Three Phase Grid-Connected Photovoltaic System using Three Level H-bridge Inverter under Partial Shading

This paper deals with three-phase three level H bridge inverter for a photovoltaic power plant interconnected to grid under variable irradiation conditions, that features a maximum power point tracking scheme based on the Perturb and Observe (P&O) method. With the aid of the sinusoidal pulse-width modulation control technique, proportional-integral controllers, and Park transformation, the inverter control system managed to convert photovoltaic power to ac power, stabilize the output voltage and current of a grid connected photovoltaic system. The photovoltaic module has been modelled, the maximum power point tracking algorithm and a three level inverter has been validated by simulation analysis. The simulation results show the detailed model of this grid-connected multi-level inverter and the control strategy used in the photovoltaic generation system

Biological and biochemical characterization of isolates of Helicoverpa armigera Nucleopolyhedrovirus [HaNPV] from different geographic locations of India

Six strains of HaNPV collected from different places of India were compared for their biological and biochemical characteristics. Based on the bioassay tests against second and third instar larvae of Helicoverpa armigera the order of activity in increasing order is UASD-HaNPV< AK-HaNPV<TN-HaNPV<PAU-HaNPV<GAUHaNPV< ICRISAT-HaNPV and no correlation was drawn between biological and biochemical characteristics. Electron microscopic observations of polyhedra, alkali disrupted polyhedra during purification and nucleocapsids are also presented

Neuromuscular disease genetics in under-represented populations: increasing data diversity

Neuromuscular diseases (NMDs) affect ∼15 million people globally. In high income settings DNA-based diagnosis has transformed care pathways and led to gene-specific therapies. However, most affected families are in low-to-middle income countries (LMICs) with limited access to DNA-based diagnosis. Most (86%) published genetic data is derived from European ancestry. This marked genetic data inequality hampers understanding of genetic diversity and hinders accurate genetic diagnosis in all income settings. We developed a cloud-based transcontinental partnership to build diverse, deeply-phenotyped and genetically characterized cohorts to improve genetic architecture knowledge, and potentially advance diagnosis and clinical management. We connected 18 centres in Brazil, India, South Africa, Turkey, Zambia, Netherlands and the UK. We co-developed a cloud-based data solution and trained 17 international neurology fellows in clinical genomic data interpretation. Single gene and whole exome data were analysed via a bespoke bioinformatics pipeline and reviewed alongside clinical and phenotypic data in global webinars to inform genetic outcome decisions. We recruited 6001 participants in the first 43 months. Initial genetic analyses ‘solved’ or ‘possibly solved’ ∼56% probands overall. In-depth genetic data review of the four commonest clinical categories (limb girdle muscular dystrophy, inherited peripheral neuropathies, congenital myopathy/muscular dystrophies and Duchenne/Becker muscular dystrophy) delivered a ∼59% ‘solved’ and ∼13% ‘possibly solved’ outcome. Almost 29% of disease causing variants were novel, increasing diverse pathogenic variant knowledge. Unsolved participants represent a new discovery cohort. The dataset provides a large resource from under-represented populations for genetic and translational research. In conclusion, we established a remote transcontinental partnership to assess genetic architecture of NMDs across diverse populations. It supported DNA-based diagnosis, potentially enabling genetic counselling, care pathways and eligibility for gene-specific trials. Similar virtual partnerships could be adopted by other areas of global genomic neurological practice to reduce genetic data inequality and benefit patients globally

Neuromuscular disease genetics in underrepresented populations : increasing data diversity

DATA AVAILABILITY : At the end of the study, participants de-identified exome and genome data will be archived in the European Molecular Biology Laboratory European Bioinformatics Institute’s European Genome-Phenome Archive (EMBL EBI EGA), with community access to this and selected de-identified REDCap data managed via an ICGNMD Data Access Committee.Neuromuscular diseases (NMDs) affect ∼15 million people globally. In high income settings DNA-based diagnosis has transformed care pathways and led to gene-specific therapies. However, most affected families are in low-to-middle income countries (LMICs) with limited access to DNA-based diagnosis. Most (86%) published genetic data is derived from European ancestry. This marked genetic data inequality hampers understanding of genetic diversity and hinders accurate genetic diagnosis in all income settings. We developed a cloud-based transcontinental partnership to build diverse, deeply-phenotyped and genetically characterized cohorts to improve genetic architecture knowledge, and potentially advance diagnosis and clinical management. We connected 18 centres in Brazil, India, South Africa, Turkey, Zambia, Netherlands and the UK. We co-developed a cloud-based data solution and trained 17 international neurology fellows in clinical genomic data interpretation. Single gene and whole exome data were analysed via a bespoke bioinformatics pipeline and reviewed alongside clinical and phenotypic data in global webinars to inform genetic outcome decisions. We recruited 6001 participants in the first 43 months. Initial genetic analyses 'solved' or 'possibly solved' ∼56% probands overall. In-depth genetic data review of the four commonest clinical categories (limb girdle muscular dystrophy, inherited peripheral neuropathies, congenital myopathy/muscular dystrophies and Duchenne/Becker muscular dystrophy) delivered a ∼59% 'solved' and ∼13% 'possibly solved' outcome. Almost 29% of disease causing variants were novel, increasing diverse pathogenic variant knowledge. Unsolved participants represent a new discovery cohort. The dataset provides a large resource from under-represented populations for genetic and translational research. In conclusion, we established a remote transcontinental partnership to assess genetic architecture of NMDs across diverse populations. It supported DNA-based diagnosis, potentially enabling genetic counselling, care pathways and eligibility for gene-specific trials. Similar virtual partnerships could be adopted by other areas of global genomic neurological practice to reduce genetic data inequality and benefit patients globally.This work was supported by a Medical Research Council strategic award to establish an International Centre for Genomic Medicine in Neuromuscular Diseases (ICGNMD) MR/S005021/1. Additional ICGNMD support including travel and subsistence costs was received from the National Brain Appeal (UK Charity 290173) and University College London Global Engagement Funds. Fellowships for R.S.S.F. and K.N. were funded by the Guarantors of Brain (UK Charity 1197319). The authors acknowledge and are grateful for: conference bursaries from the World Muscle Society to R.S.S.F. S.R., K.N., O.Y.K., P.J.T., V.V.Y. S.V.D.M. and R.L. are members of the European Reference Network for Rare Neuromuscular Diseases (ERN EURO-MND). M.P.K.: National Institute of Neurological Disorders and Stroke (1K23NS112463), American Association of Neuromuscular & Electrodiagnostic Medicine Development Award and Allen Foundation. D.B.: National Institute of Neurological Disorders and Stroke (K23NS117310) and support from Biogen for the KCTN1 Natural History Study. G.M.R.: University College London and UCLH Biomedical Research Centre funding, Health Education England and University College London Hospitals NHS Foundation Trust Innovation Fund. R.M.F., R.W.T. and K.P.: Wellcome core support (203105/Z/16/Z). R.M.F. received additional support from the Lily Foundation and the Leigh Syndrome International Consortium. A.T.: EU Horizon 2020 research and innovation Solve-RD project, No. 779257. F.H.W., M.S., M.B. and A.V.: South African Medical Research Council award ‘The genetics of Neuromuscular Diseases in South African patient populations: the ICGNMD study’. K.T. is funded by a J. C. Bose Fellowship, Science and Engineering Research Board (SERB) Department of Science and Technology, India. P.G. is supported by the Centre for DNA Fingerprinting and Diagnostics (CDFD) Core Research Grant, Department of Biotechnology, Government of India. R.H.: Wellcome award 109915/Z/15/Z, UK Medical Research Council award MR/N025431/1, the Lily Foundation, Evelyn Trust Research Grant (Ref 19/14), Action for A-T and UK Research and Innovation Newton Fund (MR/NO27302/1). P.F.C.: Wellcome awards 212219/Z/18/Z and 224486/Z/21/Z, UK Medical Research Council awards MC_PC_21046, MR/S035699/1 and MR/ S01165X/1, LifeArc Philanthropic Fund, NIHR BioResource for Translational Research in Common and Rare Diseases, Alzheimer’s Society, NIHR BioResource for Genes and Cognition and Leverhulme Trust. R.D.S.P.: UK Medical Research Council MR/ S002065/1 and MC_PC_21046, and the Lily Foundation. H.H.: UK Medical Research Council, Wellcome, UCLH Biomedical Research Centre (NIHR-BRC), Rosetrees Trust, and SOLVE-RD. M.M.R.: Wellcome grant G104817, National Institute of Neurological Disorders and Stroke and Office of Rare Diseases grants U54NS065712 and 1UOINS109403-01 and Muscular Dystrophy Association grant.https://www.edusoft.ro/brain/index.php/brainam2024Paediatrics and Child HealthSDG-03:Good heatlh and well-bein

Thyroid abscess due to Scedosporium apiospermum

We report a case of thyroid abscess caused by Scedosporium apiospermum in a patient with cirrhosis of liver and autoimmune haemolytic anaemia. To date, there are no reports of isolation of this fungus from thyroid abscess

Embryo-endometrial proteases during early mammalian development

756-763<span style="font-size:14.0pt;line-height: 115%;font-family:" times="" new="" roman";mso-fareast-font-family:"times="" roman";="" mso-ansi-language:en-in;mso-fareast-language:en-in;mso-bidi-language:hi"="" lang="EN-IN">In mammals, extensive remodeling of uterine endometrial matrix occurs during reproductive cycle and blastocyst implantation. This is regulated by a variety of molecules such as hormones, growth factors, cytokines and proteases. In this article, we review the current state or knowledge available on various proteases and their inhibitors functionally involved in the embryo-endometrial tissues and present some data on endometrial proteases in hamsters and rats during estrous cycle and early pregnancy. We demonstrate the presence of at least four gelat inolytic activities in endometrial samples, belonging to gelatinase-A and -B categories and their dependence on calcium/zinc ions for enzyme activity and, their interrelationships between zymogen and active forms. We believe that the embryo-endometrial proteases are essential for hatching or blastocysts and for the dynamic remodeling of endometrial tissue occurring during the critical peri implantation period.</span

Molecular evaluation of a novel missense mutation & an insertional truncating mutation in SUMF1 gene

Background & objectives: Multiple suphphatase deficiency (MSD) is an autosomal recessive disorder affecting the post translational activation of all enzymes of the sulphatase family. To date, approximately 30 different mutations have been identified in the causative gene, sulfatase modifying factor 1 (SUMF1). We describe here the mutation analysis of a case of MSD. Methods: The proband was a four year old boy with developmental delay followed by neuroregression. He had coarse facies, appendicular hypertonia, truncal ataxia and ichthyosis limited to both lower limbs. Radiographs showed dysostosis multiplex. Clinical suspicion of MSD was confirmed by enzyme analysis of four enzymes of the sulphatase group. Results: The patient was compound heterozygote for a c.451A>G (p.K151E) substitution in exon 3 and a single base insertion mutation (c.690_691 InsT) in exon 5 in the SUMF1 gene. The bioinformatic analysis of the missense mutation revealed no apparent effect on the overall structure. However, the mutated 151-amino acid residue was found to be adjacent to the substrate binding and the active site residues, thereby affecting the substrate binding and/or catalytic activity, resulting in almost complete loss of enzyme function. Conclusions: The two mutations identified in the present case were novel. This is perhaps the first report of an insertion mutation in SUMF1 causing premature truncation of the protein