Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of antioxidant activity of some medicinal plants using oxidizing agent in acidic medium -By Colorimetry

Medicinal plants are source of natural products and the most important of the bioactive constituents are anti oxidants. In a view to determine the antioxidant activities some medicinal plants were analyzed . Antioxidants terminate the chain reactions caused by free radicals . Free radicals are generated not only by the body but are also present in the food we eat & air we breathe . In the present study a comparative evaluation of the presence of antioxidants in some medicinal plants like Azadirachta indica (neem) ocimum sanctum (tulasi or Basil ) Eucalyptus etc . was done . A detailed study was made to know the EC50 values of some medicinal plants and an attempt was made to highlight their antioxidant activities using potassium permanganate which is a powerful oxidizing agent in acidic medium by Colorimetry.
Investigating the impact of electronic health record on healthcare professionals

Article history: Received: September 9, 2020 Received in revised format: September 9, 2020 Accepted: November 3, 2020 Available online: November 3, 2020 Although there is a significant influence of implementing the electronic health records (EHR) system in Qatar, there are very limited studies reviewed and analyzed the influence of implementing the EHR system on healthcare professionals in Qatar. This research aims to assess, summarize, and analyze the influence of the EHR system in healthcare settings in Qatar. The outcome of assessing the implementation of the EHR system may have advantages and disadvantages, which can impact healthcare professionals in healthcare settings in Qatar. The main objective is to evaluate EHR on healthcare professionals in healthcare. A total number of 210 participants were selected randomly from three private hospitals in Qatar. A validated survey distributed to physicians, pharmacists, nurses, and dietitians who work in these healthcare hospitals in Qatar. The purpose is to identify whether the outcome of using the EHR system improved healthcare professionals’ work after it has shifted from using files and hand-writing paperwork to the EHR system. By applying online survey, results indicate that most healthcare professionals positively perceive the use of the EHR system as a valuable system. © 2021 by the authors; licensee Growing Science, Canada.
Detection of cotton waterlogging stress based on hyperspectral images and convolutional neural network

Waterlogging in the early stage of cotton will reduce the number of bolls and do harm to yield. Early detection of waterlogging will help farmers to adjust cotton management and save the loss. To evaluate the application of deep learning for the detection of early waterlogging, this study applied a convolutional neural network (CNN) to classify different durations of waterlogging stress (0, 2, 4, 6, 8, 10 d) based on hyperspectral images (HSIs) of cotton leaves. An experiment was designed to simulate the situation of cotton under waterlogging stress and collect HSIs of visible and near-infrared (VNIR 450-950 nm) spectra with 126 bands 66 d after cotton sowing (66 DAS). It was found the spectral curve reflectance of waterlogging cotton was higher than that of non-waterlogging cotton. Especially near 550 nm and 750 nm, and the spectral curve increased with durations of waterlogging stress and there were ‘blue shift’ phenomena for the position of the red edge of the spectra. The first principal components of HSIs after band randomly discarding and principal component analysis (PCA) were used to build a dataset. GoogLeNet Inception-v3 (GLNI-v3) and VGG-16 models were selected to detect cotton waterlogging stress with the dataset. The results showed that the average time for a round training for GLNI-v3 was 13.337 s, with a classification accuracy of 96.95% and a loss value of 0.09431. The average time for a round training for VGG-16 was 21.470 s, with a classification accuracy of 97.00% and a loss value of 0.17912. Though these two models had similar classification accuracy and loss value, GLNI-v3 achieved a high accuracy with fewer training iterations. The durations of waterlogging stress of cotton in a short-term can be detected by HSIs of cotton leaves and CNN models are suitable for the classification of HSIs, and this method can provide support for cotton yield estimation and loss assessment after waterlogging. Keywords: cotton, waterlogging, hyperspectral image, convolutional neural network DOI: 10.25165/j.ijabe. 20211402.6023 Citation: Zhao J, Pan F J, Li Z M, Lan Y B, Lu L Q, Yang D J, et al. Detection of cotton waterlogging stress based on hyperspectral images and convolutional neural network. Int J Agric & Biol Eng, 2021; 14(2): 167–174.
Experts’ consensus: pharmaco-invasive therapy for ST‐elevation myocardial infarction along with focus on secondary prevention and cardiac rehabilitation in India

In India, patients with acute coronary syndrome (ACS) tend to present with higher percentage of ST-elevation myocardial infarction (STEMI). Numerous existing challenges like patient unawareness, lack of structured STEMI care systems, inadequacy of promptly available facilities and unequipped ambulances for patient transport make it difficult to achieve optimal STEMI treatment. Also, due to socio-economic diversities prevailing in India, a large proportion of the entire population has access to only basic primary healthcare and are unable to afford proper medical facilities. Judicious and timely reperfusion strategy has been the mainstay of STEMI management. Even though, percutaneous coronary intervention (PCI) continues to be the gold standard for treating STEMI worldwide, it is not the ideal strategy in many Indian settings, especially in villages and smaller towns/cities. In such scenarios, pharmaco-invasive approach has proved to be a better reperfusion therapeutic strategy for improving treatment outcomes and subsequently reducing morbidity and mortality. The purpose of this consensus article is to highlight the clinical perspectives of Indian cardiologists at identifying and addressing the need gaps currently existing in India for optimization of STEMI treatment approaches. The experts shared their views on the rationale of pharmaco-invasive approach and highlighted the significance of commonly used thrombolytic agents, STEMI treatment protocols, secondary prevention and cardiac rehabilitation.
AN EMPIRICAL STUDY ON THE IMPACT OF INTANGIBLE ASSETS ON CASH FLOWS: A COMPARISON BETWEEN INDUSTRIAL PRODUCT SECTOR AND TRADING/SERVICE SECTOR IN MALAYSIA

With the intense competition taking place currently in globalised trading, sustainability of business has become a vital consideration for management. Conventional products and services will not suffice to satisfy the new needs of customers in respect of speediness, quality and cost. The manufacturing sector needs to undertake structural changes by incorporating more technological contents in producing high-end products. Industries do not operate in isolation. The supporting services will have to be developed in tandem with the advanced industrial sector. Innovation and sustainability necessitate research and development activities which give rise to intangible assets. Economic benefits in the form of cash are crucial for sustaining a business. Issues on the recognition and measurement of intangible assets have been controversial for years. To what extent do intangible assets bring about economic benefits in the form of cash generation to business entities? By analysing secondary data extracted from published annual financial statements with the aid of statistical software, this study examines the relationship between intangible assets and cash flows of public listed companies classified under industrial product and trading/service sector in Malaysia. The results show that there is a significant relationship between intangible assets and operating/total cash flows in both sectors. This finding justifies the creation and recognition of intangible assets in the financial statements. The findings also indicate that there is a significant difference in operating cash flows over intangible assets between industrial product sector and trading/service sector.
Intermittent Lighting Schedule effects on Broiler Production Performance and Carcass Traits

The current research aim is to examine the impact of light rhythm on development characteristics in broiler chicken before and after slaughter. One hundred and eighty-eight 11-day Ross 308 broilers were picked and reared between 11 to 42 days under an intermittent illumination schedule of either control illumination 6 hours of light: 18 hours of darkness T1 (6L:18D) or 2 hours of light: 2 hours of darkness T2(2L:2D) or 4 hours of light: 4 hours of darkness T3(4L:4D) or 6 hours of light: 6 hours of darkness T3(6L:6D). The results show that there are no significant differences for body weight and body weight gain at 23-42 days and body weight gain at 11-22days of age between treatments, but body weight in intermittent light (2L:2D) was significantly better than control group with other treatments group (P<0.05). The results also demonstrate that here is no significant difference between treatments for feed intake. Use of intermittent lighting schedule improved feed conversion ratio but not significantly (P<0.05). Also for mortality, there is no significant difference between treatments. Similarly, the chest and thigh percentage in birds reared in all photoperiods are not significantly different from each other. In addition, the dressing percentage of birds reared in the (2L:2D) treatment group is greater than measurements observed in the control or other lighting program. Therefore, we can conclude that in broiler managing, the (2L:2D) lighting schedule was preferable compared to 4L:4D, 6L:6D photoperiod and control.
Evaluation of Adaptability of Three Different Root Canal Sealers. (In Vitro Study)

Introduction: This study aimed to compare Guttaflow bioseal, MTA-Fillapex, and AH plus with regards to their adaptability on dentin surface. Methods: Thirty (n=30) single rooted human teeth were instrumented and divided into three groups according to the type of sealer used (each n=10). All root canals were obturated with lateral compaction technique. Roots were cut longitudinally and evaluated for adaptability using scanning electron microscope (SEM) at 1500x. Five readings were taken for the widest gap distances at the three thirds of the root for each specimen. Results: AH plus group showed less mean values of gap distances than the other groups at apical and middle two thirds, while GuttaFlow bioseal mean gap distance was less at the coronal one third. MTA-F group showed the higher mean values among the three thirds of the root with no significant difference. Conclusion: AH plus showed superior adaptability than GuttaFlow bioseal, while the worst was MTA-Fillapex.
Effects of semen dosage, oviductal sperm storage and insemination interval on egg fertility, embryo mortality and hatchability in Nera Black breeder chickens

The biological basis of sustaining fertility in poultry is their ability to store sperm cells in the sperm storage tubules (SST) located in the uterovaginal junction. However, artificial insemination in poultry industry is haphazardly administered in Nigeria without regulation on semen dose and frequency of insemination for optimum fertility. The objective of this study was to establish a semen dosage and insemination interval for maximum fertility and embryonic survival in Nera black layer breeder chickens. A total of 80 breeder hens (52 weeks) were allotted to five (5) treatments with four (4) replicate per treatment. Semen was pooled from 10 matured breeder cocks and inseminated to four groups of hens at varied semen dose of 0.02mL (T1), 0.04mL (T2), 0.06mL (T3) and 0.08mL (T4) of undiluted semen while hens in T5 were mated naturally, both for two consecutive days. 0.02, 0.04, 0.06 and 0.08mL of pooled semen contained 20.43×10 , 40.87×106 , 61.30×106 and 81.74×106 motile spermatozoa. Eggs were collected, stored and artificially incubated weekly for 4 weeks. Fertility, embryo mortality and hatchability parameters were determined. Another 78 breeder hens were allocated into 4 treatments of 5 replicates per treatment with unequal number of hens and were inseminated with 0.02mL of raw semen containing 20.43 × 106 motile sperm cells at 3, 6, 9 and 12 days intervals. Fertility, hatchability and embryo mortality were determined. Data were analysed using descriptive statistics and ANOVA at &0.05 Hatch of fertile eggs in T5 at week 2 (65.36±13.28) was significantly higher (p<0.05) . than T1 (33.83±12.65), T2 (13.25±6.88), T3 (39.17±14.17) and T4 (28.21±11.37). At weeks 1 and 2, there was no significant different across the treatments. Fertility at 4 weeks in T1 (11.53±6.66) was significantly (p<0.05) different from treatments T2 (0.00±0.00), T3 (0.00±0.00), T4 (1.66±1.66) and T5 (0.00±0.00). Total and early embryo mortality in week 3 was significantly higher (p<0.05) in T1 (100.00±0.00, 95.00±5.00) than in treatments T2 (43.75±0.00, 43.75±25.77), T3 (66.67±23.57, 66.67±23.57), T4 (95.00±5.00, 85.00±15.00) and T5 (37.50±23.94, 22.92±15.73). Fertility was significantly (p<0.05) higher in 3 days insemination interval (52.65±7.25) compared with 6 days (39.87±4.70), 9 days (22.98±5.71) and 12 days (36.14±6.89). At weeks 1 and 3, the hatch of fertile eggs across the treatments was not significantly (p>0.05) different from one another. This study suggests that 6 inseminating semen dose of 0.02mL containing approximately 20.43×10 motile sperm cells in Nera black layer breeder chickens will give a maximum fertile period of 5 days, while insemination interval of 3 days using 0.02mLof semen gave highest fertility level.
MEDICATION ERRORS IN CRITICAL CARE UNIT

Background: Preterm infant is a live born infant delivered before 37 completed weeks of Medication errors in critical care are frequent, serious, and predictable. Critically ill patients are prescribed twice as many medications as patients outside of the intensive care unit (ICU) and nearly all will suffer a potentially life-threatening error at some point during their stay. The aim of this article is to provide a basic review of medication errors in the ICU, identify risk factors for medication errors, and suggest strategies to prevent errors and manage their consequences.
Biblical Hebrew and Cognitive Linguistics

7 Most of the papers in this volume originated as presenta� ons at the conference Biblical Hebrew and Rabbinic Hebrew: New Perspecti ves in Philology and Linguisti cs, which was held at the University of Cambridge, 8–10th July, 2019. The aim of the conference was to build bridges between various strands of research in the fi eld of Hebrew language studies that rarely meet, namely philologists working on Biblical Hebrew, philologists working on Rabbinic Hebrew and theore� cal linguists.
Interpreting Place Attachment – The link between Emotion and “Sense of Place”

Architecture can activate emotions. Diverse design pieces of architecture can accelerate sentiments like happiness, pride, gratitude, or pessimistic state. Likewise, various types of buildings can induce astonish or can leave a positive impact on one’s mood. It becomes substantial that how designing of a place is done to accelerate for a sentimental reaction in its users. An emotion or a sentiment in architecture can commonly be connected to how well an architecture oozes a “place sense”. The sentiment or emotion evoked by a specific architectural design piece can be mended by its “Place Sense”. Usually, sense of place can assist the architecture to perceive a form of a character and this character can help to activate the sentiments and emotions in occupants of a specific building design because it relates with the occupants. Now a days the themes such as place sense, attachment to a place, place uniqueness, defining a place, has contributed in theory and many studies related to architecture and field of urban design specifically in the domain of environmental psychology. It is quite evident that in different themes and concepts, a wide range of aspects of communication between a person and a place and the impact that places leave on humans has been brought forward. This paper describes the diverse ideas of place sense and discusses the various factors that leaves impact on them. Sense of place is an integrated idea which means feeling places, perceive the places and defining attachment to them. By knowing the basic aspects of place sense, it can be productive in examining the stages of people – place attachment and inclination of public toward places. This paper further reviews the interplay between architectural design and human psychology and it’s is significant after analysing the role of emotions in Architecture. Index Terms -Architecture, Design, Psychology, Sense of place, Emotion.
Modelling Spatial Scale and Heterogeneity in the Rotterdam Housing Market using Multiscale Geographically Weighted Regression

This study investigates the spatial heterogeneity of the Rotterdam housing market, as well as the spatial scale at which the processes that explain housing prices operate. I use data on 3632 residential properties that were sold in Rotterdam in 2018 provided by the NVM. Using a recently (2017) developed technique called Multiscale Geographically Weighted Regression (MGWR), I show that certain factors explaining residential housing prices operate on different spatial scales, indicating the existence of relatively local and more global effects. Lot size and the state of maintenance of the house exterior seem to operate on a local scale, whereas the degree of isolation and number of rooms appear to be global. Comparison of the MGWR model with a regular GWR with fixed bandwidths and a global hedonic model with location fixed effects, show that the MGWR best fits the data, i.e. a model that allows the bandwidths to vary for each parameter outperforms the models that do not allow this. The realization of this thesis has been made easier by a number of people, and I’d therefore like to extend my gratitude to the following individuals: Nicola Cortinovis, for introducing me to spatial economics and for his considerate supervision and feedback; Jeroen van Haaren, for providing me with the data and for additional insights in the Rotterdam housing market; Taylor Oshan, for his time and helpful comments on circumventing technical constraints in the modelling environment; last but not least, to my friends Marc Boef and Scott Reuvers for sparring with me on programming matters and for their loyal company in the university library.
Supplementary Material: Scalable Constrained Bayesian Optimization

In Sect. 1 we describe how we leverage scalable GP regression to run SCBO and cEI with large sampling budgets. The value and scalability of our implementation is demonstrated by an experiment in Sect. 2. We summarize the hyperparameters of SCBO in Sect. 3 and give additional details on how we shrink and expand the trust region. We prove a consistency result for SCBO in Sect. 4. In Sect. 6 we show results for all baselines on the physics test problems where the objective and constraints have been transformed in the same fashion as in SCBO. Finally, Sect. 7 provides details on all benchmarks.
Research on Prediction and Modeling Method of Financial Time Series based on Deep Learning

: In this paper, we use the deep learning method to predict the rising and falling direction of the Shanghai and Shenzhen 300 index from 2012 to 2019. After feature extraction is carried out by using convolution neural network and short-term memory model on multiple time scales, the final prediction results are obtained by splicing the feature matrices on different time scales. Compared with other models, the experimental results show that the multi-time-scale CNN-LSTM model proposed in this paper can effectively improve the effect of forecasting the rise and fall of CSI 300 index and make a profit in the trading back test. The research content of this paper enriches the methods of financial time series data analysis, which can not only provide decision-making reference for investors, but also help to enhance the understanding of the laws of the financial market.
Loss Mechanisms in Turbomachines

The origins and effects of loss in turbomachines are discussed with the emphasis on trying to understand the physical origins of loss rather than on reviewing the available prediction methods. Loss is defined in terms of entropy increase and the relationship of this to the more familiar loss coefficients is derived and discussed. The sources of entropy are in general: Viscous effects in boundary layers, viscous effects in mixing processes, shock waves and heat transfer across temperature differences. These are first discussed in general and then the results are applied to turbomachinery flows. Understanding of the loss due to heat transfer requires some discussion of cycle thermodynamics. Sections are devoted to discussing: Blade boundary layer and trailing edge loss, tip leakage loss, endwall loss, effects of heat transfer and miscellaneous losses. The loss arising from boundary layer separation is particularly difficult to quantify. Most of the discussion is based on axial flow machines but a separate section is devoted to the special problems of radial flow machines.In some cases, eg attached blade boundary layers, the loss mechanisms are well understood, but even so the loss can seldom be predicted with great accuracy. In many other cases, eg endwall loss, the loss mechanisms are still not clearly understood and prediction methods remain very dependent on correlations. The paper emphasises that the use of correlations should not be a substitute for trying to understand the origins of loss and suggests that a good physical understanding of the latter may be more valuable than a quantitative prediction.Copyright © 1993 by ASME