Unifying aspect-based sentiment analysis BERT and multi-layered graph convolutional networks for comprehensive sentiment dissection.

Aspect-Based Sentiment Analysis (ABSA) represents a fine-grained approach to sentiment analysis, aiming to pinpoint and evaluate sentiments associated with specific aspects within a text. ABSA encompasses a set of sub-tasks that together facilitate a detailed understanding of the multifaceted sentiment expressions. These tasks include aspect and opinion terms extraction (ATE and OTE), classification of sentiment at the aspect level (ALSC), the coupling of aspect and opinion terms extraction (AOE and AOPE), and the challenging integration of these elements into sentiment triplets (ASTE). Our research introduces a comprehensive framework capable of addressing the entire gamut of ABSA sub-tasks. This framework leverages the contextual strengths of BERT for nuanced language comprehension and employs a biaffine attention mechanism for the precise delineation of word relationships. To address the relational complexity inherent in ABSA, we incorporate a Multi-Layered Enhanced Graph Convolutional Network (MLEGCN) that utilizes advanced linguistic features to refine the model's interpretive capabilities. We also introduce a systematic refinement approach within MLEGCN to enhance word-pair representations, which leverages the implicit outcomes of aspect and opinion extractions to ascertain the compatibility of word pairs. We conduct extensive experiments on benchmark datasets, where our model significantly outperforms existing approaches. Our contributions establish a new paradigm for sentiment analysis, offering a robust tool for the nuanced extraction of sentiment information across diverse text corpora. This work is anticipated to have significant implications for the advancement of sentiment analysis technology, providing deeper insights into consumer preferences and opinions for a wide range of applications.

Motivators and barriers of seasonal influenza vaccination among primary health care physicians in Qatar.

Annual influenza vaccination is an effective way to reduce the burden of disease throughout the year. A cross-sectional study was conducted in primary healthcare centres in Qatar to determine vaccination coverage among physicians, motivators, and barriers. The vaccination rate was higher among physicians aged 45 years and above (p-value < 0.005). Most primary care physicians (95 %) strongly agree that being vaccinated reduces the risk of disease spread. The most frequently mentioned barriers were the belief that one could still get influenza after being vaccinated and the fear of side effects (92.6 % and 29.5 %, respectively). Health authorities can implement strategies that take these factors into account to increase immunization coverage.

Association of High Levels of Spot Urine Protein with High Blood Pressure, Mean Arterial Pressure and Pulse Pressure with the Development of Diabetic Chronic Kidney Dysfunction or Failure among Diabetic Patients. Statistical Regression Modeling to Predict Diabetic Proteinuria.

INTRODUCTION: In research elevated Blood Pressure (BP) has been demonstrated to be a risk for the development of nephropathy and chronic renal disease (CKD) Or Diabetic Kidney Disease (DKD) among diabetics. However, no study has find correlation for the spot urine protein (UPr) excretion with elevated BP, Pulse Pressure (PP) and mean arterial pressure MAP). This technique was invented in the current study. METHODS: 10,270 were recruited for more than 12 years. Demographically, 43%, 38%, and 16% showed hypertension, nephropathy and chronic renal disease, respectively. UPr demonstrated significant correlations with systolic BP (SBP) and diastolic BP (DPB), MAP and PP (p < 0.0001 for all). SBP, DBP, PP and MAP, UPr were observed to be higher among the groups with nephroaphty and CKD/DKD with highly significant p-values (all p < 0.05). With logistic regression, odds ratio of hypertension (HTN) with nephropathy was observed to be 2.99 (95% CI 2.44 to 3.7; p < 0.0001); and odds ratio of HTN with CKD/DK was 7.1 (95% CI 4.3 to 11.84; p<0.0001), indicating that HTN significantly contributes to the development of nephropathy and CKD/DKD in diabetics. RESULTS: Invented regression models for the excretion of UPr from the kidney with elevated SBP, DBP, MAP and PP were highly significant (p < 0.0001 for all); UPr = -138.6 + [1.347 × SBP] ; UPr = -93.4 + [1.62 × DBP] ; UPr = -149.5 + [1.922 × MAP] ; UPr = -41.23 +[1.541 × PP]. CONCLUSION: Current study is the first one to introduce this technique. These invented new equations can be used by physicians to estimate protein excretion in urine at bedside and outpatients departments for monitoring proteinuria and CKD/DKD.

Association of Hypothyroidism with Body Mass Index, Systolic Blood Pressure and Proteinuria in Diabetic Patients: Does treated Hypothyroidism with Thyroxine Replacement Therapy Prevent Nephropathy/Chronic Renal Disease?

Untreated or sub-clinical hypothyroidism is associated with insulin resistance, obesity, adverse effects on cardiovascular system, hypertension and in turn risk of nephropathy. However, these changes are reversible with thyroxine replacement therapy (TRT). Current research studied 4235 diabetic patients, divided into two groups, those with clinical hypothyroidism /on TRT, compared to those without thyroid disease or undiagnosed. BMI, blood pressure, creatinine, urine microalbumin and spot urine protein levels were compared between these two groups. Study finding demonstrated that for hypothyroid cases, BMI was higher (32.2 ± 7.44 versus 29.4 ± 5.7; p < 0.0001), serum creatinine was on lower levels (0.75 ± 0.27 versus 1.0 ± 0.74; p = 0.001), systolic BP was on lower side (123.7 ± 15.9 versus 128.13 ± 16.8; p= 0.015); spot urine microalbumin was on lower side (52.58 ± 71.65; versus 87.77 ± 140.86; p=0.010) and spot urine protein had lower levels (25.3 ± 38.3 versus 44.28 ± 123.58; p < 0.0001). Current research also demonstrated that Pearson`s x2 and odds/protective odds for hypothyroidism (on TRT) was strongly associated with obesity (p <0.0001; odds ratio 2.28, 95% CI 1.47 to 3.56). However, they were protected from HTN (p= 0.272; protective odds ratio 1.28, 95%CI 0.824 to 1.98), nephropathy (p=0.386; protective odds 1.36, 95% CI 0.861 to 2.14) and chronic renal disease (p= 0.112; protective odds 3.42, 95% CI 0.83 to 14.13). In conclusion, TRT itself has protective effects on cardiovascular and renal system. Hence, thyroid screening is essential among diabetics to detect sub clinical or clinical hypothyroidism.

Correlation of Urine Biomarkers: Microalbuminuria and Spot Urine Protein among Diabetic Patients. Application of Spot Urine Protein in Diabetic Kidney Disease, Nephropathy, Proteinuria Estimation, Diagnosing and Monitoring.

Current study has invented a new method for utilizing spot urine protein among diabetic patients. There have been various efforts and strategies in research internationally to detect, diagnose and monitor nephropathy/DKD. Although 24-hour urine studies are gold standard, however, there exist some controversies about microalbuminuria and spot urine protein. The current study was designed to utilize spot urine protein among diabetic patients and to find its association with routine dipstick urine test for albumin, and microalbuminuria. The study demonstrated significant association of spot urine protein with urine dipstick albumin, and has demonstrated increasing spot urine protein with increasing albumin in urine (p-value < 0.0001). This study also demonstrated significantly higher levels of spot urine protein between the groups with nephropathy/DKD as compared to those without nephropathy/DKD (p-value < 0.0001). Similarly, spot urine protein and spot urine protein/creatinine were also significantly associated with microalbumin and microalbumin/creatinine in urine. Significant regression models for spot urine protein and microalbuminuria were also developed and proposed to detect and estimate microalbumin in urine while utilizing spot urine protein (< 0.0001). Synthesized regression equations and models can be used confidently to detect, rule out and monitor proteinuria and DKD. ROC curves were utilized to detect spot urine protein cutoff points for nephropathy and DKD with high specificity and sensitivity. Some important patents were also discussed in the paper regarding albuminuria/proteinuria detection and management. Current study has demonstrated and concluded, for the first time, that there exists a significant association of spot urine protein with routine dipstick albumin in urine and microalbuminuria. It is also essential to detect early, monitor and manage proteinuria, hypertension and dyslipidemia with good glycemic control to prevent diabetes complications.

Fasting during Ramadan: efficacy, safety, and patient acceptability of vildagliptin in diabetic patients.

Diabetes management during Ramadan fasting is challenging to the physician in terms of minimizing the risk of hypoglycemia. As compared to oral hypoglycemic agents (OHAs) and sulfonylureas (SUs), which carry a higher and significant risk of hypoglycemia, newer antidiabetic agents such as dipeptidyl peptidase-4 (DPP-4) inhibitors have demonstrated lower risk of hypoglycemia during Ramadan fasting, with better patient compliance. In addition to diabetes education and pre-Ramadan assessments, the physician should also consider use of DPP-4 inhibitors (such as vildagliptin) during Ramadan fasting to minimize the risk of hypoglycemia in type 2 diabetic subjects. Severe episodes of hypoglycemia have been demonstrated in recent research and clinical trials with OHAs/SUs. Conversely, these research observations have also demonstrated comparative safety and efficacy with lower risk of hypoglycemia associated with vildagliptin. Current research review has collected evidence-based clinical trials and observations for the drug vildagliptin to minimize the risk of hypoglycemia during Ramadan fasting, while at the same time focusing the role of diabetes self-management education (DSME), pre-Ramadan assessments, and patient care.

Effect of fasting ramadan in diabetes control status - application of extensive diabetes education, serum creatinine with HbA1c statistical ANOVA and regression models to prevent hypoglycemia.

Ramadan fasting is an obligatory duty for Muslims. Unique physiologic and metabolic changes occur during fasting which requires adjustments of diabetes medications. Although challenging, successful fasting can be accomplished if pre-Ramadan extensive education is provided to the patients. Current research was conducted to study effective Ramadan fasting with different OHAs/insulins without significant risk of hypoglycemia in terms of HbA1c reductions after Ramadan. ANOVA model was used to assess HbA1c levels among different education statuses. Serum creatinine was used to measure renal functions. Pre-Ramadan diabetes education with alteration of therapy and dosage adjustments for OHAs/insulin was done. Regression models for HbA1c before Ramadan with FBS before sunset were also synthesized as a tool to prevent hypoglycemia and successful Ramadan fasting in future. Out of 1046 patients, 998 patients fasted successfully without any episodes of hypoglycemia. 48 patients (4.58%) experienced hypoglycemia. Χ(2) Test for CRD/CKD with hypoglycemia was also significant (p-value < 0.001). Significant associations and linear regression were found for HbA1c and sunset FBS; RBS post-dawn with RBS mid-day and FBS at sunset. The proposed regression models of this study can be used as a guide in future for Ramadan diabetes management. Some relevant patents are also outlined in this paper.

Management of type-1 and type-2 diabetes by insulin injections in diabetology clinics - a scientific research review.

Better control of the diabetic metabolic state will prevent the diabetes complications. However in current clinical practice, it is sometimes difficult to achieve this goal. Additionally, physicians find themselves in an equivocal position to initiate insulin therapy, its selection, combining with Oral agents and further management. The current article was written to focus on diabetes pathogenesis at molecular level, its classification and management by insulin injections. Knowledge of basic biochemistry, pharmacology with kinetics of Insulin is essential for diabetes management. Nonetheless, it should be a priority to search for evidence based clinical methodologies for selecting the patients for initiating, modifying or combining the insulin therapy. Type-1 diabetic patients are best controlled on basal bolus insulin regimens. However in type-2 diabetes, metformin with lifestyle modifications should be the first line therapy, thereafter combined with oral hypoglycemic agents or shifting to insulin gradually if diabetes remains uncontrolled. Metformin is recommended to be prescribed with insulin as compared to oral hypoglycemic agents which should be discontinued while starting insulin. Monitoring the insulin therapy on regular visits to diabetologist and diabetes multidisciplinary team remains the integral part of diabetes management. The review also outlines relevant and recent insulin analogue patents for the management of Diabetes.