Miracle-dz/UniFAR-FTUs huggingface dataset:
Cloning and expression analysis of the Hsp70 gene ZmERD2 in Zea mays

ABSTRACT In this study, an Hsp70 gene was isolated from maize and was designated as ZmERD2 (Early Responsive to Dehydration 2). The full cDNA sequence of ZmERD2 was 2375 bp. It includes a 1949 bp open reading frame (ORF) encoding 649 amino acids. The calculated molecular mass was 71.163 kDa. The protein encoded by ZmERD2 contains an Hsp70 conservative structure domain, three typical Hsp70 family signature sequences and a cytosolic Hsp70-specific motif, which belongs to the Hsp70 family. Phylogenetic tree analysis suggested that ZmEDR2 shares high similarity (92%–95%) with Hsp70 of other plants, such as Arabidopsis thaliana (NP 195870), Triticum urartu (EMS52605), Aegilops tauschii (EMT07406) and Nicotiana tabacum (AAR17080), and was clustered together with T. urartu and A. tauschii. The promoter of ZmERD2, which was located at about 2.2 kb upstream of ZmERD2, was cloned and was predicted to contain important regulatory elements, including TATA-box, CAAT-box and drought-, heat-, cold-, salicylic acid- and methyl jasmonate-responsive elements. Analyzed by quantitative real-time polymerase chain reaction, the expression of ZmERD2 in maize was induced by heat, high-salt, cold, polyethylene glycol, heat stress and dehydration treatments, but not by abscisic acid. The expression of ZmEDR2 was quickly induced at 42 °C and reached its peak after 1 h of heat stress, with an expression of 40-fold above the control level. These results suggested that ZmERD2 might be a stress-related gene in maize.
PROSPECTIVE DIMENSION OF POPULATION AGEING AND POTENTIAL USE IN PENSION SECURITY IN THE V4 COUNTRIES

The main aim of the paper is to highlight the importance of remaining years of life in relation to demographic ageing. We use the V4 countries as our case study and analyse demographic ageing using the concept of prospective age and the relevant indicators to consider whether statutory retirement age should be readdressed given the rise in remaining life expectancy among seniors. The classic indicators show ageing is increasing in the V4 countries. Using prospective indicators we can see that not only is the level of ageing significantly lower but that it is progressing more slowly, and in some cases reversing. The prospective approach could also be important in setting pension age as it reflects changes in life and the principle of equitability. The results also show that the way pension age is fixed in the V4 countries may pose a risk to the sustainability of pension systems.
Brain Tumor Image Segmentation Using Hybrid Assured Convergence Particle Swarm Optimization And Fuzzy C-Means

: Recently, the medical image processing is extensively used in several areas. In earlier detection and treatment of these diseases is very helpful to find out the abnormality issues in that image. Here there are number of methods available for diagnosis to detect the brain tumor of MRI image. The main result of this paper, the earlier detection of brain tumor using Pre-processing techniques of Median, Bilateral Filter and adaptive bilateral filter was compared both filtering methods and proved the adaptive bilateral filter is suitable method for CT images. The proposed segmentation technique using hybrid Assured Convergence PSO (ACPSO) and Fuzzy C-Mean Clustering (FCM) was proposed method. The segmentation algorithm presented in this paper gives 95% of accuracy rate to detect brain tumor. The experimental results were achieved better accuracy and effective performance of the proposed techniques for identifying normal and abnormal cells from MRI image.
Prevalence of Gastrointestinal Helminth Parasites in Gallus gallus domesticus in Lucknow, U. P, India

Poultry industry occupies an important position in the provision of animal protein and plays a vital role in the national economy. Helminthiasis caused by helminth parasites is one of the most common infections affecting health of poultry and indirectly leading to great economic loss among small livestock holders. The prevalence of gastrointestinal helminth parasites in Gallus gallus domesticus was studied from January 2017 to December 2019 in the parasitology laboratory of Zoology Department, Babasaheb Bhimrao Ambedkar University, Lucknow, India. In this study, a total of 557 domestic fowls were examined to identify the different types of gastrointestinal helminth infections. During regular examination of helminth parasites, the highest prevalence was observed for Ascaridia galli (41.7%), followed by Cotugnia diagnopora (17.6%), Raillietina tetragona (11%), Heterakis gallinarum (7.4%) and Raillietina cesticillus (6.64%). In the monsoon season, prevalence was found to be higher than the summer and winter. Females were found to be more infected than the males. There was no trematode infection detected during the study period. The gross pathological lesions were observed in case of Heterakis gallinarum infection. The results of this study suggest that both nematodes and cestodes are prevalent in domestic fowls in the studied area.
The Effect of Centrality Values in Urban Gentrification Development: A Case Study of Erbil City

Despite Erbil's citadel significant role in the urban space configuration, it suffers from many functional and accessibility problems, there is rapture in the connectivity, accessibility and visual consistency between the city precinct and the development in the peripheral area, the connectivity of the city could be increased through enhancing centrality of the urban fabric through touristic gentrification. The paper aims to find a way to increase the connectivity between the citadel and its precinct through the touristic gentrification approach. The research adopted the Urban Network Analysis (UNA) technique as a primary methodology for the analysis with its centrality principles. The methodology worked on the urban gentrification process as a way to fill the weak link to increase urban connectivity. The paper found that some areas with high connectivity values in terms of place centrality do not have an equal transformation in terms of land use and importance which accordingly, proposed to be gentrified locations.
New 19812010 climatological normals for Croatia and comparison to previous 19611990 and 19712000 normals

Mean values of climate parameters (climatological normals) provide an insight into the climate characteristics of the region. Comparison of climate parameters for different 30-year periods can gain an insight into the stability of climate conditions of some area or their variability may be an indication of climate change. In this paper, daily precipitation amount and daily temperature data from 20 meteorological stations in Croatia are used to calculate climatological normals for three 30-year periods (1961–1990, 1971–2000 and 1981–2010). Although Croatia is relatively small country, large topographic variety, openness towards Pannonian Plain and position along the Adriatic Sea define different regions, so the selection of stations is in accordance with that. Spatial distribution of annual and seasonal climatological normals of temperature and precipitation amounts is shown for each period. Relative changes of temperature and precipitation amounts between three 30-year periods are calculated and presented at annual and seasonal scales. Important temperature and precipitation indices, like number of cold or warm days and number of days above some precipitation threshold are discussed in the climate change context. Keywords climatological normals; temperature; precipitation; indices; climate change.
NUMERICAL EVALUATION OF FRACTURE LENGTH INFLUENCE ON LOST CIRCULATION EMPLOYING PARTICULATE MATERIALS

1 Marcos V. Barbosa, 1 Fernando C. De Lai, 1 Silvio L. M. Junqueira ) 1 Research Center for Rheology and Non-Newtonian Fluids – CERNN, Federal University of Technology – UTFPR, Curitiba-PR 80230-901, Brazil, e-mail: marcoscp2@gmail.com, fernandodelai@utfpr.edu. br, silvio@utfpr.edu. br (um espaço) RESUMO – During the drilling process, the fluid loss is one of the major problems associated with operation and stability of the wellbore. The eventual presence of fractures combined with pressure gradients in the wellbore-formation set can intensify the fluid loss and, when no foreseen, the phenomenon must be controlled in order to reestablish the circulation in the wellbore. In this work, the association of particles in the drilling mud to reduce or eliminate the fluid loss is analyzed. The numerical simulation of the problem is divided into two approaches: the first one focus on the correct characterization of the invasion phenomena and the second one target the fracture filling process using particles with selected granulometry. The numerical formulation and the numerical modelling for the liquid-solid two phase flow are described using an Eulerian-Lagrangian approach. The phase coupling and particle-particle collisions are achieved through the combination of the Dense Discrete Phase Model (DDPM) and the Discrete Element Method (DEM). The filling process is characterized taking into account the time required to fill the fracture, the fluid loss monitoring over time and the pressure on the fractured channel inlet.
Nutrient regulation of an exotic, unidentified paratrechina sp. (hymenoptera: formicidae) found in Texas

Nutrient Regulation of an Exotic, Unidentified Paratrechina sp. (Hymenoptera: Formicidae) Found in Texas. (May 2008) Rachel Anne Wynalda, B.S., Texas A&M University Co-Chairs of Advisory Committee: Dr. Roger Gold Dr. Spencer Behmer Colony fitness, size, and reproductive potential are determined by their ability to locate and consume the optimal amounts of various macronutrients. Understanding the nutritional regulation of an ant colony furthers our understanding of their life history and can be used to produce a better baiting system. The “Geometric Framework” was used to conduct experiments determining how Paratrechina sp.nr. pubens regulated their protein and carbohydrate intake when given two sub-optimal, but complementary food sources, as well as when confined to a single food source. By analyzing how much food they consumed, we can determine how P. sp.nr. pubens regulates their food intake. Examination of the consumption results when given two choices, showed a preference for carbohydrate rich foods as well as a trend in regulation along a set nutritional trajectory. Further examination of the amount eaten when confined to a single food source, showed a higher consumption rate of the carbohydrate rich foods (p7:c35 and p14:c28). Analysis also showed a narrower range of protein intake when compared to carbohydrate. Accordingly, behavioral data indicate a pattern of consumption following seasonal shifts.
The Relevance of Water Pipe Deterioration Prediction Models: A review

The water distribution networks deliver water of appropriate quality and quantity to consumers. The frequency of deterioration is increasing due to several factors leading to financial loses, decrease in hydraulic capacity and reduction in quality of service. The increase in the damage rate of water systems has imposed pressure on the engineers to predict the replacement of vulnerable pipes with minor economic loss to the government. The most significant issue faced by water companies and municipality is the leakage of water pipelines. The level of water loss in the distribution network is increasing worldwide. Hence, the need for an appropriate maintenance and replacement strategy is noteworthy. In order to predict the life cycle of the pipeline, suitable models are required to initially analyze the performance of each network. There are plenty of deterioration models available. An appropriate model will aid in developing an effective decision-making system to identify the risk prone segments and the best renewal method. This paper aims to review the various factors contributing to deterioration of water pipelines and the various models existing to analyze the deterioration rate. Finally, the paper summarizes the need for the accurate deterioration prediction model. The review concludes at the end that despite all the advancement in the area of deterioration prediction models, there is still huge scope with the availability of more data from the respective departments.
Technology Acceptance Of Digitally Connected Consumers With Special Reference To Online Shoppers In Chennai City

: Busy lifestyles and changing attitudes has brought about many transformations in the society, in the way people carry out their routines and satisfy their needs. Technologically savvy consumers can harness the benefits of online shopping that help save time, energy and money. But technology adoption, adaptation and its use with has not been easy for all citizens. It‘s effective utility to consumers in the online shopping platform depends on individual‘s cognitive ability and self-confidence to navigate, seek information, evaluate, decide and transact. Researchers predominantly use the early Technology Adoption and Technology Adaptation models to gauge the preparedness of consumers in the online shopping environment. This study proposes an ―Online Shopping Ability‘ construct developed based on literature review. Online Shopping Ability is measured in four dimensions – Web Ease, Probe Product, Place Order and Self-Perception. The construct was empirically tested in Chennai and was found to have good reliability and validity.
Design Of Miniaturized, Two Elements 6-Band Mimo Antenna With Patch Isolator

Use of MIMO (Multiple input multiple output) for advance wireless communication is trending since last couple of decades. Multiband systems, such as WiFi (Wireless Fidelity), Bluetooth, or BLE (Bluetooth Low Energy) are referred as the way of advanced communication technology. These communication technologies are operating at a commonly used ISM frequency band, 2.4GHz. This frequency band is unlicensed and free to use. In this article, designed MIMO antenna can be used at 2.51GHz, 4.15 GHz, 6.04 GHz, 2.36 GHz, 3.68 GHz and 5.47GHz frequencies. This MIMO antenna is designed by using multiple patches on single ground plane, separated by Isolator. Improvement in VSWR, Directivity and Gain can be achieved by using microstrip patch antenna. Return loss of Designed MIMO is below -10dB and VSWR is in between 1 to 2. Isolator is used to reduce mutual coupling between the patches of MIMO antenna.
Predictive Modeling Using Support Vector Regression

: Regression analysis is a statistical process for estimating the relationships among variables. The main focus of the analysis is on the relationship between a dependent variable and one or more independent variables. Usually classical regression is used to fit a model and predict using it for a given data. There is a need of a better procedure for estimating the model that will give more accurate results on prediction when the classical procedure turns out bad. Thus, we explore Support Vector Regression, a type of Support Vector Machine, which attempts to minimize the generalized error so as to achieve better performance. It is an advanced technique of regression that performs well with large number of observations. This study compares the classical Regression with Support Vector Regression using datasets containing one and more than one predictor. The accuracy of regression procedures is studied with RMSE and R 2 with the help of R software.
Current and future immunotherapy approaches in ovarian cancer

Ovarian cancer (OC) is the major cause of gynecologic cancer deaths and relapse is common despite advances in surgery and systemic chemotherapy. Therefore, novel treatments are required to improve long-term outcomes of the disease. Efficacy of immunotherapy was demonstrated in many tumors and it has been since incorporated into clinical practice for them. Although early data form preclinical studies imply that OC has an immunogenic microenvironment, immune checkpoint inhibitors (ICIs) did not produce favorable results in clinical trials to date. This review will highlight data from clinical studies regarding immunotherapy in OC and its combination with other agents as well as immunologic prospects which could strengthen the therapeutic armament against the disease in the future.
THE INFLUENCE OF HEALTH EDUCATION ON BREASTFEED SELF-EFFICACY: QUASI-EXPERIMENTAL STUDY INFLUÊNCIA DA EDUCAÇÃO EM SAÚDE NA AUTOEFICÁCIA EM AMAMENTAR: ESTUDO QUASE EXPERIMENTAL LA INFLUENCIA DE LA EDUCACIÓN EN LA SALUD SOBRE LA AUTOEFICACIA EN AMAMANTAR: ESTUDIO CUASI-EXPERIMENTAL

Objective: to evaluate the nursing educational intervention for the promotion of the breastfeeding self-efficacy of nursing mothers hospitalized in a maternity hospital in northern Brazil. Method: quasi-experimental, longitudinal study, composed of an intervention group (n=80) and observation group (n=78). The educative intervention occurred through conversation wheel. Data collection occurred in the period from January to March 2018. Results: in the intervention group, nursing mothers showed high breastfeeding efficacy, whereas in the observation group, the efficacy was moderate. Among nursing mothers with more schooling, who work out of home and with intact nipples, the educative intervention influenced for better breastfeeding self-efficacy. The intervention group showed higher mean breastfeeding self-efficacy and increased frequency of breastfeeding. Conclusion: for the nursing mothers hospitalized in the maternity of study, the educative intervention influenced for the maintenance of exclusive breastfeeding within the 60 first days after delivery.
Simulation and Study of Asynchronous Pacemaker via MatLab

A pacemaker is an electronic device, which is used by heart patients when they suffer from arrhythmias. The sinoatrial node (SA node) of our heart generates electrical impulses which travel downs the atrioventricular (AV) node to the bundle of His and then to the Purkinje fibres, from where it distributes to the ventricular region. Importance of this impulse is that it makes the heart contract, which helps in maintaining blood circulation. In some cases, the SA node is unable to generate the electrical impulse or the impulse generated is so weak that it fails to reach other regions of heart for normal functioning. In such cases, doctors suggest the use of pacemakers. A pacemaker generates an impulse which is analogous to the impulse generated by the SA node and helps in heart contraction. The pacemaker either bypasses the use of SA node or works in collaboration with it depending upon the condition of SA node. Pacemakers are broadly classified into two types: the demand pacing or asynchronous pacemaker, which generates a fixed heartbeat, and the rate-responsive pacemaker, in which the heartbeat generated, depends on the physical activity being performed by the patient. Herein, we report the working of a demand-type pacemaker with the help of MatLab simulation, for its better understanding.
HONEYPOT: Intrusion Detection System

The number of computers connecting to the internet is getting increased day by day, while the number of computers connected is increasing then it is obvious that the amount of network-based attacks will also increase. In this way, we use a honeypot that is a framework trap that is set to act against unapproved utilization of PCs and data frameworks. Around the globe, a huge number of individuals get to the web each day, honeypot which can likewise be called Intrusion Detection Technology is another time of security innovation that screens device to avoid malicious sports. The whole factor of this research paper is an Intrusion Detection System and Intrusion Prevention System, elements accomplished via honeypot and honeytrap methodologies. A great deal of research went into this review paper and the discoveries propose that the honeypots are drawing in light of a legitimate concern for analysts as a significant security system that can be actualized to stop or occupy the assaults the system assaults and give a chance to find out increasingly more about the source and nature of these assaults. Hence we can say that a honeypot can be utilized as an examination apparatus to accumulate increasingly more data about the expanding number of system assaults that are going on consistently.
Construct Validity Of The Job Satisfaction Among Lecturers: An Analysis Of Confirmatory Factors

Employee job satisfaction is an important factor that must be considered every organization. This study aims to determine job satisfaction at lecturers at University of "X", test the validity and reliability of construct job satisfaction scale, to know the contribution of aspects and indicators in reflecting job satisfaction, and test the theoretical model of job satisfaction fit with empirical data. The population of this study amounted to 402 lecturers with characteristic status as a permanent lecturer, has worked at least 1 year and male and female sex. The sample size is 202 subjects. Subjects consisted of 119 (58.9%) women and 83 (41.1%) men. Sampling technique using probability sampling is by simple random sampling. Methods of data collection using job satisfaction scale. Data analysis using Structural Equation Modeling (SEM) with 2nd Order CFA through Lisrel program 8.80. The result of the analysis shows that the lecturer at University of "X" has job satisfaction in high enough category. Job satisfaction is reflected by the aspect of the job itself, salary, promotion, supervision, and colleagues are valid, significant and reliable to measure job satisfaction. The most dominant aspect that reflects job satisfaction is the aspect of promotion, with indicators are justice gained to get promotions and opportunities to get promotions. The lowest aspect that reflects job satisfaction is the job itself that is the perception of its work and the individual's feelings toward the job. The theoretical model of job satisfaction variables is fit with empirical data. The main fit model criteria used in testing the suitability of this model are Chi Square p, RMSEA, NFI, NNFI, CFI, IFI, GFI, AGFI.
The Moderating Role of Sea Service Period on the Relationship between Perceived Organizational Justice and Job Satisfaction; Evidence from Seafarers

Although the number of organizational justice studies has increased rapidly in recent years, little research has focused on fairness perceptions of seafarers. Therefore, this paper intended to fill the gap by investigating the effect of organizational justice perceptions of seafarers on their job satisfaction described by three facets including procedural justice, distributive justice and interactional justice. The data obtained through face-to-face survey technique were analyzed using SPSS 22 and AMOS 22 (with PROCESS macro) statistical package programs. The findings generated from regression analysis point that justice perception of seafarers positively affects their job satisfaction level. Furthermore, the length of seafarers’ sea service has a moderating role between perceived organizational justice and job satisfaction. The managerial implications of the results are discussed in light of the particular context of the maritime industry with some suggestions for enhancing justice and satisfaction perceptions of seafarers.