Origin of Ferroelectricity in Orthorhombic LuFeO3_3

We demonstrate that small but finite ferroelectric polarization ($\sim$0.01 $\mu$C/cm$^2$) emerges in orthorhombic LuFeO$_3$ ($Pnma$) at $T_N$ ($\sim$600 K) because of commensurate (k = 0) and collinear magnetic structure. The synchrotron x-ray and neutron diffraction data suggest that the polarization could originate from enhanced bond covalency together with subtle contribution from lattice. The theoretical calculations indicate enhancement of bond covalency as well as the possibility of structural transition to the polar $Pna2_1$ phase below $T_N$. The $Pna2_1$ phase, in fact, is found to be energetically favorable below $T_N$ in orthorhombic LuFeO$_3$ ($albeit$ with very small energy difference) than in isostructural and nonferroelectric LaFeO$_3$ or NdFeO$_3$. Application of electric field induces finite piezostriction in LuFeO$_3$ via electrostriction resulting in clear domain contrast images in piezoresponse force microscopy.Comment: 12 pages, 8 figure

An Empirical Study on the Announcement of Corporate Quarterly Results in India

Announcement of quarterly results is the course of communicating the performance of a company to its owners. Investors’ long-term buying decisions are largely based on the earnings stream of the firm. In order to show the progress of the company, the earnings position is revealed as per the listing agreement at a regular interval. Normally a higher earnings than the previous quarter earnings should be welcomed by the market. This should be associated with greater return after the result is announced. All higher return after the announcement cannot say to be due to the earnings results. To find out the impact of results on returns, the impact of other factors in returns is to be segregated. The impact of other factors in return is taken from the index which is nothing but the market return. The announcement of earnings is unique and specific to a company, to study its impact on the market place, the impact of other factors is removed, that is why the period is limited to 32 days and the return is calculated for 31 days. This study examines abnormal returns of earnings announcement during the pre-announcement and post announcement period. This study is based on samples of 50 Nifty companies listed on National Stock Exchange, exhibited that investors do not gain value from earnings announcement. Indeed shareholders earned little value over a period of 15 days prior to the earnings announcement through to 15 days after the announcement. The lower return may be partially compensated because of the current earnings yield. This study also indicates that announcement of result does not convey any useful information to the investing community, which needs to be further investigated

Scenic Impressions and Lasting Experiences: A Study on the Impact of Destination Image on Tourist Satisfaction in the Nilgiris

The image of a destination plays a pivotal role in shaping tourist satisfaction and influencing their choice of travel. This study explores the dynamic relationship between the perceived image of the Nilgiris – a scenic and culturally rich hill district in Tamil Nadu – and the level of satisfaction experienced by its visitors. With growing competition among tourist destinations, understanding what truly matters to travelers is crucial for sustainable tourism development.To uncover these insights, data was collected from 600 tourists visiting various parts of the Nilgiris, including Ooty, Coonoor, and Kotagiri. The study employed the Garret Ranking Technique, a robust statistical tool that enabled the prioritization of various factors influencing destination image such as natural beauty, hospitality, cleanliness, accessibility, local culture, food, and safety. Respondents were asked to rank these attributes based on their travel experience. The Garret score conversion allowed the identification of key dimensions most valued by tourists, thereby revealing the strongest contributors to their overall satisfaction. Findings highlight that natural scenery and pleasant climate ranked highest among tourist preferences, followed closely by local hospitality and cultural richness. On the other hand, aspects like infrastructure and traffic management were ranked lower, indicating areas needing improvement. The study underscores the importance of enhancing destination image holistically, as even one weak link can affect tourist perception and repeat visits.This research offers practical insights for tourism planners, local authorities, and hospitality stakeholders in the Nilgiris to strategically strengthen and promote destination elements that elevate tourist satisfaction and foster long-term loyalty

The usage of gold and the investment analysis based on gold rate in India

Gold is one of the main commodities where the customers invest their money comparatively with bank for better interest. In the Indian context people purchase gold for their children’s marriages for later period. The investment in gold is better suits for easy conversion into money with quickest possible time from the bank and gold merchants. The appreciation or depreciation of gold based on other investment options like fixed deposit, provident fund, international crude oil price, stock market, mutual fund etc. The comparative analysis of gold with other investment options give an edge to the customer to clearly understand the investment pattern for their hard-earned money expected to give good returns in the future

Comparison between ‘three in one femoral nerve block’ and psoas compartment block for post-operative pain relief following lower limb surgical procedures

Aim of this study was to compare anterior approach (‘three in one block’) and posterior approach (psoas compartment block) of lumbar plexus block in relieving the post-operative pain in patients operated for unilateral hip, femur or knee surgery under spinal anaesthesia. 40 patients undergoing elective orthopedic procedure in hip, femur or knee were randomized into group A and group B. Surgery was done under spinal anaesthesia. At the end of the surgery, single shot lumbar plexus block was given by anterior approach (3 in 1 block) in group A and by posterior approach (psoas compartment block) in group-B patients with 30 ml of 0.25% of bupivacaine. Pain was assessed using verbal rating scale. The time for first rescue analgesic, need of additional analgesic and overall satisfaction of post-operative pain relief were noted. Both the groups were comparable in age, sex, weight, height, vital signs, duration and type of surgery. There is no significant difference in pain level between two groups. The mean time for first rescue analgesia was 9.10 (± 1.52) and 9.90 (± 1.21) hours in group A and group B respectively (p>0.05 not significant). Requirement of additional analgesic was reduced in both groups. More than 90% of patients expressed overall satisfaction of post-operative pain relief in both groups. Both approaches of lumbar plexus block by Three in one femoral nerve block (Group A) and psoas compartment block (Group B) were effective in providing post-operative analgesia after hip, femur, or knee surgery

Enhanced Imputation Method Combining Single and Multiple Methods to Handle Missing Values in Microarray Data

Gene Expression Classification (GEC) is a modern healthcare approach for enhancing present medical practices by classifying patient’s gene structure to different types of cancer so as to provide effective and personalized treatments especially for all types of cancer. The GEC system aids medical practitioner in providing personalized treatments. The proposed GEC system assess the gene structure of a cancer patient through highly intensive computational intelligence technique named Genetic Algorithm (GA). In GA, the search space is composed of candidate solutions to the problem i.e. the collection of gene expression in the corpus, which is going to be used for training the computation model, which can further be used for testing new cancer patients in order to make accurate prediction about the presence of cancer cells. This will enable doctors to treat different cancer patients differently. In this proposed approach, each gene expression has been represented by a vector termed as chromosomes. In each generation, the chromosomes are selected randomly and fitness is evaluated. The probabilistic similarity function is used to estimate the fitness of the chromosome to predict the patient health condition. Experimental results show that the proposed approach works with relatively better accuracy compared to that of baseline approaches