Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of siRNA in inhibition the biofilm formation as a first line of antibiotic resistance by regulation the MsrA drug efflux pump in Staphylococcus saprophyticus

The bacterium Staphylococcus saprophyticus (S. saprophyticus) is a common cause of urinary tract infections (UTI) in the community. To determine the effect of siRNA on the mRNA of the msrA gene in S. saprophyticus, 21-23 bp small interfering RNA (siRNA) duplexes were constructed against the mRNA of the msrA gene. The effect of siRNA on msrA mRNA expression was determined using reverse transcription PCR (RT-PCR). To assess changes in biofilm formation (BF) in response to siRNA activity, the usual tube technique was adopted. In vitro, msrA-siRNAs inhibited S. saprophyticus mRNA expression and activity. The efficacy of siRNA was determined by comparing the BF in S. saprophyticus before and after msrA-siRNA was introduced into the bacteria. In this investigation, two msrA-siRNA sequences, siRNA1 and siRNA2, were employed. qRT-PCR revealed that two msrA-siRNA sequences significantly suppressed the expression of msrA-mRNA, P = (0.010 and 0.002 ) respectively at (P< 0.05) comparison with control. Regarding the BF results after treatment with two siRNA sequences, they were 5/6 (83.5%) and 4/6 (67%) negative formation and 1/6 (16.5%) and 2/6 (33%) positive formation, respectively compared with control.
Factors affecting consumer acceptance of mobile banking in Tejarat Bank in city of Karaj, Iran

Objective: The growth in mobile phone usage in the last decade has been pretty amazing. Today, for most people mobile phones are a necessity. So that you have to carry them wherever you go. Mobile technology has changed commercial and business behaviors of mobile users. Methodology: Commerce via mobile is a business solution nowadays and has led to a change in existing businesses. Among these services, is mobile banking. It should be said that mobile banking is one of the primary components to help expansion of business operations using mobiles. The main objective of this study is to investigate factors influencing the adoption of mobile banking services by customers and testing six hypotheses. Results: The present research is casual by method and nature, survey by implementation, and practical in purpose. The population in this study, customers are Tejarat Bank city customers in Karaj in the year 2015.Sh. To achieve objectives of the research, 384 questionnaires distributed among the bank customers and then analyzed. In this study all considered assumptions confirmed. Conclusion: Finally, it can be said that mobile phone services can lead to creation of comparative advantage and an acceptable profitability compared with other banks’ services.
Experimental investigation of Jatropha oil methyl ester (JOME) as pilot fuel with CNG in a dual fuel engine

ABSTRACT The increasing energy demands of fossil fuels and the environmental issues associated with their emissions have instigated research into renewable fuels. In this paper, a dual fuel was formulated using diesel with Jatropha oil methyl ester (JOME) as pilot fuel and compressed natural gas (CNG) as primary fuel in a dual fuel engine. The performance and emission characteristics of the dual fuel were compared with conventional diesel (baseline data). The mass flow rate of the primary fuel changes with load, however, the mass flow rate of the pilot fuel was kept constant for all loading conditions. Results indicate that the dual fuel engine can produce high brake thermal efficiency 32.1% and low brake specific fuel consumption 0.203 kg/kW-h as compared to baseline data at higher load. The dual fuel engine showed improvement in carbon monoxide (CO) and smoke emissions, while unburned hydrocarbons (UHC) and oxides of nitrogen (NOX) emissions remained high. The performance and emissions characteristics for CNG–JOME mode showed better results over CNG–diesel mode at low and intermediate loads. Diesel as pilot fuel gave better results as compared to JOME as pilot fuel, at higher loads. In conclusion, JOME was a good pilot fuel for a dual fuel engine with CNG.
Modeling of coal and gangue volume based on shape clustering and image analysis

ABSTRACT Coal content in gangue is an important production index, and a commercial method to detect it is yet to be devised. The prediction of coal and gangue particle volumes is crucial. The shape clustering method is adopted to automatically classify coal or gangue particles based on their shapes to build volume models that can adapt to different shapes. Subsequently, volume models for coal and gangue particles of different shapes are established. Without shape clustering, the average relative errors of the volume model for gangue are 13.41%, 12.87%, 11.42%, and 9.12% for particles sizes of 25–13 mm, 50–25 mm, 100–50 mm, and >100 mm, respectively, whereas they are 12.54%, 11.82%, 10.36%, and 7.69%, respectively, after shape clustering. Without shape clustering, the average relative errors of the volume model for coal are 9.97%, 11.10%, 12.44%, and 11.06%, respectively, whereas they are 9.08%, 8.98%, 11.53%, and 8.27% after shape clustering. The reduction in error indicates the effectiveness of the proposed volume prediction.
Antecedents of salesperson performance in information service industry: The role of guanxi, adaptive selling behaviors and customer orientation

Abstract This research aims to investigate the determinants of salesperson performance with a focus on the role of customer-centric selling behaviors in the interaction with Guanxi—a measure of the quality of customer–salesperson relationship. The study examines two well-established constructs in the body of sales literature, namely customer orientation and Adaptive selling behavior to shed light on the inconclusive relationship between these antecedents and sales performance in prior works. Using a sample of 204 salespeople in the Information service industry, the authors tested several hypotheses employing the structural equation model (SEM). The results suggest that the adoption of adaptive selling and Customer-oriented behaviors may help salespeople improve performance. Moreover, Guanxi does play some role in explaining sales performance of B2B salespeople. Based on the findings, theoretical contributions and managerial implications, as well as suggestions for future research, will also be presented. In the business-to-business (B2B) context, salespeople are the critical link between a company and its customers; therefore, understanding their performance is a key concern of sales managers as well as researchers in the discipline. However, due to the complex nature of selling activities, the extant literature has not agreed upon the universal factors that may ensure salespeople’s success. The research also takes into account the China-originated construct called Guanxi, which is expected to reflect the quality of the relationship between salesperson and customer. Few prior studies have grouped guanxi with selling behaviors in an explanatory model of sales performance. Therefore, studying this interaction may provide more insights into how to improve the performance of the salesforce.
Production optimisation in a pandemic context

A pandemic can wreak havoc in supply chains, as witnessed in the COVID-19 context. As workers get infected, production level drops and demand from customers goes unfulfilled. Combining in a novel way an epidemic model with optimal control theory, our model provides a plant manager with the optimal level of prophylactic effort she needs to deploy over a planning horizon to protect the workforce from a pandemic in its early stage and so maintain production levels. Given the production planning problem, the effort in terms of prophylactic measures can be optimally determined in closed form, balancing worker protection against production requirements in a single step. The manager must initially implement the strictest measures before relaxing them in time. Three extensions are presented:, (1) determine the optimal period of time over which the prophylactic measures should be maintained; (2) determine the optimal effort in terms of prophylactic measures in the case of an endemic disease; and (3) assess the effect of a stochastic exogenous shock on the total number of infected. This research provides a production planning model that allows a decision-maker to mitigate the impact of worker absenteeism at the onset of a pandemic, thus improving supply chain resilience.
Selection of suitable bank based on quality of providing systems for internet banking services using AHP and ANP methods

Due to rising complexity of decision-making environments, the suitable multi-criteria methods have become important to support from decision in management and decision-making has been converted into a challenge for directors and organizations in today complicated world. Thus, more particularly during two recent decades, mathematical models and computer sciences have contributed them to solve decision-making problems and created multi-criteria decision- making techniques and decision- making supporting systems. With respect to extension and high volume of activities in national banking systems we are exposed to data production and many data that led decision- making subject to become especially important. The importance and position of internet banking and growing trend of services in this field in the country during recent years has put financial and credit institutions (especially banks) on the scene for serious competition in line with upgrading quality of service. The present study aims at ranking and order preference of banks based on effective parameters and factors on enhancement of quality of system providers for internet banking services. By conducting study to evaluate effectiveness of criteria in this paper and by means of both multi-criteria decision- making methods of AHP and ANP, we have described a model that could contribute to make suitable decision and select the best choice among options we designated for them. In order to indicate the given mechanisms by means of decision- making supporting system, it has been suggested that % banks to be classified using AHP and ANP models. Although the final result of both techniques is the same in selection of suitable bank based on quality of internet banking services, various values are observed among ranking criteria. Hence, it is suggested to employ ANP method in which dependency among criteria is considered.
Fuzzy control model for pilot and simulation analysis

Based on the behaviors of pilots, an conventional fuzzy control model is developed. Two on line adaptive methods are obtained using Lyapunov theory to regulate the parameters of the conventional fuzzy control model, thus, two kinds of adaptive fuzzy control model is developed. An approach process is simulated in wind shear condition. The results show that the models presented are reasonable and can to a great extent illustrate the handling behavior of pilot.
SWOT Analysis of Software Development Process Models

Software worth billions and trillions of dollars have gone waste in the past due to lack of proper techniques used for developing software resulting into software crisis. Historically , the processes of software development has played an important role in the software engineering. A number of life cycle models have been developed in last three decades. This paper is an attempt to Analyze the software process model using SWOT method. The objective is to identify Strength ,Weakness ,Opportunities and Threats of Waterfall, Spiral, Prototype etc.
Ranking of Challenges of Accreditation Standards Implementation in Public and private Hospitals: A comparative approach

Objective: The study aimed to ranking the challenges of accreditation standards implementation in private and public hospitals. Methodology: The method of data collection was descriptive research of field studies branch. Statistical population included the managing director, manager, matron and head of Quality Control (accreditation) of public and private hospital of Tehran. For collecting data, a questionnaire was designed in 39 items based on reviewing of literature and previous scale. Content and face validity of this questionnaire was considered and confirmed in separately stages; also, reliability of this questionnaire investigated through Cronbach’s alpha and for whole dimensions were higher than 0.7. In final, for data analysis and testing assumptions, exploratory factor analysis and Friedman test has been administered by using SPSS-20. Results: result of exploratory factor analysis showed that challenges of accreditation standard implementation were classified in 9 aspects and explained 72.4% variance of this variable. These 9 factors in order to priority are encouraging drivers; perception of accreditation standards; financial resources; quality improvement; management knowledge, skills and commitment; support of regulatory initiatives; standard & surveying development; human resources and determining macro policies and procedures. Also finding showed that there are differences between the ranking of these challenges in public and private hospitals. Conclusion: the results of the study showed that the challenges which have the highest rank are ones of the main obstacles of implementation of accreditation in hospitals and more attention should be given to them.
Effect of the Waste Rubber Tires Aggregate on Some Properties of Normal Concrete

workability registered the highest decrease of 35 mm, compressive strength was 18.5 MPa, and the flexural was 3.35 MPa. However, the failure of the (CRC) samples test was not as brittle and abrupt as in the control sample (NSC) in the flexural test.
Molecular characterization of avipoxviruses circulating in Windhoek district, Namibia 2021

Samples from eleven birds (chicken, dove and peacock) with symptoms of fowlpox, caused by the avipoxvirus (APV), were collected in seven different areas of the Windhoek district, Namibia between April and October 2021. A fragment of the 4b core protein and the DNA polymerase gene of APV were amplified by PCR from the DNA of the samples and sequenced. Phylogenetic analysis revealed that the viruses present in the chickens all belonged to clade A1 while the viruses in the doves and peacock were from subclade A3.1. This is the first report of subclade A3.1 avipoxvirus in peacock. In addition, all of the samples obtained from chickens were shown by PCR to be positive for the integration of reticuloendotheliosis virus while those from the doves and peacocks were negative. This study is the first characterization of avipoxvirus in Namibia and provides additional information on the presence of avipoxvirus in southern Africa.
Effects of Cropping Patterns on Photosynthesis Characteristics and Yield of Summer Maize

The effect of different cropping patterns on the photosynthesis characteristics of summer maize were studied with a local popular cultivar.The results showed that under the planting density with 6.75×104 plants/ha,compared with the conventional uniform row spacing pattern(60 cm),the photosynthesis rate,stomatal conductance,transpiration rate all increased under the three cropping patterns,i.e.,three-row strip,four-row strip and five-row strip treatments.However,the increase of either SPAD or photosynthesis rate was insignificant.Among all cropping patterns,four-row strip showed highest,stomatal conductance and transpiration rate,and CK showed highest intercellular CO2concentration At the late grain filling stage,the filling rate decreased most quickly under the conventional uniform row spacing pattern(CK),and the kernel yield increased by 10.58%,6.54%,12.06% under three-row strip,four-row strip and five-row strip treatment,respectively,while the increase did not reach the significant level.
Promoting product idea contribution of heterogeneous users for product improvement in online innovation communities

ABSTRACT Collaboration between firms and product users has been widely practiced to enhance the efficiency and quality of product development. We consider a collaborative product improvement setting where a sponsoring firm and product users jointly create or promote product design ideas through firm-sponsored online user innovation communities (FOUICs). Using a differential-game framework, we study a benchmark case in which product users involved in FOUICs are homogeneous in their innovative contribution capacities and propensities. We then incorporate users’ heterogeneity such that product users are distinguished into lead users and common users. Our analytical result shows that the equilibrium effort levels and utilities of both the sponsoring firm and product users may increase or decrease with a change in the output elasticities of product design ideas or in the cost elasticities of the effort levels. Moreover, lead users’ equilibrium effort level and utility are more sensitive to the elasticity parameters of product users’ effort than those of common users, and lead users obtain a higher total incentive reward than that of common users. Last, we compare the benchmark model and the extended model to identify the condition under which one model outperforms the other one for both the sponsoring firm and product users.
Efficacy of vazirani akinosi and gow gates technique in inferior alveolar nerve block

Aim: The purpose of this study is to evaluate the onset of anesthesia, anesthetic success and incidence of positive aspiration during administration of local anesthetic solution using the Vazirani Akinosi and Gow Gates techniques. Methodology: The study involves 100 subjects, divided into two different groups of 50 subjects each receiving Gow Gates, Vazirani Akinosi nerve blocks. The onset of anesthesia, positive aspiration and anesthetic success was evaluated. Results: In Vazirani Akinosi technique group, patients showed highest anesthetic success of 95.71%; there was a significant difference seen between the Gow Gates and Vazirani Akinosi techniques (p = 0.0241). The mean value of the onset of anesthesia in Gow Gates technique showed the longest 343.71 ± 153.20 s and in Vazirani Akinosi technique it was 192.86 ± 61.20 s. Conclusion: The Vazirani Akinosi technique was found to be significantly better than GG techniques with respect to both onset and success of anesthesia.
Artificial Intelligence: A New Era in Drug Discovery

Artificial intelligence (AI) is a simulation of the process of human intelligence through computers. The process involves obtaining information, developing rules for using information, making possible or accurate conclusions, and self-correcting. The development of new drug residues begins when basic scientists learn about biological targets (receptor, enzyme, protein, and gene). These targets involve the biological processes that occur in patients with a disease. Drug discovery can be through target identification, target verification, lead identification, and effectiveness of lead. AI can offer revolutionary insights into medicine, through data from genetics, proteomics and other life sciences that advance the process of discovery and development. Artificial Intelligence (AI) has recently been developed as a fiery element in the medical care industry. AI has exciting potential for prosperity in the field of biopharmaceutical. The biopharmaceutical industry makes efforts to approach AI to improve drug discovery, reduce research and development costs, reduce the time and cost of early drug discovery, and support predicting potential risks/side effects in late trials that can be very useful in avoiding traumatic events in clinical trials and ultimately clinical trials. Usually, drug development takes five years to go to trial, but the AI drug takes just 12 months. The rapid growth in life sciences and machine learning algorithms has led to enormous statistical access to the growth of AI-based startups focused on drug innovation in recent years.
Optimization of suspension kinematics characteristic parameters

To solve the problem of optimization of vehicle suspension kinematics,a new method to describe the kinematics constraint conditions by mathematics and to optimize the kinematics parameters by Newton iteration method is presented. With it,the proper variable of the suspension and the optimum solution can be found quickly,so that it is suitable to the optimization of suspension kinematics with multi-variable and multi-objective function. Taking a off-road vehicle’s problem in toe angle and camber angle as an example,the optimization results of hard-points coordinates show that the desired characteristics of the suspension kinematics can be achieved in two step iterations.
SOCIOLOGICAL FACTORS AND CONSUMER BUYING BEHAVIOUR TOWARDS FASHION CLOTHING

This study focused on sociological factors and consumer buying behaviour towards fashion clothing. It was carried out to determine the effects of family, peer group, reference group and culture on consumer buying behaviour towards fashion clothing. The study adopted cross-sectional survey research design. A structured questionnaire was used to obtain primary data from 185 consumers of fashion clothing. Data analysis was done using descriptive statistics, while hypotheses testing was done using multiple linear regression. Consequently, the findings of the study revealed that culture (? = .507; p-value = 0.000 < 0.05) had the highest significant positive effect on consumer buying behaviour towards fashion clothing, followed by family (? = .244; p-value = 0.000 < 0.05), reference group (? = .238; p-value = 0.000 < 0.05) and peer group (? = .085; p-value = 0.005 < 0.05). The study concluded that sociological factors are key determinants of consumer buying behaviour towards fashion clothing and made practical implications to that effect. Keywords: Sociological factors, Consumer Buying Behaviour, Fashion Clothing, Social Influence Theory.
The Comparison of the Effectiveness of Trans-diagnostic Treatment and the Acceptance and Commitment Therapy (ACT) on Emotion Regulation and Illness Perception in Patients with Irritable Bowel Syndrome (IBS)

Aim and Background: Irritable bowel syndrome is the most common, costly and debilitating type of disorder among functional gastrointestinal disorders. The aim of this study was to compare the effectiveness of transdiagnostic treatment and acceptance and commitment therapy and the control group on emotion regulation and illness perception in patients with irritable bowel syndrome. Methods and Materials: The present research was quasi-experimental and pretest-posttest with a control group. The statistical population of this study included all of the patients with irritable bowel syndrome referred to Poursina Hakim Center of Isfahan during 2019-2020. The sample researchconsisted of 45 infected patients that were selected by available sampling method. In addition, they were randomly placed in two experimental groups (15 patients in each group) and one control group (with 15 patients). Integrated trans-diagnostic intervention of Barlow (2011) was done for the first experimental group during 8 session (90min). On the other hand, acceptance and commitment therapy of Hayes (2002) was done for the second experimental group during 8 session (90min) in two months interval and the control group did not receive any intervention. From the Broadbent et al.'s illness perception questionnaire and the Garnefski & Kraaij (2006) cognitiveemotion regulation and demographic data sheet were used to collect the findings. Multivariate and univariate analysis of covariance were used to analyze the data. The software used was SPSS version 19. Findings: The results showed that trans-diagnostic therapeutic interventions and acceptance and commitment did not have a significant effect on increasing illness perception and reducing non-adaptive strategies. Trans diagnostic treatment and acceptance and commitment had affected on increasing adaptive strategies (P <0.05). Conclusions: Therapists can adopt effective methods by using abovementioned interventions in order to improve the condition of patients having irritable bowel syndrome to increase the efficacy of their treatments.