Economic analysis of trout feed production in Jammu and Kashmir, India

The Present study is an attempt to understand the economics of trout feed production in the state of Jammu and Kashmir. Trout feed production is capital intensive business which requires high initial capital investment. The results revealed that major fixed investment required in trout feed production was feed mill itself which accounted about 71.44 percent of the total investment. The cost and return analysis showed that the variable cost accounts 59.16 percent whereas fixed cost accounted 40.84 percent of the total cost respectively. Among the variable cost raw material was found out to be single most important factor which accounted about 56.37 percent of the total cost which was about 95.28 percent of the total variable cost. The average cost of production of trout feed was Rs.84.33/kg which ranged from Rs.78.45/kg in Kokarnag trout feed mill to Rs.90.2/kg in Manasbal trout feed mill but government has fixed selling price at Rs.73/Kg for the feed to maintain reasonable price level for private trout farmers. The availability and high price of raw material were found to be major constraints faced by feed producers. Economics analysis revealed that both the feed mills are operating at suboptimal level and there is need to utilize the feed mill to its full potential and export the surplus production to neighbouring state of Himachal Pradesh and other Himalayan states like Sikkim and Arunachal which will help the state fisheries department to generate extra income which can be used in other developmental activities

Early Repolarization Syndrome; Mechanistic Theories and Clinical Correlates

The early repolarization (ER) pattern on the 12-lead electrocardiogram is characterized by J point elevation in the inferior and/or lateral leads. The ER pattern is associated with an increased risk of ventricular arrhythmias and sudden cardiac death (SCD). Based on studies in animal models and genetic studies, it has been proposed that J point elevation in ER is a manifestation of augmented dispersion of repolarization which creates a substrate for ventricular arrhythmia. A competing theory regarding early repolarization syndrome (ERS) proposes that the syndrome arises as a consequence of abnormal depolarization. In recent years, multiple clinical studies have described the characteristics of ER patients with VF in more detail. The majority of these studies have provided evidence to support basic science observations. However, not all clinical observations correlate with basic science findings. This review will provide an overview of basic science and genetic research in ER and correlate basic science evidence with the clinical phenotype

New concepts in C. difficile management

BackgroundClostridium difficile infection is transmitted via spores, and the disease is mediated via secreted toxins. It represents a significant healthcare problem, and clinical presentation can range from asymptomatic carriage to life-threatening pseudomembranous colitis.Sources of datapublications in the field, with a focus on recent developments and concepts.Areas of agreementinfection control measures, antibiotic stewardship and current management of the initial episode of C. difficile infection.Areas of controversyselection and sequence of interventions for the management of recurrent C. difficile infection; management of persistent carriers of toxigenic C. difficile in patients at high risk of subsequent C. difficile infection.Growing pointsuse of faecal microbiota transplantation for recurrent C. difficile infection.Areas timely for developing researchrole of specific microbiota-mediated interventions and vaccination in the treatment and prevention of C. difficile infection

Nocardia kroppenstedtii sp. nov., a novel actinomycete isolated from a lung transplant patient with a pulmonary infection

An actinomycete, strain N1286T, isolated from a lung transplant patient with a pulmonary infection, was provisionally assigned to the genus Nocardia. The strain had chemotaxonomic and morphological properties typical of members of the genus Nocardia and formed a distinct phyletic line in the Nocardia 16S rRNA gene tree. It was most closely related to Nocardia farcinica DSM 43665T (99.8% gene similarity) but was distinguished from the latter by a low level of DNA:DNA relatedness. These strains were also distinguished by a broad range of phenotypic properties. On the basis of these data, it is proposed that isolate N1286T (=DSM 45810T = NCTC 13617T) should be classified as the type strain of a new Nocardia species for which the name Nocardia kroppenstedtii is proposed

Indoor navigation for the visually impaired : enhancements through utilisation of the Internet of Things and deep learning

Wayfinding and navigation are essential aspects of independent living that heavily rely on the sense of vision. Walking in a complex building requires knowing exact location to find a suitable path to the desired destination, avoiding obstacles and monitoring orientation and movement along the route. People who do not have access to sight-dependent information, such as that provided by signage, maps and environmental cues, can encounter challenges in achieving these tasks independently. They can rely on assistance from others or maintain their independence by using assistive technologies and the resources provided by smart environments. Several solutions have adapted technological innovations to combat navigation in an indoor environment over the last few years. However, there remains a significant lack of a complete solution to aid the navigation requirements of visually impaired (VI) people. The use of a single technology cannot provide a solution to fulfil all the navigation difficulties faced. A hybrid solution using Internet of Things (IoT) devices and deep learning techniques to discern the patterns of an indoor environment may help VI people gain confidence to travel independently. This thesis aims to improve the independence and enhance the journey of VI people in an indoor setting with the proposed framework, using a smartphone. The thesis proposes a novel framework, Indoor-Nav, to provide a VI-friendly path to avoid obstacles and predict the user s position. The components include Ortho-PATH, Blue Dot for VI People (BVIP), and a deep learning-based indoor positioning model. The work establishes a novel collision-free pathfinding algorithm, Orth-PATH, to generate a VI-friendly path via sensing a grid-based indoor space. Further, to ensure correct movement, with the use of beacons and a smartphone, BVIP monitors the movements and relative position of the moving user. In dark areas without external devices, the research tests the feasibility of using sensory information from a smartphone with a pre-trained regression-based deep learning model to predict the user s absolute position. The work accomplishes a diverse range of simulations and experiments to confirm the performance and effectiveness of the proposed framework and its components. The results show that Indoor-Nav is the first type of pathfinding algorithm to provide a novel path to reflect the needs of VI people. The approach designs a path alongside walls, avoiding obstacles, and this research benchmarks the approach with other popular pathfinding algorithms. Further, this research develops a smartphone-based application to test the trajectories of a moving user in an indoor environment

Interleukin 1 is a key driver of inflammatory bowel disease-demonstration in a murine IL-1Ra knockout model

Interleukin 1 (IL-1) is an important mediator of inflammation and tissue damage in inflammatory bowel disease (IBD). The balance between IL-1 and IL-1Ra as a natural inhibitor plays a vital role in a variety of diseases. Here, we investigated whether changes seen during IBD are induced spontaneously in mice lacking a functional IL-1rn gene. Histological staining was performed on the jejunum and ileum of BALB/c IL-1rn+/+ and IL-1rn-/- mice to characterize crypt-villus height, villus width, and number of goblet cells per villus. Pro-inflammatory cytokines, immune cell infiltration and matrix-degrading enzymes, together with the production of intestinal enzymes and the integrity of tight and adherent junction proteins were determined using immunohistochemistry. In the small intestine of BALB/c IL-1rn-/- mice the villus heights were significantly reduced; and in the ileum this was accompanied by a decrease in villi width. There was also an increase in goblet cell number and mucin production compared to wild-type mice. IL-1α and IL-1β immunopositivity were increased, whilst IL-1R1 expression was decreased in IL-1rn-/- mice. IL-15 and TNFα were also increased in older IL-1rn-/- mice. Increased polymorphonuclear and macrophage infiltration were seen in IL-1rn-/- mice, whilst expression of matrix-degrading enzymes and digestive enzymes were unchanged, except for dipeptidyl peptidase IV which was increased in younger IL-1rn-/- mice compared to wild type mice. The expression of tight and adhesion junctions were also dramatically decreased in IL-1rn-/- mice. In conclusion, IL-1rn-/- mice developed spontaneous abnormalities which displayed features associated with IBD, demonstrating a clear role for IL-1 in IBD

Design and Performance Evaluation of DL MAC Scheduling Model in LTE

In case of Long Term Evolution (LTE), the scheduler in the MAC layer of the eNodeB allocates the available radio resources among different UEs in a cell through proper handling of priority. The scheduling method used largely impacts the throughput of individual users as well as throughput of the cell. It is worthwhile to check on the throughput conditions for different scheduling scenarios before the actual deployment of LTE. This would help design the algorithm of the scheduler at the eNodeB appropriately. In this dissertation, the throughput conditions require to investigate for different scheduling methods in LTE