343 research outputs found
Green supply chain flow analysis with multi-attribute demand in a multi-period product development environment
Green supply chain management is based on performing environmental management into supply chain network in order to decrease the environmental side effects in the product life cycle. So, in this paper, a bi-objective nonlinear programming for an integrated forward/reverse logistics network with the aim of increasing total profit of the network and maximizing the score of green design and quality indicators and green scrap score is discussed. Quality and green design indicators are considered for the forward network and the green scrap score are defined for scrapped products collected and disassembled in the reverse network. The mentioned network includes three echelons in the forward flow (production centers (factories), distribution centers, and customer zones) and three echelons in the reverse flow (collection/disassembly centers, recycling centers, and disposal centers). The main contribution of this study is to consider green design indicators and quality indicators for developing final products. Furthermore, in the model of this research, some constraints are regarded to determine the amount of paper and plastic consumption in the packaging of the products. After presenting the considered model, Multi-objective Particle Swarm Optimization and Non-dominated Sorting Genetic (NSGA-II) meta-heuristic Algorithms are proposed to find a set of Pareto-optimal solutions. Then, their output is compared through some samples with different sizes to prove their workability
Study on constituents of Scutellaria nepetifolia as a potent source of phytochemicals with NO inhibitory effect
Based on the long history of Scutellaria plants in east traditional medicines, several species of Scutellaria showed promising antioxidant, anti-inflammation and neuroprotection effects in pharmacological researches. Using bioassay-guided fractionation of various extract of Scutellaria nepetifolia, an endemic species that grows widely in Iran, based on on nitric oxide (NO) inhibitory activity against H2O2 induced NO production in PC12 pheochromocytoma cells led to the isolation of two iridoid compounds namely, as 6 beta-hydroxy 8-epiboshnaloside (1) and 1,5,9-epideoxy loganic acid (2) and Verbascoside (3). Finally, the interaction of isolated compounds with inducible nitric oxide synthase (iNOS) protein was simulated by molecular docking study. It is the first report of these two iridoid glycosides from Scutellaria spp. All three isolated compounds showed strong interaction with iNOS enzyme in molecular docking simulations. So, they possibly contributed in the NO inhibitory effect of S. nepetifolia
supplemental_material – Supplemental material for The Trend of Interpersonal Violence Mortality at National and Provincial Levels in Iran From 1990 to 2015
Supplemental material, supplemental_material for The Trend of Interpersonal Violence Mortality at National and Provincial Levels in Iran From 1990 to 2015 by Man Amanat, Khatereh Naghdi, Sahar Saeedi Moghaddam, Naser Ahmadi, Nazila Rezaei, Soheil Saadat, Mona Salehi, Parinaz Mehdipour, Sepehr Khosravi, Farzaneh Kianian, Elmira Forootan, Elnaz Hosseini, Zahra Ghodsi, Farideh Sadeghian, Mahdi Sharif-Alhoseini, Seyed Behzad Jazayeri, Pegah Derakhshan, Mohammad Hosein Amirzade-Iranaq, Payman Salamati, Ali H. Mokdad, Gerard O’Reilly, Maziar Moradi-Lakeh and Vafa Rahimi-Movaghar in Journal of Interpersonal Violence</p
Erratum: Immunogenicity, antigenicity and epitope mapping of Salmonella InvH protein: An in silico study
There was an error in the author list of the published article.
Two authors (T Hashempour, Z Hasanshahi) requested to remove from the authors lists. After obtaining the agreement of the authors and the corresponding author, Editor-in-Chief accept the corrections as listed below.
The correct author list is:
Behzad Dehghani, Iraj Rasooli
We apologize for any inconvenience this may have caused.
Erratum for:
Immunogenicity, antigenicity and epitope mapping of Salmonella InvH protein: An in silico study
B Dehghani, T Hashempour, Z Hasanshahi, I Rasooli
J Curr Biomed Rep. 2020; 1(1): 9-16
Neuroprotective Effects of Citrus Fruit-Derived Flavonoids, Nobiletin and Tangeretin in Alzheimer's and Parkinson`s disease
Neurodegenerative diseases, namely Alzheimer`s disease and Parkinson's disease represent a deleterious impact worldwide. Despite extensive preclinical and clinical research in neurodegenerative disorders, therapeutic strategies aimed at the prevention and chronic treatment of neurodegenerative conditions have not been successfully translated to the clinic. Therefore, the identification of novel pharmacological intervention derived from natural products is warranted. Nobiletin and tangeretin are important citrus flavonoids derived from the peel and other parts of Citrus L. genus, and have been shown to exhibit neuroprotective effects in several in vitro and in vivo studies. Apart from there antioxidant and anti-inflammatory effects, nobiletin and tangeretin have been shown to attenuate cholinergic deficits, reduce the abnormal accumulation of neurotoxic amyloid-beta peptides, reverse N-methyl-D-aspartate (NMDA) receptor hypofunction, ameliorate ischemic injury, inhibit hyperphosphorylation of tau protein, enhance neprilysin levels, modulate several signaling cascades, and protect against 1-methyl-4-phenylpyridinium (MPP(+)) and 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) toxicity. Taken together, these naturally occurring phytochemicals may represent beneficial drug candidates for the treatment and prevention of Alzheimer`s and Parkinson's disease
Correction to:Value of 2-[18F]FDG-PET/CT in identifying immune-related adverse events in patients with melanoma or non-small cell lung cancer: a systematic scoping review (Clinical and Translational Imaging, (2024), 12, 2, (187-195), 10.1007/s40336-024-00618-3)
In this article the author name Mohammad Naghavi-Behzad was incorrectly written as Mohammad Naghavi-Bezhad. The original article has been corrected.</p
Optimizing parallel I/O performance of HPC applications
Parallel I/O is an essential component of modern High Performance Computing (HPC). Obtaining good I/O performance for a broad range of applications on diverse HPC platforms is a major challenge, in part because of complex inter-dependencies between I/O middleware and hardware. The parallel file system and I/O middleware layers all offer optimization parameters that can, in theory, result in better I/O performance. Unfortunately, the right combination of parameters is highly dependent on the application, HPC platform, and problem size/concurrency. Scientific application developers do not have the time or expertise to take on the substantial burden of identifying good parameters for each problem configuration. They resort to using system defaults, a choice that frequently results in poor I/O performance. We expect this problem to be compounded on exascale class machines, which will likely have a deeper software stack with hierarchically arranged hardware resources.
We present a line of solution to this problem containing an autotuning system for optimizing I/O performance, I/O performance modeling, I/O tuning, I/O kernel generation, and I/O patterns. We demonstrate the value of these solution across platforms, applications, and at scale.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2017-12-01The student, Babak Behzad, accepted the attached license on 2015-11-20 at 13:31.The student, Babak Behzad, submitted this Dissertation for approval on 2015-11-20 at 13:45.This Dissertation was approved for publication on 2015-11-23 at 13:41.DSpace SAF Submission Ingestion Package generated from Vireo submission #8816 on 2016-03-02 at 14:06:01Made available in DSpace on 2016-03-02T20:23:36Z (GMT). No. of bitstreams: 4
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Previous issue date: 2015-11-23Embargo set by: Seth Robbins for item 91322
Lift date: 2018-03-02T20:24:31Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 91322 on 2018-03-03T10:15:34Z
Competition in dual-channel supply chains: The manufacturers' channel selection
© 2020 The Author(s) Innovative selling channels have brought about opportunities as well as challenges for upstream manufacturers. The past few years have witnessed both the success and failure of manufacturers with different channel strategies. To explore the rationale of different channel strategies in various contexts, we develop a model to analyze a manufacturer's channel selection decision among three channel strategies, i.e., a direct-channel strategy, a retail-channel strategy, and a dual-channel strategy consisting of both direct and retail channels. The model rests on the channel differentiation in terms of consumers’ channel preferences and operating costs of retail and direct channels. Specifically, we incorporate the action of a competitor and track down its influence on the focal manufacturer's channel preference. Our research clarifies the role of competition in the market and offers insights into the competitive nature of business in real life. Results show that the manufacturer's channel preference depends not only on the channels’ operating costs and consumers’ channel preferences but also on the competitor's channel strategy. We find that symmetric manufacturers can adopt asymmetric strategies as Nash equilibria and also that there are situations where no Nash equilibrium exists. We characterize the Nash equilibria in the channel selection game based on the exogenous parameters of the model
A Systematic Review on the Therapeutic Potentiality of PD-L1-Inhibiting MicroRNAs for Triple-Negative Breast Cancer: Toward Single-Cell Sequencing-Guided Biomimetic Delivery
The programmed death-ligand 1 (PD-L1)/programmed cell death protein 1 (PD-1) is a well-established inhibitory immune checkpoint axis in triple-negative breast cancer (TNBC). Growing evidence indicates that tumoral PD-L1 can lead to TNBC development. Although conventional immune checkpoint inhibitors have improved TNBC patients’ prognosis, their effect is mainly focused on improving anti-tumoral immune responses without substantially regulating oncogenic signaling pathways in tumoral cells. Moreover, the conventional immune checkpoint inhibitors cannot impede the de novo expression of oncoproteins, like PD-L1, in tumoral cells. Accumulating evidence has indicated that the restoration of specific microRNAs (miRs) can downregulate tumoral PD-L1 and inhibit TNBC development. Since miRs can target multiple mRNAs, miR-based gene therapy can be an appealing approach to inhibit the de novo expression of oncoproteins, like PD-L1, restore anti-tumoral immune responses, and regulate various intracellular singling pathways in TNBC. Therefore, we conducted the current systematic review based on the preferred reporting items for systematic reviews and meta-analyses (PRISMA) to provide a comprehensive and unbiased synthesis of currently available evidence regarding the effect of PD-L1-inhibiting miRs restoration on TNBC development and tumor microenvironment. For this purpose, we systematically searched the Cochrane Library, Embase, Scopus, PubMed, ProQuest, Web of Science, Ovid, and IranDoc databases to obtain the relevant peer-reviewed studies published before 25 May 2021. Based on the current evidence, the restoration of miR-424-5p, miR-138-5p, miR-570-3p, miR-200c-3p, miR-383-5p, miR-34a-5p, miR-3609, miR-195-5p, and miR-497-5p can inhibit tumoral PD-L1 expression, transform immunosuppressive tumor microenvironment into the pro-inflammatory tumor microenvironment, inhibit tumor proliferation, suppress tumor migration, enhance chemosensitivity of tumoral cells, stimulate tumor apoptosis, arrest cell cycle, repress the clonogenicity of tumoral cells, and regulate various oncogenic signaling pathways in TNBC cells. Concerning the biocompatibility of biomimetic carriers and the valuable insights provided by the single-cell sequencing technologies, single-cell sequencing-guided biomimetic delivery of these PD-L1-inhibiting miRs can decrease the toxicity of traditional approaches, increase the specificity of miR-delivery, enhance the efficacy of miR delivery, and provide the affected patients with personalized cancer therapy
Cytokine-mediated FOXO3a phosphorylation suppresses FasL expression in hemopoietic cell lines: Investigations of the role of Fas in apoptosis due to cytokine starvation
We have investigated phosphatidylinositol 3-kinase (PI3K)-dependent survival signalling pathways using several cytokines in three different hemopoietic cell lines, MC/9, FDC-P1, and TF-1. Cytokines caused PI3K- and PKB-dependent phosphorylation of FOXO3a (previously known as FKHRL1) at three distinct sites. Following cytokine withdrawal or PI3K inhibition, both of which are known to lead to apoptosis, there was a loss of FOXO3a phosphorylation, and a resulting increase in forkhead transcriptional activity, along with increased expression of Fas Ligand (FasL), which could be detected at the cell surface. Concurrently, an increase in cell surface expression of Fas was also detected. Despite the presence of both FasL and Fas, there was no detectable evidence that activation of Fas-mediated apoptotic events was contributing to apoptosis resulting from cytokine starvation or inhibition of PI3K activity. Thus, inhibition of FOXO3a activity is mediated by the PI3K–PKB pathway, but regulation of FasL is not the primary means by which cell survival is regulated in cytokine-dependent hemopoietic cells. We were also able to confirm increased expression of known FOXO3a targets, Bim and p27kip1. Together, these results support the conclusion that mitochondrial-mediated signals play the major role in apoptosis of hemopoietic cells due to loss of cytokine signalling. [ABSTRACT FROM AUTHOR]Peer reviewedfinal article publishedCytokineSignal transductionapoptosisTranscription factorProtein kinas
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