Seasonal changes in carbohydrate and mineral composition of overvigorous and devitalized Anab-e-Shahi grapevines in relation to uniruitiulness

Total carbohydrates in shoots, canes and old wood were higher in fruitful vines than in overvigorous or devitalized ones. The highest percentage of total carbohydrates was observed from December to February in all three types of vines. The minimum values for total carbohydrates in shoots of bearing vines were recorded in May. Total sugars were highest in bearing vines, followed by overvigorous and devitalized ones, respectively. Non-bearing (overvigorous and devitalized) vines had maximum sugar content in February, while bearing vines reached the maximum in January. Non-reducing sugars were practically absent in all vines from March to September. The first evidence of their presence was obtained in October.Nitrogen concentration was higher in overvigorous vines, followed by bearing and devitalized ones, respectively. Its level in devitalized vines was very low throughout the year. Also the nttrogen status of devitalized vineyard was very low, as observed in soil analysis. In bearing and overvigorous vines the percentage nitrogen was higher in shoots than in old wood. There was no significant difference in the phosphorus levels of bearing and overvigorous vines. Potassium level of overvigorous vines was slightly higher than that of bearing and devitalized vines.Overvigorous vines had low carbohydrates and very high ni,trogen, bearing vines had moderate carbohydrates and moderate nitrogen, while the devitalized vines had low carbohydrates and very low nitrogen level.Die jahreszeitlichen Veränderungen der Kohlenhydrat- und Mineralstoffzusammensetzung bei luxurierenden und kümmernden Anab-e-Shahi-Reben in Beziehung zu ihrer UnfruchtbarkeitDer Gesamtkohlenhydratgehalt in grünen Trieben, Tragruten und altem Holz war bei fruchttragenden Anab-e-Shahi-Reben größer als bei luxurierenden oder kümmernden Reben. Die höchste Konzentration der Gesamtkohlenhydrate wurde bei allen drei Rebtypen von Dezember bis Februar beobachtet; in den Trieben der traubentragenden Reben wurden im Mai die niedrigsten Werte festgestellt. Die Gesamtzuckerkonzentration nahm in der Reihenfolge fruchttragende, luxurierende, kümmernde Reben ab. Bei nicht-traubentragenden (luxurierenden und kümmernden) Reben war der Zuckergehalt im Februar am größten; traubentragende Reben erreichten ihr Zuckermaximum schon im Januar. Nichtreduzierende Zucker fehlten bei allen Reben von März bis September praktisch vollständig und waren erst von Oktober an nachzuweisen.Luxurierende Reben zeigten einen höheren Stickstoffgehalt als traubentragende und kümmernde Reben. Die letzteren wiesen das ganze Jahr über sehr niedrige Stickstoffkonzentrationen auf. Bodenanalysen ergaben, daß auch ihre Parzelle sehr schwach mit Stickstoff versorgt war. Bei fruchttragenden und luxurierenden Reben enthielten die grünen Triebe prozentual mehr Stickstoff als das alte Holz. Zwischen eiern Phosphorgehalt normaler und luxurierender Reben bestand kein signifikanter Unterschied. Bei den luxurierenden Reben war der Kaliumgehalt etwas höher als bei den traubentragenden und kümmernden Reben.Luxurierende Reben besaßen wenig Kohlenhydrate und sehr viel Stickstoff, traubentragende Reben wiesen mittlere Kohlenhydrat- und Stickstoffkonzentrationen auf, während die kümmernden Reben einen niedrigen Kohlenhydrat- und einen sehr geringen Stickstoffgehalt zeigten

Anomalous Thermoelectric power of over-doped Bi2Sr2CaCu2O8 superconductor

Temperature dependence of thermoelectric power S(T) of three differently processed Bi2Sr2CaCu2O8 (Bi2212) samples, viz. as-processed melt quenched (Bi2212-MQ), 6000C N2-annealed (Bi2212-N2) and 6000C O2-annealed (Bi2212-O2) is reported here. All the samples possess single-phase character and their superconducting transition temperatures (TcR=0) are 85 K, 90 K and 72 K respectively for Bi2212-MQ, Bi2212-N2 and Bi2212-O2. While Bi2212-MQ and Bi2212-N2 samples are in near optimum doping regime, Bi2212-O2 is an over-doped sample. TcS=0 values obtained through S(T) data are also in line with those deduced from the temperature dependence of resistance and DC magnetization. Interestingly, S(T) behaviour of the optimally-doped Bi2212-MQ and Bi2212-N2 samples is seen to be positive in whole temperature range, it is found negative for the over-doped Bi2212-O2 sample above TcS=0. These results have been seen in the light of the recent band structure calculations and the ensuing split Fermi surface as determined by angle-resolved photoelectron spectroscopy (ARPES).Comment: 11 Pages Text + Figs: comments welcome ([email protected]

Defeating the Credit Card Scams Through Machine Learning Algorithms

Credit card fraud is a significant problem that is not going to go away. It is a growing problem and surged during the Covid-19 pandemic since more transactions are done without cash in hand now. Credit card frauds are complicated to distinguish as the characteristics of legitimate and fraudulent transactions are very similar. The performance evaluation of various Machine Learning (ML)-based credit card fraud recognition schemes are significantly pretentious due to data processing, including collecting variables and corresponding ML mechanism being used. One possible way to counter this problem is to apply ML algorithms such as Support Vector Machine (SVM), K nearest neighbor (KNN), Naive Bayes, and logistic regression. This research work aims to compare the ML as mentioned earlier models and its impact on credit card scam detection, especially in situations with imbalanced datasets. Moreover, we have proposed state of the art data balancing algorithm to solve data unbalancing problems in such situations. Our experiments show that the logistic regression has an accuracy of 99.91%, and naive bays have an accuracy of 97.65%. K nearest neighbor has an accuracy is 99.92%, support vector machine has an accuracy of 99.95%. The precision and accuracy comparison of our proposed approach shows that our model is state of the art

Analysis of MAGSAT data of the Indian region

Progress in the development of software for reading MAGSAT data tapes and for the reduction of anomaly data, and in the preparation of data for magnetic anomaly maps is reported

Of mice and mates:Automated classification and modelling of mouse behaviour in groups using a single model across cages

Behavioural experiments often happen in specialised arenas, but this may confound the analysis. To address this issue, we provide tools to study mice in the home-cage environment, equipping biologists with the possibility to capture the temporal aspect of the individual’s behaviour and model the interaction and interdependence between cage-mates with minimal human intervention. Our main contribution is the novel Global Behaviour Model (GBM) which summarises the joint behaviour of groups of mice across cages, using a permutation matrix to match the mouse identities in each cage to the model. In support of the above, we also (a) developed the Activity Labelling Module (ALM) to automatically classify mouse behaviour from video, and (b) released two datasets, ABODe for training behaviour classifiers and IMADGE for modelling behaviour

Synthesis and Characterization of Fluorene Based Organic Dyes and its Application in Dye Sensitized Solar Cells

Synthesis of novel metal-free fluorene and imidazole pyridine spacer based organic dye with –CN (cyano), -C=O (carboxyl), -NO2 (nitro) as acceptors (anchoring group) and diphenylamine as electron donor part for dye-sensitized solar cells. Time dependent density functional theory (TDDFT) theoretical investigation was carried out to explain the characteristic feature of the dye, photophysical property (UV-Vis absorption) and electrochemical property (Cyclic Voltammetry) was done as an evidence to check the influence of electron donor, electron acceptor part on dye and these calculation shows that these dyes could prove to be efficient in solar cell

L 552 : A new bold seeded variety of kabuli gram

Chickpea (Cicer arietinum L.) is an important pulse crop grown during rabi season in Punjab state. Major objective in breeding of kabuli gram is development of high yielding and bold seeded varieties as they fetch higher price in the market. The efforts lead to the development of a new variety of kabuli gram L 552 from the cross GLK 95091 x PBG 68 through pedigree method of selection. This new variety has been recommended during 2011 for general cultivation in irrigated areas of Punjab state except submountainous regions

‘I don't think I can catch it’: women, confidence and responsibility in football coach education

Whilst women’s participation in sport continues to increase, their presence remains ideologically challenging given the significance of sport for the construction of gendered identities. As a hegmonically masculine institution, leadership roles across sport remain male-dominated and the entry of women into positions of authority (such as coaching) routinely contested. But in powerful male-typed sports, like football, women’s participation remains particularly challenging. Consequently, constructions of gender inequity in coaching were explored at a regional division of the English Football Association through unstructured interviews and coaching course observation. Using critical discourse analysis we identified the consistent re/production of women as unconfident in their own skills and abilities, and the framing of women themselves as responsible for the gendered inequities in football coaching. Women were thereby strategically positioned as deservedly on the periphery of the football category,whilst the organization was positioned as progressive and liberal