Quantitative indices to measure unit channel bar location: a theoretical and empirical study

Each and every channel bar possesses a specific location within a channel. The terms mid-channel bar, bank attached bar are lacking quantitative definition. The intention of formulation of the two indices is to measure the channel bar location on strict quantitative basis. These indices will precisely determine the location of the mid-channel bar and bank attached bar. The first measure will determine the physical location, considering only distance and the second one will be for determining virtual or relative location considering both distance and hydrologic parameters mainly discharge.Key Word: Physical location; Virtual location, Mid-channel bar, Bank attached ba

Phytoplanktonic diversity in lake Jaisamand, Rajasthan (India)

The present study describes the diversity of phytoplankton in the lake Jaisamand of Rajasthan (India). Results depict that phytoplankton was contributed by six major groups which comprised total 85 species. Out of which 13 belongs to Myxophyceae, 5 to Euglenophyceae, 38 to Chlorophyceae, 3 to Xanthophyceae, 1 to Cryptophyceae and 23 to Bacillariophyceae. Thus, Bacillariophyceae and Chlorophyceae turned up as the dominant groups in terms of density (159-554 numbers per liter and 24-485 numbers per liter) and species number (23 and 38), respectively. It was revealed that Jaisamand Lake maintained fairly good population of phytoplankton which is indication of providing broad base for achieving high productivity in this water body

Numerical Simulation and Design Assessment of Limited Feedback Channel Estimation in Massive MIMO Communication System

The Internet of Things (IoT) has attracted a great deal of interest in various fields including governments, business, academia as an evolving technology that aims to make anything connected, communicate, and exchange of data. The massive connectivity, stringent energy restrictions, and ultra-reliable transmission requirements are also defined as the most distinctive features of IoT. This feature is a natural IoT supporting technology, as massive multiple input (MIMO) inputs will result in enormous spectral/energy efficiency gains and boost IoT transmission reliability dramatically through a coherent processing of the large-scale antenna array signals. However, the processing is coherent and relies on accurate estimation of channel state information (CSI) between BS and users. Massive multiple input (MIMO) is a powerous support technology that fulfils the Internet of Things' (IoT) energy/spectral performance and reliability needs. However, the benefit of MIMOs is dependent on the availability of CSIs. This research proposes an adaptive sparse channel calculation with limited feedback to estimate accurate and prompt CSIs for large multi-intimate-output systems based on Duplex Frequency Division (DFD) systems. The minimal retro-feedback scheme must retrofit the burden of the base station antennas in a linear proportion. This work offers a narrow feedback algorithm to elevate the burden by means of a MIMO double-way representation (DD) channel using uniform dictionaries linked to the arrival angle and start angle (AoA) (AoD). Although the number of transmission antennas in the BS is high, the algorithms offer an acceptable channel estimation accuracy using a limited number of feedback bits, making it suitable for 5G massively MIMO. The results of the simulation indicate the output limit can be achieved with the proposed algorithm

Effect of thiourea on yield and nutrient uptake of coriander (Coriandrum sativum L.) varieties under normal and late sown conditions

A field experiment was conducted on loamy sand soil at Jobner (Rajasthan) during rabi season to study the effect of thiourea on yield and nutrient uptake of coriander (Coriandrum sativum) varieties under normal and late sown conditions. The crop sown at normal sowing time (last week of October) produced significantly higher seed yield (14.2 qha-1), straw yield (23.9 qha-1) and total uptake (14.2 kgha-1) of phosphorus (P) as compared to late sown crop. The concentration of nitrogen (N) and potassium (K) in seed and straw were significantly higher under late sown condition over normal sowing. The variety RCr-435 gave higher seed and straw yield, N and K concentrations in seed and straw and total uptake of N, P and K as compared to RCr-41. Application of thiourea (1000 ppm) at vegetative and flowering stages significantly increased the seed (24.6%) and straw yields (25.8%), N (25.6% and 27.3%) and K (25.2% and 26.0%) concentrations in seed and straw and total uptake of N, P and K as compared to water sprayed control. &nbsp

Prognostic model to predict postoperative acute kidney injury in patients undergoing major gastrointestinal surgery based on a national prospective observational cohort study.

Background: Acute illness, existing co-morbidities and surgical stress response can all contribute to postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. The aim of this study was prospectively to develop a pragmatic prognostic model to stratify patients according to risk of developing AKI after major gastrointestinal surgery. Methods: This prospective multicentre cohort study included consecutive adults undergoing elective or emergency gastrointestinal resection, liver resection or stoma reversal in 2-week blocks over a continuous 3-month period. The primary outcome was the rate of AKI within 7 days of surgery. Bootstrap stability was used to select clinically plausible risk factors into the model. Internal model validation was carried out by bootstrap validation. Results: A total of 4544 patients were included across 173 centres in the UK and Ireland. The overall rate of AKI was 14·2 per cent (646 of 4544) and the 30-day mortality rate was 1·8 per cent (84 of 4544). Stage 1 AKI was significantly associated with 30-day mortality (unadjusted odds ratio 7·61, 95 per cent c.i. 4·49 to 12·90; P < 0·001), with increasing odds of death with each AKI stage. Six variables were selected for inclusion in the prognostic model: age, sex, ASA grade, preoperative estimated glomerular filtration rate, planned open surgery and preoperative use of either an angiotensin-converting enzyme inhibitor or an angiotensin receptor blocker. Internal validation demonstrated good model discrimination (c-statistic 0·65). Discussion: Following major gastrointestinal surgery, AKI occurred in one in seven patients. This preoperative prognostic model identified patients at high risk of postoperative AKI. Validation in an independent data set is required to ensure generalizability

Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified