapping
Year: 2018

Comparison and integration of neuroimaging data from different brains and populations are fundamental in neuroscience. Over the past decades, the neuroimaging field has largely depended on image registration to compare and integrate neuroimaging data from individuals in a common reference space, with a basic assumption that the brains are similar. However, the intrinsic neuroanatomical complexity and huge interindividual cortical folding variation remain underexplored. Here we focus on a specific cortical convolution pattern, termed 3 hinge gyral folding, which is the conjunction of gyri from multiple orientations and has unique and consistent anatomically, structurally, and functionally connective patterns across subjects. By developing a novel shape descriptor and a two stage clustering pipeline, we devise an automatic method to identify 3 hinges in the Human Connectome Project Q3 868 human brains, and further parameterize the complexity of such a pattern and quantify its regularity and variation in terms of 3 hinge number, position, and morphology. Our results not only exhibit the huge interindividual variations, but also reveal regular relationship between gyral hinges and other factors, such as their locations and cortical morphologies. It is found that "line shape" cortices have relatively more consistent 3 hinge shape pattern distributions, and certain types of 3 hinge patterns favor particular cortical morphologies. In addition, more 3 hinges are found on "line shape" cortices while their numbers vary more across subjects than those on "non line shape" cortices. This study adds new insights into a better understanding of the regularity and variability of human brain anatomy, and their functional aspects.
Non Traditional Security (NTS) in Central Asia
Year: 2012

This article describes a new non traditional security paradigm specifically with respect to security challenges that Central Asia faces due to internal instability and ecological disruptions. While security remains a contested term, more and more analysts studying Central Asia have come to define it in response to broad and often interlinked domestic and foreign threats or challenges to these states. Indeed, the linkages between state failure and domestic pathologies and foreign intervention or diminution of sovereignty are palpable and visible in the policies of local governments and among the rival great powers in Central Asia.
Object oriented modeling of an Interior Permanent Magnet Synchronous Motor Drives for Dynamic Simulation of Vehicular Propulsion
Venue: 2006 IEEE Vehicle Power and Propulsion Conference
Year: 2006

This paper describes an object oriented modeling technique of an interior permanent magnet synchronous motor (IPMSM) drives for a dynamic simulation of a hybrid vehicle propulsion system. In order to enhance reusability of the model, each part of an IPMSM drive system is modeled in an object oriented manner according to the physical partitioning of the drive system. This model allows comprehensive analysis of the IPMSM drive, including torque fluctuation of IPMSM, switching strategies of an inverter, and complex algorithm of a controller and it is also possible to simulate in a simplified way for a reduced computation time without considering switching patterns of an inverter. This model is implemented in Simulink environment, which is a de facto standard tool in control and system engineering, and is easily integrated with other models of hybrid propulsion system. By use of the developed model, fundamental characteristics of IPMSM drive system were investigated and the simulation results show its practical effectiveness
Optical Music Recognition
Year: 2018

Optical Music Recognition OMR refers to convert music scores into a machine interpretable form.Actually it is similar to Optical Character Recognition OCR problem.We have generated HOMUS dataset for recognition of music symbol.Staff line detection and removal is one of the main preprocessing steps for symbol recognition as recognition of symbol is easier after staff line removal.We proposed a new deterministic,robust staff line detection and removal technique that divides the music documents vertically into a number of strip and then path is computed using stable path approach method.Then paths are connceted between vertical strips where the paths deviation between vertical strips is less and thus resulting in detection of line of each path and remove those detected line.We have tested our algorithm on the dataset of the recent staff removal competition held under the International Conference of Document Analysis and Recognition(ICDAR) 2011.Experimentally it has been found that our algorithm gives better result in comparison to other existing approaches.In OMR for the recognition of music symbol HOMUS dataset is also generated
Values and education within the framework of Islamisation of knowledge
Year: 2011

This paper examines the relationship between values and education within the framework of [slamisation of KnO\vledge. It shows the importance of values and ethics in the process of knowledge creation, application and dissemination reflecting an integrated model of education. Within the framework of Islamisation of knowledge education appears more holistic and all encompassing with primary emphasis on the person as a whole including; his/her mind, soul, heart, body, character, skills, social relations and over all bringing up.
Technology, Globalization, and Sustainable Development Transforming the Industrial State
Year: 2011

In this book Nicholas A. Ashford and Ralph P. Hall offer a unified, transdisciplinary approach for achieving sustainable development in industrialized nations. They present an insightful analysis of the ways in which industrial states are currently unsustainable and how economic and social welfare are related to the environment, to public health and safety, and to earning capacity and meaningful and rewarding employment. The authors argue for the design of multipurpose solutions to the sustainability challenge that integrate economics, employment, technology, environment, industrial development, national and international law, trade, finance, and public and worker health and safety. This book is essential reading for anyone with a policy or scholarly interest in sustainable development and the critical roles of the economy, employment, and the environment.
Non Line of Sight Surface Reconstruction Using the Directional Light Cone Transform
Venue: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2020

We propose a joint albedo normal approach to non line of sight (NLOS) surface reconstruction using the directional light cone transform (D LCT) While current NLOS imaging methods reconstruct either the albedo or surface normals of the hidden scene, the two quantities provide complementary information of the scene, so an efficient method to estimate both simultaneously is desirable. We formulate the recovery of the two quantities as a vector deconvolution problem, and solve it via Cholesky Wiener decomposition. We demonstrate that surfaces fitted non parametrically using our recovered normals are more accurate than those produced with NLOS surface reconstruction methods recently proposed, and are 1,000 times faster to compute than using inverse rendering.
Using software defined networking to build modern, secure IEC 61850 based substation automation systems
Year: 2020

Substation automation systems (SASs) are an essential part of smart grid systems. They consist of intelligent electronic devices (IEDs) communicating using digital communications protocols over a secure local area network. Today, SASs can support multiple protection, monitoring, and control applications over the same network, allowing real time decision making by various devices and fast reactions to ever changing power system states, within a few milliseconds. Additionally, large amounts of data exchanged by devices in an SAS enable smart decision making by stakeholders and improve overall system performance and efficiency. To ensure reliable operation of SASs, a highly secure and resilient communications network backbone is a must. Traditional Ethernet technology was not designed to meet the performance and reliability requirements that are essential for SASs. Moreover, an electric power system is an attractive target for cyber attacks, so modern operational technology (OT) Ethernet networks must be designed with security in mind to protect against cyber threats. In this paper, we discuss an application of software defined networking (SDN) to meet stringent network performance and cybersecurity requirements. We compare this application to traditional spanning tree based networks to show SDN's ability to meet and exceed those requirements.
Restoring America's Lagging Investment in Capital Goods
Year: 2013

THE INFORMATION TECHNOLOGY INNOVATION FOUNDATION OCTOBER 2013 Investment in new equipment and software is the primary means through which innovation the key driver of economic growth diffuses throughout the economy. Without new capital investment refreshing a nation's capital stock, innovation loses its power, productivity growth stagnates, and national economic competitiveness declines. It is troubling, then, that over the past decade, business investment rates in the United States have stagnated. Between 1980 and 1989, business investment in equipment, software and structures grew by 2.7 percent per year on average and 5.2 percent per year between 1990 and 1999. But between 2000 and 2011 it grew by just 0.5 percent per year less than a fifth of that of the 1980s and less than one tenth that of the 1990s. Moreover, as a share of GDP, business investment has declined by more than three percentage points since 1980.
Isolation and Characterization of Conotoxin Protein from Conus inscriptus and Its Potential Anticancer Activity Against Cervical Cancer (HeLa HPV 16 Associated) Cell Lines
Venue: International Journal of Peptide Research and Therapeutics
Year: 2019

Marine snails are abundant sources of biologically important conopeptides with their potential applications in drug development. The present study aimed to identify the potential conopeptides from the venom duct of Conus inscriptus. After extraction conopeptides were characterized by liquid chromatography mass spectrometric analysis showing totally 29 protein sequences with disulfide linkages of different molecular mass distributed in the range of 387 1536 m/z and the peptides showing mostly to T superfamily of conotoxins with 78 kDa heat shock proteins. The venom peptides showed six different molecular weight bands (37, 51, 60, 70, 80 and 90 kDa) above 30 kDa after in gel enzymatic digestion. Furthermore, the conopeptides exhibit potential cytotoxic activity against HeLa HPV 16 associated, Vero (normal) cell lines and brine shrimp. Fourier transform infra red spectroscopy analysis confirms the structural and functional groups. The observed results suggests the venom peptides from C. inscriptus as a potential anticancer agent.
Seismic response of RC frames under far field mainshock and near fault aftershock sequences
Year: 2019

Engineered structures built in seismic prone areas are affected by aftershocks in addition to mainshocks. Although aftershocks generally are lower in magnitude than that of the mainshocks, some aftershocks may have higher intensities; thus, structures should be able to withstand the effect of strong aftershocks as well. This seismic scenario arises for far field mainshock along with near field aftershocks. In this study, four 2D reinforced concrete (RC) frames with different numbers of stories were designed in accordance with the current Iranian seismic design code. As a way to evaluate the seismic response of the case study RC frames, the inter story drift ratio (IDR) demand, the residual inter story drift ratio (RIDR) demand, the Park Ang damage index, and the period elongation ratio can be useful engineering demand parameters for evaluating their seismic performance under mainshock aftershock sequences. The frame models were analyzed under a set of far field mainshock, near fault aftershocks seismic sequences using nonlinear dynamic time history analysis to investigate the relationship among IDR, RIDR, Park Ang damage index and period ratio experienced by the frames. The results indicate that the growth of IDR, RIDR, Park Ang damage index, and period ratio in high rise and short structures under near fault aftershocks were significant. It is evident that engineers should consider the effects of near fault aftershocks on damaged frames that experience far field mainshocks as well.
Concomitant valve procedures in patients undergoing continuous flow left ventricular assist device implantation: A single center experience.
Venue: The Journal of thoracic and cardiovascular surgery
Year: 2019

Long term support with continuous flow left ventricular assist devices (CF LVADs) has improved the outcomes of patients with end stage heart failure. However, valve disease management in patients who undergo CF LVAD implantation remains controversial. The aim of this study was to assess our single center experience with patients who underwent a concomitant valve procedure during implantation of a CF LVAD.  From November 2003 through March 2016, 526 patients underwent primary CF LVAD implantation with a HeartMate II (St Jude Inc, St Paul, Minn; n 403) or HeartWare (Medtronic, Minneapolis, Minn; n 123) device at our center. Of those, 91 underwent a concomitant valve procedure during implantation (CF LVAD+valve procedure group) whereas 435 did not (CF LVAD only group) We compared preoperative characteristics and short term and mid term survival rates between these groups.  The concomitant valve procedures performed included 13 tricuspid valve repairs, 19 aortic valve repairs or replacements, 30 mitral valve repairs or replacements, and 29 double valve repairs or replacements. Survival rates at 1 month, 6 months, 12 months, and 24 months were 90.3% 81.4% 74.9% and 67.4% respectively, for the CF LVAD only group and 89.0% 75.8% 70.3% and 65.9% respectively, for the CF LVAD+valve procedure group (P .55) The results of Cox regression multivariable modeling showed that performing a concomitant valve procedure was not an independent predictor of mortality (hazard ratio, 1.29; 95% confidence interval, 0.96 1.74; P .08)  In our experience, performing a concomitant valve procedure during CF LVAD implantation was not associated with an increased mortality rate. The decision to perform a concomitant valve procedure should be made primarily on the basis of clinical indications for the procedure.
Demand Side Residential Load Management System for Minimizing Energy Consumption Cost and Reducing Peak Demand in Smart Grid
Venue: 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT)
Year: 2020

The need for higher energy efficiency and demand response program reshape existing electrical networks which results in the smart power systems grid. Modern electrical networks are also becoming more careful than ever to keep the greenhouse gas emission under acceptable limits. Demand side residential load scheduling promotes smart grid consumers to change their electricity consumption responding to electricity price variations. In this paper, a system has been designed for efficient demand side management in the smart grid. This research mainly focuses on optimal load scheduling for minimizing energy costs and reducing peak loads. The demand response technique uses specifically to perform load scheduling optimization to minimize the total cost of power consumption of residential household loads while maintaining the expected satisfaction. A detailed load scheduling model has been developed for enabling the Home energy management system (HEMS) to compute optimized power consumption while incorporating customers' satisfaction and dynamic price variation. The results showed the proposed dynamic pricing based HEMS significantly reduces 38.80% of peak loads and minimizing 22.55% of total energy costs for customers.
Dissonance Reduction Strategies in Ride Sharing Apps A Case of Uber
Year: 2020

Ride sharing apps have both positive and negative impact in our daily lives. To study the negative impacts especially personal safety issues, this study explores the reaction of ride sharing app users to such safety issues. We contextualize our study using a scenario based survey. We found empirical support to all the hypotheses by surveying 421 individuals. This study contributes to the information systems literature in providing ways to apply dissonance reduction techniques that are a strong predictor of satisfaction. In addition, this study also addresses the safety issues faced by riders using ride sharing apps and how cocreation would help address these issues.
Effect of Electric Field on the Hydrodynamics of Nanoparticles in a Rectangular Fluidized Bed
Year: 2006

Nanoparticles have unique flow properties that make them useful for numerous applications. Several publications [Zhu et al. (2005) Jung Gidaspow (2002) Huang et al. (2006) have recently demonstrated that silica nanoparticles can be fluidized without the formation of bubbles. This property eliminates the major disadvantage of fluidized beds, formation of large bubbles that cause gas bypassing and hence poor reaction. The effect of electric field on 10 nm silica particles was studied in a specially designed rectangular fluidized bed having an internal cross section of 4.5 in. x 5.5 in. with electrodes attached to two parallel walls. Experiments were conducted using various combinations of superficial gas velocities and electric field strengths. The bed height decreased drastically on the application of electric field. The decrease was almost linear at 0.70 kV/cm. It was non linear and larger at 1.05 kV/cm and 1.40 kV/cm. These observations were reverse of those obtained earlier [Wittmann Ademoyega (1987) with 177210 micrometer silica gel particles. The average size of the agglomerates was calculated at various electric fields, using the Richardson Zaki equation. The size increased from 204 mm to 396 mm when the electric field was increased from 0 kV/cm to 1.40 kV/cm. Particle density profiles were also determined as a function of solids volume fraction and bed height at different electric fields. These data allowed the computation of granular temperatures using a one dimensional particle momentum balance with the ideal equation of state [Driscoll Gidaspow (2006) This balance is similar to a barometric formula for gases. The granular temperature decreased with the increase in electric field.
On Low Resolution Face Recognition in the Wild: Comparisons and New Techniques
Venue: IEEE Transactions on Information Forensics and Security
Year: 2019

Although face recognition systems have achieved impressive performance in recent years, the low resolution face recognition task remains challenging, especially when the low resolution faces are captured under non ideal conditions, which is widely prevalent in surveillance based applications. Faces captured in such conditions are often contaminated by blur, non uniform lighting, and non frontal face pose. In this paper, we analyze the face recognition techniques using data captured under low quality conditions in the wild. We provide a comprehensive analysis of the experimental results for two of the most important applications in real surveillance applications, and demonstrate practical approaches to handle both cases that show promising performance. The following three contributions are made: (i) we conduct experiments to evaluate super resolution methods for low resolution face recognition; (ii) we study face re identification on various public face datasets, including real surveillance and low resolution subsets of large scale datasets, presenting a baseline result for several deep learning based approaches, and improve them by introducing a generative adversarial network pre training approach and fully convolutional architecture; and (iii) we explore the low resolution face identification by employing a state of the art supervised discriminative learning approach. The evaluations are conducted on challenging portions of the SCface and UCCSface datasets.
Decolonize or else negotiating decolonization through popular theatre
Year: 2018

This study explored the role of audience in African performance to discover the relationship between the popular theatre artist and his audience and how that relationship can be exploited in the process of decolonizing and re Africanizing the theatre, to arrive at dramatic performances that are closer home to African cultural needs. The study took the continued call for decolonization as a point of departure to determine the difficulty a literary artist faces in realizing this goal, as well as to call attention to the potential of participative audience in realizing that goal. The power of the audience to influence and impact the performance is often taken for granted and glossed over in theatre discourses, but it is given a focus in this work because of the perceived vital role audience can play in decolonizing African theatre. Two performances Ejilarin by Ayokola Arishekola and The Trumpet Parable by Chimalum Nwankwo are used in this study to critically evaluate the status of the theatre audience. While the two plays studied here provide a glimpse into both popular audience and elite drama audience, the focus is on the former. Data for this study were based largely on participation and oral interview.  Active Audience; participation; Performer/Audience relationship; decolonization; popular theatre