183 research outputs found
A Study on Development of Dual Phase Mobile Banking Adoption Model
The paper focused on development of mobile banking adoption model depicting two phases of mobile banking adoption vis-à-vis reducing the resistance to adopt mobile banking and inducing the adoption of mobile banking. The paper has used integrated Technology Acceptance Model (TAM) as proposed by Gu et al. (2009), along with two other factors namely Trust and Relative Advantage to study mobile banking adoption behaviour and Resistance Model as proposed by Laukkanen & Kiviniemi (2010) adding relative disadvantage (negative relative advantage) as one more factor, to study the mobile banking resistance behaviour. The data has been collected using online as well as offline questionnaire from 633 respondents in India. The model of dual phase mobile banking adoption will raise an opportunity for increased use of mobile banking in India
Multi Criteria Decision Making (MCDM) based preference elicitation framework for life insurance recommendation system
The global life insurance industry has shown a phenomenal growth in number of companies, insurance products and their users. The digital revolution has played a pivotal role in the field of insurance too. Increased numbers of companies and insurance plans have increased the complexities and time involved in selection of appropriate policies. At present, major share of policy selling goes to the agents which may be biased and time consuming. The web aggregators too have failed to provide customized and personalized suggestions. Major portion of population still finds the selection of best insurance plan unfriendly and tedious. This huge volume of data requires intelligent system to facilitate efficient and effective retrieval, processing and management of the data from multiple dimensions. This research paper proposes a framework to provide a personalized life insurance recommender system using TOPSIS method of multi-criteria decision making. Point allocation method along with TOPSIS provides preference elicitation and list of recommended policies ranked according to closeness coefficients. Sensitivity analysis in the paper shows the effect of changing the policy features’ preferences (criteria weights) on the final recommended products. The proposed framework helps in achieving computational excellence for efficient decision making with reduced complexit
The role of new media in political participation: a survey of politicians of Karnataka
Political leaders, government leaders and political parties are getting closer to the masses with new media and social media platforms turning into mass media. However, the usage of digital platforms by politicians is not uniform. The study is an exploration of the usage of new media by politicians of Karnataka. The intention is to study how politicians of Karnataka are getting conversant in the usage of new media for their personal communication, daily work and for public good. In other words, the research focuses on new media consumption and usage by politicians, who are the respondents in the study. Karnataka is one among very few states in India which is leading in e-governance. The state is progressive in using technology and developing software for use of public utility. In terms of the impact of new media on the respondents, it was found that there was considerable impact in terms of usage of devices that helps in accessing new media and also awareness regarding popular social media networking sites. However, the usage as well as awareness is not very extensive and also the purpose for which they were used is limited. And the usage was found to be independent of their age, education and nature of membership of the democratic institutions
Effect of intramuscular tramadol hydrochloride as a labor analgesic in primagravidae
Background: Labour pain is among the most severe pain experienced by women. The need for analgesia to overcome pain in labour is highly requested by women today. In developing nations where availability of facilities is the main limiting factor, intramuscular opioids can be considered.Methods: This study was conducted in teaching. 200 low risk primigravidae who fulfilled the selection criteria with full-term pregnancy with vertex presentation with good uterine contractions and already in active phase of labour were given 100 mg tramadol hydrochloride intramuscularly.Results: 200 primigravidae before giving the drug, no patient had grade-I or no pain, 19% had grade-III and 81% had grade-IV pain. After administration of tramadol hydrochloride IM there was reduction of pain from grade-III and grade IV by 52.49% and all of the patients continued with grade-II pain in 2nd stage and delivered normally and only 6 women had minimal side effects like nausea and vomiting.Conclusions: In low risk primigravidae, IM tramadol hydrochloride appears to be effective with minimal side effects. Hence, in developing nations, where availability of facilities is the main limiting factor, IM opioids can be considered as suitable alternatives
A study on effect of tramadol hydrochloride on both mother and newborn in using labor pain
Background: The analgesic efficacy of intramuscular opioids versus epidural analgesia in labor and concluded that the analgesic efficacy and maternal satisfaction is better with epidural analgesia than with opioids. Hence in developing nations, where availability of facilities is the main limiting factor, intramuscular opioids can be considered suitable alternatives.Methods: A 200 primigravid women presenting with full term pregnancy at a tertiary care center constituted the study subjects.Results: Birth weights of babies’ shows maximum number (65%) of babies have birth weight of 2.5 to 2.9 Kg. About 28.5% have birth weight between 3 to 3.4 Kg, 6.5% of babies’ have birth weight of 2-2.4 Kg.Conclusions: This Drug has no adverse effects in the mothers/ on to newborn
An Experimental Study to Evaluate the Effectiveness of Cryotherapy on Occurrence of Oral Mucositis among Patients Receiving Cancer Chemotherapy in Selected Hospitals of New Delhi
An experimental study was conducted to evaluate the effectiveness of cryotherapy on occurrence of oral mucositis among patients receiving cancer chemotherapy in selected hospitals of New Delhi. The objectives of the study were to assess and compare the effectiveness of cryotherapy on occurrence of oral mucositis among patients receiving cancer chemotherapy in experimental and control groups to establish relationship between occurrence of oral mucositis among patients receiving cancer chemotherapy in experimental group and control group with selected variables. The conceptual framework adopted for the study was based on system model. Quantitative research approach was used in the study to accomplish the objectives of the study. The research design for the study was pre-test and post-test control group design. The sample comprised 60 patients in oncology units of Safdarjung Hospital, selected by random sampling by lottery method. The collected data was analyzed by using both descriptive and inferential statistics. The results showed that there was significant difference between occurrence of oral mucositis among patients receiving cancer chemotherapy in experimental and control groups. In experimental group, there was no significant association between occurrence of oral mucositis among patients receiving cancer chemotherapy with selected variables, viz., gender, nutritional status, duration of illness, concurrent illness, and time period of chemotherapy treatment started, course/cycle, frequency, and other treatment modalities at 0.05 level of significance. In the control group, there was no significant relationship between occurrences of oral mucositis among patients receiving cancer chemotherapy with selected variables, viz., nutritional status, duration of illness, time period of chemotherapy treatment started, course/cycle, frequency, and other treatment modalities at 0.05 level of significance. In the control group, there was significant relationship between occurrence of oral mucositis among patients receiving cancer chemotherapy with selected variables, viz., gender and concurrent illness at 0.05 level of significance. The finding of the present study showed that the majority of the patients with chemotherapy treatment, who were exposed to cryotherapy, experienced reduced occurrence of oral mucositis as compared to patients who were not exposed to cryotherapy
Action-based Early Autism Diagnosis Using Contrastive Feature Learning
Autism, also known as Autism Spectrum Disorder (or ASD), is a neurological
disorder. Its main symptoms include difficulty in (verbal and/or non-verbal)
communication, and rigid/repetitive behavior. These symptoms are often
indistinguishable from a normal (control) individual, due to which this
disorder remains undiagnosed in early childhood leading to delayed treatment.
Since the learning curve is steep during the initial age, an early diagnosis of
autism could allow to take adequate interventions at the right time, which
might positively affect the growth of an autistic child. Further, the
traditional methods of autism diagnosis require multiple visits to a
specialized psychiatrist, however this process can be time-consuming. In this
paper, we present a learning based approach to automate autism diagnosis using
simple and small action video clips of subjects. This task is particularly
challenging because the amount of annotated data available is small, and the
variations among samples from the two categories (ASD and control) are
generally indistinguishable. This is also evident from poor performance of a
binary classifier learned using the cross-entropy loss on top of a baseline
encoder. To address this, we adopt contrastive feature learning in both self
supervised and supervised learning frameworks, and show that these can lead to
a significant increase in the prediction accuracy of a binary classifier on
this task. We further validate this by conducting thorough experimental
analyses under different set-ups on two publicly available datasets.Comment: This preprint has not undergone peer review (when applicable) or any
postsubmission improvements or corrections. The Version of Record of this
article is published in Multimedia Systems (2023), and is available online at
https://doi.org/10.1007/s00530-023-01132-
FPGA Implementation of NPSF Testing Using Block Code Technique
This paper presents a test structure for high speed memories. Built in self test (BIST) give the solution for testing memories and associate hardware for test pattern generation and application for a variety of test algorithms. Memory test algorithm for neighborhood pattern sensitive faults (NPSF) is developed by using block code technique to identify the base cell and deleted neighborhood cells. Test pattern generation can be done by using LFSR and Euler pattern generation. The testing process is verified using Xilinx ISE 14.2 and implemented on Nexys 4 DDR Artix 7 FPGA board
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Comparative Pangenomics of the Mammalian Gut Commensal Bifidobacterium longum
Bifidobacterium longum colonizes mammalian gastrointestinal tracts where it could metabolize host-indigestible oligosaccharides. Although B. longum strains are currently segregated into three subspecies that reflect common metabolic capacities and genetic similarity, heterogeneity within subspecies suggests that these taxonomic boundaries may not be completely resolved. To address this, the B. longum pangenome was analyzed from representative strains isolated from a diverse set of sources. As a result, the B. longum pangenome is open and contains almost 17,000 genes, with over 85% of genes found in \u3c /=28 of 191 strains. B. longum genomes share a small core gene set of only ~500 genes, or ~3% of the total pangenome. Although the individual B. longum subspecies pangenomes share similar relative abundances of clusters of orthologous groups, strains show inter- and intrasubspecies differences with respect to carbohydrate utilization gene content and growth phenotypes
The comparative genomics of Bifidobacterium callitrichos reflects dietary carbohydrate utilization within the common marmoset gut
Bifidobacterium is a diverse genus of anaerobic, saccharolytic bacteria that colonize many animals, notably humans and other mammals. The presence of these bacteria in the gastrointestinal tract represents a potential coevolution between the gut microbiome and its mammalian host mediated by diet. To study the relationship between bifidobacterial gut symbionts and host nutrition, we analyzed the genome of two bifidobacteria strains isolated from the feces of a common marmoset (Callithrix jacchus), a primate species studied for its ability to subsist on host-indigestible carbohydrates. Whole genome sequencing identified these isolates as unique strains of Bifidobacterium callitrichos. All three strains, including these isolates and the previously described type strain, contain genes that may enable utilization of marmoset dietary substrates. These include genes predicted to contribute to galactose, arabinose, and trehalose metabolic pathways. In addition, significant genomic differences between strains suggest that bifidobacteria possess distinct roles in carbohydrate metabolism within the same host. Thus, bifidobacteria utilize dietary components specific to their host, both humans and non-human primates alike. Comparative genomics suggests conservation of possible coevolutionary relationships within the primate clade
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