Saving Private Money

The savings and cash withdrawal application information system that runs on the new Bandung BMT el-ihsan KJKS it is still conventional so there are several problems in handling the process of presenting financial reports include delays in service to customers, and often occur reporting and recording errors. The main objective of this research is to present the system. Information in the form of applications that can be used to suit your needs. New system design using structured techniques where the system is modeled with a data flow diagram, database modeled using Entity Relationship Diagram (ERD). Input application creation savings and cash withdrawals in the new KJKS BMT el-ihsan Bandung using a programming language dhelphi 7 and ms access database. This research produces applications for savings and drag inputs cash, and with a new system can optimize the computer system in the process service to customers and reporting so that they can manage data well, for produce information that is easier and more accurate

Efficient training procedures for multi-spectral demosaicing

The simultaneous acquisition of multi-spectral images on a single sensor can be efficiently performed by single shot capture using a mutli-spectral filter array. This paper focused on the demosaicing of color and near-infrared bands and relied on a convolutional neural network (CNN). To train the deep learning model robustly and accurately, it is necessary to provide enough training data, with sufficient variability. We focused on the design of an efficient training procedure by discovering an optimal training dataset. We propose two data selection strategies, motivated by slightly different concepts. The general term that will be used for the proposed models trained using data selection is data selection-based multi-spectral demosaicing (DSMD). The first idea is clustering-based data selection (DSMD-C), with the goal to discover a representative subset with a high variance so as to train a robust model. The second is an adaptive-based data selection (DSMD-A), a self-guided approach that selects new data based on the current model accuracy. We performed a controlled experimental evaluation of the proposed training strategies and the results show that a careful selection of data does benefit the speed and accuracy of training. We are still able to achieve high reconstruction accuracy with a lightweight model

Development and Implementation of an Evidence-Based Practice Guideline Regarding Cricoid Pressure

Cricoid pressure (CP) has been a standard of practice since the 1960s. The purpose is to reduce aspiration of gastric content into the lungs in high-risk patients undergoing induction of general anesthesia. Aspiration has been identified as the most common cause of airway-related mortality for patients undergoing general anesthesia. The cause of airway-related mortality can be correlated to the application of CP. Incorrect application of CP may lead to adverse clinical events and outcomes. It has been demonstrated that when administering CP in a simulation-based environment, providers are applying pressure to the incorrect anatomical location and/or applying the incorrect amount of force. The project\u27s primary purpose is the development of an evidence-based practice (EBP) guideline which can be utilized to possibly reduce anesthesia related aspiration mortality for patients undergoing general anesthesia. This will be achieved by improving the quality of the application of CP through adopting an EBP approach to educate providers on the correct application. The project also includes a plan for implementing these EBP guidelines through education and training, monitoring the outcomes, and providing changes to the guidelines if the outcomes are less than desirable. The Plan-Do-Study-Act model was used as a framework to guide this scholarly project

Evidence Appraisal on Indocyanine Green Lymphography\u27s (ICG-L) Efficacy in Diagnosing Lymphedema Compared to Other Assessment Methods

The authors collaborated with Kate Long, OTR/L, CL T who is currently practicing at Legacy Salmon Creek Rehabilitation outpatient clinic, to answer the research question, How effective is indocyanine green lymphography (ICG-L) in diagnosing and guiding treatment of adult clients suspected of having lymphedema compared to other assessment methods? Results of the in depth literature review provided moderate evidence to support the use of the ICG-L assessment method for obtaining an early, conclusive diagnosis of lymphedema. Findings also showed that imaging of individual lymphatic flow can assist certified lymphedema therapists (CLTs) in delivering personalized treatment to their clients. Compared to other diagnosing methods, ICG-L does not involve radioactive substances, is able to record lymphatics in real time, and has a higher specificity rate. Limitations of ICG-L include requiring injection of a dye and limited visualization of deep lymphatics. An informational pamphlet product was assembled to assist our collaborator in informing clinicians about the merits of ICG-L. The literature review guided the development of the pamphlet, which consisted of a description of ICG-L, along with how it differs from other lymphedema assessments. A survey was provided to the collaborator and her colleagues to measure perceptions of the understandability and usability of the pamphlet prior to distributing it to other CLTs and referring clinicians. The goal was to ensure it contained all pertinent information required for effective use in educating CLTs and referring clinicians about the assessment method. Based on the results of this project, it is recommended that CLTs and referring clinicians consider the use of ICG-L for conclusively diagnosing lymphedema and aiding in personalized treatment for affected clients