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Article ; Online: Blockchain-Based Architecture for a Sustainable Supply Chain in Cloud Architecture

Seyyed-Alireza Radmanesh / Alireza Haji / Omid Fatahi Valilai

Sustainability, Vol 15, Iss 9072, p

2023 Volume 9072

Abstract: Blockchain technology, as a well-known technology in financial spaces, has many advantages in non-financial industries and supply chains. Two of the main benefits of blockchain technology are smart contracts and distributed decision-making processes. ... ...

Abstract	Blockchain technology, as a well-known technology in financial spaces, has many advantages in non-financial industries and supply chains. Two of the main benefits of blockchain technology are smart contracts and distributed decision-making processes. These features can be especially useful in implementing Industry 4.0. Moreover, this technology can increase productivity in supply chains by enhancing transparency, reducing operational costs, and improving monitoring and supervision throughout the lifecycle of products. In this paper, we introduce a blockchain-based architecture for a supply chain in cloud architecture. This approach leads to the more efficient implementation of Industry 4.0 and increases sustainability in the supply chain. In this study, we aim to investigate whether the proposed blockchain-based platform affects sustainability in the supply chain. From a sustainability perspective, we solve the large-scale problem of a cloud-based production–distribution system in centralized and distributed states. The results of the solution indicate a significant improvement in the decentralized state compared to the centralized state and this improvement enhances sustainability in the supply chain. We verify the proposed model by considering an axiomatic design algorithm. In the distributed model, the system cost is reduced by up to 45%, and the solving time is decreased by approximately 51% in pessimistic conditions and by about 87% in optimistic conditions. These improvements directly enhance economic and environmental sustainability, resulting in reduced energy consumption.
Keywords	blockchain technology ; cloud-based production–distribution system ; Industry 4.0 ; sustainable supply chain ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	620
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Case 299: Sellar Spine.

Radmanesh, Alireza / Young, Matthew G

Radiology

2022 Volume 302, Issue 3, Page(s) 724–728

Abstract: History Part one of this case appeared 4 months previously and may contain larger images. A 32-year-old woman presented to an ophthalmologist for bilateral blurry vision. She underwent MRI of the brain and orbits, which showed a focal abnormality within ... ...

Abstract	History Part one of this case appeared 4 months previously and may contain larger images. A 32-year-old woman presented to an ophthalmologist for bilateral blurry vision. She underwent MRI of the brain and orbits, which showed a focal abnormality within the pituitary gland. The patient was referred to an endocrinologist for further evaluation. Review of systems and physical examination by the endocrinologist revealed no symptoms or signs of endocrine dysfunction. Anterior pituitary hormone levels, including growth hormone, prolactin, thyroid stimulating hormone, follicular-stimulating hormone, luteinizing hormone, and adrenocorticotropic hormone, were normal. Dynamic contrast-enhanced MRI of the sella and pituitary gland and subsequent CT of the anterior skull base were performed.
MeSH term(s)	Adult ; Diagnosis, Differential ; Female ; Humans ; Magnetic Resonance Imaging ; Sella Turcica/abnormalities ; Sella Turcica/diagnostic imaging ; Tomography, X-Ray Computed
Language	English
Publishing date	2022-02-23
Publishing country	United States
Document type	Case Reports ; Journal Article
ZDB-ID	80324-8
ISSN	1527-1315 ; 0033-8419
ISSN (online)	1527-1315
ISSN	0033-8419
DOI	10.1148/radiol.203443
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Article ; Online: Case 299.

Radmanesh, Alireza / Young, Matthew G

Radiology

2021 Volume 301, Issue 2, Page(s) 487–489

Abstract: History A 32-year-old woman presented to an ophthalmologist for bilateral blurry vision. She underwent MRI of the brain and orbits, which showed a focal abnormality within the pituitary gland. The patient was referred to an endocrinologist for further ... ...

Abstract	History A 32-year-old woman presented to an ophthalmologist for bilateral blurry vision. She underwent MRI of the brain and orbits, which showed a focal abnormality within the pituitary gland. The patient was referred to an endocrinologist for further evaluation. Review of systems and physical examination by the endocrinologist revealed no symptoms or signs of endocrine dysfunction. Anterior pituitary hormone levels, including growth hormone, prolactin, thyroid stimulating hormone, follicular stimulating hormone, luteinizing hormone, and adrenocorticotropic hormone, were normal. Dynamic contrast-enhanced MRI of the sella and pituitary gland (Figs 1-3) and subsequent CT of the anterior skull base (Figs 4, 5) were performed.
Language	English
Publishing date	2021-10-25
Publishing country	United States
Document type	Journal Article
ZDB-ID	80324-8
ISSN	1527-1315 ; 0033-8419
ISSN (online)	1527-1315
ISSN	0033-8419
DOI	10.1148/radiol.2021203442
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Article ; Online: Blockchain-based cloud manufacturing platforms: A novel idea for service composition in XaaS paradigm.

Radmanesh, Seyyed-Alireza / Haji, Alireza / Fatahi Valilai, Omid

PeerJ. Computer science

2021 Volume 7, Page(s) e743

Abstract: Cloud manufacturing is a new globalized manufacturing framework which has improved the performance of manufacturing systems. The service-oriented architecture as the main idea behind this framework means that all resources and capabilities are considered ...

Abstract	Cloud manufacturing is a new globalized manufacturing framework which has improved the performance of manufacturing systems. The service-oriented architecture as the main idea behind this framework means that all resources and capabilities are considered as services. The agents interact by way of service exchanging, which has been a part of service composition research topics. Service allocations to demanders in a cloud manufacturing system have a dynamic behavior. However, the current research studies on cloud-based service composition are mainly based on centralized global optimization models. Therefore, a distributed deployment and real-time synchronization platform, which enables the globalized collaboration in service composition, is required. This paper proposes a method of using blockchain to solve these issues. Each service composition is considered as a transaction in the blockchain concept. A block includes a set of service compositions and its validity is confirmed by a predefined consensus mechanism. In the suggested platform, the mining role in blockchain is interpreted as an endeavor for proposing the proper service composition in the manufacturing paradigm. The proposed platform has interesting capabilities as it can increase the response time using the blockchain technology and improve the overall optimality of supply-demand matching in cloud manufacturing. The efficiency of the proposed model was evaluated by investigating a service allocation problem in a cloud manufacturing system in four large scale problems. Each problem is examined in four centralized modes, two, three and four solvers in blockchain-based model. The simulation results indicate the high quality of the proposed solution. The proposed solution will lead to at least 15.14% and a maximum of 34.8 percent reduction in costs and 20 to 68.4 percent at the solving time of the problem. It is also observed that with increasing the number of solvers (especially in problems with larger dimensions) the solution speed increases sharply (more than 68% improvement in some problems), which indicates the positive effect of distribution on reducing the problem-solving time.
Language	English
Publishing date	2021-12-08
Publishing country	United States
Document type	Journal Article
ISSN	2376-5992
ISSN (online)	2376-5992
DOI	10.7717/peerj-cs.743
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Article: A Worm's Tale or Why to Avoid the Raccoon Latrine: A Case of

Goldman-Yassen, Adam E / Derman, Anna / Madan, Rebecca Pellett / Radmanesh, Alireza

Case reports in radiology

2022 Volume 2022, Page(s) 5199863

Abstract: The raccoon ... ...

Abstract	The raccoon roundworm
Language	English
Publishing date	2022-08-21
Publishing country	United States
Document type	Case Reports
ZDB-ID	2627655-0
ISSN	2090-6870 ; 2090-6862
ISSN (online)	2090-6870
ISSN	2090-6862
DOI	10.1155/2022/5199863
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Article ; Online: Blockchain-based cloud manufacturing platforms

Seyyed-Alireza Radmanesh / Alireza Haji / Omid Fatahi Valilai

PeerJ Computer Science, Vol 7, p e

A novel idea for service composition in XaaS paradigm

2021 Volume 743

Abstract	Cloud manufacturing is a new globalized manufacturing framework which has improved the performance of manufacturing systems. The service-oriented architecture as the main idea behind this framework means that all resources and capabilities are considered as services. The agents interact by way of service exchanging, which has been a part of service composition research topics. Service allocations to demanders in a cloud manufacturing system have a dynamic behavior. However, the current research studies on cloud-based service composition are mainly based on centralized global optimization models. Therefore, a distributed deployment and real-time synchronization platform, which enables the globalized collaboration in service composition, is required. This paper proposes a method of using blockchain to solve these issues. Each service composition is considered as a transaction in the blockchain concept. A block includes a set of service compositions and its validity is confirmed by a predefined consensus mechanism. In the suggested platform, the mining role in blockchain is interpreted as an endeavor for proposing the proper service composition in the manufacturing paradigm. The proposed platform has interesting capabilities as it can increase the response time using the blockchain technology and improve the overall optimality of supply-demand matching in cloud manufacturing. The efficiency of the proposed model was evaluated by investigating a service allocation problem in a cloud manufacturing system in four large scale problems. Each problem is examined in four centralized modes, two, three and four solvers in blockchain-based model. The simulation results indicate the high quality of the proposed solution. The proposed solution will lead to at least 15.14% and a maximum of 34.8 percent reduction in costs and 20 to 68.4 percent at the solving time of the problem. It is also observed that with increasing the number of solvers (especially in problems with larger dimensions) the solution speed increases sharply ...
Keywords	Cloud manufacturing ; Blockchain technology ; Service composition ; Proof of optimality ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	629
Language	English
Publishing date	2021-12-01T00:00:00Z
Publisher	PeerJ Inc.
Document type	Article ; Online
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Article ; Online: COVID-19-associated delayed posthypoxic necrotizing leukoencephalopathy.

Radmanesh, Alireza / Derman, Anna / Ishida, Koto

Journal of the neurological sciences

2020 Volume 415, Page(s) 116945

MeSH term(s)	Betacoronavirus/isolation & purification ; COVID-19 ; Coronavirus Infections/complications ; Coronavirus Infections/virology ; Humans ; Hypoxia, Brain/complications ; Hypoxia, Brain/pathology ; Leukoencephalopathies/complications ; Leukoencephalopathies/diagnostic imaging ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/complications ; Pneumonia, Viral/virology ; SARS-CoV-2 ; White Matter/pathology
Keywords	covid19
Language	English
Publishing date	2020-05-27
Publishing country	Netherlands
Document type	Case Reports ; Letter
ZDB-ID	80160-4
ISSN	1878-5883 ; 0022-510X ; 0374-8642
ISSN (online)	1878-5883
ISSN	0022-510X ; 0374-8642
DOI	10.1016/j.jns.2020.116945
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Article ; Online: Anatomical variations in posterior part of the circle of Willis and their associations with brain infarct in different vascular territories

Maryam Haghighimorad / Hooman Bahrami-Motlagh / Elahe Salehi / Alireza Radmanesh

The Egyptian Journal of Radiology and Nuclear Medicine, Vol 53, Iss 1, Pp 1-

2022 Volume 7

Abstract: Abstract Background The relationship between anatomical variations in circle of Willis and brain infarction is controversial. The purpose of this study was to evaluate the relationship between anatomical variations in posterior portion of the circle of ... ...

Abstract	Abstract Background The relationship between anatomical variations in circle of Willis and brain infarction is controversial. The purpose of this study was to evaluate the relationship between anatomical variations in posterior portion of the circle of Willis assessed by MR angiography (MRA) and ischemic infarction in different brain territories. Methods This cross-sectional study was conducted on consecutive patients who underwent brain MRI and MRA for suspected cerebrovascular accident. The frequency of anatomical variations including persistent fetal origin of posterior cerebral artery (fPCA) and hypoplastic/aplastic posterior communicating artery (PCoA) and their association with infarction in different intracranial vascular territories was assessed. Results In total, 298 patients (155 male/143 female with mean age ± SD of 57 ± 15) were enrolled in the study and categorized into two groups with infarction (n = 142) and without infarction (n = 156). Sixty-three patients (21/1%) had fPCA and 231 (77.5%) had PCoA hypoplasia/aplasia. No significant correlation was identified between fPCA or PCoA hypoplasia/aplasia and presence of infarction. However, regarding the territories involved by infarction, the frequency of thalamus infarction was higher in subgroup with PCoA hypoplasia/aplasia, 17/101 (16.8%) compared to 1/41(2.4%) in the subgroup without ipsilateral PCoA hypoplasia/aplasia (p = 0.024). In two subgroups with and without ipsilateral fPCA variation, frequency of infarction in brain territories was not different significantly. Conclusions In patients with brain infarction, aplastic/hypoplastic ipsilateral PCoA is associated with higher incidence of thalamic territory infarction.
Keywords	Circle of Willis ; MR angiogram ; Posterior cerebral artery ; Posterior communicating artery ; Brain infarction ; Medical physics. Medical radiology. Nuclear medicine ; R895-920
Subject code	616 ; 610
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
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Article ; Online: Online spike sorting via deep contractive autoencoder.

Radmanesh, Mohammadreza / Rezaei, Ahmad Asgharian / Jalili, Mahdi / Hashemi, Alireza / Goudarzi, Morteza Moazami

Neural networks : the official journal of the International Neural Network Society

2022 Volume 155, Page(s) 39–49

Abstract: Spike sorting - the process of separating spikes from different neurons - is often the first and most critical step in the neural data analysis pipeline. Spike-sorting techniques isolate a single neuron's activity from background electrical noise based ... ...

Abstract	Spike sorting - the process of separating spikes from different neurons - is often the first and most critical step in the neural data analysis pipeline. Spike-sorting techniques isolate a single neuron's activity from background electrical noise based on the shapes of the waveforms obtained from extracellular recordings. Despite several advancements in this area, an important remaining challenge in neuroscience is online spike sorting, which has the potential to significantly advance basic neuroscience research and the clinical setting by providing the means to produce real-time perturbations of neurons via closed-loop control. Current approaches to online spike sorting are not fully automated, are computationally expensive and are often outperformed by offline approaches. In this paper, we present a novel algorithm for fast and robust online classification of single neuron activity. This algorithm is based on a deep contractive autoencoder (CAE) architecture. CAEs are neural networks that can learn a latent state representation of their inputs. The main advantage of CAE-based approaches is that they are less sensitive to noise (i.e., small perturbations in their inputs). We therefore reasoned that they can form the basis for robust online spike sorting algorithms. Overall, our deep CAE-based online spike sorting algorithm achieves over 90% accuracy in sorting unseen spike waveforms, outperforming existing models and maintaining a performance close to the offline case. In the offline scenario, our method substantially outperforms the existing models, providing an average improvement of 40% in accuracy over different datasets.
MeSH term(s)	Action Potentials/physiology ; Models, Neurological ; Signal Processing, Computer-Assisted ; Algorithms ; Neurons/physiology
Language	English
Publishing date	2022-08-05
Publishing country	United States
Document type	Journal Article
ZDB-ID	740542-x
ISSN	1879-2782 ; 0893-6080
ISSN (online)	1879-2782
ISSN	0893-6080
DOI	10.1016/j.neunet.2022.08.001
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Article: Cerebral amyloidoma: A mimicker of granulomatous disease on brain MRI.

Radmanesh, Alireza / Wood, Matthew D / Bollen, Andrew W

Journal of neuroradiology = Journal de neuroradiologie

2019 Volume 46, Issue 5, Page(s) 336–339

MeSH term(s)	Amyloidosis/complications ; Amyloidosis/diagnostic imaging ; Amyloidosis/pathology ; Brain/diagnostic imaging ; Brain/pathology ; Brain Neoplasms/complications ; Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/pathology ; Diagnosis, Differential ; Gliosis/diagnostic imaging ; Gliosis/pathology ; Humans ; Magnetic Resonance Imaging ; Male ; Middle Aged
Language	English
Publishing date	2019-03-07
Publishing country	France
Document type	Case Reports ; Letter
ZDB-ID	131763-5
ISSN	1773-0406 ; 0150-9861
ISSN (online)	1773-0406
ISSN	0150-9861
DOI	10.1016/j.neurad.2019.02.009
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