Miracle-dz/UniFAR-FTUs huggingface dataset:
COMPARISON OF TWO DIFFERENT DOSES OF DEXMEDETOMIDINE WITH BUPIVACAINE IN PAEDIATRIC CAUDAL ANESTHESIA FOR INFRAUMBILICAL SURGERIES: A RANDOMIZED DOUBLE BLIND CLINICAL STUDY

Objectives: Caudal epidural analgesia is one of the most commonly performed regional techniques in paediatric anaesthesia for intra and post-operative analgesia.Various adjuvant like α-2 agonists, ketamine, opioids etc. have been used to prolong the caudal analgesia. With favourable results dexmedetomidine, has been popularly used. Here we intend to study two different doses, 1μg/kg which has been proved to increase analgesia duration in comparison with0. 5μg/kg dexmedetomidine as an adjuvant. Methods: Sixty children (aged 6months6years) posted for infraumbilical surgeries were randomly assigned in two groups. Group A (30) received caudal block 1ml/kg of 0.25% bupivacaine with 1 μg/kg dexmedetomidine and Group B (30) received caudal block 1ml/kg of 0.25% bupivacaine with 0. 5μg/ kg dexmedetomidine. After giving premedication with 0.8 mg / kg of oral midazolam 30 minutes prior to surgery, patients were induced with propofol 2mg/kg and infusion 100μ/kg/hr started. Caudal block was performed and appropriate dosage of drug given depending on group. Patient’s heart rate, oxygen saturation and blood pressure were recorded every 5 minutes intra-operatively and postoperatively every 15 minutes for next 2 hours and then every 30 minutes until the requirement of first rescue analgesia. Total duration of analgesia and mean pain score were noted. Results: Intra-operatively there was no statistical significant difference in the heart rate, systolic, diastolic and mean arterial blood pressure between the two groups at any time interval. The total mean duration of analgesia in group A was significantly more compared to group B. Mean pain scores in the postoperative period were comparable till 660 min but later, the mean pain scores were higher in group B in comparison to group A from 660 min to the time of rescue analgesia , which was statistically significant. Other side effects were comparable in both the groups. Conclusion: Caudal dexmedetomidine (1μg/kg) with 0.25% bupivacaine for paediatric infraumbilical surgeries achieved significant post-operative pain relief compared to caudal dexmedetomidine (0.5μg/kg) with 0.25% bupivacaine. However, 0. 5μg/kg dexmedetomidine had lesser side effects in comparison to 1μg/kg dexmedetomidine. Vinod Hosalli et al., Comparison of two different doses of Dexmedetomidine. Intl. J Clin. Diag. Res. 2016;4(3):III www.ijcdr. net Author Affiliations: 1,2 & Dept of Anaesthesiology, S N Medical college, Navanagar, Bagalkot.
Life Table parameters of the Tomato Leaf Miner, Tuta absoluta (Meyrick) and Potato tuber moth Phthorimaea operculella Zeller (Lepidoptera: Gelechiidae) on tomato plants in Egypt

The life history of Tuta absoluta and Phthorimaea operculella was studied on tomato plants Lycopersicon esculentum (var. Marwa) in the laboratory. The life cycle and adult longevity of females T.absoluta was significantly shorter than that of females P. operculella reared on the tomato host plant (24.1 ,13.6 days) and (31.7 , 15.2 days) respectively. The total number of eggs deposited by female of T.absoluta was nearly 1.5 times more than that of P. operculella on the same host plant . The net reproductive rate (Ro) was nearly two times more in T.absoluta than P. operculella. Similarly the finite rate of increase (λ) and the intrinsic rate of increase (rm) showed the same higher trends in T.absoluta (λ=1.19), (rm=0.17) than that of P. operculella, (λ=1.13), (rm=0.12) respectively. The sex ratio of the progeny of T.absoluta and P. operculella was in favor of females.
A Survival Study on Density Based Clustering Algorithms for Large Spatial Databases in Data Mining

Density based clustering algorithm is the primary methods for clustering in data mining. The clusters which are formed based on the density are easy to understand. It does not limit itself to the shapes of clusters. This paper gives a survey of the existing density based algorithms namely DBSCAN, VDBSCAN, DVBSCAN, ST-DBSCAN and DBCLASD based on the essential parameters needed for a good clustering algorithm. Here analyze the algorithms in terms of the parameters for creating meaningful clusters.
PARAMETRIC COMPARISON OF DATA MINING TOOLS

Presently, to assemble the large volume of dataset at lesser cost, storage technology and data collection has made it possible for any organisation.In order to obtain the useful and convenient information, it is necessary to utilize the stored data for any further use. This overall leads to data mining concept.Today, Data mining is a new and important area in human life. Data mining plays an important role in various fields like business, education, finance, healthsector etc.The main motive of Data mining is to examine the data from different perspective then label it and encapsulate it in order to acquire useful information by using their various new techniques and tools.Today, the various data mining tools available that researchers needs for evaluating their data. In this paper, we overviewed different tools includes in data mining like, WEKA, Rapid Miner, and KNIME. This paper presents pros and cons of each tools and also compare their parameters.By this comparitive study, it can be made easy for the researchers to make a best selection of the tool.
Challenges and Types of Home Automation Systems

— Automation is the use of management systems and information technology to manage equipment, industrial machinery and processes, reducing the necessity for human intervention. Within the scope of industrial enterprise, automation may be a step beyond mechanization. Home automation is use of one or additional computers to manage basic home functions and options automatically and generally remotely. An automated house is generally referred to as a smart home. This paper discusses some of the different types of smart homes build up using various technologies.
Evaluation of Equalized Cluster Selection Routing Protocol in Wireless Sensor Network

 Abstract — Wireless Sensor Network is a type of wireless networking in which various sensors deployed in an environment or field where human involvement is not possible or difficult. In WSN all the sensors works in coordination to monitor and control the environment. To perform this WSN requires a efficient routing protocol. In this paper the Equalized Cluster Selection routing protocol in wireless Sensor Network called as ECHERP (Equalized Cluster Head Election Routing Protocol) is presented. In this Protocol BS uses a Gaussian Elimination algorithm which selects the nodes to be a CH in network. It increases the network lifetime by using the balanced clustering. In this paper simulation result has been discussed by using NS-2 Simulator for 100 nodes and QoS parameter like Delay, Throughput, Packet Drop Ratio and Energy Consumption has been derived to evaluate the performance of Protocol.
Auto Code Generation using Classified Source Code Archives

— The Auto code generation system helps the programmers to write the code easily. The system accepts a text input as the user requirement and returns back the program code from the existing corpus. Thereby the programmers can save their time by not searching throughout the web for their requirement which might be new for them. Initially the code repositories are classified into various categories. This classification later helps in retrieving the code quickly. Once the user types the text query the category of the text is predicted. The category predicted is used to map into the code corpus which is kept already categorised. The text similarity is computed with the program code contents which are in the particular category. Thereby the code with highest similarity is returned to the user. Hence the system help improve the programmers productivity.
Real Time Toll Rate Determination Using Image Processing & Network Database

: — The public or private road for which toll is decided for the way is called toll road also called turnpike or toll way. The charge of the toll depends upon various vehicle types, weight or number of axles because toll rate is proportional to the number of axles to have a vehicle. It is difficult to calculate the number of a vehicle by a toll booth operator so proposed an automatic system for detecting axles by Hough transform method for detecting a circle. According to this method the toll rate can be determined in a toll way. This system must be able to determine the fix amount for toll use Weather Sensor for calculating the average rain on the toll road. Also update the total number of vehicle and toll rate on network database daily, weekly and monthly.
Implementation of Hierarchical Clustering with Multiviewpoint-Based Similarity Measure

— Clustering is one of the most important data mining or text mining algorithm that is used to group similar objects together. The aim of clustering is to find the relationship among the data objects, and classify them into meaningful subgroups. The effectiveness of clustering algorithms depends on the correctness of the similarity measure between the data in which the similarity can be computed. This paper focus on implementation of Agglomerative hierarchical clustering with Multiviewpoint based similarity measure for effective document clustering. The experiment is conducted over sixteen text documents and performance of the proposed model is analysed and compared to existing standard clustering method with MVS. The experiment results clearly shows that the proposed model Hierarchical Agglomerative Clustering with Multiview Point based Similarity Measure perform quite well.
Int. J. Biosci

The African giant prawn, Macrobrachium vollenhovenii is the most abundant and commercially viable of the prawn species in Cameroon. Preliminary investigation into its reproductive biology from a tropical freshwater environment (Yoke River), Southwest Cameroon was done from April 2011March 2012. The study also examined the physic-chemical parameters that prevailed in the river during the cycle as a means to determining conditions necessary for their culture. 1679 specimens (955 males and 724 females) were captured using local baited bamboo and wire mesh traps. The overall sex ratio during sampling was 1:0.76 (male to female) which differed significantly (P˂0.05) from the expected ratio of 1:1. A total of 203 berried females carrying 6,060,256 eggs (mean: 29,854 ± 798.94) were examined. The fewest eggs were 6,847 and the most 58,866. Average egg volume increased significantly (P< 0.05) during embryogenesis from 0.041 to 0.065 mm3 (58.5% increase). Positive correlations existed between body weight, total length, carapace length, ovary weight and fecundity (0.94, 0.87, 0.85 and 0.97 respectively) with the strongest relationships occurring between fecundity and body weight (0.94) and fecundity and ovary weight (0.97). Spawning occurred during the peak rainy season (July – September) which corresponded generally with periods of lower temperature, higher pH and dissolved oxygen. These findings indicate that M. vollenhovenii can be successfully cultured in captivity. Efforts should be intensified to document and fully exploit its reproductive potential in other regions so that they could be bred as an African equivalent of the now widely cultured Macrobrachium rosenbergii. * Corresponding Author: B.O. Oben  obenben2001@yahoo.co.uk International Journal of Biosciences | IJB | ISSN: 2220-6655 (Print), 2222-5234 (Online) http://www.innspub. net Vol. 7, No. 3, p. 31-41, 2015
Survey of the P2P botnet detection methods

: Botnets are one of the important problems of the Internet. There are many proposals to detect botnets. The survey analyzes and compares significant proposals in the P2P based detection area. In the beginning, the work studies the previous surveys. Then, it classifies, compares, and discusses the proposals in the area. We conclude that P2P detection botnets ways significantly evolved. However, many open problems still exist.
Industrial Relation in Jammu and Kashmir: A Case of Cement Industry

There has been discussion regarding the dispute settlement of manufacturing industries world widely and in India but very scant attention have been paid for measuring the factors responsible for the causes of the disputes in the Cement industry in India and in particular to Jammu and Kashmir. The present endeavour focused on the industrial dispute scenario in Jammu & Kashmir state and with special emphasis on the causes of disputes and the impact of various demographic indicators on the causes of disputes in the cement industry in Jammu and Kashmir. The study been exploratory in nature uses both primary and secondary data to have a better understanding about the disputes and their scenario in Jammu & Kashmir. The study has employed a simple random sampling technique to collect the data from the respondents. The study found that over the period of time there has been gradual decline observed in the number of disputes in Jammu & Kashmir but it has been experienced from the statistics that Jammu division is showing the presence of more disputes than other districts of the state. In addition to this, the study highlighted the issues namely recruitment, promotion and wages as the responsible factor for the causes of disputes in cement industry in Jammu & Kashmir state. To judge the impact of demographic indicators namely age group, experience and qualification, it has been concluded for the results that there appears a statistically significant influence of these parameters. The analysis concludes that employees classify the disputes into two dimensions namely economic and noneconomic causes. The economic cause appears to be more strong reasons for the causes of disputes in the organisation than non-economic ones. To create a harmonious relationship in the organisations, the policy makers and management should take into consideration the people at younger age group with fair level of experience and qualification so as to make efficient output by utilization the most important assets of the organizations. The policy maker should take into consideration proper follow up for the disputes that come under the different acts and try to make the settlement machinery more effective and powerful so that the disputes are settled very effectively and efficiently.
Innovation of IT Outsourcing

: Outsourcing has become a very common thing now a day and many clients are outsourcing their IT capabilities to different vendors. Different clients and vendors are looking in to different ways which can innovate the outsourcing process. Recently the outsourcing industry has gain a remarkable growth. The main purpose of outsourcing is to save cost but now clients are willing to pay more in order to achieve more value. There are a number of challenges which blocks the innovation in IT outsourcing, challenges could be both internal and external. Sometimes the client companies tends to use the ad hoc approach to achieve innovation. There are different steps which are needed to be followed in order to achieve innovation in the outsourcing process.
Effect of Paratelphusa Hydrodromous hemolymph as antimicrobes

In the present study, effort has been made to find the antimicrobial activity of haemolymph of freshwater crab, Paratelphusa hydrodromous. The haemolymph was tested for antimicrobial assay by disc diffusion method against clinical pathogens. Five bacterial species, namely, Escherichia coli, Klebsiella pneumonia, Proteus mirabilis, Pseudomonas aeruginosa, Staphylococcus aureus, and five fungal strains, namely and Aspergillus flavus, Aspergillus fumigatus, Aspergillus niger, Rhizopus sp. , and Mucor sp. , were selected for the study. The result shows a strong response of haemolymph against the clinical pathogens which confirms t he immune mechanis m of the freshwater crab. This reveals the development of antimicrobial compounds in the haemolymph will provide an opportunity for the production of new compounds with natural activit ies as an alternative drug to antibiotics.
Low Complexity Sphere Decoding for V-BLAST Spatial Multiplexing MIMO

— With the tremendous growth in the field of communication, wireless system requires significantly higher spectral efficiency. The solution of this problem is MIMO Spatial Multiplexing (SM). In this paper we compare performance of different methods for decoding multiple input-multiple output (MIMO) transmission System incorporating VBLAST-SM, which includes sphere decoding (SD), zero forcing (ZF), SVD-SD and maximum likelihood (ML) techniques.
14. OA_Neki_2_3_17

Background: Microalbuminuria is an early, less expensive and easily available parameter of detecting microvascular angiopathy of kidneys in diabetic patients and angiopathy may also involve retinal, coronary, cerebral and peripheral vessels in these patients. The present study was done to find the association of microalbuminuria with intimal medial thickness of the superficial femoral artery in type 2 diabetes mellitus. Methods: The study included two groups of 100 individuals each. Group 1 having type 2 diabetes mellitus and group 2 non-diabetic control persons. Statistical analysis was done by standard statistical methods. It revealed significant association of microalbuminuria with intimal medial thickness of superficial femoral artery in type 2 diabetes mellitus. Results: Mean age of group 1(diabetic) was 50.73+SD8.48 yea rs. Mean age of group 2(non-diabetic) was 49.57+SD 7.67 7 years. Majority of patients were in age group 4050 years in both group 1 and group 2. Mean microalbuminuria in group 1 (diabetic), was 214.74+71.174 and that i n group 2 (non diabetic), was 41.500+23.837. Difference in me an microalbuminuria, in both groups was highly sign if cant (p<0.001). Mean intimal media thickness (IMT) of su perficial femoral artery( SFA) in group 1 (diabetic ), patients was 0.0836+0.0167 cm and that of group 2 (non diabe tic), was 0.059 + 0.00464 cm. Difference in mean IM T of SFA, in both groups was highly significant(p<0.001) . Conclusion: There is highly significant correlation between microalbuminuria and intimal-medial thickness (IMT) of superficial femoral artery (SFA) in type 2 diabetes mellitus.
MASSIVE MIMO AND MILLIMETRE WAVE COMMUNICATIONS FOR 5G CELLULAR NETWORKS

In this paper we discuss about 5G technologies. Due to 4G cannot be accommodated such as more energy consumption and spectrum crisis. In wireless system, the demand is enhanced for more data rates for these we introduce 5G technologies it may be implemented in 2020. If we use millimetre wave spectrum bands the capacity increases drastically. The millimetre wave communication systems and existing other communications are having some differences. The applications of millimetre wave systems in 5G technologies are seen and also discuss the wireless backhaul, cellular access and small cell access.
Comparative study of visceral adiposity index and lipid profile with Body Mass Index in adolescent and young adults

Background: Obesity is associated with increased rate of mortality and morbidity if untreated. Obesity is a health hazard it required attention towards adolescent and adult age group. Generally, body fat is distributed into two main compartments that are subcutaneous adipose tissue and visceral adipose tissue. Waist Hip Ratio measures the subcutaneous adipose tissue, determination of visceral adiposity will further helpful for determination of cardiovascular disease. Methods: The study comprised of 120 subjects, of these adolescents comprised of 60 healthy adolescent childrens. The adults comprised of 60 healthy individuals. In all the subjects, Height was estimated in centimetres and Weight was measured in kilogram measured and BMI was calculated. The waist hip ratio and visceral adiposity index was calculated. In all the subjects, venous blood was collected from all the subjects for lipid profile estimation. Results: In present study BMI more than 25 have soon increased waist hip ratio and visceral adiposity index value than BMI less than 25 and it’s statically significant in both adolescent and adult group. It is also reported that BMI more than 25 have increased level of mean serum triglycerides, serum total cholesterol, LDL cholesterol and VLDL the increase was statistically significant. The mean serum HDL cholesterol was significantly decreased in BMI>25 group when compared with BMI<25. Conclusions: It was concluded that different age groups of adolescent and adult, appropriate methods should be planned specifically for adolescent and adult age group. Regular educational sessions are needed to make changes adolescent and adults toward obesity.
A Study on Privacy Preserving Data Mining: Techniques, Challenges and Future Prospects

: Data mining produces a large amount of data that needs to be analysed in order to extract useful information from it and gain knowledge. This data is vulnerable to data hackers and rough employees to take advantage of the situation and misuse the data. Hence privacy preservation is an important concern in data mining as secrecy of sensitive information must be maintained while sharing the data among different un-trusted parties. Privacy preserving data mining (PPDM) protects the privacy of sensitive data without losing the usability of the data. Various techniques have been introduced under PPDM to achieve this goal. This study describes about various techniques of privacy preserving data mining. It also analyzes their advantages and limitations and comes up with a conclusion that a single technique does not exceed all the parameters such as performance, data utility, level of uncertainty, resistance to data mining algorithms and complexity. Rather an algorithm may perform better than other algorithms on certain parameters .
A Model for Forecasting Tourists Arrival in J&K, India

Data Mining is a method for extracting patterns from historical data. In this paper, we forecast the number of tourists in J&K state for the next five years that should totally depend upon the historical time series data of tourists in J&K state. For this, Exponential Smoothing model and IBM SPSS Modeler 16.0 data mining tool are used. Exponential Smoothing is a popular forecasting method that is used to predict the immediate future for time series data. The purpose of this paper is to forecast the number of tourists in advance for the J&K state so that the tourism department shall be prepared in advance to provide essential services to the forthcoming tourists.
Isolation and identification of chemical compounds from ethyl acetate fraction of Pohpohan (Pilea trinervia L.) leaves

Plant pohpohan (Pilea trinervia L.) with synonym Pilea melastomoides (Poir.) Bl. is a plant that grows upright with a height of 2 m. Pohpohan generally grows in the mountains. Pohpohan can also grow in moist areas, both containing little or much humus. P. trinervia can be cultivated by cuttings or using seeds. The leaves are very soft, smell nice, and eaten as a salad. [1,2] Trend “back to nature” indicates that the use of natural materials as a drug is getting stronger. One of the causes is the side effects caused by medicinal plants are almost nonexistent when compared with chemical drugs. [3] Some traditional medicine is the forerunner of modern medicine. Plants that have long been used as traditional medicines for certain diseases, although the dosage