nils-herrmann/clean_scirepeval huggingface dataset:
Virtual memory palaces: immersion aids recall
Venue: Virtual Reality
Year: 2018

Virtual reality displays, such as head mounted displays (HMD) afford us a superior spatial awareness by leveraging our vestibular and proprioceptive senses, as compared to traditional desktop displays. Since classical times, people have used memory palaces as a spatial mnemonic to help remember information by organizing it spatially and associating it with salient features in that environment. In this paper, we explore whether using virtual memory palaces in a head mounted display with head tracking (HMD condition) would allow a user to better recall information than when using a traditional desktop display with a mouse based interaction (desktop condition) We found that virtual memory palaces in HMD condition provide a superior memory recall ability compared to the desktop condition. We believe this is a first step in using virtual environments for creating more memorable experiences that enhance productivity through better recall of large amounts of information organized using the idea of virtual memory palaces.
Signal to Noise Ratio Considerations for Secure Antenna Polarization Modulation
Venue: 2020 14th European Conference on Antennas and Propagation (EuCAP)
Year: 2020

We investigate the impact of additive white Gaussian noise on the performance of secure antenna polarization modulation (SAPM) a technique for wireless physical layer security. The secrecy rate, calculated from the mutual information of intended versus eavesdropper channels, serves as a metric for evaluation. With increasing signal to noise ratio (SNR) system designers can also choose to increase spectral efficiency by using a higher order of modulation. This significantly improves the level of security provided by SAPM by narrowing the range of spatial angles for which information may be received. We use simulation data to calculate the mutual information and symbol error probability over varying SNR levels to illustrate these effects.
Queen regulates biogenic amine level and nestmate recognition in workers of the fire ant, Solenopsis invicta
Venue: Naturwissenschaften
Year: 2008

Nestmate recognition is a critical element in social insect organization, providing a means to maintain territoriality and close the colony to parasites and predators. Ants detect the colony chemical label via their antennae and respond to the label mismatch of an intruder with aggressive behavior. In the fire ant, Solenopsis invicta, worker ability to recognize conspecific nonnestmates decreases if the colony queen is removed, such that they do not recognize conspecific nonnestmates as different. Here, we tested the hypothesis that the presence of the colony queen influences the concentration of octopamine, a neuromodulator, in worker ants, which in turn has an effect on nestmate recognition acuity in workers. We demonstrate that queenless workers exhibit reduced brain octopamine levels and reduced discriminatory acuteness; however, feeding queenless workers octopamine restored both. Dopamine levels are influenced by honeybee queen pheromones; however, levels of this biogenic amine were unchanged in our experiments. This is the first demonstration of a link between the presence of the colony queen, a worker biogenic amine, and conspecific nestmate recognition, a powerful expression of colony cohesion and territoriality.
Global Abnormal Event Detection Based on Compact Coefficient Low Rank Dictionary Learning
Venue: 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR)
Year: 2017

In this paper, an approach to detect global abnormal events is presented, which is based on a compact coefficient low rank dictionary learning (CCLRDL) algorithm. Similar with sparse representation, the aim of the approach is to achieve the reconstruction coefficients over the normal bases. First of all, the histogram of maximal optical flow projection (HMOFP) is extracted from a set of normal training frames to describe the movements of the crowd. Secondly, after a process of selecting the training samples, the inexact augmented Lagrange multiplier (ALM) algorithm is utilized to obtain a low rank dictionary. And then, by using the ALM algorithm the reconstruction coefficients of testing samples are acquired. Finally, reconstruction cost (RC) is introduced to detect whether a frame is normal or not. The experiment results on the well known UMN dataset and the comparisons to the most popular methods show our algorithm is promising.
Acid Base Interactions of Polystyrene Sulfonic Acid in Amorphous Solid Dispersions Using a Combined UV/FTIR/XPS/ssNMR Study.
Venue: Molecular pharmaceutics
Year: 2016

This study investigates the potential drug excipient interactions of polystyrene sulfonic acid (PSSA) and two weakly basic anticancer drugs, lapatinib (LB) and gefitinib (GB) in amorphous solid dispersions. Based on the strong acidity of the sulfonic acid functional group, PSSA was hypothesized to exhibit specific intermolecular acid base interactions with both model basic drugs. Ultraviolet (UV) spectroscopy identified red shifts, which correlated well with the color change observed in lapatinib PSSA solutions. Fourier transform infrared (FTIR) spectra suggest the protonation of the quinazoline nitrogen atom in both model compounds, which agrees well with data from the crystalline ditosylate salt of lapatinib. X ray photoelectron spectroscopy (XPS) detected increases in binding energy of the basic nitrogen atoms in both lapatinib and gefitinib, strongly indicating protonation of these nitrogen atoms. (15)N solid state NMR spectroscopy provided direct spectroscopic evidence for protonation of the quinazoline nitrogen atoms in both LB and GB, as well as the secondary amine nitrogen atom in LB and the tertiary amine nitrogen atom in GB. The observed chemical shifts in the LB PSSA (15)N spectrum also agree very well with the lapatinib ditosylate salt where proton transfer is known. Additionally, the dissolution and physical stability behaviors of both amorphous solid dispersions were examined. PSSA was found to significantly improve the dissolution of LB and GB and effectively inhibit the crystallization of LB and GB under accelerated storage conditions due to the beneficial strong intermolecular acid base interaction between the sulfonic acid groups and basic nitrogen centers.
Gaining or Losing Team Ball Possession: The Dynamics of Momentum Perception and Strategic Choice in Football Coaches
Venue: Front. Psychol.
Year: 2019

Grounded in the dynamical systems approach, the present research examined the influence of team ball possession (TBP) in soccer on coaches' perceived psychological momentum (PM) and strategic choice (i.e. game based "stick" vs. "switch" choices) during a simulated match. Experienced soccer coaches imagined being the coach of the team involved in a highly important match that was displayed on a wall in a lecture hall. The match scenario was manipulated so that the coach was exposed to either a positive momentum sequence (i.e. ascending scenario of TBP) or a negative momentum sequence (i.e. descending scenario of TBP) Results revealed that positive (or negative) momentum sequence increased (or decreased) perceived PM and increased stick (or switch) choices. Perceived PM globally evolved linearly, while strategic choice displayed a dynamical pattern of "critical boundary" (thus showing a nonlinear change) Nonetheless, both variables displayed asymmetrical effects, in the sense that: (1) the strength of positive PM appeared to be easier to decrease than to increase; and (2) the greater the positive PM (or the negative PM) the lesser (or the greater) the coaches' tendency to make a change in the organization of their teams. This investigation evidences that TBP can powerfully influence coaches' perceptions and strategic decisions, and that coaches are more likely to be sensitive to negative events than to equivalent positive events.
Memory as Tool for Identity Formation in Sunetra Gupta's Memories of Rain
Year: 2019

Sunetra Gupta, renowned Indo British novelist and essayist, is winner of Sahitya Akademi Award for Indian Literature in English, 1997 and Southern Arts Literature Award, 2000. She has authored five novels including The Glassblower's Breath (1993) Moonlight into Marzipan (1995) A Sin of Colour (1999) and So Good in Black (2009) the last of which was long listed for the DSC Prize for South Asian Literature in 2012. her debut novel Memories of Rain (1992) tells the tale of a cross cultural marriage of an Indian girl and an Englishman and the subsequent clash of cultures leading to infidelity, through a series of poignantly evocative memories. This paper will examine Gupta's Memories of Rain to study how memory restores the reality of the immigrant protagonist Moni's past life in Calcutta in its entirety and modifies her notions of belonging and self.
SNF CVAE: Computational method to predict drug disease interactions using similarity network fusion and collective variational autoencoder
Venue: Knowl. Based Syst.
Year: 2021

Drug repositioning is an emerging approach to identify novel therapeutic potentials for approved drugs and discover therapies for previously untreatable diseases. Drug repositioning has also attracted considerable attention in the pharmaceutical industry due to its time and cost efficiency in the drug development process compared to the traditional de novo drug discovery process. Recent advances in genomics, the tremendous growth of large scale publicly available data, the availability of high performance computing capabilities, along with the rise of machine learning, have further motivated the development of computational drug repositioning approaches. Investigating the relationship between different biomedical entities (e.g. drugs, diseases, genes) is one vital part of most recent studies in the drug repositioning field. Drug disease interaction (R DI) prediction is another main issue in drug repositioning research. Combining these relationships and interactions when introducing computational methods to identify novel drug disease interactions with high accuracy is very challenging. In this study, we propose a robust approach, SNF CVAE, for predicting novel drug disease interactions using drug related similarity information and known drug disease interactions. SNF CVAE integrates similarity measures, similarity selection, similarity network fusion (SNF) and collective variational autoencoder (CVAE) to conduct a non linear analysis and improve the drug disease interaction prediction accuracy. We evaluated the robustness of SNF CVAE using different information models, drug similarity calculation measures, and drug similarity information. Moreover, we compared SNF CVAE performance with four state of the art machine learning models. SNF CVAE achieved outstanding performance in stratified 5 fold cross validation (Prec 0.902, Rec 0.883, F1 0.893, AUC ROC 0.958, and AUC PR=0.970) Furthermore, we showed the efficiency of SNF CVAE in predicting novel drug disease interactions by validating the top ranked interactions against pharmaceutical indications and clinical trial studies, which resulted in substantial pieces of evidence for almost all of RDIs predicted by our proposed model. To further demonstrate the reliability and robustness of SNF CVAE, we conducted two case studies on the top predicted drug candidates for potentially treating Alzheimer's disease and Juvenile rheumatoid arthritis, which were successfully validated against clinical trials and published studies. In conclusion, we strongly believe that computational drug repurposing research could significantly benefit from integrating similarity measures and deep learning models to predict novel drug disease interactions in heterogeneous networks.
Towards Using Mobile, Head Worn Displays in Cultural Heritage: User Requirements and a Research Agenda
Venue: IUI
Year: 2016

Augmented reality (AR) technology has the potential to enrich our daily lives in many aspects. One of them is the museum visit experience. Nowadays, state of the art mobile museum visitor guides provide us with rich personalized, context aware information. However, these systems have one major drawback they force the visitor to hold the guide and to look at its screen. The utilization of smart glasses technology allows providing a wearable AR display without the necessity to hold the guide and to look at it and without distracting the user from the real object. This paper describes initial steps towards the implementation of a head worn display (HWD) museum visitor guide the results of users' requirements elicitation process, the implementation of a first research prototype and initial insights gathered during the process.
A collecting duct carcinoma producing carcinoembryonic antigen and Ca 125 in a 29 year old woman
Venue: International Urology and Nephrology
Year: 2014

Collecting duct carcinoma is a rare renal malignant neoplasm, arising from the medullary collecting duct and accounting for less than 1 of renal cell carcinomas. It is more common in middle aged men and is usually presented with hematuria, abdominal mass and back or flank pain. Its immunohistochemical analysis detects the expression of various markers, such as low and high molecular weight keratins, Ulex europaeus agglutinin 1, epithelial membrane antigen and peanut lectin. Here, we present a case of a 29 year old woman with CDC presented with back pain and supraclavicular lymphadenopathy that produced carcinoembryonic antigen and CA 125.
Extending modified module analysis to include correct responses: Analysis of the Force Concept Inventory
Year: 2020

Brewe, Bruun, and Bearden first applied network analysis to understand patterns of incorrect conceptual physics reasoning in multiple choice instruments introducing the Module Analysis for Multiple Choice Responses (MAMCR) algorithm. Wells \it et al. proposed an extension to the algorithm which allowed the analysis of large datasets called Modified Module Analysis (MMA) This method analyzed the network structure of the correlation matrix of the responses to a multiple choice instrument. Both MAMCR and MMA could only be applied to networks of incorrect responses. In this study, an extension of MMA is explored which allows the analysis of networks involving both correct and incorrect responses. The extension analyzes the network structure of the partial correlation matrix instead of the correlation matrix. The new algorithm, called MMA P, was applied to the FCI and recovered much of the structure identified by MMA. The algorithm also identified sets of correct answers requiring similar physical reasoning reported in previous studies. Beyond groups of all correct and all incorrect responses, some groups of responses which mixed correct and incorrect responses were also identified. Some of these mixed response groups were produced when a correct response was selected for incorrect reasons; some of the groups helped to explain the gender unfairness previously reported for the FCI.
Analysis of the Effects on the Pitching, Rolling and Yawing Rate of a V tail Configured Quadcopter
Venue: 2019 26th International Workshop on Electric Drives: Improvement in Efficiency of Electric Drives (IWED)
Year: 2019

Many different projects have been focused on multirotor aircraft, especially on quadcopters, but there are only a few papers relating to the dynamic effects on quadcopters with tilted motors. In this paper, a quadcopter has been modelled to allow flight simulation under differing motor tilt angle configurations. The simulation has also been validated by building a quadcopter of known physical attributes and with on board instrumentation and telemetry to log its attitude and motor control inputs (PWM signals) The conversion from a PWM signal to the rpm was achieved by determining the relationship between the PWM signal and the thrust generated. Both of these parameters being recorded on a test bench. Thrust is calculated for each motor individually, since the angled motors generate different advance ratios and hence different thrust coefficients. The main focus of this research was on the effect of the different coefficients and the thrust components acting in the x y plane of the quadcopter body frame.
Intercultural Information Ethics
Year: 2018

The paper addresses theoretical and practical aspects of information ethics from an intercultural perspective. The first part deals with the paradigm shift within philosophy itself towards what is being called intercultural philosophy. This paradigm provides the framework for intercultural ethics. One main point of the ongoing discussion in the field of intercultural ethics is the question of universality. The second part of the paper deals with the quest for an intercultural information ethics. Some of the main points of the discussions on intercultural and ethical issues at the World Summit on the Information Society (WSIS) particularly the question of a human right to communicate as well as the question of cultural diversity, are presented. A brief report on the evolution of the concept of globalization is given. Some case studies and best practices on intercultural information ethics are outlined. Finally the classic opposition between culture (nomos) and nature (physis) is used in order to point to the limits of the intercultural and of the universalistic discourses.
Foodborne Origin and Local and Global Spread of Staphylococcus saprophyticus Causing Human Urinary Tract Infections
Venue: Emerging infectious diseases
Year: 2021

Staphylococcus saprophyticus is a primary cause of community acquired urinary tract infections (UTIs) in young women. S. saprophyticus colonizes humans and animals but basic features of its molecular epidemiology are undetermined. We conducted a phylogenomic analysis of 321 S. saprophyticus isolates collected from human UTIs worldwide during 1997 2017 and 232 isolates from human UTIs and the pig processing chain in a confined region during 2016 2017. We found epidemiologic and genomic evidence that the meat production chain is a major source of S. saprophyticus causing human UTIs; human microbiota is another possible origin. Pathogenic S. saprophyticus belonged to 2 lineages with distinctive genetic features that are globally and locally disseminated. Pangenome wide approaches identified a strong association between pathogenicity and antimicrobial resistance, phages, platelet binding proteins, and an increased recombination rate. Our study provides insight into the origin, transmission, and population structure of pathogenic S. saprophyticus and identifies putative new virulence factors.
Necesidades de la escuela oficial en temas de inclusion: una perspectiva desde la neuropsicologia escolar
Year: 2019

La elaboracion del presente articulo permite abordar tematicas como la discapacidad, la inclusion educativa y la neuropsicologia en la escuela oficial, a su vez ampliar perspectivas frente a las necesidades de la educacion oficial en Colombia. La finalidad es concluir y establecer, desde una reflexion teorica aportes de la neuropsicologia a traves de la aplicacion de estrategias que permitan a los equipos de trabajo de las instituciones educativas, hacer una aproximacion mas funcional a los procesos de ensenanza y aprendizaje que requieren las personas con discapacidad (PCD) permitiendo de este modo, comprender las necesidades de la poblacion y el rol de los distintos agentes que hacen parte del proceso en el exito del mismo, especialmente el papel que desempena el docente como fuente primaria de formacion directa en el aula.
Pulse Width Modulated DC DC Power Converters
Year: 2008

Preface. About the Author. List of Symbols. 1 Introduction.  2.2 DC Analysis of PWM Buck Converter for CCM. 2.3 DC Analysis of PWM Buck Converter for DCM. 2.4 Buck Converter with Input Filter. 2.5 Buck Converter with Synchronous Rectifier. 2.6 Buck Converter with Positive Common Rail. 2.7 Tapped Inductor Buck Converters. 2.8 Multiphase Buck Converter.  3.2 DC Analysis of PWM Boost Converter for CCM. 3.3 DC Analysis of PWM Boost Converter for DCM. 3.4 Bidirectional Buck and Boost Converters. 3.5 Tapped Inductor Boost Converters. 3.6 Duality. 3.7 Power Factor Correction.  4.2 DC Analysis of PWM Buck Boost Converter for CCM. 4.3 DC Analysis of PWM Buck Boost Converter for DCM.  7.2 DC Analysis of PWM Half Bridge Converter for CCM. 7.3 DC Analysis of PWM Half Bridge Converter for DCM.   8.2 DC Analysis of PWM Full Bridge Converter for CCM. 8.3 DC Analysis of PWM Full Bridge Converter for DCM.  Push Pull PWM DC DC Converter.  9.2 DC Analysis of PWM Push Pull Converter for CCM. 9.3 DC Analysis of PWM Push Pull Converter for DCM. 9.4 Comparison of PWM DC DC Converters. 9.5  9.6 References.  Small Signal Models of PWM Converters for CCM and DCM. 10.1 Introduction. 10.2 Assumptions. 10.3 Averaged Model of Ideal Switching Network for CCM. 10.4 Averaged Values of Switched Resistances. 10.5 Model Reduction. 10.6 Large Signal Averaged Model for CCM. 10.7 DC and Small Signal Circuit Linear Models of Switching Network for CCM. 10.8 Family of PWM Converter Models for CCM. 10.9 PWM Small Signal Switch Model for CCM. 10.10 Modeling of the Ideal Switching Network for DCM. 10.11 Averaged Parasitic Resistances for DCM. 10.12 Small Signal Models of PWM Converters for DCM. 10.13 Summary. 10.14 References. 10.15 Review Questions. 10.16 Problems. 11 Open Loop Small Signal Characteristics of Boost Converter for CCM. 11.1 Introduction. 11.2 DC Characteristics. 11.3 Open Loop Control to Output Transfer Function. 11.4 Delay in Open Loop Control to Output Transfer Function.
The YouTube Marketing Communication Effect on Cognitive, Affective and Behavioural Attitudes among Generation Z Consumers
Year: 2020

YouTube (YT) is the largest online video digital channel with more than 2 billion users, and over a billion hours of YT videos are viewed every day, particularly among young consumers. YT has become a massive marketing communication platform, which serves as a medium to target the lucrative Generation Z cohort (first born in the late 1990s) and influence this generation's infamously unpredictable purchase decision process. The main aim of this paper was to consider the effect of YouTube marketing communication (YMC) on the traditional and non traditional attitudinal associations of response hierarchy models. A multi stage sample technique was used and 3750 high school and college learners (aged 13 18 years old) were surveyed via self administered questionnaires in South Africa. Structural equation modelling was utilised to consider the hypothesised attitudinal associations. The research determined that YMC had a positive influence on the hypothesised attitudinal associations, and young consumers who used YT for fewer years, logged on more frequently, spent shorter time periods on the platform, viewed higher numbers of commercials, aged 13 14 years old, and from the White population group exhibited the most positive attitudinal responses. Hence, organisations should review their strategies in order to develop more sustainable YMC owing to the heterogeneity evident among young African consumers.