Dataflow Programming and Acceleration of Computationally-Intensive Algorithms

The volume of unstructured textual information continues to grow due to recent technological advancements. This resulted in an exponential growth of information generated in various formats, including blogs, posts, social networking, and enterprise documents. Numerous Enterprise Architecture (EA) documents are also created daily, such as reports, contracts, agreements, frameworks, architecture requirements, designs, and operational guides. The processing and computation of this massive amount of unstructured information necessitate substantial computing capabilities and the implementation of new techniques. It is critical to manage this unstructured information through a centralized knowledge management platform. Knowledge management is the process of managing information within an organization. This involves creating, collecting, organizing, and storing information in a way that makes it easily accessible and usable. The research involved the development textual knowledge management system, and two use cases were considered for extracting textual knowledge from documents. The first case study focused on the safety-critical documents of a railway enterprise. Safety is of paramount importance in the railway industry. There are several EA documents including manuals, operational procedures, and technical guidelines that contain critical information. Digitalization of these documents is essential for analysing vast amounts of textual knowledge that exist in these documents to improve the safety and security of railway operations. A case study was conducted between the University of Huddersfield and the Railway Safety Standard Board (RSSB) to analyse EA safety documents using Natural language processing (NLP). A graphical user interface was developed that includes various document processing features such as semantic search, document mapping, text summarization, and visualization of key trends. For the second case study, open-source data was utilized, and textual knowledge was extracted. Several features were also developed, including kernel distribution, analysis offkey trends, and sentiment analysis of words (such as unique, positive, and negative) within the documents. Additionally, a heterogeneous framework was designed using CPU/GPU and FPGAs to analyse the computational performance of document mapping

Telemedicine and the Cloud Computing: A Path to the Future

The medical industry is quickly adapting to keep up with the rapid improvements in technology. The use of the technical developments that had been made in this area resulted in the conception of telemedicine”. Methods that were previously imprecise, time-consuming, and riddled with errors are being phased out in favor of more efficient ones that make use of the internet. These methods make it possible to access data in real time while maintaining a high level of authentication. The concept revolves on the use of cloud computing and the broadcasting of media in real time. The data is uploaded to a website in a manner that is appropriate for viewing by approved medical personnel, and then made publicly accessible on the internet. Cloud computing is having a game-changing impact in the field of telemedicine. There are already a lot of people working in the medical field who use cloud computing\u27s more sophisticated healthcare applications. There is widespread consensus among industry experts and academics that cloud computing has the potential to significantly advance the state of medical care delivery. This paper explores how cloud computing can be used in a manner that is both safe and secure within the context of telehealth

معانی الحروف وصفاتھا

The Article is related to the characteristics of Arabic Alphabets. Human have five senses i.e. Sight, hearing, taste, smell and touch (tactioception). Touch includes sense of pressure, sense of pain, sense of cold and sense of hot. In Arabic following are the Touching Alphabets, الدال الذال الثاء،التاء، الکاف ، المیم In this Article I came with many example for each alphabet that better defined their characteristics regarding touch senses .I endorsed my opinion with references from different eminent dictionaries, grammarians and lingual, like Taj ul Oroos,Ibne Sena, Ibne Jini etc. I have also discussed 19 characteristics of Arabic Alphabet and defined each characteristic briefly

New Avenues for Automated Railway Safety Information Processing in Enterprise Architecture: An NLP Approach

Enterprise Architecture (EA) is crucial in any organisation as it defines the basic building blocks of a business. It is typically presented as a set of documents that help all departments understand the business model. In EA, safety documents are used to manage and understand safety risks. A novel similarity system for railway safety document processing is presented in this work. It measures the feasibility of automated updating of EA models with the Rule Book by verifying whether Rail Safety and Standards Board (RSSB’s) Rule Book clauses are present and complete in existing EA models. Additionally, a Natural Language Processing (NLP) based search feature was developed to drill through the database to find similar existing rules, principles, and clauses based on semantic similarity. The result will display the most similar clauses and rules with similarity scores and document names. In this study, different pre-trained Electra Small, DistilBERT (Distillation Bidirectional Encoder Representations from Transformers) Base and BERT (Bidirectional Encoder Representations from Transformers) Base were used to embed text. Additionally, the similarity between document rules was measured by cosine similarity metrics. With conclusive evidence, our findings show that BERT Base exceeds the other embedding methods in the semantic comparison of documents

Overnight joint replacement surgery: A pilot Australian study

Background: With a stretched healthcare system and elective surgery backlog, measures to improve efficiency and decrease costs associated with surgical procedures need to be prioritized. This study compares the benefits of multi-disciplinary involvement in an enhanced recovery after surgery (ERAS) protocol-led overnight model following total hip replacement (THR) and total knee replacement (TKR). Methods: Patients in each of two private hospitals undergoing THR or TKR were prospectively enrolled. One hospital (Overnight) was fully committed to the ERAS protocol implementation on all levels and formed the treatment group while in the other hospital (control), patients only had the anaesthetic and operative procedure as part of the ERAS protocol but did not follow the perioperative measures of the protocol. Outcomes on hospital length of stay (LOS), inpatient rehabilitation, functional outcomes, satisfaction, adverse events and readmission rates were investigated. Results: Median LOS in the Overnight group was significantly smaller than in the control group (1 vs. 3 days, P \u3c 0.0001). The Overnight group had lower rates of inpatient rehabilitation utilization (4% vs. 41.2%, P \u3c 0.0001), similar improvements in functional hip and knee scores and no increased rate of adverse events or readmission. All patients in both groups were satisfied with their treatment. Conclusion: Overnight THR and TKR can safely be performed in the majority of patients, with a multi-disciplinary approach protocol and involvement of all perioperative stakeholders

Frontiers and Challenges in Electrochemical Corrosion Monitoring; Surface and Downhole Applications

Corrosion sensing is essential to monitor and safeguard the materials’ health and control the maintenance cost of corrosion-prone materials used in various industries. The petroleum industry is a major sufferer of corrosion costs among various industries due to pipelines and downhole applications. This review article encompasses an overview of various technologies used in early detection stages for more reliable corrosion sensing and warnings. This review provides a summary of corrosion types, corrosion causing chemical species, different destructive and non-destructive technologies used in monitoring corrosion and a comprehensive overview of the state-of-the-art of various electrochemical techniques used for surface and downhole corrosion monitoring. Finally, the existing challenges for corrosion monitoring in surface and downhole conditions and prospects are discussed

Numerical Solution of the Boundary Value Problems Arising in Magnetic Fields and Cylindrical Shells

This paper is devoted to the study of the Cubic B-splines to find the numerical solution of linear and non-linear 8th order BVPs that arises in the study of astrophysics, magnetic fields, astronomy, beam theory, cylindrical shells, hydrodynamics and hydro-magnetic stability, engineering, applied physics, fluid dynamics, and applied mathematics. The recommended method transforms the boundary problem to a system of linear equations. The algorithm we are going to develop in this paper is not only simply the approximation solution of the 8th order BVPs using Cubic-B spline but it also describes the estimated derivatives of 1st order to 8th order of the analytic solution. The strategy is effectively applied to numerical examples and the outcomes are compared with the existing results. The method proposed in this paper provides better approximations to the exact solution

An unusually high prevalence of isolated prostatic ductal adenocarcinoma among Saudi patients: A registry-based study

Objective: We conduct a secondary analysis on the demographics, tumor characteristics, survival, and risk factors for mortality among patients with prostatic ductal adenocarcinoma (PDA) in the Kingdom of Saudi Arabia (KSA). Methods: This is a registry-based retrospective study that included all patients diagnosed with prostate cancer in the KSA. The data were collected from the Saudi Cancer Registry, which collects tumor data from all private, military, and health ministry hospitals in Saudi Arabia through five regional offices. Results: Among 3607 prostate cancer patients detected during the specified period, 209 (5.8%) had ductal adenocarcinoma. The median interquartile range age of patients was 72.0 years (64.0–78.0). Adenocarcinoma lesions were malignant among all the patients. Grade III tumors were most frequently apparent lesions (61.2%), followed by Grade II tumors (26.3%), Grade I tumors (7.2%), and Grade VI tumors (5.3%). A total of 33 patients died, representing 15.8% of the whole sample. The 1-year survival rate was 78.1%. More than a third of patients who were residing in the Western region deceased (38.0%), whereas no deaths were reported in other regions with a statistically significant difference based on regions (P < 0.001). Conclusion: To the best of our knowledge, this is the first registry-based study to investigate PDA in the KSA; these efforts were done to further understand this deadly condition and to further enhance patient care in the KSA