105 research outputs found
Efficient Maritime Healthcare Resource Allocation Using Reinforcement Learning
No full textThe allocation of healthcare resources on ships is crucial for safety and well-being due to limited access to external aid. Proficient medical staff on board provide a mobile healthcare facility, offering a range of services from first aid to complex procedures. This paper presents a system model utilizing Reinforcement Learning (RL) to optimize doctor-patient assignments and resource allocation in maritime settings. The RL approach focuses on dynamic, sequential decision-making, em- ploying Q-learning to adapt to changing conditions and maximize cumulative rewards. Our experimental setup involves a simulated healthcare environment with variable patient conditions and doctor availability, operating within a 24-hour cycle. The Q- learning algorithm iteratively learns optimal strategies to enhance resource utilization and patient outcomes, prioritizing emergency cases while balancing the availability of medical staff. The results highlight the potential of RL in improving healthcare delivery on ships, demonstrating the system's effectiveness in dynamic, time-constrained scenarios and contributing to overall maritime safety and operational resilience
Supplemental Material - Ten-year experience of infrainguinal bypass with endoscopic vein harvest
No full textSupplementary Material for Ten-year experience of infrainguinal bypass with endoscopic vein harvest by Rhami Khorfan, Aela Vely, Farwa Batool, Miles W Jackson, M LaWaun Hance, Diane J Jones, Jarred A Napier, Michael J Heidenreich and Abdulhameed Aziz in Vascular</p
COMPARATIVE ANALYSIS OF LYMPH NODES POSITIVE AND LYMPH NODE NEGATIVE BREAST CANCER
No full text*Dr. Syed Sajid Hussain Shah, Dr. Syedha Farwa Batool and Dr. Muhammad Hassan Bashi
R from Zero to Hero (Arabic)
No full textThis is a course designed by Batool Almarzouq and delivered in JeelAIDM. All Materials are licensed under CC-BY license. CC-BY license means you can re-use, modify and build upon the materials with attribution to the source. The course is delivered over six weeks, with two sessions each week, each lasting two hours.
Week
Session
1
Introduction to R and Open Science
1
Project Management
2
R Markdown
2
GitHub in RStudio
3
Tidydata
3
Tidyverse
4
ggplot2 Part 1
4
ggplot2 Part 2
5
YAML in R Markdown
5
Blogging in R
6
Reproducibility with renv
6
Create your first R package!
The Slides are accompanied by live coding in this GitHub repository associated.The author acknowledges JeelAIDM for making the materials ope
Erratum: Cloaking using anisotropic multilayer circular cylinder (AIP Advances (2020) 10 (095312) DOI: 10.1063/5.0012769)
No full textCo-author Mehwish Nisar should have had an additional affiliation noted in the byline of our original manuscript.1 The correct affiliations for this manuscript are as listed above
Knowledge, Attitude and Practice of Organ Donation among Health Care Professionals Working in Rawalpindi and Islamabad
No full textNot Availabl
Population Protocols for Adaptive Event Dissemination with Autonomous Agents in Vehicular Networks
No full textRecent advances in distributed vehicle-to-vehicle communication promise to transform the user’s driving ex- perience, providing new services capable of improving safety, efficiency and quality of travelling. Due to the large amount of information exchanged, a major challenge of Vehicular Networks is the adoption of appropri- ate data dissemination protocols that ensure good performance in real-time event detection, while guarantee- ing low communication overhead. To this aim, this paper proposes an adaptive event dissemination algorithm which exploits Population Protocols (PPs) for modelling vehicle interactions as coordinated behaviors of au- tonomous agents in a distributed system. The experimental evaluation performed on realistic vehicle tracks over real-world maps demonstrates the system’s ability to efficiently disseminate information in the network in order to support reliable and distributed event detection services
Soil nutrients determine leaf traits and above-ground biomass in the tropical cloud forest of Hainan Island
No full textIdentifying soil characteristics associated with the plant’s resource use and acquisition strategy at different scales could be a crucial step to understanding community assembly and plant strategy. There is an increasing trend that plant functional properties can be an important driver of ecosystem functioning. However, major knowledge gaps exist about how soil abiotic properties, shape species diversity, above-ground biomass (AGB) and plant functional diversity in the Bawangling tropical forest (TCF) of Hainan island. Hence we hypothesized that plant functional traits and above-ground biomass would be strongly associated with soil abiotic factors given their direct relationship to soil resource acquisition and use. Here, we used 12 plant functional traits (FTs), above-ground biomass (AGB), and five soil nutrients in the Bawangling tropical cloud forest of Hainan Island by using a polynomial regression model and multivariate correlations to show relationship and identify how plants allocate their limited resources to adapt to their surroundings. Various phytosociological attributes were assessed and an Importance Value Index (IVI) value was calculated for each species to determine the dominant species. More than half of the total variations could be attributed to interspecific variations in H, DBH, LA, LMA, and LDW. From a taxonomic perspective; we found that species-level variance was more significant for plant functional traits and soil nutrients like TN, AP, TP, and OM. On the other hand, variation in specific stem density (SSD), leaf thickness (LT), leaf phosphorus (LP) and leaf soluble sugar (LS) was an exception for these tendencies. Among soil nutrients, soil nitrogen and phosphorus significantly impact the species and functional traits. Furthermore, the soil AN and TP we also found to have a comparatively strong positive relationship with above-ground biomass (AGB) as compared with other soil nutrients. The morpho-physiological functional traits showed a trade-off between conservative and acquisitive resource usage. These variations suggested that the relationships of functional traits, AGB, and species with soil nutrients mainly AN and TP in tropical cloud forests can directly affect the growth, reproduction, and survival of the species and are beneficial for the species co-existence and maintenance of biodiversity
Are Public Libraries Promoting Social Justice? A Case of Quaid-e-Azam Library of Pakistan
No full textAbstract of a presentation at the conference Information Science Trends 202: Untold Stories in Information Science, 15-17 June 202
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