nils-herrmann/clean_scirepeval huggingface dataset:
Thermoplastic polyurethane carbon black nanocomposite coating: Fabrication and solid particle erosion resistance
Year: 2018

Carbon black (CB)/thermoplastic polyurethane (TPU) nanocomposites with a range of nanoparticle loadings were prepared successfully by using a joint co coagulation technique and hot pressing. The presence of hydrogen bonding interactions between the CB particles and TPU chains was identified from the results of Fourier transform infrared (FT IR) spectroscopy and differential scanning calorimetry (DSC) Uniform dispersion of CB particles throughout the TPU matrix improved the overall mechanical properties of the TPU nanocomposites, as compared with the neat TPU. The thermal conductivity and thermal stability of the CB/TPU nanocomposites were also found to be enhanced with increasing the CB loading. All samples exhibited a rapid increase of erosion rate with the impact velocity between 20 and 30 m/s. The largest and smallest erosion rates (ER) were observed at 30deg and 90deg impact angle, respectively, for all CB/TPU nanocomposites. This shows a typical ductile erosion behavior in this material. In addition, the ER (TPU 2CB TPU 12CB TPU TPU 6CB) under all test conditions showed an opposite trend to the tensile strength. These results indicate that the CB/TPU nanocomposites are suitable for protective coatings.
Fish scale crystals: an under recognised cause of intestinal necrosis
Venue: Journal of Clinical Pathology
Year: 2019

A middle aged patient with chronic obstructive pulmonary disease (COPD) gold III was admitted to the intensive care unit with an acute, severe exacerbation of COPD. Six days after admission, the patient developed acute kidney injury with hyperkalaemia, for which the patient was treated. Kidney function further deteriorated and after 3 days, continuous venovenous haemofiltration was started. Several days later, a paralytic ileus developed. Subsequently, the patient underwent an exploratory laparotomy, which revealed fibrinous deposits and oedematous, poorly perfused and ischaemic small intestines with two perforations. The resection specimen was submitted for histopathological examination. Review the high quality, interactive digital Aperio slide at http:/virtualacp.com/JCPCases/jclinpath 2018 205203/ and consider your diagnosis. 1. Cholestyramine induced ischaemia. 2. Idiopathic ischaemia. 3. Ischaemic enteritis due to vasculitis. 4. Sevelamer induced
Lending effects of the ECB's asset purchases
Year: 2020

Between 2010 and 2012, the European Central Bank absorbed EUR218 billion worth of government securities from five EMU countries under the Securities Markets Programme (SMP) Detailed security holdings data at the bank level affirms an effective lending stimulus due to the SMP. Exposed banks contract household lending, but increase commercial lending substantially. Holding non SMP securities from stressed EMU countries amplifies the commercial lending response. The SMP also improved liquidity buffers and profitability without compromising credit quality.
Increase of scabies in Germany and development of resistant mites? Evidence and consequences
Venue: Journal der Deutschen Dermatologischen Gesellschaft Journal of the German Society of Dermatology JDDG
Year: 2019

Scabies has been diagnosed surprisingly frequently in Germany in recent years, and the use of acaricides has risen markedly. Present figures indicate an increase in the prevalence/incidence of scabies, but do not prove or quantify it for the following reasons: (a) scabies is not a notifiable disease in Germany; (b) the diagnosis is not always confirmed lege artis by means of light microscopy or dermatoscopy (which may lead to a comparatively high proportion of false positive diagnoses due to the low overall prevalence of scabies) (c) repeated treatments of the same patient and treatment of contact persons are included in the total number of prescriptions. Therefore, there are no valid data on disease occurrence, either in the current situation or from previous periods.
Hydrodesulfurization of dibenzothiophene using Pd promoted Co Mo/Al2O3 and Ni Mo/Al2O3 catalysts coupled with ionic liquids at ambient operating conditions
Year: 2019

Sulfur compounds in fuel oils are a major source of atmospheric pollution. This study is focused on the hydrodesulfurization (HDS) of dibenzothiophene (DBT) via the coupled application of 0.5 wt% Pd loaded Co Mo/Al2O3 and Ni Mo/Al2O3 catalysts with ionic liquids (ILs) at ambient temperature (120 degC) and pressure (1 MPa H2) The enhanced HDS activity of the solid catalysts coupled with [BMIM]BF4, (CH3)4N]Cl, [EMIM]AlCl4, and (n C8H17)(C4H9)3P]Br was credited to the synergism between hydrogenation by the former and extractive desulfurization and better H2 transport by the latter, which was confirmed by DFT simulation. The Pd loaded catalysts ranked highest by activity i.e. Pd Ni Mo/Al2O3 Pd Co Mo/Al2O3 Ni Mo/Al2O3 Co Mo/Al2O3. With mild experimental conditions of 1 MPa H2 pressure and 120 degC temperature and an oil IL ratio of 10 3.3, DBT conversion was enhanced from 21% (by blank Ni Mo/Al2O3) to 70% by Pd Ni Mo/Al2O3 coupled with (n C8H17)(C4H9)3P]Br. The interaction of polarizable delocalized bonds (in DBT) and van der Waals forces influenced the higher solubility in ILs and hence led to higher DBT conversion. The IL was recycled four times with minimal loss of activity. Fresh and spent catalysts were characterized by FESEM, ICP MS, EDX, XRD, XPS and BET surface area techniques. GC MS analysis revealed biphenyl as the major HDS product. This study presents a considerable advance to the classical HDS processes in terms of mild operating conditions, cost effectiveness, and simplified mechanization, and hence can be envisaged as an alternative approach for fuel oil processing.
Brain Tumor Detection and Segmentation by Intensity Adjustment
Venue: Journal of Medical Systems
Year: 2019

In recent years, Brain tumor detection and segmentation has created an interest on research areas. The process of identifying and segmenting brain tumor is a very tedious and time consuming task, since human physique has anatomical structure naturally. Magnetic Resonance Image (MRI) scan analysis is a powerful tool that makes effective detection of the abnormal tissues from the brain. Among different techniques, Magnetic Resonance Image (MRI) is a liable one which contains several modalities in scanning the images captured from interior structure of human brain. A novel hybrid energy efficient method is proposed for automatic tumor detection and segmentation. The proposed system follows K means clustering, integrated with Fuzzy C Means (KMFCM) and active contour by level set for tumor segmentation. An effective segmentation, edge detection and intensity enhancement can detect brain tumor easily. For that, active contour with level set method has been utilized. The performance of the proposed approach has been evaluated in terms of white pixels, black pixels, tumor detected area, and the processing time. This technique can deal with a higher number of segmentation problem and minimum execution time by ensuring segmentation quality. Additionally, tumor area length in vertical and horizontal positions is determined to measure sensitivity, specificity, accuracy, and similarity index values. Further, tumor volume is computed. Knowledge of the information of tumor is helpful for the physicians for effective diagnosing in tumor for treatments. The entire experimentation was implemented in MATLAB environment and simulation results were compared with existing approaches.
Particulate Matter deposition on Quercus ilex leaves in an industrial city of central Italy.
Venue: Environmental pollution
Year: 2015

A number of studies have focused on urban trees to understand their mitigation capacity of air pollution. In this study particulate matter (PM) deposition on Quercus ilex leaves was quantitatively analyzed in four districts of the City of Terni (Italy) for three periods of the year. Fine (between 0.2 and 2.5 mm) and Large (between 2.5 and 10 mm) PM fractions were analyzed. Mean PM deposition value on Quercus ilex leaves was 20.6 mg cm( 2) Variations in PM deposition correlated with distance to main roads and downwind position relatively to industrial area. Epicuticular waxes were measured and related to accumulated PM. For Fine PM deposited in waxes we observed a higher value (40% of total Fine PM) than Large PM (4% of total Large PM) Results from this study allow to increase our understanding about air pollution interactions with urban vegetation and could be hopefully taken into account when guidelines for local urban green management are realized.
Statistical paradises and paradoxes in big data (I) Law of large populations, big data paradox, and the 2016 US presidential election
Year: 2018

Statisticians are increasingly posed with thought provoking and even paradoxical questions, challenging our qualifications for entering the statistical paradises created by Big Data. By developing measures for data quality, this article suggests a framework to address such a question: "Which one should I trust more: a 1% survey with 60% response rate or a self reported administrative dataset covering 80% of the population?" A 5 element Eulerformula like identity shows that for any dataset of size n, probabilistic or not, the difference between the sample average Xn and the population average XN is the product of three terms: (1) a data quality measure, rR,X the correlation between Xj and the response/recording indicator Rj (2) a data quantity measure, (N n)/n, where N is the population size; and (3) a problem difficulty measure, sX the standard deviation of X. This decomposition provides multiple insights: (I) Probabilistic sampling ensures high data quality by controlling rR,X at the level of N 1/2; (II) When we lose this control, the impact of N is no longer canceled by rR,X leading to a Law of Large Populations (LLP) that is, our estimation error, relative to the benchmarking rate 1/ n, increases with N and (III) the "bigness" of such Big Data (for population inferences) should be measured by the relative size f n/N not the absolute size n; (IV) When combining data sources for population inferences, those relatively tiny but higher quality ones should be given far more weights than suggested by their sizes. Estimates obtained from the Cooperative Congressional Election Study (CCES) of the 2016 US presidential election suggest a rR,X 0.005 for self reporting to vote for Donald Trump. Because of LLP, this seemingly minuscule data defect correlation implies that the simple sample proportion of the self reported voting preference for Trump from 1% of the US eligible voters, that is, n 2,300,000, has the same mean squared error as the corresponding sample proportion from a genuine simple random sample of size n 400, a 99.98% reduction of sample size (and hence our confidence) The
Compact dual band microstrip bandpass filter using stub loaded stepped impedance resonator
Venue: 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
Year: 2017

In this paper, two dual band microstrip bandpass filters (BPFs) based on the stepped impedance resonator (SIR) and stub loaded SIR (SL SIR) are presented. The characteristics of the SL SIR are studied by using the even /odd mode analysis method. The simulation results show the length of the loaded stub has no influence on the odd mode resonant frequency, but it can affect the even mode resonant frequency. In addition, the BPF based on the SL SIR has higher frequency selectivity and stopband rejection than the one based on the SIR. What's more, the loaded stub can reduce the size of the BPF. Therefore, the BPF based on the SL SIR can be applied in the modern wireless communication systems.
Using robots to improve the accessibility of online videos
Venue: ACM SIGACCESS Access. Comput.
Year: 2018

People who are blind often learn spatial information and concepts through tactile and tangible representations. These representations offer an accessible low cost solution, but often require large amounts of time to author or print. However as educational videos and animations become a primary medium for conveying educational concepts, this means that an author must spend time representing important key frames in an animation to make it accessible. In my thesis, I will be addressing this issue using techniques from computer vision, and leveraging inexpensive educational robot toys. My work aims to demonstrate how these existing devices often found around the home, can be used to increase access to online media for individuals with vision impairments. Throughout this work I will learn how to use and design robots for accessible communication of motion, examine the use of these representations in educational environments, and create toolkits which enable other end users to author accessible videos online.
A Sentiment Analysis Dataset for Code Mixed Malayalam English
Venue: SLTU
Year: 2020

There is an increasing demand for sentiment analysis of text from social media which are mostly code mixed. Systems trained on monolingual data fail for code mixed data due to the complexity of mixing at different levels of the text. However, very few resources are available for code mixed data to create models specific for this data. Although much research in multilingual and cross lingual sentiment analysis has used semi supervised or unsupervised methods, supervised methods still performs better. Only a few datasets for popular languages such as English Spanish, English Hindi, and English Chinese are available. There are no resources available for Malayalam English code mixed data. This paper presents a new gold standard corpus for sentiment analysis of code mixed text in Malayalam English annotated by voluntary annotators. This gold standard corpus obtained a Krippendorff's alpha above 0.8 for the dataset. We use this new corpus to provide the benchmark for sentiment analysis in Malayalam English code mixed texts.
HEALTHY study rationale, design and methods: moderating risk of type 2 diabetes in multi ethnic middle school students
Venue: International Journal of Obesity
Year: 2009

The HEALTHY primary prevention trial was designed and implemented in response to the growing numbers of children and adolescents being diagnosed with type 2 diabetes. The objective was to moderate risk factors for type 2 diabetes. Modifiable risk factors measured were indicators of adiposity and glycemic dysregulation: body mass index 85th percentile, fasting glucose 5.55 mmol l 1 (100 mg per 100 ml) and fasting insulin 180 pmol l 1 (30 mU ml 1) A series of pilot studies established the feasibility of performing data collection procedures and tested the development of an intervention consisting of four integrated components: (1) changes in the quantity and nutritional quality of food and beverage offerings throughout the total school food environment; (2) physical education class lesson plans and accompanying equipment to increase both participation and number of minutes spent in moderate to vigorous physical activity; (3) brief classroom activities and family outreach vehicles to increase knowledge, enhance decision making skills and support and reinforce youth in accomplishing goals; and (4) communications and social marketing strategies to enhance and promote changes through messages, images, events and activities. Expert study staff provided training, assistance, materials and guidance for school faculty and staff to implement the intervention components. A cohort of students were enrolled in sixth grade and followed to end of eighth grade. They attended a health screening data collection at baseline and end of study that involved measurement of height, weight, blood pressure, waist circumference and a fasting blood draw. Height and weight were also collected at the end of the seventh grade. The study was conducted in 42 middle schools, six at each of seven locations across the country, with 21 schools randomized to receive the intervention and 21 to act as controls (data collection activities only) Middle school was the unit of sample size and power computation, randomization, intervention and primary analysis.
Multi Task Learning Model Based on Multi Scale CNN and LSTM for Sentiment Classification
Venue: IEEE Access
Year: 2020

Sentiment classification is an interesting and crucial research topic in the field of natural language processing (NLP) Data driven methods, including machine learning and deep learning techniques, provide one direct and effective solution to solve the sentiment classification problem. However, the classification performance declines when the input includes review comments for multiple tasks. The most appropriate way of constructing a sentiment classification model under multi tasking circumstances remains questionable in the related field. In this study, aiming at the multi tasking sentiment classification problem, we propose a multi task learning model based on a multi scale convolutional neural network (CNN) and long short term memory (LSTM) for multi task multi scale sentiment classification (MTL MSCNN LSTM) The model comprehensively utilizes and properly handles global features and local features of different scales of text to model and represent sentences. The multi task learning framework improves the encoder quality, simultaneously improving the results of emotion classification. Six different types of commodity review datasets were employed in the experiment. Using accuracy and F1 score as the metrics to evaluate the performance of the proposed model, comparing with methods such as single task learning and LSTM encoder, the proposed MTL MSCNN LSTM model outperforms most of the existing methods.
Risk Management of COVID 19 by Universities in China
Year: 2020

The rapid spread of new coronaviruses throughout China and the world in 2019 2020 has had a great impact on China's economic and social development. As the backbone of Chinese society, Chinese universities have made significant contributions to emergency risk management. Such contributions have been made primarily in the following areas: alumni resource collection, medical rescue and emergency management, mental health maintenance, control of staff mobility, and innovation in online education models. Through the support of these methods, Chinese universities have played a positive role in the prevention and control of the epidemic situation. However, they also face the problems of alumni's economic development difficulties, the risk of deadly infection to medical rescue teams and health workers, infection of teachers and students, and the unsatisfactory application of information technology in resolving the crisis. In response to these risks and emergency problems, we propose some corresponding solutions for public dissemination, including issues related to medical security, emergency research, professional assistance, positive communication, and hierarchical information based teaching.
Cerebral edema secondary to chimeric antigen receptor T cell immunotherapy
Venue: Neurology
Year: 2018

A 40 year old man with relapsed acute lymphoblastic leukemia received lymphodepleting chemotherapy followed by immunotherapy with autologous T cells expressing a chimeric antigen receptor (CAR) targeting CD19. Two days after infusion of CD19 CAR T cells, he developed fever refractory to acetaminophen; received a dose of the interleukin 6 receptor inhibitor, tocilizumab; and defervesced. Five days later, he had recurrent fever and rapid onset of mental status changes. Over the subsequent hours, he developed seizures and became obtunded. MRI revealed cerebral edema (figure, B) associated with his progressive and fulminant CAR T cell related encephalopathy syndrome, which was irreversible, and resulted in brain death.1,2
kaar``kaebbesrimphiwthaangaebbyuuedhyunthiiaidcchaakekhruue`ngmuue` Benkelman Beam Flexible Pavement Overlay Design from Benkelman Beam
Year: 2019

This study aims to investigate the measurement of flexible pavement overlay design using Benkelman beam (BB) In this case, pavement deflection, pavement overlay thickness, and pavement usage property parameters that reported from measuring tool. In this study, data of pavement deflection under load was collected. Selected pavements are in asphalt concrete type and under usage. The structure component, appearances, usage lifetime, and layer structure were also investigated. For case study, 10 pavements in central region of Thailand were selected and separated into 27 test section, each range of 2 kilometers. Then, test sections were grouped according to traffic volume, asphalt concrete pavement thickness and service lifetime. Tool used for measuring pavement deflection parameter under load are Benkelman beam (BB) For testing, data of deflection parameter, thickness and type of material in each structure layer, temperature, rut depth, percent of cracking, and traffic volume were collected and analyzed Benkelman beam according to DOH standard to determine the relationship. In this step, statistical programming was used to determine relationship and statistical parameter. Therefore, this design resulted in reduction of construction cost, and the maintenance cost could be reduced.
The Marginal Fit of CAD/CAM Monolithic Ceramic and Metal Ceramic Crowns
Venue: Journal of prosthodontics official journal of the American College of Prosthodontists
Year: 2019

Studies on the marginal fit of monolithic restorations are limited. This study aimed to evaluate the marginal fit among monolithic zirconia, monolithic lithium disilicate, and conventional metal ceramic crowns and to compare the buccal and lingual surfaces.  Thirty standardized stainless steel master dies were fabricated (height: 5 mm; convergence: 6deg; chamfer: 1 mm) The dies were randomly divided into three groups (n 10 each) according to the material used to construct the crowns: group 1 (LM) Lava Plus; group 2 (DM) IPS e.max CAD; and group 3 (MC) Metal ceramic. The crowns were luted in a standard manner onto the stainless steel master dies using conventional glass ionomer cement. The vertical marginal gap of the restorations was evaluated under a scanning electron microscope (SEM) at 500x magnification. One way ANOVA, Tukey's HSD test, and Student's paired t test were used to assess the marginal discrepancy among the groups. The cutoff value for statistical significance was set at a 0.05.  Significant differences among the three groups (p 0.0001) were recorded. DM group showed the lowest discrepancies (27.95 9.37 mm) Significant differences were observed for the buccal (p 0.007) and lingual (p 0.0001) surfaces between the DM group and the other groups.  The accuracy of fit achieved for the three groups was within the range of clinical acceptance. IPS e.max CAD showed the lowest discrepancies.
Effectiveness of the Chronic Disease Self Management Program for Persons with a Serious Mental Illness: A Translation Study
Venue: Community Mental Health Journal
Year: 2013

Evaluation of evidence based interventions in new settings and new populations is the hallmark of successful translation. We evaluated the Chronic Disease Self Management Program in persons with serious mental illness who were receiving care through Michigan Community Mental Health Services (N 139) At 6 months, participants demonstrated improvements in health indicators (fatigue, quality of life, sleep, depression, health distress, and days health bad) and health behaviors (medical adherence and communication with doctor) The program was successfully administrated in a "real world" setting and continues to be used. In addition, the program appears to be an effective resource for people with serious mental illness.