A Survey on Performance Improvement of Data Analysis Using Unsupervised K-Means Clustering

The algorithms clustering implemented on the machines and made intelligent machines are called unsupervised machine learning algorithms. They can perform essential tasks by k-means clustering algorithm based on improved quantum particle swarm optimization algorithm is often more error in data analysis. As more data becomes available, more complex problems can be tackled and solved. The analysis of patient's data is becoming more critical to evaluate the patient's medical condition and prevent and take precautions for the future. With the help of technology and computerized automation of machines, data can be analyzed more efficiently. Managing the massive volume of data has many problems interrelated to data security. Experiments on actual datasets show that our technique will get similar results with standard ways with fewer computation tasks. Process mining and data mining techniques have opened new access for the diagnosis of disease. Similarly, data mining can provide effective treatment for a disease's triennial prevention; finally, an effective clustering result is obtained. The algorithm is tested with the UCI data set. The results show that the improved algorithm ensures the global convergence of the algorithm and brings more accurate clustering results

A Case Series on Lodra Vata Kashaya Yoni Praskhalana in Shweta Pradara w.s.r. to vaginal infections due to Staphylococcus aures

The female reproductive tract harbours distinct microbial communities, in the vagina, cervical canal, uterus, and fallopian tubes. The mucosal immune system in the reproductive tract has evolved to meet the unique requirements of dealing with various pathogens. This prevents reproductive tract from various infections. Menstruation, Sexual act, Abortion, unhygienic condition, etc hampers the immunity ultimately leading to infections. Abnormal white discharge per vagina is one of features of infection. Abnormal vaginal discharges can be co-related to Shweta Pradara. Shweta Pradara is not a disease but mentioned as symptom in various Yoni Vyapada and other gynaecological diseases. In Astanga Samgraha, Lodra Vata Kshaya Yoni Prakshalana is indicated. Lodra and Vata both have Kapha Pitta Shamaka properties. An attempt was made to manage Shweta Pradara by Ayurvedic treatment. This study includes 8 female patients having symptoms of Shweta Pradara. These patients came with complaints of vaginal discharge, itching in vaginal area, backache etc., and showed the presence of Staphylococcus aures in vaginal swab. These patients were subjected to Lodra Vata Kashaya Yoni Prakshalana. The whole treatment was done for 7 days and marked improvement was achieved in all the patients. In conclusion, the potential role of Lodra Vata Kashaya was seen in controlling genital infections with Staphylococcus aures

Novel glioblastoma markers with diagnostic and prognostic value identified through transcriptome analysis

Purpose: Current methods of classification of astrocytoma based on histopathologic methods are often subjective and less accurate. Although patients with glioblastoma have grave prognosis, significant variability in patient outcome is observed. Therefore, the aim of this study was to identify glioblastoma diagnostic and prognostic markers through microarray analysis. Experimental Design: We carried out transcriptome analysis of 25 diffusely infiltrating astrocytoma samples [WHO grade II - diffuse astrocytoma, grade III - anaplastic astrocytoma, and grade IV - glioblastoma (GBM)] using cDNA microarrays containing 18,981 genes. Several of the markers identified were also validated by real-time reverse transcription quantitative PCR and immunohistochemical analysis on an independent set of tumor samples (n = 100). Survival analysis was carried out for two markers on another independent set of retrospective cases (n = 51). Results: We identified several differentially regulated grade-specific genes. Independent validation by real-time reverse transcription quantitative PCR analysis found growth arrest and DNA-damage-inducible α (GADD45α) and follistatin-like 1 (FSTL1) to be up-regulated in most GBMs (both primary and secondary), whereas superoxide dismutase 2 and adipocyte enhancer binding protein 1 were up-regulated in the majority of primary GBM. Further, identification of the grade-specific expression of GADD45α and FSTL1 by immunohistochemical staining reinforced our findings. Analysis of retrospective GBM cases with known survival data revealed that cytoplasmic overexpression of GADD45α conferred better survival while the coexpression of FSTL1 with p53 was associated with poor survival. Conclusions: Our study reveals that GADD45α and FSTLI are GBM-specific whereas superoxide dismutase 2 and adipocyte enhancer binding protein 1 are primary GBM-specific diagnostic markers. Whereas GADD45α overexpression confers a favorable prognosis, FSTL1 overexpression is a hallmark of poor prognosis in GBM patients

Assessing antecedents of individual readiness to adopt knowledge management in higher educational institutions

AbstractHigher education institutions (HEIs) are profoundly vested in knowledge-based endeavors. It emphasizes creating a knowledge-based atmosphere and recognizing knowledge as an intellectual capital. The purpose of this paper is to investigate the role of factors such as top management support, the perceived degree of collegiality, and organizational culture (OC) in fostering trust among members of HEIs and enabling individual readiness for knowledge management (KM). The faculty members affiliated with India’s HEIs provided the data for this study. At AMOS, data was analyzed using EFA, CFA, and SEM. The present study suggests that perceived collegiality and organizational culture are crucial for increasing faculty members’ trust in their own preparedness for implementing knowledge management in higher education institutions. This paper determined that to promote and enhance institutional KM activities, it is crucial that individuals’ trust is encouraged. The findings of the study are relevant for policymakers, practitioners, and service recipients at HEIs. In addition, the results contribute a novel model to the field of knowledge administration in the higher education sector

Isolation and immobilization of alkaline protease on mesoporous silica and mesoporous ZSM-5 zeolite materials for improved catalytic properties

AbstractAlkaline protease from brinjal leaf (Solanum melongena) having milk clotting activity has been purified to 9.44 fold to a final specific activity of 45.71U/mg. SDS-PAGE of the final preparation revealed a single protein band of approx 14kDa. Purified enzyme was characterized and was successfully immobilized into the amorphous mesoporous silica (SBA-15) and crystalline mesoporous zeolite (Nano-ZSM-5) using entrapment method. Maximum immobilization of 63.5% and 79.77% was obtained with SBA-15 and Nano-ZSM-5, respectively. This protocol serves as a novel approach for bioprocesses, mainly as milk coagulant for local dairy products and particularly, cheese making, and opens the new dimension of further research and other innovation

Effect of Different Levels of Organic Manures on Physico-Chemical Properties of Soil under Cowpea Crop in an Inceptisol of Prayagraj, Uttar Pradesh, India

An experiment was conducted on “Effect of different levels of organic manures on physico-chemical properties of soil under cowpea crop in an inceptisol of Prayagraj, Uttar Pradesh, India” to observe  the combined effect of farmyard manure, Vermi Compost and Neem Cake on soil health and yield. The result showed that the application of FYM, Vermi Compost and Neem Cake had a significant and non-significant effect on soil Physico-chemical properties, respectively. The maximum bulk density (1.32 Mg m-3 and 1.35 Mg m-3 ), particle density (2.46 Mg m-3  and 2.48 Mg m-3 ), pH (7.47 and  7.49) and EC (0.251 dS m-1 and  0.248 dS m-1 )  were recorded in T1(absolute control) at 0-15 cm and 15-30 cm depth. Similarly, the maximum percentage pore space (48.92 % and 45.47 %), water holding capacity (43.96 % and  40.38 %), organic Carbon (0.49 % and  0.47 %),  Available Nitrogen ( 301.14 kg ha-1 and 294.97 kg ha-1), Available Phosphorus (30.96 kg ha-1 and 27.50 kg ha-1),  Available Potassium (196.58 kg ha-1and 188.41 kg ha-1) were recorded in T9 treatment

Poly -Hydroxybutyrate Production by Bacillus subtilis NG220 Using Sugar Industry Waste Water

The production of poly -hydroxybutyrate (PHB) by Bacillus subtilis NG220 was observed utilizing the sugar industry waste water supplemented with various carbon and nitrogen sources. At a growth rate of 0.14 g h −1 L −1 , using sugar industry waste water was supplemented with maltose (1% w/v) and ammonium sulphate (1% w/v); the isolate produced 5.297 g/L of poly -hydroxybutyrate accumulating 51.8% (w/w) of biomass. The chemical nature of the polymer was confirmed with nuclear magnetic resonance, Fourier transform infrared, and GC-MS spectroscopy whereas thermal properties were monitored with differential scanning calorimetry. In biodegradability study, when PHB film of the polymer (made by traditional solvent casting technique) was subjected to degradation in various natural habitats like soil, compost, and industrial sludge, it was completely degraded after 30 days in the compost having 25% (w/w) moisture. So, the present study gives insight into dual benefits of conversion of a waste material into value added product, PHB, and waste management

Adaptations and lessons from COVID-19: A perspective on how some industries will be impacted

Since the advent of the novel coronavirus disease (COVID-19), various industrial sectors have been significantly affected. Considering the widespread threat of the SARS-CoV-2 virus, scientists worldwide have been working at a rapid pace to understand the virus, develop vaccines and find possible treatment options. Drastic public health measures such as social distancing, use of PPE, quarantine and complete lockdown have been implemented globally to minimize the spread of the virus. Whilst these measures currently seem the only plausible option, they come at the price of compromised economies. Though there are many collaterally affected industries, this review paper highlights current and forecasted changes in manufacturing, medical, climate change, energy and food processing sectors. Some of these sectors have been positively impacted, such as climate change, whilst others have experienced mixed consequences. Some also face an uphill rebuilding processes, which needs to begin sooner rather than later. This paper highlights important recent developments and perspectives on how industries may adapt and learn from COVID-19