Genetic transformation in bacteria

Certain species of bacteria can become competent to take up high molecular weight DNA from the surrounding medium. DNA homologous to resident chromosomal DNA is transported, processed and recombined with the resident DNA. There are some variations in steps leading to transformation between Gram-positive bacteria likebiplococcus pneumoniae and Gram-negative bacteria represented byHaemophilus influenzae but the integration is by single-strand displacement in both cases. Plasmid (RSF0885) transformation is low inHaemophilus influenzae but this is increased significantly if (homologous) chromosomal DNA is spliced to plasmid DNA. In Haemophilus influenzae, rec1 function is required for peak transformation with chimeric plasmids. Chimeric plasmid fixed presumably extrachromosomally undergoes frequent recombination between homologous segments contained in resident chromosome and the plasmid

Prevalence of pulmonary tuberculosis in patients with diabetes mellitus and lower respiratory tract infection

Background: Pulmonary Tuberculosis (PTB) still remains a global public health problem. Diabetes Mellitus (DM), is a metabolic disorder characterized by hyperglycaemia. Diabetes along with poor glycaemic control leads to an immune compromised state. As prevalence of both TB and DM is increasing in India, this association of PTB and DM may prove a threat to TB control program. Aims and objectives of the study was to detect prevalence of pulmonary tuberculosis in patients with DM and Lower Respiratory Tract Infection (LRTI).Methods: Sputum specimen from consecutive 250 known diabetic adult patients with type 2 diabetes and clinical evidence of LRTI were processed for microscopy, solid culture and Xpert MTB/RIF assay. Clinical findings, duration of DM, regularity of treatment and recent fasting blood glucose level were noted.Results: TB was detected in 31(12.8%) patients. Microscopy, culture and Xpert assay were positive in 14(5.6%), 29(11.6%) and 24(9.5%) cases respectively. Culture detected seven cases more than Xpert assay. Two additional cases were detected by Xpert assay than culture. Rifampicin resistance was detected in seven (29.17%) cases by Xpert assay. TB detection rate was higher in patients with more than two weeks of cough (14.38%), history of tuberculosis (15.9%), hyperglycemia (13.9%) and significantly higher in those with irregular anti-diabetic treatment (35.7%).Conclusions: Irregular anti-diabetic treatment, hyperglycaemia and history of tuberculosis were strongly associated with pulmonary TB. Xpert assay should be used as the initial diagnostic test for detection of tuberculosis as well as rifampicin resistance in diabetic patients by TB control programme

Comparison of leaf volatile aroma constituents and phenolic acid profiles of the seedling originated polyembryonic mango (Mangifera indica L.) genotypes

In mango, leaf and fruit volatile aroma profiles are variety specific which can be used as fingerprint of a variety. Such biochemical markers can also discriminate the nucellar and zygotic seedlings in polyembryonic mango varieties. In order to validate the applicability of volatile as well as phenolic acid profiles as biomarkers, the open pollinated seedlings of three polyembryonic varieties of mango were compared with their mother trees. Leaf volatile and phenol acid profiling were done using Gas Chromatography/Mass Spectrometry (GCMS) and Liquid Chromatography/Mass Spectrometry (LCMS) methods respectively. The sesquiterpene hydrocarbons were the most abundant in all the genotypes studied. Monoterpenoids were the major compounds in cultivars Vellaikolumban and Olour, while the sesquiterpenoids were the major compounds in cv. Turpentine. While terpinolene was the major monoterpenoid compound in Vellaikolumban and limonene in cv. Olour, the sesquiterpene á-gurjunene was the major compound in cv. Turpentine. Volatile profiling showed clear differences between the varieties but was similar within a variety. Among the 15 phenolic acids quantified in the leaves, P-coumaric acid, gallic acid, and ferulic acids were predominant whereas, vanillic acid, syringic acid, gentisic acid, benzoic acid, and sinapic acids were low in quantity. Phenolic acid profile did not show significant diversity among the varieties and therefore cannot be used for identification of varieties. The volatile profiling can be used for the identification and differentiation of polyembryonic mango genotypes

Program transformations using temporal logic side conditions

This paper describes an approach to program optimisation based on transformations, where temporal logic is used to specify side conditions, and strategies are created which expand the repertoire of transformations and provide a suitable level of abstraction. We demonstrate the power of this approach by developing a set of optimisations using our transformation language and showing how the transformations can be converted into a form which makes it easier to apply them, while maintaining trust in the resulting optimising steps. The approach is illustrated through a transformational case study where we apply several optimisations to a small program

A Expermental Study of Stabilization of Expansive Soil by using Fly Ash and Rice Husk Straw Ash

In India, Black cotton soil covers over one-fifth ofthe entire land area. These are mostly found in and aroundthe Deccan plateau.Black cotton soil is an expansive soil which proves problematic for the engineering work. Black cotton soil has low bearing capacity, high compressibility and swelling and shrinkage properties. To overcome on these engineering problems soil stabilization is the best solution. In our research we used the concept of chemical stabilization. We used fly ash and rice husk straw ash in different proportion with black cotton soil. The present paper briefly describes the experimental investigation carried out by adding fly ash and rice husk straw ash to black cotton soil for improving its engineering properties

Arguments Against a Configural Processing Account of Familiar Face Recognition

Face recognition is a remarkable human ability, which underlies a great deal of people's social behavior. Individuals can recognize family members, friends, and acquaintances over a very large range of conditions, and yet the processes by which they do this remain poorly understood, despite decades of research. Although a detailed understanding remains elusive, face recognition is widely thought to rely on configural processing, specifically an analysis of spatial relations between facial features (so-called second-order configurations). In this article, we challenge this traditional view, raising four problems: (1) configural theories are underspecified; (2) large configural changes leave recognition unharmed; (3) recognition is harmed by nonconfigural changes; and (4) in separate analyses of face shape and face texture, identification tends to be dominated by texture. We review evidence from a variety of sources and suggest that failure to acknowledge the impact of familiarity on facial representations may have led to an overgeneralization of the configural account. We argue instead that second-order configural information is remarkably unimportant for familiar face recognition

Behavioural facial animation using motion graphs and mind maps

We present a new behavioural animation method that combines motion graphs for synthesis of animation and mind maps as behaviour controllers for the choice of motions, significantly reducing the cost of animating secondary characters. Motion graphs are created for each facial region from the analysis of a motion database, while synthesis occurs by minimizing the path distance that connects automatically chosen nodes. A Mind map is a hierarchical graph built on top of the motion graphs, where the user visually chooses how a stimulus affects the character's mood, which in turn will trigger motion synthesis. Different personality traits add more emotional complexity to the chosen reactions. Combining behaviour simulation and procedural animation leads to more emphatic and autonomous characters that react differently in each interaction, shifting the task of animating a character to one of defining its behaviour.</p

Situational Analysis of the Upper Bhima sub-basin in the context of the Water-Food-Biodiversity Nexus

This report was prepared as part of a research project titled “Soft systems analysis: Streamlining participatory approaches and agent-based models to explore ideas of fairness at the food-water-biodiversity (F-W-B) nexus (fairSTREAM)”. This project is funded by the International Institute for Applied System Analysis (IIASA) and is implemented in collaboration with two partners from India: Society for Promoting Participative Ecosystem Management (SOPPECOM) and Indian Institute of Science Education and Research Pune (IISER Pune). The project started in September 2021, and it will run till December 2024. The main goal of fairSTREAM is to develop and demonstrate a co-production methodology for including equity and justice (fairness) alongside efficiency in developing sustainable policy options across the Water-Food-Biodiversity nexus (WFB nexus). The demonstration component is placed in the Upper Bhima basin, and the specific objectives here are to design and test a systems-informed stakeholder knowledge co-production process with the purpose of developing fair and sustainable policy options for the WFB nexus. The co-production process involves several steps, namely: the assessment phase (including preparatory work, problem framing, and exploration of options) and the action planning phase. An evaluation process is also embedded across the different steps and phases. This report summarizes the findings of the preparatory and problem-framing phase, to contextualize the WFB nexus in the Upper Bhima, and what specific challenges it raises, both from a sustainability, equity, and fairness perspective. Other than serving as a reference document for primary stakeholders - farmers, fishers, and forest-dependent communities to contextualize the WFB nexus in the Upper Bhima, this situational analysis is intended to inform future phases, including the development and co-production of options using a combination of modeling and soft approaches