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Magnetic polyacrylonitrile/ZIF-8/Fe_(3)O_(4) nanocomposite bead as an efficient iodine adsorbent and antibacterial agent

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Chinese Journal of Chemical Engineering 2023年第9期61卷 210-220页

作者： Reza Sacourbaravi Zeinab Ansari-Asl esmaeil Darabpour Department of Chemistry Faculty of ScienceShahid Chamran University of AhvazAhvazIran Department of Biology Faculty of ScienceShahid Chamran University of AhvazAhvazIran

The efficient adsorption of radioactive iodine(^(129)I and^(131)I)as nuclear waste is of great *** nanocomposites consist of metal-organic frameworks(MOFs)developing for various pollutions sorption and separation have attracted much *** study reports the fabrication of magnetic polyacrylonitrile(PAN)/zeolitic imidazolate frameworks(ZIF-8)nanocomposites,PAN/ZIF-8(x%)/Fe_(3)O_(4),x=30 and 50,as iodine capture *** PAN/ZIF-8(x%)/Fe_(3)O_(4)nanocomposite beads were fabricated via the phase inversion method,and their potential for iodine capture and separation in solution and vapor was investigated through UV-vis and weighing methods,***,antibacterial activity of the as-prepared beads was assessed against *** and *** as-fabricated compounds were studied by various techniques such as Fourier-transform infrared,X-ray diffraction,scanning electron microscope,energy-dispersive X-ray spectroscopy mapping,transmission electron microscope,N_(2)adsorption isotherm,and vibrating sample *** iodine capture results showed that the efficiency of nanocomposites is remarkably higher than the pure PAN ***,the asprepared nanocomposite adsorbents displayed higher capture capacities for iodine vapor(1524-4345mg·g^(-1))than iodine solution(187-295 mg·g^(-1)).The as-obtained magnetic nanocomposites can be successfully separated from polluted media by simple filtration or an external magnet,regenerated through washing with ethanol,and *** capturing,high sorption capacity,rapid separation,and good reusability make the PAN/ZIF-8(x%)/Fe_(3)O_(4)nanocomposites highly effective adsorbents for the separation of iodine from ***,PAN/ZIF-8(50%)/Fe_(3)O_(4)bead can be considered as a potential new antibacterial agent for water and wastewater treatment.

关键词： ZIF-8 Polyacrylonitrile Composites Adsorption Waste treatment Antibacterial agent

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A hybrid framework to analyze crisis management system maturity in sociotechnical systems

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Journal of Safety Science and Resilience 2022年第4期3卷 302-320页

作者： Kamran Gholamizadeh esmaeil Zarei Saman Poursiahbidi Omid Kalatpour Center of Excellence for Occupational health and research Center of Health SciencesHamadan University of Medical SciencesHamadan ***Iran Centre for Risk Integrityand Safety Engineering(C-RISE)Faculty of Engineering and Applied ScienceMemorial University of NewfoundlandNL A1B 3X5Canada HSE Management Department Occupational Health and Safety Research CenterHamadan University of Medical SciencesHamadan ***Iran

In recent decades,numerous catastrophic accidents have occurred worldwide,ranging from natural events(such as tsunamis,flooding,and earthquakes)to industrial events(such as mining and chemical process disasters).They endanger humans,the environment,organizations,and societies,as well as national ***,there have been few attempts to propose a model for assessing the required capabilities and potential challenges in crisis management system maturity(CMSM).Accordingly,this study proposes a framework for measuring CMSM levels in complex *** this end,a CMSM taxonomy was developed,including aspects,dimensions,and factors influencing the *** inference sets and fuzzy analytical hierarchy processes are then used for knowledge acquisition,quantification of the CMSM,and dealing with epistemic *** actual complex petrochemical plant is investigated to evaluate its *** findings revealed the most significant con-tributing factors:the CMSM’s current capability and challenges level(score),as well as the capacity to overcome the potential crisis response ***,the proposed model can be used as a practical approach for various chemical-processing plants.

关键词： Crisis management system maturity Crisis capabilities Crisis challenges Chemical process industries Fuzzy sets theory

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Targeting immune checkpoints:how to use natural killer cells for fighting against solid tumors

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Cancer Communications 2023年第2期43卷 177-213页

作者： Farhoodeh Ghaedrahmati Nafiseh esmaeil Maryam Abbaspour Department of Immunology School of MedicineIsfahan University of Medical SciencesIsfahanIran Research Institute for Primordial Prevention of Non-Communicable Disease Isfahan University of Medical SciencesIsfahanIran Department of Pharmaceutical Biotechnology Faculty of PharmacyIsfahan University of Medical SciencesIsfahanIran

Natural killer(NK)cells are unique innate immune cells that mediate antiviral and anti-tumor ***,they might hold great potential for cancer *** cell adoptive immunotherapy in humans has shown modest *** particular,it has failed to demonstrate therapeutic efficiency in the treatment of solid tumors,possibly due in part to the immunosuppressive tumor microenvironment(TME),which reduces NK cell immunotherapy’s *** is known that immune checkpoints play a prominent role in creating an immunosuppressive TME,leading to NK cell exhaustion and tumor immune ***,NK cells must be reversed from their dysfunctional status and increased in their effector roles in order to improve the efficiency of cancer *** of immune checkpoints can not only rescue NK cells from exhaustion but also augment their robust anti-tumor *** this review,we discussed immune checkpoint blockade strategies with a focus on chimeric antigen receptor(CAR)-NK cells to redirect NK cells to cancer cells in the treatment of solid tumors.

关键词： natural killer cell immune checkpoint chimeric antigen receptor-natural killer cell immunotherapy tumor

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A predictive model of death from cerebrovascular diseases in intensive care units

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Intelligent Medicine 2023年第4期3卷 267-279页

作者： Mohammad Karimi Moridani Seyed Kamaledin Setarehdan Ali Motie Nasrabadi esmaeil Hajinasrollah Department of Biomedical Engineering Faculty of HealthTehran Medical SciencesIslamic Azad UniversityTehranIran Control and Intelligent Processing Centre of Excellence School of Electrical and Computer EngineeringCollege of EngineeringUniversity of TehranTehranIran Departments of Biomedical Engineering Shahed UniversityTehranIran Loghman Medical Center Shahid Beheshti University of Medical SciencesTehranIran

Objective This study aimed to explore the mortality prediction of patients with cerebrovascular diseases inthe intensive care unit(ICU)by examining the important signals during different periods of admission in theICU,which is considered one of the new topics in the medical *** approaches have been proposed forprediction in this *** of these methods has been able to predict mortality somewhat,but many of thesetechniques require recording a large amount of data from the patients,where recording all data is not possiblein most cases;at the same time,this study focused only on heart rate variability(HRV)and systolic and diastolicblood *** The ICU data used for the challenge were extracted from the Multiparameter Intelligent Monitoring inIntensive Care II(MIMIC-II)Clinical *** proposed algorithm was evaluated using data from 88 cerebrovascular ICU patients,48 men and 40 women,during their first 48 hours of ICU *** electrocardiogram(ECG)signals are related to lead II,and the sampling frequency is 125 *** time of admission and time ofdeath are labeled in all *** this study,the mortality prediction in patients with cerebral ischemia is evaluated using the features extracted from the return map generated by the signal of HRV and blood *** the patient’s future condition,the combination of features extracted from the return mapping generatedby the HRV signal,such as angle(𝛼),area(A),and various parameters generated by systolic and diastolic bloodpressure,including DBPMax−Min SBPSD have been ***,to select the best feature combination,the geneticalgorithm(GA)and mutual information(MI)methods were *** sample t-test statistical analysis was usedto compare the results of two episodes(death and non-death episodes).The P-value for detecting the significancelevel was considered less than *** The results indicate that the new approach presented in this paper can be compared with other methodsor l

关键词： Death prediction Cerebrovascular diseases Intensive care unit Heart rate variability Systolic and diastolic blood pressure Return map

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Delay-Constrained Optimized Packet Aggregation in High-Speed Wireless Networks

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Journal of Computer Science & Technology 2013年第3期28卷 525-539页

作者： Peyman teymoori Nasser Yazdani School of Electrical and Computer Engineering University College of Engineering University of Tehran School of Computer Science Institute for Research in Fundamental Sciences

High-speed wireless networks such as IEEE 802.11n have been introduced based on IEEE 802.11 to meet the growing demand for high-throughput and multimedia applications. It is known that the medium access control （MAC） efficiency of IEEE 802.11 decreases with increasing the physical rate. To improve efficiency, few solutions have been proposed such as Aggregation to concatenate a number of packets into a larger frame and send it at once to reduce the protocol overhead. Since transmitting larger frames eventuates to dramatic delay and jitter increase in other nodes, bounding the maxi- mum aggregated frame size is important to satisfy delay requirements of especially multimedia applications. In this paper, we propose a scheme called Optimized Packet Aggregation （OPA） which models the network by constrained convex optimization to obtain the optimal aggregation size of each node regarding to delay constraints of other nodes. OPA attains proportionally fair sharing of the channel while satisfying delay constrains. Furthermore, reaching the optimal point is guaranteed in OPA with low complexity. Simulation results show that OPA can successfully bound delay and meet the requirements of nodes with only an insignificant throughput penalty due to limiting the aggregation size even in dynamic conditions.

关键词： high-speed wireless network delay requirement aggregation convex optimization

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Pattern discovery of long non-coding RNAs associated with the herbal treatments in breast and prostate cancers

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Quantitative Biology 2023年第3期11卷 343-358页

作者： Elham Dalalbashi Esfahani esmaeil Ebrahimie Ali Niazi Manijeh Mohammadi Dehcheshmeh Institute of Biotechnology Shiraz UniversityShiraz ***Iran Genomics Research Platform School of AgricultureBiomedicine and EnvironmentLa Trobe UniversityMelbourneVictoria 3086Australia School of Animal and Veterinary Sciences The University of AdelaideSouth Australia 5005Australia School of BioSciences The University of MelbourneVictoria 3052Australia

Background:Accumulating evidence shows that long non-coding RNAs(lncRNAs)play critical roles in cancer *** possible association between lncRNAs and herbal medicine is yet to be *** study aims to identify medicinal herbs associated with lncRNAs by RNA-seq data for breast and prostate ***:To develop the optimal approach for identifying cancer-related lncRNAs,we implemented two steps:(1)applying protein–protein interaction(PPI),Gene Ontology(GO),and pathway analyses,and(2)applying attribute weighting and finding the efficient classification model of the machine learning ***:In the first step,GO terms and pathway analyses on differential co-expressed mRNAs revealed that lncRNAs were widely co-expressed with metabolic process *** identified two hub lncRNA-mRNA networks that implicate lncRNAs associated with breast and prostate *** the second step,we implemented various machine learning-based prediction systems(Decision Tree,Random Forest,Deep Learning,and Gradient-Boosted Tree)on the non-transformed and Z-standardized differential co-expressed *** on five-fold cross-validation,we obtained high accuracy(91.11%),high sensitivity(88.33%),and high specificity(93.33%)in Deep Learning which reinforces the biomarker power of identified lncRNAs in this *** data originally came from different cell lines at different durations of herbal treatment intervention,we applied seven attribute weighting algorithms to check the effects of variables on identifying *** weighting results showed that the cell line and time had little or no effect on the selected lncRNAs ***,we identified one known lncRNAs,downregulated RNA in cancer(DRAIC),as an essential ***:This study will provide further insights to investigate the potential therapeutic and prognostic targets for prostate cancer(PC)and breast cancer(BC)in common.

关键词： RNA-Seq lncRNA cancer co-expression machine learning attribute weighting

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Development of a new correlation to calculate permeability for flows with high Knudsen number

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Chinese Physics B 2016年第2期25卷 271-277页

作者： esmaeil Dehdashti Department of Mechanical Engineering University of Tehran

Flows with high Knudsen number play a prominent role in many engineering applications. The present study is an effort toward the simulation of flow with high Knudsen number using modified lattice Boltzmann method （LBM） through a porous medium in a channel. The effect of collision between molecules and solid walls, which is required to accurately simulate transition flow regime, is taken into account using a modified relaxation time. Slip velocity on the wall, which is another significant difficulty in simulating transition flow regime, is captured using the slip reflection boundary condition （SRBC）. The geometry of porous medium is considered as in-line and staggered. The results are in good agreement with previous works. A new correlation is obtained between permeability, Knudsen number and porosity for flows in transition flow regimes.

关键词： flow in porous micro-channel lattice Boltzmann method high Knudsen number permeability

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A Two-stage Adaptive Robust Model for Residential Micro-CHP Expansion Planning

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Journal of Modern Power Systems and Clean Energy 2021年第4期9卷 826-836页

作者： Fatemeh teymoori Hamzehkolaei Nima Amjady Bahareh Bagheri Department of Electrical Engineering Semnan UniversitySemnanIran

This paper addresses the planning problem of residential micro combined heat and power (micro-CHP) systems (including ‎micro-generation units, auxiliary boilers, and thermal storage tanks) considering the associated technical and economic factors. Since the accurate values of the thermal and electrical loads of this system cannot be exactly predicted for the planning horizon, the thermal and electrical load uncertainties are modeled using a two-stage ‎adaptive robust optimization method based on a ‎polyhedral uncertainty set. A solution method, which is composed of column-and-constraint generation (C&CG) algorithm ‎and block coordinate descent (BCD) method, is proposed to efficiently solve this adaptive robust optimization model. Numerical results ‎from a practical case study show the effective performance of the proposed adaptive robust model for residential micro-CHP planning and its solution method.

关键词： Micro combined heat and power(micro-CHP)planning two-stage adaptive robust optimization model block coordinate descent method polyhedral uncertainty set

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Corrosion Behaviors of Two Types of Commercial Stainless Steel after Plastic Deformation

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Journal of Materials Science & Technology 2010年第9期26卷 833-838页

作者： esmaeil Jafari Materials Science and Engineering Department Islamic Azad University Shiraz Branch

The influence of deformation temperature,strain rate and alloying elements such as chromium,nickel,copper,on corrosion resistance of a 304 stainless steel after plastic deformation was *** techniques employed were tensile test at room and elevated temperature,deep drawing tests at various strain rates,X-ray diffraction test and potentiodynamic and cyclic polarization,metallography by optical and scanning electron *** showed that chromium,nickel and copper had a significant effect on corrosion resistance of steel after plastic *** was observed that corrosion resistance after plastic deformation was a function of deformation temperature and alloying elements.

关键词： Corrosion resistance Plastic deformation Stainless steel Phase transformation Polarization test

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Optimized algorithm in mine production planning, mined material destination, and ultimate pit limit

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Journal of Central South University 2018年第6期25卷 1475-1488页

作者： Rahimi esmaeil Department of Mining Engineering Islamic Azad University

在采矿工程经济中,矿山生产计划、开采材料目的地和最终开采极限(UPL)之间存在着整体的联系,而实际信息及其在采矿经济中产生的效应会加强这种联系,因此,建立优化算法来减少经济计算的误差是非常重要的。本文提出一种考虑重要设计参数... 详细信息

在采矿工程经济中,矿山生产计划、开采材料目的地和最终开采极限(UPL)之间存在着整体的联系,而实际信息及其在采矿经济中产生的效应会加强这种联系,因此,建立优化算法来减少经济计算的误差是非常重要的。本文提出一种考虑重要设计参数和经济性的逻辑数学算法,该算法在不同的设计成分之间建立了一个优化的重复过程,并使其将矿山经济参数最大化,产生最大的矿石量和最高的安全度。该模型在截止品位、矿井设计和矿山规划之间建立了新的关系,并通过计算目标提供了最大的效益。结果表明:与以往的生产设计和生产方法相比,矿山生产的净现值提高了3%。

关键词：优化算法生产计划目的地材料工程经济设计参数经济计算数学算法

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