nils-herrmann/clean_scirepeval huggingface dataset:
Field Management of Facial Injuries in Sports.
Venue: The Journal of craniofacial surgery
Year: 2019

This study reviews the epidemiology, diagnostic heuristics, and field management of sports related facial injuries for sideline physicians.Facial injuries account for 3% to 29% of sports injuries, and sports injuries account for 11.3% to 42.1% of facial fractures. In a previous series, fractures of the nasal bone were the most common in all sports (40% 60.5% mandibular fractures were common in martial arts (33.3% and soccer (11.1% orbital bone fractures were common in basketball (20.0% ice sports (18.2% and baseball (15.8% and fractures of the zygoma occurred frequently in martial arts (13.3% and soccer (10.0%.Facial lacerations may injure nerves (facial and trigeminal) salivary ducts (parotid or submandibular) and the lacrimal apparatus. Facial fractures are inspected by palpating the bony prominences bilaterally. For simple lacerations, if the player does not have to return to the court, the wound should be cleansed as needed, and surgical adhesives can be applied in the field. However, if return to play is an issue, sutures are recommended rather than surgical adhesives.For nasal injuries involving a gross deformity, immediate closed reduction may not be necessary unless airway competency is compromised. Severe cases of nasal fracture treated immediately by closed reduction should be evaluated by a trained plastic surgeon.In sports, facial injuries are prone to be missed, but their importance should not be neglected. Therefore, sideline physicians should be aware of the relatively high frequency of facial injuries, including facial bone fractures. They should have the knowledge needed to manage these injuries, and must prepare emergency management kits.
Is the Software Package Embedding Dynamic Causal Modeling Robust
Year: 2014

In recent years, Dynamic CausalModeling (DCM) has become a very popular method in the field of effective connectivity measurement of the brain and it is being used widely for different purposes. The only software available that has embedded this algorithm is Statistical Parametric Mapping (SPM) which is a MATLAB based toolbox. In this paper, we compare the results obtained from data analyses using different versions of the software. The dispersion of results suggest that researchers should approach the SPMtoolbox with caution as the results of the analysis of the same set of data and the same defined model may vary depending on the version of SPM or MATLAB or even the operating system used.
Hybrid TE: Hybrid Translation Based Temporal Knowledge Graph Embedding
Venue: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)
Year: 2019

Knowledge graph embedding has become a promising method for knowledge graph completion. In this work, we propose Hybrid TE, a hybrid translation based temporal knowledge graph embedding, which combines two translation models TransD and HyTE for modeling both temporal and multirelational facts. Benefiting from two underlying models, Hybrid TE first builds entity and relation embeddings in separate vector space for modelling multi relational facts, and then explicitly learns time information by translational embedding on timespecific hyperplanes. We observe that a simple combination of two models does not lead to a satisfactory predictive precision. We therefore propose to project a triplet to all time specific hyperplanes on which it is temporally valid. Besides, we also explore extra negative relation samplings that differ from positive samplings in relations. We conduct extensive experiments with real datasets on link prediction, relation prediction and temporal scope prediction. Experiments show significant improvements over previous time insensitive or time aware models.
(OECD, 2012) Equity and Quality in Education: Supporting Disadvantaged Students and Schools
Year: 2011

This spotlight report draws upon the OECD report Equity and Quality in  Supporting Disadvantaged Students and Schools. The first section reproduces the executive summary of the report. The second section presents a snapshot of some variables on equity in education and school failure in the Czech Republic based on the indicators used in the comparative report. It also outlines some recent policy developments and suggested policy options for the Czech Republic, which are also informed by the Country Background Report prepared by the Czech Republic.
Effectiveness of Rainwater Harvesting Systems for Flood Reduction in Residential Urban Areas
Venue: Water
Year: 2019

Rainwater harvesting (RWH) systems have many benefits being an effective alternative water supply solution, not only in arid and semi arid regions. Also, these systems can be useful in the reduction of flood risk in urban areas. Nevertheless, most of the studies in literature focused on the potential of RWH in reducing water consumption, whereas few examples examined their efficiency in the retention of stormwater in flood susceptible residential areas. The aim of this work was to investigate the reliability of RWH systems in terms of stormwater retention. Specifically, the performance of RWH tanks to supply water for toilet flushing, in more than 400 single family houses in a residential area of Sicily (Southern Italy) was analyzed. The area of study was chosen due to its high susceptibility to flooding. A flushing water demand pattern was defined using water consumption data collected during a measurement campaign. The yield after spillage algorithm was used to simulate the daily water balance of the RWH tanks. The effect of the RWH implementation on flood volumes in the area of study was quantified using FLO 2D. Results point out that the potential of neighborhood RWH installation in the mitigation of flood risk is highly related to rainfall amount.
High Throughput Resource Unit Assignment Scheme for OFDMA based WLAN
Venue: 2019 IEEE Wireless Communications and Networking Conference (WCNC)
Year: 2019

Orthogonal Frequency Division Multiple Access (OFDMA) introduced in IEEE 802.11ax amendment promises to improve spectral efficiency by grouping subcarriers into resource units (RUs) It is important to design RU assignment to improve throughput for the OFDMA based WLAN. In this paper, we present the High Throughput RU Assignment Scheme (HiTRAS) and formulate the optimization problem maximizing network throughput for the HiTRAS. The solution of the optimization problem leads to the optimal RU assignment that allocates RUs to multiple mobile stations (STAs) so that the STAs can transmit their uplink traffic simultaneously and thus high throughput is gained. The simulation results show that the HiTRAS outperforms the existing schemes in terms of throughput.
The CL SciSumm Shared Task 2017: Results and Key Insights
Venue: BIRNDL@SIGIR
Year: 2017

This overview describes the official results of the CL SciSumm Shared Task 2018 the first medium scale shared task on scientific document summarization in the computational linguistics (CL) domain. This year, the dataset comprised 60 annotated sets of citing and reference papers from the open access research papers in the CL domain. The Shared Task was organized as a part of the 41st Annual Conference of the Special Interest Group in Information Retrieval (SIGIR) held in  Arbor, USA in July 2018. We compare the participating systems in terms of two evaluation metrics. The annotated dataset and evaluation scripts can be accessed and used by the community from: \url{this https URL}
t Closeness through Microaggregation: Strict Privacy with Enhanced Utility Preservation
Venue: IEEE Transactions on Knowledge and Data Engineering
Year: 2015

Microaggregation is a technique for disclosure limitation aimed at protecting the privacy of data subjects in microdata releases. It has been used as an alternative to generalization and suppression to generate k anonymous data sets, where the identity of each subject is hidden within a group of k subjects. Unlike generalization, microaggregation perturbs the data and this additional masking freedom allows improving data utility in several ways, such as increasing data granularity, reducing the impact of outliers, and avoiding discretization of numerical data. k Anonymity, on the other side, does not protect against attribute disclosure, which occurs if the variability of the confidential values in a group of k subjects is too small. To address this issue, several refinements of k anonymity have been proposed, among which t closeness stands out as providing one of the strictest privacy guarantees. Existing algorithms to generate t close data sets are based on generalization and suppression (they are extensions of k anonymization algorithms based on the same principles) This paper proposes and shows how to use microaggregation to generate k anonymous t close data sets. The advantages of microaggregation are analyzed, and then several microaggregation algorithms for k anonymous t closeness are presented and empirically evaluated.
Novel unidentified flying object (UFO) like aircraft
Year: 2012

The invention relates to an uncommon aircraft in the field of aerospace. The aircraft is completely different from conventional aircrafts in the principle of generating ascending power, and the weight of the aircraft is overcome by completely depending on the spinning centrifugal force relative to the earth generated by high speed rotation of a power shell layer. Therefore, the aircraft does not need aerostatic buoyancy, a screw propeller or an air injection (or rocket) engine nozzle. The whole aircraft body is totally closed, and the shape can be made into the dish shaped UFO in the legends. In addition, the aircraft can employ various fuels and is particularly suitable for employing nuclear fuels. In order to allow the aircraft to have high maneuverability, multiple recoil nozzles can be additionally arranged. Compared with the traditional aircraft, the aircraft has the advantages that the fuel service efficiency is higher, even the aircraft can be taken as the dish shaped UFO in the legends.
Chapter 14 Respiratory System
Year: 2018

The respiratory tract is a complex organ system both macroscopically and microscopically, with many different functions and cell types located throughout the nasopharyngeal, tracheobronchial, and pulmonary regions. Exposure to xenobiotics occurs via inhalation and via the blood following ingestion, dermal exposure, or parenteral administration. Potential toxic agents vary from inhaled particles and gases, to toxins in ingested food. Targeted toxicity of air or blood borne toxicants within the upper or lower respiratory tract is dependent on numerous factors, but most importantly the physical and chemical character of the chemical agent, site specific tissue dosimetry and sensitivity, and host dependent factors such as health status, gender and age. Knowledge of these factors is critical in interpreting the response to injury. In addition, species and strain differences (genetic factors) must be considered in interpretation of data to be used in risk assessment. In naturally occurring disease, the respiratory response to toxicant induced injury is often nonspecific, so it is important to consider the gross distribution of respiratory lesions and to use detailed history and ancillary test results in conjunction with histological evaluation to determine potential etiologic agents.
Design and Research on Four axis Motion Controller Based on DSP and FPGA
Year: 2011

According to the characteristics and requirements of CNC system,a motion controller based on DSP and FPGA was designed through a research on DSP TMS320F2812,FPGA EP2C8F256C6 and Ethernet controller RTL8019AS.For the real time control and high precision issues of motion control,planning the DSP function expansion and expanding four axis motion control circuit with independent function in the FPGA.The circuit can implement four way control signal outputs,can deal with four way encoder feedback signals,and can receive and dispose input digital signals such as origin signal,positive and negative limit signals and so on.The motion controller has simple structure,openness,modularity,etc.It can better meet the real time and accurate performance of the motion controller.
Smart Parking Guidance, Monitoring and Reservations: A Review
Venue: IEEE Intelligent Transportation Systems Magazine
Year: 2017

As the urban population is increasing, more and more cars are circulating in the city to search for parking spaces which contributes to the global problem of traffic congestion. To alleviate the parking problems, smart parking systems must be implemented. In this paper, the background on parking problems is introduced and relevant algorithms, systems, and techniques behind the smart parking are reviewed and discussed. This paper provides a good insight into the guidance, monitoring and reservations components of the smart car parking and directions to the future development.
Global stability in a networked SIR epidemic model
Venue: Appl. Math. Lett.
Year: 2020

A graph Laplacian reaction diffusion system is introduced to a networked SIR epidemic model. By the means of Lyapunov function, we show that the endemic equilibrium is globally asymptotically stable if the basic reproduction number is greater than 1, while the disease free equilibrium is globally asymptotically stable if the basic reproduction number is lower than 1. We extend the stability theory of SIR models with classical Laplacian diffusion to models with graph Laplacian.
Analysis of the Indian National Education Policy 2020 towards Achieving its Objectives
Year: 2020

Well defined and futuristic education policy is essential for a country at school and college levels due to the reason that education leads to economic and social progress. Different countries adopt different education systems by considering the tradition and culture and adopt different stages during their life cycle at school and college education levels to make it effective. Recently Government of India announced its new Education policy which is based on the recommendations by an expert committee headed by Dr. Kasturirangan, Former chairman of the Indian Space Research Organization (ISRO) This paper highlights on various policies announced in the higher education system and compare them with the currently adopted system. Various innovations and predicted implications of NEP 2020 on the Indian higher education system along with its merits are discussed. Finally, some suggestions are proposed for its effective implementation towards achieving its objectives.
Thermodynamically consistent modelling of two phase flows with moving contact line and soluble surfactants
Venue: Journal of Fluid Mechanics
Year: 2019

Droplet dynamics on a solid substrate is significantly influenced by surfactants. It remains a challenging task to model and simulate the moving contact line dynamics with soluble surfactants. In this work, we present a derivation of the phase field moving contact line model with soluble surfactants through the first law of thermodynamics, associated thermodynamic relations and the Onsager variational principle. The derived thermodynamically consistent model consists of two Cahn Hilliard type of equations governing the evolution of interface and surfactant concentration, the incompressible Navier Stokes equations and the generalized Navier boundary condition for the moving contact line. With chemical potentials derived from the free energy functional, we analytically obtain certain equilibrium properties of surfactant adsorption, including equilibrium profiles for phase field variables, the Langmuir isotherm and the equilibrium equation of state. A classical droplet spread case is used to numerically validate the moving contact line model and equilibrium properties of surfactant adsorption. The influence of surfactants on the contact line dynamics observed in our simulations is consistent with the results obtained using sharp interface models. Using the proposed model, we investigate the droplet dynamics with soluble surfactants on a chemically patterned surface. It is observed that droplets will form three typical flow states as a result of different surfactant bulk concentrations and defect strengths, specifically the coalescence mode, the non coalescence mode and the detachment mode. In addition, a phase diagram for the three flow states is presented. Finally, we study the unbalanced Young stress acting on triple phase contact points. The unbalanced Young stress could be a driving or resistance force, which is determined by the critical defect strength.
Effect of an a Lactalbumin Enriched Infant Formula Supplemented With Oligofructose on Fecal Microbiota, Stool Characteristics, and Hydration Status
Venue: Clinical pediatrics
Year: 2015

To evaluate the impact of oligofructose (OF) supplemented infant formula on fecal microbiota, stool characteristics, and hydration.  Ninety five formula fed infants were randomized to a lactalbumin enriched control formula (CF) or identical formula with 3.0 g/L OF (EF) for 8 weeks; 50 infants fed human milk (HM) were included.  Eighty four infants completed the study, 70 met per protocol criteria. Over 8 weeks, bifidobacteria increased more in EF than CF group (0.70 vs 0.16 log10 bacterial counts/g dry feces, P .008) EF was not significantly different from HM group (P .32) EF group stool consistency was intermediate between CF and HM groups; at week 8, EF group had softer stools than CF (5 point scale: 1 hard, 5 watery; consistency score 3.46 vs 2.82, P .015) without significant differences in stool frequency. Physician assessed hydration status was normal for all infants.  Infant formula with 3.0 g/L OF promoted bifidobacteria growth and softer stools without adversely affecting stool frequency or hydration.
Learning for Single Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences
Venue: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2019

We propose a generic framework to calibrate accuracy and confidence of a prediction in deep neural networks through stochastic inferences. We interpret stochastic regularization using a Bayesian model, and analyze the relation between predictive uncertainty of networks and variance of the prediction scores obtained by stochastic inferences for a single example. Our empirical study shows that the accuracy and the score of a prediction are highly correlated with the variance of multiple stochastic inferences given by stochastic depth or dropout. Motivated by this observation, we design a novel variance weighted confidence integrated loss function that is composed of two cross entropy loss terms with respect to ground truth and uniform distribution, which are balanced by variance of stochastic prediction scores. The proposed loss function enables us to learn deep neural networks that predict confidence calibrated scores using a single inference. Our algorithm presents outstanding confidence calibration performance and improves classification accuracy when combined with two popular stochastic regularization techniques stochastic depth and dropout in multiple models and datasets; it alleviates overconfidence issue in deep neural networks significantly by training networks to achieve prediction accuracy proportional to confidence of prediction.
Trustworthy AI Development Guidelines for Human System Interaction
Venue: 2020 13th International Conference on Human System Interaction (HSI)
Year: 2020

Artificial Intelligence (AI) is influencing almost all areas of human life. Even though these AI based systems frequently provide state of the art performance, humans still hesitate to develop, deploy, and use AI systems. The main reason for this is the lack of trust in AI systems caused by the deficiency of transparency of existing AI systems. As a solution, "Trustworthy AI" research area merged with the goal of defining guidelines and frameworks for improving user trust in AI systems, allowing humans to use them without fear. While trust in AI is an active area of research, very little work exists where the focus is to build human trust to improve the interactions between human and AI systems. In this paper, we provide a concise survey on concepts of trustworthy AI. Further, we present trustworthy AI development guidelines for improving the user trust to enhance the interactions between AI systems and humans, that happen during the AI system life cycle.
P91 Evaluation d'un protocole de prelevement bacteriologique profond dans le pied diabetique infecte
Year: 2010

Les plaies infectees du pied diabetique posent de nombreux problemes diagnostiques et therapeutiques d'autant plus qu'il existe une infection profonde osseuse ou osteoarticulaire, souvent difficile a typer. Nous avons mis en place un protocole de prelevement profond bacteriologique et l'avons evalue a notre consultation ambulatoire du pied diabetique en comparant nos resultats aux prelevements osseux chirurgicaux secondaires. Patients et Methodes Seize patients diabetiques (12 hommes et 4 femmes, age moy 67,5 ans HbA1c moy 7,35 ayant un diabete multicomplique et ancien, et presentant une plaie de pied avec infection osseuse/osteoarticulaire, ont beneficie en ambulatoire d'un prelevement profond selon le protocole etabli. La plaie est a dominance neuropathique dans la moitie des cas, et mixte dans l'autre moitie. Un syndrome inflammatoire/infectieux local etait present dans 62,5 des cas, et un contact osseux dans 81 des plaies. L'imagerie (IRM et/ou radiographies standard) confirme une osteite (37,5 ou une osteoarthrite (62,5 Resultats Les prelevements profonds effectues par biopsie osseuse ou resection chirurgicale identifient 23 germes chez nos 16 patients (BMR 22 On retrouve staphylocoques 61 (dont SARM 43 SAMS 36 autres 21 Pseudomonas 17 streptocoques 13 autres (EColi, Citrobacter) 9 Les prelevements sont monomicrobien a 69 et plurimicrobien a 31 Discussion Tous nos prelevements ambulatoires sont monomicrobiens. Dans 4 cas (25 le prelevement profond ambulatoire est insuffisant, soit en ne retrouvant pas le germe incrimine (1/4) soit en restreignant le nombre de germes (3/4) On constate que les differences sont notees en cas d'infection articulaire associee a l'osteite, probablement moins accessible au geste ambulatoire.  Notre evaluation de protocole de prelevement profond dans l'infection du pied diabetique avec infection osteoarticulaire nous montre que nous ne pouvons pas nous dispenser de biopsie chirurgicale en cas d'infection articulaire associee. Le prelevement profond realise en ambulatoire ne pourra etre reserve qu'aux plaies de pied diabetique avec osteite isolee.