scholarly journals Association of risk factors: WSSV proliferation in the shrimp farms of south-west coastal region of Bangladesh

2019 ◽  
Author(s):  
H. M. Rakibul Islam ◽  
Masud Hossain Khan ◽  
Debashis Roy ◽  
Md. Mahmudul Alam ◽  
Khan Kamal Uddin Ahmed ◽  
...  
Keyword(s):  
Risk Factors ◽  
Correlation Coefficient ◽  
White Spot Syndrome Virus ◽  
Management Practice ◽  
Pearson Correlation ◽  
Coastal Region ◽  
Culture Method ◽  
Community Based ◽  
Shrimp Culture ◽  
Shrimp Farms

In shrimp culture, various diseases, white spot syndrome virus (WSSV) in particular, has been emerging as a serious constraint affecting shrimp culture in Bangladesh. In this study, effort has been given assessing the risk factors for WSSV outbreak under which 72 farms were investigated belonging 4 Upazilas of Bagerhat (Kochua, Rampal, Fakirhat) and Khulna (Paikgacha) district of Bangladesh from January to June 2011. Major scenario depicted improved traditional culture method. PCR test has been carried out to confirm WSSV infection. About 20 factors were considered in assessing the association of WSSV outbreak. Study revealed significant correlation with some factors like accessibility of cattle (r=0.630, p≤.01) and linked up with other ghers (r=0.754, p≤.01) within a cluster (Spearman’s rho correlation coefficient test). Pearson Correlation coefficient for salinity found to have significant correlation with the risk of WSSV infection (r= -0.727, p≤.01), followed by temperature (0.624, p≤.01) and average depth (-0.618, p≤.01), however, feeding kept 30.6% farms away from the outbreak followed by sludge removal (26.39% farms). On the contrary, uses of river water directly into the ghers pose 38.9% risk of being attacked which is absolutely nill and 1.4% for the underground and rain water respectively. Disease prone months found in March to June and out of the four upazilas, Fakirhat found to be less infected due to better management. Therefore, ensuring proper gher management practice, virus free Pl, awareness buildup at the farmer level and community based farm management development can act as preventive measures in reducing the risk of WSSV infection.

Scientific Substantiation of the Innovative Model of Catering for Cadet Corps Students

2020 ◽  
pp. 31-35
Author(s):  
Novikova ◽  
SP Romanenko ◽  
MA Lobkis
Keyword(s):  
Correlation Coefficient ◽  
School Environment ◽  
Developmental Disorders ◽  
Pearson Correlation ◽  
Statistical Significance ◽  
Regression Analyses ◽  
Healthy Nutrition ◽  
Innovative Model ◽  
Scientific Substantiation ◽  
Student’S T

Introduction: In the Russian Federation, much attention is traditionally paid to military education and training. A special place in its structure is occupied by the system of cadet classes and corps. A distinctive feature of the learning mode in such institutions is a combined effect of standard and specific factors of indoor school environment and intensive physical activity owing to sports, applied military and drill training. No evidence-based methods of establishing nutrient requirements of children in modern conditions of cadet corps have been developed so far, which predetermines the potential of transforming nutrition from a health-saving factor into a health risk factor. Our objective was to provide a scientific substantiation of the model of healthy nutrition for students of cadet-type educational establishments. Methods: The statistical significance of the correlation was evaluated using the Student’s t-test. Correlation and regression analyses were used to assess cause-and-effect relationships. The Pearson correlation coefficient (rxy) was used as an indicator of the strength of the relationship between quantitative indicators x and y, both having a normal distribution. Correlation coefficient (rxy) values were interpreted in accordance with the Chaddock scale. For the purpose of statistical modeling, the method of multiple linear regressions was used. Conclusions: We substantiated the innovative model of organizing healthy nutrition for students of cadet-type schools based on the correlation and regression analyses with determination of statistical significance of the studied characteristics. Its efficiency indicators include an increase in average functional capabilities of students by more than 10 % and a reduction in the probability of developmental disorders by more than 25 %.

Relationship between Invasive and Non-Invasive Hemodynamic Measures in Experimental Pulmonary Hypertension

2020 ◽  
Vol 16 (1) ◽  
pp. 47-53
Author(s):  
Vicente Benavides-Córdoba ◽  
Mauricio Palacios Gómez
Keyword(s):  
Heart Rate ◽  
Pulmonary Hypertension ◽  
Ejection Fraction ◽  
Right Ventricle ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Systolic Pressure ◽  
Control Group ◽  
Pearson Correlation Coefficient ◽  
Non Invasive

Introduction: Animal models have been used to understand the pathophysiology of pulmonary hypertension, to describe the mechanisms of action and to evaluate promising active ingredients. The monocrotaline-induced pulmonary hypertension model is the most used animal model. In this model, invasive and non-invasive hemodynamic variables that resemble human measurements have been used. Aim: To define if non-invasive variables can predict hemodynamic measures in the monocrotaline-induced pulmonary hypertension model. Materials and Methods: Twenty 6-week old male Wistar rats weighing between 250-300g from the bioterium of the Universidad del Valle (Cali - Colombia) were used in order to establish that the relationships between invasive and non-invasive variables are sustained in different conditions (healthy, hypertrophy and treated). The animals were organized into three groups, a control group who was given 0.9% saline solution subcutaneously (sc), a group with pulmonary hypertension induced with a single subcutaneous dose of Monocrotaline 30 mg/kg, and a group with pulmonary hypertension with 30 mg/kg of monocrotaline treated with Sildenafil. Right ventricle ejection fraction, heart rate, right ventricle systolic pressure and the extent of hypertrophy were measured. The functional relation between any two variables was evaluated by the Pearson correlation coefficient. Results: It was found that all correlations were statistically significant (p <0.01). The strongest correlation was the inverse one between the RVEF and the Fulton index (r = -0.82). The Fulton index also had a strong correlation with the RVSP (r = 0.79). The Pearson correlation coefficient between the RVEF and the RVSP was -0.81, meaning that the higher the systolic pressure in the right ventricle, the lower the ejection fraction value. Heart rate was significantly correlated to the other three variables studied, although with relatively low correlation. Conclusion: The correlations obtained in this study indicate that the parameters evaluated in the research related to experimental pulmonary hypertension correlate adequately and that the measurements that are currently made are adequate and consistent with each other, that is, they have good predictive capacity.

Comparison of Mammography and Ultrasonography for Tumor Size of DCIS of Breast Cancer

2019 ◽  
Vol 15 (2) ◽  
pp. 209-213
Author(s):  
Yu Wang ◽  
Jiantao Wang ◽  
Haiping Wang ◽  
Xinyu Yang ◽  
Liming Chang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Correlation Coefficient ◽  
Tumor Size ◽  
Ductal Carcinoma ◽  
Pearson Correlation ◽  
Dense Breast ◽  
Pathological Examination ◽  
Negative Group ◽  
The Difference

Objective: Accurate assessment of breast tumor size preoperatively is important for the initial decision-making in surgical approach. Therefore, we aimed to compare efficacy of mammography and ultrasonography in ductal carcinoma in situ (DCIS) of breast cancer. Methods: Preoperative mammography and ultrasonography were performed on 104 women with DCIS of breast cancer. We compared the accuracy of each of the imaging modalities with pathological size by Pearson correlation. For each modality, it was considered concordant if the difference between imaging assessment and pathological measurement is less than 0.5cm. Results: At pathological examination tumor size ranged from 0.4cm to 7.2cm in largest diameter. For mammographically determined size versus pathological size, correlation coefficient of r was 0.786 and for ultrasonography it was 0.651. Grouped by breast composition, in almost entirely fatty and scattered areas of fibroglandular dense breast, correlation coefficient of r was 0.790 for mammography and 0.678 for ultrasonography; in heterogeneously dense and extremely dense breast, correlation coefficient of r was 0.770 for mammography and 0.548 for ultrasonography. In microcalcification positive group, coeffient of r was 0.772 for mammography and 0.570 for ultrasonography. In microcalcification negative group, coeffient of r was 0.806 for mammography and 0.783 for ultrasonography. Conclusion: Mammography was more accurate than ultrasonography in measuring the largest cancer diameter in DCIS of breast cancer. The correlation coefficient improved in the group of almost entirely fatty/ scattered areas of fibroglandular dense breast or in microcalcification negative group.

scholarly journals Cardiovascular disease risk factors of ultra-Orthodox Jewish women in Israel: a comparison study

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
E Leiter ◽  
K L Greenberg ◽  
M Donchin ◽  
O Keidar ◽  
S Siemiatycki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
General Population ◽  
Secondhand Smoke ◽  
Smoke Exposure ◽  
Orthodox Jewish ◽  
Minority Population ◽  
Secondhand Smoke Exposure ◽  
Community Based ◽  
Increased Risk

Abstract Background Women from low socio-economic, culturally insular populations are at increased risk for cardiovascular disease (CVD). The ultra-Orthodox Jewish (UOJ) community in Israel is a difficult to access, rapidly growing low socio-economic, insular minority with numerous obstacles to health. The current study investigates CVD-related risk factors (RF) in a sample of OUJ women, comparing sample characteristics with the general population. Addressing the questions, 'Are UOJ women at increased risk for CVD?', 'Which RFs should be addressed beyond the general population's?', this study can inform public health initiatives (PHI) for this and similar populations. Methods Self-administered questionnaires completed by a cluster randomized sample of 239 women from a UOJ community included demographics, fruit, vegetables, and sweetened drink consumption, secondhand smoke exposure, physical activity (PA) engagement, and BMI. Population statistics utilized for comparison of demographic and cardiovascular risk factors were obtained from government-sponsored national surveys. Results Compared with the general population, UOJ women were less likely to consume 5 fruits and vegetables a day (12.7% vs. 24.3%, p&lt;.001) and more likely to consume &gt; 5 cups of sweetened beverages a day (18.6% vs. 12.6%, p=.019). UOJ women also reported less secondhand smoke exposure (7.2% vs. 51.4%, p&lt;.001) and higher rates of PA recommendation adherence (60.1% vs. 25.6%, p&lt;.0001) than the general population. Obesity was higher in UOJ women (24.3% vs. 16.1%, p&lt;.0001). Conclusions This study suggests that PHIs in this population target healthy weight maintenance, nutrition, and PA. As a consequence of this study, the first CVD prevention intervention has been implemented in this population, targeting the identified RFs. Utilizing a mixed methods and community-based participatory approach, this innovative 3-year intervention reached over 2,000 individuals. Key messages This study identified nutrition risk behaviors and high levels of obesity in a difficult to access, minority population. This study informed the planning and implementation of a community-based PHI.

scholarly journals Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yingxi Yang ◽  
Hui Wang ◽  
Wen Li ◽  
Xiaobo Wang ◽  
Shizhao Wei ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Sequence Data ◽  
Rapid Development ◽  
Pearson Correlation ◽  
Structural Features ◽  
Generative Adversarial Networks ◽  
Post Translational Modification ◽  
Generative Adversarial Network ◽  
Data Imbalance ◽  
Adversarial Network

Abstract Background Protein post-translational modification (PTM) is a key issue to investigate the mechanism of protein’s function. With the rapid development of proteomics technology, a large amount of protein sequence data has been generated, which highlights the importance of the in-depth study and analysis of PTMs in proteins. Method We proposed a new multi-classification machine learning pipeline MultiLyGAN to identity seven types of lysine modified sites. Using eight different sequential and five structural construction methods, 1497 valid features were remained after the filtering by Pearson correlation coefficient. To solve the data imbalance problem, Conditional Generative Adversarial Network (CGAN) and Conditional Wasserstein Generative Adversarial Network (CWGAN), two influential deep generative methods were leveraged and compared to generate new samples for the types with fewer samples. Finally, random forest algorithm was utilized to predict seven categories. Results In the tenfold cross-validation, accuracy (Acc) and Matthews correlation coefficient (MCC) were 0.8589 and 0.8376, respectively. In the independent test, Acc and MCC were 0.8549 and 0.8330, respectively. The results indicated that CWGAN better solved the existing data imbalance and stabilized the training error. Alternatively, an accumulated feature importance analysis reported that CKSAAP, PWM and structural features were the three most important feature-encoding schemes. MultiLyGAN can be found at https://github.com/Lab-Xu/MultiLyGAN. Conclusions The CWGAN greatly improved the predictive performance in all experiments. Features derived from CKSAAP, PWM and structure schemes are the most informative and had the greatest contribution to the prediction of PTM.

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