Miracle-dz/UniFAR-FTUs huggingface dataset:
Physicochemical and sensory characteristics of brown rice (Oryza sativa) noodles substituted with mung bean (Vigna radiata) powder

Introduction: Rice noodles are widely consumed as a staple food in Asia. The main ingredient of rice noodle is polished white rice flour which lacks in nutritional components. Substitution of white rice flour with brown rice flour often results in noodles with better nutrient content but less favourable for cooking, textural and sensory characteristics. Thus, this study aimed to develop and characterise brown rice noodles substituted with mung bean powder at the level of 5% (g/100 g) and compared with other formulations. Methods: Four formulations of rice noodles were prepared using: a. 100% white rice flour; b. 100% brown rice flour; c. white rice flour with 5% mung bean powder; and d. brown rice flour with 5% mung bean powder. The rice noodles were produced by conventional extrusion method and evaluated for their proximate composition, cooking qualities and sensorial properties. Results: The results of proximate analysis indicated that protein (8.70g/100 g), dietary fibre (3.10g/100 g), ash (1.50g/100 g) and fat (2.40g/100 g) contents were significantly (p<0.05) higher in mung bean powder substituted brown rice noodles than that of white rice noodles (control). The blending of mung bean powder with brown rice flour had significantly reduced noodle cooking time and cooking loss. The sensory evaluation revealed that mung bean powder substituted brown rice noodles had similar consumer preference to control sample. Conclusion: The blending of mung bean powder with brown rice flour had substantially improved the nutritional value and cooking qualities of the brown rice noodles while maintaining consumer acceptability.
High humidity alleviates photosynthetic inhibition and oxidative damage of tomato seedlings under heat stress

This study investigated the effects of high humidity on the growth and photosynthetic and physiology traits of tomato plants under high temperature stress (HT). The results showed that high humidity effectively alleviated the limitation of HT on plant growth and increased the root-to-shoot ratio. In addition, high humidity also increased the chlorophyll content, net photosynthetic rate, and maximum photochemical quantum yield of PSII in tomato seedlings under HT stress, but declined the stomatal limitation value. Moreover, JIP-test showed that increasing air humidity improved the quantum yields and efficiencies of HT-stressed tomato plants and increased the size of functional antenna, while reduced the activity of a portion of reaction centers. Besides, high humidity increased the activity of antioxidant enzymes, but decreased the content of malondialdehyde and hydrogen peroxide in HT-stressed tomato plants. Therefore, high humidity improved the growth and alleviated photoinhibition and oxidative stress of tomato seedlings under heat stress.
MEASURING TOTAL PRODUCTIVITY OF TURKISH MANUFACTURING INDUSTRY BASED ON ACCOUNTING DATA

Productivity is still an important performance measure for the firm level and macroeconomic level. This study addresses total productivity measurement based on RAPMODS using basic accounting data for Turkish manufacturing industry for the period of 2006 to 2016. The results obtained from the analysis allows us to understand the total productivity and the source of the productivity changes related to partial productivities of the Turkish manufacturing industry. Furthermore, the potential productivity improvement areas are interpreted owing to these results.
The Antianginal Agent Ranolazine Inhibits Mitochondrial ÃÂ²-OxidationPathway

Abstract Backgrounds: Ranolazine had two main functions: blocking cardiac late sodium channels and / or inhibition of 3- ketoacyl coenzyme A thiolase, an important enzyme in s-oxidation of fatty acids. Diabetic cardiomyopathy is a complication, defined as cardiac dysfunction without the involvement of epicardial vessels. In this study, the effect of ranolazine on fatty acid oxidation was investigated in diabetic rats induced by streptozotocin. Methods: After 8 weeks of diabetic induction, the effect of ranolazine on fatty acid oxidation rate was studied. Statistical data were analyzed using Mann-Whitney test. Results: The activity of s-oxidation enzymes were inhibited by ranolazine in the normal rat hearts significantly, while no significant inhibition was seen in diabetic ones. Conclusion: Our data suggest that the clinical efficacy of ranolazine in diabetic patients is associated with a mechanism other than inhibition of the s-oxidation pathway activity, although various hypotheses exist in the literature.
148u Experimental Determination of the Liquid Phase Composition in the System CO2 / Methyldiethanolamine / H2o

Methyldiethanolamine / H2o Reda Sidi-Boumedine, Elise PROVOST, Walter FURST, Viep Hoang-Dinh, and Jean-Louis PEYTAVY Absorption of acid gases by aqueous solutions of alkanolamine is an important industrial process. The accurate design and improvement of industrial absorption and solvent regeneration columns has to take into account couplings between kinetics, mass transfer and thermodynamics. This explains the need of a thermodynamic modelling that gives an accurate and realistic representation of the speciation in the liquid phase. Due to the complexity of the amine Water Acid gases systems, the use of solubility data for the determination of model parameters is probably not sufficient to get a realistic model. Hence we have develop a new method to get both solubility data and liquid phase speciation values in the case of Alkanolamine Water Acid gases systems. These new data will allow to get realistic modellings with two consequences: (i) The use of theses modellings in extrapolation conditions will be more reliable. (ii) It will also be an help to make a choice between numerous sets of literature solubility data, which present large discrepancies.
Evaluation of Phytochemical Content, Antibacterial Properties and Anti-inflammatory Activity of Andrographis echioidies (L) Nees

Background: There is much investigation with the Andrographis paniculata which is a very wellknown medicinal plant, people were using this plant from ancient years, but this another species Andrographis echioides was not explored too much for many years. In this study we tried to find out the important phyto constitiuents, antibacterial activity and anti-inflammatory activity of this plant. Aim: The main aim of the present study, was to screen phytochemical derivatives from an Indian medicinal plant Andrographis echioides (L) Nees and to evaluate the antibacterial potential, and anti-inflammatory activity also. Original Research Article Roy et al.; EJMP, 31(1): 1-10, 2020; Article no.EJMP. 53978 2 Study Design: Various tests or experiment was done in this study according to the review of the literature with little modification, a preliminary phytochemical screening was carried out in the plant extracts using qualitative methods. The whole plant of Anrographis echioides was subjected to soxhlet extraction using organic solvent of methanol, acetone, and petroleum ether. The antibacterial activity of acetone, methanol and petroleum ether whole plant extracts of Andrographis echioides was carried out using agar well diffusion method, anti-inflammatory activity was checked using fresh egg albumin method, and a statistical analysis was done using SPSS to prove that there is a strong correlation between the activity of our plant sample and a standard commercial drug (NASID). Place and Duration of the Study: The whole study was done in Panskura Banamali College, Vidyasagar University, Department of Biotechnology sponsored by BOOST, Louis Pasteur laboratory, West Bengal, India. The study was done between 17 th August 2018 30 th February 2019. Results: All these tests were done triplicate and the mean value was taken. The phytochemical analysis reveals that the plant has some important phytoconstituents such as Tannins, flavonoids, phenolic compounds, glycosides and terpenoids. The Acetone and Methanol extracts are showed the best zone of inhibition against the severe pathogens such as S. aureus (A.E-33 mm, M.E-28 mm), S. typhi (A.E26.67 mm, M.E-28.33 mm). The methanolic extract of Andrographis echioides showed excellent anti-inflammatory activity comparing to the NASID (Non-steroidal antiinflammatory drugs) Diclofenac sodium, it showed almost same activity. Conclusion: Experimental findings reveal Andrographis echioides is the best herbal to control specially S. typhi, E. coli, S. aureus, K. pneumoniae. The phytochemical constituents which are responsible for many pharmacological activities, may be useful for the evolution of pharmaceutical and for the therapy of ailments, and also can used as a an potent anti-inflammatory natural remedy without any side effect.
ANALYSIS OF WIND CONDITIONS AROUND A BUILDING DEVELOPMENT AS A PART OF ITS FORM DESIGNING PROCESS, A CASE STUDY

Abstract Aerodynamic phenomena that occurs around building developments exert a significant impact on the quality of climate in cities. Environmental wind engineering is a dynamically developing field of knowledge that offers a chance to study and, in consequence, regulates the air flow around buildings and complexes of building developments. The following paper discusses the issue of wind conditions that may be experienced on pedestrian level. Such conditions should allow for a proper ventilation of city spaces, at the same time eliminating uncomfortable, sudden accelerations in the wind speed and wind turbulence. The present paper discusses whether it is possible to include the above mentioned issues in the process of urban and architectural design of medium-high urban building development units on the example of a particular project. The paper is aimed to test the validity of the use of aerodynamic tests and the possibilities of their introduction in the conceptual phase of architectonic design. Design methods based on the realities of common practices and legal conditions in Poland have been juxtaposed to research methods in the field of aerodynamics. Experimental studies in wind tunnel, using oil visualization method have been applied, as such a method allows to promptly arrive at a qualitative identification of the airflow around the building on pedestrian level.
In vitro Antioxidant Activities and Effect of Hydroethanolic and Aqueous Extracts of Terminalia avicennioides (Combretaceae) on Salmonella

Today, Typhoid fever remains a public health problem in developing countries due to the poor quality of lifestyle associated with abusive and inappropriate use of antibiotics. Aims: Considering the ethnopharmacological relevance of Terminalia avicennioides (T. avicennioides) (Combretaceae), this study was designed to investigate the in vitro antisalmonella and antioxidant activities of various extracts of this plant. Methodology: The microdilution method was used to determine the Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC) of T. avicennioides extract. Original Research Article Famen et al.; MRJI, 30(1): 1-14, 2020; Article no.MRJI. 53899 2 These extracts were also subjected to in vitro antioxidant tests such as diphényl-2-picrylhydrazyle (DPPH) radical scavenging test, ferric reducing-antioxidant power (FRAP), hydroxyl radical (OH) nitric oxide (NO) and Hydrogen Peroxide Scavenging Capacity. Results: In vitro antisalmonella activity reveals that T. avicennioides stem bark extracts presented MIC values ranging from 64 to 512 μg / mL on tested microorganisms. This extract exhibited a good ability to trap DPPH with an IC50 of 8.30 μg / mL. The iron reducing power obtained with this extract had ODs ranging from 0.96 to 1.63. Phytochemical screening showed the presence of alkaloids, flavonoids, saponins, phenols anthocyanin and anthraquinone in all the extracts. Conclusion: The results suggest that stem extract of T. avicennioides contains antisalmonella and antioxidant substances, which could be used for the treatment of typhoid fever and another salmonellosis.
Evaluating two soil carbon models within a global land surface model using surface and spaceborne observations of atmospheric CO2 mole fractions

Abstract. The trajectories of soil carbon (C) in the changing climate are of utmost importance, as soil carbon is a substantial carbon storage with a large potential to impact the atmospheric carbon dioxide (CO2) burden. Atmospheric CO2 observations integrate all processes affecting C exchange between the surface and the atmosphere. Therefore they provide a benchmark for carbon cycle models. We evaluated two distinct soil carbon models (CBALANCE and YASSO) that were implemented to a global land surface model (JSBACH) against atmospheric CO2 observations. We transported the biospheric carbon fluxes obtained by JSBACH using the atmospheric transport model TM5 to obtain atmospheric CO2. We then compared these results with surface observations from Global Atmosphere Watch (GAW) stations as well as with column XCO2 retrievals from the GOSAT satellite. The seasonal cycles of atmospheric CO2 estimated by the two different soil models differed. The estimates from the CBALANCE soil model were more in line with the surface observations at low latitudes (0 N–45 N) with only 1 % bias in the seasonal cycle amplitude (SCA), whereas YASSO was underestimating the SCA in this region by 32 %. YASSO gave more realistic seasonal cycle amplitudes of CO2 at northern boreal sites (north of 45 N) with underestimation of 15 % compared to 30 % overestimation by CBALANCE. Generally, the estimates from CBALANCE were more successful in capturing the seasonal patterns and seasonal cycle amplitudes of atmospheric CO2 even though it overestimated soil carbon stocks by 225 % (compared to underestimation of 36 % by YASSO) and its predictions of the global distribution of soil carbon stocks was unrealistic. The reasons for these differences in the results are related to the different environmental drivers and their functional dependencies of these two soil carbon models. In the tropical region the YASSO model showed earlier increase in season of the heterotophic respiration since it is driven by precipitation instead of soil moisture as CBALANCE. In the temperate and boreal region the role of temperature is more dominant. There the heterotophic respiration from the YASSO model had larger annual variability, driven by air temperature, compared to the CBALANCE which is driven by soil temperature. The results underline the importance of using sub-yearly data in the development of soil carbon models when they are used in shorter than annual time scales.
Opportunities for Immersive Virtual Reality in Rehabilitation: Focus on Communication Disability

Virtual reality (VR) technologies are emerging as novel platforms for physical and cognitive interventions, though applications in communication rehabilitation are scarce. Consultation with end-users on implementation of VR in clinical contexts is a vital first step to investigating the feasibility VR in communication rehabilitation. The aim of this study was to explore the views of professionals with expertise in health, rehabilitation, and VR technology, on the populations that might benefit from VR-based rehabilitation, and potential barriers and facilitators to their use of VR. Thematic content analysis of one interdisciplinary focus group and one in-depth interview identified two content themes relating to the use of VR in rehabilitation, and four themes related to the use of VR to maximize its clinical benefit and uptake. Consideration of these results in the development of VR programs in rehabilitation might lead to better acceptance and implementation of VR for improved health and participation outcomes.
Structural and functional insights into thermally stable cytochrome c0 from a thermophile

Thermophilic Hydrogenophilus thermoluteolus cytochrome c0 (PHCP) exhibits higher thermal stability than a mesophilic counterpart, Allochromatium vinosum cytochrome c0 (AVCP), which has a homo-dimeric structure and ligand-binding ability. To understand the thermal stability mechanism and ligand-binding ability of the thermally stable PHCP protein, the crystal structure of PHCP was first determined. It formed a homo-dimeric structure, the main chain root mean square deviation (rmsd) value between PHCP and AVCP being 0.65 Å. In the PHCP structure, six specific residues appeared to strengthen the heme-related and subunit–subunit interactions, which were not conserved in the AVCP structure. PHCP variants having altered subunit–subunit interactions were more severely destabilized than ones having altered heme-related interactions. The PHCP structure further revealed a ligand-binding channel and a penta-coordinated heme, as observed in the AVCP protein. A spectroscopic study clearly showed that some ligands were bound to the PHCP protein. It is concluded that the dimeric PHCP from the thermophile is effectively stabilized through heme-related and subunit–subunit interactions with conservation of the ligand-binding ability. Brief Summary: We report the X-ray crystal structure of cytochrome c0 (PHCP) from thermophilic Hydrogenophilus thermoluteolus. The high thermal stability of PHCP was attributed to hemerelated and subunit–subunit interactions, which were confirmed by a mutagenesis study. The ligand-binding ability of PHCP was examined by spectrophotometry. PHCP acquired the thermal stability with conservation of the ligand-binding ability. This study furthers the understanding of the stability and function of cytochromes c.
The nexus between accessibility to physical activity resources and participation in leisure time physical activities in Addis Ababa, Ethiopia

The purpose of this study was to investigate the nexus between accessibility of public sport and recreational facilities and the level of participation of adult residents in physical activities in Nefas Silk Lafto sub-city in Addis Ababa. The study participants were adult residents (n=384) living in the sub-city, experts (n=32) and heads (n=3) of the Department for Sport Facility Development. We used questionnaires, interview, and observations to collect the data and descriptive method and chi-square tests were employed for analysis. The results show that adult residents had poor access to physical activity resources in their neighbourhoods and poor access had a significant association (=30.6, p<.05) with participation of the residents in LTPA. Interventions initiated by the local governments to promote exercise behavior of the residents in the study area should pay attention to provide access to supportive physical activity resources.
Transformative Approach Using Multiple Kernels SVM – Map Reduce for Sentiment Analysis Based Text Mining in Big Data

--Sentiment Analysis is the process for determining the semantic orientation of the reviews. There are many algorithms existing for the sentiment classification. Support Vector Machines (SVM) are a specific type of machine learning algorithm used for many statistical learning problems, such as text classification, face and object recognition, handwriting analysis, spam filtering and many others. We have studied the SVM as the recent machine learning method for sentiment classification, this method later suppressed by using feature extraction method. In this paper we are extending SVM and investigating the method by adding the parallel processing methods of sentiment classification such as MapReduce and Hadoop. The combinational evaluation method of SVM with and without MapReduce is presented in this work.
University of Southern Denmark Development and Progression in Danish eHealth Policies Towards Evidence-Based Policy Making

In order to realise the potential benefits of eHealth, governments develop eHealth policies to define and prioritise initiatives, the strategic goals and the resulting benefits. During the 23 years with eHealth policies in Denmark only a few status reports with a systematic and transparent evaluation have been made. This paper advocates a more systematic approach to strategic planning of development and implementation of eHealth systems, by encouraging the concept of evidence-based policy making through analysis of how focus of the Danish eHealth policies have evolved. The Danish eHealth policies have very different framings following the different focus points for the policies. Interestingly, strategies for evaluating the devolopment of eHealth and eHealth policies were very sparcely noted in the policies. For the first time the deemphasising of evaluations of eHealth policies in Denmark has been empirically demonstrated, thus undermining the objective of obtaining evidence-based eHealth policies.
Identifying Citation Sentiment and its Influence while Indexing Scientific Papers

Sentiment analysis has proven to be a popular research area for analyzing social media texts, newspaper articles, and product reviews. However, sentiment analysis of citation instances is a relatively unexplored area of research. For scientific papers, it is often assumed that the sentiment associated with citation instances is inherently positive. This assumption is due to the hedged nature of sentiment in citations, which is difficult to identify and classify. As a result, most of the existing indexes focus only on the frequency of citation. In this paper, we highlight the importance of considering sentiment of citation while preparing ranking indexes for scientific literature. We perform automatic sentiment classification of citation instances on the ACL Anthology collection of papers. Next, we use the sentiment score in addition to the frequency of citation to build a ranking index for this collection of scientific papers. By using various baselines, we highlight the impact of our index on the ACL Anthology collection of papers. Our research contributes toward building more sentiment sensitive ranking index which better underlines the influence and usefulness of research papers.
Understanding the Influence of Cultural Dimensions on the Interpretative Ability of People to Infer Personality from the Avatars: Evidence from Cultural Dimensions of Greece, Pakistan, Russia, and Singapore

Avatar is a customized cartoon representation of the self and many people develop inferences about individuals’ online representations through their avatar’s facial appearance. Research has shown that avatars can signal information about the personality and social desires of a person [1]. Nonetheless, customizing an avatar enables control of selfrepresentation that could potentially moderate the true personality traits of an individual. The customized facial appearance of the avatar affects people’s ability to draw expressions [2], whereas, several cultural dimensions affect the interpretative ability of the people to construct personality inferences from the facial appearance of avatars. We found a significant relationship between neuroticism to uncertainty avoidance and masculinity, whereas, negative relationships were found between extraversion and masculinity, and agreeableness to uncertainty avoidance. The study uses three-dimensional avatars to capture detailed features and expressions on avatar
Evidence for $t\bar{t}t\bar{t}$ production in the multilepton final state in proton-proton collisions at $\sqrt{s}$=13 TeV with the ATLAS detector

A search is presented for four-top-quark production using an integrated luminosity of 139 fb$^{-1}$ of proton-proton collision data at a centre-of-mass energy of 13 TeV collected by the ATLAS detector at the LHC. Events are selected if they contain a same-sign lepton pair or at least three leptons (electrons or muons). Jet multiplicity, jet flavour and event kinematics are used to separate signal from the background through a multivariate discriminant, and dedicated control regions are used to constrain the dominant backgrounds. The four-top-quark production cross section is measured to be 24$^{+7}_{-6}$ fb. This corresponds to an observed (expected) significance with respect to the background-only hypothesis of 4.3 (2.4) standard deviations and provides evidence for this process.