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Background: High neutrophil to lymphocyte has a great impact on mortality in people with coronary artery disease. Objective of the study was to find out the frequency of in hospital mortality in acute coronary syndrome and high neutrophil to lymphocyte ratio Methods: This study was conducted in cardiology unit, Khyber Teaching Hospital Peshawar from 28th May to 27th November 2019. All patient with ACS and high neutrophil to lymphocytes ratio (NLR >4.7), of age 40–70 years old and both genders were included in the study. All those with infection/sepsis, hematological disorders, previous history of coronary artery diseases, using of immunosuppressed were excluded from the study. Result: Mean age was 55.61±6.65 years, Mean BMI was 25.25±4.32 kg/m², Male were 130 (70.3%) and female were 55 (40.0%), Diabetes was present in 111 (60.0%) and non-diabetics were 74 (40.0%), Hypertension was present in 122 (65.9%), Smoking history was positive in 81 (43.8%). ≤45 years old were 15 (8.1%) and >45 years old were 170 (91.9%). Of BMI ≤27.00 were 126 (68.1%) while >27.00 were 59 (31.9%). The mortality rate was 14.6% (27) in hospital. Only diabetes was significant associated with mortality (p value <0.05). The gender, BMI, Hypertension, age and smoking did not show significant difference in mortality (p-value >0.05). Conclusion: There is high rate of in hospital mortality in patient with high neutrophil to lymphocytes ratio. The mortality rate further increases when the patients is diabetics. Further studies are recommended to reject or further strengthen this result. [ABSTRACT FROM AUTHOR]

The paper presents a new image forgery detection technique. The proposed technique uses digital signatures; it generates a digital signature for each column and embeds the signature in the least significant bits of each corresponding column’s selected pixels. The message digest algorithm 5 (MD5) is used for digital signature generation, and the four-least-significant-bit substitution mechanism is used to embed the signature in the designated pixels. The embedding of the digital signature in the selected pixel remains completely innocent and undetectable for the human visual system. The proposed forgery detection technique has demonstrated significant results against different types of forgeries introduced to digital images and successfully detected and pointed out the forged columns. [ABSTRACT FROM AUTHOR]

This article introduces a fast meshless algorithm for the numerical solution nonlinear partial differential equations (PDE) by Radial Basis Functions (RBFs) approximation connected with the Total Variation (TV)-based minimization functional and to show its application to image denoising containing multiplicative noise. These capabilities used within the proposed algorithm have not only the quality of image denoising, edge preservation but also the property of minimization of staircase effect which results in blocky effects in the images. It is worth mentioning that the recommended method can be easily employed for nonlinear problems due to the lack of dependence on a mesh or integration procedure. The numerical investigations and corresponding examples prove the effectiveness of the recommended algorithm regarding the robustness and visual improvement as well as peak-signal-to-noise ratio (PSNR), signal-to-noise ratio (SNR), and structural similarity index (SSIM) corresponded to the current conventional TV-based schemes. [ABSTRACT FROM AUTHOR]