nils-herrmann/clean_scirepeval huggingface dataset:
Millennials watching Friends A case study into meaning making of the 90s sitcom Friends among the millennial generation.
Year: 2019

This study explores the case of millennials watching the popular sitcom Friends (1994 2004) with an emphasis on how they give meaning to the series in contemporary society. Friends is about six friends in their twenties, living in New York. The series has always been popular and available through reruns on broadcast television, but since it is available via Netflix, its popularity has grown, together with the critique on the series. And the most striking thing about this renewed interest in the series is that it mainly comes from people from the millennial generation, a new audience. This contemporary popularity of Friends can be explained as part of a bigger phenomenon, where a lot of 1970s, 1980s and 1990s television series get remakes, revivals, prequels and sequels. This study tries to explain this phenomenon, with a specific focus on the case of Friends by answering the research question: How do millennials give meaning to the 90s sitcom Friends in today's world? This study addresses theory from television studies, audience studies and more particular fan studies. The research that is conducted here consists of 13 qualitative, semi structured interviews with millennials between 19 and 23 years old. The data from these interviews was analysed using the thematic analysis method, five main themes were identified in this analysis. The study found that the motivations to watch Friends are mainly based on recommendations from others, and the easy storyline about the daily lives of the characters. The millennials did not identify with specific characters that much, but they could identify with the stage of life that the characters are in, which made the series overall recognizable for them. What they enjoyed a lot about the series is that it is from the 1990s. For the millennials, this created some sort of nostalgia towards this era even though they have not experienced this era very active themselves. Most of the interviewees even considered themselves fans of Friends and participated in other activities related to the series. Additionally, the preferred Friends over similar, more recent, comedy series like How I Met Your Mother and Modern Family. The reason why they preferred Friends is how they address societal themes and how it is easy to follow and watch when doing something else. When addressing the contemporary critique on the whiteness, and some of the jokes in the series they did not agree at all and argued that for them there were no problematic aspects to Friends. All these aspects together show how the millennials give meaning to Friends in today's society.
An Ontology Independent Representation Learning for Similar Disease Detection Based on Multi Layer Similarity Network
Venue: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Year: 2021

To identify similar diseases has significant implications for revealing the etiology and pathogenesis of diseases and further research in the domain of biomedicine. Currently, most methods for the measurement of disease similarity utilize either associations of ontological disease concepts or functional interactions between disease related genes. These methods are heavily dependent on the ontology, which are not always available, and the selection of datasets. Moreover, many methods suffer from a drawback that they only use a single metric to evaluate disease similarity from an individual data source, which may result in biased conclusions without consideration of other aspects. In this study, we proposed a novel ontology independent framework, namely RADAR, for learning representations for diseases to deduce their similarities from an integrative perspective. By leveraging the associations between diseases and disease related biomedical entities, a disease similarity network was built under various metrics. Then, a multi layer disease similarity network was constructed by integrating multiple disease similarity networks derived from multiple data sources, where the representation learning was derived to provide a comprehensive evaluation of disease similarities. The performance of RADAR was assessed by a benchmark disease set and 100 random disease sets. Experimental results demonstrated that RADAR can detect similar diseases effectively.
Deep Transfer Learning Based on Generative Adversarial Networks For SAR Target Recognition with label limitation
Venue: 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
Year: 2019

Driven by the large scale labeled dataset, convolutional neural networks(CNNs) have achieved great progress in optical image classification. Owing to the robust ability of image feature extracting, deep CNNs are also suitable for Synthetic Aperture Radar automatic target recognition(SAR ATR) tasks. However, the labeled SAR image sets are always too small, which often lead to a severe over fitting while training a deep CNNs. In this paper, we propose a novel transfer learning method with generative adversarial networks(GANs) to solve the above problem. Instead of training a deep neural network with the insufficient labeled dataset, we train a GAN using a large numbers of unlabeled SAR images to learn generic features. Then, the pre trained layers are reused to transfer the generic knowledge to specific recognition tasks through the fine tuning technique. The experimental results demonstrate that the transfer learning method has a particular performance improvement in SAR ATR tasks and has less performance degradation when the dataset becomes even smaller. The experimental results prove the feasibility of using GANs for transfer learning, which is important for further research to improve the performance of SAR ATR with label limited datasets.
Auto Target Tracking Robot Design Based on Smartphone
Year: 2016

This paper describes a robot tracking control design based on a smartphone using a commercial microprocessor. The system hardware consists of four major parts: an Android smartphone with an embedded camera, a Microchip microprocessor, a motor driver circuit and an Attacknid robot. First, an image of the surrounding environment is captured by the high definition camera embedded in the smartphone. The target is then recognized from the image using an algorithm developed in Android OS and OpenCV library. Third, motion control and laser activation strategies are achieved using the proposed algorithm implemented in Java. Fourth, the motion commands are delivered to the microchip processor through a USB interface. Finally, the processor produces a pulse width modulation (PWM) voltage to control the robot's motion and activate the laser diode according commands sent from the smart phone. Experimental results demonstrate the feasibility of this proposed architecture.
Exploring stakeholders' perceptions of the quality and governance of water resources in the Wenchi municipality
Venue: Journal of Environmental Planning and Management
Year: 2019

Despite increasing evidence that understanding and integrating local people's perceptions of water quality and governance helps improve water governance processes, only a limited volume of research addresses this topic in developing countries. Therefore, using in depth interviews and content analysis, the goal of this paper is to explore stakeholders' perceptions of the quality and governance of water resources in Wenchi, Ghana. Results show that stakeholders perceive river water quality to be deteriorating. Stakeholders' judgement of river quality is influenced by water use value, pollution sources, organoleptic properties and sanitary conditions of the riverbank. Stakeholders highlighted key areas that require authorities' efforts: formulation and enforcement of by laws, awareness raising, provision of financial, logistic and technical support, conducting research and community mobilisation. These findings need to be carefully reviewed and systematically integrated into expert views to advance our understanding of the problem, how best to address it and who to target during interventions.
Introduction: What is Strategy as Practice?
Year: 2012

Strategy as practice as a research approach Since early 2000 strategy as practice (SAP) has emerged as a distinctive approach for studying strategic management, strategic decision making, strategizing, strategy making and strategy work (Whittington 1996; Johnson, Melin and Whittington 2003; Jarzabkowski, Balogun and Seidl 2007) In recent years SAP research has confirmed its vitality and fulfilled its promise by being more lively than ever (Golsorkhi et al. 2010; Vaara and Whittington 2012; Balogun et al. 2014; Seidl and Whittington 2014) This second edition of the handbook confirms the strong enthusiasm for the generation of new ideas about the way practitioners are doing their strategy work. Strategy as practice research focuses on the micro level social activities, processes and practices that characterize organizational strategy and strategizing. This provides not only an organizational perspective into strategic decision making but also a strategic angle for examining the process of organizing, and thereby serves as a useful research programme and social movement for connecting contemporary strategic management research with practice oriented organizational studies. Strategy as practice can be regarded as an alternative to the mainstream strategy research via its attempt to shift attention away from a 'mere' focus on the effects of strategies on performance alone to a more comprehensive, in depth analysis of what actually takes place in strategy formulation, planning and implementation and other activities that deal with the thinking and doing of strategy. In other words, SAP research is interested in the 'black box' of strategy work that once led the research agenda in strategic management research (Mintzberg 1973; Mintzberg and Waters 1985; Pettigrew 1973) but has thereafter been replaced by other issues, not least because of the increasing dominance of the micro economic approach and a methodological preoccupation with statistical analysis. Because of its micro level focus, studies following the strategy as practice agenda tend to draw on theories and apply methods that differ from the common practices of strategy scholars. In this way, SAP research can contribute to the evolution of strategic management as a discipline and body of knowledge with new theories and methodological choices.
Internet of Things (IoT) Technologies, Architecture, Protocols, Security, and Applications: A Survey
Year: 2018

Internet of things (IoT) is a rapidly developing technology that connects various kinds of smart miniature things such as smart medical alert watches, smart vehicles, smart phones, smart running shoes, etc. Smart devices are connected through internet and can communicate to other smart devices in any part of the world in an automated manner. IoT environment often uses constrained devices with low energy, low processing capability, and low memory space. In order to prevent communication failure, a special kind of architecture is needed for IoT. This chapter presents a review of the basic architecture model, communication protocol of IoT, security aspects of IoT, and various IoT applications such as smart agriculture, water management, smart healthcare, smart home, smart industry, and smart vehicles.
Primary health care assessment tools: a literature review and metasynthesis.
Venue: Ciencia saude coletiva
Year: 2014

This study comprises a systematic review and metasynthesis of qualitative literature on national and international databases to identify the main tools used to assess Primary Health Care (PHC) A total of 3,048 results were returned for literature written in Portuguese, Spanish and English published between 1979 and 2013. Thirty three articles/studies were selected after thorough reading and analysis. Eight of these studies addressed the use of one or more of the following validated PHC assessment tools: the WHO Primary Care Assessment Tool (PCET) the ADHD Questionnaire for Primary Care Providers (AQ PCP) the General Practice Assessment Questionnaire (GPAQ) PACOTAPS (primary health care software) and the PCAT (Primary Care Assessment Tool) The study showed that the majority of these tools were used internationally. The PCAT and EUROPEP were used in Brazil and the most commonly used tool in this country was the PCAT. The results show that the use of research tools to assess PHC may assist in the creation of new proposals to improve family healthcare and that PCAT is the most adequate tool for this purpose.
Assessment of percutaneous intramedullary screw fixation in lateral malleolar ankle fractures
Venue: Journal of Medical Science And clinical Research
Year: 2019

To evaluate the outcome of using percutanous intramedullary screw and its efficacy on fixation of lateral malleolar ankle fractures.  Twenty five patients with Weber A and Weber B displaced lateral malleolus fractures were retrospectively reviewed after they had done closed reduction and percutaneous internal fixation with an intramedullary fully threaded screw with a washer. A 3.5 mm, fully threaded, selftapping bone screw. The length of the screw varies between 90 mm and 110 mm, depending on the fracture location and pattern.  All fractures united within an average time to union of 5.86 1.74 weeks. There were no deep wound infections or complaints of painful hardware. At latest follow up, functional results were excellent in 16 patients (64% good in 8 patients (32 fair in one patient (4%  Percutaneous intramedullary screw fixation is a good easy technique in management of lateral malleolar fracture that provides good clinical and radiological results as it is rapid, minimally invasive and without prominent hardware.
An Analysis Framework for Enterprise Knowledge Integration Based on WSR System Methodology
Venue: 2011 International Conference on Computer and Management (CAMAN)
Year: 2011

Based on reviews on existing knowledge integration researches, the paper introduces a WSR system methodology along with a three dimensional analysis framework comprising three elements in knowledge integration: the Wuli, Shili and Renli. The objective factors and the behavior based human factors in the process of knowledge integration are discussed from multiple perspectives of Wuli, Shili and Renli. The paper provides a theoretical foundation and guiding principle for promoting effective knowledge management.
Exocrine Pancreatic Insufficiency and Diabetes Mellitus
Year: 2016

Gastrointestinal symptoms are common in patients with diabetes mellitus. One possible cause for these symptoms is exocrine pancreatic insufficiency, and although several hypotheses have been proposed to explain the aetiology, the precise pathophysiological mechanisms remain to be elucidated. The prevalence and the clinical importance of exocrine pancreatic insufficiency are debatable. Exocrine pancreatic insufficiency has been confirmed in insulin dependent and non insulin dependent diabetes mellitus and might be related to diabetes mellitus duration. Considering the limitations of the tests, the test and patient selections in different studies have undoubtedly contributed to these conflicting results. Other likely causes are the underestimation of chronic pancreatitis and unrecognised pancreatogenic diabetes (type 3c diabetes mellitus) Because many studies have failed to relate the clinical symptoms of exocrine pancreatic insufficiency to a positive function test (e.g. faecal elastase 1 concentrations) and serum nutritional markers (as signs of malabsorption) were not been determined in all studies, the clinical importance of exocrine pancreatic insufficiency in patients with diabetes mellitus is also controversial. This review presents a critical analysis of the currently published literature on this topic, including the detailed limitations of the specific tests used to confirm exocrine pancreatic insufficiency.
Analise do Comportamento Aplicada em um Caso deDisfuncao Sexual Feminina.
Year: 2015

O presente estudo objetivou a modificacao de acoes inabeis relacionadas ao comportamento sexual, bem como dos relatos de insatisfacao com o parceiro e do uso de lubrificantes artificiais, por meio de intervencoes comportamentais gerais (instruir por meio de informacoes, fornecer feedbacks, hierarquizar tarefas, fornecer modelos e instrucoes e instruir o uso do reforcamento positivo) e especificas (ensinar o treino discriminativo das respostas corporais antes do coito e ensinar o treino discriminativo das respostas corporais durante o coito) Ainda objetivou avaliar os antecedentes e consequentes da disfuncao sexual relatada por uma participante do sexo feminino, de 26 anos e com parceiro fixo. A avaliacao funcional incluiu procedimentos indiretos por meio de uma entrevista e de um questionario. Tambem utilizou se de uma atividade de registro comportamental (auto observacao) Para demonstracao de que as intervencoes (variavel independente) e que produziram efeito sobre a variavel dependente, foi empregado o delineamento de tratamentos alternados do tipo (ABC) seguido por follow up. Os resultados demonstraram diminuicao dos comportamentosproblema e aumento de acoes habeis relacionadas ao comportamento sexual, de relatos de satisfacao com o parceiro e da resposta de lubrificacao vaginal.
Desain dan Purwarupa Fuzzy Logic Control untuk Pengendalian Suhu Ruangan
Year: 2017

Fuzzy Logic Control (FLC) merupakan salah satu metode pengendalian sistem yang saat ini banyak digunakan di beberapa disiplin ilmu, khususnya di bidang sistem kendali. Dalam perancangan FLC tidak diperlukan model matematis dari sistem yang akan dikendalikan. Hal ini menjadi salah satu keunggulan FLC sehingga perancangan pengendali lebih mudah dilakukan dengan hanya mengandalkan aturan logika. Pada makalah ini, akan dirancang FLC untuk sistem pendingin ruangan dan direalisasikan dalam bentuk prototype untuk kesederhanaan perancangan. Sistem ini memiliki masukan suhu ruangan dan banyaknya orang di ruangan, sedangkan keluarannya adalah tingkat pendinginan ruangan tersebut. Pengujian sistem ini dilakukan dengan membandingkan hasil keluaran pengendali melalui simulasi Fuzzy Logic Toolbox yang tersedia pada MATLAB. Dua unit purwarupa dirancang dengan sensor masukan yang berbeda sebagai perbandingan. Hasilnya menunjukkan bahwa purwarupa sistem pertama dan kedua mampu mengendalikan suhu ruangan dengan rata rata kesalahan berturut turut 1,31% dan 4,06% jika dibandingkan dengan simulasi MATLAB.
The Role of Vitamin E in Immunity
Venue: Nutrients
Year: 2018

Vitamin E is a fat soluble antioxidant that can protect the polyunsaturated fatty acids (PUFAs) in the membrane from oxidation, regulate the production of reactive oxygen species (ROS) and reactive nitrogen species (RNS) and modulate signal transduction. Immunomodulatory effects of vitamin E have been observed in animal and human models under normal and disease conditions. With advances in understating of the development, function, and regulation of dendritic cells (DCs) macrophages, natural killer (NK) cells, T cells, and B cells, recent studies have focused on vitamin E's effects on specific immune cells. This review will summarize the immunological changes observed with vitamin E intervention in animals and humans, and then describe the cell specific effects of vitamin E in order to understand the mechanisms of immunomodulation and implications of vitamin E for immunological diseases.
Thiol based redox switches in the major pathogen Staphylococcus aureus
Venue: Biological chemistry
Year: 2021

Staphylococcus aureus is a major human pathogen, which encounters reactive oxygen, nitrogen, chlorine, electrophile and sulfur species (ROS, RNS, RCS, RES and RSS) by the host immune system, during cellular metabolism or antibiotics treatments. To defend against redox active species and antibiotics, S. aureus is equipped with redox sensing regulators that often use thiol switches to control the expression of specific detoxification pathways. In addition, the maintenance of the redox balance is crucial for survival of S. aureus under redox stress during infections, which is accomplished by the low molecular weight (LMW) thiol bacillithiol (BSH) and the associated bacilliredoxin (Brx)/BSH/bacillithiol disulfide reductase (YpdA)/NADPH pathway. Here, we present an overview of thiol based redox sensors, its associated enzymatic detoxification systems and BSH related regulatory mechanisms in S. aureus, which are important for the defense under redox stress conditions. Application of the novel Brx roGFP2 biosensor provides new insights on the impact of these systems on the BSH redox potential. These thiol switches of S. aureus function in protection against redox active desinfectants and antimicrobials, including HOCl, the AGXX(r) antimicrobial surface coating, allicin from garlic and the naphthoquinone lapachol. Thus, thiol switches could be novel drug targets for the development of alternative redox based therapies to combat multi drug resistant S. aureus isolates.
Classification of Regional Radiographic Emphysematous Patterns Using Low Attenuation Gap Length Matrix
Year: 2009

The standard computer tomography based method for measuring emphysema uses percentage of area of low attenuation which is called the pixel index (PI) However, the PI method is susceptible to the problem of averaging effect and this causes the discrepancy between what the PI method describes and what radiologists observe. Knowing that visual recognition of the different types of regional radiographic emphysematous tissues in a CT image can be fuzzy, this paper proposes a low attenuation gap length matrix (LAGLM) based algorithm for classifying the regional radiographic lung tissues into four emphysema types distinguishing, in particular, radiographic patterns that imply obvious or subtle bullous emphysema from those that imply diffuse emphysema or minor destruction of airway walls. Neural network is used for discrimination. The proposed LAGLM method is inspired by, but different from, former texture based methods like gray level run length matrix (GLRLM) and gray level gap length matrix (GLGLM) The proposed algorithm is successfully validated by classifying 105 lung regions that are randomly selected from 270 images. The lung regions are hand annotated by radiologists beforehand. The average four class classification accuracies in the form of the proposed algorithm/PI/GLRLM/GLGLM methods are: 89.00%/82.97%/52.90%/51.36% respectively. The p values from the correlation analyses between the classification results of 270 images and pulmonary function test results are generally less than 0.01. The classification results are useful for a followup study especially for monitoring morphological changes with progression of pulmonary disease.
Smart Traffic Control System Using Green Energy
Venue: 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)
Year: 2018

Now days the rapidly increasing vehicles large time delays between traffic lights leads to wastage of fuel time. To overcome this problem, we go through smart traffic control system using green energy. The conventional traffic lights are works on fixed time period allotted to each side of junction which cannot be varied junction timing allotted are fixed In the smart traffic control system the traffic is controlled according to traffic density within the particular distance. This system is done using arduino mega interfaced with IR sensors timing at the junction changes automatically. This system comes under digital India campaign and supports Smart City Concept.