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基于DRASTIC-LU参数和数据驱动模型的地下水硝酸盐脆弱性分区 被引量:1
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作者 Seyed Ahmad Eslaminezhad Mobin Eftekhari mohammad akbari 《北京工业大学学报》 CAS CSCD 北大核心 2021年第12期1338-1359,共22页
从开采、管理和控制不同地区的污染的角度,评估地下水脆弱性以确定这些资源的优先次序是重要的.研究的目的是基于DRASTIC-LU参数以及空间和非空间数据驱动的方法来估算Birjand平原含水层的地下水(硝酸盐质量浓度)脆弱性.研究提出新的组... 从开采、管理和控制不同地区的污染的角度,评估地下水脆弱性以确定这些资源的优先次序是重要的.研究的目的是基于DRASTIC-LU参数以及空间和非空间数据驱动的方法来估算Birjand平原含水层的地下水(硝酸盐质量浓度)脆弱性.研究提出新的组合方法来确定(Birjand平原含水层)地下水脆弱性分区中合适的DRASTICLU参数,即将具有指数和双平方核的地理加权回归(geographically weighted regression,GWR)和人工神经网络(artificial neural network,ANN)与二进制粒子群优化算法(binary particle swarm optimization,BPSO)相结合.计算结果为:对于ANN、指数核GWR和双平方核GWR的适应度函数(1-R^(2))的最佳值分别为0.1060、0.0745和0.0065,这表明双平方核的兼容性比其他方法更高.研究表明DRASTIC-LU参数对研究区域的硝酸盐质量浓度估计的地下水脆弱性有显著影响. 展开更多
关键词 地下水脆弱性 DRASTIC-LU参数 地理加权回归 人工神经网络 二进制粒子群优化算法 数据驱动模型
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Dual effects of 3,4-methylenedioxymethamphetamine (ecstasy) on survival and apoptosis of primary hippocampal neurons 被引量:1
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作者 Abolfazl Azami Parichehr Pasbakhsh +6 位作者 mohammad akbari mohammad Barbarestani mohammadhosein Ghahremani mohammadali Shokrgozar Ali Mandegary Amir Kiani Gholamreza Hassanzadeh 《Neural Regeneration Research》 SCIE CAS CSCD 2009年第12期1068-1072,共5页
BACKGROUND: 3, 4-methylenedioxymethamphetamine (MDMA, also known as "ecstasy") has been shown to exhibit neurotoxic effects on the hippocampus. However, exposure to sub-lethal insults of MDMA has been reported to... BACKGROUND: 3, 4-methylenedioxymethamphetamine (MDMA, also known as "ecstasy") has been shown to exhibit neurotoxic effects on the hippocampus. However, exposure to sub-lethal insults of MDMA has been reported to result in neuroprotection. OBJECTIVE: To investigate the effects of MDMA on hippocampal neuronal viability, caspase-3 activity, and mRNA expression of the N-methyI-D-aspartate (NMDA) receptor 2B (NR2B) subunit. DESIGN, TIME AND SETTING: A cytological, in vitro experiment was performed at the Department of Anatomy, School of Medicine, and Department of Toxicology-Pharmacology, Faculty of Pharmacy Tehran University of Medical Sciences in 2008. MATERIALS: MDMA was extracted from ecstasy tablets, which were kindly supplied by the Pharmacology-Toxicology Department, Faculty of Pharmacy, Tehran University of Medical Sciences, Iran. METHODS: Hippocampal neurons were isolated from Wistar rats at gestational day 18. Following primary culture, hippocampal neuronal viability was detected by MTT assay. Varying concentrations of MDMA (100-5 000 μmol/L) were used to determine lethal concentration 50 (LC50), which was around 1 500 μmol/L. Five concentrations of MDMA below 1 500 μmol/L (100, 200, 400, 800, and 1 050 μmol/L) were used for the remaining experiments. After 24 hours of MDMA treatment, NR2B mRNA expression was detected by RT-PCR, and caspase-3 relative activity was determined by colorimetric assay. MAIN OUTCOME MEASURES: Hippocampal neuronal viability, caspase-3 activity, and NR2B mRNA expression. RESULTS: MDMA-induced neurotoxicity in hippocampal neuronal cultures was dose-dependent. In high concentrations (1 000-5 000μmol/L) of MDMA, neuronal viability was decreased. However, with a 500 μmol/L dose of MDMA, neuronal viability was significantly increased (P 〈 0.01). Low concentrations of MDMA (200 and 400μmol/L) significantly decreased caspase-3 activity (P 〈 0.01), whereas high concentrations of MDMA significantly increased caspase-3 activity (P 〈 0.01). NR2B subunit mRNA expression was not significantly altered after 100 -1 050 μmol/L MDMA exposure. CONCLUSION: MDMA exhibits dual effects on hippocampal neuronal viability and caspase-3 activity. These effects are independent from NR2B subunit expression levels. 展开更多
关键词 3 4-methylenedioxymethamphetamine ECSTASY APOPTOSIS N-methyI-D-aspartate neuronal culture
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A Fault-Tolerant Cooperative Spectrum Sensing Algorithm over Cognitive Radio Network Based on Wireless Sensor Network
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作者 mohammad akbari Abolfazl Falahati 《Wireless Sensor Network》 2011年第3期83-91,共9页
A serious threat to cognitive radio networks that sense the spectrum in a cooperative manner is the transmission of false spectrum sensing data by malicious sensor nodes. SNR fluctuations due to wireless channel effec... A serious threat to cognitive radio networks that sense the spectrum in a cooperative manner is the transmission of false spectrum sensing data by malicious sensor nodes. SNR fluctuations due to wireless channel effects complicate handling such attackers even further. This enforces the system to acquire authentication. Actually, the decision maker needs to determine the reliability or trustworthiness of the shared data. In this paper, the evaluation process is considered as an estimation dilemma on a set of evidences obtained through sensor nodes that are coordinated in an underlying wireless sensor network. Then, a likelihood-based computational trust evaluation algorithm is proposed to determine the trustworthiness of each sensor node's data. The proposed procedure just uses the information which is obtained from the sensor nodes without any presumptions about node’s reliability. Numerical results confirm the effectiveness of the algorithm in eliminating malicious nodes or faulty nodes which are not necessarily conscious attackers. 展开更多
关键词 Cognitive Radio NETWORK (CRN) Cooperative Spectrum Sensing Wireless Sensor NETWORK (WSN) TRUST Evaluation Maximum LIKELIHOOD Estimation (MLE)
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