A highly correlated topological index for polyacenes

The most used molecular graph descriptors in establishing Quantitative structure-property relationships (QSPRS) and Quantitative structure-activity relationships (QSARS) are topological indices. Molecular descriptors are normally chosen based on their ability to give good results in statistical models. In this paper we introduce a set of five new indices (Kekule indices) K, K1, K2, K3, K4 and we establish that the Kekule index (K) has excellent correlation (r = 0.99999997250969) with log p values in case of polyacenes

Digital Companion for Elders in Tracking Health and Intelligent Recommendation Support using Deep Learning

Ambient assisted living (AAL) facilitates the daily routines of elderly people, particularly those who have clinical difficulties or physical limitations. The latest technologies like distributed compuring,internet of things (IoT) and machine learning pave the ground for the creation of an effective automated tracker which aids elder citizens to live independently. The suggested system is attempted to design a wearable that monitors the blood glucose level through sweat. To achieve high accuracy, the proposed system uses ambient sensing and deep learning based techniques. It places a strong emphasis on calculating the health index by taking into account numerous disease-related characteristics or vitals such as heart rate, blood pressure, SpO2, blood glucose level, respiration rate, sweat rate, uric acid, and temperature. From the wearable device designed the vital signs are gathered, further environmental sensors and camera fixed around the person continually monitors the behavioral pattern along with physiological signals. This ensures the improved accuracy of health state prediction from its conventional models in place. The key advantage of this device is that it may be held and operated anyplace without interrupting their day-to-day tasks because the device is to be cheap, reliable and speedy

Familial hypercholesterolaemia in children and adolescents from 48 countries: a cross-sectional study

Background: Approximately 450 000 children are born with familial hypercholesterolaemia worldwide every year, yet only 2·1% of adults with familial hypercholesterolaemia were diagnosed before age 18 years via current diagnostic approaches, which are derived from observations in adults. We aimed to characterise children and adolescents with heterozygous familial hypercholesterolaemia (HeFH) and understand current approaches to the identification and management of familial hypercholesterolaemia to inform future public health strategies. Methods: For this cross-sectional study, we assessed children and adolescents younger than 18 years with a clinical or genetic diagnosis of HeFH at the time of entry into the Familial Hypercholesterolaemia Studies Collaboration (FHSC) registry between Oct 1, 2015, and Jan 31, 2021. Data in the registry were collected from 55 regional or national registries in 48 countries. Diagnoses relying on self-reported history of familial hypercholesterolaemia and suspected secondary hypercholesterolaemia were excluded from the registry; people with untreated LDL cholesterol (LDL-C) of at least 13·0 mmol/L were excluded from this study. Data were assessed overall and by WHO region, World Bank country income status, age, diagnostic criteria, and index-case status. The main outcome of this study was to assess current identification and management of children and adolescents with familial hypercholesterolaemia. Findings: Of 63 093 individuals in the FHSC registry, 11 848 (18·8%) were children or adolescents younger than 18 years with HeFH and were included in this study; 5756 (50·2%) of 11 476 included individuals were female and 5720 (49·8%) were male. Sex data were missing for 372 (3·1%) of 11 848 individuals. Median age at registry entry was 9·6 years (IQR 5·8-13·2). 10 099 (89·9%) of 11 235 included individuals had a final genetically confirmed diagnosis of familial hypercholesterolaemia and 1136 (10·1%) had a clinical diagnosis. Genetically confirmed diagnosis data or clinical diagnosis data were missing for 613 (5·2%) of 11 848 individuals. Genetic diagnosis was more common in children and adolescents from high-income countries (9427 [92·4%] of 10 202) than in children and adolescents from non-high-income countries (199 [48·0%] of 415). 3414 (31·6%) of 10 804 children or adolescents were index cases. Familial-hypercholesterolaemia-related physical signs, cardiovascular risk factors, and cardiovascular disease were uncommon, but were more common in non-high-income countries. 7557 (72·4%) of 10 428 included children or adolescents were not taking lipid-lowering medication (LLM) and had a median LDL-C of 5·00 mmol/L (IQR 4·05-6·08). Compared with genetic diagnosis, the use of unadapted clinical criteria intended for use in adults and reliant on more extreme phenotypes could result in 50-75% of children and adolescents with familial hypercholesterolaemia not being identified. Interpretation: Clinical characteristics observed in adults with familial hypercholesterolaemia are uncommon in children and adolescents with familial hypercholesterolaemia, hence detection in this age group relies on measurement of LDL-C and genetic confirmation. Where genetic testing is unavailable, increased availability and use of LDL-C measurements in the first few years of life could help reduce the current gap between prevalence and detection, enabling increased use of combination LLM to reach recommended LDL-C targets early in life

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Not AvailableSixty four genotypes were sown in two specially constructed structures at DOR to identify castor germplasm and breeding lines for better water use efficiency (WUE) and root traits. In each structure, 32 lines were sown in two replications with four plants per replication. Observations on various growth parameters, WUE traits, root characters and total dry matter (TDM) were recorded at the time of harvest (90 days after sowing). Among different root characters, root volume and root dry weight showed strong positive correlation (r > 0.80) compared to root length (r = 0.32) with TDM. Leaf area index (LAI) and stem girth also showed strong positive correlation of >0.80 with TDM. Among the 64 lines screened, thirteen lines showed root length >230 cm, root volume of >250 ml, root dry weight of >40g, LAI >3.0 and TDM >350g/plant. These lines include RG 1450, RG 1611, RG 1661, RG 1826, RG 2122, RG 2149, RG 2714, RG 2797, RG 2826, RG 2850, RG 3063, GCH 5 and 48-1.Not Availabl

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Not AvailableAn experiment was conducted for two years during 2005-07 using DCS-9 variety to see the effect of source manipulation on yield of different spike orders. Treatments consisted of four defoliation levels (25%, 50%, 75% and 100%) at primary, secondary and tertiary spike initiation stages along with control, with 3 replications in RBD. Primary seed yield reduced with defoliation at primary and secondary spike initiation stages. Secondary, tertiary and quarternary seed yield reduced with defoliation at secondary and tertiary spike initiation stages. Defoliation at primary, secondary and tertiary spike initiation stages resulted in 21, 33 and 26% yield reduction respectively.Not Availabl

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Not AvailableField investigation was carried out for 2 years during 2005-07 to determine yield loss to different levels of defoliation at different growth stages in castor (cv. DCS 9). Treatments consisted of four defoliation levels (25%, 50%, 75% and 100%) at primary, secondary and tertiary spike initiation stages along with control. The experiment was conducted in RBD with 3 replications. Per cent defoliation affected was not exactly at the prescribed levels, but nearer to them. Number of leaves removed at 25% defoliation ranged from 3 to 6, at 50% from 5 to 11, at 75% from 7 to 17 and at 100% from 10 to 25 at different stages of defoliation. The actual defoliation was 23-32% for 25% defoliation, 50-55% for 50%, 58-71% for 75% defoliation at different stages of defoliation. With increase in per cent defoliation, there was significant reduction in seed yield. The reduction in seed yield ranged from 10 to 20%, 20 to 23%, 24 to 36% and 26 to 55% with 25, 50, 75 and 100% defoliation respectively. On an average, defoliation at primary stage showed 21% yield reduction and at secondary stage showed 33% yield reduction. Tertiary stage defoliation showed 26% yield reduction. Defoliation at secondary spike initiation stage was found to be the most sensitive stage which reduced total seed yield. The practical information generated during the study could be utilized in designing the pest management strategies in castor.Not Availabl

Accurate estimation of biomass production and partitioning efficiency in castor (Ricinus communis L.)

Not AvailableThere is continuous leaf fall due to senescence from 35-60 days after sowing (DAS) till harvest depending on crop duration in castor which is not quantified in general for computation of total dry matter (TDM) and harvest index (HI). By calculating HI with the TDM at harvest of the plant which excludes senesced fallen leaf weight gives high HI values than actually are. In castor, major emphasis is on selecting genotypes with high partitioning efficiency which is shown by high HI. Hence, an experiment was conducted during 2013-15 for two years to devise suitable methodology for quantification of senesced fallen leaf fall while working out plant dry matter. Senesced fallen leaf was collected, quantified, factor for estimation of senesced leaf weight was developed using linear regression equation and model was validated. The equations derived for estimation of TDM and HI from senesced leaf include: TDM with senesced leaf weight = 1.217 * TDM without senesced leaf weight and HI with senesced leaf weight = 0.805* HI without senesced leaf weight. This factor can be used for accurate estimation of TDM at harvest and HI to enhance the quality of data for selection of genotypes with high partitioning efficiency.Not Availabl

Castor wilt

The technical bulletin on "castor wilt" contains information on distribution, economic importance, symptoms, variability of pathogen, nematode –fungus interaction, disease cycle, screening of castor germ plasm for identification of resistant sources and management of wilt disease.Not AvailableDirectorate of Oilseeds Research, Hyderaba