Miracle-dz/UniFAR-FTUs huggingface dataset:
Isolation and Identification of Pathogenic Bacteria from Brackish Waters of Chilika Lagoon, Odisha, India for Pharmaceutical Use

Aims: The present investigation was undertaken in order to isolate bacteria from eighteen different water samples collected from three different sectors of ‘Chilika’ lagoon of India and to study the resistance against ten different antibiotics viz., norfloxacin, tetracycline, ciprofloxacin, neomycin, nalidixic acid, ofloxacin, chloramphenicol, nitrofurantoin, streptomycin and amoxicillin as well as their serological implications. Methodology and Results: Four different pathogenic bacteria species viz., Shigella dysenteriae, Streptococcus lactis, Bacillus cereus and Klebsiella pneumoniae were isolated which showed a wide range of sensitivity to norfloxacin, tetracycline, ciprofloxacin, ofloxacin and nitrofurantoin. S. dysenteriae was sensitive to streptomycin where as other isolates were found to be resistant. Agarose gel electrophoresis failed to reveal plasmid DNA band indicating that the observed resistance was perhaps encoded by nucleotide sequences harboured on the chromosomal DNA. Bacterial isolates were used as antigen for the production of polyclonal antibodies in rabbits. Conclusion, significance and impact of study:All the isolates exhibited strong antigenic character with specific serological relationship which can be implicated towards development of novel and pharmaceutically effective antibacterial products.
The Task Matters: Comparing Image Captioning and Task-Based Dialogical Image Description

Image captioning models are typically trained on data that is collected from people who are asked to describe an image, without being given any further task context. As we argue here, this context independence is likely to cause problems for transferring to task settings in which image description is bound by task demands. We demonstrate that careful design of data collection is required to obtain image descriptions which are contextually bounded to a particular meta-level task. As a task, we use MeetUp! , a text-based communication game where two players have the goal of finding each other in a visual environment. To reach this goal, the players need to describe images representing their current location. We analyse a dataset from this domain and show that the nature of image descriptions found in MeetUp! is diverse, dynamic and rich with phenomena that are not present in descriptions obtained through a simple image captioning task, which we ran for comparison.
Fungi colonising oak seedlings (Quercus robur L.) in forest plantations in north-eastern Poland

Abstract Fungi colonising oak seedlings in forest plantations in north-eastern Poland were identified in 2014-2015. The evaluated 4- to 6-year bare root oaks originated from the Olsztynek Forest District (Regional Directorate of the State Forests in Olsztyn). In total, 744 fungal isolates belonging to 11 different species, and 11 genera, were identified in tested plants. Amongst them, 186 cultures (25%) were classified as plant pathogens. The most commonly isolated pathogenic fungi belonged to the Fusarium and Cylindrocarpon genera.
Chemopreventive Potential of Centella asiatica on B6F10 Melanoma Cell Lines in Experimental Mice

Summary The present study demonstrates the potential of aqueous extract of Centella against melanoma cells in experimental mice. Two groups of C57BL hybrid mice were maintained and orally pretreated with aqueous extract of Centella asiatica at the doses of 500 and 1000mg/kg body weight for 30 days showed increased activity in life span of animals and tumour volume was significantly reduced as compare to control. Histopathological studies revealed that control group of hybrid mice shows majority of viable tumour tissue compare to Centella extract treated section shows few areas of loci of viable tumour tissue with large area of necrosis with apoptotic bodies. The present finding showed chemopreventive potential of extract on
Divergence of dominant factors in soil microbial communities and functions in forest ecosystems along a climatic gradient

Abstract. Soil microorganisms play an important role in regulating nutrient cycling in terrestrial ecosystems. Most of the studies conducted thus far have been confined to a single forest biome or have focused on one or two controlling factors, and few have dealt with the integrated effects of climate, vegetation, and soil substrate availability on soil microbial communities and functions among different forests. In this study, we used phospholipid-derived fatty acid (PLFA) analysis to investigate soil microbial community structure and extracellular enzymatic activities to evaluate the functional potential of soil microbes of different types of forests in three different climatic zones along the north–south transect in eastern China (NSTEC). Both climate and forest type had significant effects on soil enzyme activities and microbial communities with considerable interactive effects. Except for soil acid phosphatase (AP), the other three enzyme activities were much higher in the warm temperate zone than in the temperate and the subtropical climate zones. The soil total PLFAs and bacteria were much higher in the temperate zone than in the warm temperate and the subtropical zones. The soil β-glucosidase (BG) and N-acetylglucosaminidase (NAG) activities were highest in the coniferous forest. Except for the soil fungi and fungi–bacteria (F/B), the different groups of microbial PLFAs were much higher in the conifer broad-leaved mixed forests than in the coniferous forests and the broad-leaved forests. In general, soil enzyme activities and microbial PLFAs were higher in primary forests than in secondary forests in temperate and warm temperate regions. In the subtropical region, soil enzyme activities were lower in the primary forests than in the secondary forests and microbial PLFAs did not differ significantly between primary and secondary forests. Different compositions of the tree species may cause variations in soil microbial communities and enzyme activities. Our results showed that the main controls on soil microbes and functions vary in different climatic zones and that the effects of soil moisture content, soil temperature, clay content, and the soil N ∕ P ratio were considerable. This information will add value to the modeling of microbial processes and will contribute to carbon cycling in large-scale carbon models.
Analysis of Speech Emotions in Realistic Environments

The classiﬁcation of emotional speech is a challenging task and it depends critically on the correctness of labeled data. Most of the databases used for research purposes are either acted or simulated. Annotation of such acted database is easier as the actor exaggerates the emotions. On the other hand, emotion labeling on real-world data is very difﬁcult due to confusion among the emotion classes. Another problem in such scenario is the class imbalance, because most of the data is found to be neutral in realistic environment. In this study, we perform emotion labeling on realistic data in a customized manner using emotion priority and conﬁdence level. The annotated speech corpus is then used for analysis and study. Percentage distribution of different emotion classes in the real-world data and the confusions between the emotions during labeling are presented.
Spin-glass behavior of the antiferromagnetic Ising model on a scale-free network

Randomness and frustration are considered to be the key ingredients for the existence of spin glass (SG) phase. In a canonical system, these ingredients are realized by the random mixture of ferromagnetic (FM) and antiferromagnetic (AF) couplings. The study by Bartolozzi et al. [Phys. Rev. B73, 224419 (2006)] who observed the presence of SG phase on the AF Ising model on scale free network (SFN) is stimulating. It is a new type of SG system where randomness and frustration are not caused by the presence of FM and AF couplings. To further elaborate this type of system, here we study Heisenberg model on AF SFN and search for the SG phase. The canonical SG Heisenberg model is not observed in d-dimensional regular lattices for (d ≤ 3). We can make an analogy for the connectivity density (m) of SFN with the dimensionality of the regular lattice. It should be plausible to find the critical value of m for the existence of SG behaviour, analogous to the lower critical dimension (dl) for the canonical SG systems. Here we study system with m = 2, 3, 4 and 5. We used Replica Exchange algorithm of Monte Carlo Method and calculated the SG order parameter. We observed SG phase for each value of m and estimated its corersponding critical temperature.
Growth, nutrient uptake and chemical composition of Chlorella sp. and Nannochloropsis oculata under nitrogen starvation

The production of microalgae biomass shows wide valuable uses, in the aquaculture, biotechnology, and food science, among others. However, microalgae show fluctuations in their chemical profile generated mainly by the culture conditions. This study was designated to assess the effects of nitrogen starvation on growth, nutrient uptake, and gross chemical composition of Chlorella sp. and Nannochloropsis oculata. The control experiments were performed with Conway culture medium in 13-day batch cultures, 12 h photoperiod, and aeration. A second experimental condition was the addition of the nutrients except nitrogen, one week after the start of growth (experiments designed as N-). Cell yield were similar in the control and in the N- experiments for both species. Cell biovolumes did not vary over growth in the control, but both microalgae exhibited larger cell biovolumes in N- experiments, probably as a consequence of the higher accumulation of storage substances. Dissolved nitrogen was exhausted before the end of the experiments, but phosphorus was not totally consumed. Protein and total carotenoid did not vary from the exponential to the stationary growth phase of the control in both species. For Chlorella sp. , concentrations of lipid did not vary in the control either, but there was a significant increase of carbohydrate over growth. In the N- experiment, concentrations of all substances varied throughout growth of Chlorella sp. , except lipid. For N. oculata , all substances exhibited significant variations over growth, except protein and total carotenoid in the control. Protein and chlorophyll-a concentrations decreased over growth in N- experiments for both species. In contrast, concentrations of carbohydrate increased throughout growth in N- experiments, especially in Chlorella sp. Nitrogen starvation caused accumulation of carbohydrate, but increments of lipid were restricted to N. oculata . Both species showed a fast growth, but the small content of lipid in Chlorella sp. is unfavorable for its use as a food-species in a monospecific diet in mariculture, and as a feedstock for biodiesel production. N. oculata is a lipid-rich species, and its lipid content can be successfully incremented through nitrogen starvation. This species is promising in uses that demand high concentrations of lipid, such as the production of biodiesel.
Advanced Control for Very Fast DC-DC Converters Based on Hysteresis of the Current Santa

The bandwidth achievable by using voltage mode control or current mode control in switch-mode power supply is limited by the switching frequency. Fast transient response requires high switching frequency, although lower switching frequencies could be more suitable for higher efficiency. This paper proposes the use of hysteretic control of the output capacitor current to improve the dynamic response of the buck converter. An external voltage loop is required to accurately regulate the output voltage. The design of the hysteretic loop and the voltage loop are presented. Besides, it is presented a non-invasive current sensor that allows measuring the current in the capacitor. This strategy has been applied for DVS (dynamic voltage scaling) on a 5 MHz buck converter. Experimental results validate the proposed control technique and show fast transient response from 1.5 V to 2.5 V in 2 .
The automatic blood-pressure control during Surgery using the fuzzy logic

In this research has been investigated the fuzzy logic strategy to adjust the arterial effective pressure through intravenous infusion with Proside Nitro Sodium. There is an increase with blood– pressure at cardiac patients after surgery. The goal is to create a automatic control system which it can decrease the blood pressure pendulous variations rapidly by the injection of proside nitro sodium. In this research has been used of the fuzzy controller to deter mine the infusion rate and value of proside nitro sodium and to stabilize the blood-pressure daring one minute.
Effiziente systematische Testgenerierung für Fahrerassistenzsysteme in virtuellen Umgebungen

Im Fokus dieses Beitrags steht die Entwicklung eines Testkonzepts, welches dazu geeignet ist, mit Hilfe von systematisch-erzeugten virtuellen Testszenarien verschiedene Fahrerassistenzsysteme effizient zu testen und validieren. Um die Anwendbarkeit und zugleich den Nutzen des Testkonzepts beurteilen und sukzessive optimieren zu konnen, wird das Testverfahren praxisnah angewendet. Hierzu werden exemplarisch aus den beiden Forschungsprojekten UR:BAN-KA und Stadtpilot verschiedene Teilfunktionen herangezogen. Das Konzept testet die Assistenzsysteme durch eine Vielzahl von verschiedenen Szenarien, die sich hinsichtlich einzelner Faktoren voneinander unterscheiden. Hierzu gehoren unter anderem verschiedenste Strasengeometrien und -topologien, Verkehrssituationen sowie Umwelteinflusse. Die einzelnen Parameter der Szenarien werden durch kombinatorische Verfahren variiert und auf diese Weise redundanzarme effiziente Testfalle erzeugt. Das Konzept umfasst ebenfalls eine simulationsgestutzte automatisierte Testdurchfuhrung und -auswertung. Realtests konnen durch das Testkonzept nicht vollstandig ersetzt werden, jedoch ist es moglich, die Anzahl der notwendigen Realtests erheblich zu reduzieren. Somit konnen schon zahlreiche Tests in einer fruhen Phase der Entwicklung durchgefuhrt und die Qualitat der Systeme verbessert werden.
Spin-transfer dynamics in spin valves with out-of-plane magnetized CoNi free layers

We have measured spin-transfer-induced dynamics in magnetic nanocontact devices having a perpendicularly magnetized Co/Ni free layer and an in-plane magnetized CoFe fixed layer. The frequencies and powers of the excitations agree well with the predictions of the single-domain model and indicate that the excited dynamics correspond to precessional orbits with angles ranging from zero to 90° as the applied current is increased at a fixed field. From measurements of the onset current as a function of applied field strength we estimate the magnitude of the spin torque asymmetry parameter ? 1.5. By combining these with spin torque ferromagnetic resonance measurements, we also estimate the spin-wave radiation loss in these devices.
Production of Antifungal Compounds and Hydrolytic Enzymes by Bacillus spp . As Mechanisms of Action against Phyllostictacitricarpa

Citrus black spot, which is caused by the fungus Phyllostictacitricarpa, affects almost all varieties of citrus and causes major problems in the commercialization of fruits in natura. To minimize the use of chemicals, biological control strategies have become increasingly attractive, and many Bacillus species have been reported to act as biocontrol agents. Therefore, this study aimed to elucidate the different mechanisms of action of bacteria against P. citricarpa. The production of antifungal substances (volatile, thermostable and cell-free molecules) and hydrolytic enzymes (β-1,3-glucanase and chitinase) were studied. The most promising bacterial isolates were identified by molecular techniques. We found that all 70 isolates of Bacillus spp. tested produced antifungal substances that tolerated high temperatures (120 oC) and resulted in up to 98% inhibition of pathogen colonies. With the exception of ACB-66, all other isolates produced cell-free metabolites in sufficient quantities to inhibit up to 100% of the P. citricarpa development. The four most promising isolates (ACB-08, ACB-12, ACB-63 and ACB-69) produced β-1,3-glucanase and were identified as Bacillus amyloliquefaciens, Bacillus subtilis, Bacillus methylotrophicus and Bacillus amyloliquefaciens, respectively. This study demonstrated the potential use of Bacillus spp. to control P. citricarpa.
Are the most recent estimates for Maunder Minimum solar irradiance in agreement with temperature reconstructions?

Estimates for the total solar irradiance (TSI) during the 17th‐century Maunder Minimum published in the last few years have pointed towards a TSI difference of 0.2–0.7 W m−2 as compared to the 2008/2009 solar minimum. Two recent studies, however, give anomalies which differ from this emerging consensus. The first study indicates an even smaller TSI difference, placing the Maunder Minimum TSI on the same level as the 2008/2009 minimum. The second study on the other hand suggests a very large TSI difference of 5.8 W m−2. Here I use coupled climate simulations to assess the implications of these two estimates on Northern‐hemisphere surface air temperatures over the past millennium. Using a solar forcing corresponding to the estimate of the first study, simulated Northern‐hemisphere temperatures over the past millennium are consistent with reconstructed surface air temperatures. The large TSI differences between times of high and low solar activity as suggested by the second study, however, yield temperatures during all past grand solar minima that are too low, an excessive variance in Northern‐hemisphere temperature on timescales of 50–100 years as compared to reconstructions, and temperatures during the first half of the 20th century which are too low and inconsistent with the instrumental temperature record. In summary this suggests a more moderate TSI difference of less than 1 W m−2 and possibly as low as 0–0.3 W m−2.
Natural History of Maguire Primrose, Primula cusickiana var. Maguirei (Primulaceae)

ABSTRACT. Natural history information for rare plants can help land managers better understand the threats to extinction that a taxon may face. Our focus is on the natural history of Maguire primrose (Primula cusickiana var. maguirei, Primulaceae), an endemic, threatened plant found along a narrow corridor within a single canyon in northern Utah. We examined floral morphology, air temperature, relative humidity during flowering, dichogamy, blooming period, and visits from flying insects. As with most Primula, Maguire primrose displays distinct floral distyly. Within the distylous flowers, 17% of our samples had a timing difference in the maturation of anthers and stigmas, a trait not previously recorded in any other Primula species. Temperatures during the early-spring blooming period fluctuated widely between recorded minima below 0 °C and maxima above 33 °C. We captured 8 different species of flying insects visiting Maguire primrose flowers in air temperatures ranging from 6 to 15 °C. Bloom timing was not well synchronized between different canyon locations. Between different canyon locations, we observed only a small number of plants that overlapped in their flowering phenology. This threatened primrose variety has a cool, early-season blooming period, a dependence on visiting insects for outcrossing, and disjunct populations throughout the canyon, resulting in the potential for serious challenges to reproduction.
Studies on the Effect of Interactions of Arbuscular Mycorrhiza ( Glomus mosseae ) and Plant Growth Promoting Rhizomicroorganisms ( Aspergillus awamori and Trichoderma harzianum ) on Growth and Development of Catharanthus roseus (L.) G.Don

: Catharanthus roseus is an important medicinal plant of family Apocyanaceae . Plant is important source of antitumorous alkaloids vincristine and vinblastine. In the current study interactions of Arbuscular Mycorrhizal Fungi (AMF) Glomus mosseae (GM) with Plant growth promoting Rhizomicroorganisms (PGPR), Aspergillus awamori and Trichoderma harzianum were studied on Catharanthus roseus plants for 60 days interactions under open pot conditions. One month old plant seedlings were inoculated with Glomus mosseae and PGPR species and physiological growth parameters were recorded after harvesting. Biochemical parameters pertaining to chlorophyll and carotenoid pigment analysis were done. Aspergillus awamori with Glomus mosseae proved to be better treatment than Trichoderma harzianum with 54% more number of leaves and 87.49% more fresh weight than Glomus mosseae and Trichoderma harzianum. Chlorophyll and carotenoid pigments were also found higher in Aspergillus awamori treatment. Aspergillus awamori with Glomus mosseae can be used as an ecofriendly measure for mass multiplication of Catharanthus roseus plants under open pot conditions by the nurserymen . In future further studies can be performed with different inoculation treatments of Plant growth
Emission Minimization with Artificial Bee Colony Algorithm Incorporating Distributed Generation Sources

This paper presents fuel cost and an emission minimization economic dispatch problem to examine effects Distributed generation sources like wind power and solar power on emission control in thermal power plant. The unsystematic nature of wind power is characterized by weibull probability distribution function to solve the probabilistic wind thermal economic emission dispatch problem. Maximum and minimum of wind power and an irradiance of solar power data for a particular day in each season can be described as a bimodal distribution function are considered in this work. A powerful method Artificial Bee Colony (ABC) algorithm is used to minimize the fuel cost and emission function and implemented in Matlab program. The effectiveness of ABC algorithm is verified by the result found on Standard IEEE six thermal units, and 30 bus systems. The optimized generation allocation, fuel cost, and emission reduction is obtained from proposed algorithm. For validating the effectiveness of ABC algorithm an economic emission dispatch problem is solved with and without considering wind and solar power. Finally results are comparing with particle swarm optimization (PSO) technique; from the result of comparison found that ABC method is more superior.
Multiple Instruction Multiple Data (MIMD) Implementation on Clusters of Terminals

: Today's life style is totally infatuated with computer and technical world and we all are also the part of the crowd . Many scientific and economic fields need a large computer power for their solution, but maximum solution are highly economic effective and expensive. The numeric simulation of complex systems like weather forecast, climate modeling, molecular biology and circuit design are some of such problem. There are two approaches to solve them. Either an expensive parallel supercomputer has to be used [First], or the computer power of workstations in a net can be bundle to computer the task distributed [Second]. The second approach has the advantage that we use the available hardware cost-effective. This paper describes the architecture of a heterogeneous, concurrent, and distributed system, which can be used for solving large computational problems. Here we present the basic solution by Multiple instruction stream and multiple data stream(MIMD) architecture for solving large complex problem. We present a concurrent tasks distributed application for solving complex computational tasks in parallel. The design process is parallel processing implementation on clusters of terminals using Java RMI.