scholarly journals Automated Real-Time Surveillance Using Health Indicator Data Received at Different Time Intervals

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Joseph Lombardo ◽  
Julie Pavlin ◽  
Christopher Cuellar ◽  
Yevgeniy Elbert ◽  
Jean-Paul Chretien

An efficient bull tracking system is designed and implemented for tracking the movement of any bull from any location at any time. The designed device works using GPS and GSM technology for bull tracking. Arduino microcontroller is used to control the GPS and GSM module. The device is embedded on a bull whose position is to be determined and tracked in real time. The microcontroller is used to control the GPS module to get the coordinates at regular time intervals. The GSM module is used to transmit the updated coordinates of bull location to the client via SMS and mobile application. When the SMS is received, the app will automatically read the SMS and update the location of the bull to the user. This device will help the user to always keep an eye on their bull.


2020 ◽  
Vol 14 (01) ◽  
pp. 80-88
Author(s):  
Amal E Saafan ◽  
Ashraf Abobaker ◽  
Mohamed S Abbas ◽  
Ahmed El-Gendy

Introduction: In Egypt, 15% of the populations are suffering from chronic hepatitis C especially genotype 4. Sofosbuvir was approved by FDA in December 2013 for treatment of HCV genotypes 2 and 3 in combination with Ribavirin, and for genotypes 1 and 4 in combination with Peg-IFN. Recently, polymorphism of different genes and plasma levels of IL-6 were utilized for better prediction of HCV clearance. This study aimed at early prediction of the efficacy of HCV treatment with Sofosbuvir (Sovaldi) and comparing the antiviral efficacy of dual and triple Sovaldi combination therapy. Methodology: Blood samples were collected from 100 HCV positive patients and detected by real time PCR at three time intervals. SNP genotyping of INFL-4 gene was estimated by using real-time PCR with predesigned primers and Taqman probes. IL-6 serum level was estimated before, during and after the end of the treatment using ELISA assay based on human IL-6 KIT. Results: SNP genotyping of INFL-4 gene showed that 13.1% of patients carried ∆G/∆G, 30.4% patients had TT/TT and 56.5% patients possessed heterozygote allele ∆G/TT. Clinical data displayed that 13 patients were got relapsed at SVR 12. Serum level of IL-6 was noticed higher in HCV patients than healthy ones. Noteworthy, it was increased during treatment then decreased to a minimal level than begining of treatment. Conclusion: SNP in INFL-4 gene has displayed no effect in response to Sofosbuvir. Dual therapy had the same effect like triple therapy, so interferon could be withdrawn from the treatment regimen.


2004 ◽  
Vol 1 (1) ◽  
pp. 67-93 ◽  
Author(s):  
José María Jiménez-Cano ◽  
Juan Manuel Hernández-Campoy

The aim of this paper is to report the results of a study of Murcian speech in order to measure the increasing diffusion of standard Castilian features from northern Peninsular Spanish over Murcian Spanish, a traditionally non-standard region. Following the methodology used in similar studies and a real-time approach, we measured the level of standardization of people interviewed in radio broadcasts in the last 26 years. A detailed analysis correlating linguistic variables with social variables and time intervals allowed us to compare the sociolinguistic behavior of the different social groups in terms of standardization (adoption of Castilian Spanish features) or non-standardization (maintenance of local Murcian features) and their tendencies in diachronic terms.


Author(s):  
Yeo Jin Kim ◽  
Min Chi

We propose a bio-inspired approach named Temporal Belief Memory (TBM) for handling missing data with recurrent neural networks (RNNs). When modeling irregularly observed temporal sequences, conventional RNNs generally ignore the real-time intervals between consecutive observations. TBM is a missing value imputation method that considers the time continuity and captures latent missing patterns based on irregular real time intervals of the inputs. We evaluate our TBM approach with real-world electronic health records (EHRs) consisting of 52,919 visits and 4,224,567 events on a task of early prediction of septic shock. We compare TBM against multiple baselines including both domain experts' rules and the state-of-the-art missing data handling approach using both RNN and long-short term memory. The experimental results show that TBM outperforms all the competitive baseline approaches for the septic shock early prediction task. 


Author(s):  
Aia Haruvi ◽  
Ronen Kopito ◽  
Noa Brande-Eilat ◽  
Shai Kalev ◽  
Eitan Kay ◽  
...  

ABSTRACTThe goal of this study was to learn what properties of sound affect human focus the most. Participants (N=62, 18-65y) performed various tasks while listening to either no background sound (silence), popular music playlists for increasing focus (pre-recorded songs), or personalized soundscapes (audio composed in real-time to increase a specific individual’s focus). While performing tasks on a tablet, participants wore headphones and brain signals were recorded using a portable electroencephalography headband. Participants completed four one-hour long sessions, each with different audio content, at home. We successfully generated brain-based models to predict individual participant focus levels over time and used these models to analyze the effects of various audio content during different tasks. We found that while participants were working, personalized soundscapes increased their focus significantly above silence (p=0.008), while music playlists did not have a significant effect. For the young adult demographic (18-36y), silence was significantly less effective at producing focus than audio content of any type tested (p=0.001-0.009). Personalized soundscapes enhanced focus the most relative to silence, but professionally crafted playlists of pre-recorded songs also increased focus during specific time intervals, especially for the youngest audience demographic. We also found that focus levels can be predicted from physical properties of sound, enabling human and artificial intelligence composers to test and refine audio to produce increases or decreases in listener focus with high temporal (millisecond) precision. Future research includes real-time adjustment of sound for other functional objectives, such as affecting listener enjoyment, calm, or memory.


2019 ◽  
pp. 72-77
Author(s):  
S. M. Zakharov

The time and spectral analysis of blood pressure signals (BP of systolic, diastolic, pulse) obtained in real time and reflecting the work of the heart at short time intervals is presented. As a time interval, a sequence of one hundred cardiac cycles was chosen. The main parameters of variability are determined. The proposed method of analysis is an analogue of heart rate variability (HRV), based on the study of RR cardiointervals. Spectral analysis of blood pressure signals shows differences in the degree of orderliness or disorder of individual frequencies or the spectrum as a whole. The presented methodology will allow to reveal further features for use in the diagnosis of various pathologies.


2020 ◽  
Vol 32 (2) ◽  
pp. 238
Author(s):  
R. Singh ◽  
S. Saini ◽  
S. Ansari ◽  
S. Jamwal ◽  
D. Malakar

The present study was carried out to isolate mesenchymal stem cells (MSCs) from adipose tissue of cattle (Bos indicus), characterise them, and apply them for the treatment of mastitis and metritis in the cow. Cattle MSCs were isolated from adipose tissue near the loin region of cow. Isolated adipose tissue was subjected to enzymatic digestion using 2% collagenase with agitation at regular intervals. The cells obtained after digestion were resuspended in cell culture flasks containing growth enriched medium and cultured under standard culture conditions. Alkaline phosphatase staining was used as one of the parameters to confirm cultured putative MSCs. Bovine Ad-MSCs were further characterised using real time-PCR by amplification of MSC-specific markers: CD73, CD90, and CD105 as positive markers and CD34, CD45, and CD79a as negative markers. Immunocytochemistry showed the presence of CD73, CD90, and CD105 on the cell surface. Three groups-control (C), local (L), and intravenous (IV)-with 6 cows suffering from mastitis were taken in each group and subjected to MSC transplantation through local and intravenous routes. Control group animals were subjected to antibiotic treatment only. Similarly, another three groups were taken with 6 cows in each group suffering from metritis. Post-transplantation wound healing, tissue repair, and reduction in inflammation were monitored for 26 days, at different time intervals; that is, after Days 1, 3, 7, and 15. Blood samples were also collected from animals at the same time intervals for real time-PCR. A similar examination was also done in metritis groups along with the analysis of the reduction in turbidity of cervical fluid at the abovementioned time intervals. Real time-PCR was performed to determine relative expression of genes for proliferative factors, anti-inflammatory cytokines, and antimicrobial peptides on cells isolated from blood collected at different time intervals. Gene expression in the local group of mastitis subjected to MSC injection was significantly higher than that of the IV and control group. The somatic cell count declined in both local and IV groups compared with the control group. Whereas the expression of the same genes in the IV group of metritis was significantly higher than that of the local and control groups of cows. The turbidity of cervical fluid and mucus was reduced in the IV group compared with the local group. In conclusion, we demonstrated the healing potential of MSCs in a cow model via MSC injection. Promising results were obtained in curing mastitis in both local and IV groups, whereas healing in the case of metritis was significantly higher in the IV group compared with both the control and local groups of cows. The study indicates the potential use of MSc for treatment of mastitis and metritis in cattle through wound healing and decreasing microbial infection.


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