Miracle-dz/UniFAR-FTUs huggingface dataset:
Food and Applied Bioscience Journal

Effect of moisture content on extruded dough of green tea breakfast cereal Kamonyanun Phawatwiangnak, Rajnibhas Samakradhamrongthai, Srisuwan Naruenartwongsakul and Niramon Utama-ang 3, * _____________________________________________________________________________ Abstract The objective of this research was to investigate the effect of moisture content on properties of green tea breakfast cereal produced from rice bran using extrusion process. The main ingredients contained 93% rice flour, 2% green tea powder, 2% rice bran, 1% salt, 1% sugar and 1% calcium carbonate. The experiment was conducted by varying the initial moisture content (10, 11, 12, 13, 14, and 15% wet basis) of the mixed flour using the completely randomized design. The single screw extruder was operated at 45 rpm feed rate, 200 rpm screw speed and zone 1, 2 and 3 barrel temperatures at 115, 145 and 170°C, respectively. The RVA results showed that increasing moisture content provided the decreasing viscosity of mixed flour but increasing the setback of gels. The consumer acceptance test was examined using 9-point hedonic scaling (n=50). Result showed that consumer preferred the 10% initial moisture content of mixed flour which provided the highest acceptance percentage (83.83%) and the hedonic rating of overall liking, appearance, color, aroma, tea flavor, crispness and stickiness were 5.6±1.4, 5.1±1.4, 5.6±1.5, 5.1±1.8, 5.4±1.7, 6.9±1.4 and 6.5±1.3, respectively. The logistic regression showed that color, aroma, crispness and stickiness influenced the consumer acceptance with odd ratio at 1.32, 1.29, 1.41 and 1.38, respectively. The most acceptable extruded breakfast cereal consisted of 2.96±0.01% moisture content, L*, a* and b* of 64.23±0.81, 0.45±0.81 and 14.16±0.64, respectively, hardness of 5.88±0.09 g.f, expansion ratio of 1.72±0.09, bulk density of 0.17 ±0.00 g/ml, water solubility index of 97.08±0.02 and water absorption index of 2.31±0.01
Pre-ESRD Visit-to-Visit Systolic Blood Pressure Variability and Post-ESRD Mortality in Incident Dialysis Patients

Objectives—Higher systolic blood pressure (SBP) visit-to-visit variability (SBPV) has been associated with increased risk of adverse events in patients with chronic kidney disease (CKD), but the association of SBPV in advanced non-dialysis dependent CKD (NDD-CKD) with mortality after the transition to end-stage renal disease (ESRD) remains unknown. Methods—Among 17,729 US veterans transitioning to dialysis between 10/2007–9/2011, we assessed SBPV calculated from the standard deviation of at least three intra-individual outpatient SBP values during the last year prior to dialysis transition (“prelude period”). Outcomes included factors associated with higher prelude SBPV and post-transition all-cause, cardiovascular, and infection-related mortality, assessed using multivariable linear regression and Cox and competing risk regressions, respectively, adjusted for demographics, comorbidities, medications, cardiovascular medication adherence, SBP, body mass index, estimated glomerular filtration rate, and type of vascular access. Results—Modifiable clinical factors associated with higher prelude SBPV included higher SBP, use of antihypertensive medications and erythropoiesis-stimulating agents, inadequate cardiovascular medication adherence, and catheter use. After multivariable adjustment, higher Address for correspondence: Csaba P. Kovesdy, MD, Nephrology Section, Memphis VA Medical Center, 1030 Jefferson Ave., Memphis, TN 38104, Phone: 901-523-8990, Fax: 901-577-7539, ckovesdy@uthsc.edu. Disclosures: None of the authors have relevant conflicts of interest. HHS Public Access Author manuscript J Hypertens. Author manuscript; available in PMC 2018 September 01. Published in final edited form as: J Hypertens. 2017 September ; 35(9): 1816–1824. doi:10.1097/HJH.0000000000001376. A uhor M anscript
Assessing Green Practices and their Impact on the Environmental and Financial Performances of Construction Projects

Construction activities have been blamed as one of the polluters to the environment. Industry players are urged to adopt green practices in their projects to address this problem. Despite an increasing adoption of green practices by construction players, it is still unclear whether such practices have improved projects’ environmental and financial performances. Previous studies are not unified on whether the green practice will yield a cleaner environment and better financial outcome. This study aims to investigate the relationships between green practices implemented in construction projects and their impact on the projects’ environmental and financial performances. A structured questionnaire survey with 28 items was used to gather information about the impact of green practices on construction projects’ performances. The targeted respondents were members of a project team, such as architects, engineers, and project managers. The results revealed two areas of green practices – green project integrated practice and waste management practice, which had a significant and positive relationship with the project’s environmental and financial performances. However, the study showed insufficient evidence about the relationship between resource minimisation and the project’s environmental and financial performances. The results have provided empirical evidence about the benefit of green practices on a project’s performances and rebuts the previous findings on the negative impact of green practices on a project’s performances. The results imply that different types of green practices will have a varying degree of effect on a project’s environmental and financial performances. It is important for the clients and project manager to focus on green project integrated practices and waste management to boost the project’s environmental and financial performances. Keywords—green practice; environmental performance; financial performance; construction project
Simulations Illustrate Flaw in Inflation Modelsq

This study questions the basic assumption of standard inflation models that there are only two forces driving price changes – underlying inflation and short-term noise. Specifically, the paper analyzes the distributions of individual price changes to shed light on an apparent contradiction: individual price changes are extremely dispersed, while measured inflation, the aggregate of individual price changes, remains relatively steady. Monte Carlo simulations demonstrate that the standard inflation model is inconsistent with this observation. The author reintroduces a new inflation model that explicitly accounts for the possibility of a third price-change driver – long-term sector-specific forces. Simulations show that the new three-forces model corresponds to the data quite well. If standard inflation measures, such as the CPI, are based on an incorrect two-forces model, then Fed policy based on those measures could be misguided. Inflation measures must explicitly account for the possibility that long-term sector-specific forces drive individual price changes.
Detecting Avalanche Deposits using Variational Autoencoder on Sentinel-1 Satellite Imagery

Avalanche monitoring is a crucial safety challenge, especially in a changing climate. 1 Remote sensing of avalanche deposits can be very useful to identify avalanche 2 risk zones and time periods, which can in turn provide insights about the effects 3 of climate change. In this work, we use Sentinel-1 SAR (synthetic aperture 4 radar) data on the French Alps for the exceptional winter of 2017-18, with the 5 goal of automatically detecting avalanche deposits. We address our problem 6 with an unsupervised learning technique. We treat an avalanche as a rare event, 7 or an anomaly, and we learn a variational autoencoder, in order to isolate the 8 anomaly. We then evaluate our method on labeled test data, using an independent 9 in-situ avalanche inventory as ground truth. Our empirical results show that our 10 unsupervised method obtains comparable performance to a recent supervised 11 learning approach that trained a convolutional neural network on an artificially 12 balanced version of the same SAR data set along with the corresponding ground-13 truth labels. Our unsupervised approach outperforms the standard CNN in terms of 14 balanced accuracy (63% as compared to 55%). This is a significant improvement, as 15 it allows our method to be used in-situ by climate scientists, where the data is always 16 very unbalanced (< 2% positives). This is the first application of unsupervised deep 17 learning to detect avalanche deposits.
I. Global Aspects

From 1978 through 1999 the global average concentration of atmospheric carbon dioxide increased from 335 ppm to 368 ppm according to measurements of air samples collected at an array of ten stations extending from the Arctic to the South Pole. The global average rate of increase varied widely, however, with highest rates occurring in 1980, 1983, 1987, 1990, 1994, and 1998, all but the first of these calendar years near times of El Niño events. The C/C isotopic ratio of carbon dioxide, measured on the same air samples, varied in a similarly irregular manner, suggesting that exchange of atmospheric CO2 with terrestrial plants and soil is the dominant cause of both signals. Quantitative analysis of the data by a procedure called a ”double deconvolution” supports this hypothesis but also suggests a variable exchange with the oceans, opposite in phase to the terrestrial exchange. This result may be in error, however, because it depends on an assumption that the global average isotopic discrimination of terrestrial plants has been constant. Allowing for a variation in discrimination of only about 1‰ would eliminate the opposing fluctuations in oceanic flux, if its phasing has been opposite to that of the observed fluctuations in rate of change of CO2 concentration. In three companion articles that follow, we further deduce regional exchanges of CO2, making use of latitudinal gradients computed from the same atmospheric carbon dioxide data used in this global study.
Attitudes and Perceptions of Employees toward Corporate Social Responsibility in Western Balkan Countries: Importance and Relevance for Sustainable Development

The aim of this paper is to identify the factors that influence employees’ attitudes and perceptions of corporate social responsibilities (CSR), as well as to discuss if there are some significant differences in the application of CSR in the analyzed Western Balkan countries, especially in terms of public and private sector affiliation. This is the first academic survey which examined the employees’ attitudes and perceptions of CSR integrally in five Western Balkan countries. Multivariate factor analysis was applied to data collected from 2410 employees in the analyzed countries. In order to test additionally the results obtained by factor analysis, the Structural Equation Model (SEM) was applied. The results of the research, obtained by multivariate factor analysis and SEM model, show that the largest percentage of employees believe that the CSR concept enables the generating of new values and success of the company, as well as welfare for the whole society. Additionally, companies are increasingly recognizing the strategic importance of CSR for the sustainability of their business, as well as the importance of development of sustainable practices in the environment. Based on the results of the research, the authors found out that there were significant differences in the understanding and acceptance of CSR in the analyzed countries, while there were significantly smaller differences between the private and public sectors. The results of the research may serve as a guide for managers when making decisions about implementing the strategy and future activities regarding CSR.
Slightly Improved Lower Bounds for Homogeneous Multi-r -ic Formulas of Bounded Depth

Kayal, Saha and Tavenas (Theory of Computing, 2018), showed that any bounded-depth homogeneous formula of bounded individual degree (bounded by r ) that computes an explicit polynomial over n variables must have size exp  Ω  1 r n 4 1/∆ for all depths ∆ ≤ O  log n log r+log log n  . In this article we show an improved size lower bound of exp  Ω  ∆ r n r 2 1/∆ for all depths ∆ ≤ O  log n log r  , and for the same explicit polynomial. In comparison to Kayal, Saha and Tavenas (Theory of Computing, 2018) (1) our results give superpolynomial lower bounds in a wider regime of depth ∆, and (2) for all ∆ ∈  ω(1), o  log n log r  our lower bound is asymptotically better. This improvement is due to a finer product decomposition of general homogeneous formulas of bounded-depth. This follows from an adaptation of a new product decomposition for bounded-depth multilinear formulas shown by Chillara, Limaye and Srinivasan (SIAM Journal of Computing, 2019).
Understanding Protagonist, Causal, and Intentional Links During EFL Narrative Reading

Information in narrative texts is linked by different, multiple dimensions such as protagonist, causality, intentionality, spatiality, and temporality. However, little is known about how English as a foreign language (EFL) students understand different dimensions of narratives during reading. This study explored Japanese EFL students’ understanding of multidimensional links between narrative sentences, focusing on three important dimensions for comprehension: protagonist, causality, and intentionality. In the experiment, 35 Japanese graduates and undergraduates read narrative texts. Some of the texts contained context sentences that are consistent or inconsistent with later target sentences in terms of the three dimensions. Reading times for target sentences revealed that the participants detected inconsistencies in the causality and intentionality dimensions, indicating that they understood causal and intentional links during reading. The participants understood intentional links most stably, suggesting that intentionality has the prominent status in EFL narrative comprehension. By contrast, the participants failed to understand protagonist links.
Elements and Effects of the Corporate Governance on the Capital Structure in University Spin-Offs. Evidences from the Italian Context

Scholars remark that the funding gap is one of the most problems for the full development of university spin-offs (USOs). Thus, the choices related to the capital structure of USOs have theoretical and practical implication. The paper aims to study the emerging impact of the corporate governance on the capital structure of USOs. In detail, it was assumed that managerial ownership, board size and independent directors can negatively affect the firm’ leverage. Based on a sample of 418 Italian USOs over the period 2010-2014, the findings confirm the hypothesized effects, suggesting the critical role of the corporate governance in the financial issues of USOs. The paper provides new insights, although partial, about the corporate governance and financial dynamics of USOs.
Modeling and simulation the Zika Outbreak under Deep Uncertainty: A Multi-Method Multi-Resolution Approach

Increased incidences of microcephaly and Guillain-Barré syndrome in areas in the Americas that are hit by the ongoing recent Zika outbreak has alarmed the global community. Health authorities worldwide are urged to take effective action to prevent further spreading, while only having sparse and uncertain information on the problem and the effects of potential solutions. SD is a powerful tool in providing fast yet insightful analysis on pressing problems, however some key aspects of these problems cannot be addressed by this method alone. The objective of our modeling and simulation framework is to provide decision-makers with insights on the prevalence of Zika at different levels of aggregation. Supported by a geographic information system, our approach enables one to look into the evolution of the outbreak from a global, country-level, as well as a province-level perspective. For each province we developed an entity-based model object that allows to switch during runtime between modeling methods. Once the number of interacting individuals has passed a specified threshold, the model object switches from agent-based modeling to System Dynamics. This approach allows to reduce computational requirements dramatically without conceding on disaggregated details where this is of explicit interest, as it is in the beginning of local transmission in another region.
Concentrations of acute-phase proteins

RESUMO. [Concentração de proteínas de fase aguda e de imunoglobulinas no soro e no líquido sinovial de bovinos clinicamente saudáveis. ] O objetivo do estudo foi determinar o padrão de concentração de proteínas de fase aguda e de imunoglobulinas intra-articulares (APPs) em bovinos mestiços saudáveis. As amostras de fluido sinovial (SF) foram coletadas da articulação radiocárpica de 25 novilhas e 25 novilhos. As concentrações de APPs foram mensuradas por SDS-PAGE. Os resultados foram submetidos à análise de variância usando o programa estatístico SAS, e os meios foram comparados pelo teste Student-Newman-Keuls (P<0,05). Trinta e sete proteínas com pesos moleculares variando de 7 a 37kDa foram identificadas no SF de todos os animais. Oito foram nominalmente identificadas como imunoglobulina A (IgA) e G (IgG), ceruloplasmina (Cp), transferrina (Tf), albumina (Ab), a1-antitripsina (AAT), glicoproteína a1-ácido (AGP) e haptoglobina (Hp). A α1-antitripsina foi identificada apenas no SF das novilhas. Os valores de Cp, Hp, AGP e IgA ABSTRACT.Di Filippo P.A. , Lannes S.T. , Meireles M.A.D., Nogueira A.F. S. & Quirino C.R. 2019. Concentrations of acute-phase proteins and immunoglobulins in serum and synovial fluid in clinically healthy heifers and steers. Pesquisa Veterinária Brasileira 39(6):388-392. Laboratório de Clínicas e Cirurgia Veterinária, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Av. Alberto Lamego 2000, Campos dos Goytacazes, RJ 28013-602, Brazil. E-mail: pdf@uenf.br The aim of the study was to determine the concentration pattern of intra-articular acute phase proteins (APPs) and immunoglobulins in healthy crossbred cattle. Synovial fluid (SF) samples were collected from the radiocarpal joint of 25 heifers and 25 steers. Concentrations of APPs were measured by SDS-PAGE. The results were submitted to analysis of variance using the SAS statistical program, and means were compared by the Student-Newman-Keuls test (P<0.05). Thirty-seven proteins with molecular weights ranging from 7 to 37kDa were identified in SF of all animals. Eight were nominally identified with immunoglobulin A (IgA) and G (IgG), ceruloplasmin (Cp), transferrin (Tf), albumin (Ab), α1-antitripsin (AAT), α1-acid glycoprotein (AGP), and haptoglobin (Hp). The α1-antitripsin was only identified in the Sf of the heifers. The SF values of Cp, Hp, AGP and IgA were significantly higher in heifers than in steers. In sera, 34 proteins with molecular weights between 7 and 244kDa were identified in heifers and steers. Similar proteins were nominally identified in the sera, however the α1-antitrypsin was identified only in SF. The serum values Tf, AGP and IgG were significantly higher in heifers compared with steers. In conclusion, the physiological acute-phase proteins concentrations in synovial fluid of healthy ruminants can be useful in the interpretation of samples from animals with joint diseases. The SF electrophoretic profile of healthy ruminants differs depending on gender. Similar proteins were nominally identified in the sera, but only the SF of α1-antitrypsin.
NoPoor Project Effects of international migration and remittances on child's time allocation: Evidence from Senegal

This paper examines on the repercussions of international migration and remittances on children’s time allocation in the Senegalese households at origin using the unique 2009 household survey on migration and remittances in Senegal. We focus on children of age 6 to 15 and distinguish three activities: school attendance, paid activities and non paid activities. We account for endogeneity and selection using the Propensity matching approach. To gain a better understanding of how family migration and remittance-receipt affect children’s activities, we follow the same strategy as Amuedo-Dorantes (2010) to separate the migration from the remittance effect. We find significant positive effect of remittances on children’s school attendance. Indeed the proportion of recipient children is 5.75 % points higher than the non-recipient counterpart. The remittances effect on paid activity is also positive but relatively weak and non-significant. In contrast remittances reduce non-paid activity significantly (-2.39% points). In contrast, international impacts negatively on school attendance by promoting for both paid and non-paid activity. According to the residence area, the results show that remittances’ effect promote school attendance whatever the area but the effects are higher in rural in comparison to urban area. These results are similar to those found in Ecuador (Calero and al. (2009)). The results suggest also a differential effect of remittance according the gender. The impact of remittances on activity is higher for boys in relation to girls. These results are in line with those found in Nepal (Vogel and Korinck, 2012; Bansach and Chezum, 2009). From a policy perspective, our results underscore the importance of distinguishing between the impacts of remittances and migration in policy making. Specifically, if the objective is to raise investments in children’s human capital, policies that aimed at increasing remittance flows (e.g., by lowering remitting costs or by offering matching funds) can prove particularly helpful for developing countries impacted with extensive out-migration. JEL Classification: F22,F24, J13, J22, O15, O55
Labor Contracts, Gift-Exchange and Reference Wages: Your Gift Need Not Be Mine!

We extend Akerlof's (1982) gift-exchange model to the case in which reference wages respond to changes in the work environment such as those related to unemployment benefits or workers' productivity levels. Our model shows that these changes spur disagreements between workers and employers regarding the value of the reference wage. These disagreements tend to weaken the gift-exchange relationship thus reducing production levels and wages. We find support for these predictions in a controlled, yet realistic, workplace environment. Our work also sheds light on several stylized facts regarding employment relationships such as the increased intensity of labor conflicts when economic conditions are unstable.
Characterization and Control of Hole Missing Defect in EUV Patterning

Towards realistic adoption of EUV technology, material/process induced defect must be considerable problem. Several excellent studies have been introduced before and it mainly focused on the relation between defect number and pattern size and pattern pitch. Unfortunately, the study related defect transfer behavior have not been quite few, despite defect inspection is executed through top-down SEM. In this study, latent defect on via hole pattern, especially, the behavior of invisible hole around bottom area was focused on and we tied to clarify the exist of hidden missing defect utilizing unique RIE technique in hole image transfer onto under layer of resist film.