Enhancing Fruit Yield in 'Ney Poovan' Banana (Musa paradisiaca L.) by De-Navelling and Feeding N, K and S through Distal Stalk-End of the Bunch

De-navelling and feeding ammonium sulphate (AS) (5-25 g/plant) with or without potassium sulphate (2.5-12.5 g/ plant) blended in 500 g of fresh cow-dung and applied to the distal stalk-end of the bunch of 'Ney Poovan' banana (Musa sp. L., AB) showed that the nutrients moved from the blend into the bunch and significantly enhanced weight of the fruits and of the bunch, compared to retention of flower, de-navelling (removal of male inflorescence) and application of 500 g cow-dung only to the excised distal stalk- end of the bunch. De-navelling caused 7.1% (5623 g) higher bunch yield, which increased to 13.9% (5980 g) when cow dung alone was applied after de-navelling. When cow dung was blended with 5 g of AS and 2.5 g of Sulphate of Potash, the response was 66.5% (9362 g) over de-navelling and application of cow dung alone and 78.3% (9362 g) over retention of male bud throughout (5250 g). A significantly higher N content, N uptake, Ndff (nitrogen derived from fertilizer), fertilizer N uptake, utilization of fertilizer and K and S content were observed when cow-dung enriched with AS and SOP was applied. Nitrogen content and all the parameters of N use were distinctly higher in the basal portion of the bunch indicating the flow of the applied nutrients upward from the de-navelled end. Results showed that application of 5 g ammonium sulphate and 2.5 g sulphate of potash blended in 500 g of fresh cow dung to the distal stalk-end of the bunch of 'Ney Poovan' banana was the most promising in boosting the yield, improving the nutritional composition in respect of N, K and S without adversely affecting the fruit quality

Influence of De-Navelling and Stalk-End Nutrient Application on Nutrient Composition of 'Robusta' Banana Fruits

The contents of N, P, Mg, S, Fe and Mn in banana fruit increased significantly due to denavelling from 0.32%, 0.086%, 0.12%, 0.024%, 52 ppm and 4.8 ppm, under 'control' to 0.37%, 0.085%, 0.13%, 0.027%, 59 ppm and 6.7 ppm, respectively. Dipping stalk end of the bunch in fresh cow dung enhanced these above nutrients to 0.40%, 0.086%, 0.14%. 0.028%, 63 ppm and 7.6 ppm, respectively. When cow dung was enriched with ammonium sulphate, the fruits showed 0.50-0.51% of N, 0.081-0.090% of P, 0.16-0.23% of Mg, 0.032-0.040% of S, 59-111 ppm of Fe and 8.1-17.8 ppm of Mn. Addition of potassium sulphate further enhanced this effect in respect of K (2.11-2.44%) and Fe (74-115 ppm) in fruit. Increasing level of ammonium sulphate in the blend significantly decreased Ca content of the fruit from 0.24% at 5 g to 0.10% at 25 g. When potassium sulphate was included in the blend, Ca content showed further reduction (0.19% at 5 g to 0.10% at 25g). At 15 g of ammonium sulphate and 7.5 g of potassium sulphate the maximum bunch weight of 27.993 kg was obtained (as against 16.724kg under retention of male bud throughout) corresponding to the enhanced nutrient composition of 2.44% of K, 0.12% of Ca, 0.18% of Mg, 0.033% of S, 115ppm of Fe and 14.9ppm of Mn that may have nutraceutical implications

Nutrient Dynamics of Annual Growth-Flush in Mango (Mangifera indica L.)

Internal nutrient dynamics in mango (cv. Alphonso) were studied during its annual growth flush (January - June, 2002). The study consisted of sampling mature leaves and growth belonging to the previous thirteen seasons at least (representing the seasonal growth of the previous six years) at fruit-set and post-harvest stages of plant growth. The samples were analyzed for N, P, K, Ca and Mg. The study indicated that phosphorus moved from 2nd, 3rd and 4th internodes to current season's growth and accumulated at other internodes, potassium moved from mature leaves to the new growth and accumulated in all the other internodes. Calcium and magnesium moved from 9th and older internodes to current season's growth, whereas, N was mostly remobilized from much older parts and by absorption from soil. The results imply that fertilizer application in productive mango trees should aim at keeping nutrient reserves of the permanent framework well-supplied to achieve sustained fruit production

Periodontitis as a Risk Factor for Preterm Low Birth Weight Infants: A Clinico-Epidemiological Evaluation

Background: There is growing evidence showing that a number of complex human diseases are caused or are at least influenced by periodontal diseases. Such diseases include cardiovascular diseases, respiratory diseases, diabetes mellitus, and osteoporosis. Aim: The aim of the present study was to evaluate periodontal diseases as a risk factor for preterm low birth weight infants. Methods: A case‑control study with a selection ratio of 1:1 was performed using 150 cases and 150 controls, who delivered their babies at Vanivilas Hospital, Bangalore, India, over a 3‑months period from January 2012–March 2012. Cases were defined as mothers delivering an infant weighing less than 2,500 gms and born before 37‑weeks gestation. Controls were mothers delivering an infant weighing more than 2,500 gms and born after 38‑weeks gestation. Patients were evaluated for age, socioeconomic status, obstetric risk, nutritional status, maternal morbidity, infections, toxic exposure, antenatal care, infant characters, through hospital records and personal questionnaire by incharge team members. Oral examination was performed using Extent and severity index, Sulcus Bleeding Index. Results: Cases and controls did not reveal any significant difference when compared for age, socioeconomic status, obstetric risk, nutrition, maternal morbidity, and antenatal care. Periodontal disease was more severe and extensive in cases when compared with control and the difference was statistically significant (P<0.001). Bleeding index scores were higher in cases as compared to control and was statistically significant (P<0.001). Conclusion: Within the limits of this study, it is concluded that a poor periodontal health status of the mother may be a potential risk factor for a preterm low birth weight.Keywords: Cytokines, preterm low birth weight, periodontitis, socioeconomic statu

Multicenter Validation of the Vasoactive-Ventilation-Renal Score as a Predictor of Prolonged Mechanical Ventilation After Neonatal Cardiac Surgery

Objectives: We sought to validate the Vasoactive-Ventilation-Renal score, a novel disease severity index, as a predictor of outcome in a multicenter cohort of neonates who underwent cardiac surgery. Design: Retrospective chart review. Setting: Seven tertiary-care referral centers. Patients: Neonates defined as age less than or equal to 30 days at the time of cardiac surgery. Interventions: Ventilation index, Vasoactive-Inotrope Score, serum lactate, and Vasoactive-Ventilation-Renal score were recorded for three postoperative time points: ICU admission, 6 hours, and 12 hours. Peak values, defined as the highest of the three measurements, were also noted. Vasoactive-Ventilation-Renal was calculated as follows: ventilation index + Vasoactive-Inotrope Score + Δ creatinine (change in creatinine from baseline × 10). Primary outcome was prolonged duration of mechanical ventilation, defined as greater than 96 hours. Receiver operative characteristic curves were generated, and abilities of variables to correctly classify prolonged duration of mechanical ventilation were compared using area under the curve values. Multivariable logistic regression modeling was also performed. Measurements and Main Results: We reviewed 275 neonates. Median age at surgery was 7 days (25th–75th percentile, 5–12 d), 86 (31%) had single ventricle anatomy, and 183 (67%) were classified as Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery Congenital Heart Surgery Mortality Category 4 or 5. Prolonged duration of mechanical ventilation occurred in 89 patients (32%). At each postoperative time point, the area under the curve for prolonged duration of mechanical ventilation was significantly greater for the Vasoactive-Ventilation-Renal score as compared to the ventilation index, Vasoactive-Inotrope Score, and serum lactate, with an area under the curve for peak Vasoactive-Ventilation-Renal score of 0.82 (95% CI, 0.77–0.88). On multivariable analysis, peak Vasoactive-Ventilation-Renal score was independently associated with prolonged duration of mechanical ventilation, odds ratio (per 1 unit increase): 1.08 (95% CI, 1.04–1.12). Conclusions: In this multicenter cohort of neonates who underwent cardiac surgery, the Vasoactive-Ventilation-Renal score was a reliable predictor of postoperative outcome and outperformed more traditional measures of disease complexity and severity

Characterization of a broad-based mosquito yeast interfering RNA larvicide with a conserved target site in mosquito semaphorin-1a genes

BACKGROUND: RNA interference (RNAi), which has facilitated functional characterization of mosquito neural development genes such as the axon guidance regulator semaphorin-1a (sema1a), could one day be applied as a new means of vector control. Saccharomyces cerevisiae (baker's yeast) may represent an effective interfering RNA expression system that could be used directly for delivery of RNA pesticides to mosquito larvae. Here we describe characterization of a yeast larvicide developed through bioengineering of S. cerevisiae to express a short hairpin RNA (shRNA) targeting a conserved site in mosquito sema1a genes. RESULTS: Experiments conducted on Aedes aegypti larvae demonstrated that the yeast larvicide effectively silences sema1a expression, generates severe neural defects, and induces high levels of larval mortality in laboratory, simulated-field, and semi-field experiments. The larvicide was also found to induce high levels of Aedes albopictus, Anopheles gambiae and Culex quinquefasciatus mortality. CONCLUSIONS: The results of these studies indicate that use of yeast interfering RNA larvicides targeting mosquito sema1a genes may represent a new biorational tool for mosquito control

Biology, damage potential and molecular identification of Conogethes punctiferalis Guenee in cocoa

Conogethes punctiferalis is an important polyphagous pest attacking many economically important crops. Recently, C. punctiferalis has been found to be an emerging pest in cocoa and was found to feed and bore into cocoa pods. The larvae feed on the rind of cocoa cherelles/pods, later bore into pods, feed the internal contents of the pods, the granular faecal pellets are seen outside the pods. When pods/cherelles touch each other, it is easy for the larvae to damage more than one pod/cherelle. Pods damaged by Conogethes are exposed to secondary infection by pathogens that lead to pod rot. The larvae sometimes feed on flower buds and flowers cushions. The damaged flower cushions may dry and shed prematurely. The damage of C. punctiferalis on cocoa is observed from December and peak incidence is noticed during March to May. On an average 2 per cent damage was recorded in the Central Plantation Crops Research Institute, Regional Station, Vittal. In order to develop a DNA-based molecular identification system for this species, primers were designed based on two nuclear genes viz., ribosomal protein S5 (RPS5) gene and carbamoyl phosphate synthetase/ aspartate transcarbamylase/dihydroorotase (CAD). PCR-amenable DNA was isolated from C. puntiferalis larva. The designed primers amplified single bands of expected sizes using genomic DNA as template. The amplicons were purified, cloned and sequenced and sequence analysis revealed close homology to the gene of interest from related moths

A Novel Skin Disease Detection Technique Using Machine Learning

Skin sicknesses present critical medical care difficulties around the world, requiring precise and opportune location for successful therapy. AI became promising stuff for computerizing the discovery and characterization of skin illnesses. This study presents a clever methodology that uses the choice tree strategy for skin sickness location. In computerized location, we utilize an exhaustive dataset containing different skin sickness pictures, including melanoma, psoriasis, dermatitis, and contagious diseases. Dermatologists skillfully mark the dataset, guaranteeing solid ground truth for precise grouping. Preprocessing strategies like resizing, standardization, and quality improvement are applied to set up the symbolism for the choice tree calculation. Then, we remove applicable elements from the preprocessed pictures, enveloping surface, variety, and shape descriptors to catch infection explicit examples successfully. The choice tree model is prepared utilizing these removed elements and the named dataset. Utilizing the choice tree's capacity to learn progressive designs and choice principles, our methodology accomplishes an elevated degree of exactness in grouping skin sicknesses. Extensive experiments and evaluations on a dedicated validation set demonstrate the effectiveness of our decision tree-based method, achieving a classification accuracy of 96%. Our proposed method provides a reliable and automated solution for skin disease detection, with potential applications in clinical settings. By enabling early and accurate diagnoses, our approach has the capacity to improve patient outcomes, trim down healthcare overheads, and alleviate the burden on dermatologists

Chaotic Sequence based Steganography for Pair-Wise Communication

Steganography is the art and science of hiding sensitive data inside an image. There are so many cryptosystems that use Steganography as a major tool. Also in recent years there is a rising trend towards chaotic sequence based cryptosystems. This paper attempts to combine the two with a new algorithm for data hiding. Here key images required for Steganography are generated using chaotic sequence. Also an attempt is made to overcome the limitations of Steganography on the file size ratio and the security offered by Steganography

Improved outcomes in the treatment of post-myocardial infarction ventricular septal defect with percutaneous TandemHeart left ventricular mechanical circulatory support

Background Post-myocardial infarction (MI) ventricular septal defect (VSD) is associated with 40% - 50% of peri-procedural mortalities; however, it is amenable to catheter-based therapies. We retrospectively investigated the impact of state-of-the-art bridging percutaneous left ventricular mechanical circulatory support (MCS) using the TandemHeart® (TH) ventricular assist device (VAD) on a patient with post-MI VSD. Results From July 2008 to March 2014, 23 patients were referred for treatment of post-MI VSD. Initially, 18/23 patients required MCS; 12 received an intra-aortic balloon pump (IABP), while 6 received initial TH support. Seven of the IABP patients later required TH support. Catheter-based device VSD closure was performed in 18 of the patients; however, three patients required conversion to conventional open cardiac surgical repair via VSD patch closure due to failure of the catheter-based approach. Five patients with TH underwent planned open cardiac surgical repair due to an anticipated lack of suitability for catheter-based treatment. Results revealed that delayed closure after MI correlated with improved survival. Overall, 30-day and 6-month survival rates were 83% (19/23) and 70% (16/23), respectively. Conclusions Further, Qp/Qs ratios of \u3c2.4 correlated with successful percutaneous VSD repair, and this assessment should be further explored as an assessment to inform clinical judgment in patients with post-MI VSD treatment