Sex hormones alter the effect of aspirin on bleeding

Background: Interaction of aspirin and sex hormones was investigated through bleeding time.Methods: Bleeding time in 32 males and 105 unmarried females with previous 6 normal menstrual cycles and all aged between 18 to 21 years was found by Duke’s method before and after 2 hours of aspirin administration. Phase of menstrual cycle of each female was determined by present menstrual history.Results: Bleeding time in 32 male was 69.33± 4.94 seconds and in 105 female was 73.03±1.89 seconds which were not statistically different (P>0.05).This time was increased to 107.66±4.76 seconds in males and 113.65±3.73 seconds in females after aspirin administration which were statistically different (P0.05) difference after aspirin administration with a greater effect in Follicular phase probably due to estradiol.Conclusion: Males respond to aspirin more as compared to females which is likely the effect of the drug and testosterone interaction. Similarly females in the follicular phase respond to aspirin more as compared to females in the luteal phase which may be a result of interaction of estrogen and aspirin

Clinical Applications for Diffusion MRI and Tractography of Cranial Nerves Within the Posterior Fossa: A Systematic Review

Objective: This paper presents a systematic review of diffusion MRI (dMRI) and tractography of cranial nerves within the posterior fossa. We assess the effectiveness of the diffusion imaging methods used and examine their clinical applications.Methods: The Pubmed, Web of Science and EMBASE databases were searched from January 1st 1997 to December 11th 2017 to identify relevant publications. Any study reporting the use of diffusion imaging and/or tractography in patients with confirmed cranial nerve pathology was eligible for selection. Study quality was assessed using the Methodological Index for Non-Randomized Studies (MINORS) tool.Results: We included 41 studies comprising 16 studies of patients with trigeminal neuralgia (TN), 22 studies of patients with a posterior fossa tumor and three studies of patients with other pathologies. Most acquisition protocols used single-shot echo planar imaging (88%) with a single b-value of 1,000 s/mm2 (78%) but there was significant variation in the number of gradient directions, in-plane resolution, and slice thickness between studies. dMRI of the trigeminal nerve generated interpretable data in all cases. Analysis of diffusivity measurements found significantly lower fractional anisotropy (FA) values within the root entry zone of nerves affected by TN and FA values were significantly lower in patients with multiple sclerosis. Diffusivity values within the trigeminal nerve correlate with the effectiveness of surgical treatment and there is some evidence that pre-operative measurements may be predictive of treatment outcome. Fiber tractography was performed in 30 studies (73%). Most studies evaluating fiber tractography involved patients with a vestibular schwannoma (82%) and focused on generating tractography of the facial nerve to assist with surgical planning. Deterministic tractography using diffusion tensor imaging was performed in 93% of cases but the reported success rate and accuracy of generating fiber tracts from the acquired diffusion data varied considerably.Conclusions: dMRI has the potential to inform our understanding of the microstructural changes that occur within the cranial nerves in various pathologies. Cranial nerve tractography is a promising technique but new avenues of using dMRI should be explored to optimize and improve its reliability

A survey on sentiment analysis in Urdu: A resource-poor language

© 2020 Background/introduction: The dawn of the internet opened the doors to the easy and widespread sharing of information on subject matters such as products, services, events and political opinions. While the volume of studies conducted on sentiment analysis is rapidly expanding, these studies mostly address English language concerns. The primary goal of this study is to present state-of-art survey for identifying the progress and shortcomings saddling Urdu sentiment analysis and propose rectifications. Methods: We described the advancements made thus far in this area by categorising the studies along three dimensions, namely: text pre-processing lexical resources and sentiment classification. These pre-processing operations include word segmentation, text cleaning, spell checking and part-of-speech tagging. An evaluation of sophisticated lexical resources including corpuses and lexicons was carried out, and investigations were conducted on sentiment analysis constructs such as opinion words, modifiers, negations. Results and conclusions: Performance is reported for each of the reviewed study. Based on experimental results and proposals forwarded through this paper provides the groundwork for further studies on Urdu sentiment analysis

Livestock in Pakistan: An Insight into Climate Changes and Impacts

The global livestock sector is expanding at a faster rate than any other agricultural sub-sector. It employs approximately 1.3 billion people and accounts for approximately 40 % of global agricultural output. This industry is one of the most damaging sectors to the world\u27s increasingly scarce water resources, contributing to water pollution from animal wastes, hormones, antibiotics, chemicals from tanneries, pesticides, and fertilizers used to spray feed crop. Climate change harms livestock productivity by changing ecosystem services i.e. water availability, forage quality and quantity, diseases outbreak, and animals stress due to heat shock and reduction of livestock diversity and breeds. Ecosystem and animal health are under the direct influence of climate change. The prevalence and dispersal of animal illnesses and pathogens are presently on the rise due to climate change. Climate change may have a significant impact on farm animal production performance around the world. Heat stress appears to be one of the intriguing environmental variables affecting animals, making animal production challenging in many geographical locations around the world. Intake of feed can decrease at high temperatures while energy demands increase due to the activation of thermoregulation mechanisms, which harms productivity, growth, and development. This is because thermoregulation mechanisms are activated when temperatures are high. The rate at which animals digest their food is impacted, subjected to heat stress, in addition to their rate of growth and development. The animal\u27s heart rate, rectal temperature, and respiratory rate can all be increased during expose to environments with high temperatures

Gas exchange and morpho-physiological response of soybean to straw mulching under drought conditions

A pot experiment was conducted to investigate the morphological, physiological and biochemical straw mulch-induced response of soybean under water-deficit conditions. Soybean (Glycine max L. Merrill) variety “Xidou 7” was treated with varying quantity of wheat straw mulch viz: (control (no straw mulch), 3750, 7500, 11000 and 14750 kg/ha) under water-deficit conditions. The experimental results indicate that the varying quantity of straw mulch significantly improved the plant growth in terms of plant height, leaf area, number of leaves/plant and stem diameter. Mulch treatment also significantly enhanced the photosynthesis (PN), intercellular CO2 concentration (Ci), transpiration rate (E) and stomatal conductance (gs) over the control. The gas exchange parameters were improved depending on the quantity of wheat straw mulch; significantly highPN and E was observed in the treatment where wheat straw was applied at the rate of 11000 kg/ha. Wheat straw mulch treatments led to noticeable reduction in malondialdehyde (MDA) contents, which protected the drought stressed soybean plants from membrane damage. Furthermore, the free proline contents linearly increased with increase in straw mulch quantity. It is evident that wheat straw mulch can considerably modulate growth, photosynthetic and physio-biochemical attributes of soybean under drought. The research will effectively solve seasonal drought problem and can provide technical assistance for sustainable agriculture development.Keywords: Soybean, growth, water-deficit, wheat straw mulchAfrican Journal of Biotechnology Vol. 12(18), pp. 2360-236

Protective role of glycinebetaine in maize against drought-induced lipid peroxidation by enhancing capacity of antioxidative system

Abstract A pot-culture study was performed to investigate the efficacy of glycinebetaine (GB) for drought tolerance in two contrasting maize cultivars. Progressive drought stress noticeably reduced the relative leaf water content (RLWC) but increased protein and proline concentrations in both cultivars. The reduction in RLWC in DD-60 was lower than ND-95, whereas, the accumulation of protein and proline was substantially higher in DD-60 over ND-95 during experimental period. Nonetheless, GB-treatment led to increase in RLWC, protein and proline accumulation in DD-60 than ND-95. Prolonged drought stress induced the membrane lipid peroxidation, which was more severe in ND-95 than DD-60. GB-treatment substantially ameliorated the lipid peroxidation in DD-60 over ND-95 under drought stress. The activity of superoxide dismutase (SOD), peroxidase (POD) and catalase (CAT) were substantially enhanced in DD-60 than ND-95 with the prolongation of drought stress at beginning and then declined subsequently. These results possibly suggest that the DD-60 showed a better protection mechanism against water-induced lipid peroxidation by maintaining higher constitutive activities of antioxidant enzymes than ND-95. Nevertheless, GB-treated plants maintained higher antioxidant enzymes activity during drought stress than non-GB treated plants, which ultimately enhanced the growth, yield and yield components. The foliar application of glycinebetaine only considered advantageous when applied under drought and exhibit pronounced effects when applied at flowering. Drought tolerance can be improved in maize by the foliar GB-treatment through enhancing the antioxidants capacity

The Green Synthesis of Silver Nanoparticles from Avena fatua Extract: Antifungal Activity against Fusarium oxysporum f.sp. lycopersici

Using plant extracts as eco-friendly reducing and stabilizing agents for the synthesis of nanoparticles has gained significant attention in recent years. The current study explores the green synthesis of silver nanoparticles (AgNPs) using the Avena fatua extract and evaluates their antifungal activity against Fusarium oxysporum f.sp. lycopersici (Fol), a fungal plant pathogen. A green and sustainable approach was adopted to synthesize silver nanoparticles before these nanoparticles were employed for anti-fungal activity. The primary indication that AgNPs had formed was performed using UV-vis spectroscopy, where a strong peak at 425 nm indicated the effective formation of these nanoparticles. The indication of important functional groups acting as reducing and stabilizing agents was conducted using the FTIR study. Additionally, morphological studies were executed via SEM and AFM, which assisted with more effectively analyzing AgNPs. Crystalline behavior and size were estimated using powder XRD, and it was found that AgNPs were highly crystalline, and their size ranged from 5 to 25 nm. Synthesized AgNPs exhibited significant antifungal activity against Fol at a concentration of 40 ppm. Furthermore, the inhibitory index confirmed a positive correlation between increasing AgNPs concentration and exposure duration. This study suggests that the combined phytochemical mycotoxic effect of the plant extract and the smaller size of synthesized AgNPs were responsible for the highest penetrating power to inhibit Fol growth. Moreover, this study highlights the potential of using plant extracts as reducing and capping agents for the green synthesis of AgNPs with antifungal properties. The study concludes that A. fatua extract can synthesize antifungal AgNPs as a sustainable approach with robust antifungal efficacy against Fol, underscoring their promising potential for integration into plant protection strategies

TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency

Accurate segmentation of brain tumors from medical images is important for diagnosis and treatment planning, and it often requires multi-modal or contrast-enhanced images. However, in practice some modalities of a patient may be absent. Synthesizing the missing modality has a potential for filling this gap and achieving high segmentation performance. Existing methods often treat the synthesis and segmentation tasks separately or consider them jointly but without effective regularization of the complex joint model, leading to limited performance. We propose a novel brain Tumor Image Synthesis and Segmentation network (TISS-Net) that obtains the synthesized target modality and segmentation of brain tumors end-to-end with high performance. First, we propose a dual-task-regularized generator that simultaneously obtains a synthesized target modality and a coarse segmentation, which leverages a tumor-aware synthesis loss with perceptibility regularization to minimize the high-level semantic domain gap between synthesized and real target modalities. Based on the synthesized image and the coarse segmentation, we further propose a dual-task segmentor that predicts a refined segmentation and error in the coarse segmentation simultaneously, where a consistency between these two predictions is introduced for regularization. Our TISS-Net was validated with two applications: synthesizing FLAIR images for whole glioma segmentation, and synthesizing contrast-enhanced T1 images for Vestibular Schwannoma segmentation. Experimental results showed that our TISS-Net largely improved the segmentation accuracy compared with direct segmentation from the available modalities, and it outperformed state-of-the-art image synthesis-based segmentation methods

Cochlear implant outcomes in patients with Meniere's disease: a large case series

OBJECTIVE: To perform a matched cohort study to assess whether patients with Meniere's Disease (MD) require more intensive auditory rehabilitation following cochlear implantation (CI) and identify factors that may affect outcomes in patients with MD. METHODS: A retrospective case review was performed. MD and control patients were matched for age, biological sex, implant manufacturer and electrode design. Outcomes measured were speech scores, number of visits to audiology department following switch-on, and post-operative active MD. RESULTS: Forty consecutive implanted MD patients were identified between May 1993 and May 2019. Patients with active MD following CI required significantly more visits to the audiology department compared to controls (P < 0.01) and patients who had inactive MD post-operatively (P < 0.01). However, in MD patients, active MD was less likely following CI (P = 0.03). In patients who continued to experience active MD post-operatively, further medical and surgical ablative intervention was required to control ongoing Meniere's attacks. CONCLUSION: We present the largest case series of performance outcomes in CI patients with MD. Although speech outcomes in MD patients are comparable to controls, patients with active MD pre-operatively are more likely to experience variation in CI performance requiring a prolonged period of auditory rehabilitation compared to inactive preoperative MD