Multi-Agent System for predictive reconfiguration of Shipboard Power Systems

The electric power systems in U.S. Navy ships supply energy to sophisticated systems for weapons, communications, navigation and operation. The reliability and survivability of the Shipboard Power System (SPS) are critical to the mission of a surface combatant ship, especially under battle conditions. In the event of battle, various weapons might attack a ship. When a weapon hits the ship it can cause severe damage to the electrical system on the ship. This damage can lead to de-energization of critical loads on a ship that can eventually decrease a ships ability to survive the attack. It is very important, therefore, to maintain availability of energy to the connected loads that keep the power systems operational. Technology exists that enables the detection of an incoming weapon and prediction of the geographic area where the incoming weapon will hit the ship. This information can then be used to take reconfiguration actions before the actual hit so that the actual damage caused by the weapon hit is reduced. The Power System Automation Lab (PSAL) has proposed a unique concept called "Predictive Reconfiguration" which refers to performing reconfiguration of a ships power system before a weapon hit to reduce the potential damage to the electrical system caused by the impending weapon hit. The concept also includes reconfiguring the electrical system to restore power to as much of the healthy system as possible after the weapon hit. This dissertation presents a new methodology for Predictive Reconfiguration of a Shipboard Power System (SPS). This probabilistic approach includes a method to assess the damage that will be caused by a weapon hit. This method calculates the expected probability of damage for each electrical component on the ship. Also a heuristic method is included, which uses the expected probability of damage to determine reconfiguration steps to reconfigure the ships electrical network to reduce the damage caused by a weapon hit. This dissertation also presents a modified approach for performing a reconfiguration for restoration after the weapon hits the system. In this modified approach, an expert system based restoration method restores power to loads de-energized due to the weapon hit. These de-energized loads are restored in a priority order. The methods were implemented using multi-agent technology. A test SPS model based on the electrical layout of a non-nuclear surface combatant ship was presented. Complex scenarios representing electrical casualties caused due to a weapon hit, on the test SPS model, were presented. The results of the Predictive Reconfiguration methodology for complex scenarios were presented to illustrate the effectiveness of the developed methodology

Drone-Based Environmental Monitoring and Image Processing Approaches for Resource Estimates of Private Native Forest

This paper investigated the utility of drone-based environmental monitoring to assist with forest inventory in Queensland private native forests (PNF). The research aimed to build capabilities to carry out forest inventory more efficiently without the need to rely on laborious field assessments. The use of drone-derived images and the subsequent application of digital photogrammetry to obtain information about PNFs are underinvestigated in southeast Queensland vegetation types. In this study, we used image processing to separate individual trees and digital photogrammetry to derive a canopy height model (CHM). The study was supported with tree height data collected in the field for one site. The paper addressed the research question “How well do drone-derived point clouds estimate the height of trees in PNF ecosystems?” The study indicated that a drone with a basic RGB camera can estimate tree height with good confidence. The results can potentially be applied across multiple land tenures and similar forest types. This informs the development of drone-based and remote-sensing image-processing methods, which will lead to improved forest inventories, thereby providing forest managers with recent, accurate, and efficient information on forest resources

DEVELOPMENT OF CAUDAL FIN CELL LINE FROM HILL TROUT Barilius bendelisis (HAMILTON, 1807) FOR CYTOTOXICITY AND TRANSFECTION STUDIES

Stanična linija, nazvana BBdF-1, uspostavljena iz repne peraje Barilius bendelisis, presađena je na više od 52 „oblika“(prolaza) a održavala se u medijima L-15 koji sadrže 20% FBS. Porijeklo stanične linije potvrđeno je pomoću pojačanja djelomičnog područja 16S i COI mitohondrijskih genskih sekvenci. Utvrđeno je da je optimalna temperatura za rast stanične linije BBdF-1 28°C. Kariotipizacijom se utvrdio diploidni broj kromosoma kao 50. Stanice su pokazale snažno vezanje za citokeratinski marker i, prema tome, utvrđeno je da sliče epitelu. Jaka zelena fluorescencija primijećena je u stanicama BBdF-1 transficiranim vektorom phrGFP-II-N, što ukazuje da je prikladna za upotrebu u ispitivanjima ekspresije i manipulacije gena. Izvršena je i uspješna procjena citotoksičnosti dvaju teških metala, žive i kroma. Stanična linija može poslužiti kao koristan izvorni materijal za ranu provjeru toksičnosti pesticida/zagađivača i ekspresije gena.A cell line named BBdF-1, established from the caudal fin of hill stream fish Barilius bendelisis, has been subcultured for more than 52 passages and is being maintained in L-15 media containing 20% FBS. Species origin of the cell line was confirmed using amplification of partial region of 16S and COI mitochondrial gene sequences. The optimum temperature for growth of BBdF-1 cell line was found to be 28°C. Karyotyping revealed diploid chromosome number as 50. Cells exhibited strong binding for cytokeratin marker and thus were found to be epithelial-like. Strong green fluorescence was observed in BBdF-1 cells transfected with phrGFP-II-N vector, indicating its suitability for utilization in gene expression and manipulation studies. Successful assessment of cytotoxicity of two heavy metals, viz. mercury and chromium, was performed. The cell line can serve as a useful resource material for early toxicity screening of pesticides/pollutant and gene expression

A STUDY OF RECOVERY FROM GENERAL ANAESTHESIA AFTER PREOPERATIVE ADMINISTRATION OF ANTIMICROBIAL

ABSTRACT Antimicrobials are used prophylactily in any major surgery to cover perioperative wound infection and other infectious complication ,that may have interaction with muscle relaxant used for general anesthesia and the aim of our study is drug interaction and behavioural response of newly introduced antibiotics used with rocuronium. Gentamicin shortened onset and duration of block after intubating dose of rocuronium and also prolonged duration of extubation after last dose of rocuronium where as meropenem and ceftriaxone did not alter onset, duration and recovery characterstics of rocuronium. . From our study we can conclude that meropenem and ceftriaxone but not gentamicin, can be used safely during general anesthesia. The near ideal muscle relaxant must span the range of short, intermediate and long acting duration (as required by surgical procedure),have rapid onset, be highly metabolized, have no cumulative or cardiovascular effect, to be independent of kidney for elimination, and be easily antagonized. The most commonly used clinical agentsatracurium, doxacurium, vecuronium, pancuronium and pipecuronium-demonstrate some, but not all, of these properties. KEYWORDS : Rocuronium bromide is a relatively new nondepolarizing muscle relaxant. It is the first of these agents to have an onset time possibly as brief as that of suxamethonium without adverse side effect. Rocuronium bromide is mono-quaternary, aminosteroidal, nondepolarizing neuromuscular blocking agent with a rapid onset of actio

COVID-19 Rapid Antigen Test: Role in Screening Prior to Gastrointestinal Endoscopy

Background/Aims The severe acute respiratory syndrome coronavirus 2 pandemic has affected the gastrointestinal (GI) endoscopy units globally owing to the risk of transmission. We present our data on the use of rapid antigen test (RAT) as a screening tool prior to endoscopy to prevent the transmission of coronavirus disease (COVID-19). Methods This study was a retrospective analysis of patients who underwent any GI endoscopic procedure from July 2020 to October 2020 at a tertiary referral center in New Delhi, India. All patients underwent screening for COVID-19 using RAT, and endoscopy was performed only when the RAT was negative. The data are presented as numbers and percentages. Results A total of 3,002 endoscopic procedures were performed during the study period. Only one endoscopic procedure was performed in a COVID-19 positive patient. A total of 53 healthcare workers were involved in conducting these procedures. Only 2 healthcare workers (3.8%) were diagnosed COVID-19 positive, presumably due to community-acquired infection, during this period. Conclusions The COVID-19 RAT is easily usable as a simple screening tool prior to GI endoscopy during the COVID-19 pandemic

GGE biplot based assessment of yield stability, adaptability and mega-environment characterization for hybrid pigeon pea (Cajanus cajan

ABSTRACT GGE biplot methodology is a powerful tool to study relationship among test environments (E), genotypes (G) and genotype-by-environment interaction (GE). Present study was conducted on 10 short-duration genotypes in five test environments for two years, and 16 medium-duration genotypes in six test locations for three years in randomized complete block design with two replications. In short-maturity group three mega-environments (ME) were found-ME1 comprised of Phaltan, Patancheru and Hyderabad1; ME2 and 3 constituted Jalna and Aurangabad, respectively. In scenario of limited resources, Patancheru may be a good testing location for general adaptability of short-duration hybrids, while Aurangabad and Hyderabad1 may be right environments for testing specific adaptation of short-duration cultivars in pigeonpea. ICPH 2433 was a winning genotype in ME1 in terms of high yield and stability. In medium-maturity group, two MEs were observed. Jalna, Jalna 1, Parbhani and Hyderabad grouped together as ME1, while Patancheru and Phaltan formed the second mega-environment (ME2). Parbhani was found to be most representative of all the six test locations. Jalna (ME1) and Phaltan (ME2) produced longest environment vectors, and hence may be regarded as highly discriminating. In mediummaturity group ICPH 2673 was found to be stable and high-yielding genotype for ME1

Identification of risk factors for malaria control by focused interventions in Ranchi district, Jharkhand, India

Background & objectives: Ranchi, the capital of Jharkhand state is endemic for malaria, particularly the Bundu Primary Health Centre (PHC) is the worst affected. Therefore, a study was initiated during 2009 using remote sensing (RS) and geographical information system (GIS) to identify risk factors responsible for high endemicity in this PHC. Methods: Bundu and Angara in Ranchi district were identified as high and low malaria endemic PHCs based on epidemiological data of three years (2007–09). The habitation, streams, other water body, landform, PHC and village boundary thematic maps were prepared using IRS-P6/LISS III-IV imageries and macro level breeding sites were identified. Digital elevation model (DEM) of the PHCs was generated using Cartosat Stereo Pair images and from DEM, slope map was derived to calculate flat area. From slope, aspect map was derived to indicate direction of water flow. Length of perennial streams, area under rocky terrain and buffer zones of 250, 500 and 750 m were constructed around streams. High resolution remote sensing imageries were used to identify micro level breeding sites. Based on macro-micro breeding sites, six villages from each PHC were selected randomly having combination of different parameters representing all ecotypes. Entomological data were collected during 2010–11 in pre- and post-monsoon seasons following standard techniques and analyzed statistically. Differential analysis was attempted to comprehend socioeconomic and other determinants associated with malaria transmission. Results: The study identified eight risk factors responsible for higher malaria endemicity in Bundu in comparison to Angara PHC based on ecological, entomological, socioeconomic and other local parameters. Conclusion: Focused interventions in integrated vector management (IVM) mode are required to be carried out in the district for better management and control of disease

Seed nutritional quality in lentil (Lens culinaris) under different moisture regimes

The world’s most challenging environmental issue is climate change. Agricultural productivity and nutritional quality are both substantially threatened by extreme and unpredicted climate events. To develop climate resilient cultivars, stress tolerance along with the grain quality needs to be prioritized. Present study was planned to assess the effect of water limitation on seed quality in lentil, a cool season legume crop. A pot experiment was carried out with 20 diverse lentil genotypes grown under normal (80% field capacity) and limited (25% field capacity) soil moisture. Seed protein, Fe, Zn, phytate, protein and yield were recorded in both the conditions. Seed yield and weight were reduced by 38.9 and 12.1%, respectively, in response to stress. Seed protein, Fe, Zn, its availability as well as antioxidant properties also reduced considerably, while genotype dependent variation was noted with respect to seed size traits. Positive correlation was observed between seed yield and antioxidant activity, seed weight and Zn content and availability in stress. Based on principal component analysis and clustering, IG129185, IC559845, IC599829, IC282863, IC361417, IG334, IC560037, P8114 and L5126 were promising genotypes for seed size, Fe and protein content, while, FLIP-96-51, P3211 and IC398019 were promising for yield, Zn and antioxidant capacity. Identified lentil genotypes can be utilized as trait donors for quality improvement in lentil breedin

A comparative study of model ingredients: fragmentation in heavy-ion collisions using quantum molecular dynamics model

We aim to understand the role of NN cross-sections, equation of state as well as different model ingredients such as width of Gaussian, clusterisation range and different clusterisation algorithms in multifragmentation using quantum molecular dynamics model. We notice that all model ingredients have sizable effect on the fragment pattern.Comment: 12 Pages, 4 Figure