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Stable Isotopic Signatures of NO₃ in Waste Water Effluent and Los Angeles River

Journal of Water Resource and Protection 2024年第1期16卷 102-122页

作者： Isaac Hall mohammad hassan rezaie boroon Department of Geography Geology and Environment California State University Los Angeles California USA

A metropolitan city such as Los Angeles (LA) is an ideal study site with a very high population density, and it houses at least 3 treatment plants where sewage is treated preliminarily and then progressing to tertiary treatment before discharging into the LA River. We will gain a better understanding of the water quality in the LA River and the nitrate load in the watershed system by examining the influence of waste water treatment plants (WWTPs). The goal of this study is to pinpoint the exact source of nitrate in the LA River using the isotope signatures. We have selected sampling locations both upstream and downstream of the WWTP. This serves to monitor nitrate levels, aiding in the assessment of treatment plant effectiveness, pinpointing nitrate pollution sources, and ensuring compliance with environmental regulations. The research explores the isotopic composition of NO3 in relation to atmospheric nitrogen and Vienna Standard Mean Ocean Water, shedding light on the contributions from various sources such as manure, sewage, soil organic nitrogen, and nitrogen fertilizers. Specifically, there is a change in the δ15NAir value between the dry and wet seasons. The isotope values in the Tillman WWTP sample changed between dry and wet seasons. Notably, the presence of nitrate originating from manure and sewage is consistent across seasons, emphasizing the significant impact of anthropogenic and agricultural activities on water quality. This investigation contributes to the broader understanding of nitrogen cycling in urban water bodies, particularly in the context of wastewater effluent discharge. The findings hold implications for water quality management and highlight the need for targeted interventions to mitigate the impact of nitrogen-containing compounds on aquatic ecosystems. Overall, the study provides a valuable framework for future research and environmental stewardship efforts aimed at preserving the health and sustainability of urban water resources. This

关键词： Metropolitan City Los Angeles Treatment Plants Sewage Treatment Nitrate Source Isotope Signatures Water Quality

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Monitoring Water Quality in Ballona Lagoon, Los Angeles, California: Nitrate Level Fluctuation in Low and High Tide Condition

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Journal of Water Resource and Protection 2023年第7期15卷 333-345页

作者： mohammad hassan rezaie-boroon Georgina Campos Marleni Estrada Patrik Kwan Daniel Venegas Geography Geology and Environment Department California State University Los Angeles California USA

The coastal wetland, Ballona Lagoon in Southern California has experienced degradation and size reduction due to urbanization. This study analyzes nitrate concentrations in the lagoon to identify contamination sources and assess its impact. The study includes determining nitrate levels during high and low tides during wet and dry seasons, establishing concentration gradients, and examining the relationship between salinity and nitrate concentrations. The nitrate concentrations were found to be higher in locations closer to the head of the lagoon, particularly in urbanized areas, suggesting land-based sources during the dry season’s high tide (S2: 2.37 mg/l;S3: 3.85 mg/l;S4: 3.91 mg/l). Findings highlight the importance of managing nitrate contamination near urban areas. Monitoring nitrate levels over time are crucial for sustainability efforts. This research emphasizes the need for long-term monitoring and conservation strategies to mitigate nitrate contamination in Ballona Lagoon.

关键词： Ballona Lagoon Urbanization Nitrate Contamination Nitrification

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The Source of Arsenic and Nitrate in Borrego Valley Groundwater Aquifer

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Journal of Water Resource and Protection 2014年第17期6卷 1589-1602页

作者： mohammad hassan rezaie-boroon Jessica Chaney Bradley Bowers California State University Los Angeles Geosciences and Environment Department Los Angeles USA

Groundwater in California is very precious, yet what we can withdraw is often contaminated with natural and anthropogenic pollution sources. We have examined the Borrego Valley (BV) groundwater (N = 6 wells) in southern California to understand the source of arsenic and nitrate in some of its groundwater production wells. The results show that the arsenic values range from <2 ppb to 12.2 ppb and the nitrate values from <1 ppm to 10.2 ppm for different wells respectively. The results showed that the arsenic concentration increased 270% for the well # ID1-10 since 2004 and showed an increase of 63% since 2013 respectively. For other wells the results showed an increase of 147% and 72% since 2001. The nitrate concentration has jumped 42% in concentration since last year in one of the wells. The objective of this study is to understand the nature and source of arsenic and nitrate in BV groundwater aquifer as to how this change in arsenic and nitrate concentration occurs through the time. The arsenic retention in the sediments is highly variable and controlled by local processes as a result of natural weathering process of metamorphic bedrock. The second results from the development of strongly reducing conditions at near-neutral pH values, leading to the desorption of arsenic from mineral oxides and to the reductive dissolution of Fe and Mn oxides, also leading to arsenic release. The high arsenic concentrations in some groundwater wells in Borrego Valley CA require the need for reconnaissance surveys in mineralized areas of fractured crystalline basement. Net groundwater extraction values are based on an irrigation efficiency of 78 percent with 14 to 22 percent irrigation return. We believe that the return flow from irrigational activity could be one of the major sources of nitrate transferring the agricultural contaminants such as nitrate to Borrego Valley aquifer.

关键词： Hydrogeology Hydrogeochemistry Groundwater Borrego Valley Return Flow

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The anti-neoplastic effects of metformin modulate the acquired phenotype of fbroblast cells in the breast cancer-normal fbroblast co-culture system

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Oncology Research 2024年第3期32卷 477-487页

作者： SAMANEH MOSTAFAVI ZUHAIR mohammad hassan Department of Immunology Faculty of Medical SciencesTarbiat Modares UniversityTehranIran

Intracellular communications between breast cancer and fibroblast cells were reported to be involved in cancer proliferation,growth,and therapy *** hallmarks of cancer fibroblast interactions,consisting of caveolin 1(Cav1)and mono-carboxylate ransporter 4(MCT4)(metabolic coupling markers),along with IL-6,TGFB,and lactate secretion,are considered robust biomarkers predicting recurrence and *** order to promote a novel phenotype in normal fibroblasts,we predicted that breast cancer cells could be able to cause loss of Cavl and increase of MCT4,as well as elevate IL 6 and TGF in nearby nomal *** created a co culture model using breast cancer(4T1)and normal fibroblast(NIH3T3)cell lines cultured under specific experimental conditions in order to directly test our ***,we show that long-term co-culture of breast cancer cells and normal fibroblasts promotes loss of Cavl and gain of MCT4 in adjacent fibroblasts and increase lactate *** results were validated using the monoculture of each group separately as a *** this system,we show that me tformin inhibits IL-6 and TGFB secretion and re expresses Cavl in both ***,MCT4 and lactate stayed high after treatment with *** conclusion,our work shows that co-culture with breast cancer cells may cause signifcant alterations in the phenotype and secretion of normal ***,however,may change this state and affect fibroblasts'acquired ***,mitochondrial inhibition by metformin after 8 days of treatment,signi ficantly hinders tumor growth in mouse model of breast cancer.

关键词： Caveolin 1 Lactic acid Metformin NIH 3T3 cells Neoplasms

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Coupling between the Changes in CO<sub>2</sub>Concentration and Sediment Biogeochemistry in Mudflat of Salinas de San Pedro, California, USA

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Journal of Environmental Protection 2013年第10期4卷 1173-1180页

作者： mohammad hassan rezaie-boroon Sonya Diaz Vanessa Torres Tresa Lazzaretto Dimitri D. Deheyn Geosciences and Environment Department California State University Los Angeles USA University of California San Diego Scripps Institution of Oceanography La Jolla USA

We investigated the effects of elevated carbon dioxide (CO2) on biogeochemistry of marsh sediment including speciation of selected heavy metals in Salinas de San Pedro mudflat in California. The Salinas de San Pedro mudflat has higher carbon (C) content than the vast majority of fully-vegetated salt marshes even with the higher tidal action in the mudflat. Sources for CO2 were identified as atmospheric CO2 as well as due to local fault degassing process. We measured carbon dioxide, methane, total organic carbon, dissolved oxygen, salinity, and heavy metal concentration in various salt marsh locations. Overall, our results showed that CO2 concentration ranging from 418.7 to 436.9 (ppm), which are slightly different in various chambers but are in good agreement with some heavy metal concentrations values in mudflat at or around the same location. The selected metal concentration values (ppm) ranging from 0.003 - 0.011 (As);0.001 - 0.005 (Cd);0.04 - 0.02 (Cr);0.13 - 0.38 (Cu);0.11 - 0.38 (Pb);0.0009 - 0.020 (Se);and 0.188 - 0.321 (Zn). The low dissolved oxygen (ppm) in the pore water sediment indicated suboxic environment. Additionally, CO2 (ppm) and loss on ignition (LOI) (%) correlated inversely;the higher CO2 content, the lower was the LOI (%);that is to say the excess CO2 causes higher rates of decomposition and therefore it leads to lower LOI (%) on the mudflat surface. It appears that the elevated CO2 makes changes in salt marsh pore water chemistry for instance the free ionic metal (Cu2+, Pb2+, etc.) speciation is one of the most reactive form because simply assimilated by the non-decayed or alive organisms in sediment of salt marsh and/or in water. This means that CO2 not only is a sign of improvement in plant productivity, but also activates microbial decomposition through increases in dissolved organic carbon availability. CO2 also increases acidification processes such as anaerobic degradation of microorganism and oxidation of reduced components. The heavy m

关键词： Biogeochemical Factors Elevated CO2 Degassing Gas Discharge Fault Sulfate Reduction Salinas de San Pedro Climate Change

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The Geochemistry of Heavy Metals in the Mudflat of Salinas de San Pedro Lagoon, California, USA

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Journal of Environmental Protection 2013年第1期4卷 12-25页

作者： mohammad hassan rezaie-boroon Vanessa Toress Sonya Diaz Teresa Lazzaretto Mathew Tsang Dimitri D. Deheyn California State University Geosciences and Environment Department Los Angeles USA University of California Scripps Institute of Oceanography La Jolla USA

Sediment core samples were collected from the Salinas de San Pedro to assess the pollutant deposition processes in response to extensive human activities. Analysis of the sediment samples for heavy metals and some trace elements was conducted with ICP-OES for 20 sites showing enrichment for some of trace and heavy metals. The results demonstrated that heavy metal concentrations in mud varied greatly for each metal, with concentration values (mg/g) ranging from 1.05 - 4.8 (Al);0.003 - 0.011(As);0.001 - 0.005 (Cd);0.02 to 0.82 (Cr);0.085 - 0.47 (Cu);5.98 - 14.22 (Fe);0.06 - 0.19 (Mn);0.03 - 0.67 (Ni);0.05 - 0.38 (Pb);- 0.069 (Se);0.18 - 0.63 (Ti);0.040 - 0.091 (V) and 0.149 - 0.336 (Zn). The Index of Geo-accumulation factor showed highest values for Pb, Mn, As, and Cu. Enrichment factors >1for these elements suggest anthropogenic inputs for most metals. The bioavailability of metals in lagoon sediments has the potential to be highly dynamic with local waste and natural H2S discharge from existing fault line.

关键词： Salinas De San Pedro Bioavailability Heavy Metal Geo-Accumulation Index Enrichment Factor Lagoon Water Pollution

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Ensemble Wind Power Prediction Interval with Optimal Reserve Requirement

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Journal of Modern Power Systems and Clean Energy 2024年第1期12卷 65-76页

作者： Hamid rezaie Cheuk Hei Chung Nima Safari the Saskatchewan Power Corporation(SaskPower) ReginaSaskatchewanCanada the Department of Electrical and Computer Engineering and Department of Human Biology University of TorontoTorontoON M5S 3G4Canada the Alberta Electric System Operator(AESO) CalgaryAlbertaCanada

Wind power prediction interval(WPPI)models in the literature have predominantly been developed for and tested on specific case ***,wind behavior and characteristics can vary significantly across ***,a prediction model that performs well in one case might underperform in *** address this shortcoming,this paper proposes an ensemble WPPI framework that integrates multiple WPPI models with distinct characteristics to improve *** important and often overlooked factor is the role of probabilistic wind power prediction(WPP)in quantifying wind power uncertainty,which should be handled by operating *** reserve in WPPI frameworks enhances the efficacy of *** this regard,the proposed framework employs a novel bi-layer optimization approach that takes both WPPI quality and reserve requirements into *** analysis with different real-world datasets and various benchmark models validates the quality of the obtained WPPIs while resulting in more optimal reserve requirements.

关键词： Ensemble model linear programming operating reserve optimal reserve requirement prediction interval probabilistic prediction renewable integration uncertainty representation wind power prediction(WPP)

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Transparent and Accurate COVID-19 Diagnosis:Integrating Explainable AI with Advanced Deep Learning in CT Imaging

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 3101-3123页

作者： mohammad Mehedi hassan Salman A.AlQahtani Mabrook S.AlRakhami Ahmed Zohier Elhendi Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Science Technology and Innovation Department King Saud UniversityRiyadh11543Saudi Arabia

In the current landscape of the COVID-19 pandemic,the utilization of deep learning in medical imaging,especially in chest computed tomography(CT)scan analysis for virus detection,has become increasingly *** its potential,deep learning’s“black box”nature has been a major impediment to its broader acceptance in clinical environments,where transparency in decision-making is *** bridge this gap,our research integrates Explainable AI(XAI)techniques,specifically the Local Interpretable Model-Agnostic Explanations(LIME)method,with advanced deep learning *** integration forms a sophisticated and transparent framework for COVID-19 identification,enhancing the capability of standard Convolutional Neural Network(CNN)models through transfer learning and data *** approach leverages the refined DenseNet201 architecture for superior feature extraction and employs data augmentation strategies to foster robust model *** pivotal element of our methodology is the use of LIME,which demystifies the AI decision-making process,providing clinicians with clear,interpretable insights into the AI’s *** unique combination of an optimized Deep Neural Network(DNN)with LIME not only elevates the precision in detecting COVID-19 cases but also equips healthcare professionals with a deeper understanding of the diagnostic *** method,validated on the SARS-COV-2 CT-Scan dataset,demonstrates exceptional diagnostic accuracy,with performance metrics that reinforce its potential for seamless integration into modern healthcare *** innovative approach marks a significant advancement in creating explainable and trustworthy AI tools for medical decisionmaking in the ongoing battle against COVID-19.

关键词： Explainable AI COVID-19 CT images deep learning

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The global stability and optimal control of the COVID-19 epidemic model

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International Journal of Biomathematics 2024年第1期17卷 1-28页

作者： Fengsheng Chien hassan Saberi Nik mohammad Shiraziant J.F.Gomez-Aguilar School of Finance and Accounting Fuzhou University of International Studies and Trade Fuzhou 352020 P.R.China Faculty of Business City university of Macao Macao 999078P.R.China Department of Mathematics and Statistics University of Neyshabur NeyshaburIran CONACyT-Tecnologico Nacional de Mécico/CENIDET Interior Internado Palmira S/N Col.Palmira C.P.62490CuernavacaMorelosMérico

This paper considers stability analysis of a Susceptible-Exposed-Infected-Recovered-Virus(SEIRV)model with nonlinear incidence rates and indicates the severity and weakness of control factors for disease *** Lyapunov function using Volterra-Lyapunov matrices makes it possible to study the global stability of the endemic equilibrium *** optimal control strategy is proposed to prevent the spread of coronavirus,in addition to governmental *** objective is to minimize together with the quantity of infected and exposed individuals while minimizing the total costs of treatment.A numerical study of the model is also carried out to investigate the analytical results.

关键词： Global stability SEIRV epidemic model dynamical systems Volterra-Lyapunov stability optimal control

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Fully flexible implantable neural probes for electrophysiology recording and controlled neurochemical modulation

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Microsystems & Nanoengineering 2024年第3期10卷 317-333页

作者： mohammad hassan Malekoshoaraie Bingchen Wu Daniela DKrahe Zabir Ahmed Stephen Pupa Vishal Jain Xinyan Tracy Cui Maysamreza Chamanzar Electrical and Computer Engineering Carnegie Mellon UniversityPittsburghPA 15213USA Bioengineering University of PittsburghPittsburghPA 15260USA Center for Neural Basis of Cognition University of Pittsburgh and Carnegie Mellon UniversityPittburgh 15213USA McGowan Institute for Regenerative Medicine University of PittsburghPittsburgh 15219USA Carnegie Mellon Neuroscience Institute Carnegie Mellon UniversityPittsburgh 15213USA

Targeted delivery of neurochemicals and biomolecules for neuromodulation of brain activity is a powerful technique that,in addition to electrical recording and stimulation,enables a more thorough investigation of neural circuit *** have designed a novel,flexible,implantable neural probe capable of controlled,localized chemical stimulation and electrophysiology *** neural probe was implemented using planar micromachining processes on Parylene C,a mechanically flexible,biocompatible *** probe shank features two large microelectrodes(chemical sites)for drug loading and sixteen small microelectrodes for electrophysiology recording to monitor neuronal response to drug *** reduce the impedance while keeping the size of the microelectrodes small,poly(3,4-ethylenedioxythiophene)(PEDOT)was electrochemically coated on recording *** addition,PEDOT doped with mesoporous sulfonated silica nanoparticles(SNPs)was used on chemical sites to achieve controlled,electrically-actuated drug loading and *** neurotransmitters,including glutamate(Glu)and gamma-aminobutyric acid(GABA),were incorporated into the SNPs and electrically triggered to release *** in vitro experiment was conducted to quantify the stimulated release profile by applying a sinusoidal voltage(0.5 V,2 Hz).The flexible neural probe was implanted in the barrel cortex of the wild-type Sprague Dawley *** expected,due to their excitatory and inhibitory effects,Glu and GABA release caused a significant increase and decrease in neural activity,respectively,which was recorded by the recording *** novel flexible neural probe technology,combining on-demand chemical release and high-resolution electrophysiology recording,is an important addition to the neuroscience toolset used to dissect neural circuitry and investigate neural network connectivity.

关键词： Parylene recording release

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