Miracle-dz/UniFAR-FTUs huggingface dataset:
Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes

Stomata allow CO2 uptake by leaves for photosynthetic assimilation at the cost of water vapor loss to the atmosphere. The opening and closing of stomata in response to fluctuations in light intensity regulate CO2 and water fluxes and are essential for maintaining water-use efficiency (WUE). However, a little is known about the genetic basis for natural variation in stomatal movement, especially in C4 crops. This is partly because the stomatal response to a change in light intensity is difficult to measure at the scale required for association studies. Here, we used high-throughput thermal imaging to bypass the phenotyping bottleneck and assess 10 traits describing stomatal conductance (gs) before, during and after a stepwise decrease in light intensity for a diversity panel of 659 sorghum (Sorghum bicolor) accessions. Results from thermal imaging significantly correlated with photosynthetic gas exchange measurements. gs traits varied substantially across the population and were moderately heritable (h up to 0.72). An integrated genome-wide and transcriptome-wide association study identified candidate genes putatively driving variation in stomatal conductance traits. Of the 239 unique candidate genes identified with the greatest confidence, 77 were putative orthologs of Arabidopsis (Arabidopsis thaliana) genes related to functions implicated in WUE, including stomatal opening/closing (24 genes), stomatal/epidermal cell development (35 genes), leaf/vasculature development (12 genes), or chlorophyll R es ea rc h A rt ic le Received May 05, 2021. Accepted July 26, 2021. Advance access publication August 16, 2021 VC The Author(s) 2021. Published by Oxford University Press on behalf of American Society of Plant Biologists. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial reuse, please contact journals.permissions@oup.com Open Access doi:10.1093/plphys/kiab395 PLANT PHYSIOLOGY 2021: 0: 1–19 D ow naded rom http/academ ic.p.com /plphys/advance-ar.1093/plphys/kiab395/6353038 by gest on 18 O cber 2021 metabolism/photosynthesis (8 genes). These findings demonstrate an approach to finding genotype-to-phenotype relationships for a challenging trait as well as candidate genes for further investigation of the genetic basis of WUE in a model C4 grass for bioenergy, food, and forage production.
Problem solving skills and clinical decision making among nursing interns

Recently, nurses experience many crises and are faced with a large number of problems because of the technological advancements and the increasingly complex healthcare system. When the nurses are faced with the unpredictable circumstances, they must have problem solving skills to manage these processes. Problem solving is one of the decision-making patterns. Clinical decision-making can be defined as a problem solving activity that emphasizes on defining the patient problems and selecting the appropriate treatment interventions. The aim was to identify the relation between problem solving skills and clinical-decision making of nursing interns at Suez Canal University. Subject and method: descriptive correlational design was utilized to carry out this study. The sample of the study was all the internship students in the academic year 2018/2019 who affiliated to Faculty of Nursing at Suez Canal University and spent their internship period in Suez Canal University Hospitals during the data collection period. They were 68 students. The setting was Suez Canal University Hospitals. Tools: Two tools were used. Tool (1) problem solving inventory. Tool (2) the clinical Decision Making in Nursing Scale. Results: There was a statistically significant strong correlation between problem solving skills and clinical decision-making (P<0.001) Conclusion: There was a relationship between problem solving skills and clinical decision making of nursing interns at Suez Canal University. Recommendations: problem solving skills and clinical decision-making should be included in the orientation-training program of the nursing interns.
EFFECT OF ATRIAL INFLOW CONDITIONS ON VENTRICULAR FLOW PATTERN DURING LVAD SUPPORT: A SIMULATION STUDY

Simulations of the ventricular flow patterns during left ventricular assist device (LVAD) support are mainly performed with straight inflow condition, neglecting the influence of the atrial vortex. In this study, the influence of the atrial inflow conditions – including rotation and asymmetric flow profiles – on the platelet behavior were investigated via Computational Fluid Dynamics (CFD) simulations.
Evaluation of Antibacterial, Antibiofilm and Cytotoxicity Effect of Crude Ethanolic Extract of Cuminum cyminum Against Streptococcus mutans

Although, oral health is important for its role in the overall health but oral health care does not have an integrated model. So, today meeting the needs of oral health requires strong interactions between health research policy and oral health researchThe aim of this study investigates the effects of ethanolic crud extract of Cuminum cyminum on S. mutans in terms of antibacterial, antibiofilm and, its cytotoxicity properties. The present experimental study which has conducted in 20192020. The crude alcoholic extract of Cuminum cyminum seeds was prepared by the maceration method. Then, the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of crude ethanolic extract of C. cyminum was determined by micro-dilution method according to CLSI protocol on Streptococcus mutans (PTCC1683). In addition, its antibiofilm effect was investigated by the previous method using crystal violet. As well, an MTT test was performed to evaluate its cytotoxicity on SW480 cells. Statistical analysis was done by SPSS V.22 software. MIC and MBC concentrations of C. cyminum extract on S. mutans were found to be 0.62 mg/mL and 1.25 mg/mL. The effect of inhibiting biofilm production was also observed at a concentration of 40 mg/mL. In MTT assay showed a greater cytotoxic effect on SW480 cancer cells at higher concentrations for longer periods of time. The present study showed that the cumin ethanolic crude extract has antimicrobial properties, inhibits the growth of S. mutans biofilms and has no toxic properties.
MICHAEL ADDITIONS OF NITROALKANES TO CONJUGATED KETONES, CARBOXYLIC ESTERS AND NITRILES IN WATER AND BIPHASIC CONDITIONS (WATER-DICHLOROMETHANE)

* corresponding author, e-mail: ridha.bensalem@voila.fr ; tel: (216) 74 276 400 ; fax: (216) 74 274 437 ABSTRACT: The Michael reaction involving nitroalkanes cannot occur without base and solvent. The low yields obtained in water are due to the limited solubility of nitroalkanes. To circumvent the drawback the reaction is studied in a biphasic medium (water-dichloromethane). The yields are considerably increased by addition of a phase transfer catalyst such as tetrabutylammonium chloride or bromide. The bromide being less efficient than the chloride.
Managing Quality in the E‐Service System: Development and Application of a Process Model

In this paper, we develop a process model for assessing and managing e‐service quality based on the underlying components of the e‐service system and, in turn, address the growing need to look in more detail at the system component level for sources of poor quality. The proposed process model is comprised of a set of entities representing the e‐service system, a network defining the linking between all pairs of entities via transactions and product flows, and a set of outcomes of the processes in terms of quality dimensions. The process model is developed using Unified Modeling Language (UML), a pictorial language for specifying service designs that has achieved widespread acceptance among e‐service designers. Examples of applications of the process model are presented to illustrate how the model can be use to identify operational levers for managing and improving e‐service quality.
Fast Finite Width Neural Tangent Kernel

The Neural Tangent Kernel (NTK), deﬁned as Θ fθ ( x 1 , x 2 ) = (cid:2) ∂f ( θ, x 1 ) (cid:14) ∂θ (cid:3) (cid:2) ∂f ( θ, x 2 ) (cid:14) ∂θ (cid:3) T where (cid:2) ∂f ( θ, · ) (cid:14) ∂θ (cid:3) is a neural network (NN) Jacobian, has emerged as a central object of study in deep learning. In the inﬁnite width limit, the NTK can sometimes be computed analytically and is useful for understanding training and generalization of NN architectures. At ﬁnite widths, the NTK is also used to better initialize NNs, compare the conditioning across models, perform architecture search, and do meta-learning. Unfortunately, the ﬁnite width NTK is notoriously expensive to compute, which severely limits its practical utility. We perform the ﬁrst in-depth analysis of the compute and memory requirements for NTK computation in ﬁnite width networks. Leveraging the structure of neural networks, we further propose two novel algorithms that change the ex-ponent of the compute and memory requirements of the ﬁnite width NTK, dramatically improving efﬁciency. Our algorithms can be applied in a black box fashion to any differentiable function, including those implementing neural networks. We open-source our implementations within the Neural Tangents package (Novak et al., 2020) at github.com/google/neural-tangents.
An Examination of the Relationship between Fear of Coronavirus (COVID-19) in First Year Nursing Students and Their Attitudes to the Profession

This study was conducted with the aim of determining the fear of coronavirus (COVID-19) and attitudes to the profession in first year nursing students, and examining the relationship between them. The descriptive study was conducted in April and May 2021 with first year students at the Nursing Department of Bursa Uludağ University. The research sample consisted of 156 students who participated voluntarily in the study. A Student Description Form, a Coronavirus (COVID-19) Fear Scale and an Attitude Scale for the Nursing Profession were used to collect research data. It was found that the nursing students included in the study had mean scores of 161.49±19.54 on the Attitude Scale for the Nursing Profession (ASNP) and 17.50±5.87 on the COVID-19 fear scale, and that there was a significant positive correlation between the two scores. The means scores on the ASNP and COVID-19 Fear Scale of female students and of students who experienced fear during the pandemic were significantly higher than those of other students (p<0.05). It was also determined that the attitude scores of students who had chosen the nursing department willingly were significantly higher than those of other students (p<0.05).
ASSESSMENT OF THE IMPLICATION OF LOAN DEFAULT AND RECOVERY DRIVE ON THE PROFITABILITY OF DEPOSIT MONEY BANKS IN ABUJA

The purpose of this paper was to assess the implication of loan default and recovery drive and its impact on profitability of Deposit Money Banks in Abuja. Financial institutions were selected to gather data, which was acquired from answers obtained from our administered questionnaire. The population of the survey constituted the management and non-management staff and customers of Deposit Money Banks in Abuja. Then population of the study consists 520 randomly selected nonmanagement and management staffs of Deposit Money Banks Abuja. 520 questionnaires were administered of which 501 questionnaires were recovered which serves as the sample size of the study. The collated data were analyzed using SPSS statistical software using Pearson’s correlation. Results of the study show that there is a strong relationship between problem of recovery and overdue of loans and profitability, there is a strong relationship between deficient analysis of project viability and profitability and also that there is a strong relationship between loan default and risk management policy of Deposit Money Banks. It was concluded that risk in credit creation through loan granting cannot be completely wiped out because of the futuristic nature of loan repayment schedule. It was recommended that Deposit Money banks should monitor its outstanding loans in order to identify promptly loans which a borrower fails to repay as scheduled.
Comparison of Different Methods for Carotenoid Extraction from Dunaliella Salina

Background: Dunaliella salina (D. salina) is a unicellular marine alga known for its carotenoid ingredient. Carotenoid has been used in food industry as a coloring additive and as an antioxidant. In addition, it has anticancer, antiaging, and immune-modulatory properties. Different methods have been used for extraction of carotenoids from algae. This study evaluated different extraction methods for carotenoid and compared the carotenoid yield and extraction time for procedures. Methods: In an experimental study, D. salina was isolated from Maharloo Lake in Shiraz, Iran. D. salina was centrifuged, dried, and suspended in methanol for further carotenoid extraction using different methods, namely ultrasound-assisted, supercritical fluid, microwave-assisted, electromantle, magnetic stirring, and maceration extraction methods. Results: Simultaneously, ultrasound-assisted, microwave-assisted, and electromantle extraction methods showed higher carotenoid yield and during a shorter time when compared with supercritical fluid, magnetic stirring, and maceration extraction methods. Since ultrasound-assisted extraction is a cold extraction method and ultrasound waves could release carotenoid and chlorophyll from broken cells to solvent quickly, the highest yields of carotenoid and chlorophyll were obtained during 10 min applying ultrasound-assisted extraction method. In contrast, the lowest yields of carotenoid and chlorophyll were undertaken by supercritical fluid extraction method. Conclusion: Ultrasound-assisted extraction method was demonstrated to be a promising tool to recover higher value-added compounds from D. salina. *Corresponding author: Mohammad-Taghi Golmakani, PhD; Department of Food Science and Technology, School of Agriculture, Shiraz University, Shiraz, Iran. Tel: +98-71-36138243 Email: golmakani@shirazu.ac. ir Received: July 19, 2021 Revised: November 15, 2021 Accepted: November 22, 2021 International Journal of Nutrition Sciences
Neutrophil extracellular traps in hepatocellular carcinoma are enriched in oxidized mitochondrial DNA which is highly pro-inflammatory and pro-metastatic

Background: Neutrophil extracellular traps (NETs) are net like extracellular structure formed by neutrophils in response to certain stimulation. It works as inflammatory regulator and metastasis promoter in cancer. Mitochondrial-(mt)DNA is a circular, mitochondria derived double strain molecule, which is involved in NETs formation. Its role in NETs induced inflammatory alteration in hepatocellular carcinoma (HCC) remained unexplored. Method: We evaluated the mitochondrial reactive oxygen species (mitoROS) level in peripheral neutrophils from HCC patients and the oxidative level of mtDNA in derived NETs. The association between the NETs and oxidized mtDNA was assessed to reveal their relevance. A function assay was applied to uncover how the oxidation state of mtDNA directed the metastasis promoting inflammation state in HCC cells in a NETs protein dependent manner. Finally, using animal models, we explored the potential of a therapy strategy against NETs-drove metastasis by targeting the oxidized mtDNA with metformin. Results: Neutrophils in HCC patients contained high level of mitoROS level, and formed NETs that were enriched in oxidized mtDNA in a mitoROS dependent manner. NETs and oxidized mtDNA were clinically relevant. Bound with NETs protein, oxidized mtDNA is more capable of triggering the metastasis-promoting inflammatory mediators in HepG2 cells. Targeting the oxidized mtDNA with metformin attenuated the metastasis-promoting inflammatory state and hereby undermine the metastasis capacity of HCC. Conclusion: HCC is capable to stimulate NETs enriched in oxidized mtDNA, which are highly pro-inflammatory and pro-metastatic. Oxidized mtDNA in NETs may serve as a potential anti-metastatic target by metformin therapy.
Critical Factors Influencing Consumer Online Purchase Intention for Cosmetics and Personal Care Products in Vietnam

With the rapid development of the Internet, online shopping has grown so fast that almost any good or service can be sold online today. The popularity and rapid growth of e-commerce signal a huge market opportunity for e-retailers. From the organizational perspective, it is necessary to evaluate and explore what drives customers to buy their products or to use their services. This study, therefore, aims to explain the online purchase intention and its determinants of Vietnamese customers for cosmetics and personal care products. Quantitative data was collected from an online survey conducted among university students, then was put into SPSS and AMOS for further analysis. Descriptive statistics, Cronbach’s alpha test, exploratory factor analysis (EFA), regression analysis, and SEM were used to examine data from 434 valid answers. The research findings reveal that four factors positively affect purchase intention: Shopping enjoyment has the most significant impact, followed by trust, benefit, and website quality. On the other hand, perceived risk negatively influences purchase intention. While the cosmetics and personal care industry is thriving with a huge number of producers and consumers throughout the world, this study contributes to the existing literature in terms of capturing customers’ needs and developing effective strategies to attract more online users.
Revisiting Absolute Pose Regression

OF DISSERTATION Revisiting Absolute Pose Regression Images provide direct evidence for the position and orientation of the camera in space, known as camera pose. Traditionally, the problem of estimating the camera pose requires reference data for determining image correspondence and leveraging geometric relationships between features in the image. Recent advances in deep learning have led to a new class of methods that regress the pose directly from a single image. This thesis proposes methods for absolute camera pose regression. Absolute pose regression estimates the pose of a camera from a single image as the output of a fixed computation pipeline. These methods have many practical benefits over traditional methods, such as constant inference speed and simplicity of use. However, they also have severe limitations, the most significant of which are high pose error and the fact that a network must be trained for each new scene. Despite the negatives, absolute pose regression is an exciting line of research with many potential use cases. Our work focuses on three areas. First, we investigate the use of absolute pose regression across multiple scenes. We propose a method for using a mostly shared network to perform pose regression across multiple scenes without significant increase in pose error relative to per-scene networks. With this approach, we also show how the features learned during multi-scene training do not transfer to pose regression in new scenes. Next, we propose a new convolutional network to improve the accuracy of absolute pose regression. The new network takes inspiration from traditional methods to design a network explicitly for camera pose regression. As opposed to the black box approaches used by other methods, out method results in a significant decrease in pose error. Finally, we show an application of the new method to share network weights to estimate camera pose in multiple scenes. Due to the more explicit design of the network, it is naturally partitioned into scene-dependent and scene-agnostic layers, allowing us to transfer pretrained weights to novel scenes without needing to retrained the entire network. The contribution of this thesis is a novel architecture for absolute pose regression which directly uses well known geometric relations that results in higher pose accuracy and allows for localization within novel scenes without needing to retrain the full network.
The Customer Satisfaction Index Model: An Empirical Study of the Private Healthcare Sector in Malaysia*

The main purpose of this study was to gauge the patient satisfaction index and subsequently discuss the Importance-Performance (IP) matrix analysis of the inpatient services in the context of the private hospital setting. The Malaysian Customer Satisfaction Index Model was employed as the theoretical framework for the above purposes. This study involving 242 patients in Malaysian’s private healthcare sector used a Web-based survey as the main method of data collection. Partial least square structural equation modeling (PLS-SEM) was utilized for data analysis. Using Fornell et al. (1996)’s formula, the resulting patient satisfaction index was slightly lower than the “very satisfied” category, the target level required for positioning as one of the world’s premier medical tourism players. The IP matrix showed that medical quality is the main competitive advantage of the private hospitals that can propel their growth in the global healthcare marketplace. The results also indicate that outcome quality, patient rights, and privacy, and service quality are the three quality domains that need to be prioritized for further improvement. On the other hand, the servicescape quality domain needs to be strategized as the unique selling proposition as the performance of the private hospitals in this regard is already extremely good.
The Clinic-Demographic Profile and Various Aetiologies of Visual Impairment: A Prospective Observational Study

Aim: To determine the clinical and demographic profile and various aetiologies of visual impairment. Methods: A prospective observational study was conducted in the Department of Ophthalmology, Darbhanga Medical College and Hospital, Laheriasarai, Darbhanga, Bihar, India, for 1 year. 200 patients were included in this study. History was obtained regarding any ocular complaints, and a detailed ophthalmic examination was done which included a detailed torch light examination, assessment of visual acuity using Snellen’s distance vision chart and Times New Roman near vision chart, tonometry using Schiotz tonometer, and fundus examination using direct ophthalmoscope. Results: 120 (60%) out of 200 participants were females, while 80 (40%) were males, i.e. they were almost equally distributed. The majority i.e. 140 (70%) participants used L.P.G as fuel at home; while coal, wood or cow dung was used by 46 (23%) and 14 (7%) used both. The participants studied were grouped into; no visual impairment i.e. 148(74%), visual impairment Grade 1 i.e. 31 (15.5%), Grade 2 i.e. 10 (5.5%) or blindness Grade 3 i.e.7 (3.5%), Grade 4 i.e. 3 (1.5%) based on WHO classification of low vision. Out of the 200 patients that were studied, majority i.e. 168 patients (84%) had refractive errors. In some cases, more than one type of refractive error was noted. 4 patients (2%) had a nebular corneal opacity, which had developed following trauma with an iron nail. Conclusion: Only through health education and increased public visibility can they be found and addressed as soon as possible. This will lessen the stigma of vision deficiency and blindness, which will reduce our society's economic burden.