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Interactions of zinc and cadmium toxicity in their effects on growth and in antioxidative systems in tomato plants (Solanum lycopersicum)

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Journal of Environmental Sciences 2011年第5期23卷 837-844页

作者： Jaouhra Cherif chamseddine mediouni Wided Ben Ammar Fatma Jemal Unit of Research "Nitrogenized Nutrition and Metabolism and Stress Proteins" UR 99/09-20 Department of BiologyFaculty of Science University of Tunis Tunis 2092 Tunisia Unit of Research "Nitrogenized Nutrition and Metabolism and Stress Proteins" UR 99/09-20 Department of BiologyFaculty of ScienceUniversity of Tunis Tunis 2092 Tunisia

The interaction between zinc and cadmium was investigated in tomato plants （Solanum lycopersicum）. Ten-day-old seedlings were treated with 10 μmol/L CdC12 associated to different concentrations of ZnC12 （10, 50, 100, and 150 μmol/L）. Zn supply clearly reduced Cd accumulation in leaves and simultaneously increased Zn concentration. Cd induced oxidative stress in leaves as indicated by an increase in thiobarbituric acid-reactive substances （TBARS） level and chlorophyll breakdown. Furthermore, compared with control, Cd- treated plants had significantly higher activities of superoxide dismutase （SOD, EC 1.***.1.1）, whereas, catalase （CAT, EC 1.***.1.6）, ascorbate peroxidase （APX, EC 1.***.1.11）, and glutathione reductase （GR, EC 1.***.4.2） activities were significantly suppressed by Cd addition. Zn supplementation, at low level, restored and enhanced the functional activity of these enzymes （SOD, CAT, APX and GR） as compared to Cd-alone-treated plants. The beneficial effect of adequate Zn level on Cd toxicity was confirmed by a significant decrease in TBARS level and restoration of chlorophyll content. However, when Zn was added at high level in combination with Cd there was an accumulation of oxidative stress, which was higher than that for Cd or excess Zn alone treatments. These results suggested that higher Zn concentrations and Cd are synergistic in their effect on plant growth parameters and oxidative stress.

关键词： Solanum lycopersicum cadmium zinc oxidative stress antagonism synergism.

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MARIE:One-Stage Object Detection Mechanism for Real-Time Identifying of Firearms

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 279-298页

作者： Diana Abi-Nader Hassan Harb Ali Jaber Ali Mansour Christophe Osswald Nour Mostafa chamseddine Zaki Computer Science Department Faculty of SciencesLebanese UniversityBeirut146404Lebanon College of Engineering and Technology American University of the Middle EastEgaila54200Kuwait Lab-STICC CNRS UMR 6285ENSTA-BretagneBrest29200France

Security and safety remain paramount concerns for both governments and individuals *** today’s context,the frequency of crimes and terrorist attacks is alarmingly increasing,becoming increasingly intolerable to ***,there is a pressing need for swift identification of potential threats to preemptively alert law enforcement and security forces,thereby preventing potential attacks or violent *** advancements in big data analytics and deep learning have significantly enhanced the capabilities of computer vision in object detection,particularly in identifying *** paper introduces a novel automatic firearm detection surveillance system,utilizing a one-stage detection approach named MARIE(Mechanism for Realtime Identification of Firearms).MARIE incorporates the Single Shot Multibox Detector(SSD)model,which has been specifically optimized to balance the speed-accuracy trade-off critical in firearm detection *** SSD model was further refined by integrating MobileNetV2 and InceptionV2 architectures for superior feature extraction *** experimental results demonstrate that this modified SSD configuration provides highly satisfactory performance,surpassing existing methods trained on the same dataset in terms of the critical speedaccuracy *** these innovations,MARIE sets a new standard in surveillance technology,offering a robust solution to enhance public safety effectively.

关键词： Firearm and gun detection single shot multi-box detector deep learning one-stage detector MobileNet inception convolutional neural network

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Fertility sparing endometriosis surgery: A review

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Gynecology and Obstetrics Clinical Medicine 2021年第3期1卷 112-118页

作者： Amira Quevedo Resad Pasic Alexandria Connor Petra chamseddine Department of Obstetrics and Gynecology and Women's Health University of Louisville Hospital550 South Jackson StreetLouisvilleKY40202USA

Background:Endometriosis is a chronic inflammatory condition involving endometrial-like tissue outside of the *** are no medical management options available to improve fertility in patients with known endometriosis prior to ***,the fertility sparing surgical techniques used to manage endometriomas and colorectal endometriosis are controversial prior to natural conception and implementing assisted reproductive ***:A literature search,including PubMed and the Cochrane Library,was performed from November 2020 to February 2021 and articles in English that addressed endometriosis associated infertility and surgical treatments were *** review provides a comprehensive evidence-based evaluation of fertility sparing endometriosis ***:The pathogenesis of endometriosis and its role in infertility is poorly understood and *** management of patients with painful endometriomas continues to be excision,whereas small asymptomatic endometriomas require an individualized *** endometriosis excision improves pregnancy rates in retrospective and prospective cohort ***,randomized control trials are still needed to confirm these findings and their functional risks must be carefully discussed with the ***:Surgical excision of endometriosis improves fertility in patients with symptomatic *** research with randomized controlled trials is needed to determine if surgery is mandatory prior to implementing assisted reproductive technologies in those patients with asymptomatic endometriosis and infertility.

关键词： Laparoscopy Endometriosis Fertility Minimally invasive gynecologic surgery

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CRISE: Toward Better Understanding of COVID-19 Psychological Impact during Lockdown

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Journal of Computer and Communications 2021年第8期9卷 13-31页

作者： Hussein Baalbaki Hassan Harb chamseddine Zaki Youssef Alakoury Layla Tannoury Michel Nabaa Faculty of Sciences Lebanese University Beirut Lebanon Faculty of Business Administration and Economics Lebanese University Rashaya Lebanon Faculty of Letters and Human Sciences Lebanese University Zahle Lebanon

Recently, the COVID-19 emerged in China and propagated around all the world has threatened millions of people and affected most countries and governments at several sides such as economical, educational, tourism, healthcare, etc. Indeed, one of the most important challenges that directly affect the people is the psychological side due to the harsh policies imposed by public authorities in most countries. In this paper, we propose a framework called CRISE that allows studying and understanding the psychological effect of COVID-19 during the lockdown period. Mainly, CRISE consists of four data stages: Collection, tRansformation, reductIon, and cluStEring. The first stage collects data from more than 2000 participants through a questionnaire containing attributes related to psychological effect before and during the lockdown. The second stage aims to preprocess the data before performing the study stage. The third stage proposes a model that finds the similarities among the attributes, based on the correlation matrix, to reduce its number. Finally, the fourth stage introduces a new version of Kmeans algorithm, called as Jaccard-based Kmeans (JKmeans), that allows to group participants having similar psychological situation in the same cluster for a later analysis. We show the effectiveness of CRISE in terms of clustering accuracy and understanding the psychological effect of COVID-19.

关键词： COVID-19 Mental Health Data Clustering Similarity Function Data Reduction Correlation Matrix

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Fighting against COVID-19: Who Failed and Who Succeeded?

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Journal of Computer and Communications 2022年第4期10卷 32-50页

作者： Hussein Baalbaki Hassan Harb Ali Jaber chamseddine Zaki Chady Abou Jaoude Kifah Tout Layla Tannoury Faculty of Sciences Lebanese University Beirut Lebanon College of Engineering and Technology American University of the Middle East Egaila Kuwait Ticket Lab Faculty of Engineering Antonine University Baabda Lebanon Faculty of Business Administration and Economics Lebanese University Rashaya Lebanon

Recently, governments and public authorities in most countries had to face the outbreak of COVID-19 by adopting a set of policies. Consequently, some countries have succeeded in minimizing the number of confirmed cases while the outbreak in other countries has led to their healthcare systems breakdown. In this work, we introduce an efficient framework called COMAP (COrona MAP), aiming to study and predict the behavior of COVID-19 based on deep learning techniques. COMAP consists of two stages: clustering and prediction. The first stage proposes a new algorithm called Co-means, allowing to group countries having similar behavior of COVID-19 into clusters. The second stage predicts the outbreak’s growth by introducing two adopted versions of LSTM and Prophet applied at country and continent scales. The simulations conducted on the data collected by WHO demonstrated the efficiency of COMAP in terms of returning accurate clustering and predictions.

关键词： COVID-19 Data Clustering and Prediction Co-Means ANOVA LSTM Prophet

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Maternal Obesity,Gestational Diabetes,and Fetal Macrosomia:An Incidental or a Mechanistic Relationship?

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Maternal-Fetal Medicine 2023年第1期5卷 27-30页

作者： Mohammad A.Salameh Olubunmi Oniya Reem S.chamseddine Justin C.Konje Department of Medical Education Weill Cornell Medicine–QatarDohaQatar Department of Obstetrics&Gynecology Sidra MedicineDohaQatar Department of Health Sciences University of LeicesterLeicester LE17HAUK

Gestational diabetes mellitus(GDM)is a well-established risk factor for fetal macrosomia.A significant number of patients with GDM also suffer from obesity,a factor associated with fetal *** important question is whether GDM is independently associated with fetal macrosomia,or whether this relationship is merely the result of maternal obesity acting as a *** this review of the literature,we attempt to further elucidate the relationship between GDM,maternal obesity,and fetal macrosomia.

关键词： Fetal macrosomia Gestational diabetes Maternal obesity Maternal weight gain Pre-pregnancy weight

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