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Computational Intelligence Driven Secure Unmanned Aerial Vehicle Image Classif.cation in Smart City Environment

Computer Systems Science & Engineering 2023年第12期47卷 3127-3144页

作者： f.ras Abedi Hayder M.A.Ghanimi Abeer D.Algarni Naglaa f.Soliman Walid El-Shaf.i Ali Hashim Abbas Zahraa H.Kareem Hussein Muhi Hariz Ahmed Alkhayyat Department of.Mathematics College of EducationAl-Zahraa University forWomenKarbalaIraq Biomedical Engineering Department College of EngineeringUniversity ofWarith Al-AnbiyaaKarbalaIraq Department of.Inf.rmation Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of.Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt College of.Inf.rmation Technology Imam Jaafar Al-Sadiq UniversityAl-Muthanna66002Iraq Department of.Medical Instrumentation Techniques Engineering Al-Mustaqbal University CollegeHillah51001Iraq Computer Engineering Department Mazaya University CollegeDhi QarIraq College of.Technical Engineering The Islamic UniversityNajafIraq

Computational intelligence(CI)is a group of.nature-simulated computationalmodels and processes f.r addressing dif.icult real-lif. *** CI is usef.l in the UAV domain as it produces ef.icient,precise,and rapid ***,unmanned aerial vehicles(UAV)developed a hot research topic in the smart city *** the benef.ts of.UAVs,security remains a major challenging *** addition,deep learning(DL)enabled image classif.cation is usef.l f.r several applications such as land cover classif.cation,smart buildings,*** paper proposes novel meta-heuristics with a deep learning-driven secure UAV image classif.cation(MDLS-UAVIC)model in a smart city *** purpose of.the MDLS-UAVIC algorithm is to securely encrypt the images and classif. them into distinct class *** proposedMDLS-UAVIC model f.llows a two-stage process:encryption and image *** encryption technique f.r image encryption ef.ectively encrypts the UAV ***,the image classif.cation process involves anXception-based deep convolutional neural network f.r the f.ature extraction ***,shuf.led shepherd optimization(SSO)with a recurrent neural network(RNN)model is applied f.r UAV image classif.cation,showing the novelty of.the *** experimental validation of.the MDLS-UAVIC approach is tested utilizing a benchmark dataset,and the outcomes are examined in various *** achieved a high accuracy of.98%.

关键词： Computational intelligence unmanned aerial vehicles deep learning metaheuristics smart city image encryption image classif.cation

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Contemporary solutions f.r patients with microtia and congenital aural atresia-Hong Kong experience

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Journal of.Otology 2016年第4期11卷 -页

作者： Willis S.S.Tsang Michael C.f.Tong Peter K.M.Ku Kunwar S.S.Bhatia Joannie K.Y.Yu Terence K.C.Wong C.Andrew van Hasselt Department of.Otorhinolaryngology Head and Neck Surgery The Chinese University of Hong Kong Prince of Wales Hospital Department of.Imaging & Interventional Radiology The Chinese University of Hong Kong Prince of Wales Hospital

Managing microtia patients is always a challenge. Multidisciplinary approach, good f.mily support, well established doctorepatient rela-tionship and well organised patient-support groups are the essential elements f.r success. With the advancement of.implantable hearing devices, more options will be available f.r the microtia patients. Otologists play a leading role in the whole management process. They not only provide proper guidance to the patients in choosing the correct path of.the treatment, but also play a key role in organising and maintaining a cost-ef.ective multidisciplinary rehabilitation team f.r the microtia patients.

关键词： Microtia Congenital aural atresia Implantable hearing aids Bone conduction

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Statistical Time Series f.recasting Models f.r Pandemic Prediction

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Computer Systems Science & Engineering 2023年第10期47卷 349-374页

作者： Ahmed ElShaf.e Walid El-Shaf.i Abeer D.Algarni Naglaa f.Soliman Moustaf. H.Aly Department of.Electrical Engineering Faculty of EngineeringAhram Canadian University6th October CityGizaEgypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of.Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of.Inf.rmation Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Electronics and Communications Engineering Department College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt

COVID-19 has signif.cantly impacted the growth prediction of.a pandemic,and it is critical in determining how to battle and track the disease *** this case,COVID-19 data is a time-series dataset that can be projected using dif.erent ***,this work aims to gauge the spread of.the outbreak severity over ***,data analytics and Machine Learning(ML)techniques are employed to gain a broader understanding of.virus *** have simulated,adjusted,and f.tted several statistical time-series f.recasting models,linearML models,and nonlinear ML *** of.these models are Logistic Regression,Lasso,Ridge,ElasticNet,Huber Regressor,Lasso Lars,Passive Aggressive Regressor,K-Neighbors Regressor,Decision Tree Regressor,Extra Trees Regressor,Support Vector Regressions(SVR),AdaBoost Regressor,Random f.rest Regressor,Bagging Regressor,AuoRegression,MovingAverage,Gradient Boosting Regressor,Autoregressive Moving Average(ARMA),Auto-Regressive Integrated Moving Averages(ARIMA),SimpleExpSmoothing,Exponential Smoothing,Holt-Winters,Simple Moving Average,Weighted Moving Average,Croston,and naive ***,our suggested methodology includes the development and evaluation of.ensemble models built on top of.the best-perf.rming statistical and ML-based prediction methods.A third stage in the proposed system is to examine three dif.erent implementations to determine which model delivers the best ***,this best method is used f.r f.ture f.recasts,and consequently,we can collect the most accurate and dependable predictions.

关键词： f.recasting COVID-19 predictive models medical viruses mathematical model market research diseases

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THERAPEUTIC Ef.ECT Of.NON-SURGICAL TREATMENT Of.CHRONIC PERIODONTITIS IN DIABETIC CHINESE

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Journal of.Shanghai Second Medical University(f.reign Language Edition) 2004年第1期16卷 22-26页

作者：杨芸珠孙喆胡纯贞杨裕国金力坚梁惠强 Esmond f.Corbet School of.Stomatology SSMU Shanghai 200011 China The prince Philip Dental Hospital University of Hong Kong Hong Kong China

Objective To observe the therapeutic ef.ect of.non-surgical treatment on diabetic Chinese withchronic periodontitis. Methods Moderate to advanced chronic periodontitis ( CP) was studied in 36 diabetes mellitus (DM) patients classif.ed as 20 with high and f.uctuating blood glucose level (DM-H) and 16 with relatively low and stable blood glucose level (DM-L). 28 non-DM CP patients acted as controls (Non-DM). Plaque index (PlI) , gingival index (GI) , bleeding on probing (BOP) , probing depth (PD) and clinical attachment loss (AL) of.all patients were recorded at 6 sites on each tooth at the baseline and 1, 3 and 6 months af.er oral hygiene instruction (OHI), scaling and root planing. Results It was f.und that the short-term ef.ect of.non-surgical periodon-tal procedure had resulted in signif.cant resolution of.gingival inf.ammation and pronounced reduction in pocket depth and gain of.attachment loss in both DM and Non-DM CP patients. Conclusion The pilot study suggested that non-surgical periodontal treatment allowed f.r f.vorable treatment responses in a group of.Chinese diabetic subjects with chronic periodontitis and that their various prof.les of.blood glucose did not inf.uence the short-term healing response to OHI, scaling and root planning.

关键词： treatment response diabetes mellitus chronic periodontitis clinical periodontal variables

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神经阻断剂治疗在长期精神病患者中的地位

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国际精神病学杂志 1987年第3期 179-181页

作者： f.Raf.aif.n ,夏毓芬

三十年来,神经阻断剂的应用改变了慢性精神病的转归。我们应该了解这类药物在这些病人治疗中所占的地位。目前暂限于精神分裂症。Ⅰ-精神病学中神经阻断剂的作用: 自Delay及Deniker发现氯丙嗪临床疗效后,大量病人受益于这治疗。这一发... 详细信息

三十年来,神经阻断剂的应用改变了慢性精神病的转归。我们应该了解这类药物在这些病人治疗中所占的地位。目前暂限于精神分裂症。Ⅰ-精神病学中神经阻断剂的作用: 自Delay及Deniker发现氯丙嗪临床疗效后,大量病人受益于这治疗。这一发现导致的治疗使命现在已远远超过药物本身之作用,对其他领域(心理治疗、社会治疗……)也创造了有利条件,并对住院病人提供了院外治疗。1957年前,2/3精神分裂症病人在医院中度过其大半生,而今95%病人接受院外治疗。大部份神经阻断剂通过数以百计的双盲

关键词：阻断剂病人对抗药神经地位

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必需脂肪酸、前列腺素与精神分裂症

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国外医学（精神病学分册） 1991年第3期18卷 151-153页

作者： David f.Horrobin 孔德娟

必需脂肪酸和前列腺素可能在精神分裂症的发病中起到一定的作用。在精神分裂症患者脑磷脂中发现十八碳和二十碳必需脂肪酸减少,而二十二碳必需脂肪酸增加,富含必需脂肪酸的月见草油可以改善精神分裂症患者的阴性症状和迟发性运动障碍。

关键词：脂肪酸前列腺素精神分裂症

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复发鼻咽癌的挽救性手术

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中国医学文摘（耳鼻咽喉科学） 2007年第6期22卷 331-332页

作者： Alexander Chris Vlantis Michael C f.Tong Department of.Otolaryngology Head and Neck Surgery Prince of Wales Hospitalthe Chinese University of Hong KongShatin NT Hong Kong SARChina

鼻咽癌需要活检来诊断，通过MRI进行分期。在香港，原发性鼻咽癌用外照射放疗，如2-维、3-维适形放疗或调强放疗。腔内短距离放疗或立体定向放疗一般用在需要辅佐增加放疗量时。如果是晚期肿瘤（Ⅲ、Ⅳ期），需进行同步化疗。

关键词：复发鼻咽癌挽救性手术调强放疗原发性鼻咽癌立体定向放疗适形放疗晚期肿瘤同步化疗

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法国精神医学神经生物指标的应用

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国际精神病学杂志 1987年第3期 165-167页

作者： M.f.Poirier-Littré ,夏毓芬

在法国,神经阻断剂在精神病方面发挥的作用及抗抑郁剂在抑郁症方面的疗效导致在精神疾病中进行有关生化障碍的研究1.三环抗抑郁剂及电抽搐治疗之中枢生化作用被证实后,使研究集中于抑郁症的脑单胺障碍。2.神经阻断剂对多巴胺能受体的阻... 详细信息

在法国,神经阻断剂在精神病方面发挥的作用及抗抑郁剂在抑郁症方面的疗效导致在精神疾病中进行有关生化障碍的研究1.三环抗抑郁剂及电抽搐治疗之中枢生化作用被证实后,使研究集中于抑郁症的脑单胺障碍。2.神经阻断剂对多巴胺能受体的阻断导致精神分裂症多巴胺亢进学说。发展方向抑郁症状群的生化研究主要有下列四方面;通过前体物质和代谢产物研究单胺类物质。通过单胺类物质代谢确定酶活力,主要是单胺氧化酶活力。以下丘脑—垂体—肾上腺轴系为主的内

关键词：内因性抑郁症阻断剂病人正常人对抗药重性抑郁症早发性痴呆精神分裂症抗精神病药抗抑郁剂生物学研究三羟酪胺神经递体多巴胺阴性症状生物节律昼夜节律神经中枢神经系统法兰西共和国法国

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miR-99a-5p modulates doxorubicin resistance via the COX-2/ABCG2 axis in triple-negative breast cancer: f.om the discovery to in vivo studies

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Cancer Communications 2022年第12期42卷 1412-1416页

作者： Iris Garrido-Cano Anna Adam-Artigues Ana Lameirinhas Juan f.Blandez Vicente Candela-Noguera f.derico Rojo Sandra Zazo Juan Madoz-Gúrpide Ana Lluch Begoña Bermejo f.lix Sancenón Juan Miguel Cejalvo Ramón Martínez-Mañez Pilar Eroles Biomedical Research Institute INCLIVA Valencia 46010Spain Bioengineering Biomaterials and Nanomedicine Networking Biomedical Research Centre(CIBER-BBN)Madrid 28029Spain Interuniversity Research Institute f.r Molecular Recognition and Technological Development(IDM) Polytechnic University of ValenciaUniversity of ValenciaValencia 46010Spain Joint Unit CIPf.UPV of.Mechanisms of.Diseases and Nanomedicine ValenciaPolytechnic University of ValenciaPrince Felipe Research CenterValencia 46012Spain Joint Research Unit in Nanomedicine and Sensors Polytechnic University of ValenciaMedical Research Institute Hospital La FeValencia 46026Spain Biomedical Research Networking Center in Oncology(CIBERONC) Madrid 28029Spain Department of.Pathology Fundación Jiménez Díaz University Hospital Health Research InstituteMadrid 28040Spain Department of.Clinical Oncology University Clinical Hospital of ValenciaValencia 46010Spain Department of.Medicine University of ValenciaValencia 46010Spain Department of.Physiology University of ValenciaValencia 46010Spain

Dear Editor,Breast cancer(BC)is the most commonly diagnosed cancer and the f.f.h cause of.cancer-related death worldwide[1].Despite the advances in BC targeted therapies,cytotoxic chemotherapy is still widely used[2].However,around 20%-30%of.BC patients develop metastasis af.er treatment as a consequence of.drug resistance[3].In this context,microRNAs have emerged as potential therapeutic targets to overcome therapy resistance[4].Theref.re,we aimed to elucidate the molecular mechanisms underlying resistance to doxorubicin,one of.the most ef.ective chemotherapeutic agents used in *** are detailed in Supplementary Materials.

关键词： doxorubicin ABCG2 chemotherapy

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威廉王岛

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全球变化数据学报（中英文） 2020年第4期4卷 400-401,400-401页

作者：贾鹏越王既涵张丰刘闯石瑞香浙江大学地球科学学院杭州310027 中国科学院地理科学与资源研究所北京100101

威廉王岛(KingWilliamIsland)是北极群岛的一部分,位于北美洲北极圈内。地理位置为69°54’22"N–68°27’12"N,99°32’48"W–95°09’25"W。它位于维多利亚岛和布西亚半岛之间,距离维多利亚岛85 km;北距离威尔士亲王岛155 km;南隔斯... 详细信息

威廉王岛(KingWilliamIsland)是北极群岛的一部分,位于北美洲北极圈内。地理位置为69°54’22"N–68°27’12"N,99°32’48"W–95°09’25"W。它位于维多利亚岛和布西亚半岛之间,距离维多利亚岛85 km;北距离威尔士亲王岛155 km;南隔斯托里斯海峡和辛普森海峡与北美洲大陆(阿德莱德半岛)相望,最近处只有3.3 km。行政区划上,威廉王岛隶属于加拿大努纳武特(Nunavut)地区。威廉王岛总面积13,259.59km2,海岸线总长1,555.35 km[1]。

关键词：威廉王岛 King William Island 加拿大北极群岛数据大百科

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