Sajid Alam

ORCID: 0009-0004-0048-1884
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About
Contact & Profiles
Research Areas
  • Stroke Rehabilitation and Recovery
  • COVID-19 Clinical Research Studies
  • Acute Ischemic Stroke Management
  • SARS-CoV-2 and COVID-19 Research
  • Long-Term Effects of COVID-19
  • Intensive Care Unit Cognitive Disorders
  • Cellular Mechanics and Interactions
  • Energy Efficient Wireless Sensor Networks
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Healthcare Systems and Practices
  • Software-Defined Networks and 5G
  • Health, Medicine and Society
  • Trauma and Emergency Care Studies
  • Micro and Nano Robotics
  • Microtubule and mitosis dynamics
  • Neurological Disorders and Treatments
  • Caching and Content Delivery
  • Atrial Fibrillation Management and Outcomes
  • Botulinum Toxin and Related Neurological Disorders
  • Cerebrovascular and Carotid Artery Diseases
  • Integrated Energy Systems Optimization
  • IoT and Edge/Fog Computing
  • Network Traffic and Congestion Control
  • Catalysts for Methane Reforming
  • Data Management and Algorithms

Michigan State University
2024

Jeju National University
2023-2024

East Suffolk and North Essex NHS Foundation Trust
2020-2023

Ipswich Hospital
2017-2023

North China Electric Power University
2020

<b><i>Background:</i></b> Acute stroke patients are usually transported to the nearest hospital regardless of their required level care. This can lead increased pressure on emergency departments and treatment delay. <b><i>Objective:</i></b> The aim study was explore benefit a mobile unit (MSU) in UK National Health Service (NHS) for reduction admissions. <b><i>Methods:</i></b> Prospective cohort audit observation with...

10.1159/000508910 article EN cc-by-nc Cerebrovascular Diseases 2020-01-01

Background Despite proven benefits, the use of single‐purpose mobile stroke units (MSUs) has raised concerns about their effective and cost‐efficient integration into clinical practice, especially when considered for operation in nonurban areas. The MSU concept may benefit from opening indication spectrum to include frequent mimics additional emergencies. Methods current observational study evaluated benefits treatment triage decision‐making an with extended capabilities (Hybrid‐MSU), also...

10.1161/svin.122.000482 article EN Stroke Vascular and Interventional Neurology 2022-12-31

The recent advancements in network systems, including Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and cloud networking, have revolutionized management by increasing efficiency reducing manual effort. This has led to improved agility deploying new services, enabling scaling of resources, making it easier handle sudden increases demand, efficiently accessing solutions. However, the heterogeneous infrastructure physical links' capability still impact performance...

10.1109/noms56928.2023.10154296 article EN NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium 2023-05-08

ABSTRACT Axonal outgrowth, cell crawling, and cytokinesis utilize actomyosin, microtubule-based motors, cytoskeletal dynamics, substrate adhesions to produce traction forces bulk cellular motion. While it has long been appreciated that growth cones resemble crawling cells the mechanisms drive help power they are typically viewed as unique processes. To better understand relationship between these modes of motility, here, we developed a unified active fluid model cytokinesis, amoeboid...

10.1101/2024.05.22.595337 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-05-23

While the structural organization and molecular biology of neurons are well characterized, physical process axonal elongation remains elusive. The classic view posited occurs through deposition cytoskeletal elements in growth cone at tip a stationary array microtubules. Yet, recent studies reveal microtubules docked organelles flow forward bulk elongating axons

10.3389/fcell.2024.1491429 article EN cc-by Frontiers in Cell and Developmental Biology 2024-10-17

This paper presents an intelligent communication mechanism and sharing resources between a Service Requesting Cloud Node (SRN) Providing (SPN). The proposed selects the most optimal SPN among all SPNs, deployed at TEIN (Trans Eurasia Information Network) in South Korea, Pakistan, Malaysia. uses Machine Learning model for selecting HTTP tunneling with Observer Pattern API communication. data obtained using monitoring tools is used to train machine learning models node based on minimum...

10.22541/au.167601253.38722534/v1 preprint EN Authorea (Authorea) 2023-02-10
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