Vertical processing of integer group-data streams.

1998 ◽  
Vol 34 (3) ◽  
pp. 426-447
Author(s):  
Ya. E. Romm
Keyword(s):  
Data Streams ◽  
Group Data ◽  
Vertical Processing

The Estimation of prostate specific antigen (PSA) concentrations in patients with prostatitis by fully automated ELISA technique.

2020 ◽  
Vol 3 (11) ◽  
pp. 1100-1104
Author(s):  
Hussein Naeem Aldhaheri ◽  
Ihsan Edan AlSaimary ◽  
Murtadha Mohammed ALMusafer
Keyword(s):  
Personal Information ◽  
Receptor Gene ◽  
Specific Antigen ◽  
Gene Clusters ◽  
Control Group ◽  
P Value ◽  
Group Data ◽  
Elisa Technique ◽  
And Control

      The Aim of this study was to determine Immunogenetic expression of  Toll-like receptor gene clusters related to prostatitis, to give acknowledge about Role of TLR in prostatitis immunity in men from Basrah and Maysan provinces. A case–control study included 135 confirmed prostatitis patients And 50 persons as a control group. Data about age, marital status, working, infertility, family history and personal information like (Infection, Allergy, Steroid therapy, Residency, Smoking, Alcohol Drinking, Blood group, Body max index (BMI) and the clinical finding for all patients of Prostatitis were collected. This study shows the effect of PSA level in patients with prostatitis and control group, with P-value <0.0001 therefore the study shows a positive significant between elevated PSA levels and Prostatitis.

Improved Macro-clusters generation using Top-k shared Micro-clusters in Data Streams

2017 ◽  
Vol 7 (10) ◽  
pp. 52
Author(s):  
LAKSHMI PRANEETHA
Keyword(s):  
Real Time ◽  
Data Streams ◽  
Bloom Filter ◽  
Scientific Applications ◽  
Pruning Algorithm ◽  
Density Data ◽  
Data Points ◽  
Short Time ◽  
Information Streams

Now-a-days data streams or information streams are gigantic and quick changing. The usage of information streams can fluctuate from basic logical, scientific applications to vital business and money related ones. The useful information is abstracted from the stream and represented in the form of micro-clusters in the online phase. In offline phase micro-clusters are merged to form the macro clusters. DBSTREAM technique captures the density between micro-clusters by means of a shared density graph in the online phase. The density data in this graph is then used in reclustering for improving the formation of clusters but DBSTREAM takes more time in handling the corrupted data points In this paper an early pruning algorithm is used before pre-processing of information and a bloom filter is used for recognizing the corrupted information. Our experiments on real time datasets shows that using this approach improves the efficiency of macro-clusters by 90% and increases the generation of more number of micro-clusters within in a short time.

PENELITIAN DAN PENGEMBANGAN SENSOR AROMATIK SEBAGAI ALAT DETEKSI ALKOHOL PADA PARFUM DAN WEWANGIAN UNTUK AUTENTIKASI PRODUK PARFUM HALAL

2017 ◽  
Vol 18 (2) ◽  
pp. 302-322
Author(s):  
Fajar Hardoyono
Keyword(s):  
Sensor Array ◽  
Principal Component ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Response Patterns ◽  
Data Recording ◽  
Analysis Method ◽  
Sample Group ◽  
Array Pattern ◽  
Group Data

Abstract: The development of aromatic sensor array instrument for the detection of alcohol in perfume. The research was conducted by developing the sensor array using 8 sensors made of metal oxide semiconductor. The sensor types used in this study consisted of TGS 813, TGS 822, TGS 2600, TGS 826, TGS 2611, TGS 2620, TGS 2612 and TGS 2602. Response patterns of 8 sensors formed a sensor array pattern used to detect the aroma of 2 groups of samples perfume made from the essential oil of ginger. The first sample group is pure ginger atsiri oil without mixed alcohol. The second sample group was made from the ginger atsiri oil mixed with alcohol with a level of 0.02 M. The results of the data recording show that the developed instrument is able to dissect the first sample group with the second sample group. Data analysis using principal component analysis method (PCA shows that the instrument is able to distinguish the contaminated alcohol perfume group 0.2 M with the alcohol-free perfume group with 100% accuracy. Keywords: Sensor Aroma, Perfume.

The Effect of Reflexology on Labor Pain and Length Among Primiparous Women: A Randomized Controlled Trial

2018 ◽  
Vol 7 ◽  
Author(s):  
Azita Kamjoo
Keyword(s):  
Controlled Trial ◽  
Intervention Group ◽  
Active Phase ◽  
Labor Pain ◽  
Control Group ◽  
Singleton Pregnancy ◽  
Group Data ◽  
Significant Difference ◽  
Labor Length ◽  
Primiparous Women

Background: Pain control is considered as the key issue in modern midwifery. Along with medical painkillers, reflexology is viewed as a non-medical and noninvasive method. Hence, we aimed to investigate the effect of reflexology on the intensity of pain and length of labor. Materials and Methods: In this clinical trial, participants included 240 Iranian primiparous women with term and singleton pregnancy. Having a 3-4 cm cervical dilatation once they visited the hospital. Through a convenient sampling method, they were selected and then randomly divided into two groups. In the intervention group, reflexology was performed, and the intensity of pain during the active phase of labor along with the length of labor in the active phase was measured by visual analog scale (VAS) and compared with the control group. Data were analyzed using descriptive statistics, t-test, and Mann-Whitney U-test. Result: Data analysis showed a statistically significant difference between the intensity of pain in the 5-7 and 8-10 cm dilatation in the two groups (P=0.01). Moreover, the labor length in the active phase was found to be significantly shorter in the intervention group (P<0.001). Conclusion: It appears that reflexology can lead to a reduction in the pain and length of labor. Therefore, through instructing this technique, a goal of midwifery, which is reducing labor pain and its length can be achieved. Keywords: Reflexology, Labor Pain, Labor Length, Primiparous Women

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