Evaluating whether a change in organisational structure would improve its competitive advantage

The purpose of this research is to study and analyse the internal and external structure of Ultimate Clean ltd, where I do work. We have put concentration on background of the company in the starting. This information is followed by aim and scope of research, which shows that what is the research question and what is scope of our research. After that Literature review is elaborated under five main subheadings. These subheading gives us deep information about the literature of organisation structure, competitive advantage. After that, Organisational context with internal and external analyse of the company is given which highlight the strengths, weaknesses, threats and opportunities of the company. Some external factors like political, economic, social and legal, are also discussed in this report. Then some information is given for method of research that why we use it, where and when it is used. Some limitations are also discussed in this report of method. After this, result section comes. In this section, we discussed deeply about the answers of customers, employees and employer. We prepare a discussion of the result and conclude it wisely. In the end, some recommendations are also given to improve organisational structure of Ultimate Clean ltd. We suggest a new structure for the organisation to develop within company to have a good competitive advantage in market place. A big list of references is also given in the end of this report

Identifying different marketing strategies

This research report is based on Curry on Grey restaurant. Moreover, purpose of whole study is finding different marketing strategies for future for Curry on grey restaurant. How different marketing strategy will help to Curry on Grey to increase their market. Qualitative method used for this research reports. Researcher choose questionaries’ and personal observation for conducting survey result and recommendation. Moreover, researcher’s motive behind conducting survey and result is find best marketing strategy for Curry on Grey. In that research report researcher gave survey form to 39 customer which has around 10 questions which is based on ambiance (food quality, service and environment), and on Social media marketing strategy of restaurant. Those questions designed to solve he identify problem of that organisation, which is find different marketing strategies for Curry on Grey restaurant for future. Before conducting the survey, researcher took low risk ethical approval. And consent form also gave to each and every customer who participated in survey. Furthermore, at the end including result and on those result and some observations of researcher’s behalf some recommendations for Curry on Grey restaurant. Those suggestion can help them in future to make new marketing strategy

A Budget-constrained Time and Reliability Optimization BAT Algorithm for Scheduling Workflow Applications in Clouds

AbstractEffective scheduling is one of the key concerns while executing workflows in the cloud environment. Workflow scheduling in clouds refers to the mapping of workflow tasks to the cloud resources to optimize some objective function. In this paper, we apply a recently developed meta-heuristic method called the BAT algorithm to solve the multi-objective problem of workflow scheduling in clouds that minimizes the execution time and maximizes the reliability by keeping the budget within user specified limit. Comparison of the results is made with basic, randomized, evolutionary algorithm (BREA) that uses greedy approach to allocate resources to the workflow tasks on the basis of low cost, high reliability and improved execution time machines. It is clear from the experimental results that the BAT algorithm performs better than the basic randomized evolutionary algorithm

A Novel Graph Centrality Based Approach to Analyze Anomalous Nodes with Negative Behavior

AbstractDetection of different kinds of anomalous behaviors originating from negative ties among actors in online social networks is an unexplored area requiring extensive research. Due to increase in social crimes such as masquerading, bullying, etc., identification and analysis of these activities has become need of the hour. Approaches from two separate, yet, similar research areas, i.e. anomaly detection and negative tie analysis, can be clubbed together to identify negative anomalous nodes. Use of best measures from centrality based (negative ties) and structure based approaches (anomaly detection) can help us identify and analyze the negative ties more efficiently. A comparative analysis has been performed to detect the negative behaviors in online networks using different centrality measures and their relationship in curve fitting anomaly detection techniques. From results it is observed that curve fitting analysis of centrality measures relationship performs better than independent analysis of centrality measures for detecting negative anomalous nodes

Cost Effective Information Dispersal and Retrieval Framework for Cloud Storage

Cloud data storage applications widely demand security of data with minimum cost. Various cloud computing security threats supposed to be addressed in Cloud data service include Data Access Controllability, Data Confidentiality, and Data Integrity. In this paper, we propose a cost effective Information Dispersal and Retrieval framework for Cloud storage. Our proposed framework is different from existing approaches of replication. In our approach, multiple datacenters are considered as virtual independent disks for storing redundant data encoded with erasure codes and hence the proposed framework enables to retrieve user file even when failure of certain number of Cloud services occur . Besides security related benefits of our approach, the application provides user the cost-availability pattern of datacenters and allows cost effective storage on Cloud within user�s budget limit

Proteomic Characterization of Eggshell Membranes and Their Effect on Poultry Physiology and Immunity

The use of antibiotics in poultry growth and disease control has led to antibiotics resistant problem in human beings, which is a big concern among consumers. With the necessity for judicious use of antibiotics in poultry production, alternative strategies to improve disease resistance in poultry production are necessary. The research is more inclined towards using the natural products available to grow healthier and antibiotic free meat animals. In the context of exploring natural and sustainable resource of alternative to antibiotics, the biochemical milieu of eggshell membranes (ESM) were analyzed by using mass spectrometry techniques including matrix assisted laser desorption ionization and liquid chromatography coupled with tandem mass spectrometry (MALDI-TOF-MS and LC-MS/MS). We found more than 300 proteins and the abundant among them are lysozyme, ovotransferrin, ovocleidin, clusterin, ovokeratin ovodefensin and many more. These proteins are not only antimicrobial in nature, but also many, play a vital role in metabolic and developmental processes. A series of experimental trails were done in which chickens by feeding ESM supplemented diet. Our initial experiments showed that feeding 0.5% levels of eggshell membrane not only improved the body weight of chickens, but also modulated immunoglobulin parameters and stress levels. Further experiments were done to see the effect of ESM under endotoxin challenged conditions in which 5 week old chickens fed with ESM supplemented or control diet were challenged with Salmonella lipopolysaccharide. Our results showed significant difference in body weight loss, pro and anti-inflammatory genes, and serum corticosterone levels in control versus ESM fed chickens. ESM supplemented diet not only helped to restore the body weight loss due to LPS injection but it also helped to provides better tolerance to endotoxin challenges as indicated by splenic cytokine profiles of the chickens. In view of the need for alternatives to antibiotics in meat animal production, exploring the potential of egg byproducts as nutritional modulator of immunity during post hatch period appears logical

Effect of Oriented Nuclei on the Competing Modes of α and One-Proton Radioactivities in the Vicinity of Z = 82 Shell Closure

The purpose of the present work is to investigate the alpha (α) emission as competing mode of one proton emission using the preformed cluster decay model (PCM). PCM is based on the quantummechanical tunneling mechanism of penetration of the preformed fragments through a potential barrier, calculated within WKB approximation. To explore the competing aspects of α and one proton radioactivity, we have chosen emitters present immediately above and below the Z = 82 shell closure i.e. 177Tl and 185Bi by taking into account the effects of deformations (β2) and orientations of outgoing nuclei. The minimized values of fragmentation potential and maximized values of preformation probability (P0) for proton and alpha fragment demonstrated the crucial role played by even Z - even N daughter and shell closure effect of Z = 82 daughter, in 177Tl and 185Bi, respectively. The higher values of P0 of the one proton further reveal significance of nuclear structure in the proton radioactivity. From the comparison of proton and α decay, we see that the former is heavily dominating with larger values of P0 in comparison to the later. Theoretically calculated half-lives of one proton and α emission for spherical and deformed considerations have also been compared with available experimental data

Bacteriological Profile and their Antibiotic Susceptibility Pattern in Bloodstream Infections in a Tertiary Care Hospital in North India

Blood is a sterile, liquid connective tissue. When infected with microbes, grave consequences can occur, such as shock, multiple organ failure, disseminated intravascular coagulation (DIC), and death. The World Health Organization reported 49 million cases of sepsis and 11 million sepsis-related deaths in 2017, accounting for approximately 20% of deaths annually worldwide. Rapid identification of the causative organism and timely, appropriate treatment are required to reduce mortality due to bloodstream infections. This study was conducted to analyze the patterns of various bacteria causing bloodstream infections and their antibiotic susceptibility patterns. All blood samples received for diagnosing bloodstream infections at the Microbiology Department of Sri Guru Ram Das Institute of Medical Sciences and Research, Amritsar, were included in the study, the duration of which was 1 year, from January to December 2020. Blood samples of 5–10 ml from adult and 5 ml from pediatric patients, were collected under aseptic conditions, stored in BACTEC bottles, and processed in an automated BACTEC system before antimicrobial therapy. After 7 days of incubation, if no microbial growth was observed, the sample was reported as sterile for aerobic organisms. When growth was observed, broth from positive blood culture bottles was subcultured on blood and MacConkey agar for identification and antimicrobial susceptibility testing using Vitek 2 according to CLSI (Clinical Lab Standard Institute) guidelines and the manufacturer’s instructions. A total of 441 (14.5%) bacteria were isolated from 3007 blood samples from patients with suspected bacteremia. Contamination was observed at a rate of 2.5%. Gram-positive cocci (49%) were the predominant organisms recovered, followed by Gram-negative bacilli (34%). Gram-positive cocci were coagulase-negative Staphylococci (46%), Staphylococcus aureus (7%), and Enterococcus spp. (6%). Among the Gram-negative bacilli, E.coli (14%), Klebsiella spp. (13%), Acinetobacter baumannii (7%), Pseudomonas spp. (7%), Salmonella typhi (2%), Enterobacter spp. (1%), and Serratia spp. (1%) and single isolates of Aeromonas spp., Morganella morgani, Pantoea spp., Proteus mirabilis, and Providentia rettgeri were identified. Linezolid, teicoplanin, and vancomycin were the most effective drugs for treating Gram-positive bacteremia. Tigecycline, carbapenems, and aminoglycosides were the most effective treatments for Gram-negative bacteremia. The results stress the need for continued screening and surveillance in routine blood culture techniques to start empiric therapy for bloodstream infections

Design of Solar-Biomass-Biogas Based Hybrid System for Rural Electrification with Environmental Benefits

After so many years of independence, India still has many villages that are not electrified or grid supply is rarely available. However, there is a lot of scope of tapping the renewable energy resources for power generation at these locations. In the present investigation, optimal design of hybrid power system by utilizing locally available renewable energy resources like solar, biomass and biogas has been carried out and presented. Four different configurations have been compared on the basis of techno-economic evaluation.The proposed model has least net present cost (NPC), cost of energy (COE) and negligible green house gas emission

Electrochemical and thermal detection of allergenic substance lysozyme with molecularly imprinted nanoparticles

Lysozyme (LYZ) is a small cationic protein which is widely used for medical treatment and in the food industry to act as an anti-bacterial agent; however, it can trigger allergic reactions. In this study, high-affinity molecularly imprinted nanoparticles (nanoMIPs) were synthesized for LYZ using a solid-phase approach. The produced nanoMIPs were electrografted to screen-printed electrodes (SPEs), disposable electrodes with high commercial potential, to enable electrochemical and thermal sensing. Electrochemical impedance spectroscopy (EIS) facilitated fast measurement (5–10 min) and is able to determine trace levels of LYZ (pM) and can discriminate between LYZ and structurally similar proteins (bovine serum albumin, troponin-I). In tandem, thermal analysis was conducted with the heat transfer method (HTM), which is based on monitoring the heat transfer resistance at the solid–liquid interface of the functionalized SPE. HTM as detection technique guaranteed trace-level (fM) detection of LYZ but needed longer analysis time compared to EIS measurement (30 min vs 5–10 min). Considering the versatility of the nanoMIPs which can be adapted to virtually any target of interest, these low-cost point-of-care sensors hold great potential to improve food safety