Long term performance of certain ortets and hybrid clones of Hevea brasiliensis in a high altitude region in Kerala, India

Long term performance of four hybrid Hevea clones and ten ortet selections including nine from a high elevation site within the traditional rubber growing tract of Kerala was studied. Significant variability was observed among the hybrids and ortets for all major agronomic traits. Growth of rubber trees was invariably poor in the high altitude region and tappability by the tenth year of planting was less than 50 per cent. The hybrid clones RRII 203 and RRIC 100 showed highest growth vigour with 80 per cent tappability by the 13th year of planting. Among the ortets, P 270 and Iritty 1 recorded the highest tappability of 64 per cent. The ortet P 270 was the best performer with the highest girth at the opening (61 cm), girth increment during immaturity (5.5 cm) on tapping (3.4 cm) and bole volume (0.1 m3). RRII 203 was the highest yielding clone with 56 g tree-1 tap-1 over eight years of tapping. High annual yield (48 g tree-1 tap-1) and lean season yield of P 270 combined with high drc on par with the highest yielding clone RRII 203 indicated the specific adaptability of this ortet to high elevation areas. The ortets P 213 and Iritty 1 and hybrid clone RRIC 100 were the other promising clones exhibiting growth adaptation and high yield potential under high altitude conditions

Novel Selective Mapping with Oppositional Hosted Cuckoo Optimization Algorithm for PAPR Reduction in 5G UFMC Systems

In recent times, there is a continuous requirement of achieving high data rates owing to an increase in the number of devices and significant demand for various services with maximum reliability and minimum delay. It results in the development of fifth generation (5G) to offer better services with enhanced data rate. Recently, a major alternative to OFDM technology for 5G networks called universal filtered multi-carrier (UFMC) is presented where every individual sub-band is filtered that reduces the OOB radiation and eliminates guard band. But high peak-to-average power ratio (PAPR) is a crucial issue which arises from the utilization of several subcarriers to generate the time domain transmission signal. For resolving this issue, this paper presents a novel selective mapping with oppositional hosted cuckoo optimization (SM-OHOCO) algorithm for PAPR reduction in 5G UFMC systems. In the SM-OHOCO algorithm, rather than the generation of several random phase sequences, SM-OHOCO algorithm is performed iteratively to attain a better solution with few searching rounds, showing the novelty of the work. As the optimization of phase sequence in the SLM technique is considered as an NP hard optimization problem, the OHOCO algorithm is applied, which is derived by incorporating the concepts of the HOCO algorithm with oppositional based learning (OBL) strategy. To validate the effective performance of the proposed SM-OHOCO algorithm, an extensive experimental analysis is performed to highlight the improved performance in 5G networks. The resultant values pointed out the superior outcome of the proposed SM-OHOCO algorithm over the other existing methods in terms of distinct measure

BIOPROSPECTING OF MARINE SPONGE (CALLYSPONGIA DIFFUSA) FOR ANTIBACTERIAL COMPOUND.

Objective: Marine sponges are a rich source of new antimicrobial drugs. The present study was aimed to evaluate the antibacterial activity of the marine sponge (Callyspongia diffusa) against human pathogenic bacteria and to analyze the presence of bioactive compounds in the sponge.Methods: Antibacterial activity of the marine sponge C. diffuser was examined using petroleum ether, chloroform, n-butanol, methanol, ethanol, and water as solvents and tested against human pathogenic bacteria such as Esherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus by agar well diffusion method. Zoochemical analysis was performed to screen for the presence of secondary metabolites. Bioactive compounds were purified by thin layer chromatography (TLC) and were identified by gas chromatography-mass spectrometry (GC-MS) analysis.Results: The results obtained show that the sponge extracts had significant antibacterial activity against the tested strains. The methanol extract was found to be the most effective and exhibited the highest potency against all pathogens tested. Zoochemical analysis revealed the presence of alkaloids, terpenoids, and sterols. In TLC, spots corresponding to a Rf value of 0.67 were found to possess antibacterial activity against the test bacteria. GC-MS chromatogram showed seven major peaks at retention time of 12.69, 13.81, 24.21, 24.65, 28.01, 28.93, 30.87 minutes. The mass of the compounds and fragments were matched with the National Institute of Standard and Technology (NIST) database for identification of probable compounds present in the sample. GC-MS analysis revealed the presence of bioactive compounds in the sponge.Conclusion: This study confirms the marine natural species provides an excellent source of bioactive metabolites that can exploit to develop novel and potential therapeutic agents

Effectiveness of Biological Fixation of Distal Tibial Fractures with Locking Compression Plates in Adults

AIM OF THE STUDY: To evaluate the effectiveness of biological fixation of closed distal tibial fractures in adults treated with precontoured locking compression plates designed for the distal tibia. MATERIALS AND METHODS: Cases of distal tibial fractures (closed and grade 1 open ) with /without associated fractures involving other region who presented to Department of Orthopaedics, Thanjavur Medical College,Thanjavur,during the study period, who satisfy the inclusion criteria that are studied and medically fit for surgery. STUDY DESIGN: Prospective study. SOURCE OF DATA: Patients who sustained closed and grade I open fractures of distal tibia and were treated by minimally invasive plate osteosynthesis using locking compression plate in the Department of Orthopaedics,Thanjavur Medical College,Thanjavur were taken as the study population. Sample size: 32 patients with closed and grade I open fractures of distal tibia and were treated by minimally invasive plate osteosynthesis using locking compression plate were selected for inclusion in the study. Inclusion Criteria: 1. Fresh distal tibial fractures closed and grade I open fractures. 2. Fractures of distal tibia unfavourable for interlocking nail. 3. Complex fractures of lower third of tibia. 4. Adult Patients willing to undergo surgery in both sexes. Exclusion Criteria: 1. Fractures in skeletally immature age group. 2. Significant contraindication to any anaesthesia. 3. Patient unwilling for surgery. 4. Grade II,III open fractures of distal tibia. 32 cases of adult distal tibial fractures were treated in an average period of five days with most injuries being from vehicular accidents. In spite of the bulky nature of the implant, we were able to pass the implant distal to proximally bridging the fracture under C-arm guidance. This process resulted in an acceptable reduction, though not anatomical. Except for two cases who had wound dehiscence and infection, none others came for implant removal. Excellent to good results was seen in 76.6% of the study population. This study concludes that in distal tibial fractures taken for surgery early after anaesthetic assessment, minimally invasive plate osteosynthesis done biologically yields good results. CONCLUSION: Distal tibial fractures pose a great challenge to an orthopaedic surgeon, since most of them are high velocity injury with cross soft tissue swelling. In the present study, the distal tibial biological locking plate technique achieved acceptable results both clinically and radiologically. As it reduces surgical trauma to soft tissue and retains vascularity of the fragments while providing rigidity of fracture fragments

A BIBLIOMETRIC ANALYSIS OF CONTRIBUTIONS IN THE JOURNAL “NATURE”

The present study Bibliometric analysis of the Journal “Nature” covers 13499 articles of 59 volumes in five years from 2013 to 2017. The aim of study was to analyze the year wise distribution of articles & citations, authorship pattern of articles, group co-efficient values for collaborative author’s publications, ranking of authors based on publications and h-index score, most productive countries and institutions, type of document published, keyword distribution, impact factor and future growth of journal. Form the analysis the following Results has been found that, in the year 2015 highest number of 2944(21.81%) articles was published out of 13499 articles in five years. Average numbers of citations per article are 33.70. Single author contribution has more dominant with 7063(52.3%) articles. A total number of 88670 authors around the globe are contributing articles in this journal. The anonymous author has been ranked top contributing maximum 987 articles. Witze A is in the second position with 179 articles. Wang J has been influenced author contributed in “Nature” journal, who produced 54 articles with having h-index 41 with 17031 citations and ranked in first place. It is identified that distribution number of references is gradually decreased year by year. In geographical distribution articles, United States of America has contributed highest number of 5815 articles with 31.07%. Majority of the participants are from University of California with 980 (7.25%) articles. The maximum number of 4719(34.96%) records is Editorial Materials which is more than one-fourth of total publications. The word “Expression” was most occurred keyword in 359(2.65%) articles. Impact Factor of the previous year (2017) is 25.95 and five-year impact factor is 33.70. The future trend of growth of research articles in “Nature” journal may take increasing for upcoming years

A Context-Responsive LSTM based IoT Enabled E- Healthcare Monitoring System for Arrhythmia Detection

Detecting Arrhythmia, a life-threatening cardiac condition, in real-time is crucial for timely intervention and improved healthcare outcomes. Traditional manual methods for Arrhythmia detection using Electrocardiogram (ECG) signals are error-prone and resource-intensive. To address these limitations, this paper presents an automated system based on the Context Responsive Long Short-Term Memory (CR-LSTM) model for real-time Arrhythmia classification. The system leverages IoT technology to continuously monitor vital signs and effectively combines contextual information with temporal sensor data to accurately discern different types of Arrhythmias. The CR-LSTM model achieves an impressive accuracy of 99.72% in multiclass classification of Arrhythmias, making it a promising solution for dynamic healthcare settings and proactive personalized care

Literature Survey of SAR Algorithm in Photovoltaic System

Every solar energy harvester systems have got two sources of energy loss: the MPPT circuit and the dc–dc converter. To increase the efficiency of the PV energy harvester, the energy losses from the MPPT circuit and the dc–dc converter need to be minimized. Here a new MPPT algorithm called successive approximation register is introduced. This MPPT algorithm has got a power down mode and a fast tracking time, to achieve low power consumption and energy savings. With this MPPT algorithm energy losses from the MPPT circuit can be minimized and this technique can be greatly applicable to low power application systems mainly as well as for high power application.DOI:http://dx.doi.org/10.11591/ijece.v4i2.455

Ensemble of Homogenous and Heterogeneous Classifiers using K-Fold Cross Validation with Reduced Entropy

Chronic kidney disease (CKD) affects millions of people worldwide, greatly reducing their quality of life and creating serious economic, social, and medical problems. Some automated diagnosis methods can detect chronic renal disease. In-depth studies on data mining techniques have recently focused on accuracy in the diagnosis of chronic renal illnesses, either by taking advantage of the disease's simplicity or doing feature selection in addition to pre-processing. In order to handle the unbalanced dataset in this work, Synthetic Minority Over Sampling Technique (SMOTE) is used during pre-processing. For this investigation, 400 data from the publicly accessible UCI machine learning (ML) repository are used. For the implementation, both homogeneous and heterogeneous ensemble classifiers which combine two separate classifiers have been used. Different machine learning (ML) techniques, such as the Classification and Regression Tree (CART), Adaboost classifier, Decision Tree (DT), Reduced Error Pruning Tree, Alternating Decision Tree, and Random Forests Algorithm and their ensembles with a significant reduction in entropy, are used to perform the classification. With a 99.12% accuracy rate and a 99.10% f1 score, the homogeneous classifier Adaboost-Random Forest outperforms other models in the prediction of CKD

Implementation of Driver Software of Trailer Module Chip

The aim of the project is to develop a driver software for UJA1076A SBC in embedded C using IAR Embedded Workbench and integrate the driver software with application software of Trailer module. Currently MC33903 system basis chip from Freescale is used in Trailer Module. As an initiative to reduce the material cost for the Trailer module product, a lower price SBC NXP UJA1076A has been used. Also due to the fact that the newly proposed SBC has less number of operating modes and registers to configure, it helps in making the driver software much more simpler, thus reducing the risk of hidden issues in the otherwise complex design and code of the current SBC driver software

Dielectric relaxation and molecular interaction investigation of glycolic acid-water mixture using time domain reflectometry

The complex spectra of glycolic acid (GA) and water mixture have been measured by time domain reflectometry (TDR) in the frequency range 10 MHz to 30 GHz at various temperatures for entire concentration. Dielectric relaxation time (τ), static dielectric constant (ɛ0) and dielectric permittivity at low frequency (ɛʹ) and at optical frequency (ɛʺ) have been determined from measured complex spectra (ɛ*) using non-linear square fit method. Conductivity, Kirkwood and effective Kirkwood correlation factor of mixture calculated from the determined dielectric parameters have been used to find the alignment of dipoles between molecules. Thermodynamic parameters enthalpy, entropy and Gibb’s free energy have been determined which enable the direction of reaction. Excess permittivity of glycolic acid-water mixture has also been determined which confirms the molecular interaction. Macroscopic parameters such as density and viscosity of mixture have been determined at room temperature. FTIR spectral characterization concedes the solute-solvent interaction