A mathematical analysis of dialysis report and kidney function tests; a case study

Chronic kidney disease (CKD) patients are need to do kidney functioning tests in a regular interval due to this time money as well as energy are affected. This study determines the difference of standard deviation of the patient’s weight, systolic blood pressure (BP) and diastolic BP pre- and post-dialysis and observe the changes that takes place in the patients’ health. Moreover, as the kidney functioning tests are time consuming and expensive, therefore in order to save time and money we want to give a mathematical solution for the benefit of mankind. The data of the CKD patients has been collected from medical college and hospital, Assam. The data collection was done randomly selecting 5 CKD patients and the data comprises of the body weight, BP of the patient pre dialysis and post dialysis. Analysis the data with some statistical tools (standard deviation, σ) and interpret the result. The difference of standard deviation of the patient’s weight, BP of systolic and diastolic are measure pre and post dialysis, it is found either the patient is approaching towards good health or not

Impact of Arsenic on Reproductive Health

Arsenic is ubiquitously present in the earth’s crust. Population across the world gets exposed to arsenic mainly through drinking water, responsible for causing diseases like hypertension, skin pigmentation, skin lesion, cardiovascular diseases, and even cancer. However, arsenic also disturbs the male and female hormone balance in the body, thus, interfering with the process of spermatogenesis and oogenesis. This eventually leads to infertility in the reproductive system irrespective of gender. Cohort studies have revealed that when pregnant women get exposed to arsenic-contaminated water; it leads to abortion, preterm birth, and stillbirth. Thus, arsenic contamination from any source has a devastating effect on the life of organisms and also on the environment

Numerical Solution of Radiative Boundary Layer Flow in Porous Medium Due to Exponentially Shrinking Permeable Sheet Under Fuzzy Environment

In this paper we are considering a fluid flows problem that contains two equation of motions and more than two parameters in the governing equation of motion. Which is namely Radiative Boundary Layer Flow in Porous Medium due to Exponentially Shrinking Permeable Sheet. The parameter are K=ck0/Lθ, Pr=μcp/κ∞, N=4σ1(T∞)3/(3κ1κ∞),  and ε denote the permeability parameter, Prandtl number, and radiation parameter and is the thermal conductivity variation parameter, respectively. The governing differential equation can be obtained by using the similarity variable technique, and then the governing equation of motion can be Fuzzified by the help of Zadeh extension theorem. The technique is used for the validation of the uncertainty of the equation of the motion. The effect of the K, Pr, N,  and ε are discussed with the fuzzified governing equation of motion under fuzzy environment. It is observed none of the parameters are directly involved in the occurrence of the uncertainty of the solutions. The uncertainty occurs in the problem is due to the assumption and the numerical computation. Finally, the solution is being carried out under fuzzy environment. It is found that the increasing values of permeability parameter, the values of both the numbers Skin friction coefficient as well as Nusselt number are increases

Vitamin D levels and tumor necrosis factor-α activity in newly diagnosed patients with type 2 diabetes mellitus: An exploratory study in North-East India

Background: Diabetes poses a global threat, leading to hospitalizations and premature death if not managed properly. It involves tumor necrosis factor-α (TNF-α), an inflammatory cytokine, which binds to TNF-α receptor-1, triggering sphingomyelinase, and ceramide production. Vitamin D acts as an anti-inflammatory agent, reducing inflammatory cytokines and proinflammatory cell growth, and benefiting diabetes mellitus (DM). Aims and Objectives: The primary objective was to compare serum Vitamin D and TNF-α levels in diabetics and non-diabetics. The secondary objective was to explore Vitamin D and TNF-α correlation in newly diagnosed type 2 diabetes. Materials and Methods: A case–control study involved 92 subjects in each group. Data included demographics, clinical assessments, glycemic parameters, Vitamin D, and TNF-α. Statistical analysis used student’s t-test and Pearson correlation (P<0.05). Results: The cohort comprised 34 females (36.96%) and 58 males (63.04%). Cases had significantly higher glycemic levels: FBG (247.2±53.92 mg/dL vs. 91.45±16.64 mg/dL), postprandial plasma glucose (319.7±72.08 mg/dL vs. 111.3±21.76 mg/dL), and glycated hemoglobin (HbA1c) (10.39±2.41% vs. 5.43±0.48%). Mean serum Vitamin D in cases (22.63 ng/mL) was significantly lower than controls (58.15 ng/mL), and mean TNF-α in cases (5.01 pg/mL) was higher than controls (4.63 pg/mL, P<0.0001). HbA1c negatively correlated with serum Vitamin D (r=−0.7461) and positively with TNF-α (r=0.7831). Vitamin D correlated negatively with TNF-α (r=−0.6481). Conclusion: The study revealed lower serum Vitamin D and higher TNF-α levels in cases, with a significant inverse association. It also found an inverse link between Vitamin D and HbA1c and a strong positive correlation between HbA1c and TNF-α. Recognizing Vitamin D and TNF-α’s diagnostic significance promises innovative strategies for managing type 2 DM