Sarcoidosis Presenting as Acute Respiratory Distress Syndrome.

Sarcoidosis is a multisystem granulomatous disease of unknown origin. It typically involves the lungs and mediastinal lymph nodes in a chronic fashion. However, acute syndrome has been reported possibly in response to systemic release of proinflammatory cytokines. Acute pulmonary manifestations, especially acute respiratory failure or acute respiratory distress syndrome, remain extremely uncommon in individuals without a prior diagnosis. We present the case of a 41-year-old African American female, who presented with ARDS. An extensive workup into the cause of her illness remained negative, and she subsequently succumbed to her illness. A diagnosis of sarcoidosis was made upon autopsy, after exclusion of other granulomatous illness. The case highlights the need to consider this uncommon diagnosis in patients with unexplained ARDS to guide therapy

Post-Pericardiotomy Syndrome Disguised as Fever of Unknown Origin

Introduction: Post -Pericardiotomy syndrome (PPS) is a clinical diagnosis characterized by fever, pericardial or pleural effusions, and a pericardial friction rub occurring over several days after cardiac surgery. The infrequency of PPS can cause delay in recognition and management, thus leading to significant morbidity. We present a case of fever of unknown origin, pericardial and pleural effusion secondary to postpericardiotomy syndrome 10 days after an Aortic Valve Replacement (AVR) Poster presented at: American College of Physicians Southeast Regional Meeting on October 15th, 201

Proposed business plan for pilot farmer organizations: Extended project on Farmer Managed Irrigated Agriculture in LBOD Project Area of Sindh Province

Farmers' associations / Farmer managed irrigation systems / Irrigation programs / Irrigation management / Drainage / Economic aspects / Income / Operating costs / Maintenance costs / Conflict

Hydraulic characteristics of pilot distributaries in the Mirpurkhas, Sanghar and Nawabshah districts, Sindh, Pakistan

Discharge frequency / Hydraulics / Flow / Water loss / Seepage / Water distribution / Pakistan / Sindh / Mirpurkhas / Sanghar / Nawabshah

Medical data classification using similarity measure of fuzzy soft set based distance measure

Medical data classification plays a crucial role in many medical imaging applications by automating or facilitating the delineation of medical images. A considerable amount of literature has been published on medical images classification based on data mining techniques to develop intelligent medical decision support systems to help the physicians. This paper assesses the performance of a new classification algorithm using similarity measure fuzzy soft set based distance based for numerical medical datasets. The proposed modelling comprises of five phases explicitly: data acquisition, data pre-processing, data partitioning, classification using FussCyier and performance evaluation. The proposed classifier FussCyier is evaluated on five performance matrices’: accuracy, precision, recall, F-Micro and computational time. Experimental results indicate that the proposed classifier performed comparatively better with existing fuzzy soft classifiers

A delayed SIR epidemic model with a general incidence rate

A delayed SIR epidemic model with a generalized incidence rate is studied. The time delay represents the incubation period. The threshold parameter, $R_0(\tau)$ is obtained which determines whether the disease is extinct or not. Throughout the paper, we mainly use the technique of Lyapunov functional to establish the global stability of both the disease-free and endemic equilibrium

Posterior reversible encephalopathy syndrome (PRES) after bevacizumab therapy for metastatic colorectal cancer.

Posterior reversible encephalopathy syndrome (PRES) is an increasingly recognizable neuro-clinical syndrome. Clinical and neurological manifestations of PRES include hypertension, headache, encephalopathy, seizures, and symmetrical white matter changes on brain MRI. Most common precipitants of PRES are acute medical illness, hypertensive crisis, eclampsia, immunosuppressive therapy, and chemotherapy. Bevacizumab is a monoclonal antibody that halts angiogenesis by inhibiting vascular endothelial growth factor. It has gained widespread popularity in oncology world especially for metastatic and recurrent cancers due to its inherent ability to stop angiogenesis; a vital step for tumor growth. Bevacizumab has also been implicated as the cause of PRES due to dysregulation of the blood-brain barrier. We are reporting a case of PRES induced by Bevacizumab in a patient of colorectal cancer

An affective-cognitive teaching and learning approach for enhanced behavioural engagements among engineering students

Promoting students’ engagement has been of great interest to engineering educators as it is associated with better teaching and learning effectiveness. However, students’ engagement is a multifaceted construct comprising the cognitive, affective, and behavioural aspect of engagements which makes it difficult to get a holistic measure of it. Thus, the behavioural engagement alone is often measured as it enables the researcher to investigate outcomes ‘in-action’ and evaluate the individuals’ ability at high-order thinking. The aim of this study is to explore the effect of an integrated affective-cognitive teaching and learning approach on behavioural engagements. The study utilized the quasi-experimental design method with pre- and post-test. The experimental group (n = 36) was taught a course on mechanics of material using the integrated approach while the control group (n = 34) was taught the same course using the conventional method. The results indicate that the integrated affective-cognitive learning approach promotes some types of positive behavioural engagement while suppressing other types of negative engagements. Thus, it was concluded that the integrated teaching and learning approach is effective in promoting positive behavioural engagements among engineering students