Indigenous Knowledge on Healthcare Practices by the Reang Tribe of Dhalai District of Tripura, North East India

The present study aimed to prepare an inventory of ethnomedicinal plants used by the Reang tribe Dhalai district of Tripura state, India. Reangs are mostly residing in deep forest and depend on their own traditional health care system. The survey was conducted during 2003 to 2004 in the different villages of Dhalai district of the state covering all the seasons. In the present work a total of 58 medicinal plants species belonging to 57 genera and 39 families are presented. Out of the total collection, in maximum cases leaves (48.28%) are used which is followed by root/rhizome (29.31%), bark (10.34%), fruit/seed (8.62%), stem (3.45%) and whole plant (1.72%), against different ailments. The collected plants are mostly used in blood coagulation, cough and cold, fever and headache, diarrhoea and dysentery, stomach problem and gastritis, bone fracture and sprains, carbuncle, jaundice, leucorrhoe, rheumatism, ringworm etc. Plant parts used, their preparation, and doses are discussed along with the family and local names of the collected herbs

Ethnomedicinal Importance of Pteridophytes Used by Reang tribe of Tripura, North East India

The present study mainly focuses on the ethnomedicinal importance of Pteridophytic floras used by the Reang tribes of Tripura state, India. As many as 16 pteridophytic plants species belonging to 14 genera and 10 families are presented in this research article. The botanical name, family name, vernacular name, habit, and their ethnomedicinal uses are provided

A genetic algorithm based approach for solving optimal power flow problem

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Antigenic variability in Neuraminidase protein of Influenza A/H3N2 vaccine strains (1968 – 2009)

Antigenic drift and shift involving the surface proteins of Influenza virus gave rise to new strains that caused epidemics affecting millions of people worldwide over the last hundred years. Variations in the membrane proteins like Hemagglutinin (HA) and Neuraminidase (NA) necessitates new vaccine strains to be updated frequently and poses challenge to effective vaccine design. Though the HA protein, the primary target of the human immune system, has been well studied, reports on the antigenic variability in the other membrane protein NA are sparse. In this paper we investigate the molecular basis of antigenic drift in the NA protein of the Influenza A/H3N2 vaccine strains between 1968 and 2009 and proceed to establish correlation between antigenic drift and antigen-antibody interactions. Sequence alignments and phylogenetic analyses were carried out and the antigenic variability was evaluated in terms of antigenic distance. To study the effects of antigenic drift on the protein structures, 3D structure of NA from various strains were predicted. Also, rigid body docking protocol has been used to study the interactions between these NA proteins and antibody Mem5, a 1998 antibody

Trend analysis and forecasting coconut production in Assam

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Trend analysis and forecasting coconut production in Assam

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Transmission dynamics of novel influenza A/H1N1 2009 outbreak in a residential school in India

Transmission dynamics of an outbreak of novel influenza A/H1N1 (2009) in June-July 2009 in a residential school in Maharashtra, India has been studied. A mathematical model of the type susceptible-exposedinfectious- asymptomatic-recovered has been adopted for the purpose. Analyses of epidemiological data revealed that close clustering within population resulted in high transmissibility with basic reproduction number R0 = 2.61 and transmission rate (β) being 0.001566. Model has successfully described the dynamics of transmission in a residential school setting and helped in ascertaining the epidemiological parameters for asymptomatic cases and the effectiveness of the control measures. Our study presents a framework for studying similar outbreaks of influenza involving clustered populations

Climatic Determinants of Shrimp Yields in Tamil Nadu, India: A Transfer Function Analysis

Shrimp aquaculture in Tamil Nadu plays a critical role in supporting livelihoods and contributing to exports but is increasingly vulnerable to climatic variability. This study investigates how seasonal precipitation, extreme temperatures, and lagged production impact shrimp yields in four key districts—Tiruvallur, Cuddalore, Thanjavur, and Nagapattinam—over the period 2015–2023. Using statistical models, we identify major trends and district-specific sensitivities. For instance, excessive summer and winter precipitation coupled with high maximum temperatures reduced yields in Tiruvallur, whereas warmer summer nights boosted production. In Cuddalore, yields were hampered by seasonal precipitation, elevated minimum temperatures, and the lingering effects of previous yields. Thanjavur’s production suffered from extreme temperatures and winter rainfall but benefited from milder winter nights. Nagapattinam showed unique dynamics, where winter precipitation and summer maximum temperatures enhanced yields, while summer rainfall and lagged production had adverse effects. These findings highlight the need for tailored, district-specific strategies to manage climate risks and sustain shrimp farming. For example, adaptive measures such as optimizing water management or selecting climate-resilient shrimp varieties could mitigate negative impacts. Future research could integrate factors like water quality and disease outbreaks to strengthen the sector’s resilience further

Understanding the molecular determinants driving the immunological specificity of the protective pilus 2a backbone protein of Group B Streptococcus

The pilus 2a backbone protein (BP-2a) is one of the most structurally and functionally characterized components of a potential vaccine formulation against Group B Streptococcus. It is characterized by six main immunologically distinct allelic variants, each inducing variant-specific protection. To investigate the molecular determinants driving the variant immunogenic specificity of BP-2a, in terms of single residue contributions, we generated six monoclonal antibodies against a specific protein variant based on their capability to recognize the polymerized pili structure on the bacterial surface. Three mAbs were also able to induce complement-dependent opsonophagocytosis killing of live GBS and target the same linear epitope present in the structurally defined and immunodominant domain D3 of the protein. Molecular docking between the modelled scFv antibody sequences and the BP-2a crystal structure revealed the potential role at the binding interface of some non-conserved antigen residues. Mutagenesis analysis confirmed the necessity of a perfect balance between charges, size and polarity at the binding interface to obtain specific binding of mAbs to the protein antigen for a neutralizing response

Effect of GNP/Ni-TiO2 Nanocomposite Coated Copper Surfaces Fabricated by Electro Chemical Deposition under Nucleate Pool Boiling Regime: A Comprehensive Experimental Study

Current study presents an experimental analysis of nucleate pool boiling on the GNP/Ni-TiO2 (GNP-graphene nano particle) nano-composite coated copper surfaces. In order to produce the microporous surfaces, a two-step electro-deposition process is used. This deposition results in the formation of a modified surface structure, and various surface morphological characteristics of this modified structure, like wettability, roughness and surface structure are studied. The results reveal an improvement in CHF (critical heat flux) and BHTC (boiling heat transfer coefficient) in case of GNP/Ni-TiO2 coated surfaces. The main elements influencing the improved heat transfer of the GNP/Ni-TiO2nano-composite coating are its increased wettability, roughness, and high thermal conductivity. The SNCCC (superhydrophilic nano-composite coated copper) surfaces have the maximum BHTC of 97.52 (kW/m2K) and CHF of 2043 (kW/m2), which are 93% and 88% higher than the base Cu surfaces respectively. Here, it is analysed how the performance of SNCCC surfaces are enhanced by the impact of different parameters, like the roughness of the surface and wettability. The bubble characteristics at the time of boiling is noticed using a high-speed camera, and several factors such as nucleation site density, bubble departure diameter, and bubble emission frequency are statistically studied for SNCCC surfaces