176 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
sj-docx-1-jef-10.1177_15589250221091265 – Supplemental material for Eco-friendly bio-dyeing of bio-treated nylon fabric using Esfand (P. harmala) based yellow natural colorant
No full textSupplemental material, sj-docx-1-jef-10.1177_15589250221091265 for Eco-friendly bio-dyeing of bio-treated nylon fabric using Esfand (P. harmala) based yellow natural colorant by Shahid Adeel, Mahmood ul Hasan, Fatima Batool, Meral Ozomay, Mozhgan Hosseinnezhad, Nimra Amin and Muhammad Hussaan in Journal of Engineered Fibers and Fabrics</p
The role of G-quadruplex structures of LIGS-generated aptamers R1.2 and R1.3 in IgM specific recognition
No full textExploiting a variant of SELEX called "Ligand-Guided Selection" (LI-GS), we recently identified two novel truncated G-rich aptamers, called R1.2 and R1.3, specific for membrane-bound IgM (mIgM), the hallmark of B cells. Herein, the conformational behaviour of these aptamers has been analysed by multiple biophysical methods. In order to investigate their functional secondary structures, these studies have been carried out in pseudo-physiological buffers mimicking different cellular environments. Both aptamers proved to be highly polymorphic, folding into stable, unimolecular G-quadruplex structures in K+-rich buffers. In turn, in buffered solutions containing Na+/Mg2+ ions, R1.2 and R1.3 formed mainly duplex structures. Remarkably, these aptamers were able to effectively bind mIgM on B-cell lymphoma exclusively in the presence of potassium ions. These findings demonstrate the key role of G-quadruplex folding in the molecular recognition and efficient binding of R1.2 and R1.3 to mIgM expressed in lymphoma and leukemia cells, providing a precious rational basis for the design of effective aptamer-based biosensors potentially useful for the detection of cancer-relevant biomarkers
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
Role of surfactant therapy in reducing oxygen requirement and mortality among neonates suffering from respiratory distress syndrome: A Prospective study at Al – Batool teaching hospital in Diyala province
No full textBackground: Respiratory distress syndrome (RDS) is a major cause of neonatal morbidity and mortality. It is a breathing disorder characterized by a deficiency or inactivity of surfactant in the lungs of preterm and term babies and if not treated, it leads to serious complications like pneumothorax, emphysema, bronchopulmonary dysplasia and death.
Objective: To estimate the effect of surfactant therapy on oxygen requirement and neonatal mortality as well as the incidence of RDS in the special care neonatal unit (SCNU) in the AL Batool Teaching Hospital in Diyala Governorate.
Patients and Methods: A sample of 2000 patients with signs and symptoms of RDS at the time of presentation was prospectively collected from the 1st of July 2022 until the 1st of March 2023 in SCNU at Al-Batool Teaching Hospital. Gestational age, body weight, the use of oxygen, surfactant therapy, and continuous positive airway pressure (CPAP) were taken into consideration in assessing the outcome of RDS neonates.
Results: There was a significant relationship between surfactant administrations, the period of staying on CPAP, and oxygen demand as the p-value was < 0.001 for both. Neonates who received surfactant had a lower mortality rate, with an incidence of 2.5%; the p-value was < 0.001. Incidence of neonatal RDS was 694 (34.7%).
Conclusion: Since the incidence of RDS was 34.7%, surfactant therapy should be routine in neonatal special and intensive care units. Proper use of surfactant (proper timing and mode of administration) reduces oxygen demand, the need for CPAP, hospitalization, and mortality among those neonates
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
Green synthesized ZnO-Fe2O3-Co3O4 nanocomposite for antioxidant, microbial disinfection and degradation of pollutants from wastewater.
No full textMicrobial resistance, industrial and agricultural wastes are the major concerning problems of today’s world. Herein is a highly efficient incubated ZnO–Fe2O3–Co3O4 nanocomposite derived from Cordia myxa through a green chemistry approach. UV–visible spectroscopy (UV–Vis) was confirmed the peak on 508 and 387 with the
energy bandgap of 2.2eV for I-NC. X-ray diffraction analysis (XRD) revealed the diffraction pattern of incubated nanocomposites (I-NC) that ZnO showed hexagonal, while Co3O4 and Fe2O3 showed cubic structure. SEM analyses show the patterns comprising the crystal morphology of flower-ZnO, agglomerated Fe2O3 spongy rhombohedral Co3O4. The results of antibacterial activity show that the I-NC have a greater value of zone of inhibition (ZOI) against bacterial strains than NC, with the highest percentage in this trend P-aeruginosa94%>Saureus91%>K-pneumonia89%>E-coli87%>P-vulgaris81%. The photocatalytic activity data showed that the Methylene Blue, Methyl Orange, Rhodamine-B, P-Nitroaniline, and Cresol Red dyes were degraded in the presence of INC catalysts after sunlight irradiation. The degradation efficiencies of I-NC show the trend Methylene Blue (99.98%) > P-Nitroaniline (99.97%) > Rhodamine-B (99.86%) > Cresol Red (99.80%) > Methyl Orange (99.6%). This study reported that the use of the Cordia myxa for the formulation of incubated nanocomposite could be employed as a novel antibacterial agent to inhibit bacterial growth and biofilm formation and photocatalytic agent
Hybrid closed loop insulin therapy versus standard therapy in pregnant women with type 1 diabetes: A systematic review and meta-analysis of randomized controlled trials
No full textObjective: We aimed to explore the efficacy and safety of hybrid closed loop (HCL) systems compared to standard care (SC) in pregnant women with Type 1 Diabetes Mellitus (T1DM), pooling results from randomized controlled trials (RCTs). Data sources: We searched through multiple databases like PubMed, Cochrane, Embase, Web of Science, and Clinicaltrials.gov etc. from inception to September 2024 and found six relevant studies after screening. Study eligibility criteria: We included studies that were (1) RCTs; with patient population (2) pregnant patients with type 1 diabetes; intervention group receiving (3) HCL and control group receiving (4) SC; while reporting (5) outcomes of interest (endpoints). We pooled results pertaining to primary outcomes; time in range (TIR), nocturnal time in range (nTIR), and HbA1c; and relevant secondary outcomes. Study appraisal and synthesis methods: We used Rob 2: A revised Cochrane risk-of-bias tool for randomized trials for quality assessment of the included RCTs. We employed the DerSimonian-Laird random effects model using review manager 5.4 to analyze the pooled estimates and reported results as risk ratio; for dichotomous outcomes; or mean difference; for continuous outcomes. Results: Five RCTs (n = 274) with disparate populations were narrowed down for analysis. Pooled estimates for TIR (MD 4.95 %;−0.56 to 10.49)and HbA1c% (MD 0.09; −0.44 to 0.63) were statistically non-significant, while estimates for nTIR (MD 11.16 %; 7.15 to 15.15), % time < 63 mg/dL (MD –0.78; −1.36 to −0.20), % of time < 54 mg/dL (MD –0.22; −0.40 to −0.03), low blood glucose index (LBGI) (MD –0.30; −0.54 to −0.06), and glucose standard deviation (MD −3.05; −6.06 to −0.04) favored HCL over SC. No significant between-group differences were found in other secondary outcomes: % of time >140 mg/dL, % of time >180 mg/dL, mean glucose level, rate of serious adverse events, cesarian delivery, and severe hypoglycemia. Conclusions: HCL systems can improve glycemic control in pregnant women with T1DM with a tolerable adverse event profile, however more research is needed to draw a definitive conclusion
Synthesis of aryl pyrazole via Suzuki coupling reaction, in vitro mushroom tyrosinase enzyme inhibition assay and in silico comparative molecular docking analysis with Kojic acid
No full textAryl pyrazoles are well recognized class of heterocyclic compounds found in several commercially available drugs. Owing to their significance in medicinal chemistry, in this current account we have synthesized a series of suitably substituted aryl pyrazole by employing Suzuki cross-coupling reaction. All compounds were evaluated for inhibition of mushroom tyrosinase enzyme both in vitro and in silico. Compound 3f (IC 50 = 1.568 ± 0.01 µM) showed relatively better potential compared to reference kojic acid (IC 50 = 16.051 ± 1.27 µM). A comparative docking studies showed that compound 3f have maximum binding affinity against mushroom tyrosinase (PDBID: 2Y9X) with binding energy value (−6.90 kcal/mol) as compared to Kojic acid. The 4-methoxy group in compound 3f shows 100% interaction with Cu. Compound 3f displayed hydrogen binding interaction with His61 and His94 at distance of 1.71 and 1.74 Å which might be responsible for higher activity compared to Kojic acid.Fil: Channar, Pervaiz Ali. Quaid-i-azam University; PakistánFil: Saeed, Aamer. Quaid-i-azam University; PakistánFil: Larik, Fayaz Ali. Quaid-i-azam University; PakistánFil: Batool, Bakhtawar. Quaid-i-azam University; PakistánFil: Kalsoom, Saima. International Islamic University Islamabad; PakistánFil: Hasan, M.M.. Pakistan Institute Of Engineering And Applied Sciences; PakistánFil: Erben, Mauricio Federico. Facultad de Ciencias Exactas, Universidad Nacional de la Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Química Inorgánica "Dr. Pedro J. Aymonino". Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Química Inorgánica "Dr. Pedro J. Aymonino"; ArgentinaFil: El-Seedi, Hesham R.. Uppsala Biomedicinska Centrum;Fil: Ali, Musrat. Quaid-i-azam University; PakistánFil: Ashraf, Zaman. Allama Iqbal Open University; Pakistá
Fault-Tolerant Control in Leader-Follower Distributed Formation Flight System
No full textInternational audienc
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