nils-herrmann/clean_scirepeval huggingface dataset:
Robotic Flight Simulator
Year: 2019

The system purposed is a Robotic Flight Simulator. The system further develops human robot interactions by utilizing vision processing and a collaborative robotic arm to interact with the user. This is one more step towards having robots respond to gestures, facial expressions, and human motion in real time. The vision system utilizes OpenCV written in python to handle the vision processing and communicates to a Kuka iiwa robot that manipulates the end effector around a person within arc. The end effector is a small control panel outfitted to look like a mini mockup of a control panel for user interaction. This is a static dynamic robot system where the robot has a specified route it will follow but it is based on human feedback through vision. In the future, using this progress, we will be able to further improve upon more dynamic robot systems that react with human feedback. Most robotic arm solutions involve static paths that do not change based off of human input. With the rise in collaborative tasks between humans and robots within the industry, it is imperative that the technology be developed to further develop these interactions. A possibility with this research is to create a robotic system that is able to care for the elderly or sick with simple tasks, such as lifting a table or reaching for items on the floor.
A Systematic Review of Wearable Patient Monitoring Systems Current Challenges and Opportunities for Clinical Adoption
Venue: Journal of Medical Systems
Year: 2017

The aim of this review is to investigate barriers and challenges of wearable patient monitoring (WPM) solutions adopted by clinicians in acute, as well as in community, care settings. Currently, healthcare providers are coping with ever growing healthcare challenges including an ageing population, chronic diseases, the cost of hospitalization, and the risk of medical errors. WPM systems are a potential solution for addressing some of these challenges by enabling advanced sensors, wearable technology, and secure and effective communication platforms between the clinicians and patients. A total of 791 articles were screened and 20 were selected for this review. The most common publication venue was conference proceedings (13, 54% This review only considered recent studies published between 2015 and 2017. The identified studies involved chronic conditions (6, 30% rehabilitation (7, 35% cardiovascular diseases (4, 20% falls (2, 10% and mental health (1, 5% Most studies focussed on the system aspects of WPM solutions including advanced sensors, wireless data collection, communication platform and clinical usability based on a specific area or disease. The current studies are progressing with localized sensor software integration to solve a specific use case/health area using non scalable and 'silo' solutions. There is further work required regarding interoperability and clinical acceptance challenges. The advancement of wearable technology and possibilities of using machine learning and artificial intelligence in healthcare is a concept that has been investigated by many studies. We believe future patient monitoring and medical treatments will build upon efficient and affordable solutions of wearable technology.
Violencia domestica, binomio cultural honra vergonha e controlo de mulheres: uma analise de processos de (pos)divorcio Domestic violence, honor shame cultural binomial and control on women: analysis of (post)divorce processes
Venue: Cuestiones de genero: de la igualdad y la diferencia
Year: 2019

ResumoNeste artigo o autor, partindo de conclusoes de varias pesquisas, incluindo uma por si coordenada, sobre desigualdades de genero, focaliza o olhar sobre o fenomeno de violencia domestica, em particular, sobre as mulheres, considerando o nivel socio estrutural, organizacional institucional e interativo. Uma vez problematizado o fenomeno e feita breve revisitacao teorica sobre desigualdades de genero, e convocado para analise da violencia sobre as mulheres o binomio honra vergonha, situando o nao tanto ao nivel cultural mas mais ao nivel do poder, do controlo de mulheres nas dimensoes sexual e patrimonial. Para ilustrar este fenomeno e feita uma analise sociologica de 400 processos judiciais de (pos)divorcio, recolhidos em dez comarcas e Tribunais de Menores no Centro, Sul e sobretudo Norte de Portugal continental.AbstractIn this article the author, based on conclusions of several researches, including one coordinated by himself, on gender inequalities, focuses on the phenomenon of domestic violence, in particular against women at societal, organisational institutional and interactive levels. Once problematised this social fact and made brief theoretical review on gender inequalities, is summoned to analysis of violence against women the honor shame binomial, not so much in cultural terms but as a power relationship namely on control of women at sexual and patrimonial dimensions. To illustrate this phenomenon is made a sociological analysis of 400 postdivorce processes, collected in counties and courts in the Center, South and especially North of mainland Portugal.
Quantification winter wheat LAI with HJ 1CCD image features over multiple growing seasons
Venue: Int. J. Appl. Earth Obs. Geoinformation
Year: 2016

Remote sensing images are widely used to map leaf area index (LAI) continuously over landscape. The objective of this study is to explore the ideal image features from Chinese HJ 1 A/B CCD images for estimating winter wheat LAI in Beijing. Image features were extracted from such images over four seasons of winter wheat growth, including five vegetation indices (VIs) principal components (PC) tasseled cap transformations (TCT) and texture parameters. The LAI was significantly correlated with the near infrared reflectance band, five VIs [normalized difference vegetation index, enhanced vegetation index (EVI) modified nonlinear vegetation index (MNLI) optimization of soil adjusted vegetation index, and ratio vegetation index] the first principal component (PC1) and the second TCT component (TCT2) However, these image features cannot significantly improve the estimation accuracy of winter wheat LAI in conjunction with eight texture measures. To determine the few ideal features with the best estimation accuracy, partial least squares regression (PLSR) and variable importance in projection (VIP) were applied to predict LAI values. Four remote sensing features (TCT2, PC1, MNLI and EVI) were chosen based on VIP values. The result of leave one out cross validation demonstrated that the PLSR model based on these four features produced better result than the ten features' model, throughout the whole growing season. The results of this study suggest that selecting a few ideal image features is sufficient for LAI estimation.
Rehabilitation Effects of Fatigue Controlled Treadmill Training After Stroke: A Rat Model Study
Venue: Frontiers in Bioengineering and Biotechnology
Year: 2020

Traditional rehabilitation with uniformed intensity would ignore individual tolerance and introduce the second injury to stroke survivors due to overloaded training. However, effective control of the training intensity of different stroke survivors is still lacking. The purpose of the study was to investigate the rehabilitative effects of electromyography (EMG) based fatigue controlled treadmill training on rat stroke model.  Sprague Dawley rats after intracerebral hemorrhage and EMG electrode implantation surgeries were randomly distributed into three groups: the control group (CTRL, n 11) forced training group (FOR T, n 11) and fatigue controlled training group (FAT C, n 11) The rehabilitation interventions were delivered every day from day 2 to day 14 post stroke. No training was delivered to the CTRL group. The rats in the FOR T group were forced to run on the treadmill without rest. The fatigue level was monitored in the FAT C group through the drop rate of EMG mean power frequency, and rest was applied to the rats when the fatigue level exceeded the moderate fatigue threshold. The speed and accumulated running duration were comparable in the FAT C and the FOR T groups. Daily evaluation of the motor functions was performed using the modified Neurological Severity Score. Running symmetry was investigated by the symmetry index of EMG bursts collected from both hind limbs during training. The expression level of neurofilament light in the striatum was measured to evaluate the neuroplasticity.  The FAT C group showed significantly lower modified Neurological Severity Score compared with the FOR T (P 0.003) and CTRL (P 0.003) groups. The FAT C group showed a significant increase in the symmetry of hind limbs since day 7 (P 0.000) whereas the FOR T group did not (P 0.349) The FAT C group showed a higher concentration of neurofilament light compared to the CTRL group (P 0.005) in the unaffected striatum and the FOR T group (P 0.021) in the affected striatum.  The treadmill training with moderate fatigue level controlled was more effective in motor restoration than forced training. The fatigue controlled physical training also demonstrated positive effects in the striatum neuroplasticity. This study indicated that protocol with individual fatigue controlled training should be considered in both animal and clinical studies for better stroke rehabilitation.
Coming Out as a Library
Year: 2020

The Styberg Library has offered support to the LGBTQ+ community in a variety of ways. This work stemmed from larger seminary commitments and statements which served as an impetus for the work. As an institution affiliated with the United Methodist Church, we recognized how the current impasse in the denomination had affected our community. In response, we offered ourselves as a place of affirmation and support. First, we curated several displays to highlight relevant resources and services that may be of interest to the queer community. We also created an LGBTQ+ LibGuide to highlight library resources/services and online community resources. Then, we began the process of constructing an archive to document the history of the seminary's LGBTQ+ community after realizing our archive lacked these documents. We continue to explore further ways to extend support. This poster highlighted various aspects of this work.
Longer stitch interval in the Krackow stitch for tendon graft fixation leads to poorer biomechanical property
Venue: Journal of orthopaedic surgery
Year: 2018

The purpose of this study was to analyze the effects of different intervals between stitch throws on tendon graft fixation with the Krackow stitch.  Forty four porcine flexor profundus tendons were randomly divided into four groups of 11 specimens each. The Krackow stitch with various stitch intervals (2.5, 5.0, 7.5, and 10.0 mm) were evaluated, and named the K 2.5, K 5.0, K 7.5, and K 10.0 groups, respectively. A braided nonabsorbable suture was used to complete each suture tendon construct. All specimens were pretensioned to 100 N for three cycles, cyclically loaded from 50 to 200 N for 200 cycles, and then finally loaded to failure. Elongation after cyclic loading, ultimate load to failure, and the mode of failure were recorded.  There were significant differences in elongation after cyclic loading among the K 2.5 (31% 5% K 5.0 (32% 4% K 7.5 (34% 5% and K 10.0 (41% 8% groups (p 0.004) the post hoc analysis showed significantly smaller values in the K 2.5 and K 5.0 groups than in the K 10.0 group (p 0.002 and 0.003, respectively) The stitch interval was correlated with elongation after cyclic loading (r 0.52, p 0.001) Ultimate loads to failure and cross sectional area were not significantly different across the four groups.  The Krackow stitch with stitch intervals of 2.5 and 5.0 mm had significantly smaller elongation after cyclic loading than with an interval of 10.0 mm in this porcine biomechanical study. The stitch interval was moderately correlated with elongation after cyclic loading.
Behind the game: Exploring the twitch streaming platform
Venue: 2015 International Workshop on Network and Systems Support for Games (NetGames)
Year: 2015

Twitch is a streaming platform that lets users broadcast their screen whilst playing games. People can share their game experience and interact with others in real time. Twitch has now become the fourth largest source of peak Internet traffic in the US. This paper explores the unique nature of this platform over a 11 month dataset. We find that Twitch is very different to existing video platforms, with a small number of games consistently achieving phenomenal dominance. We find a complex game ecosystem combining consistently popular games over years, newly released games enjoying bursts of popularity, and even old games appearing on the platform. Despite a strong skew of views across channels, the top ranked channels, although taking a significant share of the viewers, exhibit unexpectedly high churn. The reason behind this churn lies within another unique feature of this ecosystem, namely tournaments, live events that last for a limited amount of time but are capable of attracting a huge share of views when they take place, as well as dominate the views of the related games. Overall, our work reveals a complex and rich ecosystem, very different from existing user generated content platforms.
Partial factors for fatigue loads in the Eurocode system for road bridge design
Year: 2018

In the Eurocode system, for fatigue design of bridges, the recommended partial factor for fatigue traffic loads is set to 1. In this paper, the adequacy of this approach is investigated by performing a reliability analysis on two types of welded joint in a main girder of a steel motorway bridge. For this purpose, a weigh in motion measurement dataset belonging to a main Dutch motorway has been compared with the fatigue load model 4 of Eurocode EN 1991 2 with respect to the stress spectrum and the fatigue damage of two structural steel details. Several structural schemes have been considered to study the effect of the shape and length of the influence line. The distributions of the stochastic variables such as dynamic amplification, accuracy of the structural model, and future traffic trends have been estimated or taken from literature. Partial factors for fatigue loads have then been calibrated in such a way that the target reliability is obtained. The influence of each stochastic variable on partial factors has been studied by derivation of the sensitivity factors. The results show that a considerably higher fatigue partial factor is required for fatigue loads on road bridges than the value of 1 currently recommended in EN 1991 2. 1. The factor gMf depends on the choice of fatigue assessment method as well as the consequences of failure. For the safe life fatigue assessment method and a structure with high consequence of failure, gMf is recommended as 1.35. In this paper, the adequacy of these partial factors is investigated in a probabilistic approach where all influential random variables are attempted to be modelled as close to reality as possible. For this purpose, several structural schemes are defined and for each one of them, two structural details are designed to meet the Eurocode's safety requirements. Subsequently, the reliability of each designed case at the end of service life (100 years) is evaluated by the probabilistic approach and is compared with the safety requirement of the Eurocode (EN1990, 2002) Partial factors are calibrated in such a way that the deterministic design with partial factors arrives at the target reliability level.
Systemic immune inflammation index predicts new onset atrial fibrillation after ST elevation myocardial infarction.
Venue: Biomarkers in medicine
Year: 2021

To investigate the predictive capacity of a systemic immune inflammation index (SII) in detecting new onset atrial fibrillation (NOAF) following ST segment elevation myocardial infarction (STEMI)  A total of 402 STEMI patients were enrolled in the study. The patients were divided into two groups according to NOAF development.  A cut off point of 1,228,000 for SII was identified with 60% sensitivity and 78.1% specificity to predict NOAF following STEMI. According to pairwise analysis of receiver operating characteristic curve analysis, the predictive power of SII in detecting NOAF following STEMI was similar to high sensitive C reactive protein, and better than neutrophil to lymphocyte ratio or platelet to lymphocyte ratio.  SII can be used as one of the independent predictors of NOAF following STEMI.
Fourier's Transform
Year: 2018

Consider the trigonometrical series of the following form \frac{a_0}{2}\sum \limits _{n=1}\infty \left( a_n\cos n\omega x+ b_n\sin n\omega x\right) Since the functions \cos n\omega x\ and \sin n\omega x\ are periodical functions having the period (T=2\pi \omega we say that the series (4.1.1) is a periodical series.
Forecasting Tourist Arrivals and Supply and Demand Gap Analysis for Hotel Sector in Addis Ababa, Ethiopia
Year: 2016

This paper aims to forecast the long term behavior of tourist arrivals and analyze the gap between supply and demand for the hotel/accommodation sector of the city of Addis Ababa. It also intends to provide vital information in regards to the sparse knowledge in the subject of forecasting tourist arrivals in Ethiopia. The research is largely conducted based on the secondary data obtained from the Ministry of Culture and Tourism (MOCT) in the tenth edition of the Policy, Planning, Evaluation and Monitoring Directorate's bulletin publication on Tourism Statistics (2009 2012)(MOCT, 2013) Theoretical assessments of the requirement of a forecasting process and a critical analysis of available forecasting methods have been carried out to fit the profile of long term tourist arrivals. Based on the assessments and analysis, the Box Jenkins process was selected. Furthermore, the gap analysis is done using the Funneling Technique. The method has also determined that the annual tourist arrivals for the country in the year 2015 will be 798,157 and for the year of 2020, it is expected to be 1,130,971 and finally in 2025, the annual tourist arrivals are expected to climb to 1,463,743. The use of the Funneling Technique in combination with the Stepped Function Intervention Model establishes a different case scenario (positive, negative and starched intervention) which has then been studied to foresee the relationship between supply and demand of the accommodation sector under different circumstances.  Forecasting, tourist arrival, X 12 ARIMA, Supply, demand.
Habitat preferences and distribution of the brown rat (Rattus norvegicus Berk. in the city of Salzburg (Austria) implications for an urban rat management
Venue: Journal of Pest Science
Year: 2006

The population of Rattus norvegicus was assessed using live traps and hair sampling tubes in 71 discrete patches distributed in the urban area of the city of Salzburg, Austria. R. norvegicus occurred in 35% of the examined habitats and reached a maximum density of 113.12 individuals/km along water banks. The occurrence of rats was strongly influenced by vegetation, habitat modification and man made impact in the area. The results of this study could be used to support the development of a new, more scientifically based rat management plan in cooperation with the city of Salzburg.
Example Guided Image Prior for Blind Image Deblurring
Venue: IScIDE
Year: 2017

This paper proposes a patch based deblurring method to leverage the unregistered sharp example image which shares global or local contents with the blurred image in a variant view. Firstly, we propose a coarse to fine scheme to achieve the accurate image patches matching and solve the mismatch problem caused by the blur ambiguity. Secondly, we use sharp image patches to form a patch prior which outperforms the generic prior in kernel estimation as it retain more image details which are usually filtered out using generic priors. The proposed method using unregistered sharp example image make it more practical to find examples from variant ways, e.g. the Internet, the succession capturing using hand held camera, and multi frame in videos. Experiments on real world images show the patch prior can achieve more accurate and robust kernel estimation and outperforms state of the art methods.
An analysis and forecasts of online product sales based on BP Neural Network and Pearson Coefficient
Venue: 2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)
Year: 2020

We construct two models to derive the optimal plan. We successfully utilize our models to determine the best online sales strategy and identify potentially important design features that would enhance product desirability. We establish the Genetic Algorithm Optimized BP Neural Network Model to find the relationship between time based measures within data sets and the reputation of products. After quantifying all the indicators, we take BP Neural Network Model as a fitting platform to fit and forecast the reputation timeline figure. To degrade the influence because of the slow rate of convergence, we introduce Genetic Algorithm to seek optimal global solutions and optimize BP Neural Network Model. Finally, we arrive at the conclusion that the reputation of products has potential correlations with time based measures within data sets. We establish the Pearson Correlation Model to get the correlation between indexes. Firstly, we quantified all the indicators. According to the model analysis, we find that specific star ratings do incite more reviews. Besides, we use VADER, an NLP Sentiment Analysis Model, to quantify the sentiment descriptors of the reviews. Finally, we conclude that specific quality descriptors of text based reviews are strongly associated with star rating level but barely associated with the helpful rating level.
Involving, Sharing, Analysing Potential of the Participatory Photo Interview
Year: 2008

Der vorliegende Artikel beschreibt die Methode des Fotointerviews und stellt praktische Erfahrungen aus einem partizipatorischen inter und transdisziplinaren Forschungssetting dar. Er zeigt, dass sich das Fotointerview in der Nachhaltigkeits und Umweltforschung bewahrt hat, wo lokale Bevolkerung eingebunden war und einen wichtigen Beitrag zur Forschung lieferte. Ausgehend von Forschungserfahrungen in verschiedenen Landern beschreibt und analysiert die Autorin den Fotointerviewprozess und seinen Einfluss auf das Datenmaterial. Dieser wird in drei Phasen beschrieben: Beteiligen von Forschungspartner/innen, Mitteilen und Teilen von Ergebnissen zwischen Forscher/innen und nichtwissenschaftlichen Partner/innen, Analysieren und Interpretieren von Daten. In der ersten Phase des Fotointerviewprozesses wird die Methode eingesetzt, um Beteiligte aus verschiedenen Gesellschaftsschichten in den Forschungsprozess einzubinden. In der zweiten Phase werden Befragte und Forscher/innen gleichermasen ermutigt, die jeweiligen Sichtweisen und Perspektiven zu teilen und an einem gemeinsamen Problemverstandnis uber lokale Strukturen und Prozesse sowie an moglichen Losungen zu arbeiten. Die dritte Phase dient dazu, das visuelle und textliche Datenmaterial als Reprasentation von sozialen Kontexten zu analysieren. Indem Forscher/innen in Bildern manifeste subjektive Ansichten entschlusseln, die auch noch von weiteren Methoden begleitet werden, analysieren sie visuelle Kodierungen von Beteiligten und deren soziale Einbettung in das soziale Feld. URN: urn:nbn:de:0114 fqs0803127