nils-herrmann/clean_scirepeval huggingface dataset:
Continuous Error Detection and Correction of Arithmetic in a Complement RRNS
Venue: 2020 10th Annual Computing and Communication Workshop and Conference (CCWC)
Year: 2020

A method for performing continuous error detection and correction of arithmetic is disclosed which utilizes a redundant residue number system (RRNS) and signed values encoded using the method of complements. Prior art methods for error correction in an RRNS operate on positive magnitudes only. Correction of negative values encoded using the method of complements of the full range of the RRNS representation has not been previously solved. This paper demonstrates the prior art using an example error correction of a positive result and explains why negative numbers present a problem for error correction of arithmetic. Next, two new solutions for direct correction of negative numbers encoded using the method of complements is disclosed. In the first method, two groups of trial digit sets are tested; one group for positive numbers and the other for negative numbers. A basic proof for the method is detailed which uses the Chinese Remainder Theorem. In a second method also disclosed, negative values are directly corrected along with positive numbers using a single pass hardware pipeline. The second method is developed formally and is followed with an example of a direct error correction of a negative value. Finally, details of a pipelined error detection and correction circuit is provided. Because of the carry free properties of the RRNS number system, and because of the new correction methods, an error in any digit may be corrected with equal success, even after lengthy product summation operations. The new error correction method provides continuous correction of arithmetic since the circuit designs are fully pipelined and can deliver a corrected result every clock cycle. The new error correction method is used to provide error correction to signed arithmetic using a standard method of complements encoding; this enables flexible error correction of general purpose RNS arithmetic for advanced applications such as convolution neural network (CNN) and matrix arithmetic.
ESC guidelines on the management of stable coronary artery disease addenda The Task Force on the management of stable coronary artery disease of the European Society of Cardiology
Year: 2013

Authors/Task Force Members: Gilles Montalescot* (Chairperson) (France) Udo Sechtem* (Chairperson) (Germany) Stephan Achenbach (Germany) Felicita Andreotti (Italy) Chris Arden (UK) Andrzej Budaj (Poland) Raffaele Bugiardini (Italy) Filippo Crea (Italy) Thomas Cuisset (France) Carlo Di Mario (UK) J. Rafael Ferreira (Portugal) Bernard J. Gersh (USA) Anselm K. Gitt (Germany) Jean Sebastien Hulot (France) Nikolaus Marx (Germany) Lionel H. Opie (South Africa) Matthias Pfisterer (Switzerland) Eva Prescott (Denmark) Frank Ruschitzka (Switzerland) Manel Sabate (Spain) Roxy Senior (UK) David Paul Taggart (UK) Ernst E. van der Wall (Netherlands) and Christiaan J.M. Vrints (Belgium)
Transforming Traditional Bureaucratic Management Practices By Employing The Collegial Leadership Model Of Emancipation
Year: 2013

The main purpose of this study is to determine whether the Collegial Leadership Model of Emancipation (COLME) can serve as a conceptual framework to transform traditional bureaucratic management practices (TBMPs) in organizations such as schools. The question does arise whether a theory such as the COLME has the potency to introduce leadership change by empowering and emancipating their employees. It is a fallacy to simply assume that experience alone, in the absence of theory, will contribute to this knowledge base to develop collegial leaders. All the respondents in this exploratory qualitative study embraced collegiality to transform TBMPs in their organizations. For the positive effects to be sustained, the collegial practices need to be evolutionary and emancipatory in order to evoke the values of collegial leadership as elucidated by the findings of this study. Interviewees affirmed that the COLME provides an astute framework to develop commendable collegial leadership practices as it clearly outlines procedures to develop and use the leadership potential of all the employees in order to foster joint accountability. They acknowledged that when the principles of collegiality are flexibly applied, they contribute to the creation of a holistic milieu in which all employees are able to express themselves freely without fear of failure and thus feel that they are part of the democratic decision making process. Evidently, a conceptual framework such as the COLME can serve as a benchmark for leadership effectiveness because organizational outcomes need to be measured against standards of excellence in meeting both employee and customer expectations.
Quantitative assessment of liver fibrosis (qFibrosis) reveals precise outcomes in Ishak "stable" patients on anti HBV therapy
Venue: Scientific Reports
Year: 2018

Current widely used semiquantitative histological assessment methods are insensitive to identify subtle changes of liver fibrosis. Therefore, to precisely assess therapeutic efficacy on chronic hepatitis B (CHB) we explored the utility of qFibrosis (a fully quantitative morphometric method employing second harmonic generation/two photon excitation fluorescence) in liver fibrosis evaluation. Fibrosis changes were evaluated by Ishak fibrosis scoring and qFibrosis in CHB patients with paired liver biopsies before and after 78 weeks' antiviral therapy. A total of 162 patients with qualified paired biopsies were enrolled. Ishak fibrosis scoring revealed that 42.6% (69/162) of the patients achieved fibrosis regression =1 point decrease) 51.9% (84/162) remained stable, and 5.5% (9/162) showed progression =1 point increase) qFibrosis showed similar trends in the groups of regression and progression patients as evaluated by Ishak. However, in Ishak stable patients, qFibrosis revealed hitherto undetected changes, allowing for further subcategorization into regression "Regression by qFibrosis" 40/84, 47.6% stable (29/84, 34.5% and progression "Progression by qFibrosis" 15/84, 17.9% groups. These newly fine tuned categories were supported by changes of morphological parameters of fibrosis, collagen percentage area, and liver stiffness measurements. In conclusion, qFibrosis can be used to quantitatively identify subtle changes of liver fibrosis in CHB patients after antiviral therapy.
World Ranking Of Countries In Elite Sport
Year: 2018

Researchers, media, and sports leaders use the Olympic medal table at the end of each edition of the Winter or Summer Games as a benchmark for measuring the success of countries in elite sport. This ranking, however, has several limitations, such as: i) the absolute superiority of a gold medal over any number of silver and bronze creates the false inference that a country with one outstanding athlete capable of winning a gold medal is superior to another in events where several athletes finish second and third; ii) by not considering the number of countries participating in each event, the medal table does not consider the competition level of each sport; iii) only 87 of the 206 National Olympic Committees won medals when the 2016 Summer and 2018 Winter Olympic medal tables are combined. This statistical feature prevents an adequate comparative analysis of the success of countries in elite sport, considering that 58% of participants are absent. To overcome this lack, Nassif (2017) proposed a methodology with the following characteristics: a) a computation model that gives each country its share of points in at least one sport and, consequently, its world ranking based on the total number of points that particular country has obtained in all the sports in which it participates; b) the introduction of coefficients of universality and media popularity for each sport. Apart from accurately assessing the performance of all countries in international competitions, this study in the future aims to undertake in depth studies of the factors that determine the success or failure of nations in elite sport.
Semantic Context Aware Recommendation via Topic Models Leveraging Linked Open Data
Venue: WISE
Year: 2016

Context aware recommendation systems are used to provide personalized recommendations by exploiting contextual situation. They take into account not only user preferences, but also additional relevant information (context) Statistical topic models such as Latent Dirichlet Allocation (LDA) have been extensively used for discovering latent semantic topics in text documents. In this paper, we propose a probabilistic topic model that incorporates user interests, item representation and context information in a single framework. In our approach, the contextual information is represented as a subset of the items feature space which is acquired from the knowledge available in the Linked Open Data (LOD) We use DBpedia, a well known knowledge base in LOD, to utilize the context information in recommendation. Our proposed recommendation framework computes the conditional probability of each item given the user preferences and the additional context. We use these probabilities as recommendation scores to find top n items for recommendations. The performed experiments demonstrate the effectiveness of our proposed method and shows that leveraging semantic context from the Linked Open Data can improve the quality of the recommendations.
Elucidating reasons of COVID 19 re infection and its management strategies
Venue: Diabetes Metabolic Syndrome: Clinical Research Reviews
Year: 2021

Reinfection is gradually being recognised after symptomatic or asymptomatic COVID 19 infection. We try to elucidate various explanations behind COVID 19 reinfection and suggest possible strategies to counteract this threat.  We carried out a comprehensive review of the literature using suitable keywords such as 'COVID 19' 'Pandemics' 'Reinfection' 'Vaccines' and 'India' on the search engines of PubMed, SCOPUS, Google Scholar and Research Gate in March 2021 and first half of April 2021 during the current COVID 19 pandemic. Epidemiology, risk factors and trends of reinfection were assessed.  A multitude of factors have been associated with rising incidence of COVID 19 reinfection in India and across the world. Emergence of 'Variants of Concern (VOC) pandemic fatigue and disregard of infection prevention strategies appear to be the most obvious reasons.  COVID 19 reinfection is an emerging concern amongst the worldwide population with newer mutant strains demonstrating increasing transmissibility and responsible for continuing waves of the pandemic. COVID Appropriate Behaviour (CAB) improvised vaccines and enhanced vaccination drives are necessary to mitigate global threat.
Response to the correspondence referring to our article "Stunting is not a synonym of malnutrition" (2018EJCN0997RR) by Conny Tanjung, Titis Prawitasari, Damayanti Rusli Sjarif
Venue: European Journal of Clinical Nutrition
Year: 2020

Thank you for the opportunity to answer the correspondence  referring to our article, "Stunting is not a synonym of malnutrition"  Stunting defined as height for age 2SD of the WHO child growth standards, is not a synonym of malnutrition. The lack of association between nutrition and stature has explicitly been described already 100 years ago. In view of thousands of severely starving children shortly after World War I, Schlesinger stated: "The child's longitudinal growth is largely independent of the extent and nature of the diet. Even during severe dietary restrictions, impairments of infant growth are markedly small, and occur slowly and delayed"  In view of the rich literature on nutrition and growth of the early 20th century, and the still amazingly diverse professional opinions on this issue, we are pleased to reply to the comments of Tanjung et al.  They precisely reflect the current state of debate, and we will thus try to provide some more insights into this fascinating topic. Tanjung et al.  refer to the widespread opinion that "stunting may begin very early in life, typically in utero" This may be right for some populations, but it does not apply for Indonesians. Pulungan et al. published Indonesian national growth charts  The average lengths of newborn boys with 50.12 cm, and newborn girls with 49.81 cm are even greater than WHO standards (boys 49.88, girls 49.15) The same applies for birth weights (average Indonesian boys' birth weight is 3.46 (WHO 3.35) kg, girls' weight is 3.39 (WHO 3.232) kg. The data clearly show that though stunted at later age, Indonesian children do not suffer from prenatal growth impairment. This is in line with historic European observations. Mid 19th century European children and adults were significantly shorter than WHO standards and references, but their birth weights and lengths were close to or even above WHO values. The authors cite "many important factors that can cause stunting such as household and family factors, inadequate infant feeding practices and infection" This is true. Yet, we feel it would be insolent to assume that 50% of the parents in rural Soe, among them many civil servants, government employees, teachers, dentists, and architects, with diplomas, magister, and university degrees, would had offered adverse housing conditions or inadequate feeding practices resulting in child stunting. We agree that stunting may be caused by familial short stature, constitutional delay of growth and development, and genetic and endocrine disorders. We did not measure parental height. But we documented timely eruption of the deciduous teeth in children of the first to third year of primary school, and there was no delay in age of menarche in older girls. We failed to find evidence supporting constitutional delay of growth and development. And we feel that it may be quite preposterous to assume that half of the Michael Hermanussen michael.hermanussen@gmail.com
Design, Planning, and Control of an Origami inspired Foldable Quadrotor
Venue: 2019 American Control Conference (ACC)
Year: 2019

In this paper, a novel foldable quadrotor (FQR) inspired by an origami mechanism is designed. The FQR can fold its arms during flight to enable aggressive turning maneuvers and operations in cluttered environments. A dynamic model of folding is built for this system with the collected data, and a feedback controller is designed to control the position and orientation of the FQR. Lyapunov stability analysis is conducted to show that the system is stable during arm folding and extension, and motion planning of the FQR is achieved based on a modified minimum snap trajectory generation method. Simulation results are provided to demonstrate the advantage of this design over the conventional quad rotor in obstacle avoidance during flight.
Humanization of Antibodies using a Statistical Inference Approach
Venue: Scientific Reports
Year: 2018

Antibody humanization is a key step in the preclinical phase of the development of therapeutic antibodies, originally developed and tested in non human models (most typically, in mouse) The standard technique of Complementarity Determining Regions (CDR) grafting into human Framework Regions of germline sequences has some important drawbacks, in that the resulting sequences often need further back mutations to ensure functionality and/or stability. Here we propose a new method to characterize the statistical distribution of the sequences of the variable regions of human antibodies, that takes into account phenotypical correlations between pairs of residues, both within and between chains. We define a "humanness score" of a sequence, comparing its performance in distinguishing human from murine sequences, with that of some alternative scores in the literature. We also compare the score with the experimental immunogenicity of clinically used antibodies. Finally, we use the humanness score as an optimization function and perform a search in the sequence space, starting from different murine sequences and keeping the CDR regions unchanged. Our results show that our humanness score outperforms other methods in sequence classification, and the optimization protocol is able to generate humanized sequences that are recognized as human by standard homology modelling tools.
Quantitative optical coherence tomography angiography biomarkers for neovascular age related macular degeneration in remission
Venue: PloS one
Year: 2018

To characterize quantitative optical coherence tomography angiography (OCT A) parameters in active neovascular age related macular degeneration (nAMD) patients under treatment and remission nAMD patients.  Retrospective, cross sectional study.  One hundred and four patients of whom 72 were in Group 1 (active nAMD) and 32 in Group 2 (remission nAMD) based on SD OCT (Spectral Domain OCT) qualitative morphology.  This study was conducted at the Centre Ophtalmologique de l'Odeon between June 2016 and December 2017. Eyes were analyzed using SD OCT and high speed (100 000 A scans/second) 1050 nm wavelength swept source OCT A. Speckle noise removal and choroidal neovascularization (CNV) blood flow delineation were automatically performed. Quantitative parameters analyzed included blood flow area (Area) vessel density, fractal dimension (FD) and lacunarity. OCT A image algorithms and graphical user interfaces were built as a unified tool in Matlab coding language. Generalized Additive Models were used to study the association between OCT A parameters and nAMD remission on structural OCT. The models' performance was assessed by the Akaike Information Criterion (AIC) Brier Score and by the area under the receiver operating characteristic curve (AUC) A p value of 0.05 was considered as statistically significant.  Area, vessel density and FD were different (p<0.001) in the two groups. Regarding the association with CNV activity, Area alone had the highest AUC (AUC 0.85; 95%CI: 0.77 0.93) followed by FD (AUC 0.80; 95%CI: 0.71 0.88) Again, Area obtained the best values followed by FD in the AIC and Brier Score evaluations. The multivariate model that included both these variables attained the best performance considering all assessment criteria.  Blood flow characteristics on OCT A may be associated with exudative signs on structural OCT. In the future, analyses of OCT A quantitative parameters could potentially help evaluate CNV activity status and to develop personalized treatment and follow up cycles.
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling
Venue: ArXiv
Year: 2020

Capturing and processing video is increasingly common as cameras become cheaper to deploy. At the same time, rich video understanding methods have progressed greatly in the last decade. As a result, many organizations now have massive repositories of video data, with applications in mapping, navigation, autonomous driving, and other areas. Because state of the art object detection methods are slow and expensive, our ability to process even simple ad hoc object search queries 'find 100 traffic lights in dashcam video' over this accumulated data lags far behind our ability to collect it. Processing video at reduced sampling rates is a reasonable default strategy for these types of queries, however, the ideal sampling rate is both data and query dependent. We introduce ExSample, a low cost framework for object search over unindexed video that quickly processes search queries by adapting the amount and location of sampled frames to the particular data and query being processed. ExSample prioritizes the processing of frames in a video repository so that processing is focused in portions of video that most likely contain objects of interest. It continually re prioritizes processing based on feedback from previously processed frames. On large, real world datasets, ExSample reduces processing time by up to 6x over an efficient random sampling baseline and by several orders of magnitude over state of the art methods that train specialized per query surrogate models. ExSample is thus a key component in building cost efficient video data management systems.
Anomaly based Intrusion Detection Using Auto encoder
Venue: 2019 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Year: 2019

Intrusion detection systems do not perform well when it comes to detecting new attacks. Therefore improving their performance in that regard is an active research topic. In this study, to detect unknown attacks with high accuracy, we have proposed an anomaly detection model based on auto encoder. Generally speaking, the key factor that directly affects the accuracy of the proposed relevant anomaly detection models, is the threshold value estimation. For this reason, we propose an efficient anomaly detection model based on Auto encoder and novel thresholding procedure, using training data reconstruction error percentiles and parameters fine tuning, rather than the relevant state of the art thresholding approaches in the current literature. The proposed method has been evaluated and compared to the widely used anomaly detection thresholding methods, on the KDDCUP'99 network traffic connections testing and training sets. Our experimental results have demonstrated that our method has outperformed the other methods, in term of classification performance, with amelioration of up to 7% of the Area Under the ROC Curve.
Best Approximate of Vector Space Model by Using SVD
Year: 2018

A quick growth of internet technology makes it easy to assemble a huge volume of data as text document; e. g. journals, blogs, network pages, articles, email letters. In text mining application, increasing text space of datasets represent excessive task which makes it hard to pre processing documents in efficient way to prepare it for text mining application like document clustering. The proposed system focuses on pre processing document and reduction document space technique to prepare it for clustering technique. The mutual method for text mining problematic is vector space model (VSM) each term represent a features. Thus the proposed system create vector space mod el by using pre processing method to reduce of trivial data from dataset. While the hug dimen sionality of VSM is resolved by using low rank SVD. Experiment results show that the proposed system give better document representation results about 10% from previous approach to prepare it for document clustering
Cultural factors affecting behavior guidance and family compliance.
Venue: Pediatric dentistry
Year: 2014

Culturally effective care is all about relationships and these involve interpersonal interactions with patients and parents from diverse cultures. Important aspects of effective cultural care include understanding and respecting the role of family, the concept of time, the social structure, and the concept of fate in health. This overview will give examples of some cultural issues and offer basic skills in communication and tips for working with an interpreter. Skills such as ask tell ask, teach back, the explanatory model using the four C's of culture, and motivational interviewing are discussed. The goal of these strategies is to build strong supportive relationships needed to support change in behavior and optimal dental health.