nils-herrmann/clean_scirepeval huggingface dataset:
Crisis Management on the Basis of the Marketing Approach for Development of Innovative Potential of the Organization
Year: 2016

This article describes the problem of efficiency of functioning of the organization in modern conditions of dynamic external environment. Modern external environment characterized by financial instability, lower incomes, economic constraints in relation to Russia, as well as constantly changing consumer preferences caused by other factors. In such circumstances, it becomes important domestic market. Close attention should be paid to the innovative capacity of organizations in the predominant direction of innovative development of the Russian economy as a whole to deal with these unstable conditions. Describes the factors the marketing environment the organization's operations and their impact on its activities. The authors propose a methodology of determining the stability of the organization based on the analysis of environmental factors. This method may be supplemented in the study and to identify other factors of importance in the organization. The authors also proposed the algorithm of marketing management organization based on the assessment of the stability of the organization at this point in time and compare it with the desired level of stability. If defined an unsustainable situation, it is necessary to take measures of administrative influence, which is based in particular on innovation management in organization in order to achieve the desired level of stability.
Pitfalls and Best Practices in Algorithm Configuration
Venue: J. Artif. Intell. Res.
Year: 2019

Good parameter settings are crucial to achieve high performance in many areas of artificial intelligence (AI) such as propositional satisfiability solving, AI planning, scheduling, and machine learning (in particular deep learning) Automated algorithm configuration methods have recently received much attention in the AI community since they replace tedious, irreproducible and error prone manual parameter tuning and can lead to new state of the art performance. However, practical applications of algorithm configuration are prone to several (often subtle) pitfalls in the experimental design that can render the procedure ineffective. We identify several common issues and propose best practices for avoiding them. As one possibility for automatically handling as many of these as possible, we also propose a tool called GenericWrapper4AC.
Symmetric Regularization based BERT for Pair wise Semantic Reasoning
Venue: SIGIR
Year: 2020

The ability of semantic reasoning over the sentence pair is essential for many natural language understanding tasks, e.g. natural language inference and machine reading comprehension. A recent significant improvement in these tasks comes from BERT. As reported, the next sentence prediction (NSP) in BERT is of great significance for downstream problems with sentence pair input. Despite its effectiveness, NSP still lacks the essential signal to distinguish between entailment and shallow correlation. To remedy this, we propose to augment the NSP task to a multi class categorization task, which includes previous sentence prediction (PSP) This task encourages the model to learn the subtle semantics, thereby improves the ability of semantic understanding. Furthermore, by using a smoothing technique, the scopes of NSP and PSP are expanded into a broader range which includes close but nonsuccessive sentences. This simple method yields remarkable improvement against vanilla BERT. Our method consistently improves the performance on the NLI and MRC benchmarks by a large margin, including the challenging HANS dataset.
Internet Addiction and Sleep Quality among Post Graduate Students
Year: 2021

The study intends to analyse internet addiction and sleep quality among post graduate students within 20 25 years of age group from different parts of Kerala. The sample includes 261 post graduate students were 78 males and 183 females. Internet Addiction Test (IAT) was developed by Young (1998) and it consists of 20 questions was adopted to evaluate the respondents' level of internet addiction of the selected sample and the Pittsburgh Sleep Quality Index (Buysse et.al. 1989) was used to assess the extent of sleep quality among the sample selected. Descriptive statistics, Mann Whitney U Test and Spearman's correlation test was used to study the data. The findings showed there was no significant relationship between internet addiction and sleep quality among post graduate students. The study further revealed that there is no significant difference between internet addiction and sleep quality of males and females.
The mobility of the future 'believes' in the past The iron cage of technology
Year: 2013

This paper aims to highlight the unbroken role and the increasing centrality that technological solutions play for coping with, e.g. environmental problems, in transport and mobility foresights since the 1970. Within the last four decades, technology was increasingly believed to solve the arising transportation dilemma of (politically intended) growth related increase of mobility, and ever rising negative side effects of pollution, congestion or accidents. Since that time the expectations of technology have been rising from merely providing mobility, to mitigating its negative effects, and to finally compensating future's uncertainty. But although new fuel technologies and efficiency increases have been continuously propagated and favoured against radical modal shift or mobility avoiding concepts, throughout the last four decades we today mostly see the business as usual model in the transportation field. Instead of enlarging the future transport debate with different approaches, politicians, planners and the public are assumed to commonly believe in the positive connotation of technology as a promising remedy for almost all problems. As a result, high technology approaches most often outweigh more efficient low tech solutions for the reason of not having to face the necessity of lifestyle or behavioural changes, or to gain more symbolic values from connotations of progress and modernity. A discussion about reducing mobility as a whole seems to be unimaginable, while modal shift approaches towards more public transport remain marginal in effect compared to the traditional car motorization. Thus, the transport and mobility field, underpinned by a hidden consensus of policy makers, industrialists and the public, still seems to be caught in an 'iron cage' of technology and seems to have a tendency of waiting for a 'train that never arrives'
DExt oo8 Diferencas e similaridades entre dois sistemas de sensores digitais radiograficos intra orais: placa de fosforo e CMOS
Year: 2017

O avanco da tecnologia permitiu que a Radiologia Odontologica evoluisse para o sistema digital, que eliminou o processamento por meio de produtos quimicos e otimizou o tempo clinico. No entanto, o operador necessita manipular cada sistema digital, considerando as similaridades e diferencas para o melhor uso em clinica. O principal objetivo do presente trabalho foi discutir a tecnica dos dois tipos de sensores digitais disponiveis no Setor de Radiologia da FOA UNESP. Os dois sistemas foram comparados de modo que fossem analisadas suas similaridades desde o momento do posicionamento intrabucal, processamento da imagem ate o armazenamento, e tambem considerando o custo da implantacao de cada sistema. Os sistemas comparados foram o de placa de fosforo (Instrumentarium(r) e CMOS sensor com cabo (MicroImagem(r) Os posicionadores para o sistema CMOS sao diferentes dos utilizados nas radiografias convencionais. O processamento da imagem das placas de fosforo necessita de um aparelho de escaneamento adicional de alto custo, e e passivel de erro durante a manipulacao. Por sua vez, o sistema CMOS tem a imagem formada de forma imediata e concomitante ao disparo do aparelho de raios X, mas necessita de maior cuidado para a insercao do conjunto posicionados sensor na cavidade bucal do paciente. Conclui se que a placa de fosforo representa o sistema de implantacao de maior custo, mas e o sistema mais confortavel para o paciente e mais semelhante, em relacao ao posicionamento, as radiografias com filme. O sistema CMOS e mais barato e a visualizacao da imagem e imediata. Ambos permitem armazenamento e edicao da imagem radiografica em computadores.  Radiologia; Sistemas de Informacao em Radiologia; Radiografia Dentaria Digital.
Security Considerations for Future Hosting of the Commonwealth Games in Abuja, Nigeria
Year: 2013

This paper highlights the importance of security as a major factor to be considered for a successful staging and hosting of future Common Wealth Games in Abuja. Having been denied the hosting right of the 2014 Commonwealth Games which some considered is on security grounds and the socioeconomic benefit loss on that account, the paper aimed at studying the level of insecurity in Abuja a potential future host city the types of crimes that are prevalent, and the security threats that are associated with the hosting of a mega event with the view of recommending possible physical planning measures to prepare the city for future mega event hosting. Secondary data sources were used in data collection which were related to current events in the city with which the authors are familiar. The study result shows that robbery, fraud and car theft are the three major crimes in Abuja with fraud being the most common. The paper also reveals that Abuja is over policed, under secured but with improving security situation by the day. Road construction, use of road signs and traffic light as well as increased security consciousness are responsible for the improvement in the security situation. Bearing in mind that Mega events from past experience were found to be vulnerable to terrorist attack, the paper recommends the use of Crime Prevention Through Environmental Design (CPTED) in the design and provision of infrastructure in all possible future venues of Mega events in the city, especially areas used for sports, accommodation, transportation, tourism and parking lots. The paper further recommends good governance, private public sector partnership in facilities management, and an efficient urban land use planning and infrastructure development as the components that should be properly harnessed in order to achieve adequate security in the study area.
Foundations of human computing: facial expression and emotion
Venue: ICMI '06
Year: 2006

Many people believe that emotions and subjective feelings are one and the same and that a goal of human centered computing is emotion recognition. The first belief is outdated; the second mistaken. For human centered computing to succeed, a different way of thinking is needed.Emotions are species typical patterns that evolved because of their value in addressing fundamental life tasks[19] Emotions consist of multiple components that may include intentions, action tendencies, appraisals, other cognitions, central and peripheral changes in physiology, and subjective feelings. Emotions are not directly observable, but are inferred from expressive behavior, self report, physiological indicators, and context. I focus on expressive behavior because of its coherence with other indicators and the depth of research on the facial expression of emotion in behavioral and computer science. In this paper, among the topics I include are approaches to measurement, timing or dynamics, individual differences, dyadic interaction, and inference. I propose that design and implementation of perceptual user interfaces may be better informed by considering the complexity of emotion, its various indicators, measurement, individual differences, dyadic interaction, and problems of inference.
Extracting surface wave dispersion curves from asynchronous seismic stations: method and application
Year: 2021

Correlation of the coda of Empirical Green's functions (EGFs) from ambient noise can be used to reconstruct EGFs between two seismic stations deployed different periods of time. However, such method requires a number of source stations deployed in the area surrounding a pair of asynchronous stations, which limit its applicability in cases where there are not so many available source stations. Here, we propose an alternative method, called two station C2 method, which uses one single station as a virtual source to retrieve surface wave phase velocities between a pair of asynchronous stations. Using ambient noise data from USArray as an example, we obtain the interstation C2 functions using our C2 method and the traditional cross correlation functions (C1 functions) We compare the differences between the C1 and C2 functions in waveforms, dispersion measurements, and phase velocity maps. Our results show that our C2 method can obtain reliable interstation phase velocity measurements, which can be used in tomography to obtain reliable phase velocity maps. Our method can significantly improve ray path coverage from asynchronous seismic arrays and enhance the resolution in ambient noise tomography for areas between asynchronous seismic arrays.
Reinforcement Learning for Abstractive Question Summarization with Question aware Semantic Rewards
Venue: ACL/IJCNLP
Year: 2021

The growth of online consumer health questions has led to the necessity for reliable and accurate question answering systems. A recent study showed that manual summarization of consumer health questions brings significant improvement in retrieving relevant answers. However, the automatic summarization of long questions is a challenging task due to the lack of training data and the complexity of the related subtasks, such as the question focus and type recognition. In this paper, we introduce a reinforcement learning based framework for abstractive question summarization. We propose two novel rewards obtained from the downstream tasks of (i) question type identification and (ii) question focus recognition to regularize the question generation model. These rewards ensure the generation of semantically valid questions and encourage the inclusion of key medical entities/foci in the question summary. We evaluated our proposed method on two benchmark datasets and achieved higher performance over state of theart models. The manual evaluation of the summaries reveals that the generated questions are more diverse and have fewer factual inconsistencies than the baseline summaries. The source code is available here: https: /github.com/shwetanlp/CHQ Summ.
Towards a Data Warehouse Architecture for Managing Big Data Evolution
Venue: DATA
Year: 2018

The problem of designing data warehouses in accordance with user requirements and adapting its data and schemata to changes in these requirements as well as data sources has been studied by many researchers worldwide in the context of relational database environments. However, due to the emergence of big data technologies and the necessity to perform OLAP analysis over big data, innovative methods must be developed also to support evolution of data warehouse that is used to analyse big data. Therefore, the main objective of this paper is to propose a data warehousing architecture over big data capable of automatically or semi automatically adapting to user needs and requirements as well as to changes in the underlying data
Understanding Alzheimer's Disease through Graph Theory
Year: 2020

We know that functional and structural organization is altered in human brain network due to Alzheimer's disease. In this paper we highlight how Graph Theory techniques, its structural parameters like connectivity, diameter, vertex centrality, betweenness centrality, clustering coefficient, degree distribution, cluster analysis and graph cores are involved to analyse magnetoencephalography data to explore functional network integrity in Alzheimer's disease affected patients. We also record that both weighted and unweighted undirected/directed graphs depending on functional connectivity analysis with attention to connectivity of the network and vertex centrality, could model and provide explanation to loss of links, status of the hub in the region of parietal, derailed synchronization in network and centrality loss at the vital left temporal region that is clinically significant were found in cases carrying Alzheimer's disease. We also notice that graph theory driven measures such as characteristic path length and clustering coefficient could be used to study and report a sudden electroencephalography effect in Alzheimer's disease through entropy of the cross sample. We also provide adequate literature survey to demonstrate the latest and advanced graphical tools for both graph layouts and graph visualization to understand the complex brain networks and to unravel the mysteries of Alzheimer's disease.
Adherence to Antiretroviral Therapy (ART) in Yaounde Cameroon: Association with Opportunistic Infections, Depression, ART Regimen and Side Effects
Venue: PloS one
Year: 2017

Following global efforts to increase antiretroviral therapy (ART) access in Sub Saharan Africa, ART coverage among HIV infected Cameroonians increased from 0% in 2003 to 22% in 2014. However, the success of current HIV treatment programs depends not only on access to ART, but also on retention in care and good treatment adherence. This is necessary to achieve viral suppression, prevent virologic failure, and reduce viral transmission and HIV/AIDS related deaths. Previous studies in Cameroon showed poor adherence, treatment interruption, and loss to follow up among HIV+ subjects on ART, but the factors that influence ART adherence are not well known. In the current cross sectional study, patient/self reported questionnaires and pharmacy medication refill data were used to quantify ART adherence and determine the factors associated with increased risk of non adherence among HIV infected Cameroonians. We demonstrated that drug side effects, low CD4 cell counts and higher viral loads are associated with increased risk of non adherence, and compared to females, males were more likely to forego ART because of side effects (p<0.05) Univariate logistic regression analysis demonstrated that subjects with opportunistic infections (on antibiotics) had 2.42 times higher odds of having been non adherent (p<0.001) Multivariable analysis controlling for ART regimen, age, gender, and education showed that subjects with opportunistic infections had 3.1 times higher odds of having been non adherent (p<0.0003) with significantly longer periods of non adherence, compared to subjects without opportunistic infections (p 0.02) We further showed that compared to younger subjects =40 years) older subjects >40 years) were less likely to be non adherent (p<0.01) and had shorter non adherent periods (p<0.0001) The presence of depression symptoms correlated with non adherence to ART during antibiotic treatment (r 0.53, p 0.04) and was associated with lower CD4 cell counts (p 0.04) and longer non adherent periods (p 0.04) Change in ART regimen was significantly associated with increased likelihood of non adherence and increased duration of the non adherence period. Addressing these underlying risk factors could improve ART adherence, retention in care and treatment outcomes for HIV/AIDS patients in Cameroon.
Satira, letteratura, critica d'arte: motivi e temi della poesia comico burlesca di Anton Francesco Grazzini detto il Lasca
Year: 2014

La tesi si propone di analizzare alcuni dei temi propri della poesia comico burlesca presenti nella produzione di Anton Francesco Grazzini detto il Lasca, poeta fiorentino del XVI secolo ed esponente di primo piano dell'Accademia degli Umidi. Uomo capace di affiancare all'attivita compositiva quella editoriale, il Lasca si riconobbe pienamente nel genere burlesco, traducendo in versi beffardi e pungenti quanto derivava dalle esperienze letterarie o dall'osservazione della realta cittadina.
Gas turbine blade manufacturing by use of epoxy resin tooling and silicone rubber molding techniques
Year: 2011

Conventional investment casting of turbine blades is a time consuming and expensive process due to the complications in wax injection steps and the complex shape of airfoil surfaces. By using rapid investment casting, a substantial improvement in the gas turbine blade manufacturing process can be expected. However, this process needs to be able to compete with conventional investment casting from a dimensional accuracy view of point. The purpose of this paper is to investigate the manufacture of gas turbine blades via two indirect rapid tooling (RT) technologies, namely epoxy (EP) resin tooling and silicon rubber molding. The second stage blade of a Ruston TA 1750 gas turbine (rated at 1.3 MW) was digitized by a coordinate measuring machine. The aluminum filled EP resin and silicon rubber molds were fabricated using StereoLithography master models. Several wax patterns were made by injection in the EP resin and silicone rubber molds. These wax patterns were utilized
Interpretable Sequence Learning for COVID 19 Forecasting
Venue: NeurIPS
Year: 2020

We propose a novel approach that integrates machine learning into compartmental disease modeling to predict the progression of COVID 19. Our model is explainable by design as it explicitly shows how different compartments evolve and it uses interpretable encoders to incorporate covariates and improve performance. Explainability is valuable to ensure that the model's forecasts are credible to epidemiologists and to instill confidence in end users such as policy makers and healthcare institutions. Our model can be applied at different geographic resolutions, and here we demonstrate it for states and counties in the United States. We show that our model provides more accurate forecasts, in metrics averaged across the entire US, than state of the art alternatives, and that it provides qualitatively meaningful explanatory insights. Lastly, we analyze the performance of our model for different subgroups based on the subgroup distributions within the counties.
Black's educational law and formal education in Brazil
Year: 2016

This article is the result of seeking to investigate and understand the process of implementation of educational laws that act on black lives in the formal education process. It shows the gap between the proclaimed and planned and the reality. Thus, we understand that the laws studied here represent a movement of tension towards the curriculum and the school democratization, because it allows that less visible and valued populations in this institution and in their social practices are recognized in their stories, express themselves actively participate in the constant construction and reconstruction of school routine.
Edge feature based approach for object recognition
Venue: Pattern Recognition and Image Analysis
Year: 2016

We address the problem of recognizing the object with distinctive edge features. For this purpose, a recognition approach based on local edge features is presented. First the edge features are detected in each image, and then its descriptor is computed to find the match features. Each match will give a vote with location, scale and orientation of the object. The recognition result can be found in the densest position in the vote space. Experimental results show that the presented method is robust and effective to the object with distinctive edge features.