The proline content was also observed to enhance by the increasing levels of fly ash to soil. The yield parameters in terms of a number of flowers and fruits, fruits' length and diameter, and fresh and dry weight of fruits were also significantly increased in amended soil with 10-30% fly ash. On the other hand, the higher doses, i.e., 40% and 50% of fly ash showed a negative effect and reduced the growth, chlorophyll, carotenoid, biochemical content, proline, and yield in pumpkin crop. We concluded that the lower level of fly ash (up to 30%) could be used as fertilizer in agricultural fields for the improvement of vegetable as well as other food crops in a sustainable manner but the higher level of fly ash (40 and 50%) is toxic to the plant.Mitigating environmental pollution has become a global agenda keeping the sustainability of socioeconomic and environmental development into cognizance. Against this backdrop, this paper aims to evaluate the authenticity of the environmental Kuznets curve hypothesis in the context of Bangladesh; particularly controlling for different types of energy consumption including coal, natural gas, liquefied petroleum gas, refined petroleum oil, and hydropower. The results from the robust econometric analysis, accounting for multiple structural break concerns in the data, authenticate the validity of the environmental Kuznets curve hypothesis. Besides, the predicted economic growth thresholds are found to be higher than the current level which indicates that Bangladesh is still at a development phase where the nation is trading-off environmental deterioration for economic expansion. Moreover, the results also show that consumption of coal and refined petroleum oils increase emissions of carbon dioxide and aggregate greenhouse gases while higher consumption of natural gas, liquefied petroleum gas, and hydropower are seen to abate these emissions. Thus, in line with these findings, it can be asserted that both natural gas and liquefied petroleum gas can function as transitionary fuels to mitigate environmental pollution in Bangladesh before the nation can completely undergo renewable energy transition. Hence, these findings impose key policy takeaways concerning energy diversification and environmental sustainability in Bangladesh.Hippocampal sharp wave ripples (SPW-R) have been identified as key bio-markers of important brain functions such as memory consolidation and decision making. Understanding their underlying mechanisms in healthy and pathological brain function and behaviour rely on accurate SPW-R detection. In this multidisciplinary study, we propose a novel, self-improving artificial intelligence (AI) detection method in the form of deep Recurrent Neural Networks (RNN) with Long Short-Term memory (LSTM) layers that can learn features of SPW-R events from raw, labeled input data. The approach contrasts conventional routines that typically relies on hand-crafted, heuristic feature extraction and often laborious manual curation. The algorithm is trained using supervised learning on hand-curated data sets with SPW-R events obtained under controlled conditions. The input to the algorithm is the local field potential (LFP), the low-frequency part of extracellularly recorded electric potentials from the CA1 region of the hippocampus. Its output predictions can be interpreted as time-varying probabilities of SPW-R events for the duration of the inputs. A simple thresholding applied to the output probabilities is found to identify times of SPW-R events with high precision. The non-causal, or bidirectional variant of the proposed algorithm demonstrates consistently better accuracy compared to the causal, or unidirectional counterpart. Reference implementations of the algorithm, named 'RippleNet', are open source, freely available, and implemented using a common open-source framework for neural networks (tensorflow.keras) and can be easily incorporated into existing data analysis workflows for processing experimental data.
  Human demodecid mites including Demodex folliculorum and Demodex brevis Akbulatova can cause acne, rosacea, epifolliculitis, blepharitis, seborrheic dermatitis, perioral dermatitis, acromastitis and such skin healthproblems. Artemisia (Composiate) are widely distributed in temperate regions in the northern hemisphere. It has been reported that 17 species of plants in Artemisia used to be mugwort in China.  https://www.selleckchem.com/products/bay-3827.html  Mugwort volatile oil (MVO) has antibacterial and antiviral effects, can relieve cough and asthma, acts as an expectorant, choleretic and sedative, and promotes circulation and enhances immunity.
 
  This research was to observe the effect of MVO on two types of human demodecid mites in vitro.
 
  The MVO was obtained via the supercritical CO
  extraction method, and the human demodecid mites were acquired with cellophane tape. MVO had a distinct killing effect on two types of human demodecid mites, Demodex folliculorum and Demodex brevis. The body of the demodecid mites has a classical temporal process, which consists of excitement, contractions, death and transparency. The killing time was lengthened with decreasing concentration, thus showing an evident dependence on concentration.
 
  The experiment showed that 3.125% was the minimum effective concentration of MVO for killing D. brevis, and 6.25% was the minimum effective concentration for killing D. folliculorum; the killing effect of MVO on D. brevis was greater than on D. follilorum.
 
  This result suggests that mugwort, which acts as a traditional Chinese herbal medicine, has a noticeable killing effect on human demodecid mites.
 This result suggests that mugwort, which acts as a traditional Chinese herbal medicine, has a noticeable killing effect on human demodecid mites.To report various neurological syndromes, CSF findings, imaging and diagnostic methods used in neurobrucellosis patients admitted in our Neurology department over a period of 6 years. Case records of patients admitted to our department from August 2014 to May 2020 were searched for neurobrucellosis and data were obtained. A total of 19 patients were diagnosed as neurobrucellosis over a period of 6 years. Ten patients had chronic meningitis, five had VIII nerve involvement, one had optic neuritis, two had acute meningitis, one had subacute meningitis, four had myelopathy, five had polyradiculitis and two had spondylodiscitis. CSF was abnormal in 17 patients. Neutrophilic pleocytosis was seen in 12 patients who included nine patients with chronic symptomatology. Brain imaging was abnormal in three chronic meningitis patients. One had diffuse meningeal enhancement, another had hydrocephalus while the third patient had meningeal enhancement with basal exudates and contrast enhancement of bilateral VIII nerve. One of the patients of acute meningitis had hydrocephalus while the other one had bilateral T2/FLAIR hyperintensities with enhancement of meninges and leptomeningeal vessels.