Effective treatment strategies against Ebola virus

Ebola virus (EBOV), a member of order Mononegavirales is most famous for causing the endemics of hemorrhagic fever in different countries of the world. Various effective treatment for EBOV are available presently but different clinical trials and experimental studies on animal models are ongoing for this purpose. Results from different studies showed that selective vaccines and therapeutic drugs have potential to interfere the viral life events within host cell in order to inhibit its replication. Various pre-clinical trials in this regard are proved successful on non-human primates (NHPs) and found to be significant in inhibiting EBOV infections. It is the need of hour to develop effective vaccines against Ebola virus to combat this problem as soon as possible. The present article is a brief review on potential treatment strategies against Ebola virus

Flow-Based Rules Generation for Intrusion Detection System using Machine Learning Approach

Rapid increase in internet users also brought new ways of privacy and security exploitation. Intrusion is one of such attacks in which an authorized user can access system resources and is major concern for cyber security community. Although AV and firewall companies work hard to cope with this kind of attacks and generate signatures for such exploits but still, they are lagging behind badly in this race. This research proposes an approach to ease the task of rules generationby making use of machine learning for this purpose. We used 17 network features to train a random forest classifier and this trained classifier is then translated into rules which can easily be integrated with most commonly used firewalls like snort and suricata etc. This work targets five kind of attacks: brute force, denial of service, HTTP DoS, infiltrate from inside and SSH brute force. Separate rules are generated for each kind of attack. As not every generated rule contributes toward detection that's why an evaluation mechanism is also used which selects the best rule on the basis of precision and f-measure values. Generated rules for some attacks have 100% precision with detection rate of more than 99% which represents effectiveness of this approach on traditional firewalls. As our proposed system translates trained classifier model into set of rules for firewalls so it is not only effective for rules generation but also give machine learning characteristics to traditional firewall to some extent.&nbsp

FINANCIAL REWARDS CLIMATE AND ITS IMPACT ON EMPLOYEE ATTITUDES TOWARDS JOB SATISFACTION IN THE RETAIL ORGANIZATIONS

Job satisfaction is an attitudinal variable that reflects how people feel about their jobs overall. All aspects of the particular job, good or bad, Positive or negative, are likely to contribute to the development of feelings of satisfaction or dissatisfaction. The endeavor of this research was to find out whether financial rewards have an influence on the attitudes and feeling of employees. A questionnaire was constructed, analyzed and managed a total of 172 employees in the retail organization. Thus 172 usable surveys were analyzed the attitudes of employees on different aspects of their job. Findings showed that financial rewards caused positive job satisfaction of employees and boosted their commitment and increase the output of the organization. However, a high level of employee dissatisfaction was recorded in employee compensation and the amount of work they perform and the amount of responsibilities they accept. The result of this study highlights the role of job satisfaction of employees' and responsibilities of organizations in the promotion of good quality practices of HRM in retail business, and offers a substitute alleyway for employees' satisfaction and performance

Antibacterial activity of phyto-mediated silver nanoparticles developed from Melia azedarach

BACKGROUNDː Nanoparticles formed by plant extracts present a good alternative of existing antibiotics to compete with the resistant strains of bacteria. Antioxidants present in plants synthesize the nanoparticles from metal salt and also cap them.METHODSː In the present study, Melia azedarach fresh leaves were extracted with water. These extracts were reduced by adding silver nitrate (AgNO3) solution separately. Plant extract in different concentration was used to develop nanoparticles with constant strength of salt solution. Color change of extracts represented the development of silver nanoparticles due to reduction of silver ions to form silver nanoparticles. Absorbance of reaction mixtures were determined by UV Vis spectrophotometry. Further antimicrobial activity of these nanoparticles was tested against Borditella pertussis and Xanthomonas axonopodis by agar well diffusion method.RESULTSː Maximum absorbance was noticed between 400-500 nm. EDX analysis proved the presence of silver ions and SEM analysis showed size and shape of nanoparticles (105 nm). Silver nanoparticles developed from water extract of M. azedarach exhibited maximum inhibition zones (25.4±0.36) and (47.2±0.25) against Borditella pertussis and Xanthomonas axonopodis respectively.CONCLUSIONSː The conclusion was established that silver nanoparticles from M. azedarach revealed enhanced antibacterial activity with comparison to pure plant extract and silver nitrate solution and can be used in different antibacterial products.</p

Molecular characterization and transcriptome profiling of expansin genes isolated from Calotropis procera fibers

The Calotropis procera seed fibers provide an excellent model system to study the genes involved in fiber elongation, fineness and strength. Expansins constitute one of the important gene families involved in plant cell expansion and other cell wall modification processes. Four homologs of Expansin A gene i.e. CpEXPA1, CpEXPA2, CpEXPA3 and CpEXPA4 were isolated from the cDNA library obtained from fast growing Calotropis procera fibers. These homologs represented typical Expansin A family. Each of them had two conserved domains including GH45 like domain and the putative polysaccharide binding domain. The deduced amino acid sequences of the homologs indicated three conserved motifs: i) eight cysteine residues at N-terminus, ii) four tryptophan residues at C-terminus and iii) a Histidine-Phenylalanine-Aspartate motif in the center of the sequence. The presence of N-terminal signal peptide consisting of hydrophobic amino acids and a transmembrane region in all these expansin isoforms suggests their cotranslational insertion into the endoplasmic reticulum and then transportation to the cell wall by secretory pathway. The relative quantification of the four expansins in root, stem, fiber and leave tissues indicated that the transcripts of CpEXPA1, CpEXPA2, CpEXPA3 and CpEXPA4 are variably transcribed in these tissues. The lowest transcription of all the four Expansin A isoforms was observed in elongating roots indicating that root tissue might be having specific expansins other than those confined to air grown organs

Impact of COVID-19 on cardiovascular testing in the United States versus the rest of the world

Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-US institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection

In silico analysis to reveal underlying trans differentiation mechanism of Mesenchymal Stem Cells into Osteocytes

Background: Bone is a mineralized dynamic tissue, helps to protect and support the body. Osteoarthritis damages the cartilage and is responsible for the degeneration of the bone. Many cell-based therapies are available to repair the damage however, the non-availability of autologous cells and slows healing during regeneration of the damaged bone present major constraints. Hence, there is a need to search for a convenient and easily available cell source that can not only be used to repair the bone but can also enhance its regenerative potential. β-glycerophosphate, dexamethasone, and L-ascorbic-2-phosphate can differentiate mesenchymal stem cells (MSCs) into osteocytes. So far, the interaction of these compounds with osteocytes-specific proteins has not been studied. In this study, in silico analysis was performed to investigate the interaction of proteins with osteocytes specific compounds at the amino acids level.Methods: 3D structures of Dexamethasone and L-ascorbic-2-phosphate (ascorbic acid) were drawn using Molecular Operating Environment (MOE). Then absorption, distribution, metabolism, and excretion (ADME) analysis was achieved using an online tool of “Swiss Package”. By Ramachandran plot, the predicted model of ALPL, MMP13, Osteonectin, and RunX2 proteins were evaluated. Then docking of these proteins with Dexamethasone and L-ascorbic-2-phosphate was performed.Results: L-ascorbic-2-phosphate and Dexamethasone docked within the binding pockets of ALPL, RunX2, MMP13, and Osteonectin proteins, expressed in the bone cells. These compounds also showed good drug-likeness and pharmacokinetics properties.Conclusion: It is concluded that β-glycerophosphate, dexamethasone, and L-ascorbic-2-phosphate are novel substrates for osteogenic differentiation. These compounds could increase the healing and regenerative potential of bone cells by enhancing the expression of osteocytes specific proteins.Keywords: Bone; Osteoarthritis; β-glycerophosphate; Dexamethasone; L-ascorbic-2-phosphate; Docking; Differentiation; Mesenchymal stem cells (MSCs); Osteonectin

Facile green synthesis of copper oxide nanoparticles for the eradication of multidrug resistant Klebsiella pneumonia and Helicobacter pylori biofilms

In the present study, copper oxide nanoparticles (CuO NPs) were successfully synthesized from Cassia fistula and Melia azedarach leaf extracts via cupric nitrate approach. The successful biosynthesis of CuO NPs was confirmed by experimental analysis such as color transformation, ultraviolet light spectroscopy (UV-spectroscopy), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction analysis (XRD), dynamic light scattering (DLS) and scanning electron microscopy (SEM). Antibacterial activity of the biosynthesized CuO NPs was confirmed against the two antibiotic resistant clinical strains of Klebsiella pneumonia and Helicobacter pylori. Well diffusion assay and minimum inhibitory concentration (MIC) values were optimum when 1 ?g/ml of the NPs were used. This concentration of the NPs derived from C. fistula inhibited the biofilm formation of K. pneumonia and H. pylori by 99.8% and 100%, respectively. On the other hand, the NPs derived from M. azadarech showed biofilm formation inhibition by 92.5% and 99.5% for K. pneumonia and H. pylori, respectively. Scanning electron microscopy (SEM) further elucidated the antibacterial effect through bacterial cell shape disruption and DNA damage

Effective treatment strategies against Ebola virus

Ebola virus (EBOV), a member of order Mononegavirales is most famous for causing the endemics of hemorrhagic fever in different countries of the world. Various effective treatment for EBOV are available presently but different clinical trials and experimental studies on animal models are ongoing for this purpose. Results from different studies showed that selective vaccines and therapeutic drugs have potential to interfere the viral life events within host cell in order to inhibit its replication. Various pre-clinical trials in this regard are proved successful on non-human primates (NHPs) and found to be significant in inhibiting EBOV infections. It is the need of hour to develop effective vaccines against Ebola virus to combat this problem as soon as possible. The present article is a brief review on potential treatment strategies against Ebola virus