Coronary anomalies and anatomical variants detected by coronary computed tomographic angiography in Kashmir, India

Background: Coronary Artery Anomalies (CAAs) presenting in adulthood are rare and associated with adverse cardiac events, including sudden cardiac death. Coronary artery anomaly is the second most common cause of Sudden Cardiac Death (SCD) in young athletes. Cardiac Computed Tomographic Angiography (CTA) is a readily available non-invasive imaging modality that provides high-resolution anatomical information of the coronary arteries. Multi-detector row CT is superior to conventional angiography in defining the ostial origin and proximal path of anomalous coronary branches.Methods: This was a prospective study included 186 patients who underwent coronary CTA from December 2018 to November 2019 in Government medical College, Srinagar on a 256 slice CT. The indications for coronary CTA were an equivocal, or non-diagnostic stress test, atypical chest pain, suspected anomalous coronary, as well as the evaluation of cardiac cause of syncope.Results: Ramus intermedius was the most common anatomical variant seen in 25 patients (13.4%). The prevalence of coronary anomalies in this study was 5.66% including myocarding bridging. The most common anomaly was high take off of coronary artery from sinotubular junction accounting for 1.6%.Conclusions: Coronary Computed Tomographic angiography is much superior in detecting coronary artery anomalies than invasive coronary angiography because of the absence of soft tissue information like as is needed in myocardial bridging. Proper knowledge of the anomalies and their clinical significance is highly important in planning treatment and easing hardships of cardiologists in dealing with them

Cytogenetic abnormalities in myelodysplastic syndromes: An overview

Karyotype is one of the main constituents of the International Prognostic Scoring System (IPSS) and revised-IPSS that are the cornerstones for the prognostication of patients with myelodysplastic syndromes (MDS). Del(5q), -7/del(7q), +8 and -Y are among the most extensively studied cytogenetic abnormalities in MDS. The same applies for normal karyotype. There are hundreds of other rare cytogenetic abnormalities that have been reported in MDS, included but not limited to -X, 3q abnormalities, +13/del(13q), i(17q), +21/-21. However, due to a very low number of patients, their impact on the prognosis of MDS is limited. Knowledge of the molecular consequences of different cytogenetic abnormalities allows us to modify treatment regimens based on drugs most active against the specific karyotype present, allowing for the opportunity to individualize MDS treatment and improve patient care and prognosis

Yield performance with heritability measurements of half sib families obtained from maize variety Azam

This study evaluated the performance of 64 half sib families (HSF) derived from “Azam” variety of maize using partially balanced lattice square design with two replications. Data were recorded on grain yield and other agronomic traits. Observations showed difference in half-sib families for studied traits. Among the 64 half-sib families, minimum days to 50% tasseling (51 days) were observed for HS-49 while maximum (57 days) for HS-63. Minimum days to 50% silking (56 days) were counted for HS-6 while maximum (63 days) for HS-23. Minimum days to 50% anthesis (55 days) were counted for HS-1 and HS-6 while maximum (62 days) for HS-23. Similarly, minimum ASI (-2 days) were observed in HS-1, HS-15, HS-16, HS-28 and HS-63 while maximum (2 days) in HS-48. Minimum (60 cm) ear height was recorded for HS-11 and maximum (93.5 cm) for HS-28. Minimum fresh ear weight (1.3 kg) was weighted for HS-17 while maximum (3.2 kg) for HS-21. Grain moisture was recorded minimum (19.35 %) for HS-19 and maximum (31.25%) for HS-2. HS-42 showed minimum (28 g) 100 kernel weight while HS-5 showed maximum (47 g). Grain yield was minimum (2323 kg ha-1) for HS-17 and maximum (5742 kg ha-1) for HS-21. Maximum heritability estimate (0.92) was recorded for fresh ear weight, while minimum (0.41) was observed for ear height

Exploring the better genetic options from indigenous material to cultivate tomato under high temperature regime

Screening test was conducted on 54genotypes of tomato to analyze the effect of heat stress and categorize them as heat tolerant or heat susceptible ones. Seedlings were grown at temperatures of 28/22oC day/night. Four weeks after sowing, plants were exposed to high temperatures of 40/32oC day/night for one week. Data for various morphological (root and shoot length, root and shoot fresh and dry weight, number of leaves) and physiological parameters (chlorophyll contents, sub-stomatal CO2, transpiration rate, stomatal conductance, photosynthetic rate, water use efficiency and leaf temperature) were recorded. Heat stress had a negative effect on all physiological and morphological processes of the genotypes. However, “Parter Improved”, “Legend” and “Roma” were the most tolerant genotypes whereas “Grus Chovka”, “Nepoli”, “Tima France”, “Kaldera” and “Cold Set” were susceptible to heat stress

Effect of Phosphorus Fertilizer and Seed Rates on Growth and Yield of Common Bean (Phaseolus Vulgaris L) in Kunduz, Afghanistan

A field experiment was conducted on the Effect of phosphorus fertilizer and seed rates on the growth and yield of common bean (Phaseolus vulgaris L) at the Farm of the agriculture faculty of Kunduz University during the spring season of 2023 to determine the optimum rates of phosphorus fertilizer and seed rates for maximum yield of common bean in the northeast of Afghanistan (Kunduz province). The treatment consists of three phosphorus levels (0kgP2O5ha-1, 40kgP2O5ha-1 and 80kgP2O5ha-1) and four combined seed rates (125 kgha-1, 150 kgha-1, 175 kgha-1 and 200 kg ha-1) laid out in randomized complete block design (RCBD) with three replications. The results revealed that phosphorus levels and different seed rates significantly affected on growth,  yield attributes and yield of common bean on plant height, Leaf area/plant (cm2), Brunches/plant, Root dry weight/plant(g),  Nodules/pant, No. of notes/plant, Pods/plant, Seeds/pod, 100 seed weight, seed yield/plant(g) and Grain Yield t/ha, the highest plant height (44.10cm), Leaf area/plant (217.18cm2), Brunches/plant(11.75), Root dry weight/plant (2.282g),  Nodules/pant (12.16),  Leaves/plant (47.833), No. of notes/plant (7.88), Pods/plant (16.98), Seeds/pod (6.97), 100 seed weight(34.536), seed yield/plant(8.83g) and Grain Yield (2.20t/ha) was in treatments 80kgP2O5ha-1 respectively. Seed rates were also significantly affected in treatment 200 kg ha-1 except for harvest index; all other yield attributes and yield was significant; the highest yield attributes and yield was in seed rate 200 kg ha-1. Thus 80kgP2O5ha-1with 200 kg ha-1 was found to be the best combination under northeast of Afghanistan agro-ecology as it gave higher values for yield and most yield related traits

Car-following crash risk analysis in a connected environment: a Bayesian non-stationary generalised extreme value model

A connected environment provides driving aids to assist drivers in decision-making and aims to make driving manoeuvres safer by minimising uncertainty associated with decisions. The role of a connected environment becomes vital for car-following manoeuvres in a safety–critical event, whereby drivers follow a lead vehicle, and if timely action is not taken, it is likely to lead to a rear-end collision. Moreover, how different drivers perceive and react to the same information needs to be explored to understand the differential effects of a connected environment on car-following behaviour. As such, this study investigated the effects of the traditional and connected environments on car-following crash risk using traffic conflict techniques. Data were collected using the CARRS-Q advanced driving simulator, whereby 78 participants performed a car-following task in two randomised driving conditions: baseline (without driving aids) and connected environment (with driving aids). The safety–critical event in the car-following scenario was the leader's hard braking, for which participants received advance information, besides several other driving aids. Modified time-to-collision was used as the traffic conflict measure for characterising rear-end crash risk and modelled using a generalised extreme value (GEV) model in the Bayesian framework. This model incorporated driving-related factors and driver demographics to address the non-stationarity issue of traffic extremes. Results reveal that the car-following crash risk is significantly reduced in the connected environment. Further, using the developed model, separate GEV distributions were estimated for each individual driver, providing insights into the heterogeneous effects of the connected environment on crash risk. The developed model was employed to understand the crash risk across different driver characteristics, and results suggest that crash risk decreases for all age groups and gender, with the maximum safety benefits obtained by young and female drivers. The findings of this study shed light on the efficacy of the connected environment in improving car-following behaviour and drivers’ ability to make safer decisions