nils-herrmann/clean_scirepeval huggingface dataset:
Overweight and hypertension among college of health sciences employees in Ghana
Year: 2011

Healthcare workers, by virtue of their greater access to information, are expected to have less risk of obesity, hypertension, and other health outcomes often linked to lifestyles. However, there is limited evidence on practices and status of personnel who work in the healthcare setting about hypertension and overweight in Ghana. The current study tests the hypothesis that overweight and hypertension rates, as well as related risk factors among staff and faculty of the College of Health Sciences (CHS) University of Ghana, will be more positive than among the lay public. In June and July 2009, a cross sectional self completed survey was administered to 141 male and female faculty and staff of the College of Health Sciences, University of Ghana, in Accra. A representative sample was selected by proportionate random sampling from all seven academic and research units of the CHS. Anthropometry and blood pressure measurements were taken with questionnaire data on lifestyle, dietary history, and socio demographic variables. Overweight and obesity were diagnosed as BMI >25 and >30 kg/m2, respectively. Abdominal adiposity was estimated as waist hip ratio >0.80 (females) or >0.95 (males) Hypertension was diagnosed as diastolic or systolic blood pressure 140 or 90 mm Hg, respectively. Mean age of respondents was 40.5 10.8 years; 43% were over weight, including 13% obese. More than one third of overweight respondents did not report an overweight body image. Abdominal adiposity and hypertension rates were 25% and 34% respectively. Low rates of regular physical activity (25% and consumption of fruits and vegetables (40% were observed. Overweight (OR=3.83; p<0.01) and central adiposity (OR=4.8; p<0.01) were associated with significantly increased risk of hypertension. Being married was a significant predictor of overweight (p<0.05) abdominal adiposity (p<0.05) and hypertension (p<0.05) The study concludes that working in a healthcare environment or being a health worker does not diminish your risk of overweight and hypertension. It is, therefore, recommended that interventions addressing overweight and hypertension should place attention more on environmental modifications rather than awareness creation.
D3D HOI: Dynamic 3D Human Object Interactions from Videos
Venue: ArXiv
Year: 2021

We introduce D3D HOI: a dataset of monocular videos with ground truth annotations of 3D object pose, shape and part motion during human object interactions. Our dataset consists of several common articulated objects captured from diverse real world scenes and camera viewpoints. Each manipulated object (e.g. microwave oven) is represented with a matching 3D parametric model. This data allows us to evaluate the reconstruction quality of articulated objects and establish a benchmark for this challenging task. In particular, we leverage the estimated 3D human pose for more accurate inference of the object spatial layout and dynamics. We evaluate this approach on our dataset, demonstrating that human object relations can significantly reduce the ambiguity of articulated object reconstructions from challenging real world videos. Code and dataset are available at https:/github.com/facebookresearch/d3d hoi. Work done when interning at Facebook AI Research.
Baby Shampoo Versus Povidone Iodine or Isopropyl Alcohol in Reducing Eyelid Skin Bacterial Load.
Venue: Ophthalmic plastic and reconstructive surgery
Year: 2018

Baby shampoo is used as an alternative surgical skin preparation, but the evidence supporting its use is scarce with no descriptions of efficacy in the periocular region. The authors compare the efficacy of baby shampoo, povidone iodine (PI, Betadine) and isopropyl alcohol (IA) in reducing eyelid skin bacterial load.  Prospective, randomized, comparative, and interventional trial. Bacterial load on adult, human eyelid skin was quantitated before and after cleansing with 1) dilute baby shampoo, 2) 10% PI, or 3) 70% IA. Paired skin swabs were collected from a 1 cm area of the upper eyelid of subjects before and after a standardized surgical scrub technique. Samples were cultured on 5% sheep blood agar for 24 hours. The number of colony forming units (CFU) was assessed and bacterial load per square centimeter of eyelid skin was quantified.  Baseline and postcleansing samples were assessed from 42 eyelids of 42 subjects (n 14 for each of baby shampoo, PI, and IA) Before cleansing, similar amounts of bacterial flora were grown from all specimens (median log CFU/cm 2.04 before baby shampoo, 2.01 before PI, 2.11 before IA; p 0.05) All 3 cleansing agents significantly reduced the bacterial load (p 0.01 for each) There was no statistically significant difference in postcleansing bacterial load between the 3 cleansing agents (median log CFU/cm 0.48 after baby shampoo, 0.39 after PI, 0.59 after IA; p 0.05) Change from baseline in bacterial load was statistically similar for all 3 agents (median reduction in log CFU/cm 1.28 with baby shampoo, 1.57 with PI, 1.40 with IA; p 0.05) These corresponded to bacterial load reductions of 96.3% 96.6% and 98.4% for baby shampoo, PI, and IA, respectively.  Baby shampoo achieved comparable diminution in eyelid skin bacterial load to PI or IA. These data suggest baby shampoo may be an effective preoperative cleansing agent.
Research on Innovation: A Review and Agenda for Marketing Science
Year: 2006

Innovation is one of the most important issues in business research today. It has been studied in many independent research traditions. Our understanding and study of innovation can benefit from an integrative review of these research traditions. In so doing, we identify 16 topics relevant to marketing science, which we classify under five research fields: Consumer response to innovation, including attempts to measure consumer innovativeness, models of new product growth, and recent ideas on network externalities; Organizations and innovation, which are increasingly important as product development becomes more complex and tools more effective but demanding; Market entry strategies, which includes recent research on technology revolution, extensive marketing science research on strategies for entry, and issues of portfolio management; Prescriptive techniques for product development processes, which have been transformed through global pressures, increasingly accurate customer input, Web based communication for dispersed and global product design, and new tools for dealing with complexity over time and across product lines; Defending against market entry and capturing the rewards of innovating, which includes extensive marketing science research on strategies of defense, managing through metrics, and rewards to entrants. For each topic, we summarize key concepts and highlight research challenges. For prescriptive research topics, we also review current thinking and applications. For descriptive topics, we review key findings.
Stage financing and syndication in the IPO underpricing of venture backed firms: Venture capital and IPO underpricing
Venue: The International Journal of Entrepreneurship and Innovation
Year: 2019

The article investigates the impact of stage financing and syndication practices on the underpricing level of venture backed firms (VBFs) undertaking their initial public offerings (IPOs) This empirical study uses a unique hand collected data set concerning more than 260 VBFs that went public on Euronext Paris and Alternext between 1997 and 2013. Our findings suggest a lower level of underpricing for firms backed by syndicated venture capital investment. Additionally, we find that the syndicate size is negatively associated with the level of underpricing. However, there is no evidence that stage financing has a significant impact. Syndication thus appears to be the only relevant mechanism to improve IPO performance (measured by the underpricing level) as it reduces agency costs and information asymmetry between the different stakeholders in an IPO process.
The Social Network and the Crowdfund Act: Zuckerberg, Saverin and Venture Capitalists' Dilution of the Crowd
Year: 2012

By virtue of Title III of the JOBS Act, signed into law on April 5, 2012, crowdfunding could become a powerful, even revolutionary, force to finance start up companies. It democratizes entrepreneurs' access to seed capital and converts the masses of Internet users into potential retail venture capitalists. Many have cautioned, though, that crowdfunding poses serious investment risks of start up companies failing, committing fraud, and being mismanaged. Accordingly, the JOBS Act includes numerous disclosure obligations designed to mitigate such downside risks. But what has been overlooked, and what this Article analyzes from a venture capitalist perspective, is that even if a crowdfunded start up company is successful, crowdfunding investors can lose the value of their investment if they lack venture capital legal protections. When successful start up companies raise additional funds from professional venture capitalists, the value of ground floor investments can be severely diluted, as colorfully dramatized in The Social Network. In addition, when crowdfunded companies are acquired in private transactions, crowdfunders are at risk of being left out. Therefore, under a "qualitative mandates" regulatory philosophy that moves beyond securities law's status quo disclosure requirements, this Article proposes substantive venture capitalist protections for crowdfunding investors, such as down round anti dilution, tag along, and preemptive rights, to help safeguard the value of early stage investments in successful start up companies. Especially because many crowdfunding investors are likely to be inexperienced and unsophisticated in start up company investing, crowdfunding laws and regulations should go beyond disclosure requirements that warn investors of danger (to the extent investors even read or understand the disclosures) to help crowdfunders obtain market based economic protections characteristic of venture capitalist investment contracts.
Organizational Citizenship Behavior in the Public and Private Sectors: A Multilevel Test of Public Service Motivation and Traditional Antecedents
Year: 2020

Scholarly knowledge of organizational citizenship behavior (OCB) has developed significantly in the private and public sectors. However, comparisons between sectors have not been advanced. This article aims to address the gap with hierarchical linear modeling of OCB antecedents across sectors, accounting for individual and sector level differences. The results show a significant association between public service motivation (PSM) and OCB, as well as several other central correlates of OCB in the public sector: goal clarity, job satisfaction, and leader member exchange (LMX) In addition, although there are marginally higher levels of OCB in the public sector, the interaction effect of sector and PSM is not significant. This finding suggests the effect of PSM on OCB is important across sectors rather than solely being a function of public sector employment.
CIDO ontology updates and secondary analysis of host responses to COVID 19 infection based on ImmPort reports and literature
Venue: J. Biomed. Semant.
Year: 2021

With COVID 19 still in its pandemic stage, extensive research has generated increasing amounts of data and knowledge. As many studies are published within a short span of time, we often lose an integrative and comprehensive picture of host coronavirus interaction (HCI) mechanisms. As of early April 2021, the ImmPort database has stored 7 studies (with 6 having details) that cover topics including molecular immune signatures, epitopes, and sex differences in terms of mortality in COVID 19 patients. The Coronavirus Infectious Disease Ontology (CIDO) represents basic HCI information. We hypothesize that the CIDO can be used as the platform to represent newly recorded information from ImmPort leading the reinforcement of CIDO.  The CIDO was used as the semantic platform for logically modeling and representing newly identified knowledge reported in the 6 ImmPort studies. A recursive eXtensible Ontology Development (XOD) strategy was established to support the CIDO representation and enhancement. Secondary data analysis was also performed to analyze different aspects of the HCI from these ImmPort studies and other related literature reports.  The topics covered by the 6 ImmPort papers were identified to overlap with existing CIDO representation. SARS CoV 2 viral S protein related HCI knowledge was emphasized for CIDO modeling, including its binding with ACE2, mutations causing different variants, and epitope homology by comparison with other coronavirus S proteins. Different types of cytokine signatures were also identified and added to CIDO. Our secondary analysis of two cohort COVID 19 studies with cytokine panel detection found that a total of 11 cytokines were up regulated in female patients after infection and 8 cytokines in male patients. These sex specific gene responses were newly modeled and represented in CIDO. A new DL query was generated to demonstrate the benefits of such integrative ontology representation. Furthermore, IL 10 signaling pathway was found to be statistically significant for both male patients and female patients.  Using the recursive XOD strategy, six new ImmPort COVID 19 studies were systematically reviewed, the results were modeled and represented in CIDO, leading to the enhancement of CIDO. The enhanced ontology and further seconary analysis supported more comprehensive understanding of the molecular mechanism of host responses to COVID 19 infection.
[Polyorchidism is a rare cause of a scrotal mass]
Venue: Ugeskrift for laeger
Year: 2017

In this case report we present a 14 year old boy with two testicles in the right hemiscrotum a case of polyorchidism. He did not have surgery for his condition, and his condition was followed according to the guidelines. In a study, 6.4% of cases with polyorchidism were found to contain neoplasms of which the most were malignant. If the supernumerary testicle is not contributing to the spermatogenesis, it is therefore recommended to remove the testicle. Otherwise, recommendations are a yearly follow up by Doppler ultrasound, including a physical examination to discover development of cancer.
Summary of Application of Convolution Neural Network on Image Classification
Year: 2018

In recent years, image classification occupies an important position in pattern recognition. The rapid growth of image data for image information analysis and processing put forward new requirements. Convolution neural network came into being, with its powerful image recognition classification ability is widely used in a variety of image classification system, and achieved very significant results. Firstly, this paper reviews the development of image classification technology, and introduces the classification methods of feature space and feature space and the image feature extraction methods. Secondly, the research of convolution neural network on image classification is introduced. Finally, the problems existing in the image classification of convolution neural networks are summarized, and the future development direction is summarized.
SENET: A Semantic Web for Supporting Automation of Software Engineering Tasks
Venue: 2020 IEEE Seventh International Workshop on Artificial Intelligence for Requirements Engineering (AIRE)
Year: 2020

The use of Natural Language (NL) interfaces to allow devices and applications to respond to verbal commands or free form textual queries is becoming increasingly prevalent in our society. To a large extent, their success in interpreting and responding to a request is dependent upon rich underlying ontologies and conceptual models that understand the technical or domain specific vocabulary of diverse users. The effective use of NL interfaces in the Software Engineering (SE) domains requires its own ontology models focusing upon software related terms and concepts. While many SE glossaries exist, they are often incomplete and tend to define the vocabulary for specific sub fields without capturing associations between terms and phrases. This limits their usefulness for supporting NL related tasks. In this paper we propose an approach for constructing and evolving a semantic network of software engineering concepts and phrases. Our approach starts with a set of existing SE glossaries, uses the existing glossary terms and explicitly defined associations as a starting point, uses machine learning based techniques to dynamically identify and document additional associations between terms, leverages the network to interpret NL queries in the SE domain, and finally augments the resulting semantic network with feedback provided by users. We evaluate the viability of our approach within the sub domain of Agile Software Development, focusing on requirements related queries, and show that the semantic network enhances the ability of an NL interface to correctly interpret and execute user queries.
?Cuanto es el valor agregado del empleo en las exportaciones colombianas? (How Much Is the Value Added of Employment in Colombian Exports?
Year: 2021

<b>Spanish abstract:/b> Las cadenas globales de valor han cambiado la forma en como se interrelaciona el comercio internacional y el mercado laboral. Una de las formas para comprender esta relacion es medir el valor agregado del empleo involucrado en las exportaciones del pais. Aqui se encuentra que, esta medicion pone en evidencia, el valor agregado del empleo de las exportaciones ha disminuido, particularmente para el sector agropecuario e industrial. Luego, politicas que reactiven estos sectores influiran positivamente en la generacion de ingresos para los trabajadores de Colombia.<br><br><b>English abstract:/b> Global value chains have changed the way international trade and the labor market are interrelated. One of the ways to understand this relationship is to measure the added value of employment involved in the country's exports. Here it is found that, this measurement shows, the added value of export employment has decreased, particularly for the agricultural and industrial sectors. Then, policies that reactivate these sectors will positively influence income generation for Colombian workers.
Application of Multiple Neural Networks in Aspect Sentiment Analysis
Venue: 2021 IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)
Year: 2021

Sentiment Analysis (SA) has been an important part of social media data analysis; it provides more accurate information and classification performance. Common methods of sentiment analysis use machine learning or text information classification based on sentiment dictionary, but these methods do not effectively capture the subject of a sentence. Usually there are some keywords which called 'target' are considered important emotional information in a sentence. The target words and its corresponding emotional vocabulary reflect the emotional situation of a sentence in different aspects, so we call it Aspect Based Sentiment Analysis (ABSA) ABSA aims to predict fine grained emotions in different aspects of comments or reviews. It is no longer a simple judgment of the emotional tendency of a sentence, good or bad, but a deeper analysis of the different aspects of emotion mentioned. Neural networks have also been widely used in sentiment analysis at the level of aspects. To explore it, we propose two methods to verify it. First, we try to use Bi directional Long Short Term Memory network (Bi LSTM) to replace the existing Long Short Term Memory networks (LSTM) The second method is to try to combine Convolutional Neural Network (CNN) with LSTM. We apply both methods to document level data for pre training to obtain parameters, through transfer learning we apply parameters to formal training. The experiments results show multiple neural network perform well in aspect based sentiment analysis.
Practices That Support the Inclusion of Children With Autism Spectrum Disorder in Mainstream Early Childhood Education in Zimbabwe
Year: 2017

The international and national mandate to serve learners with special needs in regular education warrants examination of support practices for including learners with autism in Zimbabwe. Entrenched within the inclusive pedagogical philosophy, the current qualitative study executed individual interviews with 18 teachers, document analysis, and nonparticipant observations in the Midlands educational province of Zimbabwe to explore support practices for including learners with autism in regular Early Childhood Development (ECD) classes. The study revealed that support practices for including learners with autism in regular ECD classes included entry competencies informed pedagogy, reinforcement, academic adaptations, socialization, consultation, and strategic management of structured routines and compulsions. The institutionalization of comprehensive teacher education for inclusion and collaborative culture could optimize support practices for including learners with autism in regular ECD classes.
Effectiveness of pulsed radio frequency in seed quality improvement of vegetable plant species
Venue: International Agrophysics
Year: 2019

The biggest problem, in ecological vegetable seed production, is low germination mostly caused by high seed infection with fungi and a shortage of effective biological agents eliminating pathogens. Therefore, pro ecological methods of seed quality enhancement are being searched, increasing the profitability of seed production by improving the seed sowing value. The aim of the work was to evaluate the effectiveness of pulsed radio frequency (PRF) on seed quality of selected vegetable cultivars. The obtained results from conducted research in laboratory, greenhouse and field conditions indicate a protective effect of PRF treatment by reduction of beetroot, lettuce and garden dill seed borne fungi, and the improvement of their health status and seed germination. Pre sowing application of PRF resulted in 60 80% reduction of seed infestation with fungi, depending on the plant species. This treatment improved the dynamics of seed germination, plant emergence, growth, and increased chlorophyll content and gas exchange in leaves. The most beneficial results were obtained in beetroot, in which the problem of seed production is associated with high seed infestation with mycoflora and the presence of germination inhibitors in the seed coat. The results indicate the high efficiency of the applied PRF and its usefulness in ecological and integrated seed production.