EMEEDP: Enhanced Multi-hop Energy Efficient Distributed Protocol for Heterogeneous Wireless Sensor Network

In WSN (Wireless Sensor Network) every sensor node sensed the data and transmit it to the CH (Cluster head) or BS (Base Station). Sensors are randomly deployed in unreachable areas, where battery replacement or battery charge is not possible. For this reason, Energy conservation is the important design goal while developing a routing and distributed protocol to increase the lifetime of WSN. In this paper, an enhanced energy efficient distributed protocol for heterogeneous WSN have been reported. EMEEDP is proposed for heterogeneous WSN to increase the lifetime of the network. An efficient algorithm is proposed in the form of flowchart and based on various clustering equation proved that the proposed work accomplishes longer lifetime with improved QOS parameters parallel to MEEP. A WSN implemented and tested using Raspberry Pi devices as a base station, temperature sensors as a node and xively.com as a cloud. Users use data for decision purpose or business purposes from xively.com using internet.Comment: 6 pages, 4 figures. arXiv admin note: substantial text overlap with arXiv:1409.1412 by other author

Does fentanyl prolong the analgesia of local anaesthetics in brachial plexus block? A randomized controlled study

Background: Several adjuvants have been added to enhance the effects of local anaesthetic agents in peripheral nerve blocks. In this randomized controlled study we aimed to assess the effects of addition of fentanyl to local anaesthetics in brachial plexus block with respect to onset time and total duration of analgesia.Methods: In this prospective randomized double- blind study, 40 adult patients of 18-65 years age group were randomly divided into two groups of 20 each. In group L supracavicular brachial plexus block was performed with 30 ml of local anaesthetic solution (10 ml 1.5% lignocaine with adrenaline +20 ml 0.25% bupivacaine) +1ml saline whereas in group LF received the same 30 ml local anaesthetics with 50µg fentanyl in 1ml added to it. The characteristics of block with respect to onset time of sensory and motor blockade, total duration of analgesia and any side effects were evaluated.Results: Both groups were comparable with respect to demographic parameters and duration of surgery. The onset time of complete sensory and motor block was significantly prolonged in group LF (17.2±2.5min and 20.3±2.9min) compared to group L (13.7±3.6min and 17.45±3.7min). The total duration of analgesia was also significantly prolonged (P <0.001) in group LF (374.5±51min) compared to group L (239.25±40.27min). There were no significant side effects noted in any patients in both groups.Conclusions: Addition of fentanyl to local anesthetics in brachial plexus block significantly prolonged the duration of analgesia without any significant side effects though it had delayed the onset of block

Clinical pathological and epidemiological study of triple negative breast cancer

Background: Worldwide breast cancer is the most frequently diagnosed life threatening cancer in women and a leading cause of cancer death among women. In Kerala, India around 30% of cancer-affected women have carcinoma breast. Breast carcinomas which do not express estrogen (ER), progesterone (PR), and human epidermal growth factor receptor 2 (HER-2/neu) receptors are known as triple negative breast carcinomas (TNBC). They are extremely aggressive with poor prognosis. Here the authors described the clinical pathological and epidemiological characters of triple negative breast carcinomas in a tertiary care hospital in Kerala, India and compare with non-TNBC.Methods: It was a cross sectional comparative study. Clinical, pathological and epidemiological characteristics of 75 cases of TNBC were compared with that of 225 cases of non-TNBC presented in Department of General Surgery, Government medical college, Kozhikode, Kerala, India between a period from March 2014 to October 2015 (20 months). Patients were recruited after obtaining an informed consent. ER, PR, HER-2/neu status were determined by immunohistochemical staining. Data obtained were statistically analyzed using SPSS software.Results: Triple negative breast carcinoma was significantly associated with a younger age (mean age 43.67 years), early age of menarche. Commonly seen in premenopausal age group (78.7%). Patients with the triple-negative carcinoma had relatively large tumors (mean size 4.45cm compared to 3.14cm) and a high rate of node positivity (86.67%). More advanced stage at diagnosis with high grade tumor characteristics. Most common histopathology was invasive ductal carcinoma (98.7%) but no statistical difference was noted with non-TNBC.Conclusions: No significant difference was noted between TNBC and non TNBC on comparing family history, parity, age at 1st child birth, OCP use. The outcome of the disease following treatment was unable to study due to short time frame of the study

GLOBAL RESEARCH TRENDS IN ENTOMOLOGY DURING 2012 – 2016: AN ANALYTICAL STUDY

The present study explores the quantum of productivity in the field of Entomology. For this study, the data were downloaded from the ‘Web of Science Core Collection’ database and there were 1671 records contributed globally level over a period of five years i.e. 2012-2016. The study contributes to the different aspects of Entomology research, such as year wise distribution, country wise, authorship pattern, the degree of collaboration, and most prolific authors etc. The highest number of records was published in the year 2016, while lowest numbers of records was published in 2012. The doubling time for publications at the decreased level has been computed during 2013 - 2016. The frequency occurrence of words among the publications revealed that the word ‘Diptera’ is found more with 276 (16.5%). Lotka\u27s law with regard to author productivity of Entomology research output was applied. It could be seen that the proportion of all output based on single contribution is important. The total numbers of publications in entomology with collaboration among the top 10 countries are presented. Largest contribution of USA was 307 (18.4%), followed by South Korea with 264 (15.8%)

Examining burnout and stress among healthcare professionals during and post COVID-19 lockdown: A comparative analysis

Purpose: the purpose of this paper is to conduct a comprehensive comparative analysis focusing on burnout and stress experienced by healthcare professionals during and after the COVID-19 lockdown. The COVID-19 pandemic presented an unprecedented challenge for society, particularly for healthcare professionals who faced extended hours, direct exposure to the virus, and substantial stress and burnout. This analysis aims to shed light on the experiences of healthcare professionals during this challenging period and its aftermath, highlighting the need for proactive measures by policymakers and healthcare organizations to support mental health and well-being. Method: the research employs a comparative analysis approach to assess the levels of burnout and stress among healthcare professionals during and post the COVID-19 lockdown. It likely involves surveying healthcare professionals, collecting data on their experiences, and analyzing trends and patterns over time. The methodology may also include qualitative interviews or focus groups to gain deeper insights into the factors contributing to stress and burnout among healthcare professionals. Results and Discussion: the results of the study are expected to reveal the extent of burnout and stress experienced by healthcare professionals during and after the COVID-19 lockdown. This section will discuss the key findings, highlighting any significant differences in stress levels between the two periods and identifying factors contributing to burnout among healthcare professionals. Possible discussions may explore the impact of workload, lack of resources, and personal challenges on mental health and well-being, as well as the effectiveness of existing support systems and interventions. Implications of the Research: the implications of this research are far-reaching, offering valuable insights for policymakers, healthcare organizations, and healthcare professionals themselves. By understanding the unique challenges faced by healthcare professionals during the COVID-19 pandemic and its aftermath, policymakers can develop proactive measures to support mental health and well-being in future public health crises. Healthcare organizations can use the findings to tailor strategies and interventions aimed at reducing burnout and stress among their workforce, ultimately improving patient care and overall organizational performance. Originality/Value: this research contributes to the existing body of knowledge on the impact of the COVID-19 pandemic on healthcare professionals\u27 mental health and well-being. By conducting a comparative analysis, this study offers unique insights into the dynamics of stress and burnout before, during, and after the COVID-19 lockdown. The findings have significant implications for practice, policy, and future research in the field of healthcare workforce management and public health emergency preparednes

Research Productivity in Human Genetics during 2014 – 2018: A Scientometric Approach

An attempt is made for bringing out the growth of literature on human genetics. Web of Science database has been used to retrieve the data of five years (2014-2018) by searching a keyword “Human Genetics in the combined topics, abstract and keywords fields. The scientometric tools and techniques such as document type, year wise distributions, language, and country wise distribution are used for measuring the outputs. Findings of the study indicate that more than 1966 (20.51%) research articles were published in the year 2016. English was the dominant language with 9393 (97.9%) followed by German with 71(0.7%). For the contributing top ten most productive countries, USA topped the list with 46.8%, followed by UK (12.9%), and China (10.1%). The frequency occurrence of words among the publications revealed that the word ‘Human’ is largely found with 1545 (16.1%) and followed by a word ‘genetics’ which occurred in 1389 (14.5%) publications. The results of Straight-line Equation and Time Series Analysis predict future trend of growth of research outputs in human genetics to reach 6374 research papers in the year 2034

Yield forecasting in cardamom (Elettaria cardamomum Maton) plantations under intensive management

A study was undertaken to develop a model for forecasting the yield in cardamom plantations under intensive management. Thirteen biometrical characters namely tillers per clump, tiller height leaves per tiller, vegetative buds per clump, bearing tillers per clump, panicles per clump, panicle length, racemes per panicle, capsules per raceme, seeds per capsule, leaf length, leaf breadth and recovery percentage were chosen as explana tory variables and they exhibited a precision of about 82%. Step down regression resulted in the retention of only four characters namely, panicles per clump, racemes per panicle, capsules per raceme and leaf breadth with which yield can be estimated with around 77% precision. &nbsp

Factor analysis in cardamom (Elettaria cardamomum Maton)

A pooled factor analysis of 17 variables representing morphological, yield contributing and qualitative characters of 90 genotypes of cardamom (Elettaria cardamomum) was carried out at Myladumpara (Kerala), for identifying marker characters which accommodate the inheritance of associated characters. Among the 17 characters subjected to the analysis, 6 factors were identified as having maximum influence on growth, yield and quality of cardamom. Among the six factors identified, three factors controlled yield and yield contributing characters, two factors controlled qualitative characters and one factor controlled growth characters. The characters identified with maximum factor loadings in each group include bearing tillers clump-I, seeds capsule-I, internodal length, racemes panicle-I, leaf breadth and capsules (dry) kg-I. The six principal components or factors accounted for 78.09% of the total variance. &nbsp

Deep neural network with fuzzy algorithm to improve power and traffic-aware reliable reactive routing

In wireless networks, link breaks, and restricted resources create fundamental challenges for maintaining network applications. Several wireless network routing techniques concentrate on power efficiency to expand the network lifetime, but the traffic and reliability parameters are not the primary concern. Though, these techniques are not capable of dealing with the wireless network. Hence, this paper proposes deep neural network (DNN) with a fuzzy algorithm to improve power and traffic-aware reliable reactive routing (PTAR) in wireless networks. The wireless network is formed by clustering by the node power and selects the cluster head (CH) based on a fuzzy algorithm. The wireless node power level, node buffer space, and node reliability to consider the input parameters of the fuzzy system. Then thefuzzy algorithm gives the output for CH round length. This selected CH improves the node reliability, power efficiency with minimized network congestion. Then we use a DNN algorithm to choose an optimal relay by applying an adaptive load balance factor in the network. DNN is a machine learning algorithm, and it provides high accuracy. From the simulation results, the PTAR approach improves the network performance, such as packet received ratio, delay, residual energy, and routing overhead