nils-herrmann/clean_scirepeval huggingface dataset:
UWB coplanar waveguide fed coplanar strips spiral antenna
Venue: 2016 10th European Conference on Antennas and Propagation (EuCAP)

This paper presents an ultra wideband coplanar waveguide fed coplanar strips square spiral antenna that operates in the frequency band 4 10 GHz. This antenna is easy to design and yields at least a 50% reduction in size as compared with other available UWB spiral antennas. A matching resistor is placed at the end of the spiral to yield better than 10 dB return loss over the operating frequency band. The antenna yields circular polarization at boresight in the frequency range 6.6 7 GHz. This frequency range will be optimized in the final design and factors that affect it will be determined.
Impact of Ground via Placement in Grounded Coplanar Waveguide Interconnects
Venue: IEEE Transactions on Components, Packaging and Manufacturing Technology

Methods for higher order parallel plate mode suppression in grounded coplanar waveguides (GCPW) using unique ground via structures are presented in this paper. Suppression of these higher order modes can increase GCPW bandwidth. The ground via fence parameters that affect the bandwidth of the GCPWs are also discussed. Two new structures using staggered ground via fences and with defected side ground planes, for improving GCPW performances while meeting fabrication and routing requirements, are discussed. These two methods improve the interconnect bandwidth by 62.2% and 27.8% respectively. The measured and simulated results of a test GCPW structure are in close agreement.
Combined Wave and Current Bottom Boundary Layers: A Review

This Coastal and Hydraulics Engineering Special Report (SR) presents a general review of research in combined wave and current bottom boundary layers including laboratory, field and model studies. The purpose of this SR is to chronicle the state of the art in boundary layer research in order to identify research gaps and obtain guidance for developing and improving the next generation of combined wave and current bottom boundary layer models. One of the key research focus areas identified in this report is fine grained sediment transport processes in combined wave and current flows. Critical research gaps exist in the following areas: (1) the role of oblique waves and currents on bottom stress and flow kinematics, (2) the effect of wave asymmetry in combined flows and how this drives mass transport, (3) the process of wave transition in shallow water in the presence of strong alongshore currents, (4) the interaction between oblique waves and currents over a sediment bottom, and (5) the validity and performance limitations of existing bottom boundary layer models under the above conditions. Progress towards understanding these research questions hinges on experimental programs to measure sediment, waves, morphology, and currents under a range of forcing conditions.
A multi dimensional two phase flow modeling framework for sediment transport applications

Studying coastal processes is essential for the sustainability of human habitat and vibrancy of coastal economy. Coastal morphological evolution is caused by a wide range of coupled cross shore and alongshore sediment transport processes associated with short waves, infra gravity waves, and wave induced currents. One of the key challenges was that the major transport occurs within bottom boundary layers and it is dictated by turbulence sediment interactions and inter granular interactions. Therefore, this study focuses on numerical investigations of sediment transport in the bottom wave boundary layers on continental shelves and nearshore zones, with emphasis on both fine sediment (mud) and sand transports. On the continental shelves, the sea floor is often covered with fine sediments (with settling velocity no more than a few mm/s) Wave induced resuspension has been identified as one of the major mechanisms in the offshore delivery for fine sediments. A series of turbulence resolving simulations were carried out to study the role of sediment resuspension/deposition on the bottom sediment transport. Specifically, we focus on how the critical shear stress of erosion and the settling velocity can determine the transport modes. At a given wave intensity associated with more energetic muddy shelves, three transport modes, namely the well mixed transport (mode I) two layer like transport with the formation of lutocline (mode II) and laminarized transport (mode III) are obtained by varying the critical shear stress of erosion or the settling velocity. A 2D parametric map is proposed to characterize the transition between transport modes as a function of the critical shear stress and the settling velocity at a fixed wave intensity. In addition, the uncertainties due to hindered settling and particle inertia effects on the transport modes were further studied. Simulation results confirmed that the effect of particle inertia is negligible for fine sediment in typical
Migration tracing and kinematic state concept embedded in discrete fracture network for modeling hydrocarbon migration around unlined rock caverns
Venue: Comput. Geosci.

This paper presents a numerical method for the modeling of hydraulic confinement and hydrocarbon migration around the unlined rock caverns (URCs) by directly applying distinct fracture network (DFN) concept. A "migration tracing" algorithm for the assessment of hydrocarbon migration around URCs was developed based on the applying migration cessation criterion and pathway analysis in the DFN realizations. The veracity of the developed numerical method was explored by predicting the hydrocarbon migration in a uniform fracture network around an unlined cavern that consists with results obtained from the finite element continuum fluid flow analysis. Finally, the applicability of the proposed method was evaluated by simulation of hydrocarbon migration in the DFN realizations around a URC. The results demonstrate that the hydrocarbon migration is sensitive to the hydraulic boundary conditions, and the geometrical properties of fractures. Establishing sufficient water pressure in the fracture system controls hydrocarbon migration; however, the effect of external water pressure on the hydrocarbon migration is controlled by the fractures geometry. Consequently, local migration paths may develop around storage caverns through the intricately connected fracture network, despite the presence of high pressurized water curtain. The proposed method may prove useful for better design analysis of hydraulic confinement around URCs, or inclusions in simulators for computational demands. A numerical method was developed for Hydrocarbon migration around URCs.The concept of DFN was directly applied for hydrocarbon migration analysis.Migration analysis is based on the tracing algorithm and pathway analysis in DFN.The role of hydraulic confinement on the hydrocarbon migration was investigated.The suggested method can be incorporated in simulators for computational demands.
Visualizing and Comparing AlexNet and VGG using Deconvolutional Layers

Convolutional Neural Networks (CNNs) have been keeping improving the performance on ImageNet classification since it is firstly successfully applied in the task in 2012. To achieve better performance, the complexity of CNNs is continually increasing with deeper and bigger architectures. Though CNNs achieved promising external classification behavior, understanding of their internal work mechanism is still limited. In this work, we attempt to understand the internal work mechanism of CNNs by probing the internal representations in two comprehensive aspects, i.e. visualizing patches in the representation spaces constructed by different layers, and visualizing visual information kept in each layer. We further compare CNNs with different depths and show the advantages brought by deeper architecture.
Placing Images with Refined Language Models and Similarity Search with PCA reduced VGG Features
Venue: MediaEval

We describe the participation of the CERTH/CEA LIST team in the MediaEval 2016 Placing Task. We submitted five runs to the estimation based sub task: one based only on text by employing a Language Model based approach with several refinements, one based on visual content, using geospatial clustering over the most visually similar images, and three based on a hybrid scheme exploiting both visual and textual cues from the multimedia items, trained on datasets of different size and origin. The best results were obtained by a hybrid approach trained with external training data and using two publicly available gazetteers.
Automated Mouse Behavior Recognition using VGG Features and LSTM Networks

We present a mouse behavior classification method using a recurrent neural network with the long short term memory (LSTM) model. The experimental hardware used to collect the data is a custom mouse cage with four stereo camera pairs in each wall. Using as input the different videos, our computational method employs a so called end to end learning approach: visual features from pre trained convolutional neural networks are extracted from each image frame, and used to train a customized LSTM based model in weakly supervised fashion, to recognize different behaviors of the mouse in the videos. Future extensions of the system will incorporate 3D feature information from the stereo cameras and online classification functionality.
Exploring How Haptics Contributes to Immersion in Virtual Reality

Virtual Reality (VR) has been around for more than fifty years but the technology hasn't reached practical usability until very recently. With the current head mounted display (HMD) technology and an abundance of investment in VR startups, we have finally reached at the point where it is possible to simulate complex virtual environments that feel immersive. A major problem with virtual reality is that everything looks real but you can not touch and feel virtual objects. We are focusing on developing a device that will allow users to feel what they touch in VR. We developed a hand held interface and an android app as a test environment. Commerciallyavailable solutions such as the leap motion developer's kit were used to track the position of a user's hand. The actual touch sensation was delivered by a broad band actuator. Informal testing suggests that being able to feel a virtual object, such as a virtual football, in the hands can enhance user immersion, enjoyment and performance in VR. Future work will improve hand tracking accuracy and range of touch sensations for a more realistic user experience.
Minimalism in designing user interface of commercial websites based on Gestalt visual perception laws (Case study of three top brands in technology scope)
Venue: 2016 Second International Conference on Web Research (ICWR)

With completion of web worldwide network, its users and applications have been increased too. Nowadays, one of these applications is advertising, purchase and sale of business products that has changed the websites into a complementary media and an extensive and universal context for branding and doing commercial deals. During the recent decade, minimalism has found great applications in designing user interface of business websites among web designers. They understood that minimalism with removing unnecessary aspects and Gestalt together with organizing visual elements lead to the reduction of audiences' confusion and a more extensive range of them can make a more effective interaction to website. The research methodology of this study is descriptive analytic and the method of gathering information library and field. This research has been investigated the minimalist design model in three top active websites in technology including Apple, Microsoft and IBM based on the Gestalt principles. This study indicates a meaningful relation between Gestalt rules and simplification of relations among visual elements in the event of achieving minimalist properties in designing these websites. The mentioned properties are: the key principle of less use, more effect through organized Gestalt perception, simplicity based on the law of similarity and proximity, removing additive elements through permanence law, making balance by using completion law and making a negative environment by informed use of Gestalt rule of shape relation.
Dynamic Gene Regulatory Networks Drive Hematopoietic Specification and Differentiation
Venue: Developmental cell

Metazoan development involves the successive activation and silencing of specific gene expression programs and is driven by tissue specific transcription factors programming the chromatin landscape. To understand how this process executes an entire developmental pathway, we generated global gene expression, chromatin accessibility, histone modification, and transcription factor binding data from purified embryonic stem cell derived cells representing six sequential stages of hematopoietic specification and differentiation. Our data reveal the nature of regulatory elements driving differential gene expression and inform how transcription factor binding impacts on promoter activity. We present a dynamic core regulatory network model for hematopoietic specification and demonstrate its utility for the design of reprogramming experiments. Functional studies motivated by our genome wide data uncovered a stage specific role for TEAD/YAP factors in mammalian hematopoietic specification. Our study presents a powerful resource for studying hematopoiesis and demonstrates how such data advance our understanding of mammalian development.
Expert QSAR system for predicting the bioconcentration factor under the REACH regulation.
Venue: Environmental research

Expert systems are a rational integration of several models that generally aim to exploit their advantages and overcome their drawbacks. This work is founded on our previously published Quantitative Structure Activity Relationship (QSAR) classification scheme, which detects compounds whose Bioconcentration Factor (BCF) is (1) well predicted by the octanol water partition coefficient (KOW) (2) underestimated by KOW or (3) overestimated by KOW. The classification scheme served as the starting point to identify and combine the best BCF model for each class among three VEGA models and one KOW based equation. The rationalized model integration showed stability and surprising performance on unknown data when compared with benchmark BCF models. Model simplicity, transparency and mechanistic interpretation were fostered in order to allow for its application and acceptance within the REACH framework.
CULTURAL IDENTIFICATION: THE PROBLEM OF ART STUDIES

A collective monograph reflects current issues of art studies in the area of cinema, theater, choreography, visual arts musical and performing arts, pedagogics and the issues of phonic system of the Kazakh traditional music as part of the cultural identity.In the chapter "Theater" scientists examine professional problems of theater criticism, directing, scenography, musical theater and elocution, acting, calisthenics and dance. Art critics highlighted the factors that cause interest in the ethnic history and traditional festivals like "Nauryz".Currently, the analyzed issues are related to the growth of self consciousness of the nation that aspires to define its cultural identity in the modern cultural community. In their studies the Hungarian scientists are appealing to the study of foreign languages as a key communication competence.The features of architectural schools, composition and aesthetic principles, the semantics of the structure of space are also central to the art of Hungary. The monograph is planned to be continued in the next volume of joint scientific publications.
Factors Affecting Customer Loyalty in Banking Sector of Punjab, Pakistan

This study measures the determinants of customer loyalty in the banking sector by analyzing variables such as customer satisfaction, brand trust, perceived price and service quality. Being a descriptive study, survey method is adopted for data collection. For data collection purpose, a questionnaire on the 5 point Likert scale was adopted and distributed among customers of banks. Reliability of instrument is determined by using Cronbach's Alpha. Correlation and regression techniques are used. The findings of the research reveal that perceived value, service quality, customer satisfaction, and brand trust significantly influence customer loyalty.
Customer Segmentation by Factors Influencing Brand Loyalty and Customer Involvement

Brand loyalty and customer involvement are two important concepts that help explain and understand a significant part of consumer shopping behavior. The aim of the present work is to identify factors influencing brand loyalty and customer involvement. A further aim is to consider subsequent segmentation of customers with respect to different degrees of brand loyalty and customer involvement. The research was focused on the field of Czech telecommunication services mobile operators. Primary data were acquired through the method of questionnaire survey. In total, the questionnaire was completed by 340 respondents, of which 319 respondents owned their mobile phones for private purposes only. For more accurate interpretation of the identified factors the Exploratory Factor Analysis method was used. Four factors of brand loyalty were extracted, which account for 75 of the variability of the original parameters: (1) Cognitive affective loyalty, (2) Trustworthiness, (3) Attitudinal loyalty and (4) Commitment and three factors of customer involvement were found to account for 71 variability of the original parameters: (1) Social involvement, (2) Centrality, (3) Importance. High loyalty customers mostly have only one SIM card and 73 of them use a tariff. In a further group of highly involved customers own from 80 only one SIM card. This study forms part of a research programme investigating the influence of customer involvement on brand loyalty.
Analysis of antibiotic residues in milk from smallholder farms in Kenya

The aim of this study was to determine the occurrence of antibiotic residues in Kenyan smallholder farm milk using screening tests, and to identify the antibiotic residue group. A total of 480 milk samples were analyzed. All samples were analyzed with the Delvotest(r) screening test. A Hundred and fourteen (24% samples were positive, 71 (15% unclear and 295 (61% negative. Sixty two samples were further tested with the group specific Trisensor test. Twenty four percent (15/62) were positive. This indicated that by estimation, 9% of all the 480 samples have been positive with the Trisensor test and 5% would have contained beta lactams, 2.5 sulfonamides and 0.6 tetracyclines. Samples with a positive Trisensor test results were further analyzed with HPLC but no antibiotics could be identified. Seventy six percent of the Delvotest(r) positive samples were negative in Trisensor test. Microbiological inhibitor methods are demanding for the sample conditions and were found not to be best suited to the conditions encountered in smallholder farms in Kenya. The results indicate that antibiotic residues are found in milk produced on small scale farms in Kenya and suggest that training is needed on the use of veterinary drugs.
A miniature shoe mounted orientation determination system for accurate indoor heading and trajectory tracking.
Venue: The Review of scientific instruments

Tracking the position of pedestrian is urgently demanded when the most commonly used GPS (Global Position System) is unavailable. Benefited from the small size, low power consumption, and relatively high reliability, micro electro mechanical system sensors are well suited for GPS denied indoor pedestrian heading estimation. In this paper, a real time miniature orientation determination system (MODS) was developed for indoor heading and trajectory tracking based on a novel dual linear Kalman filter. The proposed filter precludes the impact of geomagnetic distortions on pitch and roll that the heading is subjected to. A robust calibration approach was designed to improve the accuracy of sensors measurements based on a unified sensor model. Online tests were performed on the MODS with an improved turntable. The results demonstrate that the average RMSE (root mean square error) of heading estimation is less than 1deg. Indoor heading experiments were carried out with the MODS mounted on the shoe of pedestrian. Besides, we integrated the existing MODS into an indoor pedestrian dead reckoning application as an example of its utility in realistic actions. A human attitude based walking model was developed to calculate the walking distance. Test results indicate that mean percentage error of indoor trajectory tracking achieves 2% of the total walking distance. This paper provides a feasible alternative for accurate indoor heading and trajectory tracking.
Child Welfare and the Transition to Adulthood: Investigating Placement Status and Subsequent Arrests
Venue: Journal of youth and adolescence

Studies of the transition to adulthood in child welfare focus almost exclusively on youth in foster care. Yet, research indicates that maltreated children who remain in the home may display similar risks as compared with their peers in formal foster care settings. Utilizing administrative data from child welfare, juvenile justice and adult corrections, the current study fills a gap in the literature by analyzing justice outcomes for older adolescents involved with the child welfare system regardless of their placement status. We focus on both intact family cases and formal foster care placements. The diverse sample (11 Hispanic, 8 African American, 6 Native American, 9 multi racial, 56 female) included open child welfare cases involving 17 year olds (n 9874) Twenty nine percent of adolescents were associated with a long term out of home placement and 62 were associated with an intact family case. Event history models were developed to estimate the risk of subsequent offending. Adolescents associated with long term foster care placement were significantly less likely to experience a subsequent arrest as compared with adolescents associated with a long term intact family case. Males, African Americans and adolescents associated with neglect were also more likely to experience a subsequent arrest. Limited focus on the intact family population in child welfare represents a lost opportunity to support critical developmental gains and facilitate a smooth transition to adulthood.