nils-herrmann/clean_scirepeval huggingface dataset:
Splitting schemes for a Lagrange multiplier formulation of FSI with immersed thin walled structure: stability and convergence analysis
Venue: ArXiv
Year: 2020

The numerical approximation of incompressible fluid structure interaction problems with Lagrange mul tiplier is generally based on strongly coupled schemes. This delivers unconditional stability but at the expense of solving a computationally demanding coupled system at each time step. For the case of the coupling with immersed thin walled solids, we introduce a class of semi implicit coupling schemes which avoids strongly coupling without compromising stability and accuracy. A priori energy and error estimates are derived. The theoretical results are illustrated through numerical experiments in an academic benchmark.
A design and dispatch optimization algorithm based on mixed integer linear programming for rural electrification
Year: 2019

Off grid microgrids constitute an increasingly viable alternative to grid extension for rural electrification. Thanks to significant reductions in hardware cost, energy cost for off grid users in areas sparsely covered by the national grid has become competitive with grid connection once infrastructural costs are accounted for. Microgrids offer advantages also from an environmental and social point of view, featuring generation systems with high renewable penetration and facilitating the involvement of local communities in development projects. To further enhance microgrids economic competitiveness, it is necessary to devise innovative control strategies and design algorithms, that can ensure an optimal operating performance at the lowest overall cost. In this paper we present a new predictive design and dispatch optimization algorithm based on Mixed Integer Linear Programming (MILP) The new method is compared to a previously developed heuristic methodology, applying both to the design and yearly performance estimation of local microgrids, characterized on the basis of real data relative to a sub Saharan African region. The potential advantages of including the proposed microgrid design method in a regional electrification planning model are illustrated in a realistic case example.
Providing remedial support to primary school learners within their zone of proximal development
Venue: South African Journal of Childhood Education
Year: 2019

One of the methods receiving the current attention in addressing poor performance and low learning achievements among lower primary school learners is through remedial teaching. The approach to provide remedial support was informed by Vygotsky's social development theory. The objective of this study was to support primary school learners who failed with ungraded symbols in their first school term to obtain better passing symbols at the end of Term 2 and Term 3.Setting: An intervention was carried out in 2016 academic year to provide remedial support to learners who were enrolled at Catholic AIDS Action Tonateni Centre in Oshakati town, Namibia. Quantitative approach and descriptive design methods were used in this study. The first school term results were used as a baseline. A total of 12 learners (five boys and seven girls) from Grades 1 to 7 were randomly selected to participate in the remedial class. Data collection instruments included learners' school reports, homework books, class exercise books and test books. Statistical Package for Social Sciences was used to analyse descriptive statistics, namely, frequencies and percentages. Results showed that the participating learners obtained better passing symbols in the three identified subjects: Oshindonga first language, English second language and mathematics as depicted in their Term 2 and Term 3 school reports. Remedial support demonstrated that learners who performed with poor symbols at the end of their first school term could still obtain better passing symbols in the second and third term provided they are supported to improve in their areas of learning difficulties.
Relevanz stereotaktischer ablativer Strahlentherapie bei systemisch metastasierten Patienten
Venue: Strahlentherapie und Onkologie
Year: 2019

Fragestellung und Hintergrund Patienten mit einer metastasierten Tumorerkrankung konnen dank zahlreicher neuer Erkenntnisse uber die Tumorbiologie und immunologie sowie in den letzten Jahren neu zugelassener Medikamente oftmals erheblich besser therapiert werden als fruher. Dennoch schreitet die Erkrankung unter vielen der aktuell verfugbaren systemischen Behandlungen irgendwann fort. Es ist mehrfach postuliert worden, dass eine zusatzliche Lokaltherapie aller bekannten Tumormanifestationen dieses Risiko der Progression gunstig beeinflussen konnte, insbesondere wenn keine diffusen Mikrometastasen vorliegen und wenn nur wenige Makrometastasen detektierbar sind. Die Oligometastasierung als potenziell heilbares Stadium wurde in der vorliegenden prospektiven Studie, die eine stereotaktische ablative Strahlentherapie (SABR) untersuchte, wie folgt definiert: maximal 5 Metastasen (3 davon in einem Organ) kontrollierter Primartumor
Cross Validation and Non Parametric K Nearest Neighbour Estimation
Year: 2006

In this paper we consider the problem of estimating a non parametric regression function using the k nearest neighbour method. We provide asymptotic theories for the least squares cross validation (CV) selected smoothing parameter k for both local constant and local linear estimation methods. We also establish the asymptotic normality results for the resulting non parametric regression function estimators. Some limited Monte Carlo experiments show that the CV method performs well in finite sample applications.
F UNCTIONAL VS PARAMETRIC EQUIVALENCE OF R E LU NETWORKS
Year: 2019

We address the following question: How redundant is the parameterisation of ReLU networks? Specifically, we consider transformations of the weight space which leave the function implemented by the network intact. Two such transformations are known for feedforward architectures: permutation of neurons within a layer, and positive scaling of all incoming weights of a neuron coupled with inverse scaling of its outgoing weights. In this work, we show for architectures with non increasing widths that permutation and scaling are in fact the only function preserving weight transformations. For any eligible architecture we give an explicit construction of a neural network such that any other network that implements the same function can be obtained from the original one by the application of permutations and rescaling. The proof relies on a geometric understanding of boundaries between linear regions of ReLU networks, and we hope the developed mathematical tools are of independent interest.
Identifying Reversible Circuit Synthesis Approaches to Enable IP Piracy Attacks
Venue: 2017 IEEE International Conference on Computer Design (ICCD)
Year: 2017

Reversible circuits are vulnerable to intellectual property and integrated circuit piracy. To show these vulnerabilities, a detailed understanding on how to identify the function embedded in a reversible circuit is crucial. To obtain the embedded function, one needs to know the synthesis approach used to generate the reversible circuit in the first place. We present a machine learning based scheme to identify the synthesis approach using telltale signs in the design.
An exact analysis on transient radiative chemically reactiveflow in porous media with soreteffect
Year: 2014

An analysis is carried out to study the parametric influences of thermal radiation and first order chemical reaction on a two dimensional unsteady heat and mass transfer flow of Newtonian viscous incompressible fluid past an oscillating plate with Soret effect. It is observed that, the temperature and the fluid velocity decrease due to increase in Peclet number (Pe) whereas the concentration as well as the velocity is found to decrease as mass transfer Peclet number m Pe increases. It is also seen that, the vorticity vector of fluid particles increases due to increase in frequency parameter and time but found to decrease as mass transfer Peclet number increases.  1 August 2014;
Code switching and pausing: an interdisciplinary study
Year: 2013

This study considers code switching (CS) and pausing in two sociolinguistically distinct groups in London and Cyprus, bilingual in Greek Cypriot Dialect (GCD) and English. The characteristics of their speech are examined both in monolingual and bilingual modes (Grosjean, 2001) It was hypothesised that in London Greek Cypriots, where CS is a 'default mode' pausing behaviour would be affected by the same factors as in monolinguals, but not by CS. In Cyprus, on the other hand, where CS serves specific discourse functions, overall fluency was expected to be negatively affected by the more marked character of the alternation. Results revealed that CS has no significant effect on pausing in either context. Conversational motives, along with lexical, grammatical and processing issues, are the determining factors in bilingual, as well as monolingual, pausing. Despite the lack of difference found here between the two groups, we conclude that sociolinguistic and discourse variables should form an essential element in attempts to model bilingual speech production.
Feasibility of ambient vibration screening by periodic geofoam filled trenches
Year: 2018

However, investigations on the application of multiple rows of in filled trenches are very limited. This paper investigates the attenuation of surface waves by periodic geofoam filled trenches in single phased elastic soil deposits. First, a field test of train induced ground vibration is carried out, from which the corresponding acceleration record and main frequency are obtained. Second, attenuation zones for surface waves in periodic geofoam filled trenches are studied based on the periodic theory of solid state physics. Finally, a numerical model for ambient vibration isolation is built under the conditions of plane strain, and the responses are performed both in frequency domain and in time domain by finite element method. The screening effectiveness of the proposed wave barrier is studied by conducting an extensive dimensionless parameter investigation. Results show that the proposed periodic geofoam filled trenches can attenuate surface waves effectively, when the frequencies of surface waves are located in the attenuation zones. The present study provides a new concept for designing periodic in filled trench barriers to mitigate ground vibrations.
Work situation and professional role for midwives at a labour ward pre and post implementation of a midwifery model of care A mixed method study
Venue: International journal of qualitative studies on health and well being
Year: 2020

To explore and analyse the experience of work situation and professional role for midwives at a labour ward pre and post the implementation of a midwifery model of care (MiMo)  A simultaneous mixed method was used. The qualitative core component departed from three focus group interviews (n 16 midwives) Secondary inductive and deductive content analysis was performed using an unconstrained matrix to make a corresponding comparison of the different time points. The supplemental component was a quantitative survey about the work situation (n 58)  The qualitative results pre the implementation showed three categories: Balance between Women and Organization, Midwives Diverse as both Profession and Person, and Strained Work Situation. Post the intervention they transformed to Balance between Midwifery and Organization, Midwives An Adaptable Profession, Strained Work Situation, and a new category Ability to concretize midwifery was found. There were no significant differences in the measures of work situation in the quantitative analyses.  The synthesized findings based on the qualitative part show that MiMo has a potential to strengthen the professional role and midwifery practice. As such, MiMo has the capability to offer benefits to the labour wards with additional considerations.
Surviving Sepsis Campaign International Guidelines for the Management of Septic Shock and Sepsis Associated Organ Dysfunction in Children
Venue: Pediatric critical care medicine a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies
Year: 2020

Supplemental Digital Content is available in the text.  To develop evidence based recommendations for clinicians caring for children (including infants, school aged children, and adolescents) with septic shock and other sepsis associated organ dysfunction.  A panel of 49 international experts, representing 12 international organizations, as well as three methodologists and three public members was convened. Panel members assembled at key international meetings (for those panel members attending the conference) and a stand alone meeting was held for all panel members in November 2018. A formal conflict of interest policy was developed at the onset of the process and enforced throughout. Teleconferences and electronic based discussion among the chairs, co chairs, methodologists, and group heads, as well as within subgroups, served as an integral part of the guideline development process.  The panel consisted of six subgroups: recognition and management of infection, hemodynamics and resuscitation, ventilation, endocrine and metabolic therapies, adjunctive therapies, and research priorities. We conducted a systematic review for each Population, Intervention, Control, and Outcomes question to identify the best available evidence, statistically summarized the evidence, and then assessed the quality of evidence using the Grading of Recommendations Assessment, Development, and Evaluation approach. We used the evidence to decision framework to formulate recommendations as strong or weak, or as a best practice statement. In addition, "in our practice" statements were included when evidence was inconclusive to issue a recommendation, but the panel felt that some guidance based on practice patterns may be appropriate.  The panel provided 77 statements on the management and resuscitation of children with septic shock and other sepsis associated organ dysfunction. Overall, six were strong recommendations, 52 were weak recommendations, and nine were best practice statements. For 13 questions, no recommendations could be made; but, for 10 of these, "in our practice" statements were provided. In addition, 49 research priorities were identified.  A large cohort of international experts was able to achieve consensus regarding many recommendations for the best care of children with sepsis, acknowledging that most aspects of care had relatively low quality of evidence resulting in the frequent issuance of weak recommendations. Despite this challenge, these recommendations regarding the management of children with septic shock and other sepsis associated organ dysfunction provide a foundation for consistent care to improve outcomes and inform future research.
Measuring hospital efficiency in Belize: a data envelopment analysis approach
Year: 2011

Measuring Hospital Efficiency in Belize: A Data Envelopment Analysis Approach Author: Lily Jamini Guerra Advisor: Yi Hsin Elsa Hsu Ph.D. Associate Professor Providing efficient health care has become the primary focus within health systems therefore prompting health officials or authorities to develop health reforms. The Government of Belize (GOB) the financial mediator of health care in Belize, presented its New Health Care Reform in 2001. This entailed a decentralized system with the establishment of 4 health regions headed by a Regional Health Manager who possesses managerial autonomy. Up to date, no sort of evaluation has been conducted to assess the performance of these public facilities. Hence, this study aims to evaluate the 7 public hospitals in Belize from 2001 2008, evaluates any performance variations among the 4 regional management system within this period and proposes new approaches for controlling costs and improving quality to health managers, policy makers, and respective governmental bodies. Data Envelopment Analysis (DEA) a non parametric linear programming model, was used to measure the technical efficiencies (TE) of these 7 public hospitals for a 8 year period (2001 2008) The results yield a mean TE of 0.89, which means that more outputs could be produced with the present levels of inputs of hospitals. Descriptive statistics demonstrated an overall increase in both input and output variables within the 8 year study period. Increments include: 2% (BEDS) 23% (NS) 42% (PHYS) 237% (EXPEN) 7% (OUTPAT) and 18% (INPAT) A Kruskal Wallis Test was computed to certify any equality of population among median of the two independent groups, years and hospitals. The hospitals group yielded a P value of 0.001 indicating a statistical significance. Summarily, this study provides the first baseline mechanism pertaining to technical efficiency information which could be used by the respective governmental authorities in monitoring future efficiency performances. Policy makers could assist future researchers by modifying the indicators for the data collection process within hospital, regional, and ministerial levels for obtaining more concise datasets. In addition, this study can assist policy makers in identifying the medical resources' deployment policies by establishing a priority setting mechanism which would intermittently provide information on the needs of the hospitals. Acknowledgement of this study will undoubtedly enable the respective authorities within the Ministry of Health in offering efficient, equitable, and quality health services to all the people of Belize.
Incidence rates of Guillain Barre (GBS) chronic fatigue/systemic exertion intolerance disease (CFS/SEID) and postural orthostatic tachycardia syndrome (POTS) prior to introduction of human papilloma virus (HPV) vaccination among adolescent girls in Finland, 2002 2012
Venue: Papillomavirus research
Year: 2017

In Finland a vaccination programme against human papillomavirus (HPV) was introduced in November 2013 for girls aged 11 12 years with a catchup for girls 13 15 years. Allegations that HPV vaccine is causing Guillain Barre syndrome (GBS) and non specific diagnostic entities, such as chronic fatigue syndrome/systemic exertion intolerance disease (CFS/SEID) and postural orthostatic tachycardia syndrome (POTS) continue to surface. We examined population register based incidence rates of CFS/SEID, GBS and POTS to provide baseline data for future HPV vaccine safety evaluations.  First diagnosis of CFS/SEID, GBS and POTS in girls aged 11 15 years were obtained from the National Hospital Discharge Register during 2002 2012. We considered the following ICD 10 codes: G93.3 for CFS; G61.0 for GBS and G90.9, G90.8, G93.3, I49.8 for POTS. We calculated incidence rates per 100,000 person years with 95% confidence intervals (CI) Results In total, 9 CFS/SEID, 19 GBS and 72 POTS cases were identified. The overall incidence rate was 0.53/100,000 (95% CI; 0.27 1.01) for CFS/SEID, 1.11 (95% CI; 0.71 1.74) for GBS and 4.21 (95%CI; 3.34 5.30) for POTS. Significant relative increase in annual incidence rate with a peak in 2012 was observed in CFS/SEID (33% (95% CI; 3.0 70.3: p=0.029) and POTS (16.5% (95% CI; 7.8 25.9: p<0.05) but not in GBS (5.4% (95% CI; 8.4 21.3: p=0.460)  Our findings provide baseline estimates of CFS/SEID, GBS and POTS incidences in Finland. However, rates based on register data should be interpreted with caution, especially for non specific diagnostic entities for which internationally and even nationally agreed criteria are still being discussed. To assess the associations with HPV vaccine, methods using register linkage for cohort and self controlled case series should be explored in addition to factors contributing to patients seeking care, treating physicians setting the diagnoses, and their preference of using of codes for these clinical entities.
JoBimViz: A Web based Visualization for Graph based Distributional Semantic Models
Venue: ACL
Year: 2015

This paper introduces a web based visualization framework for graph based distributional semantic models. The visualization supports a wide range of data structures, including term similarities, similarities of contexts, support of multiword expressions, sense clusters for terms and sense labels. In contrast to other browsers of semantic resources, our visualization accepts input sentences, which are subsequently processed with languageindependent or language dependent ways to compute term context representations. Our web demonstrator currently contains models for multiple languages, based on different preprocessing such as dependency parsing and n gram context representations. These models can be accessed from a database, the web interface and via a RESTful API. The latter facilitates the quick integration of such models in research prototypes.
A framework for extractive text summarization using semantic graph based approach
Venue: NSysS
Year: 2019

Automatic extractive text summarization finds the subset of the data, which represent the most salient information of the entire document. Now a days in the era of Internet, it is a demand of the users to understand the huge amount of texts within a very short time, as there are lots of redundant unnecessary textual information in the webpages. Here comes the value of automatic extractive text summarization. Internet users get the idea of entire content of the document by reading summary generated by the summarizer within a very short time and also can decide whether to read the entire content or not. There are several methods for generating extractive summary such as clustering based, optimization based, information and itemset based, and word embedding based methods. These methods fail to determine the redundancy generated from the summary sentences. Therefore, in this paper, we propose a novel approach for generating extractive summary by considering semantic relationships among the sentences of the document.Here, we extract the Predicate Argument Structure (PAS) from each sentence and measure semantic distance among the sentences is measured from the PAS to PAS semantic relationship of the sentences. Then, we apply modified page rank algorithm to rank the sentences. Subsequently, we employ Maximum Marginal Relevance (MMR) method to rerank the sentences. Accordingly, we propose top n sentence selection algorithm is proposed to select summary sentences. To evaluate the performance of our proposed method, we adopt Rouge 1, Rouge 2 evaluation metrics for computing precision, recall, and f score of the summary. Furthermore, we also employ cosine simillarity measurement based approach to determine redundancy in the summary sentences. Our evaluation results demonstrate that the proposed approach achieves improved performance compared to the other existing methods available for generating an the extractive summary.
Inquiry Discovery Empowering High Order Thinking Skills and Scientific Literacy on Substance Pressure Topic
Year: 2018

Inquiry discovery learning plays an important role in improving high order thinking skills (HOTS) and scientific literacy (SL) In this HOTS and SL research, it was designed with Inquiry discovery based learning. The purpose of this study was to promote Inquiry discovery models in empowering higher order thinking skills and scientific literacy in physics with different classes. This research used Quasi Experimental Design research, and Pretest Posttest Control Group Design. The research analysis design matrix used two way ANOVA. The sample was taken from two classes, namely the experimental and control classes of 68 students. The results of the study prove that Inquiry discovery can improve HOTS and SL physics of students. Thus, inquiry discovery can be recommended to increase student's HOTS and SL physics when compared to conventional classes. The novelty of this study is that inquiry discovery learning models are more likely to reconstruct students' scientific knowledge of physics on aspects of HOTS and SL with real world life.