Computationally Efficient Implementation of Convolution-based Locally Adaptive Binarization Techniques

One of the most important steps of document image processing is binarization. The computational requirements of locally adaptive binarization techniques make them unsuitable for devices with limited computing facilities. In this paper, we have presented a computationally efficient implementation of convolution based locally adaptive binarization techniques keeping the performance comparable to the original implementation. The computational complexity has been reduced from O(W2N2) to O(WN2) where WxW is the window size and NxN is the image size. Experiments over benchmark datasets show that the computation time has been reduced by 5 to 15 times depending on the window size while memory consumption remains the same with respect to the state-of-the-art algorithmic implementation

Examine the Perceived Risk of Falls Among Patients Receiving Acute Care

Purpose: In an effort to lower the number of falls that occur among hospitalized patients, several facilities have begun introducing various fall prevention programs. However, the efficacy of fall prevention programs is diminished if patients do not consider themselves to be at risk for falls and do not follow recommended procedures. The goal of this study was to characterize how patients in four different acute care specialist services felt about their risk of falling while in the hospital. Methods: One hundred patients admitted to the study hospital with a Morse Fall Scale score of 45 or higher were given the Patient Perception Questionnaire, a tool designed to assess a patient's perception of their own fall risk, fear of falling, and motivation to take part in fall prevention efforts. Scores on the Morse Fall Scale were gathered through a historical assessment of medical records. Descriptive statistics, Pearson's correlation coefficients, and independent sample t tests were used to examine the data. Results: The average age was 65, and around half (52%) were men and half (48%) were women. Based on their ratings on the Morse Fall Scale, all 100 participants were classified as being at high risk for falls. However, only 55.5% of the individuals agreed with this assessment. The likelihood that a patient would seek assistance and the degree to which they feared falling both declined as their faith in their mobility improved. Patients hospitalized after a fall exhibited considerably lower confidence scores and greater fear scores than patients who had not been injured in a fall. Conclusions: Patients who have a high fall risk assessment score may not believe they are at risk for falls and may not take any steps to reduce their risk. The prevalence of falls in hospitals might be mitigated by the creation of a fall risk assessment technique that takes into account both objective and subjective factors

Insights into interdisciplinary approaches for bioremediation of organic pollutants: innovations, challenges and perspectives

Modern industrialization has originated a tremendous industrial growth. Discharge of industrial effluent is a critical threat to a safe environment. Removal of various pollutants from industrial wastewater is obligatory for controlling environmental pollution. Bioremediation using biotechnological interventions has attracted greater attention among the researchers in the field of control and abatement of environmental pollution. This review is aimed to introduce methods for bioremediation on the removal of organic pollutants from industrial wastewater that have been discussed, and the kinetic models that are related to it have been introduced. In addition, biotechnological interventions on bioremediation of pollutants have been discussed fingerprinting of microbial sp. present at polluted sites. Microbial electrochemical technologies such as a green technology for the removal of pollutants from industrial effluents and simultaneous resource recovery from industrial waste have been discussed to generate up-to-date scientific literature. This review also provides detailed knowledge gaps, challenges and research perspectives related to the topic.(undefined)info:eu-repo/semantics/publishedVersio

Differentiation and characterization of human iPSC-derived vascular endothelial cells under physiological shear stress. Abutaleb & Truskey.

Induced pluripotent stem cells (iPSCs) offer a potentially unlimited source to generate ECs for numerous applications. Here we describe a 7-day protocol to differentiate up to 55 million vascular endothelial cells (viECs) from 3.5 million human iPSCs using small molecules to regulate specific transcription factors. We also describe a parallel plate flow chamber system to study EC behavior under physiological shear stress. Included in the dataset is the supplemental method videos and SolidWorks part files for fabricating and setting up the parallel plate flow chamber

Differentiation and characterization of human iPSC-derived vascular endothelial cells under physiological shear stress. Abutaleb & Truskey.

Induced pluripotent stem cells (iPSCs) offer a potentially unlimited source to generate ECs for numerous applications. Here we describe a 7-day protocol to differentiate up to 55 million vascular endothelial cells (viECs) from 3.5 million human iPSCs using small molecules to regulate specific transcription factors. We also describe a parallel plate flow chamber system to study EC behavior under physiological shear stress. Included in the dataset is the supplemental method videos and SolidWorks part files for fabricating and setting up the parallel plate flow chamber