nils-herrmann/clean_scirepeval huggingface dataset:
GAPPS Gastric Adenocarcinoma and Proximal Polyposis of the Stomach Syndrome in 8 Families Tested at Masaryk Memorial Cancer Institute Prevention and Prophylactic Gastrectomies.
Venue: Klinicka onkologie casopis Ceske a Slovenske onkologicke spolecnosti
Year: 2019

Gastric adenocarcinoma and proximal polyposis of the stomach (GAPPS) is a rare variant of familial adenomatous polyposis. It is an autosomal dominant cancer predisposition syndrome with massive polyposis of the stomach and a significant risk of gastric adenocarcinoma. Li et al. 2016, described point mutations in the Ying Yang 1 binding site of the APC gene 1B promoter associated with GAPPS syndrome. The first GAPPS syndrome in a Czech family was described in 2016. At Masaryk Memorial Cancer Institute, GAPPS syndrome was diagnosed in eight families using Sanger sequencing. In all families, one mutation in promoter 1B of APC gene NM_001127511: c. 191T>C was detected. This mutation was not found in any patient with multiple colon polyposis without a detected classic mutation in the APC gene. In total, 24 carriers of this mutation in promoter 1B of the APC gene were detected. Out of those 24 carriers, 20 had massive gastric polyposis with more than 100 fundic glandular polyps diagnosed between the age of 22 and 65, 5 had already died of adenocarcinoma of the stomach (at the ages of 29, 40, 59, 60 and 64, respectively) and another woman was treated at the age of 29. Two female carriers do not yet have polyposis of the stomach at the ages of 31 and 65, respectively; one female carrier has incipient polyposis at the age of 58. A male carrier does not have any clinical symptoms, gastroscopy was not indicated because of his age. Prophylactic total gastrectomy with D2 lymphadenectomy has already been performed 6 times at Masaryk Memorial Cancer Institute, in 5 cases without adenocarcinoma at the ages of 27, 34, 44, 51 and 66, respectively; in one female carrier adenocarcinoma of the stomach was detected in a histology specimen. Two prophylactic gastrectomies with D1 lymphadenectomy were performed at University Hospital Brno at the ages of 42 and 50, respectively. In the Czech Republic point mutation c. 191T>C (rs879253783) in the 1B promoter of the APC gene is a frequent cause of gastric polyposis with a high risk of gastric adenocarcinoma, even at a young age. Positively tested individuals are recommended to high risk oncology clinic. A necessary part of the discussion with the patient is information about a preventive gastrectomy.
Phenomenology of a light scalar: the dilaton
Year: 2010

We make use of the language of nonlinear realizations to analyze electroweak symmetry breaking scenarios in which a light dilaton emerges from the breaking of a nearly conformal strong dynamics and compare the phenomenology of the dilaton to that of the well motivated light composite Higgs scenario. We argue that in addition to departures in the decay/production rates into massless gauge bosons mediated by the conformal anomaly characterizing features of the light dilaton scenario are enhancements in off shell events at high invariant mass involving two longitudinally polarized vector bosons and a dilaton, and tree level flavor violating processes. Accommodating both electroweak precision measurements and flavor constraints appears especially challenging in the ambiguous scenario in which the Higgs and the dilaton fields strongly mix. We show that warped higgsless models of electroweak symmetry breaking are explicit and tractable realizations of this limiting case. The relation between the naive radion profile often adopted in the study of holographic realizations of the light dilaton scenario and the actual dynamical dilaton field is clarified in the Appendix.
Vermiculite derived porous silicon nanosheet as a scalable and low cost anode material for lithium ion batteries
Year: 2019

Silicon is considered to be a promising candidate as the anode material for next generation lithium ion batteries. However, Si based material is still facing great challenge to be commercialized due to the unsatisfied cycle life and rate capability. Here, we demonstrate a facile and low cost method to prepare two dimension (2D) silicon nanosheets from natural vermiculite, which is an earth abundant non metallic mineral with stratified structure. The obtained porous 2D silicon material (Ver Si) exhibits promising electrochemical performance with a reversible capacity of 900 mAh g 1 and high capacity retention. The promising electrochemical performance is originated from the unique 2D mesoporous structure, which can facilitate charge (Li ion and electron) transportation and electrolyte penetration, as well as accommodate the volume changes during cycling.
Performance Analysis of Various Machine Learning Algorithm for Fall Detection A Survey
Venue: 2020 International Conference on System, Computation, Automation and Networking (ICSCAN)
Year: 2020

Improper activities appear nowadays for the human (i.e. falling without aware, and numerous techniques had been developed to reduce them. In this paper, critically analysis of the various proposed methodologies by comparing their strength and their weakness. Due to the diverseness and complexness action recognition become very challenge. The traditional (CCTV) system for monitoring patient activity it is inefficient and costly, then by using sensor based is also difficult due to drained battery life. So we need real time system for activity recognition with more efficiency and accuracy to avoid people from morality problems or it may lead to causes to major injuries. By comparing various algorithm Support vector machine (SVM) is a discriminative classifier belonging to supervised learning. Recurrent neural network (RNN) is one of the concepts in deep neural network. The main intention of the RNN is to minimize the preprocessing. This application will seem like visual imagery analysis. The convolutional neural network (CNN) it is more cost expensive compared wearable and ambience based. Diffusion Convolutional Neural Network (DCRNN) is the branch of artificial intelligence. The neural network was trained by DCRNN algorithm. The objective of the discussion is to be able to implement an automated anomalous human activity recognition system by using Diffusion Convolutional Recurrent Neural network and compression of the video in real times it proves to be more effective than other classification algorithm.
Incidence of scoliosis in cerebral palsy
Venue: Acta orthopaedica
Year: 2018

Surveillance of scoliosis in individuals with cerebral palsy (CP) is important for ensuring timely diagnosis and identification of curve progression. We analyzed the incidence of scoliosis in relation to age, sex, and gross motor function in a population based cohort of individuals with CP.  This was a prospective register study of all 1,025 individuals born 1990 2012 in southern Sweden (1.4 million inhabitants) in the Swedish surveillance program for CP, which included >95% of the total population of people with CP in the area. Annual clinical examinations and radiographic measurement of the Cobb angle of those with a moderate or severe scoliosis were registered. We determined the incidence of scoliosis related to age, sex, and the Gross Motor Function Classification System (GMFCS) level.  The inclusion criteria were fulfilled by 962 individuals. The number of people (140/962) with scoliosis increased up to 20 25 years of age. The incidence of scoliosis was related to age and GMFCS level. In individuals at the lowest level of gross motor function (GMFCS V) scoliosis was seen in 10/131 before 5 years of age and at the age of 20 years 75% of these individuals had a Cobb angle =40deg. No one in the highest level of motor function (GMFCS I) developed a Cobb angle =40deg Interpretation Surveillance programs for scoliosis in CP should be based on age and GMFCS level and should be initiated at a young age and continued into adulthood.
Comparison of Aeroponics and Conventional Potato Mini Tuber Production Systems at Different Plant Densities
Venue: Potato Research
Year: 2020

Mini tubers are the starting materials of a disease free seed potato production scheme. Low multiplication rates as well as non homogenous tuber size distribution are considered the main constraints of a conventional mini tuber production system. In recent years, an aeroponics production system has been developed to overcome the aforementioned problems. It has previously been observed that this system allows multiple harvests with an average yield of 20 50 mini tubers per plant. Several factors, such as cultivar, planting density, nutrient composition of the mist solution, spraying interval and duration and lighting also affect both tuber number and tuber size. However, less attention has been paid to the association of these factors with the aeroponics system. This paper highlights the importance of planting density effect on conventional and aeroponics system. The mini tuber production performances of three potato cultivars (Hermes, Marabel and Sante) were compared at four different planting densities (25, 50, 100 and 200 plants/m 2 under both conventional and aeroponics systems in two production cycles. The number of tubers per plant increased with decreasing planting density, being highest at 25 plants/m 2 and lowest at 200 plants/m 2 for both cycles. Mean tuber number in the aeroponic system was 19.85 tubers per plant at 25 plants/m 2 and 13.20 tubers per plant at 200 plants/m 2 As the number of tubers per plant decreased, so did their size. As planting density increased, tuber yield per plant both in aeroponics and conventional system decreased, but in general, tuber yield per plant was higher in aeroponics than in the conventional system. In the 1st cycle, the number of tubers per m 2 for Hermes, Sante and Marabel was 290, 364 and 334, respectively, in the conventional system and 787, 1021 and 1168, respectively, in the aeroponics system. Similar numbers were recorded in the 2nd cycle. The average tuber weight was higher in the conventional than in the aeroponics system. Tuber yield/m 2 in this study varied from 5.9 to 9.3 kg/m 2 in the aeroponics system, about twice as high as in the conventional system.
PDNet: Prior Model Guided Depth Enhanced Network for Salient Object Detection
Venue: 2019 IEEE International Conference on Multimedia and Expo (ICME)
Year: 2019

Fully convolutional neural networks (FCNs) have shown outstanding performance in many computer vision tasks including salient object detection. However, there still remains two issues needed to be addressed in deep learning based saliency detection. One is the lack of tremendous amount of annotated data to train a network. The other is the lack of robustness for extracting salient objects in images containing complex scenes. In this paper, we present a new architecture PDNet, a robust prior model guided depth enhanced network for RGB D salient object detection. In contrast to existing works, in which RGB D values of image pixels are fed directly to a network, the proposed architecture is composed of a master network for processing RGB values, and a sub network making full use of depth cues and incorporate depth based features into the master network. To overcome the limited size of the labeled RGB D dataset for training, we employ a large conventional RGB dataset to pre train the master network, which proves to contribute largely to the final accuracy. Extensive evaluations over five benchmark datasets demonstrate that our proposed method performs favorably against the state of the art approaches.
Statics analysis and experimental study on the bi stable self amplifying force clutch of hybrid electric vehicles
Year: 2018

At present, hybrid electric buses are mainly used for urban buses, which work in two conditions for a long time, such as clutch separation and clutch engagement, but the mono stable clutch cannot meet the needs. According to the working demands of the clutch, this thesis puts forward a new bi stable clutch configuration used in hybrid electric vehicles, and then its working principle is described, which realizes self amplifying force effect and solves self locking defects through the structure of double disc steel ball rolling groove mechanism. Based on statics analysis theory, the statics analysis was carried out on the back and forward rotating pressure plate, the clutch's rear end cover and master pin. Then a bi stable clutch test bed is set up in order to conduct the clutch's bearing torque, separation thoroughness, heat load test and service life test. Its conclusion provides a good foundation for the further optimal design of the bi stable clutch.
Towards Sustainable Human Resources: How Generational Differences Impact Subjective Wellbeing in the Military?
Year: 2020

The article analyzes the generational (age cohorts) effect on subjective wellbeing at work. The main aim is to reveal generational differences that lead to subjective wellbeing at work and possible discrepancies between the generations. The article contributes to the literature by creating and testing a theoretical model of subjective wellbeing at work as a composition of several dimensions that vary among generations, including physical experience, cognitive job performance, and appraisal, as well as social relationships and socio emotional enablement at work. Using the military as an organization where daily routine creates similar conditions for different generations, we surveyed 890 army professionals representing three different generations: Gen Y, Gen X, and Gen Z. A structural equation modelling (SEM) technique is used to test the research model. The results support the hypothesis that generation has a strong moderating impact on the components of subjective wellbeing at work. Social relationship, as a socio emotional experience, is the most important component of wellbeing at work for Gen Z, while socio emotional enablement plays a central role in subjective wellbeing at work for Gen X and Gen Y.
Linking Emotional Intelligence to Knowledge Sharing Behaviour: Organizational Justice and Work Engagement as Mediators
Year: 2017

The present study aims to investigate the direct and indirect effects of emotional intelligence (EI) on knowledge sharing (KS) behaviour of employees via two mediating variables, namely organizational justice (OJ) and work engagement (WE) The authors collected data from 294 employees working in select public sector banks in India via survey and web based modes. The two stage approach which includes confirmatory factor analysis (CFA) and structural equation modelling (SEM) was used to validate the direct and indirect impacts of EI on KS behaviour. Results indicated that there exists a positive impact of EI on KS behaviour. This article provides important implications for organizations by showing that EI plays a pivotal role in stimulating KS behaviour of employees in Indian public sector banks. This study also corroborates the partial mediating role of OJ and WE between EI and KS behaviour. This research contributes to the academic literature of EI and KS in specific and extends the organizational research studies in general.
FORM AND CONTENT: A HISTORICAL AND ARTISTIC ASSESSMENT OF A 17TH CENTURY ILLUSTRATED MANUSCRIPT OF SHAHNAMEH FROM S.M.N.A. LIBRARY, MALAYSIA
Year: 2018

Shahnameh illustrated manuscripts are among the most sumptuous manuscripts produced in the history of Iran and within Persianate societies. The purpose of this research is to introduce and provide a multifaceted assessment of a 17th century illustrated manuscript of the Shahnameh, preserved at the Syed Muhammad Naquib Al Attas Library MSS collection. In this study, after a brief introduction of the Shahnameh, the manuscript in hand is evaluated from historical, codicological and artistic perspectives. It identifies the calligraphic style(s) discusses the form of page layout and provides a compositional categorization of its 29 illustrations painted in Isfahan school style. In order to establish a meaningful text image relation in terms of layout and composition the images are analyzed and categorized into three main divisions to facilitate artistic assessment. A graphic approach has been adopted to display the three categories in the format of schematic drawings which appear next to the images from the original illustrations. An overall evaluation of the physical condition of the manuscript is also provided to encourage taking measures for its preservation.
Recent developments in heterogeneous photocatalysts for solar driven overall water splitting.
Venue: Chemical Society reviews
Year: 2019

Overall water splitting based on particulate photocatalysts is an easily constructed and cost effective technology for the conversion of abundant solar energy into clean and renewable hydrogen energy on a large scale. This promising technology can be achieved in a one step excitation system using a single photocatalyst or via a Z scheme process based on a pair of photocatalysts. Ideally, such photocatalysis will proceed with charge separation and transport unaffected by recombination and trapping, and surface catalytic processes will not involve undesirable reactions. This review summarizes the basics of overall water splitting via both one step excitation and Z scheme processes, with a focus on standard methods of determining photocatalytic performance. Various surface engineering strategies applied to photocatalysts, such as cocatalyst loading, surface morphology control, surface modification and surface phase junctions, have been developed to allow efficient one step excitation overall water splitting. In addition, numerous visible light responsive photocatalysts have been successfully utilized as H2 evolution or O2 evolution photocatalysts in Z scheme overall water splitting. Prototype particulate immobilization systems with photocatalytic performances comparable to or drastically higher than those of particle suspension systems suggest the exciting possibility of the large scale production of low cost renewable solar hydrogen.
Alternative Assessment in the Post Method Era: Pedagogic Implications
Year: 2011

This article aims at presenting an state of the art status of formative assessment as a pedagogic tool. To this end, a brief developmental account of different modes of assessment over the last decades will be presented first. Then, formative assessment will be discussed in its constructivist guise. The present literature on assessment suggests that assessment for learning (formative assessment) not only represents an assessment tool but it also serves as a pedagogic tool to enhance learning and thinking. It has also gone to lengths to affect the design of classroom tasks and activities. Attempts have been made to delineate the underlying principles of formative assessment which can be used to picture the formation process of learners' knowledge and development. Subsequently, alternative assessment techniques of which the present article will give an account have been suggested by scholars to operationalize these principles. The article also presents some research findings on the use and outcomes of formative assessment procedures in Asian EFL context.  Formative assessment; Cconstructivism; Pedagogic tool; Alternative assessment; EFL instruction
A Comprehensive Survey On Soft Computing Based Optical Character Recognition Techniques
Year: 2019

Character recognition has been one of the most interesting and challenging research areas in field of image processing and pattern recognition in the recent years. This paper describes the techniques for better character recognition in document into machine readable form. Several techniques like OCR using Feature extraction and OCR using neural networks are reviewed in this paper. Before going to future research work, analyze and update recognition techniques in detail which are implemented previously. The purpose of this paper is to discuss various algorithms, techniques, processes, and achieve direction towards research work to improve the problems faced by existing systems to get more recognition rate.
Improving Emergency Health Care Workers' Knowledge, Competency, and Attitudes Toward Lesbian, Gay, Bisexual, and Transgender Patients Through Interdisciplinary Cultural Competency Training
Venue: Journal of emergency nursing: JEN official publication of the Emergency Department Nurses Association
Year: 2018

Emergency staff members have a unique role in providing episodic care to marginalized populations. The lesbian, gay, bisexual, and transgender (LGBT) community is a marginalized population that is routinely encountered by ED staff. Implicit prejudice may influence emergency staff interactions and contribute to distrust of health care providers by some members of the LGBT community. The purpose of our study is to evaluate aggregate ED health care team member's knowledge and attitudes toward lesbian, gay, bisexual, and transgender people pre and post cultural competency training education.  A pre /post intervention design was used to assess the impact of LGBT cultural competency training. The Ally Identity Measure (AIM) was administered to an unmatched sample of ED nurses, nurse practitioners, unit secretaries, and physicians. Consisting of 3 domains knowledge and skills, openness and support, and awareness of oppression experienced by the LGBT community (Cronbach's alphas of 0.76 to 0.88) the AIM assessed for aggregate differences among our staff pre and post cultural competency training.  Pre survey data revealed 85.3 (n 81) of staff had no previous LGBT education specific to the needs of the population. Post survey data collected between 3 to 5 months after the education intervention demonstrated a total index mean increase of 8.8% (P 0.001) in the areas of knowledge and skills, openness and support, and awareness of oppression regarding the LGBT community.  Status post cultural competency training, the AIM results indicated that our team's collective knowledge about challenges facing the LGBT community increased, and the aggregate scores reflected more openness, support, and awareness of oppression by our staff. This elevated self awareness and increased knowledge may aid in creating a more open, supportive patient experience for the LGBT community members seeking care at our facility.
Declarative Language Design for Interactive Visualization
Venue: IEEE Transactions on Visualization and Computer Graphics
Year: 2010

We investigate the design of declarative, domain specific languages for constructing interactive visualizations. By separating specification from execution, declarative languages can simplify development, enable unobtrusive optimization, and support retargeting across platforms. We describe the design of the Protovis specification language and its implementation within an object oriented, statically typed programming language (Java) We demonstrate how to support rich visualizations without requiring a toolkit specific data model and extend Protovis to enable declarative specification of animated transitions. To support cross platform deployment, we introduce rendering and event handling infrastructures decoupled from the runtime platform, letting designers retarget visualization specifications (e.g. from desktop to mobile phone) with reduced effort. We also explore optimizations such as runtime compilation of visualization specifications, parallelized execution, and hardware accelerated rendering. We present benchmark studies measuring the performance gains provided by these optimizations and compare performance to existing Java based visualization tools, demonstrating scalability improvements exceeding an order of magnitude.