nils-herrmann/clean_scirepeval huggingface dataset:
Whole tree chambers for elevated atmospheric CO2 experimentation and tree scale flux measurements in south eastern Australia: the Hawkesbury Forest Experiment.
Year: 2010

Resolving ecophysiological processes in elevated atmospheric CO 2 C a at scales larger than single leaves poses significant challenges. Here, we describe a field based experimental system designed to grow trees up to 9 m tall in elevated C a with the capacity to control air temperature and simultaneously measure whole tree gas exchange. In western Sydney, Australia, we established the Hawkesbury Forest Experiment (HFE) where we built whole tree chambers (WTC) to measure whole tree CO 2 and water fluxes of an evergreen broadleaf tree, Eucalyptus saligna A single E. saligna tree was grown from seedling to small tree within each of 12 WTCs; six WTCs were maintained at ambient C a and six WTCs were maintained at elevated C a targeted at ambient C a +240 mmol mol 1 All 12 WTCs were controlled to track ambient outside air temperature T air and air water vapour deficit D air During the experimental period, T air D air and C a in the WTCs were within 0.5 degC, 0.3 kPa, and 15 mmol mol 1 of the set points for 90% of the time, respectively. Diurnal responses of whole tree CO 2 and water vapour fluxes are analysed, demonstrating the ability of the tree chamber system to measure rapid environmental responses of these fluxes of entire trees. The light response of CO 2 uptake for entire trees showed a clear diurnal hysteresis, attributed to stomatal closure at high D air Tree scale CO 2 fluxes confirm the hypothesised deleterious effect of chilling night time temperatures on whole tree carbon gain in this subtropical Eucalyptus The whole tree chamber flux data add an invaluable scale to measurements in both ambient and elevated C a and allow us to elucidate the mechanisms driving tree productivity responses to elevated C a in interaction with water availability and temperature.
Is real estate an important factor in corporate valuation? Evidence from listed retail firms
Year: 2010

The purpose of this paper is to examine whether there is a systematic real estate risk factor in retail firms' common stock returns and whether this risk is priced in the stock market. In addition, whether the real estate risk sensitivities of retail stocks are linked to each firm's real estate intensity is investigated. With a sample of 556 retail firms from 15 countries and a three index model with a domestic stock market and a retail market factor, as well as a real estate risk factor as the three explanatory variables, the paper appeals to the maximum likelihood methodology of Gibbons which estimates factor sensitivity coefficients and factor risk premia simultaneously using an iterative seemingly unrelated regression (ITSUR) technique, as well as the generalized method of moments (GMM) procedure. In addition, the paper investigates whether the individual retail firms' real estate bs are affected by the firms' CRER levels and other financial characteristics, usin.
The Acceptance Model of QR Code Payment Systems in Thailand: A Proposed Model
Year: 2019

Technological developments have been playing an important role in the economic system of countries. In order to further propel the Thailand economic system, the government has a national e payment master plan to support standardized e payment systems conforming to existing technology. The QR code payment system is one of the national e payment master plan which the government is trying to push to take Thailand into a cashless society. QR code payment system for citizens in Thailand is very new technology and yet does not have many users. Thus, the purpose of this research is to develop the conceptual framework on QR code payment system in Thailand to initially identify relevant factors which influence the intention to use it for making payments. The research framework has been developed by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with trust, perceived risk (PR) and personal innovativeness in information technology (PIIT) Finally, the contribution of this study provides potential factors that could affect the acceptance of QR code payment systems in Thailand.
Adipose derived stem cells therapy effectively attenuates PM2.5 induced lung injury
Venue: Stem cell research therapy
Year: 2021

The adverse health effects of fine particulate matter (PM 2.5 exposure are associated with marked inflammatory responses. Adipose derived stem cells (ADSCs) have immunosuppressive effects, and ADSC transplantation could attenuate pulmonary fibrosis in different animal disease models. However, whether ADSCs affect PM 2.5 induced lung injury has not been investigated. Method C57BL/6 mice were exposed to PM 2.5 every other day via intratracheal instillation for 4 weeks. After that, the mice received tail vein injections of ADSCs every 2 weeks.  ADSC transplantation significantly attenuated systemic and pulmonary inflammation, cardiac dysfunction, fibrosis, and cell death in PM 2.5 exposed mice. RNA sequencing results and bioinformatic analysis suggested that the downregulated differentially expressed genes (DEGs) were mainly enriched in inflammatory and immune pathways. Moreover, ADSC transplantation attenuated PM 2.5 induced cell apoptosis and pyroptosis in the lungs and hearts.  ADSCs protect against PM 2.5 induced adverse health effects through attenuating pulmonary inflammation and cell death. Our findings suggest that ADSC transplantation may be a potential therapeutic approach for severe air pollution associated diseases.
Numerical Study on Increased Energy Density for the DLN Micromix Hydrogen Combustion Principle
Year: 2014

Combined with the use of renewable energy sources for its production, hydrogen represents a possible alternative gas turbine fuel within future low emission power generation. Due to the large difference in the physical properties of hydrogen compared to other fuels such as natural gas, well established gas turbine combustion systems cannot be directly applied for Dry Low NOx (DLN) hydrogen combustion. Thus, the development of DLN hydrogen combustion technologies is an essential and challenging task for the future of hydrogen fuelled gas turbines.The DLN Micromix combustion principle for hydrogen fuel is being developed since years to significantly reduce NOx emissions. This combustion principle is based on cross flow mixing of air and gaseous hydrogen which reacts in multiple miniaturized diffusion type flames. The major advantages of this combustion principle are the inherent safety against flashback and the low NOx emissions due to a very short residence time of reactants in the flame region of the micro flames.For the low NOx Micromix hydrogen application the paper presents a numerical study showing the further potential to reduce the number of hydrogen injectors by increasing the hydrogen injector diameter significantly by more than 350% resulting in an enlarged diffusion type flame size. Experimental data is compared to numerical results for one configuration with increased hydrogen injector size and two different aerodynamic flame stabilization design laws.The applied design law for aerodynamic stabilization of the miniaturized flamelets is scaled according to the hydrogen injector size while maintaining equal thermal energy output and significantly low NOx emissions. Based on this parameter variation study the impact of different geometric parameters on flow field, flame structure and NOx formation is investigated by the numerical study.The numerical results show that the low NOx emission characteristics and the Micromix flame structure are maintained at larger hydrogen injector size and reveal even further potential for energy density increase and a reduction of combustor complexity and production costs.(c) 2014 ASME
Representations of reliability: The rhetoric of political flip flopping
Venue: Public Relations Review
Year: 2019

This study used a qualitative analysis of political flip flops (N 141) to create a typology of rhetorical strategies for politicians who are perceived to have changed positions on political issues. The core purpose of such rhetoric is to achieve a representation of reliability. Politicians who appear to change positions must do so in a way that does not make them seem unreliable to their key stakeholders. Strategies for achieving this goal fall into four primary categories: ignore, deny, justify, and repent. Within each category are more specific tactics, such as evading questions, claiming one was misquoted, arguing one is adapting to new circumstances, or explaining that one has acquired new information about an issue. Using Bitzer's theory of the rhetorical situation, we argue that certain strategies are more appropriate than others in certain situations. We discuss the practical and ethical implications of these strategies.
Conditional Image Synthesis Using Stacked Auxiliary Classifier Generative Adversarial Networks
Year: 2018

Synthesizing photo realistic images has been a long standing challenge in image processing and could provide crucial approaches for dataset augmentation and balancing. Traditional methods have trouble in dealing with the rich and complicated structural information of objects resulting from the variations in colors, poses, textures and illumination. Recent advancement in Deep Learning techniques presents a new perspective to this task. The aim of our paper is to apply state of the art generative models to synthesize diverse and realistic high resolution images. Extensive experiments have been conducted on celebA dataset, a large scale face attributes dataset with more than 200 thousand celebrity images, each with 40 attribute labels. Enlightened by existing structures, we present stacked Auxiliary Classifier Generative Adversarial Networks (Stack ACGAN) for image synthesis given conditioning labels, which generates low resolution images (e.g. (64\times 64\ that sketch basic shapes and colors in Stage I and high resolution images (e.g. (256\times 256\ with plausible details in Stage II. Inception scores and Multi Scale Structural Similarity (MS SSIM) are computed for evaluation of the synthesized images. Both quantitative and qualitative analysis prove the proposed model is capable of generating diverse and realistic images.
Measuring orientation of human body segments using miniature gyroscopes and accelerometers
Venue: Medical and Biological Engineering and Computing
Year: 2006

In the medical field, there is a need for small ambulatory sensor systems for measuring the kinematics of body segments. Current methods for ambulatory measurement of body orientation have limited accuracy when the body moves. The aim of the paper was to develop and validate a method for accurate measurement of the orientation of human body segments using an inertial measurement unit (IMU) An IMU containing three single axis accelerometers and three single axis micromachined gyroscopes was assembled in a rectangular box, sized 20x20x30 mm. The presented orientation estimation algorithm continuously corrected orientation estimates obtained by mathematical integration of the 3D angular velocity measured using the gyroscopes. The correction was performed using an inclination estimate continuously obtained using the signal of the 3D accelerometer. This reduces the integration drift that originates from errors in the angular velocity signal. In addition, the gyroscope offset was continuously recalibrated. The method was realised using a Kalman filter that took into account the spectra of the signals involved as well as a fluctuating gyroscope offset. The method was tested for movements of the pelvis, trunk and forearm. Although the problem of integration drift around the global vertical continuously increased in the order of 0.5degs 1, the inclination estimate was accurate within 3deg RMS. It was shown that the gyroscope offset could be estimated continuously during a trial. Using an initial offset error of 1 rads 1, after 2 min the offset error was roughly 5% of the original offset error. Using the Kalman filter described, an accurate and robust system for ambulatory motion recording can be realised.
DETERMINANTS OF NON ADHERENCE TO DRUG REGIMEN AMONG TB PATIENTS ATTENDING A SPECIALIST HOSPITAL, EDO STATE NIGERIA
Year: 2020

Tuberculosis is one of the leading causes of death globally and in Nigeria that poses a threat. This study examine the determinants of nonadherence to drug regimen among TB patients in a Specialist Hospital, Edo state. The study adopted a descriptive research design. A simple random sampling technique was used in selecting the respondents of the study. The data were collected through the use of questionnaire with reliability index of 0.78. The data collected were analyzed using descriptive statistics of frequency, simple percentage and inferential statistics (chi square) The findings of the study revealed that 222 (56.6% respondents do not adhere to drug regimen while 171 (43.5% does. There was a significant relationship between distance of health facility (p=0.001) waiting time (p=0.000) absence of family support( p=0.000) forgetfulness (p=0.000) individual's occupation (p=0.000) improvement in TB symptoms( p=0.000) and non adherence to TB drugs but client provider interaction and TB drug side effect do not have a significant relationship on non adherence to TB drugs. The study recommends that government should make TB clinic should accessible by building and employing enough health workers. Also, families should be encouraged to support TB patients and TB patients on TB drugs should be educated on the needs to comply with drugs and not to discontinue it even when symptoms improve.
Effectiveness of Trigger Point Dry Needling for Plantar Heel Pain: A Randomized Controlled Trial
Venue: Physical Therapy
Year: 2014

Plantar heel pain can be managed with dry needling of myofascial trigger points; however, there is only poor quality evidence supporting its use.  The purpose of this study was to evaluate the effectiveness of dry needling for plantar heel pain.  The study was a parallel group, participant blinded, randomized controlled trial.  The study was conducted in a university health sciences clinic. Patients Study participants were 84 patients with plantar heel pain of at least 1 month's duration.  Participants were randomly assigned to receive real or sham trigger point dry needling. The intervention consisted of 1 treatment per week for 6 weeks. Participants were followed for 12 weeks. Measurements Primary outcome measures included first step pain, as measured with a visual analog scale (VAS) and foot pain, as measured with the pain subscale of the Foot Health Status Questionnaire (FHSQ) The primary end point for predicting the effectiveness of dry needling for plantar heel pain was 6 weeks.  At the primary end point, significant effects favored real dry needling over sham dry needling for pain (adjusted mean difference: VAS first step pain= 14.4 mm, 95% confidence interval [95% CI] 23.5 to 5.2; FHSQ foot pain=10.0 points, 95% CI=1.0 to 19.1) although the between group difference was lower than the minimal important difference. The number needed to treat at 6 weeks was 4 (95% CI=2 to 12) The frequency of minor transitory adverse events was significantly greater in the real dry needling group (70 real dry needling appointments [32% compared with only 1 sham dry needling appointment <1% Limitations It was not possible to blind the therapist.  Dry needling provided statistically significant reductions in plantar heel pain, but the magnitude of this effect should be considered against the frequency of minor transitory adverse events.
An Application of Bowen Family Systems Theory
Venue: Issues in mental health nursing
Year: 2014

While nurse practitioners initially work with the identified patient, Murray Bowen maintains it is the reciprocal functioning of all the members of the family which contributes to the emotional intensity of the patient. The emotional symptoms of an individual are an expression of the emotional symptoms of the family, which are often embedded in patterns of behaviors from past generations. The purpose of this paper is to facilitate understanding Bowen's theoretical concepts of family systems theory and apply these concepts to a family in therapy.
Screening for modulators of neural network activity in 3D human iPSC derived cortical spheroids
Venue: PloS one
Year: 2020

Human induced Pluripotent Stem Cells (iPSCs) are a powerful tool to dissect the biology of complex human cell types such as those of the central nervous system (CNS) However, robust, high throughput platforms for reliably measuring activity in human iPSC derived neuronal cultures are lacking. Here, we assessed 3D cultures of cortical neurons and astrocytes displaying spontaneous, rhythmic, and highly synchronized neural activity that can be visualized as calcium oscillations on standard high throughput fluorescent readers as a platform for CNS based discovery efforts. Spontaneous activity and spheroid structure were highly consistent from well to well, reference compounds such as TTX, 4 AP, AP5, and NBQX, had expected effects on neural spontaneous activity, demonstrating the presence of functionally integrated neuronal circuitry. Neurospheroid biology was challenged by screening the LOPAC(r)1280 library, a collection of 1280 pharmacologically active small molecules. The primary screen identified 111 compounds (8.7% that modulated neural network activity across a wide range of neural and cellular processes and 16 of 17 compounds chosen for follow up confirmed the primary screen results. Together, these data demonstrate the suitability and utility of human iPSC derived neurospheroids as a screening platform for CNS based drug discovery.
Antibacterial spectrum of synthetic herbal based polyphenols against Vibrio parahaemolyticus isolated from diseased Pacific whiteleg shrimp (Penaeus vannamei) in Thailand
Year: 2020

Acute hepatopancreatic necrosis disease (AHPND) was first reported as a new shrimp disease in 2009, which caused serious disease in shrimp culture with global economic losses and high rates of mortality. Vibrio parahaemolyticus (VP) was recently identified as the leading causative agent of AHPND that contains Pir toxin bearing plasmid coding toxins (PirA and PirB) Classic antibiotic treatments have been used for the control of infections, however, the frequent use of antibiotics has led to the emergence of antibiotic resistant bacterial strains of public health concern. The present study aimed to investigate the potential use of synthetic herbal based polyphenols compounds as natural, eco friendly antimicrobial agents for disease control. Polyphenols and their active ingredients were investigated against 96 VP isolates retrieved from Pacific whiteleg shrimp (Penaeus vannamei) in Thailand and compared with various commercial antibiotics using a broth microdilution method, time kill assay, and scanning electron microscope (SEM) All VP isolates were identified using conventional bacteriology and molecular based tools. Bacteriological examination revealed that all isolates harbored toxR gene with specific amplicons of 368 bp. Only 56 isolates were positive to AP3, a toxin encoding gene of AHPND VP with a fragment size of 336 bp. In terms of susceptibility, all isolates were entirely resistant to ampicillin and amoxicillin, whereas they showed different susceptibility patterns to the other tested antibiotics. Among the polyphenols, there was no apparent activity of syringic acid and rutin, while vanillic acid showed higher bactericidal activity against VP isolates at MICs and MBCs of 1024 2048 mg mL 1. Pyrogallol exhibited the strongest antibacterial activity even at very low concentrations with a MIC and MBC of 32 256 mg mL 1, and the majority of cells showed disruption and an indistinguishable cell wall structure by SEM analysis. The present study offers pyrogallol as a potential synthetic herbal based antimicrobial agent for the adoption of inventory management practices and control of V. parahemolyticus causing AHPND in shrimp producing sectors.
Wideband Beamspace Channel Estimation for Millimeter Wave MIMO Systems Relying on Lens Antenna Arrays
Venue: IEEE Transactions on Signal Processing
Year: 2019

Beamspace channel estimation is indispensable for millimeter wave MIMO systems relying on lens antenna arrays for achieving substantially increased data rates, despite using a small number of radio frequency chains. However, most of the existing beamspace channel estimation schemes have been designed for narrowband systems, while the rather scarce wideband solutions tend to assume that the sparse beamspace channel exhibits a common support in the frequency domain, which has a limited validity owing to the effect of beam squint caused by the wide bandwidth in practice. In this paper, we investigate the wideband beamspace channel estimation problem without the common support assumption. Specifically, by exploiting the effect of beam squint, we first prove that each path component of the wideband beamspace channel exhibits a unique frequency dependent sparse structure. Inspired by this structure, we then propose a successive support detection (SSD) based beamspace channel estimation scheme, which successively estimates all the sparse path components following the classical idea of successive interference cancellation. For each path component, its support at different frequencies is jointly estimated to improve the accuracy by utilizing the proved sparse structure, and its influence is removed to estimate the remaining path components. The performance analysis shows that the proposed SSD based scheme can accurately estimate the wideband beamspace channel at a low complexity. Simulation results verify that the proposed SSD based scheme enjoys a reduced pilot overhead, and yet achieves an improved channel estimation accuracy.
Assessment of impact of COVID 19 outbreak lockdown on mental health status its associated risk and protective factors in adult Indian population
Venue: medRxiv
Year: 2020

Nationwide lockdown to tackle the COVID 19 outbreak in India is anticipated to have psychological impact on the population. Our study aims to study the effect of the outbreak lockdown on mental health status of adult Indian population along with identifying high risk groups. An online survey was conducted during 3rd phase of lockdown gathering details about sociodemographic variables, precautionary measures, awareness and concerns regarding COVID 19 and mental health status through DASS21 questionnaire from 873 adults. The prevalence of depression, anxiety and stress were 18.56% 25.66% and 21.99% respectively with majority being mild depression (15.1% and stress (14.5% and moderate anxiety (16.3% Female gender, age <25 years, unemployment, self business, employed in private sector, lack of formal education, larger household size, parenthood >2 kids) were associated with increased likelihood of negative mental health. Confidence in physician's ability to diagnose COVID 19 infection, decreased self perceived likelihood of contracting COVID 19, lesser frequency of checking for information on COVID 19 and satisfaction of information received were protective against negative mental health. This landmark study identified the protective and risk factors of mental health during COVID 19 pandemic, to help authorities and mental health workers to strategize and deliver interventional methods to maintain psychosocial wellbeing of the population.