An Exploration of Attitudes toward Dogs among College Students in Bangalore, India

Conversations in the field of anthrozoology include treatment and distinction of food animals, animals as workers versus pests, and most recently, emerging pet trends including the practice of pet parenting. This paper explores attitudes toward pet dogs in the shared social space of urban India. The data include 375 pen-and-paper surveys from students at CHRIST (Deemed to be University) in Bangalore, India. Reflecting upon Serpell’s biaxial concept of dogs as a relationship of affect and utility, the paper considers the growing trend of pet dog keeping in urban spaces and the increased use of affiliative words to describe these relationships. The paper also explores potential sex differences in attitudes towards pet and stray dogs. Ultimately, these findings suggest that the presence of and affiliation with pet dogs, with reduced utility and increased affect, is symptomatic of cultural changes typical of societies encountering the second demographic transition. Despite this, sex differences as expected based upon evolutionary principles, remain present, with women more likely to emphasize health and welfare and men more likely to emphasize bravery and risk taking

Grandparenting in Urban Bangalore, India: Support and Involvement From the Standpoint of Young Adult University Students

A variety of caregivers, including grandparents, help raise children. Among grandparents, most Western samples evidence a matrilateral (i.e., mother’s kin) bias in caregiving, and many studies show more positive impacts and stronger relationships with grandmothers than grandfathers. The aim of the present study is to test competing hypotheses about a potential laterality bias and explore contrasts between grandmothers and grandfathers in a sample of urban young adult university students in Bangalore, India. A sample of 377 (252 women) relatively mobile and high socioeconomic status individuals 17 to 25 years of age completed a survey consisting of sociodemographic and grandparenting questions. Results reveal generally little evidence of either a patrilateral or matrilateral bias, though findings varied for some outcomes. As illustrations, there were no differences in residential proximity or the most recent time when a participant saw matrilateral or patrilateral grandparents, whereas maternal grandmothers were more approving of one’s choice of a life partner than were paternal grandmothers. In inductively coded responses to an open-ended item about the roles of grandparents, maternal grandmothers were more often identified as “guides” and less often deemed “non-significant” than paternal grandmothers, while paternal grandfathers were less often viewed as guardians and more often noted for their influence compared with maternal grandparents. Findings also revealed differences between grandmothers and grandfathers, such as grandmothers playing more prominent roles in community and religious festivals. Findings are interpreted within changing residential, work, education, and family dynamics in urban India as well as a primary importance on parents relative to grandparents

Cytological Effects of Paper Mills Effluents on Somatic Cells of Allium Cepa

The cytological effects of paper mills effluents on somatic cells of Allium cepa were presented. The cytological effect decreased by decreasing the concentration of the effluents. Disturbed metaphase, anaphase and telophase, occurrence of binucleate and tetranucleate cells comprised the most dominant types of abnormalities. Clumping of chromosomes, contracted chromosomes, pleiomorphic and micronuclei formation, cell vacuolation and polyploid cells are found less frequently. The c-mitotic effect and other abnormalities may be due to the action of alkalies, acids and bleaching agents present in the paper mill effluents

Improving the Performance of the Distributed File System through Anticipated Parallel Processing

In the emerging Big Data scenario, distributed File systems (DFSs) are used for storing and accessing information in a scalable manner. Many cloud computing systems use DFS as the main storage component. The Big Data applications de-ployed in cloud computing systems more frequently perform read operations and less frequently the write operations. So, improving the performance of read access has become an im-portant research issue in DFS. In the literature, many client side caching with appropriate pre fetching techniques are proposed for improving the performance read access in the DFS. A speculation-based approach which uses client side caching is also proposed in the literature for improving the performance of read access in the DFS. In this paper, we have proposed a new read algorithm for the DFS based on anticipated parallel processing. We have evaluated the per- formance of the proposed algorithm using mathematical and simulation methods and the results indicate that the pro-posed algorithm performs better than the speculation-based algorithm proposed in the literature

Experimental Study of Perforated Pin Fins with Perforations around the Circumference of the Fins

Nine fins with inline arrangement and eight fins in staggered arrangement with each fin having the diameter of 16 mm and the perforation diameter of 3 mm are modeled to study the heat transfer performance. The Nusselt number for staggered perforated fins is obtained in the range of 90 to 235 while for solid pin fins in the similar arrangement, obtained in the range of 80 to 220 with Reynolds number in the range of 15000 to 82,000. The convective heat transfer coefficient in case of perforated fins with staggered arrangement is obtained in the range of 25 to 60 W/m2K while for solid pin fins, it in the range of 20 to 50 W/m2K. Overall analysis showed perforated pin fins with staggered arrangement performed better in terms of heat transfer as compared sold pin fins

Synthesis, spectral characterization and some biological studies of transition metal complexes with Schiff base ligand containing N,O and S as donor atoms

Transition metal complexes of Cu(II), Co(II), Ni(II), Zn(II), Cd(II) and Mn(II) have been synthesized with the Schiff base ligand 5-Sub-N-(2-mercaptophenyl)salicylideneimine. Elemental analysis of these complexes suggest that these metal ions forms complexes of type ML(H2O)stoichiometry for Cu(II), Co(II), Ni(II), Zn(II), Cd(II) and Mn(II). The ligand behaves as tridentate and forms coordinate bonds through O, S and N atoms. Magnetic susceptibility, IR, UV – Visible, Mass and ESR spectral studies suggest that Cu(II), Ni(II) complexes posses square planar geometry, whereas Co(II), Zn(II), Cd(II) and Mn(II) complexes posses tetrahedral geometry. The complexes were tested for their antimicrobial activity against the bacterial strains Staphylococcus aureus and Bacillus subtilis.The Schiff base metal complexes evaluated for their antifungal activity against the fungi A. niger and C. oxysporum. The DNA cleavage studies of Schiff base complexes werestudied using Calf – Thymus DNA by agarose gel electrophoresis method

Hirayama disease: a rare neurological condition of cervical cord pathology

The disease is characterized by a progressive muscle weakness and wasting of distal upper limb muscles sparing brachioradialis. The pathology is in the lower cervical cord due to forward displacement of dural sac and spinal cord by neck flexion. Repeated neck flexion may result in ischemia of the lower cervical anterior horns. The diagnosis can be confirmed by MRI, EMG. It requires a high degree of suspicion in a young patient presenting with unilateral upper limb distal muscle weakness with no sensory involvement, as early diagnosis will help in preventing the progression of the disease by employing simple measures like usage of a cervical collar. We report a case of a 25 year old man presenting with progressive distal upper limb muscle wasting, on investigating further diagnosed to have Hirayama disease

Sustainability and Impact Study of Patent Literature for Scholarly Communication

A patent is an important source of scholarly information and forms a link for scholarly communication in any discipline. The role played by and the influence of patents on scientific invention and innovation has become integral part of R&D, Product development, marketing and many scientific and commercial activities. The purpose of this paper is to analyze the citations for the popular journal called Scientometrics available in the patents issued by the United States Patent and Trademark Office (USPTO). This study provides an overview on the importance of patent citations to scientific journals and provides the citations from the patents available in the USPTO database for Scientometrics Journal, a journal in the field of Library and Information Science (LIS) and Scholarly metrics. This study identifies to what extent the articles from the Scientometrics journal are used and cited by inventors of the patents in the USPTO. We analyzed the patent citations to Scientometrics. The results show that the total number of core patent citations to Scientometrics journal papers on the USPTO were 53 out of 64 retrieved results. The technical papers (or technology-oriented papers) related to various scientific, technical, the World Wide Web, and search engines published in Scientometrics journal attracted more citations from patents

The Mn(II), Co(II), Ni(II) and Cu(II) complexes of (Z)-N'((1H-indol-3-yl)methylene)nicotinohydrazide Schiff base: synthesis, characterization and biological evaluation

Schiff bases being biological moieties possess diverse biological and pharmaceutical applications. Metal ions play an important role in various functions of the biological system as well as the human body. The importance of Schiff base and their metal complexes have been acknowledged in the field of bioinorganic chemistry. The current investigation hence focuses on the synthesis and characterization of a bidentate indole-based ligand(Z)-N'((1H-indol-3-yl)methylene)nicotinohydrazide (L) derived from indole-3-carboxaldehyde (1), nicotinic acid hydrazide (2) and their metal complexes of Mn(II), Co(II), Ni(II) and Cu(II), (4a-d) in 2:1 stichiometric ratio. All the synthesized ligand and complexes were characterized by IR, UV-Visible, H-1 NMR, C-13 NMR, Mass, Powder XRD analysis. Further, the ligand and their metal complexes were screened for antimicrobial, antioxidant and DNA cleavage studies. Among the synthesized complexes, Ni(II) (4c) showed highest antimicrobial activity against tested Gram -ve and Gram +ve bacterial strains and fungal microorganism, better than the ligand (L). The antioxidant activity results showed that the metal complexes (4a-d) were observed to be more active than the parent ligand. Furthermore, the ligand (L) and their respective metal (II) complexes (4a-d) were found to cleave the pBR322 DNA, during gel electrophoresis studies

Statistical Analysis and Deep Learning Associated Modeling for Early stage Detection of Carinoma

The high death rate and overall complexity of the cancer epidemic is a global health crisis. Progress in cancer prediction based on gene expression has increased in light of the speedy advancement using modern high-throughput sequencing methods and a wide range of machine learning techniques, bringing insights into efficient and precise treatment decision-making. Therefore, it is of significant interest to create machine learning systems that accurately identify cancer patients and healthy people. Although several classification systems have been applied to cancer prediction, no single strategy has proven superior. This research shows how to apply deep learning to an optimization method that uses numerous machine learning models. Statistical analysis has helped us choose informative genes, and we've been feeding those to five different categorization models. The results from the five different classifiers are ensembled in the next step using a deep learning technique. The three most common types of adenocarcinoma are those of the lungs, stomach, and breasts. The suggested deep learning-based inter-ensembles model was tested with deep learning-based algorithms on Carcinoma data. The results of the tests show that relative to using only one set of classifiers or the simple consensus algorithm, it improves the precision of cancer prognosis in every analyzed carcinoma dataset. The suggested deep learning-based inter-ensemble approach is demonstrated to be reliable and efficient for cancer diagnosis by entirely using diverse classifiers