The objective of current study was to determine the effect of fat supplement on physiological and reproductive performance of Holstein Friesian bulls during subtropical summer in Pakistan. Eighteen bulls were randomly divided into 3 treatment groups: (1) CTL, basal diet without fat supplementation; (2) FS100, basal diet with 100 g fat supplementation (Energizer-RP-10®, IFFCO, Johor, Malaysia); (3) FS200, basal diet with 200 g fat supplementation. Basal diet consisted of 50% green fodder (corn silage), 25% wheat straw, and 25% concentrate on dry matter basis. Diets were offered for 14 weeks from May to August 2016. The average daily temperature-humidity index ranged from 85 to 88 for the experimental period. The results indicated that there was no difference in dry matter intake, water intake, rectal temperature, pulse rate, and respiration rate among the treatment groups. Fat supplementation did not influence semen traits including sperm motility, progressive motility, amplitude of lateral head displacement, live-to-dead ratio, normal acrosomal ridge, plasma membrane integrity, and DNA integrity. The interaction of season with fat revealed that FA200 significantly increased post thaw semen motility and progressive motility during hot humid summer (P
Keyword extraction is essential in determining influenced keywords from huge documents as the research repositories are becoming massive in volume day by day. The research community is drowning in data and starving for information. The keywords are the words that describe the theme of the whole document in a precise way by consisting of just a few words. Furthermore, many state-of-the-art approaches are available for keyword extraction from a huge collection of documents and are classified into three types, the statistical approaches, machine learning, and graph-based methods. The machine learning approaches require a large training dataset that needs to be developed manually by domain experts, which sometimes is difficult to produce while determining influenced keywords. However, this research focused on enhancing state-of-the-art graph-based methods to extract keywords when the training dataset is unavailable. This research first converted the handcrafted dataset, collected from impact factor journals into n-grams combinations, ranging from unigram to pentagram and also enhanced traditional graph-based approaches. The experiment was conducted on a handcrafted dataset, and all methods were applied on it. Domain experts performed the user study to evaluate the results. The results were observed from every method and were evaluated with the user study using precision, recall and f-measure as evaluation matrices. The results showed that the proposed method (FNG-IE) performed well and scored near the machine learning approaches score.
Mixed matrix membranes (MMMs) of cellulose acetate/poly(vinylpyrrolidone) (CA/PVP) infused with acid functionalized multiwall carbon nanotubes (f-MWCNTs) were fabricated by an immersion phase separation technique for hemodialysis application. Membranes were characterized using FTIR, water uptake, contact angle, TGA, DMA and SEM analysis. The FTIR was used to confirm the bonding interaction between CA/PVP membrane matrix and f-MWCNTs. Upon addition of f-MWCNTs, TGA thermograms and glass transition temperature indicated improved thermal stability of MMMs. The surface morphological analysis demonstrated revealed uniform distribution of f-MWCNTs and asymmetric membrane structure. The water uptake and contact angle confirmed that hydrophilicity was increased after incorporation of f-MWCNTs. The membranes demonstrated enhancement in water permeate flux, bovine serum albumin (BSA) rejection with the infusion of f-MWCNTs; whereas BSA based anti-fouling analysis using flux recovery ratio test shown up to 8.4% improvement. The urea and creatinine clearance performance of MMMs were evaluated by dialysis experiment. It has been found that f-MWCNTs integrated membranes demonstrated the higher urea and creatinine clearance with increase of 12.6% and 10.5% in comparison to the neat CA/PVP membrane. Thus, the prepared CA/PVP membranes embedded with f-MWCNTs can be employed for wide range of dialysis applications.
Medicinal plants represent one of the most accessible resources available for snake and scorpion bite among the rural communities of Northern Pakistan. This first ethno-botanical study aimed to document the indigenous knowledge and practices of using plants for snake and scorpion bite disorders in Northern Pakistan.