Identifying customer satisfaction at New Lives Animal Rescue Opshop

New lives animal rescue is a registered charity which is rescuing and rehoming almost all kinds of animals. They collect donated goods from people and sell those items at second hand price through the Opshop. All money obtained by the Opshop goes to the shelter home. They have two Opshops, located at Hamilton and Cambridge. The research work was held at New Lives Animal Rescue Opshop, Grey Street, Hamilton. The research topic was to identify customer satisfaction at the Opshop, as well as, how to maintain customer satisfaction in the future. Competitors for this Opshop include the Salvation Army and New Zealand Red Cross. The quantitative method research methodology was used is choosing the survey method to identify customer satisfaction. The customer survey was held at the Opshop. Thirty customers participated in this survey. Every customer was given 10 minutes to complete the survey. The limitations of the research work were time and money. There were 23% male and 77% female customers participating in the customer survey. Almost 50% of the customers were more than 50 years old. Almost 80% of customers were satisfied with this Opshop. The customers have natural views about the quality of products. Regarding customer loyalty, almost 40% claimed that this was their first purchase. The other 60% people are very loyal to the shop. I found that most of the customers were very likely to recommend this shop to their friends and family members. Almost 77% of customers were fully satisfied with the store location. The customers however were not very satisfied with the price of the products available in the Opshop. The research has concluded with recommendations to be made for further customer satisfaction at New Lives Animal Rescue Opshop

Twitter Data Predicting Stock Price Using Data Mining Techniques

In this project, we apply sentiment analysis and data mining techniques to discover the correlation between “public sentiment” and “market sentiment”. We use twitter data to predict public mood and use the predicted mood and previous days’ NASDAQ values to predict the stock market movements. We foremost look for a correlation between twitter sentiment and stock prices. Secondly, we determine which words in tweets correlate with changes in stock prices by doing a post analysis of price change and tweets. Also, we discover the relationship between tweets of the vital Twitter user related to the stock and the corresponding one stock price behavior. Lastly, we will try to analyze trending mood on twitter of Top Gainers and Top losers. We achieved this by mining tweets using Twitter’s search API and subsequently processing them for analysis using Sentimental Analysis. For the task of determining sentiment, we test the effectiveness of three data mining techniques: Naive Bayes classification, Decision Tree, and Text Mining

SYNTHESIS OF FLAVONES FROM 2-HYDROXY ACETOPHENONE AND AROMATIC ALDEHYDE DERIVATIVES BY CONVENTIONAL METHODS AND GREEN CHEMISTRY APPROACH

Objective: Flavones occupy a special place in the realm of natural and synthetic organic chemistry owing to their diversified biological activities. In this study, a series of chalcone derivatives were synthesized and after cyclization of chalcone to synthesized various substituted flavone derivatives (2A-2L). 2 Methods: The reaction of 2-hydroxy acetophenone with substituted aromatic aldehydes produced chalcone by trituration (NaOH) and conventional methods (KOH/EtOH), which upon further cyclization with dimethyl sulfoxide/I  resulted to form flavone derivatives.Results: The purity of compounds was ascertained by melting point and thin-layer chromatography. The synthesized compounds have been characterized by mass, infrared, and1H nuclear magnetic resonance spectral analysis.Conclusion: Based on spectral data, it was proved that all synthesized chalcones and flavones derivatives meet the standard values of various spectral techniques and further it will be evaluated for pharmacological activities.Keywords: Chalcone, Flavone, Trituration, Conventional, Claisen-Schmidt condensation

NYC Taxi Trip and Fare Data Analytics using BigData

Traditionally the data captured from the NYC Taxi & Limousine commission was physically analysed by various analyst to find the superlative practice to follow and derives the output from it which would eventually aids the people who commute via taxis. Later during early 2000 the taxi services where exponentially developed and the data capture by NYC was in GB’s, which was very difficult to analyse manually. To overcome these hitches BigData was under the limelight to analyse such a colossal dataset. There were around 180 million taxi ride in city of New York in 2014. BigData can effortlessly analyse the thousands of GB within a fractions seconds and expedite the process. This data can be analysed for several purposes like avoiding traffics, lower rate where services are not functioning more frequency than a cab on crown location and many more. This information can be used by numerous authorities and industries for their own purpose. Government official can use this data to deliver supplementary public transport service. The company like Uber can use this data for their own taxi service

Optimization of Drilling Parameters for GFRP with Full Factorial Method

Drilling is the most commonly applied method for hole making of fiber reinforced materials owing to the need for structure joining. GFRP is required a high quality drilling parameters due to its application in research and development, aerospace, marine, delegate furniture, roof, bridge construction, etc. This study had been given a new approach to optimize the drilling parameters such as thrust force and delamination through DOE by using full factorial design. The purpose of this study is to investigate the influence of drilling parameters, such as cutting speed, feed and Thickness of material on torque, thrust force and delamination produced when drilling different a thickness of GFRP composite sheet. It had been regression analysis and ANOVA to analyze and optimize the process parameter of drilling. From the results it has been observed that the significant effect of thickness, speed and feed on the responses thrust force, torque and circularity. It has been concluding that the minimum thickness, speed and feed given the optimum result of thrust force. The minimum speed, thickness and median feed given a optimum result for torque. The maximum speed median feed and minimum thickness given optimum result for circularity

Identification of chalcone derivatives as putative non-steroidal aromatase inhibitors potentially useful against breast cancer by molecular docking and ADME prediction

Aromatase is an influential target to overcome estrogen receptor positive breast cancer, as the enzyme is responsible for conversion of androstenedione to estrone, a promising drug target for therapeutic management of breast cancer. Chalcones are prominent biosynthetic compounds and parent candidate for the synthesis of heterocycles with diversified biological activities. The prime objective of the present study is to evaluate the binding interaction of 2-hydroxyphenyl- prop-2-en-1-one (1A-1X), 2-hydroxy-4-methoxyphenyl- prop-2-en-1-one (3A-3X), 2,4-dihydroxyphenyl- prop-2-en-1-one (9A-9X) and 1-hydroxynaphthalen-2-yl-prop-2-en-1-one (5A-5X) derivatives with aromatase enzyme by molecular docking study and also check their ADME properties by maestro suit. The designed chalcones derivatives have been docked against our target protein with PDB id 3S7S retrieved from the protein data bank, whereas exemestane has been taken as the positive control. As docking data revealed that docking score of 1K, 1U, 1B 3K 3N, 5K, 5U, 9S, 9K, 9N and 9F compounds found less than exemestane and all of these compounds with appropriate ADME properties have proven their excellent absorption as well as solubility characteristics. The present findings provided valuable information about binding interactions of chalcones derivatives to the active site of aromatase. These compounds may serve as potential lead compound for developing new aromatase inhibitors in breast cancer treatment

Identification of chalcone derivatives as putative non-steroidal aromatase inhibitors potentially useful against breast cancer by molecular docking and ADME prediction

283-293Aromatase is an influential target to overcome estrogen receptor positive breast cancer, as the enzyme is responsible for conversion of androstenedione to estrone, a promising drug target for therapeutic management of breast cancer. Chalcones are prominent biosynthetic compounds and parent candidate for the synthesis of heterocycles with diversified biological activities. The prime objective of the present study is to evaluate the binding interaction of 2-hydroxyphenyl- prop-2-en-1-one (1A-1X), 2-hydroxy-4-methoxyphenyl- prop-2-en-1-one (3A-3X), 2,4-dihydroxyphenyl- prop-2-en-1-one (9A-9X) and 1-hydroxynaphthalen-2-yl-prop-2-en-1-one (5A-5X) derivatives with aromatase enzyme by molecular docking study and also check their ADME properties by maestro suit. The designed chalcones derivatives have been docked against our target protein with PDB id 3S7S retrieved from the protein data bank, whereas exemestane has been taken as the positive control. As docking data revealed that docking score of 1K, 1U, 1B 3K 3N, 5K, 5U, 9S, 9K, 9N and 9F compounds found less than exemestane and all of these compounds with appropriate ADME properties have proven their excellent absorption as well as solubility characteristics. The present findings provided valuable information about binding interactions of chalcones derivatives to the active site of aromatase. These compounds may serve as potential lead compound for developing new aromatase inhibitors in breast cancer treatment

A Review to Enhance the Efficiency of Double Pass Solar Air Heater

Solar air heater is a most popular device in the space heating and industrial processes applications. But solar air heater has lower heat-transfer coefficient between the absorber plate and the air stream, which results in a lower thermal efficiency of the heater. The solar air heaters efficiency can be affected by various parameters such as collector length, number of channels, depth of channels, type of absorber plate, number and material of glass covers, air inlet temperature and air velocity. The effect of fins, Baffles and porous media on double pass solar air heater will measured by this research study. This aim is to analyze the thermal efficiency of double pass solar air heater and measured the effect of different type of media on the efficiency of it. The effects of major parameters temperature difference, air velocity, pressure difference, mass flow rate of the air has been observed for these perform study. DOI: 10.17762/ijritcc2321-8169.15025

Focused POCUS: Cardiopulmonary Curriculum for Internal Medicine Residents

Problem Statement: Point-of-care ultrasound (POCUS) is currently not a required core competency in internal medicine (IM) residency despite its inherent benefits, and many hospitalists are not equipped to confidently acquire nor interpret basic ultrasound images. Background: POCUS is used at the bedside by physicians to answer directed clinical questions to help guide patient management. During the COVID-19 pandemic, the use of ultrasound for quick, accurate diagnosis of life-threatening pathology has been instrumental in early detection of acute cardiopulmonary failure, monitoring treatment response, and minimizing nosocomial spread. We aimed to determine interest in learning POCUS, confidence level, self-rated proficiency, and perceived barriers to mastering imaging techniques and interpretation before and after implementing a dedicated curriculum. Methodology: Anonymous pre- and post-curriculum surveys were obtained from 30 IM residents at a community hospital program from 2020-2021. A curriculum consisting of one monthly didactic course with an associated hands-on simulation lab was implemented in small groups of six residents over one year. Topics included basic echocardiography, identifying right heart strain, inferior vena cava variability, techniques for ultrasound-guided vascular access, locating compartmental free fluid, and identifying various pulmonary disorders. The training was facilitated using a low-cost handheld portable ultrasound machine. Results: A total of 30 IM residents completed both the pre- and post-survey. While 100% of residents believed learning POCUS will be beneficial in the inpatient IM setting, only 20% of residents had any prior formal training on ultrasound. More specifically, 20% had no experience at all, 63.3% had some experience, and only 16.7% had a good amount of experience. However, no residents considered themselves to have enough experience or being experts. On a scale of 1-10, rating their confidence level of using ultrasound in clinical practice to guide management, the average mean score was 4.3/10 (SD 1.84) before implementation of the curriculum and 6.1/10 (SD 1.59) after implementation of the curriculum. Self-rated proficiency in obtaining and interpreting key images was poor across the board pre-curriculum, but consistently rose to average or above-average after completing the curriculum. Interestingly, the most common perceived barrier to learning ultrasound and proficiently using these skills in clinical practice was insufficient supervised practice (24/30, 80%), insufficient training (23/30, 76.7%), and insufficient knowledge/experts available (19/30, 63.3%). Conclusions: A structured POCUS curriculum focused on cardiovascular and pulmonary pathology was successfully incorporated into an IM residency program with minimal expenses and resource utilization. POCUS is becoming an integral part of the hospitalists’ arsenal in improving efficiency and directing medical care in the inpatient setting. Our study demonstrated retention of knowledge, increased interest, and improved confidence in POCUS utilization among IM residents while also suggesting a need for more skilled attending IM providers who can deliver their expertise to medical trainees with a unified goal of improving patient care. Future directions to solidify this curriculum would be to implement an oral and written practical assessment post-curriculum to further solidify comprehension, skills, and evaluate knowledge gaps