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The COVID 19 pandemic has challenged the humankind's livelihood, physical health, mental health, employment, and economy. Lockdowns, quarantines, online teaching, and learning have become new normal. Negativities have been spread across the globe and society by the pandemic. The negative effects caused a confused mindset, fear, anxiety, stress, and other psychological complications amongst the people especially among the Health Care Workers (HCWs), children, elderly people, and Frontline Workers (FLWs). This research work examines the levels of Occupational Stress (OS), and psychological well-being (PWB) of HCWs and police personnel during the pandemic and the relationship between OS and PWB. Further, the study analyzed the role of Positive Psychological Capital (PPC) as a mediator and Emotional Quotient (EQ) as a moderator in the relationship between OS and PWB. Positive Psychological Capital (PPC) characteristics of the respondents such as having faith in one's ability, and performance, willingness to succeed or attain the goals framed, ability to bounce back from the hard times, and their optimism about the future have helped them to tackle the stress caused by the pandemic and to maintain a better state of psychological wellbeing in the fight against the pandemic., Author(s): T. Ravikumar [sup.1] Author Affiliations: (1) grid.440672.3, 0000 0004 1761 0390, School of Business and Management, CHRIST (Deemed University), , Bangalore, Karnataka, India Introduction The COVID 19 has upended [...]

The present work involves in a novel approach of studying the material characteristics of AZ31 alloy by varying the cooling method in powder metallurgy and particle size of the matrix material. It also has a novel approach of reinforcing AZ31 alloy with quarry dust and providing self oxide coating to the material in a distinct way for corrosion resistance. The alloy is prepared through powder metallurgy with a pressure of 675 MPa, sintered at 540 ºC, with one hour of soaking. The Scanning Electron Microscopy images are taken to analyse the microstructure. Wear and corrosion studies are done to analyse the effect of parameters. Optimisation for wear is also done with Taguchi method. The AZ31 samples reinforced 5, 10 and 15% of quarry dust are prepared and studied for mechanical properties. The material prepared using 75–150 micron range, cooled in still air cooling and with 5% reinforcement has shown higher values of compressive strength and microhardness. The alloy provided with self-oxide coating has shown higher resistance to corrosion than that of uncoated alloy and the composite. [ABSTRACT FROM AUTHOR]

Mohale, H.P.; Jawahar, P.; Jayakumar, N.; Swapnil, N.; Kadam, R.V.; Prakash, P.; Oli, G.A., and Ravikumar, T., 2024. Fishery, biology, and dynamics of Parapenaeopsis maxillipedo (Alcock, 1905) off the SE coast of Tamil Nadu (India). Journal of Coastal Research, 40(4), 779–791. Charlotte (North Carolina), ISSN 0749-0208. The current study was carried out between September 2022 to September 2023 from SE coast of Tamil Nadu for Parapenaeopsis shrimp. This shrimp, estimated to rank third in shrimp production, landed as 2216, 2032, and 1704 kg from Thoothukudi, Mandapam, and Nagapattinam landing centers, respectively. The catch per unit effort was calculated to check the abundance of this species and ranged from 21.83 to 96.41 kg, averaging 46.33% in both years. The total length of males and females was observed in the range of 5.5 to 10.5 cm and 6.5 to 12.5 cm, respectively. Female shrimp attained first maturity at 6.5 cm, whereas male shrimp were 5.5 cm. The gonadosomatic index was calculated and found to be the highest (5.64–5.78) in March and September and the lowest in April and October for both years. The absolute fecundity for P. maxillipedo was recorded and ranged from 38,500 to 1,32,000 ova per female. The highest index of relative importance was observed in October and April for both male (57.04) and female (73.82) shrimp. To estimate von Bertalanffy's growth equation in P. maxillipedo, the asymptotic length and growth coefficient (K) growth parameters were combined for both sexes and analyzedas 13.55 cm and 1.5 y–1, respectively. The total mortality and natural mortality (M) were observed as 3.04 and 2.86 y–1, respectively. Hence, fishing mortality was 0.18 y–1, and the exploitation rate (E) was 0.06. The length at first catch per length (LC/L) and M/K values were calculated using the Y/R model as 0.52 and 1.2 for males and 0.48 and 1.3 for females, respectively. E was observed as 0.06, which was lower than the maximum E of 0.4, which showed that the P. maxillipedo fisheries along the SE coast of Tamil Nadu were at unexploited conditions. [ABSTRACT FROM AUTHOR]

As there are job opportunities worldwide, the graduates who are being produced in large numbers from various backgrounds are constantly trying to get them. Moreover, the management of graduate colleges gives proper training to the students to get those opportunities. Every student has their skills, unique creative outlook, studying, and good academic skills that help them get placed in various companies and also have a chance to get reputed positions, but most of the graduates are still failing to get the opportunity because they cannot find what skills to acquire. For this reason, in this paper, we gathered information from students who have finished their courses at different colleges. Collected information by communication and asked them about their academics, performance, families, skills, personal information, habits, etc., and what prevented them from taking the opportunity. Then, we made a dataset with all the factors that affected a student's career and used that to create a model with synthetic data. Student Placement Prediction can also benefit colleges and universities by providing valuable observations of student career outcomes. By understanding the factors influencing student job placement, colleges can conduct services and programs to help their students be better prepared for their careers. Accuracy and precision were used to evaluate the eXtreme Gradient Boost (XGBoost) machine learning model's performance compared to standard classification techniques. According to the results, the proposed algorithm is vastly superior to the alternatives. [ABSTRACT FROM AUTHOR]

Desires of materials with lesser weight made wide spread use of alloys based on magnesium in automobiles and aerospace applications in the view of overcoming lower strength of these materials when compared to aluminium, these materials are added with some hard materials like ceramics, metal oxides or natural remaining as a reinforcing phase with a proof for improvement in properties. In the present work AZ31 alloy is strengthened by adding Coconut Shell Ash particles (CSAp) by means of powder metallurgy and the examinations like microstructure, micro hardness, compressive strength and wear are conducted. The ash particles content as reinforcement has not imparted larger variation in the strength and hardness, the wear resistance is increased with the addition of ash particles and the addition of CSAp exceeding 3% leads to crack. [ABSTRACT FROM AUTHOR]

Magnesium based alloys are some of the widely used light weight metals in vehicles and aerospace industries, but these materials are having low strength to weight ratio when compared to aluminium. To enhance their strength to weight ratio, some ceramic materials like carbides and oxides of metals are added as reinforcements. In this work, AZ31 magnesium alloy is reinforced with 1%, 2% and 3% of Groundnut Shell Ash particles (GSAp) through powder metallurgy. Micro hardness and compressive strength are studied and the microstructural analysis is also done. The addition of ash particles as reinforcement has not shown much variation in the strength and hardness. The addition of ash particles of more than 3% leads to crack. The addition of ash particles increases the rate of corrosion. [ABSTRACT FROM AUTHOR]

An experimental work is carried out on automobile air conditioning test setup. Pure refrigerant R134a is used initially and its thermodynamic characteristics were analysed and then it is compared with the R134a CuO nanorefrigerant. The experiment is conducted by heating the cabin to a temperature of 50°C by using electric heaters. Temperature uniformity inside the cabin is maintained and by varying the evaporator airflow rates at various compressor speeds. The difference in suction pressure between low, medium and high speed is very small. The discharge temperature of R134a at low speed Td L is 72°C at 850 rpm, the discharge temperature at the same speed for nanoparticles is 63.7°C and 58.3°C. The coefficient of performance of nanorefrigerant is increased by 17% at low speed and 20% at medium speed and 34% at high speed at 1600 rpm when compared with pure R134a. [ABSTRACT FROM AUTHOR]

Because of its superior thermal properties and multiple prospective uses, nanofluids had sparked the interest of investigators. Addition of nanoparticles to refrigerants and lubricants improves thermal characteristics and lowers power wastage. In this paper R134a refrigerant is added with nanoparticle CuO in the concentration of 0.1%v to 0.5%v and its performance is evaluated. The suction pressure of R134a at 32°C is 9% higher than R134a+0.1nm and 17% higher than R13a+0.5nm. The discharge temperature of R134a is more than nano refrigerant. Due to this, the power consumption of R134a is more than nano refrigerant. By adding nanoparticles to refrigerant, the power consumption at 28°C is 23% less than R134a which shows nanoparticles works normally when mixed with R134a. Due to high thermal conductivity of nanoparticles, the coefficient of performance of R134a is 35% less than R134a+0.1nm and 41% less than R134a+0.5nm. [ABSTRACT FROM AUTHOR]

Byline: T. Ravikumar, R. Kanagarethinam, Divya. Nair, Sitanshu. Kar Background: Prevalence of cardiovascular diseases are reported to be high in police force, which constitute a special occupational group. 'Partners in [...]