Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Characterization, Gene Evolution and Expression Analysis of the F-Box Gene Family in Tomato (Solanum lycopersicum)

F-box genes play an important role in the growth and development of plants, but there are few studies on its role in a plant’s response to abiotic stresses. In order to further study the functions of F-box genes in tomato (Solanum lycopersicum, Sl), a total of 139 F-box genes were identified in the whole genome of tomato using bioinformatics methods, and the basic information, transcript structure, conserved motif, cis-elements, chromosomal location, gene evolution, phylogenetic relationship, expression patterns and the expression under cold stress, drought stress, jasmonic acid (JA) treatment and salicylic acid (SA) treatment were analyzed. The results showed that SlFBX genes were distributed on 12 chromosomes of tomato and were prone to TD (tandem duplication) at the ends of chromosomes. WGD (whole genome duplication), TD, PD (proximal duplication) and TRD (transposed duplication) modes seem play an important role in the expansion and evolution of tomato SlFBX genes. The most recent divergence occurred 1.3042 million years ago, between SlFBX89 and SlFBX103. The cis-elements in SlFBX genes’ promoter regions were mainly responded to phytohormone and abiotic stress. Expression analysis based on transcriptome data and qRT-PCR (Real-time quantitative PCR) analysis of SlFBX genes showed that most SlFBX genes were differentially expressed under abiotic stress. SlFBX24 was significantly up-regulated at 12 h under cold stress. This study reported the SlFBX gene family of tomato for the first time, providing a theoretical basis for the detailed study of SlFBX genes in the future, especially the function of SlFBX genes under abiotic stress.
Superabsorbent polymeric materials. I. Swelling behaviors of crosslinked poly(sodium acrylate‐co‐hydroxyethyl methacrylate) in aqueous salt solution

A series of crosslinked poly(sodium acrylate-co-hydroxyethyl methacrylate) based on sodium acrylate (SA), 2-hydroxyethyl methacrylate (HEMA), and N,N′-methylene-bis-acrylamide (NMBA) are prepared by inverse suspension polymerization. The resultant crosslinking polymers are xerogellants. This work investigates not only the absorbency or swelling behavior for these xerogellants composed of different ratios of HEMA/SA in water, but also the effects of various salts and pH values on the swelling properties. Experimental results indicate that the absorbency in deionized water decreases with an increase in the HEMA in copolymeric gel, which is related to the degree of expansion of the network and the strength of the hydrophilic group. The absorbency in the chloride salt solutions decreases with an increase in the salt concentration (swelling is 50 times for the IA group chloride salt solutions, but is less than 5 times for the IIA group salt solution), owing to the osmosis of water and ions between the polymeric gel and the external solution. A decrease in the extent of swelling occurs for divalent and trivalent chloride salt solutions. For the salt solutions of the same ionic strength, the swelling amount has the following tendency: LiCl(aq) = NaCl(aq) = KCl(aq), CaCl2(aq) Ca2+ > Zn2+ > Cu2+. These orders are related to the complexing ability between metallic cations and the carboxylate group in the polymeric chains. Finally, the adsorption of ferric ion by these gels is also investigated. © 1996 John Wiley & Sons, Inc.
No relation between drought stress and ethylene production in Norway spruce

The relationship between water availability and ethylene production was studied in 24-year-old trees of Norway spruce [Picea abies (L.) Karst. ] growing on experimental plots with different water availability. Ethylene and oxygen were collected from the cambial/xylem region and heartwood in the stem using non-destructive sampling methods. Xylem sap flow was measured in stems using a heat-balance technique. Pre-dawn water potential of shoots was used to assess the water status of the trees. Growth was calculated from increments in stem basal area. The highest ethylene concentrations were found in irrigated trees that also, as compared to the other treatments, showed the most rapid flow rate of sap, the highest pre-dawn water potential, and the most rapid growth. By contrast, the lowest ethylene concentrations were measured in trees to which artificial drought was induced. Such trees also showed the lowest water transport, lowest water potential and relatively slow growth. Thus, no signs of drought-induced ethylene production were found in this study, contrary to the general contention of a positive relation between drought stress and ethylene production.
Effect of the protonation and of the ortho substitution on the structure of aryliminophosphoranes

C 24 H 21 NP + . BF 4 - cristallise dans Pn avec a=24,6077, b=9,0071, c=10,0690A, β=100,824°, Z=4; affinement jusqu'a R=0,045. C 24 H 21 N 2 P cristallise dans I2/a avec a=30,4088, b=11,5561, c=22,9996A, β=101,437°, Z=16; affinement jusqu'a R=0,041. L'allongement de la liaison P=N dans le premier compose reflete l'addition d'un proton sur l'un des atomes N. Les deformations angulaires endo- et exocycliques du cycle benzene en C(1) pourraient provenir du caractere donneur d'electrons du groupement iminophosphorane et, aussi, dans le deuxieme compose, de la liaison hydrogene intramoleculaire N-H.N
Numerical Investigation of the Effect of Partially Propped Fracture Closure on Gas Production in Fractured Shale Reservoirs

Nonuniform proppant distribution is fairly common in hydraulic fractures, and different closure behaviors of the propped and unpropped fractures have been observed in lots of physical experiments. However, the modeling of partially propped fracture closure is rarely performed, and its effect on gas production is not well understood as a result of previous studies. In this paper, a fully coupled fluid flow and geomechanics model is developed to simulate partially propped fracture closure, and to examine its effect on gas production in fractured shale reservoirs. Specifically, an efficient hybrid model, which consists of a single porosity model, a multiple porosity model and the embedded discrete fracture model (EDFM), is adopted to model the hydro-mechanical coupling process in fractured shale reservoirs. In flow equations, the Klinkenberg effect is considered in gas apparent permeability, and adsorption/desorption is treated as an additional source term. In the geomechanical domain, the closure behaviors of propped and unpropped fractures are described through two different constitutive models. Then, a stabilized extended finite element method (XFEM) iterative formulation, which is based on the polynomial pressure projection (PPP) technique, is developed to simulate a partially propped fracture closure with the consideration of displacement discontinuity at the fracture interfaces. After that, the sequential implicit method is applied to solve the coupled problem, in which the finite volume method (FVM) and stabilized XFEM are applied to discretize the flow and geomechanics equations, respectively. Finally, the proposed method is validated through some numerical examples, and then it is further used to study the effect of partially propped fracture closures on gas production in 3D fractured shale reservoir simulation models. This work will contribute to a better understanding of the dynamic behaviors of fractured shale reservoirs during gas production, and will provide more realistic production forecasts.
Catalytic activity of hexagonal MoO3 modified with silver, palladium and copper

Abstract Catalytic activity of solvothermally-synthesized hexagonal molybdenum trioxide (h-MoO3) in epoxidation of 1-octene by tert-butyl hydroperoxide and the effect of deposition of metal (Ag, Pd, Cu) nanoparticles on the properties of catalyst have been investigated. It has been shown that silver-modified MoO3 demonstrates the highest catalytic activity and selectivity in the reaction of 1,2-epoxyoctane formation, whereas MoO3 modified with Pd nanoparticles exhibits worse catalytic performance than bare MoO3; by contrast, copper-modified MoO3 does not catalyze the epoxidation reaction. The Ag/MoO3 catalyst was also found to be active in the reaction of 1-octene oxidation by molecular oxygen at the initial stage of the oxidation process. Graphical Abstract
Traffic-based reinforcement learning with neural network algorithm in fog computing environment

Reinforcement learning is a technology that can present successful and creative solutions in many areas. This reinforcement learning technology was used to deploy containers from cloud servers to fog servers to help them learn the maximization of rewards due to reduced traffic. Leveraging reinforcement learning is aimed at predicting traffic in the network and optimizing traffic-based fog computing network environment for cloud, fog and clients. The reinforcement learning system collects network traffic data from the fog server and IoT. Reinforcement learning neural networks, which use collected traffic data as input values, can consist of Long Short-Term Memory (LSTM) neural networks in network environments that support fog computing, to learn time series data and to predict optimized traffic. Description of the input and output values of the traffic-based reinforcement learning LSTM neural network, the composition of the node, the activation function and error function of the hidden layer, the overfitting method, and the optimization algorithm.
SmartTuning: Selecting Hyper-Parameters of a ConvNet System for Fast Training and Small Working Memory

It is desirable to deploy a ConvNet system with high inference accuracy, as well as fast training and small inference memory. However, existing approaches to hyper-parameter tuning only focus on high accuracy. Although achieving high accuracy, tuning poorly can significantly increase the performance burden, and thus degrade the overall performance of a ConvNet system. In this article, we propose SmartTuning, an approach to identifying the hyper-parameters of a ConvNet system for high training speed and small working memory, with the restriction of high inference accuracy. The key idea of SmartTuning is to build a new performance model for a ConvNet system, and to integrate Bayesian Optimization to learn the relationship between the overall performance and the hyper-parameters of a ConvNet system. In this way, SmartTuning can balance inference accuracy, training speed and inference memory usage during the tuning process, and thus maximizes the overall performance of a ConvNet system. Our experiments show that SmartTuning can stably identify the hyper-parameter sets that offer very close accuracy with faster training speed (i.e., 7×–11× over MNIST and 2×–3× over CIFAR-10) and much less inference memory usage (i.e., 17×–23× over MNIST and 4×–9× over CIFAR-10), compared with existing tuning approaches.
Increasing Students Awareness of Safety Designing Workplace Base on Ergonomic Principle Using Video

The study aims to measure the level of students' understanding of ergonomics' principles with video. This research uses a descriptive quantitative method with the survey method. This research involved six students of the Faculty of Engineering and Vocational Education, especially Mechanical Engineering at Universiti Tun Hussein Onn Malaysia (UTHM). The data were obtained using a gradual questionnaire. The first stage before the respondent watched the learning video and after watching the ergonomic learning video for 15 minutes. The questionnaires were distributed randomly to students without choosing a gender. The instrument was compared before and after watching the video. The instrument was then analyzed using descriptive statistical analysis whereby the frequency and percentage are used to analyzed data. Learning video helps students to understand basic ergonomics principles easily. Input from the concept of this video is made to make fun and easy to understand by students. This study's purpose is achieved because it measures students' knowledge about the principle of ergonomics increasing after watching a video. The results show that student knowledge increases after watching the video Basic Ergonomics Principles at Work. Video learning can help students design a better understanding of basic ergonomics principles compared to entering the classroom.
An Epidemiological Survey Regarding Ticks and Tick-Borne Diseases among Livestock Owners in Punjab, Pakistan: A One Health Context

Recent global changes have led to an increase in the spread of ticks and tick-borne diseases (TBDs) affecting domestic ruminants and humans, with an annual loss of US $13.9–$18.7 billion. The current study determined the perception and practices of livestock farmers regarding tick infestation. A total of 112 livestock farms were surveyed in Punjab, Pakistan, among which animals from 42 (37.5%) farms were infested with ticks. Only 28.6% (n = 32) of the dairy farmers were consulting veterinarians for ticks control, while 86.7% (n = 97) of the respondents did not consider biosecurity measures in the control of tick transmission. Most of the respondents, 71.4% (n = 80), did not consider manual tick removal from their animals (i.e., by hand, followed by physically crushing) as a risky practice for spreading zoonotic diseases. Improper disposal of bottles of acaricides in the farm drainage was also observed, putting the environment and aquatic life at risk. These wrong practices may contribute to high disease burdens and economic losses, increasing the possibility of transmission of zoonotic TBDs and pollution of the environment. Therefore, an integrated One Health approach is required for the control of TBDs through environmentally friendly approaches.
Schools in the time of COVID-19: Possible implications for enrolment, repetition and dropout

One needs good quality data on current enrolment, dropout and repetition in order to evaluate the possible implications of different repetition and dropout decisions by school authorities, learners and parents for enrolment numbers and for the composition of classes in 2021. We obtained learner level data from LURITS, a relative recent way of organising and managing enrolment data that has superseded the Annual National Census of Schools. Though far from perfect, this data give good information about the extremely high levels of repetition. High repetition leads to many learners being over-aged and to dropout being quite common in secondary school. Assessing various alternative scenarios about learners returning to school, repetition and dropout, we conclude that the most likely outcome for 2021 is that considerably more learners would be promoted to grades 11 and 12 in particular, with implications for allocations of classrooms, books and teachers, with a decline of repetition in Grade 10. Learners in all grades would have a learning deficit compared to previous years, but in addition, the heterogeneity of academic backgrounds would be even greater than usual in 2021 in the final two grades, confronting teachers with an even more difficult task than usual.
Suppression of hot carriers by nanoporous silicon for improved operation of a solar cell

The surface of a silicon solar cell is modified to improve its photovoltaic characteristics. Nanostructured porous silicon layer is formed on a front n + -type surface of a p–n junction by means of electrochemical etching accompanied by illumination with a high-power light-emitting diode operating at the wavelength of 365 nm. Addition of the porous layer results in considerable increase in the capacitive photovoltage across the p–n junction. This increase is shown to be stipulated by reduced photonic losses due to anti-reflection coating effect of the porous layer, as well as by decreasing adverse effect of hot carriers on the photovoltage. Broadening of the spectrum of capacitive photovoltage towards the short-wavelength region was observed. This finding is associated with the graded-gap character of the porous layer and photovoltage formation across it as well as with increased absorption of high-energy photons in the porous layer and resulting weaker heating of free carriers.
Bridge over troubled water: the apparent discrepancy between simulated and experimental non-ambient water structure

Recent neutron diffraction experiments, which exploit hydrogen isotope substitution techniques to extract the HH, OH and OO site - site radial distribution functions for water, indicate that as the temperature of water is raised above the critical point, the hydrogen-bonding network, as measured by the height of the first peak in the OH distribution function, collapses. Several computer simulations, however, dispute the accuracy of the experimentally determined distribution functions: they show that the measured data cannot be obtained from any physical arrangement of water molecules. By applying additional constraints on the small-radius behaviour of the radial distribution functions, and by repeating some of the experiments under different experimental conditions, the accuracy of the extracted radial distribution functions has now been improved. The new distribution functions, while not qualitatively different from what has already been published, satisfy the fundamental objection to the previous results, namely they can be simulated with physical assemblies of water molecules. These simulated distributions of molecules indicate a weak degree of hydrogen bonding in water at 673 K which is greatly reduced compared to that in the hydrogen-bond network of ambient water. The analysis is supported by a new computer simulation of water structure using an `empirical' water interaction potential, which contains none of the long-range features of traditional charge models, such as SPC/E. This short-range potential is able to reproduce most features of the experimental data to good accuracy, even under supercritical conditions.
Towards A Framework for Development of Operational and Maintenance Cost Model of Highway Project in Malaysia

A major role of cost model is to ensure that the resource being handled is maintainable, functional and secure. The last decade has shown that attention to the idea of cost model added value to accomplish this management. In the context of cost model research and practice, the purpose of this paper is to identify, compare and describe the different cost models and investigate their value parameters. A systematic literature review of various publications has been followed in order to categorize the different theoretical models and to analyze the key quality parameters in the cost model. The established eight theoretical models were described in the sense of cost and the variant research projects and structures have taken into account very diverse parameters. In cost models, this analysis organizes 11-various quality parameters into four relevant headings: individuals, system and material, economy and social. Among all value parameters, cost reduction and customer satisfaction, followed by efficiency, are the most prioritized value parameters. This paper results provide a sound basis and realistic interpretation of future research to harmonize the definition of cost model added value as it is based solely on literature review.
VALUATION OF ECONOMIC STABLE DEVELOPMENT OF HOSPITALITY ENTERPRISES IN THE REGION

The relevance of the research topic is conditioned by the objective conditions of hospitality development, characterized by considerable dynamism and uncertainty and creating obstacles for the stable functioning of enterprises, forecasting and strategic planning of their activities. Economically stable operation is an important prerequisite for enhancing the investment attractiveness of enterprises, increasing business activity and profitability. Determining the level of economic stability is an important tool for managing the processes of development of enterprises and industries. The purpose of this article is to study theoretical approaches and evaluate the economic stability of hospitality industry development in the Transcarpathian region. The article defines the essence of economic stability of development of hospitality enterprises in the region, systematizes indicators and proposes a methodical approach to assessing its level. The analysis of hospitality sector development in Transcarpathian region is carried out, the level of stability of its functioning in the context of such economic indicators as the volume of services realization, profitability and investment activity is calculated. According to the results of the analysis, the main tasks and priority directions of ensuring the economic stability of the development of hospitality enterprises in the region have been identified. The scientific novelty of the study is to substantiate a methodological approach to assessing the economic stability of the development of industries in the region, which involves calculating the comparative dynamics of key economic indicators of the development of enterprises of the industry in the region with similar indicators of the development of the regional economy as a whole. The results of this comparison allow us to determine the level of dependence of the industry on the factors of external influence, identify the degree of such influence and develop a system of adaptive mechanisms at the level of industry and individual enterprises. The practical significance of the article is to determine the level of economic stability of the hospitality industry in the Transcarpathian region, the main factors influencing the development of the industry and to develop appropriate recommendations for improving the sustainability of its development in modern conditions. Keywords: economic stability, hospitality, profit, volume of services, profitability, capital investment.
Psychometric assessment and nursing intervention in fear of covid-19. Project crimea

The emergence of COVID-19 and its pandemic nature has exacerbated fears around the world Unfortunately, fear can magnify the damage of the disease itself The main objective of the project is to determine the fear of COVID-19 in pre-pro-fessional interns in the undergraduate nursing career and to generate a nursing care plan The research will work on two methodological studies: the first study, a set of psychometric tests will be developed to evaluate the reliability and validity of the Fear of COVID-19 Scale-FCV-19S Instrument and linguistic and cultural adaptation to the Ecuadorian context, through a pilot study with a sample of 55 students of the nursing career Azogues headquarters and will be done through a confirmatory factor analysis (AFC), using three adjustment indexes: CFI (Comparative Fix Index), RMSEA (Root Mean Square Error of Approximation) and SRMR (Standardized Root Mean Square Residual) And, the second study, a quan-titative, prospective, descriptive-correlational, cross-sectional study with a non-experimental design will be carried out with a sample of 236 interns of pre-professional practices of the nursing career A sociodemographic survey and Fear of CO-VID-19 Scale-FCV-19S, a scale adapted to the Ecuadorian context carried out in the first methodological study of the present project, will be applied;A descriptive analysis will be carried out, the Shapiro-Wilk normality test will be applied, and differences in means will be analysed using the Student T test for independent samples © 2020, Venezuelan Society of Pharmacology and Clinical and Therapeutic Pharmacology All rights reserved