Post hoc analyses of surrogate markers of non-alcoholic fatty liver disease (NAFLD) and liver fibrosis in patients with type 2 diabetes in a digitally supported continuous care intervention: An open-label, non-randomised controlled study

OBJECTIVE: One year of comprehensive continuous care intervention (CCI) through nutritional ketosis improves glycosylated haemoglobin(HbA1c), body weight and liver enzymes among patients with type 2 diabetes (T2D). Here, we report the effect of the CCI on surrogate scores of non-alcoholic fatty liver disease (NAFLD) and liver fibrosis. METHODS: This was a non-randomised longitudinal study, including adults with T2D who were self-enrolled to the CCI (n=262) or to receive usual care (UC, n=87) during 1 year. An NAFLD liver fat score (N-LFS) >-0.640 defined the presence of fatty liver. An NAFLD fibrosis score (NFS) of >0.675 identified subjects with advanced fibrosis. Changes in N-LFS and NFS at 1 year were the main endpoints. RESULTS: At baseline, NAFLD was present in 95% of patients in the CCI and 90% of patients in the UC. At 1 year, weight loss of ≥5% was achieved in 79% of patients in the CCI versus 19% of patients in UC (p<0.001). N-LFS mean score was reduced in the CCI group (-1.95±0.22, p<0.001), whereas it was not changed in the UC (0.47±0.41, p=0.26) (CCI vs UC, p<0.001). NFS was reduced in the CCI group (-0.65±0.06, p<0.001) compared with UC (0.26±0.11, p=0.02) (p<0.001 between two groups). In the CCI group, the percentage of individuals with a low probability of advanced fibrosis increased from 18% at baseline to 33% at 1 year (p<0.001). CONCLUSIONS: One year of a digitally supported CCI significantly improved surrogates of NAFLD and advanced fibrosis in patients with T2D

Type 2 diabetes prevention focused on normalization of glycemia: A two-year pilot study

The purpose of this study is to assess the effects of an alternative approach to type 2 diabetes prevention. Ninety-six patients with prediabetes (age 52 (10) years; 80% female; BMI 39.2 (7.1) kg/

Effect of Phosphorus on the leaf yield, nutrient uptake and P-use efficiencies of sun cured chewing tobacco (Nicotiana tobacum) grown in Tamil Nadu

A field experiment was conducted during 2005-2009 to study the effect of various P management practices on the productivity, chewing quality, nutrient uptake, P-use efficiencies on chewing tobacco. There is a dire need to reduce the P requirement for chewing tobacco (Nicotiana tabacum L.), as it is costlier and scarce. First grade leaf yield (FGLY) and total cured leaf yield (TCLY) with 50,75 and 100% recommended P with or without phospho bacteria (PSB) are comparable. The FGLY and TCLY increase varied between 7 to 20 % and 19 to 30 % respectively over no P. Phosphorus application irrespective of the levels improved the chewability (Score >60) over no P. The uptake of NPK and soil available P improved with levels of P with or without PSB over no P. Phosphorus application every year improved the soil available P. The P balance showed loss of P in all the treatments. P-use efficiency (39.5- 42.3 kg/kg), P-uptake efficiency (0.12 - 0.15 kg/kg) , agronomic efficiency (0.12 - 0.15 kg/kg) , recovery efficiency (7.27 7.55%) and partial factor productivity (138 - 148 kg/kg) was higher at 50% P with or without PSB. Physiological efficiency was higher at 100% P +PSB (315 kg/ha) in the first year and 50% P (395.3 kg/ha) in the second year. Net returns and B:C ratio with 100% P was comparable with 75 and 50 % P with or without PSB. It was concluded that 50% recommended P (22 kg P/ha) would be sufficient for higher yield , net returns, better leaf chemistry and P-use efficiency

Fatty Acid Desaturase 1 Influences Hepatic Lipid Homeostasis by Modulating the PPARα‐FGF21 Axis

The fatty acid desaturase 1 (FADS1), also known as delta-5 desaturase (D5D), is one of the rate-limiting enzymes involved in the desaturation and elongation cascade of polyunsaturated fatty acids (PUFAs) to generate long-chain PUFAs (LC-PUFAs). Reduced function of D5D and decreased hepatic FADS1 expression, as well as low levels of LC-PUFAs, were associated with nonalcoholic fatty liver disease. However, the causal role of D5D in hepatic lipid homeostasis remains unclear. In this study, we hypothesized that down-regulation of FADS1 increases susceptibility to hepatic lipid accumulation. We used in vitro and in vivo models to test this hypothesis and to delineate the molecular mechanisms mediating the effect of reduced FADS1 function. Our study demonstrated that FADS1 knockdown significantly reduced cellular levels of LC-PUFAs and increased lipid accumulation and lipid droplet formation in HepG2 cells. The lipid accumulation was associated with significant alterations in multiple pathways involved in lipid homeostasis, especially fatty acid oxidation. These effects were demonstrated to be mediated by the reduced function of the peroxisome proliferator-activated receptor alpha (PPARα)-fibroblast growth factor 21 (FGF21) axis, which can be reversed by treatment with docosahexaenoic acid, PPARα agonist, or FGF21. In vivo, FADS1-knockout mice fed with high-fat diet developed increased hepatic steatosis as compared with their wild-type littermates. Molecular analyses of the mouse liver tissue largely corroborated the observations in vitro, especially along with reduced protein expression of PPARα and FGF21. Conclusion: Collectively, these results suggest that dysregulation in FADS1 alters liver lipid homeostasis in the liver by down-regulating the PPARα-FGF21 signaling axis

CLASSIFICATION OF CERVICAL CANCER CELLS IN PAP SMEAR SCREENING TEST

Cervical cancer is second topmost cancers among women but also, it was a curable one. Regular smear test can discover the sign of precancerous cell and treated the patient according to the result. However sometimes the detection errors can be occurred by smear thickness, cell overlapping or by un-wanted particles in the smear and cytotechnologists faulty diagnosis. Therefore the reason automatic cancer detection was developed. This was help to increase cancer cell mindfulness, diagnosis accuracy with low cost. This detection process consists of some techniques of the image preprocessing that is segmentation and effective texture feature extraction with SVM classification. Then the Final Classification Results of this proposed technique was compared to the previous classification techniques of KNN and ANN and the result would be very useful to cytotechnologists for their further analysi

COMPUTER AIDED DIAGNOSIS FOR DETECTION AND STAGE IDENTIFICATION OF CERVICAL CANCER BY USING PAP SMEAR SCREENING TEST IMAGES

The majority of the women of the world were affected by the disease of cervical cancer. As a result of this disease, their death rate was increase as hasty level. Hence so many number of research people was focused this notion as their research interest and also they have done so many number of solutions for finding this cancer by using some image processing technique and achieved a good results only in advanced and high cost techniques of LBC, biopsy or Colposcopy test Images. Therefore the reason, the authors have chosen this problem and also did not only to find whether the patient is affected by a cancer or not. In addition to the patient was affected by this cancer means and also to identify which severity stage of this disease the patient could be live. Then this work has done in based on the images of low cost pap smear screening test by using various image processing techniques with the help of Computerized Image Processing Software Interactive Data Language (IDL-Image Processing Language). Thus the final reports would be very useful to the pathologists for further analysis

Combining neural and semantic features in the analysis of being supportive in online feedback from customers

Over the past ten years, there has been a notable increase in the number of individuals accessing the internet. Positive evaluations serve as social evidence, convincing future purchasers of the product's quality and advantages. They can impact purchase decisions by offering real-world user information. Good reviews increase a product's or brand's trust and reputation. Customers are more inclined to buy from a firm that has received excellent feedback since it demonstrates dependability and contentment. Reviews can be considered user-generated content since they emphasise different applications, features, or advantages associated with a product. This material has the potential to persuade indecisive shoppers. The Yelp website was utilised to scrape feedback data for all Asian restaurants in New York City, which was then trained and assessed using three different models like Navie Bayes, next one is Logistic Regression, and then finally with Support Vector Classifiers. The Logistic Regression classifier outperformed the others by having the lowest proportion of mistakes and the highest Area under the ROC Curve noted as AUC on the receiver operating characteristic curve ROC curve. Commercial insights were gathered by recognising the existence of highly significant phrases while contrasting how they performed to the universal probabilities when the machine learning system was given review data from my restaurant