nils-herrmann/clean_scirepeval huggingface dataset:
A Study on Ignition Suppression Effect of Sound Component in Sound Fire Extinguisher
Year: 2019

Since modern society is highly dependent on the information network, the conflagration of information network dense facilities causes huge economic losses. There is a risk of ignition due to accumulation of polymerizing heat due to electrical characteristics in information network densification facilities. Therefore, in addition to the existing extinguishment method in which the fire extinguishing agent is sprayed when conflagration occurs, preventive measures for separate ignition suppression are required. In this study, we tried to confirm that sound fire extinguisher is effective to suppress ignition by supplying sound component before conflagration. Match ignition experimental results applying the heating crucible measurement, ignition was performed at an average temperature of 109degC when no sound was supplied, and ignition was performed at an average of 129degC when the sound was supplied. Also, if the sound was not supplied, the match took about 38 seconds from 60degC to the ignition, while it took 173 seconds from 60degC to the ignition when the sound was supplied. Even if the sound was supplied very close, the match and ambient temperature did not rise to the ignition point. These results show that the sound component of Sound Fire Extinguisher suppresses ignition and prevents conflagration.
A Quasi Experiment To Study the Impact of Vancomycin Area under the Concentration Time Curve Guided Dosing on Vancomycin Associated Nephrotoxicity
Venue: Antimicrobial Agents and Chemotherapy
Year: 2017

Evidence suggests that maintenance of vancomycin trough concentrations at between 15 and 20 mg/liter, as currently recommended, is frequently unnecessary to achieve the daily area under the concentration time curve (AUC24) target of =400 mg h/liter. Many patients with trough concentrations in this range have AUC24 values in excess of the therapeutic threshold and within the exposure range associated with nephrotoxicity. On the basis of this, the Detroit Medical Center switched from trough concentration guided dosing to AUC guided dosing to minimize potentially unnecessary vancomycin exposure. The primary objective of this analysis was to assess the impact of this intervention on vancomycin associated nephrotoxicity in a single center, retrospective quasi experiment of hospitalized adult patients receiving intravenous vancomycin from 2014 to 2015. The primary analysis compared the incidence of nephrotoxicity between patients monitored by assessment of the AUC24 and those monitored by assessment of the trough concentration. Multivariable logistic and Cox proportional hazards regression examined the independent association between the monitoring strategy and nephrotoxicity. Secondary analysis compared vancomycin exposures (total daily dose, AUC, and trough concentrations) between monitoring strategies. Overall, 1,280 patients were included in the analysis. After adjusting for severity of illness, comorbidity, duration of vancomycin therapy, and concomitant receipt of nephrotoxins, AUC guided dosing was independently associated with lower nephrotoxicity by both logistic regression (odds ratio, 0.52; 95% confidence interval [CI] 0.34 to 0.80; P 0.003) and Cox proportional hazards regression (hazard ratio, 0.53; 95% CI, 0.35 to 0.78; P 0.002) AUC guided dosing was associated with lower total daily vancomycin doses, AUC values, and trough concentrations. Vancomycin AUC guided dosing was associated with reduced nephrotoxicity, which appeared to be a result of reduced vancomycin exposure.
HealthyClassroom A Proof of Concept Study for Discovering Students' Daily Moods and Classroom Emotions to Enhance a Learning teaching Process using Heterogeneous Sensors
Venue: ICPRAM
Year: 2018

This paper introduces an interactive system that discovers students' daily moods and classroom emotions to enhance the teaching and learning process using heterogeneous sensors. The system is designed to enable (1) detecting students daily moods and classroom emotions using physiological, physical activities, and event tags data coming from wristband sensors and smart phones, (2) discovering association/correlation between students' lifestyle and daily moods, and (3) displaying statistical reports and the distribution of daily moods and classroom emotions of students, both in individual and group modes. A pilot proof of concept study was carried out using Empatica E4 wristband sensors and Android smart phones, and preliminary evaluation and findings showing promising results are reported and discussed.
A Back Propagation Neural Network for Identifying Multi Word Biomedical Named Entities
Year: 2016

Biomedical Named Entity Recognition (BNER) is the task of classifying biomedical instances such as genes, proteins, diseases, chemical compounds and others. Several approaches have been proposed for BNER specifically supervised machine learning techniques. Most of these techniques demonstrated reasonable performance. However, there is still a gap that lies on the multi word BNEs such as the chemical compound 'Tri acetyl glucal galactono lactone' in which the classifier could not recognize these instances due to the complex characters used to separate the words. Complex characters could be punctuation (e.g. *_^ or numeric characters. Therefore, this paper aims to propose a Back propagation Neural Network (BPNN) for identifying BNEs. BPNN has the ability to encode the characters which facilitate the identification of multi word BNEs. For this purpose, this study proposed multiple features for the encoding task including digits, special characters, affixes and capitalization. Experiments have been conducted using two benchmark datasets including SCAI and GENIA. SCAI is a corpus that contains chemical compounds, whereas GENIA is a corpus that contains multiple biomedical instances such as genes, proteins, DNA and RNA. Using 80% training and 20% testing, BPNN has shown 90% f measure for the SCAI corpus and 82% f measure for the GENIA corpus. Such results emphasize an enhancement of f measure when compared to other related work. This implies that BPNN is effective in classifying BNEs.
English learning mobile app designing for engineering students' cross disciplinary learning and collaboration
Venue: Australasian Journal of Educational Technology
Year: 2019

Engineers must be able to collaborate with experts across disciplinary boundaries to successfully address the complex challenges of a contemporary workplace. The related training and research on motivating and engaging engineering students in schools is limited and rarely accounts for students' lived experiences in the curriculum design. Meanwhile, programming is a medium of communication that can be reflexive with other domains and has been treated as a way of thinking about and exploring disciplines beyond computer science. In this study, engineering students used authoring tools of mobile app to design an English learning app, in which English teachers provide feedbacks for revision, and a preliminary cross disciplinary collaboration is asserted. The learning design referred to the frameworks of constructing socio technical creativity to aid the students in employing their existing English knowledge to design mobile apps. The evaluation was conducted on the basis of the students' designed apps and presentation, teachers' feedback, and students' self reports. The results indicated that the common use of mobile apps in people daily life seemed to create a boundary object for the engineering students and English teachers to express, communicate, and coordinate their perspectives and knowledge. Students could view the engineering work from different aspects and appreciate English teachers' comments and value their expertise. By accounting for the interests of students and schools' limited resources, this study serves as a reference for cross disciplinary learning and collaboration methodology.
Effect of high dose vitamin D supplementation on cardiometabolic risk factors in subjects with metabolic syndrome: a randomized controlled double blind clinical trial
Venue: Journal of Endocrinological Investigation
Year: 2016

PurposeThe evidence in support of the effect of vitamin D deficiency on cardiovascular diseases is inconsistent. The objective of this randomized, controlled, double blind study was to assess the effect of high dose vitamin D supplementation on cardiometabolic risk factors in subjects with metabolic syndrome.MethodsEighty subjects were randomized to receive 50,000 IU vitamin D or matching placebo weekly for 16 weeks. Fasting blood sugar, homeostasis model assessment of insulin resistance, insulin sensitivity (Quicki) serum lipid profiles (low density lipoprotein cholesterol, high density lipoprotein cholesterol, triglyceride (TG) and total cholesterol) anthropometric factors and blood pressure were assessed before and after intervention. Dietary intake and sun exposure were also determined. The trial was registered at http:/www.irct.ir (code: IRCT201409033140N14).ResultsParticipants were 40.49 5.04 years and 49 male. All of the intervention group and 97 of placebo group were vitamin D deficient or insufficient (25 hydroxyvitamin D <75 nmol/L) After intervention, serum 25(OH)D concentration was increased by 61.93 nmol/L in intervention group, while it was decreased in placebo group (p 0.001) There was a significant change in TG concentration after 4 months (p 0.001) Other metabolic or anthropometric factors did not change significantly (p 0.05).ConclusionSupplementation with high dose vitamin D for 4 months improved vitamin D status and decreased TG levels in subjects with metabolic syndrome. However, it did not have any beneficial effects on other cardiometabolic risk factors; this might be due to the inadequate vitamin D status attained in this study which was conducted in a severely deficient region.
The Research on Application of Grammatical Metaphor in English Meta linguistic Texts
Year: 2019

This paper purports to illuminate the application value of grammatical metaphor from an integrated perspective of functional analysis and cognitive analysis with a corpus based analysis of English metalinguistic texts (EMTS) The notion of grammatical metaphor has long been a hot issue since it is first proposed by Halliday as one of the core concepts of systemic functional grammar and in turn of functional stylistics. Recent years have witnessed some tentative efforts to investigate the application value of grammatical metaphor. Meanwhile, with the rapid development of cognitive linguistics and cognitive pragmatics, cognitive stylistics arises as a new interdisciplinary perspective on the style of the text. Likewise, systemic functional linguistics has undergone a cognitive turn in recent years.
Understanding the intersection of race and place: the case of tuberculosis in Michigan
Venue: BMC Public Health
Year: 2019

Race and place intersect to produce location based variation in disease distributions. We analyzed the geographic distribution of tuberculosis (TB) incidence in Michigan, USA to better understand the complex interplay between race and place, comparing patterns in Detroit, Wayne County and the state of Michigan as a whole. Using cross sectional TB surveillance data from the Michigan Department of Health and Human Services, multivariable statistical models were developed to analyze the residence patterns of TB incidence from 2007 through 2012. Two way interactions among the residence location and race of cases were assessed. Overall, Detroit residents experienced 58% greater TB incidence than residents of Wayne County or the state of Michigan. Racial inequalities were less pronounced in Detroit compared to both Wayne County and the state of Michigan. Blacks in Detroit had 2.01 times greater TB incidence than Whites, while this inequality was 3.62 times more in Wayne County and 8.72 greater in the state of Michigan. Our results highlight how race and place interact to influence patterns of TB disease, and the ways in which this interaction is context dependent. TB elimination in the U.S. will require strategies that address the local social environment, as much as the physical environment.
Multimorbidity and Mental Health: The Role of Gender among Disease Causing Poverty, Rural, Aged Households in China
Venue: International journal of environmental research and public health
Year: 2020

The association between multimorbidity and mental health is well established. However, the role of gender in different populations remains unclear. Currently, China is facing an increased prevalence of multimorbidity, especially in its disease causing poverty population. The present study explores the gender based differences in the relationship between multimorbidity and mental health using data from the rural, disease causing poverty, older age population in Shandong province, China, as a case study.  The data were obtained from the survey on the health and welfare of disease causing poverty households in rural Shandong province. We identified 936 rural participants who were over 60 years old from disease causing poverty households. The mental health status was measured using the Kessler Psychological Distress Scale (K10) instrument. Using a multivariable linear regression model, including the interaction of gender and multimorbidity, gender differences in the association between multimorbidity and mental health were explored.  Multimorbidity was a serious health problem in rural, disease causing poverty, older age households, with the prevalence of multimorbidity estimated as 40% for women and 35.4% for men. There was a strong association between multimorbidity and mental health, which was moderated by gender. Women had higher K10 scores than men, and the mean K10 score was highest in women with three or more chronic diseases. Compared with men, women with multimorbidity had a higher risk of mental health problems.  The prevalence of multimorbidity in older age rural disease causing poverty subpopulations is a severe public health problem in China. The association between multimorbidity and mental health differed by gender, where multimorbid women suffered an increased mental health risk compared with men. Gender differences should be addressed when delivering effective physical and mental healthcare support to disease causing poverty, older age, rural households.
Advanced Control Techniques for Enhance the Power System Stability at OOS Condition
Venue: Insight Energy Science
Year: 2019

The power system stability is the accurate operation of the electric grid by restoring balance after being subjected to an abnormal condition such as fault, line switching, load rejection, and loss of excitation. Protective equipment in high voltage substations should fast and precisely localize the faults. Some abnormal conditions in the power system such as out of step (OOS) condition which is not a real fault, but the protection equipment will consider it is. This misjudgment will cause the loss of synchronism between areas within the power system or between interconnected systems and will lead to blackout of the national grid. This paper studied the OOS condition, philosophy of protection relay device and how to avoid the false operation for distance function by Out of Step Blocking (OSB) by using the advanced protection relay, to improve the stability of power system.
Expanding Marketing Place and Branding Promotion Strategy of Singfujia Real Estate
Year: 2020

This case study explores the relationships between the marketing place and branding promotion strategy of Singfujia Real Estate. Building strong brands is one of the most important goals of product and brand management (Esch, Langner, Schmitt, Geus, 2006) The research conducted in qualitative study applying in interview with the manager and the employees of the Singfujia Real Estate. The result shows that the company can create advantage by adopting strategies marketing, customer satisfaction also can be capture by using 7Ps model, company can optimize the brand through promotion and place marketing.
Logic gated approaches to extend the utility of chimeric antigen receptor T cell technology.
Venue: Biochemical Society transactions
Year: 2018

Chimeric antigen receptor (CAR) T cell therapy has been clinically validated as a curative treatment for the difficult to treat malignancies of relapsed/refractory B cell acute lymphoblastic leukaemia and lymphoma. Here, the CAR T cells are re directed towards a single antigen, CD19, which is recognised as a virtually ideal CAR target antigen because it has strong, uniform expression on cancer cells, and is otherwise expressed only on healthy B cells, which are 'dispensable' Notwithstanding the clinical success of CD19 CAR T cell therapy, its single specificity has driven therapeutic resistance in 30% or more of cases with CD19 negative leukaemic relapses. Immune checkpoint blockade is also a highly successful cancer immunotherapeutic approach, but it will be less useful for many patients whose malignancies either lack a substantial somatic mutation load or whose tumours are intrinsically resistant. Although CAR T cell therapy could serve this unmet medical need, it is beset by several major limitations. There is a lack of candidate antigens that would satisfy the requirements for ideal CAR targets. Biological properties such as clonal heterogeneity and micro environmental conditions hostile to T cells are inherent to many solid tumours. Past clinical studies indicate that on target, off tumour toxicities of CAR T cell therapy may severely hamper its application. Therefore, re designing CARs to increase the number of antigen specificities recognised by CAR T cells will broaden tumour antigen coverage, potentially overcoming tumour heterogeneity and limiting tumour antigen escape. Tuning the balance of signalling within bi specific CAR T cells may enable tumour targeting while sparing normal tissues, and thus minimise on target, off tumour toxicities.
Student Satisfaction, Performance, and Knowledge Construction in Online Collaborative Learning
Venue: J. Educ. Technol. Soc.
Year: 2012

A growing amount of research focuses on learning in group settings and more specifically on learning in computersupported collaborative learning (CSCL) settings. Studies on western students indicate that online collaboration enhances student learning achievement; however, few empirical studies have examined student satisfaction, performance, and knowledge construction through online collaboration from a cross cultural perspective. This study examines satisfaction, performance, and knowledge construction via online group discussions of students in two different cultural contexts. Students were both first year university students majoring in educational sciences at a Flemish university and a Chinese university. Differences and similarities of the two groups of students with regard to satisfaction, learning process, and achievement were analyzed.
A Proposal of a Clinically Based Classification for Idiopathic Granulomatous Mastitis
Venue: Asian Pacific journal of cancer prevention APJCP
Year: 2019

There is no consensus regarding the surgical or immunosuppressive treatment of idiopathic granulomatous mastitis (IGM) This study aimed to introduce a clinical classification system for IGM that might facilitate its treatment and predict recurrence.  We analyzed the management of 68 patients with IGM at (Princess Basma Teaching Hospital and King Abdulla University Hospital (1994 2016) to find out if distinct patterns of presentation exist according to the following parameters: presence of a painful or painless breast mass, local inflammation, abscess formation, communication to the skin, and extra mammary manifestation.  We identified four distinct patterns of IGM: A: (13.23 A hard, painless breast mass. B: (52.94 A hard, painful breast mass with gross inflammation.  A breast abscess like presentation.  A subacute presentation with ulceration, sinus, or fistula formation. Erythema nodosum might complicate any of these patterns. Wide local excision in pattern A was curative with zero recurrence rate. The recurrence rates in patterns B and C were 22.20 and 50.00 Patterns B, C, and D were treated by a combination of surgery and prednisolone. In keeping with this, recent literature is in favor of a wider use of immunosuppression especially in the presence of pus and extra mammary findings.  IGM could be classified into 4 distinct patterns according to the presenting signs and symptoms. These patterns correlated with treatment, recurrence rate, and the gross operative findings. This is the first step toward a classification for IGM. Multicenter and Meta analysis studies are essential for a comprehensive prognostic classification. Treatment of IGM in any institution should be the responsibility of a multidisciplinary team.
CO2 Transcritical Refrigeration Cycle with Dedicated Subcooling: Mechanical Compression vs. Absorption Chiller
Venue: Applied Sciences
Year: 2019

The objective of this paper is the comparison of two dedicated subcooling methods, after the gas cooler, in a CO2 transcritical refrigeration system. The use of vapor compression refrigeration with R134a for subcooling is the first method, and the second is the use of an absorption chiller that operates with a LiBr H2O working pair. The examined systems are compared energetically and exegetically with the reference transcritical CO2 refrigeration cycle without subcooling. The analysis is conducted for different operating scenarios and in every case, the system is optimized by selecting the proper temperature and pressure levels. The analysis is performed with a developed and validated model in Engineering Equation Solver. According to the final results, the use of the absorption chiller is able to decrease the system electricity consumption by about 54% compared to the simple transcritical cycle, while the decrease with the mechanical subcooling is 41% Both systems with dedicated subcooling are found to have an important increase in the system exergy performance compared to the simple transcritical cycle. However, the system with the mechanical subcooling is found to be the best choice exegetically, with a small difference from the system with the absorption chiller.
Change Detection and the Causal Impact of the Yield Curve
Year: 2018

Causal relationships in econometrics are typically based on the concept of predictability and are established in terms of tests for Granger causality. These causal relationships are susceptible to change, especially during times of financial turbulence, making the real time detection of instability an important practical issue. This paper develops a test for detecting changes in causal relationships based on a recursive rolling window, which is analogous to the procedure used in recent work on financial bubble detection. The limiting distribution of the test takes a simple form under the null hypothesis and is easy to implement in conditions of homoskedasticity, conditional heteroskedasticity and unconditional heteroskedasticity. Simulation experiments compare the efficacy of the proposed test with two other commonly used tests, the forward recursive and the rolling window tests. The results indicate that both the rolling and the recursive rolling approaches offer good finite sample performance in situations where there are one or two changes in the causal relationship over the sample period, although the performance of the rolling window algorithm seems to be the best. The testing strategies are illustrated in an empirical application that explores the causal impact of the slope of the yield curve on real economic activity in the United States over the period 1985 2013.