Miracle-dz/UniFAR-FTUs huggingface dataset:
An efficient heat-shock protocol for transformation of Agrobacterium rhizogenes without spontaneous generation to antibiotic resistance

Antibiotic resistance occurs when the use of antibiotics to treat bacterial infections or to select for transformed bacteria from in vitro cultures becomes ineffective. Although this phenomenon is primarily observed in medicine, it also affects the success of scientific research when bacterial-based genetic transformation experiments are performed. During the agrotransformation of plant cells, tissue, and organs, the acquisition of antibiotic resistance by Agrobacterium spp. has been widely observed, making it difficult to select for the transformed bacteria. The objective of this study was to develop a heat-shock protocol for the transformation of Agrobacterium rhizogenes without the spontaneous generation of antibiotic resistance, to increase its sensitivity and specificity to produce transgenic hairy roots. After the bacterium was transformed, it was cultured in liquid culture medium and plated on solid medium to isolate colonies. The genetic transformation of the bacteria and the plant tissue was verified by PCR and by β-glucuronidase assays. The reproducibility of the method was assessed among the A. rhizogenes strains LBA 9402, A4 and 15834 using streptomycin, kanamycin and ampicillin for selection.
Impact of Creative Personality , Domain Expertise on Employee Creativity with Moderating Role of LMX Quality

The purpose of this study is to analyze the association among creative leadership, domain expertise on employee creativity. It also analyzes cross level interactions between LMX qualities in organizational perspective persuading employee creativity. Ordinary least square (OLS) regression modeling used to test the hypothesis using 200 employees and 85 supervisors in organization. In this research we found domain expertise and LMX quality has positively impact on employee creativity. Also we found a positive moderating role of LMX quality in defining the correlation between domain expertise and employee creativity. Furthermore, it is found their no significant impact on creative personality and employee creativity. This research has to explore the major gap in the context of employee creativity. It has wide field and understanding different backgrounds about creativity, domain expertise and LMX quality as persuasive factor. In addition domain expertise has positive impact on employee creativity when LMX is high. Furthermore, this study analyzed an encouraging awareness in considerate the contribution of organizational learning philosophy as in employee
Pathology of the Dafni Monastery : survey , monitoring of cracks , interpretation and numerical verification

This paper summarizes the work carried out in the Katholikon ofDafni Monastery with the aim to study the pathology ofthe monument. Damages observed after the 1999 earthquake in Attica are brief1y presented and qualitatively interpreted, based on historical pathology as well. Selected results of cracks measurements taken on the monument over a long period of time after the earthquake are presented and commented. Finally, the results of the etfort undertaken to reproduce analytically the observed pathology are briefly presented.
The Mediating Role of Supervisor Support in the Effect of Person-Organization Fit on Job Satisfaction in Hospitality Enterprises

Person-organization fit which develops with the overlapping between the values of the organizations and values of worker in the organizations has been demonstrated to produce many positive results. One of these results is also the positive impact of person-organization fit on job satisfaction. Besides, the support given to the employees by their supervisor is the important fact to increase job satisfaction. In the light of these relations, this study examined the effect of person-organization fit and the supervisor support on job satisfaction and investigated whether the supervisor support has played a mediating role in the effect of personorganization fit on job satisfaction. The results of the research presented that personorganization fit and supervisor support have a favorable impact on job satisfaction. However, it was seen that the supervisor support does not play a mediating role in the effect of personorganization fit on job satisfaction.
Karpov A classification of meteor radio echoes based on artificial neural network

An artificial neural network is described for classification ofmeteor trails into the distinct overdense, intermediate and underdense trail categories. The neural network was trained and onmodel data obtained using the “KAMET” program and tested on real data. The best result of classification success rate of 95% without according to the heights of the formation of meteor trails. Results of classification with according to the heights of the formation of meteor trails are 82% 91%.
Developments of the sodium fast reactor analysis code SARAX: methods and verification

A new code system named SARAX for the fast reactor design and fuel cycle analysis was recently developed. The SARAX system mainly consists of two parts. The few group constants were generated by the SARAX-FXS code and the steady-state, fuel cycle and transient calculations were done by the SARAX-FR code. This paper presents the models adopted in the new codes and the verification test problem results are given to show the current capability and accuracy. The verifications are based on the OECD fast reactor benchmarks, which consist of four difference fast reactor designs. The few group cross sections, keff and power distribution were calculated with different models of generating few group constants. The results were compared with a continuous energy Monte-Carlo calculation. The relative differences of keff between SARAX and the reference code were less than 100pcm for the large size cores and 300pcm for the medium size cores. The RMS value of power distribution was less than 3%. Besides, the Doppler constants, void worth, control rod worth and reactivity swing were also calculated and compared.
Anti-inflammatory and Anti-nociceptive Effects of Piperine in Gamma-irradiated Rats

IPERINE is an alkaloid that is found naturally in plants belonging to the piperaceae family and has been reported to possess anti-inflammatory properties. The present study was constructed to investigate the possible anti-inflammatory and analgesic effects of piperine on different inflammatory models induced in irradiated rats. Paw volume and nociceptive threshold were measured in carrageenan-induced paw oedema and hyperalgesia model. Leukocytes count, tumour necrosis factor-α (TNF-α), prostaglandin E2 (PGE2), thiobarbituric acid reactive substances (TBARs) and total nitrate/nitrite (NOx) were estimated in the exudate collected from six-day old air pouch model. Irradiated rats were exposed to 6Gy gamma (γ)-irradiation. Oral administration of piperine at a dose of 50mg/ kg resulted in a significant decrement in the paw volume and significant increment in the nociceptive threshold, in non-irradiated and irradiated rats. The inflammation induced in irradiated rats in the six-day old air pouch model increased all the estimated parameters in the exudate whereas; piperine decreased their elevation in non-irradiated and irradiated rats. Piperine possesses a potential anti-inflammatory and anti-nociceptive activity on inflammation induced in irradiated rats.
Effect of pregnancy and correlation of weight and heart rate with electrocardiographic parameters in the American Miniature Horse

There are studies on electrocardiogram (ECG) in several breeds of horses, which highlights the growing importance of cardiology in this species. But few authors have addressed the influence of pregnancy on the cardiac physiology of the mare, and specifically, there are no studies on the Mini-horse breed, as well as no correlation of body weight (BW) and heart rate (HR) with electrocardiographic parameters in this breed. The aims of this study were to determine the effects of pregnancy on ECG parameters and to examine the relationships between these variables and body weight (BW) and heart rate (HR). A total of 203 animals were used, including 143 females (66 pregnant) and 60 males. Electrocardiographic examinations were performed by computerized electrocardiogram (TEB), and the parameters were evaluated in six leads in the frontal plane (Lead I, II, III, aVR, aVL and aVF) and base-apex (BA). BW was inversely proportional to HR, which in turn showed an inverse relationship with the duration of the P-wave and the PR and QT intervals. The P-wave amplitude (lead II) was higher in pregnant animals than in non-pregnant animals. The effect of reproductive status should be monitored by ECG throughout the entire gestational period. The 66 pregnant mares in this study were examined during the first third of their pregnancies, thus, few differences were observed between pregnant and non-pregnant animals.
Weight evaluation of Tabapuã cattle raised in northeastern Brazil using random-regression models

The objective of this study is to compare random-regression models used to describe changes in evaluation parameters for growth in Tabapuã bovine raised in the Northeast of Brazilian. The M4532-5 random-regression model was found to be best for estimating the variation and heritability of growth characteristics in the animals evaluated. Estimates of direct additive genetic variance increased with age, while the maternal additive genetic variance demonstrated growth from birth to up to nearly 420 days of age. The genetic correlations between the first four characteristics were positive with moderate to large ranges. The greatest genetic correlation was observed between birth weight and at 240 days of age (0.82). The phenotypic correlation between birth weight and other characteristics was low. The M4532-5 random-regression model with 39 parameters was found to be best for describing the growth curve of the animals evaluated providing improved selection for heavier animals when performed after weaning. The interpretation of genetic parameters to predict the growth curve of cattle may allow the selection of animals to accelerate slaughter procedures.
Regulatory learning in failed thrift auctions q

We use a sample of failed thrift auctions to examine if regulators learn from early transactions and improve their performance in later transactions. Our findings suggest that experience at failure resolution does not by itself lead to improved regulatory performance. Evidence of regulatory learning is restricted to dealings with repeat acquirers; in cases where an acquiring firm makes abnormal gains, regulators are able to restructure the auction process and eliminate such gains in subsequent acquisitions made by the same acquirers. 2002 Elsevier Science B.V. All rights reserved. JEL classification: G21; G28
Variability and character association studies in fodder maize (Zea mays L.) hybrids.

Twenty maize (Zea mays L.) hybrids were evaluated for character association study during kharif 2012 at Forage Research Farm, Punjab Agricultural University, Ludhiana. The genotypes were significantly different for all the characters, which indicated scope for further genetic studies. High heritability along with high genetic advance was recorded for all the traits except number of leaves per plant indicating the predominance of additive effects in the inheritance of these characters. The phenotypic coefficients of variation (PCV) estimates were invariably higher than their corresponding genotypic coefficient of variation (GCV) values thereby suggesting the environmental influence. High estimates of GCV and PCV were observed for plant height, leaf stem ratio, dry matter yield and green fodder yield, suggesting that selection based on these characters would facilitate successful isolation of desirable types. Traits like plant height, leaf length and dry matter yield had positive and significant correlation at genotypic as well as phenotypic level with green fodder yield and the selection based on these traits will result in improving the green fodder yield in maize. Most of the yield contributing traits like plant height, leaf length, stems girth, leaf : stem ratio and dry matter yield exhibited positive direct effect on green fodder yield.
Inquiry-Based Learning to Increase Students ’ Creative Thinking Skills in Vocational High School

Based on the observation in the vocational high school, the students’ creative thinking skill was still low. This is because there is no collaboration between learners and teachers to solve problems. Also, there is lack of opportunities given to learners to find their own knowledge. This study developed the inquiry-based learning tools to enhance students' creative thinking skills in vocational high schools. The purpose of this study was to: 1) describe whether validation of learning devices declared from the expert worthy of use in learning; 2) analyze the implementation of learning tools on the inquirybased learning process; 3) analyze the activities of learners during the learning activities; 4) analyze the learning outcomes of creative thinking skill obtained by learners before and after implementing inquiry-based learning; and 5) analyze learners' responses to the learning activities. Learning tools developed in this study include syllabus, lesson plan, student activity sheet, and test of creative thinking skill. Data collection was done by test, observation, and questionnaire. Data analysis was done by descriptive analysis and t-test. The results showed that: 1) validation of learning tools from experts declared appropriate for use in learning; 2) the implementation of lesson plan obtained the criteria performed very well, appropriately, systematically, and on time; 3) the activities of the learners during the learning activities were in accordance with the inquiry-based learning stages; 4) there was a significant difference to the improvement of creative thinking learning result test obtained by learners before and after inquiry based learning; and 5) the learners’ responses to inquiry-based learning activities were in good categories. Keywords—Inquiry Based Learning, Creative Thinking Skills, Vocational High School.
FEATURE SELECTION IN INTRUSION DETECTION , STATE OF THE ART : A REVIEW 1

With the increase of internet usage the need of security for organizations network also increased. Network anomaly intrusion detection systems are designed to monitor abnormal activity in the network. These systems find the behavior that is deviated from the normal behavior. Network anomaly detection methods are implemented using different approaches including machine learning, data mining, and many more. However, intrusion detection systems highly depend on the features of the input data. These input features give information to the learning algorithms which used in intrusion detection system in the form of the detection method. With irrelevant and redundant features learning algorithm builds detection model with less accuracy rate. Also, ambiguous features increase the time complexity and consume other computational resources as well. By removing these irrelevant and redundant features accuracy of the learning algorithms can be increased. In this paper implementation of different feature selection techniques have been reviewed. Novel feature selection techniques have been developed due to its importance in network intrusion domain. We have discussed some of it in a technical aspect. These techniques are being discussed in detail. Moreover, features from these methods are also given and their results are being. We categorized these techniques according to their implementation. Different comparison of these techniques have been given and been discussed. Moreover, the benchmark dataset that is KDD99 widely used for anomaly detection is also discussed in this paper.
P o S ( C O R F U 2 0 1 1 ) 0 7 6 Vorticity in holographic fluids

Konstadinos Siampos§ CPHT – Ecole Polytechnique, CNRS UMR 7644, 91128 Palaiseau Cedex, France E-mail: ksiampos@cpht.polytechnique. fr In view of the recent interest in reproducing holographically various properties of conformal fluids, we review the issue of vorticity in the context of AdS/CFT. Three-dimensional fluids with vorticity require four-dimensional bulk geometries with either angular momentum or nut charge, whose boundary geometries fall into the Papapetrou–Randers class. The boundary fluids emerge in stationary non-dissipative kinematic configurations, which can be cyclonic or vortex flows, evolving in compact or non-compact supports. A rich network of Einstein’s solutions arises, naturally connected with three-dimensional Bianchi spaces. We use Fefferman–Graham expansion to handle holographic data from the bulk and discuss the alternative for reversing the process and reconstruct the exact bulk geometries.
ORES: Facilitating re-mediation of Wikipedia’s socio-technical problems

Algorithmic systems—from rule-based bots to machine learning classifiers—have a long history of supporting the essential work of content moderation and other curation work in peer production projects. From counter-vandalism to task routing, basic machine prediction has allowed open knowledge projects like Wikipedia to scale to the largest encyclopedia in the world, while maintaining quality and consistency. However, conversations about what quality control should be and what role algorithms should play have generally been led by the expert engineers who have the skills and resources to develop and modify these complex algorithmic systems. In this paper, we describe ORES: an algorithmic scoring service that supports real-time scoring of wiki edits using multiple independent classifiers trained on different datasets. ORES decouples three activities that have typically all been performed by engineers: choosing or curating training data, building models to serve predictions, and developing interfaces or automated agents that act on those predictions. This meta-algorithmic system was designed to open up socio-technical conversations about algorithmic systems in Wikipedia to a broader set of participants. In this paper, we discuss the theoretical mechanisms of social change ORES enables and detail case studies in participatory machine learning around ORES from the 3 years since its deployment.
Intratype variants of the E 2 protein from human papillomavirus type 18 induce different gene expression profiles associated with apoptosis and cell proliferation

Persistent infections with high-risk human papillomaviruses (HR-HPVs) are linked to the development of cervical cancer due to a deregulation of the productive viral cycle in the host cell, leading to cell transformation. The E2 viral protein is expressed early during an HPV infection and regulates viral replication and transcription. Other functions have been attributed to E2, such as the promotion of apoptosis that are independent of its role in the regulation of the expression of E6 and E7 viral oncogenes. Moreover, it has been shown that the HPV16 E2 protein has regulatory effects on cellular gene expression, suggesting that it participates in the modulation of different cellular processes. Intratype genomic variations within high-risk HPV types have an impact on the prognosis of HPV-related lesions. Nevertheless, the biological significance of HPV18 E2 intratype variations has not been analysed previously. The aim of this study was to determine whether HPV18 E2 intratype variations differentially modulate gene expression and whether cell-death-related genes are affected by variations in E2. We demonstrate that HPV18 E2 intratype Asian Amerindian (AsAi) and African (Af) variants differentially affect gene expression profiles. Although the E2-AsAi variant was found to modulate a larger number of cellular genes, both E2 variants affected similar cellular processes. Nevertheless, E2-AsAi and E2-Af variants showed differences in their ability to induce apoptosis, where E2-Af had a stronger effect. The differences in gene expression profiles in cells harbouring E2 intratype variants suggest a possible effect on diverse cellular signalling pathways, and this might suggest an approach for identifying biological processes regulated by HPV18 E2 intratype variants.
EFFECTS OF CHANNEL INCLINATION ON TWO-PHASE FLOW CHARACTERISTICS FOR SMALL DIAMETER CHANNELS

An experimental investigation was carried out to elucidate the effect of the channel inclination on two-phase flow characteristics. Air/water flow was investigated inside a rectangular channel, 6.0 mm deep and 6.5 mm wide. The channel inclination varied from -90o to +90° relative to the horizontal plane. Flow patterns were identified and pressure drop was measured for mass velocities between 90 and 760 kg/m2s, corresponding to gas and liquid superficial velocities ranging from 0.09 to 19.4 m/s, and from 0.1 to 0.76 m/s, respectively. Flow patterns maps were developed according to the following approaches: (i) subjective approach based on flow images captured through a high-speed video camera; (ii) objective approach based a data-grouping algorithm, using metrics based on signals from the two-phase flow. Three flow patterns were identified: bubble, intermittent and annular. Stratified flows were not observed. Major differences in flow patterns transitions are observed comparing upward and downward flow. In general, the total pressure drop increased with increasing channel inclination, due to the contribution of the gravitational pressure drop parcel. In this study, the frictional pressure drop was estimated from the total pressure drop using different void fraction methods to estimate the gravitational parcel during inclined flow.
Evaluation of the PAP Smear Test Status of Women and Affecting Factors

Objective: This study was conducted to determine the status of women regarding participation in Pap smear testing and affecting factors. Method: The study was planned as cross-sectional and descri ptive. The sample of the study consisted of 192 women who applied at a family health center in Ista nbul between January 1 and May 30, 2015. “Personal Information Form” and “Health Belief Model Scale” w ere used to collect the data. Results: It was determined that the average age of women was 36.02±7.59, and 33.3% had university and postgraduate degrees. It was determined that 83.9% of t he women had knowledge about the pap smear test and 66.1% had previously got it. It was determined that t ere was a statistically significant difference b etween the average of education level, working status, smoking a d gynecological infection status of the women an d the average score of the Health Belief Model Scale. In addition, in the women who had Pap smear test, the health motivation score averages were found to be lower in the subgroups of the Health Belief Model Scale, wh ile the mean perception score of obstacle perception was lo w. Conclusion: Factors affecting women's pap smear test awareness w re found to be educational level, working status, smoking status, and gynecological infection status in the findings obtained from this study. I t is of great importance that the community is informed about the se reasons, as these can be prevented.