Miracle-dz/UniFAR-FTUs huggingface dataset:
Regeneration via direct organogenesis from leaf segments of eggplant (Solanum melongena L.).

Direct organogenesis from leaf explant of Indian variety of Solanum melongena L. (PLR1) was successfully achieved. Eggplant leaves cultured for 10–12 days on MS medium supplemented with (2iP) 2.0 mg LG1 and Naphthalene acetic acid (NAA) 1.0 mg LG1 induced high frequency shoot organogenesis (79-81%) and favored shoot elongation. Shoots developed from leaf explant directly after two weeks of explant inoculation. Shoot proliferation reached maximum in the presence of 2.0 mg LG1 2iP with induction of 4.5-5.0 average mean number of shoots per explant. High frequency of root induction (83-85%) was observed on medium supplemented with 1.0 mg LG1 Naphthalene acetic acid (NAA) with 6-7 mean number of roots whereas increase in the level of (IBA) Indole butyric acid (2.0 mg LG1) resulted in induction of roots along with development of callus from the base of the shoots. The plantlets with developed roots are hardened with 2:1 ratio of soil and vermiculite shifted to controlled environmental growth chamber with 8 h photoperiod for acclimatization and after ten days the plantlets are transferred to field condition. This protocol can be efficiently used for mass multiplication and also for regeneration of genetically transformed Solanum melongena tissue.
Music: A Help or a Hindrance to Creative Thinking?

Creative thinking is a highly useful skill on both an individual and a societal level (Sternberg & Lubart, 1999). The aim of this study is to provide understanding of what can help and what can hinder creative thinking. Many people choose to listen to music during study, while others do not (Etaugh & Ptasnik, 1982). Therefore, the current study investigates whether musical study preferences reflect performance, and if different thinking processes, often cited as important to creative thinking, are affected by music in the same manner. It was hypothesised that, music would affect performance on a convergent thinking (CT) task and a divergent thinking task (DT) differently. Furthermore, it was hypothesised that musical study preferences would produce contrasting effects of music on CT and DT. The study adopted a 2 (study preference: with music vs. no music) x2 (test condition: with music vs no music) x2 (performance: DT and CT) multivariate within-subjects experimental design. 38 participants (31 female, M = 22.5yrs, SD = 3.70) were opportunistically recruited via email from the Edinburgh Napier University participant pool and fourth year Psychology students. A three-way mixed factorial ANOVA could not support the two main hypotheses: background music did not produce differences in CT or DT and musical study preferences did not produce any main effect or interactions between CT and DT. Further analyses revealed that participants performed better in all tasks in their most preferred condition and participants successfully identified the most distracting condition to performance. The study indicates that DT and CT performance is enhanced in the most enjoyed condition: be it with or without music. This suggests that people benefit from environmental conditions, such as music, which they enjoy. This implies that people should be given more choice when it comes to work, study and exam conditions as this may produce enhanced performance in creative thinking in terms of CT and DT. Future research is recommended to validate the results and to consider other environmental factors which may enhance creative thinking.
Selection of suitable growth medium for free-living diazotrophs isolated from compost.

Four free-living nitrogen fixing bacteria, namely NC 2, NC 4, NC 10 and NC 11 were tested for nitrogenase activity. NC 10 performed the highest nitrogenase activity (3.01 x 10–3 mol/h/ml), followed by NC 4 (6.84 x 10–4 mol/h/ml), NC 2 (2.36 x 10–5 mol/h/ml) and NC 11 (7.48 x 10–5 mol/h/ml). The nitrogenase activity of mix culture was recorded as 7.48 x 10–5 mol/h/ml. Beijerinckia medium was the most suitable growth medium for all four organisms, followed by Derxia medium and Ashby’s medium. In these three mediums, high microbial density was obtained in a short period. The optimal growth was achieved within 48 h. Beijerinckia medium showed the highest O.D reading, 1.326 A at 24 h. This was followed by Derxia medium, 1.135 A and Ashby’s medium, 0.811 A. *Strategic Resources Research Centre, MARDI Headquarters, Serdang, P.O. Box 12301, 50774 Kuala Lumpur, Malaysia Authors’ full names: Stella Matthews and Suhaimi Masduki E-mail: stella@mardi.gov. my ©Malaysian Agricultural Research and Development Institute 2010 Introduction Nitrogen is the most important and limiting nutrient for plant growth. Biological Nitrogen Fixation (BNF) is a natural process whereby the atmospheric nitrogen is converted to ammonia by a specific enzyme known as nitrogenase. The process makes the unavailable form of nitrogen accessible to plants. The diazotrophs are the mediator of this process. Diazotrophs are the prokaryotic organisms, which have the ability to fix atmospheric nitrogen. They can be classified as symbiotic and non-symbiotic or free-living forms (Dalton 1980). At least 90 genera of specialized microorganisms are known to have the enzyme nitrogenase and can fix atmospheric N2 into NH3 (Murray and Jeff 2008). The most important contribution of BNF comes from the symbiotic association of certain microorganisms with the roots of higher plants. A classic example is the Rhizobium, which infect the roots of leguminous plants with a high degree of host specificity. Nonsymbiotic nitrogen fixation is restricted to certain microorganisms, mostly free-living bacteria and blue green algae. BNF appears to be a very important N source for paddy in the tropics, where, Azolla-cynobacteria symbiosis is estimated to fix a large amount of nitrogen. Approximately 50% of the N requirement of a flooded rice crop is met from the soil N pool, which is believed to be maintained through BNF by associate and free living microorganisms (Bohlool et al. 1992). On the other hand, Shuichi (1995) reported that the nitrogen fixed by free-living microorganisms is estimated less than 1 kg N/ha/year. Ravikumar et al. (2004) found that nitrogen-fixing Azotobacters are used as
CHAPTER-5 GAIN ENHANCEMENT BY MODIFIED RADIATING / GROUND PLANE 5 . 1

Along with wideband, gain of microstrip antenna is another important parameter for wireless applications. The inherent gain limitation of microstrip patch antennas restricted it from many commercial applications. There are so many reported techniques we have discussed so far for enhancement of gain of microstrip antennas. This chapter focuses on the development of compact, low cost and high gain novel microstrip antennas by modifying radiating plane as well as ground plane.
Bayesian Updating and Uncertainty Quantification using Sequential Tempered MCMC with the Rank-One Modified Metropolis Algorithm

Bayesian methods are critical for quantifying the behaviors of systems. They capture our uncertainty about a system's behavior using probability distributions and update this understanding as new information becomes available. Probabilistic predictions that incorporate this uncertainty can then be made to evaluate system performance and make decisions. While Bayesian methods are very useful, they are often computationally intensive. This necessitates the development of more efficient algorithms. Here, we discuss a group of population Markov Chain Monte Carlo (MCMC) methods for Bayesian updating and system reliability assessment that we call Sequential Tempered MCMC (ST-MCMC) algorithms. These algorithms combine 1) a notion of tempering to gradually transform a population of samples from the prior to the posterior through a series of intermediate distributions, 2) importance resampling, and 3) MCMC. They are a form of Sequential Monte Carlo and include algorithms like Transitional Markov Chain Monte Carlo and Subset Simulation. We also introduce a new sampling algorithm called the Rank-One Modified Metropolis Algorithm (ROMMA), which builds upon the Modified Metropolis Algorithm used within Subset Simulation to improve performance in high dimensions. Finally, we formulate a single algorithm to solve combined Bayesian updating and reliability assessment problems to make posterior assessments of system reliability. The algorithms are then illustrated by performing prior and posterior reliability assessment of a water distribution system with unknown leaks and demands.
Human Position Estimation System using Electric Field Resonance Coupling

Today in terms of security and caring, more various and robust information system about human existence in indoor environment (ex. rooms, buildings) are needed [3-6]. Especially, human position estimation system in such kinds of spaces is basic. To estimate human position, we focused on electric field resonance coupling [1-2]. By using electric field resonance coupling (EFRC), we can make a human position estimation system which has no tags and wider sensing area than previous position sensing systems using only pure electric field coupling. In this paper, to design an optimal transmitter using electric field resonance coupling, effects of changing the size and resonance of transmitters are validated by simulation. As a result, a more effective design of transmitter is shown.
RISK MINIMIZATION FOR MEDICAL WASTE MANAGEMENT SYSTEM IN BANDUNG CITY, INDONESIA: A LINEAR PROGRAMMING APPROACH (Minimasi Resiko dalam Sistem Pengelolaan Limbah Medis di Kota Bandung, Indonesia dengan Pendekatan Linear Programming)

A broad range of healthcare services provided by ho spital may generate medical waste. Although a large percentage of hospital waste is classifie d as general waste, which has similar nature as tha t of municipal solid waste and, therefore, could be disp osed in municipal landfill, a small portion of medi cal waste has to be managed in a proper manner to minimize risk to public health. A medical waste management model is proposed in order to minimize a risk to the public and commercial utilities such a s religious facility, bank, office, restaurant, hotel, gasoline station, education facility, mall a nd shopping center, and park & sport center due to transportati on of medical waste and ash and operational of medi cal waste treatment facility as well. The risk level of each public utility above is determined using Anal ytical Hierarchy Process (AHP) method. The problem i s solved by applying linear programming using optimization software of LINGO ® . The model finds optimal medical waste allocation from each hospital to the treatment facility and ash allocation from t he treatment to the final disposal site. The result shows that the shortest route may not meet minimum total risk as it is affected also by number and risk leve l of each public utility passed by medical waste and ash vehicles. Different utilities located surrounding the waste treatment will also generate different total risk.
Running head: GREEK WORD RECOGNITION BY THE DRC MODEL 1 Lexical and sublexical effects on visual word recognition in Greek: Comparing the Dual Route Cascaded (DRC) model to human behavior

We evaluated the Dual Route Cascaded (DRC) model of visual word recognition using Greek behavioral data on word and nonword naming and lexical decision, focusing on the effects of syllable and bigram frequency. DRC was modified to process polysyllabic Greek words and nonwords. The Greek DRC and native speakers of Greek were presented with the same sets of word and nonword stimuli, spanning a wide range on several psycholinguistic variables, and the sensitivity of the model to lexical and sublexical variables was compared to the effects of these factors on the behavioral data. DRC pronounced correctly all the stimuli and successfully simulated the effects of frequency in words, and of length and bigram frequency in nonwords. However, unlike native speakers of Greek, DRC failed to demonstrate sensitivity to word length and syllabic frequency. We discuss the significance of these findings in constraining models of visual word recognition.
A Dynamic, Hardware-in-the-Loop, Three-Axis Simulator of Spacecraft Attitude Maneuvering with Nanosatellite Dimensions

This paper presents the design and development of a nanosatellite-scale spacecraft three-axis simulator (“CubeSat Three-Axis Simulator,” or “CubeTAS”), the purpose of which is to enable experimental testing of Attitude Determination and Control Systems (ADCS) and methods for nanosatellites. The CubeTAS test-bed consists of a hollow hemispherical structure containing typical ADCS components of a three-axis stabilized spacecraft, including the following items: three flight-grade reaction wheels, a sun sensor, an inertial measurement unit, three custom-made magneto-torquer coils, an on-board computer, and a battery. The hemispherical structure and its content float over an air-bearing cup; this enables quasi-frictionless rotation in three degrees of freedom over a large angular displacement. A custom-made automatic balancing system enables micron-level-accurate coincidence of the center of mass and the center of rotation of the floating system, allowing the achievement of a quasi-torque-free rotation. An offboard, high-accuracy rotational metrology system and an off-board set of three large Helmholtz coils complete the test-bed.
Estimation of the compressive strength of high performance concrete with artificial neural networks

High performance concrete is one of the most commonly used materials in non-standard building structures. Aside from the basic components used for its manufacture (water, cement, fine and coarse aggregates), other components such as fly ash, blast furnace slag and superplasticizers are incorporated. In the present study, two types of additives and two types of microsilica have been used. The proportions of all the elements involved in preparing concrete have an influence on its final strength. Artificial neural networks have been used to estimate the compressive strength of high performance concrete mixtures using the results obtained with 296 specimens corresponding to various fabrication parameters. The estimate given by the neural network was evaluated by measuring the correlation between network responses and the expected values, which are the strength values measured in the laboratory. The artificial neural network response obtained in the present work had a correlation of 92% with the expected values used for the training and 89% when predicting values for new data. Key words: Artificial neuronal network, high performance concrete, compressive strength.
Job Mismatches and Labour Market Outcomes: Panel Evidence on University Graduates

The interpretation of graduate mismatch manifested either as over‐education or as over‐skilling remains problematical. This article analyses the relationship of educational and skills mismatch with pay, job satisfaction and job mobility using unique data from the Household, Income and Labour Dynamics in Australia (HILDA) survey. Over‐education and over‐skilling are found to be distinct phenomena and their combination results in the most severe negative labour market outcomes. Using panel methodology reduces strongly the size of many relevant coefficients, questioning previous cross‐sectional results in the literature. The article shows that the relationship between mismatch and labour market outcomes is strongly influenced by unobserved heterogeneity.
Bacterial and archaeal spatial distribution and its environmental drivers in an extremely haloalkaline soil at the landscape scale

Background: A great number of studies have shown that the distribution of microorganisms in the soil is not random, but that their abundance changes along environmental gradients (spatial patterns). The present study examined the spatial variability of the physicochemical characteristics of an extreme alkaline saline soil and how they controlled the archaeal and bacterial communities so as to determine the main spatial community drivers. Methods: The archaeal and bacterial community structure, and soil characteristics were determined at 13 points along a 211 m transect in the former lake Texcoco. Geostatistical techniques were used to describe spatial patterns of the microbial community and soil characteristics and determine soil properties that defined the prokaryotic community structure. Results: A high variability in electrolytic conductivity (EC) and water content (WC) was found. Euryarchaeota dominated Archaea, except when the EC was low. Proteobacteria, Bacteroidetes and Actinobacteria were the dominant bacterial phyla independent of large variations in certain soil characteristics. Multivariate analysis showed that soil WC affected the archaeal community structure and a geostatistical analysis found that variation in the relative abundance of Euryarchaeota was controlled by EC. The bacterial alpha diversity was less controlled by soil characteristics at the scale of this study than the archaeal alpha diversity. Discussion: Results indicated that WC and EC played a major role in driving the microbial communities distribution and scale and sampling strategies were important to define spatial patterns. Subjects Biodiversity, Ecology, Soil Science, Spatial and Geographic Information Science
General and Applied Romani Linguistics: Proceedings from the 6th International Conference on Romani Linguistics (review)

This is the fourth volume to come out of this series of conferences, and it reflects some of the older trends as well as new directions in the field of Romani Studies. The volume is organized into five sections: (1) dialectology; (2) studies on individual Romani dialects; (3) language change with and without contact; (4) computational linguistics; and (5) sociolinguistics. The collection opens with “The classification of Romani dialects: A geographic–historical perspective” by Y. Matras. The question of classifying dialects is central to the field of Romani linguistics. Challenging the more traditional “genetic” approach to Romani dialect classification, the author justifies the use of the “geographical diffusion model” in discussing the relationships between dialects. This is all the more significant since Romani is generally considered to be a non-territorial language. Essential to the new model is the idea that membership in a dialect group is not absolute, but rather relative to the specific linguistic features, with the whole network of dialects forming dialect continua. Thus, the article provides a new solid theoretical framework for researching and discussing the dialects of Romani (the framework has since been applied, for instance, in Tenser 2008). The discussion of dialectology by Matras sets the tone for several other articles in the volume, specifically the ones by Igla, Cherenkov, Sechidou, Adiego and Boretzky, all of which in one way or another concern the inter-dialectal variation in Romani. Another field that is naturally high on the list of topics throughout the volume is language contact. The article by B. Igla discusses the dialectology of the various Sinti-Manuš varieties from different parts of Central and Western Europe. The author discusses both the features that define the group as a whole and the outstanding linguistic features of certain dialects, especially the Piedmontese variety. Igla also compares, where relevant, the Sinti-Manuš linguistic characteristics with those of other dialect groups. The author underscores the surprising homogeneity of the S. -M. Group, as based on the sharing of conservative and innovative phonetic, morphological and lexical features. Among these are the avoidance of vocalic onset, similar treatment of the -s-/-hvariation, movement from
Antagonism of walnut endophytic bacteria against six crop pathogenic fungi and its diversity

Plant endophytes are great resources and potential capital in versatile application, including plant diseases biocontrol. We aimed to evaluate the antagonism of English walnut endophytic bacteria against different crop pathogenic fungi, to provide more alternatives for future disease biocontrol agents. The biocontrol capacity of thirty-six walnut endophytic bacterial isolates against the anthracnose fungus, Gnomonia leptostyla was evaluated. Fifteen isolates were tested against other five pathogenic fungi such as the cauliflower black spot pathogen, Alternaria brassicicola; the tobacco brown spot pathogen, A. alternata; the corn leaf spot pathogen Curvularia lunata; wheat Fusarium head blight pathogen, Fusarium graminearum and the cucumber anthracnose pathogen Colletotrichum orbiculare. From our results, it was observed that all the assayed strains suppressed the growth of six fungal pathogens at least 20% in petri dish. Among the endophytes, the highest inhibition rates were observed in endophytes XWR6 and XWL14 against A. brassicicola with values of 68.8 and 61.6% respectively; and the endophyte XWS7 against walnut anthracnose pathogen has the inhibition value of 60.5%. Particularly, endophytes XWS7 and XWS4 isolated from walnut stem, showed an inhibition rate above 40% in all the tested pathogens. Biochemical, physiological and phylogenetic analysis based on 16S-rDNA and gyrB sequences, allowed the identification of the fifteen endophytes at Bacillus spp. However, physiological differences and sequence diversity was observed among the isolates. These findings reveals English walnut endophytic bacteria have strong antagonism activities against crop pathogenic fungi, and show diversity in biochemical, physiological, 16SrDNA and gyrB sequences.
Identifying Riding Profiles Parameters from High Resolution Naturalistic Riding Data

A simple and flexible methodology is proposed in order to define Power-Two Wheelers (PTWs) riding profiles by distinguishing between regular and irregular PTW behaviors, by using high resolution naturalistic riding data. “Irregularities” in riding behavior are consistently expressed as outlying values in the multivariate consideration of a set of riding parameters. The detected irregularities are those that diverge from the centroid of the jointly considered riding variables and define critical riding situations that are further associated to typical riding events. Results indicate that the joint consideration of variables that are directly connected to the mechanical characteristics of the PTW, such as breaking, wheel speed, throttle and steering, are adequate to distinguish the regular from irregular riding behavior. Moreover, a regressor is constructed using neural networks and the influential determinants to the deviation from the rider’s regular actions are evaluated.
Experimental Demonstration of Non-Destructive Discrimination of Arbitrary Set of Orthogonal Quantum States Using 5-qubit IBM Quantum Computer on Cloud

A protocol for non-destructive descrimination of arbitrary set of orthogonal quantum states was proposed by V. S. Manu et al., using an algorithm based on quantum phase estimation. IBM Corporation has released a superconductivity based 5-qubit (5-qubit transmon bowtie chip 3 and IBM 5-qubit real processor) quantum computer named Quantum Experience and placed it on cloud. In this paper we take advantage of the online availability of those real quantum processors(ibmqx2 amd ibmqx4) and carry out the above protocol that has experimentally demonstrated earlier using NMR quantum processor. Here, we set up experiments for arbitrary one-qubit and two-qubit orthogonal quantum states. The experiment confirmed that the arbitrary orthogonal quantum states can be discriminate in a nondestructive manner with a high fidelity. We compare the outcomes of those experiments which are done by ibmqx2 and ibmqx4 processors. Here, we also show the state tomography for the single qubit experiments.