44 research outputs found

    BL Explainer. What the Yes Bank AT1 bonds fiasco is all about

    Get PDF

    Dissection of Besnoitia besnoiti intermediate host life cycle stages: From morphology to gene expression.

    Get PDF
    Cyst-forming Apicomplexa (CFA) of the Sarcocystidae have a ubiquitous presence as pathogens of humans and farm animals transmitted through the food chain between hosts with few notable exceptions. The defining hallmark of this family of obligate intracellular protists consists of their ability to remain for very long periods as infectious tissue cysts in chronically infected intermediate hosts. Nevertheless, each closely related species has evolved unique strategies to maintain distinct reservoirs on global scales and ensuring efficient transmission to definitive hosts as well as between intermediate hosts. Here, we present an in-depth comparative mRNA expression analysis of the tachyzoite and bradyzoite stages of Besnoitia besnoiti strain Lisbon14 isolated from an infected farm animal based on its annotated genome sequence. The B. besnoiti genome is highly syntenic with that of other CFA and also retains the capacity to encode a large majority of known and inferred factors essential for completing a sexual cycle in a yet unknown definitive host. This work introduces Besnoitia besnoiti as a new model for comparative biology of coccidian tissue cysts which can be readily obtained in high purity. This model provides a framework for addressing fundamental questions about the evolution of tissue cysts and the biology of this pharmacologically intractable infectious parasite stage

    Dissection of Besnoitia besnoiti intermediate host life cycle stages: From morphology to gene expression

    Full text link
    Cyst-forming Apicomplexa (CFA) of the Sarcocystidae have a ubiquitous presence as pathogens of humans and farm animals transmitted through the food chain between hosts with few notable exceptions. The defining hallmark of this family of obligate intracellular protists consists of their ability to remain for very long periods as infectious tissue cysts in chronically infected intermediate hosts. Nevertheless, each closely related species has evolved unique strategies to maintain distinct reservoirs on global scales and ensuring efficient transmission to definitive hosts as well as between intermediate hosts. Here, we present an in-depth comparative mRNA expression analysis of the tachyzoite and bradyzoite stages of Besnoitia besnoiti strain Lisbon14 isolated from an infected farm animal based on its annotated genome sequence. The B. besnoiti genome is highly syntenic with that of other CFA and also retains the capacity to encode a large majority of known and inferred factors essential for completing a sexual cycle in a yet unknown definitive host. This work introduces Besnoitia besnoiti as a new model for comparative biology of coccidian tissue cysts which can be readily obtained in high purity. This model provides a framework for addressing fundamental questions about the evolution of tissue cysts and the biology of this pharmacologically intractable infectious parasite stage

    Anesthetic Management of Pheochromocytoma Resection in Adults with Single Ventricle Physiology

    Get PDF
    Survival rates for patients with palliated congenital heart disease are increasing, and an increasing number of adults with cyanotic congenital heart disease (CCHD) might require surgical resection of pheochromocytoma-paraganglioma (PHEO-PGL). A recent study supports the idea that patients with a history of CCHD and current or historical cyanosis might be at increased risk for developing PHEO-PGL. We review the anesthetic management of two adults with single-ventricle physiology following Fontan palliation presenting for PHEO-PGL resection and review prior published case reports. We found the use of epidural analgesia to be safe and effective in the operative and postoperative management of our patients

    Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

    Full text link
    Deep learning recommendation models (DLRMs) are used across many business-critical services at Facebook and are the single largest AI application in terms of infrastructure demand in its data-centers. In this paper we discuss the SW/HW co-designed solution for high-performance distributed training of large-scale DLRMs. We introduce a high-performance scalable software stack based on PyTorch and pair it with the new evolution of Zion platform, namely ZionEX. We demonstrate the capability to train very large DLRMs with up to 12 Trillion parameters and show that we can attain 40X speedup in terms of time to solution over previous systems. We achieve this by (i) designing the ZionEX platform with dedicated scale-out network, provisioned with high bandwidth, optimal topology and efficient transport (ii) implementing an optimized PyTorch-based training stack supporting both model and data parallelism (iii) developing sharding algorithms capable of hierarchical partitioning of the embedding tables along row, column dimensions and load balancing them across multiple workers; (iv) adding high-performance core operators while retaining flexibility to support optimizers with fully deterministic updates (v) leveraging reduced precision communications, multi-level memory hierarchy (HBM+DDR+SSD) and pipelining. Furthermore, we develop and briefly comment on distributed data ingestion and other supporting services that are required for the robust and efficient end-to-end training in production environments

    A Quantitative Approach to Innovation in Agricultural Value Chains: Evidence from Kenyan Horticulture

    Get PDF
    In less developed countries such as Kenya, trade is increasingly occurring through, and employment is found within, global and local value chains. Yet, although innovation is widely recognised as crucial for development, the endogenous relationship between small-scale innovations and participation in global value chains (GVCs) has yet to be explored sufficiently. This endogeneity is highlighted using the 3L’s of labels, linkages and learnings as key overlapping factors that affect both the processes of innovation as well as GVC participation. Drawing on a survey of 320 fresh fruit farmers and 55 interviews in Kenya, we develop a novel method to quantify small-scale agricultural innovations, which are categorised into two overarching types. The first, formal, emanate from meeting standard requirements; the second, informal, evolve from local contexts and are less codified. We find that GVC farmers perform more formal innovations, while local farmers perform similar levels of informal innovation to GVC farmers

    Metabolic networks governing Toxoplasma gondii persistence and transmission

    No full text
    Toxoplasma gondii is an obligate intracellular parasite with the remarkable ability to infect any nucleated cell. The complex life cycle of the parasite takes place in a wide range of host niches with significant differentiation events. To adapt to these niches, the parasite is thought to rewire its metabolic capabilities, switching between biosynthesis and scavenge mechanisms. In this thesis, I will explore an integrated computational and experimental approach to understand the contributions of enzymes involved in the TCA cycle, fatty acid, vitamin B6 and heme metabolism, for the fast replicating tachyzoite stage. I describe the generation of harmonized stage-specific metabolic model, capable of predicting in silico essential genes, reactions, synthetic lethal pairs and a minimal media, along with experimental validation with CRISPR-Cas9 mediated genetics and metabolomics approaches. The importance of an essential TCA cycle enzyme, aconitase, and metabolic capabilities of a cyst-forming parasite, B. besnoiti was further interrogated and understood
    corecore