Assessment of the Stock of Threadfin Bream (Nemipterus japonicus) in the Northwest Continental Shelf of India

The maximum sustainable yields of N. japonicus and all-demersal fish from the northwest continental shelf are estimated to be 136,975 tons and 1,056246 tons respectively. The standing stock of N. japonicus in the Kamataka shelf is 38,621 tons. which is about 27.7% of the standing stock of all demersal species

Morphometry and biology of the duskyshark, Carcharhinus obscurus (Lesueur), from the oceanic region off the West Coast of India

The correlation co-efficient (r) for the regression of various morphometric characteristics on total length ranged from 0.736 for the second dorsal (02 ) base to 0.997 for the standard length from snout to origin of dorsal Ic)be of caudal. The length (total) at birth ranges from 69 cm to 102 cm. The lengths at the age of 1, 10,20 and 30 years were estimated to be 102 cm, 269 cm, 341 cm and 366 cm respectively. The total life span is about 30 years

On Steady State Behaviour of a Network Queuing Model with Biserial and Parallel Channels Linked With a Common Server

This paper is an attempt to study the steady state behaviour of a complex Network queuing model in which a common channel is linked in series with each of two systems, one containing two bi-serial channels and other three parallel channels in series. The arrivals of service pattern follow Poisson law. The generating function technique, law of calculus and statistical tools have been used to find the various queue characteristics. The model finds its application in decision making, in the process industries, in banking, in networking, in business service and in many administrative setups. A computer programme followed by a numerical example is also given to justify the model

On Steady State Behaviour of a Network Queuing Model with Biserial and Parallel Channels Linked With a Common Server

This paper is an attempt to study the steady state behaviour of a complex Network queuing model in which a common channel is linked in series with each of two systems, one containing two bi-serial channels and other three parallel channels in series. The arrivals of service pattern follow Poisson law. The generating function technique, law of calculus and statistical tools have been used to find the various queue characteristics. The model finds its application in decision making in the process industries, in banking, in networking, in business service and in many administrative setups. A computer programme followed by a numerical example is also given to justify the model

Population dynamics and stock assessment, of koth (Otolithoides biauritus, Cantor, 1850) along the North-West coast of India

MSY, growth, selection and mortality I,arameters of OtolithoUies biauritus have been worked out from data collected by MFV SarasJlluti of CIFE, and length frequency data from Ferry Wharf, Snsson dock, and Versol'a fish laIllJing centres of Bombay. Values of Loc, K, and to obtained from lenght frequency study are 1572mm, 0.2633/yr and 0.0289 yr respectively, and of weight growth I,arameters are Woe = 10067g, K= 0.03904/yr and to = 0.0137yr. Selection parameters are Lr + 150mm, tr + 0.4167 yr Ie + 240mm and tc = 0.6367yr. Selection factor (K) for codend worl.ed out to be 12. Based on Z=0.6486, the MSY of Otolithoides Mauri/us off northwest coast of India is assessed as 1 ,802 ton~ which is slightly higher than the current catch level of 1,634 tons

Idle / Waiting Time Operator Oi,w Of An Equivalent Job For A Job Block Criteria To Minimize The Rental Cost In Two Stage Flow Shop Scheduling, the Processing Time Associated With Probabilities

The present paper is an attempt to study the n x 2 flow shop production scheduling problem in which the processing times are associated with their respective probabilities and follows some restrictive rental policy including equivalent job block criteria. The objective of the study is to get optimal sequence of the jobs in order to minimize the rental cost using idle/waiting time operator through the iterative algorithm. The operator technique is an easy approach in economical and computational point of view and gives an optimal schedule rule in order to minimize the rental cost of the machines. The model is justified by a computer programme followed by a numerical illustration

Optimal Two Stage Flow Shop Scheduling to Minimize the Rental Cost including Job Block Criteria, Set Up Times and Processing Times Associated with Probabilities

This paper is an attempt to study the two stage flow shop scheduling problem in which the processing time and independent set up times of the jobs are associated with probabilities to minimize the rental cost under restrictive rental policy including equivalent job-block criteria. The study gives an optimal schedule rule in order to minimize the rental cost of machines through heuristic approach. The proposed method is very simple and easy to understand and also, provide an important tool for decision makers. To make the method effective and justified a computer program followed by a numerical illustration is given

A multiattribute utility evaluation of different methods for the detection of enteric protozoa causing diarrhea in AIDS patients

<p>Abstract</p> <p>Background</p> <p>Enteric protozoa and sporozoa have emerged as important opportunistic parasites and can cause fatal infections in AIDS patients. The line of treatment being different for them necessitates an accurate and prompt identification of these to avoid empirical treatment. In this study which is the first of its kind from India we did a comprehensive evaluation of different techniques, comparing them on the basis of the attributes like yield, cost, time taken, expertise and infrastructure. For the first time combination of Calcoflour White and DAPI, a nuclear stain, were used to identify <it>Microsporidia </it>spp. Thus, a diagnostic protocol was devised for rapid, sensitive and cost effective identification of the opportunistic enteric protozoa.</p> <p>Results</p> <p>The organisms isolated from the stool samples of the cases (450 HIV patients) were predominantly <it>Cryptosporidium </it>spp., <it>Microsporidia </it>spp. and <it>Cyclospora </it>spp. Interestingly, the control group (200 relatives of the patients who were HIV negative) showed a high incidence (21%) of <it>Cryptosporidium </it>spp. We found a significant increase in the sensitivity of microscopy in detecting <it>Cryptosporidium </it>spp. and <it>Cyclospora </it>spp. after formol ether concentration. Kinyoun's staining was better compared to Modified safranin staining for <it>Cryptosporidium </it>spp. identification. Although ELISA had a sensitivity of 93.25% and specificity of 97% for <it>Cryptosporidium </it>spp. detection, we ranked Kinyoun's staining better than ELISA because it is not affordable to most of our patients. For detecting <it>Cyclospora cayetanensis</it>, autoflourescence was the easiest and most cost effective method followed by Safranin technique. Combination of Calcoflour White stain and DAPI gave good results for the identification of <it>Microsporidia </it>spp. We assessed the above techniques and graded the attributes in the following descending order: cost effectiveness, sensitivity, ease of use and interpretation, time taken for the procedure and batch testing.</p> <p>Conclusion</p> <p>Thus, we conclude that a combination of minimum three procedures should be carried out for the screening of stool specimens of HIV positive patients. Kinyoun's staining should be made mandatory for every diarrheal stool sample from HIV patients. Also every laboratory should assign its own value to the attributes and apply Multiattribute utility theory or the Analytical hierarchy process to decide the most appropriate methodology.</p

An Examination of How Robots, Artificial Intelligence, and Machinery Learning are Being Applied in the Medical and Healthcare Industries

Machine learning techniques are associated with diagnostics systems to apply methods that enable computers to link patient data to earlier data and give instructions to correct the disease.In recent years, researchers have promoted two or three data mining based techniques for disease diagnosis. Each function in machine learning and data mining techniques is built through characteristics and features.As a part of prognosis, information must be separated from patient data and information retrieved in stored databases and comparative records. For any disease, early diagnosis or diagnosis will determine the chances of a correct recovery. Disease prediction therefore becomes a more important task to support physicians in delivering efficient treatment to people.In health care, data is being created and disposed of at an extraordinary rate compared to the health care sectors. Data for medical profiling is often found in a variety of sources such as electronic health records, lab and imaging systems, doctor notes and accounts. The medical records database will then contain irrelevant data sourced from multiple sources. Preprocessing data and eliminating irrelevant data then immediately opening it up for predictive analysis is one of the significant difficulties of the health care industry

Risk Factors Associated with Death in In-Hospital Pediatric Convulsive Status Epilepticus

Objective: To evaluate in-patient mortality and predictors of death associated with convulsive status epilepticus (SE) in a large, multi-center, pediatric cohort. Patients and Methods: We identified our cohort from the KID Inpatient Database for the years 1997, 2000, 2003 and 2006. We queried the database for convulsive SE, associated diagnoses, and for inpatient death. Univariate logistic testing was used to screen for potential risk factors. These risk factors were then entered into a stepwise backwards conditional multivariable logistic regression procedure. P-values less than 0.05 were taken as significant. Results: We identified 12,365 (5,541 female) patients with convulsive SE aged 0–20 years (mean age 6.2 years, standard deviation 5.5 years, median 5 years) among 14,965,571 pediatric inpatients (0.08%). Of these, 117 died while in the hospital (0.9%). The most frequent additional admission ICD-9 code diagnoses in addition to SE were cerebral palsy, pneumonia, and respiratory failure. Independent risk factors for death in patients with SE, assessed by multivariate calculation, included near drowning (Odds ratio [OR] 43.2; Confidence Interval [CI] 4.4–426.8), hemorrhagic shock (OR 17.83; CI 6.5–49.1), sepsis (OR 10.14; CI 4.0–25.6), massive aspiration (OR 9.1; CI 1.8–47), mechanical ventilation >96 hours (OR9; 5.6–14.6), transfusion (OR 8.25; CI 4.3–15.8), structural brain lesion (OR7.0; CI 3.1–16), hypoglycemia (OR5.8; CI 1.75–19.2), sepsis with liver failure (OR 14.4; CI 5–41.9), and admission in December (OR3.4; CI 1.6–4.1). African American ethnicity (OR 0.4; CI 0.2–0.8) was associated with a decreased risk of death in SE. Conclusion: Pediatric convulsive SE occurs in up to 0.08% of pediatric inpatient admissions with a mortality of up to 1%. There appear to be several risk factors that can predict mortality. These may warrant additional monitoring and aggressive management