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玻璃体内注射曲安西龙导致眼内压升高及后囊下白内障

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世界核心医学期刊文摘（眼科学分册） 2005年第5期1卷 57-58页

作者： gillies m.c. Kuzniarz m. craig J. 邢咏新

To investigate the association between elevated intraocular pressure (IOP) and accelerated cataract formation in patients treated with intravitreal triamcinol one. Analysis of longitudinal data from a randomized, double-masked, placebo-c ontrolled trial of intravitreal triamcinolone for age-related m.c.lar degenerat ion (the Intravitreal Triamcinolone Study). Patients with phakic eyes who partic ipated in a randomized clinical trial of intravitreal triamcinolone for age-rel ated m.c.lar degeneration were studied. There were 57 phakic eyes in the treatme nt group and 54 phakic eyes in the control group. One eye per patient was studie d. Four milligrams of intravitreal triamcinolone or 1 ml subconjunctival saline. Intraocular pressure rise of at least 5 mmHg (IOP responders) and progression o f posterior subcapsular cataract by 2 or more grades using photographic standard s from the Age Related Eye Disease Study. Progression of posterior subcapsular c ataract (PSc) by 2 or more grades in the treatment group was significantly highe r among 16 IOP responders (51%after 2 years) than among 37 nonresponders (3%; P cant progression of PSc in the placebo group or the opposite eye of the treatment group. Progression of cortica l cataracts also was significantly higher among responders than nonresponders (1 5%vs. 3%; P=0.015, log-rank test). The progression of nuclear cataracts (13% vs. 3%) was not significantly different between IOP responders and nonresponders (P=0.3, log-rank test). Although steroid-relate d cataracts are unlikely to develop in eyes that do not experience elevated IOP after intravitreal triamcinolone, those eyes that do also have a very high risk of rapidly experiencing posterior subcapsular lens opacification. This strong as sociation suggests that the m.c.anism responsible for the development of steroid -induced PSc cataract and raised IOP may be similar.

关键词：玻璃体内注射囊下白内障眼内压曲安西龙老年性黄斑变性皮质性白内障结膜下注射后囊核性白内障对侧眼

玻璃体腔内注射强的松龙治疗激光治疗后持续性糖尿病性黄斑水肿:一项前瞻、随机、双盲、安慰剂对照临床试验的3个月安全性和有效性

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世界核心医学期刊文摘（眼科学分册） 2005年第3期1卷 56-57页

作者： Sutter F.K.P. Simpson J.m. gillies m.c. 黎黎

To determine whether an intravitreal injection of triamcinolone acetonide for persistent diabetic m.c.lar edema after adequate laser treatment improves visual acuity. Prospective, double masked, placebo controlled, randomized clinical t rial. Sixty nine eyes of 43 patients were entered into the study, with 34 eyes randomized to receive active treatment and 35 randomized to receive a placebo in jection. Sixty five of 69 eyes (94%) completed the 3 month study visit. Using a 27 gauge needle, 0.1 ml of triamcinolone acetonide was injected through the pars plana. The procedure was performed in a minor procedures area in the outpat ient clinic under sterile conditions and using topical and subconjunctival anest hesia. Eyes randomized to placebo received a subconjunctival saline injection us ing the identical procedure for preparation. The main outcome measures were impr ovement of best corrected logarithm of the minimum angle of resolution visual a cuity by 5 or more letters and incidence of moderate or severe adverse events. E ighteen of 33 eyes (55%) treated with triamcinolone gained 5 or more letters of best corrected visual acuity compared with 5 of 32 eyes (16%) treated with pl acebo (P=0.002). m.c.lar edema was reduced by 1 or more grades as determined by masked semiquantitative contact lens examination in 25 of 33 treated eyes (75%) versus 5 of 32 untreated eyes (16%; P cal coherence tomography showed a mean reduction of central retinal thickness of 152 μm in the 21 treate d eyes that were examined compared with a reduction of 36 μm in 20 placebo tre ated eyes. Infectious endophthalmitis developed in 1 triamcinolone treated eye that was treated adequately without loss of visual acuity. In the short term, in travitreal triamcinolone is an effective and relatively safe treatment for eyes with diabetic m.c.lar edema that have failed laser treatment. Although it will b e essential to study longer term outcomes, the use of intravitreal triamcinolon e may

关键词：腔内注射强的松龙双盲法持续性结膜下注射黄斑水肿感染性眼内炎临床试验研究对数视力表安慰剂对照

consumer transparency in the production chain for plant varieties produced using new genom.c.techniques

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aBIOTEcH 2024年第2期5卷 239-246页

作者： J.m.Lukasiewicz c.c.m.van de Wiel L.A.P.Lotz m.J.m.Smulders Wageningen University&Research P.O.Box 386NL-6700 AJ WageningenThe Netherlands

Plants edited with new genom.c.techniques(NGTs)currently fall under the Genetically modified Organisms Directive(2001/18/Ec)in the European *** the proposal of the European commission,NGT plants are partially exempted from the regulations of this *** proposal makes a distinction between two categories of NGT plants:NGT-1 and ***-1 category plants are considered equal to plants obtained through conventional breeding *** plants will not be labelled for the consumer,although they will be labelled as ***-2 category plants may be labelled with additional information as a positive *** of seeds of varieties made with gene editing,but not the products,would mean that most steps in the production chain are transparent,but not the last step towards ***“right to know”and increasing knowledge of gene-edited food is a common theme in food labelling towards ***,we describe current labelling regimes and registers and how these may be applied to provide transparency on gene-edited products to ***,we also look into consumer studies,which indicate a greater acceptance of gene-edited food among consumers,especially when additional benefits such as sustainability are mentioned.

关键词： Labelling New genom.c.techniques consumer transparency Plant products

Performance of evolutionary optimized m.c.ine learning for modeling total organic carbon in core samples of shale gas fields

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Petroleum 2024年第1期10卷 150-164页

作者： Leonardo Goliatt c.m.Saporetti L.c.Oliveira E.Pereira Department of computational and Applied m.c.anics Federal University of Juiz de ForaJuiz de ForaBrazil Department of computational modeling Polytechnic InstituteRio de Janeiro State UniversityNova FriburgoBrazil Petrobras Rio de JaneiroBrazil Department of Stratigraphy and Paleontology Rio de Janeiro State UniversityRio de JaneiroBrazil

Rock samples'TOc content is the best indicator of the organic matter in source *** origin rock samples’analysis is used to calculate it manually by *** method requires time and resources because it relies on samples from many well intervals in source ***,research has been done to aid this *** learning algorithms can estimate total organic carbon instead of well logs and stratigraphic *** light of these efforts,the current work present a study on automating the total organic carbon estimation using m.c.ine learning approaches improved by an evolutionary methodology to give the model flexibility and *** algorithms,differential evolution,particle swarm optimization,grey wolf optimization,artificial bee colony,and evolution strategies were used to improve m.c.ine learning models to predict *** six metaheuristics were integrated into four m.c.ine learning methods:extreme learning m.c.ine,elastic net linear model,linear support vector regression,and multivariate adaptive regression *** samples from the YuDong-Nan shale gas field,located in the Sichuan basin,were used to evaluate the hybrid *** findings show that combining m.c.ine learning models with an evolutionary algorithms in a hybrid fashion produce flexible models that accurately predict *** results show that,independent of the metaheuristic used to guide the model selection,optimized extreme learning m.c.ines attained the best performance scores according to six *** hybrid models can be used in exploratory geological research,particularly for unconventional oil and gas resources.

关键词： Total organic carbon Hybrid models Automated m.c.ine learning Evolutionary algorithms Geology

Storylines of family medicine Ⅴ:ways of thinking—honing the therapeutic self

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Family medicine and community Health 2024年第S3期12卷 43-51页

作者： William B Ventres Leslie A Stone Johanna F Shapiro cynthia Haq Jéssica R B Leao Donald E Nease Jr Liz Grant Stewart W mercer John c m gillies Pablo González Blasco maria Auxiliadora c De Benedetto Graziela moreto marcelo R Levites Jennifer E DeVoe William R Phillips Jane m Uygur Thomas R Egnew colette S Stanley Family and Preventive medicine University of Arkansas for Medical Sciences College of MedicineLittle RockArkansasUSA Family medicine University of California Irvine School of MedicineIrvineCaliforniaUSA Faculty of medicine University of Sao PauloSao PauloBrazil Family medicine University of Colorado Anschutz Medical Campus School of MedicineAuroraColoradoUSA Usher Institute Edinburgh Medical SchoolUniversity of EdinburghEdinburghUK SOBRAmFA-medical Education and Humanism Sao PauloBrazil Family medicine Oregon Health&Science University School of MedicinePortlandOregonUSA Family medicine University of Washington School of MedicineSeattleWashingtonUSA General Practice Royal College of Surgeons in IrelandDublinIreland General Internal medicine Geriatrics&Palliative MedicineTulane University School of MedicineNew OrleansLouisianaUSA

Storylines of Family medicine is a 12-part series of thematically linked essays with accompanying illustrations that explore the many dimensions of family medicine,as interpreted by individual family physicians and medical educators in the USA and elsewhere around the ***‘Ⅴ:ways of thinking—honing the therapeutic self’,authors present the following sections:‘Reflective practice in action’,‘The doctor as drug—Balint groups’,‘cultivating compassion’,‘Towards a humanistic approach to doctoring’,‘Intim.c. in family medicine’,‘The many faces of suffering’,‘Transcending suffering’and‘The power of listening to stories.’may readers feel a deeper sense of their own therapeutic agency by reflecting on these essays.

关键词： illustration dimensions suffering

An improved pulse coupled neural networks model for semantic IoT

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Digital communications and Networks 2024年第3期10卷 557-567页

作者： Rong ma Zhen Zhang Yide ma Xiping Hu Edith c.H.Ngai Victor c.m.Leung School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China School of medical Technology Beijing Institute of TechnologyBeijing100081China Department of Electrical and Electronic Engineer The University of Hong KongHong Kong 999077China college of computer Science and Software Engineering Shenzhen UniversityShenzhen 518060China Department of Electrical and computer Engineering the University of British ColumbiaVancouverBC V6T 1Z4Canada

In recent years,the Internet of Things(IoT)has gradually developed applications such as collecting sensory data and building intelligent services,which has led to an explosion in mobile data ***,with the rapid development of artificial intelligence,semantic communication has attracted great attention as a new communication ***,for IoT devices,however,processing image information efficiently in real time is an essential task for the rapid transmission of semantic *** the increase of model parameters in deep learning methods,the model inference time in sensor devices continues to *** contrast,the Pulse coupled Neural Network(PcNN)has fewer parameters,making it more suitable for processing real-time scene tasks such as image segmentation,which lays the foundation for real-time,effective,and accurate image ***,the parameters of PcNN are determined by trial and error,which limits its *** overcome this limitation,an Improved Pulse coupled Neural Networks(IPcNN)model is proposed in this *** IPcNN constructs the connection between the static properties of the input image and the dynam.c.properties of the neurons,and all its parameters are set adaptively,which avoids the inconvenience of manual setting in traditional methods and improves the adaptability of parameters to different types of *** segmentation results demonstrate the validity and efficiency of the proposed self-adaptive parameter setting method of IPcNN on the gray images and natural images from the matlab and Berkeley Segmentation *** IPcNN method achieves a better segmentation result without training,providing a new solution for the real-time transmission of image semantic information.

关键词： Internet of things(IoT) Semantic information Real-time application Improved pulse coupled neural network Image segmentation

Semi-analytical investigation of heat transfer in a porous convective radiative moving longitudinal fin exposed to magnetic field in the presence of a shape-dependent trihybrid nanofluid

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Applied mathematics and m.c.anics(English Edition) 2024年第1期45卷 197-216页

作者： c.G.PAVITHRA B.J.GIREESHA m.L.KEERTHI Department of PG Studies and Research in mathematics Kuvempu UniversityShankaraghatta 577451India Department of mathematics and Statistics M.S.Ramaiah University of Applied SciencesBengaluru 560058India

The thermal examination of a non-integer-ordered mobile fin with a magnetism in the presence of a trihybrid nanofluid(Fe_3O_4-Au-Zn-blood) is carried out. Three types of nanoparticles, each having a different shape, are considered. These shapes include spherical(Fe_3O_4), cylindrical(Au), and platelet(Zn) configurations. The combination approach is utilized to evaluate the physical and thermal characteristics of the trihybrid and hybrid nanofluids, excluding the thermal conductivity and dynam.c.viscosity. These two properties are inferred by means of the interpolation method based on the volume fraction of nanoparticles. The governing equation is transformed into a dimensionless form, and the Adomian decomposition Sumudu transform method(ADSTm) is adopted to solve the conundrum of a moving fin immersed in a trihybrid nanofluid. The obtained results agree well with those numerical simulation results, indicating that this research is reliable. The influence of diverse factors on the thermal overview for varying noninteger values of γ is analyzed and presented in graphical representations. Furthermore, the fluctuations in the heat transfer concerning the pertinent parameters are studied. The results show that the heat flux in the presence of the combination of spherical, cylindrical, and platelet nanoparticles is higher than that in the presence of the combination of only spherical and cylindrical nanoparticles. The temperature at the fin tip increases by 0.705 759% when the value of the Peclet number increases by 400%, while decreases by 11.825 13% when the value of the Hartman number increases by 400%.

关键词： convection radiation moving longitudinal fin Adomian decomposition Sumudu transform method(ADSTm) trihybrid nanofluid magnetic field

Optimization of a photovoltaic-battery system using deep reinforcement learning and load forecasting

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Energy and AI 2024年第2期16卷 168-183页

作者： António corte Real G.Pontes Luz J.m.c.Sousa m.c.Brito S.m.Vieira IDmEc Instituto Superior TécnicoUniversidade de LisboaLisboa1049-001Portugal Instituto Dom Luiz Faculdade de CiênciasUniversidade de LisboaCampo Grande1749-016LisboaPortugal

Home Energy management Systems(HEmS)are increasingly relevant for demand-side management at the residential level by collecting data(energy,weather,electricity prices)and controlling home appliances or storage *** control can be performed with classical models that find optimal solutions,with high real-time computational cost,or data-driven approaches,like Reinforcement Learning,that find good and flexible solutions,but depend on the availability of load and generation data and demand high computational resources for *** this work,a novel HEmS is proposed for the optimization of an electric battery operation in a real,online and data-driven environment that integrates state-of-the-art load forecasting combining cNN and LSTm neural networks to increase the robustness of *** Reinforcement Learning agents are trained with different algorithms(Double DQN,Dueling DQN,Rainbow and Proximal Policy Optimization)in order to minimize the cost of electricity purchase and to maximize photovoltaic self-consumption for a PV-Battery residential *** show that the best Reinforcement Learning agent achieves a 35%reduction in total cost when compared with an optimization-based agent.

关键词： Energy management system Deep reinforcement learning Demand-side management Load forecasting Deep learning Energy storage systems

cO oxidation under lean and stoichiometric conditions over ceriazirconia with very low metal contents(cu,co,Ag and Pt)

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Journal of Rare Earths 2024年第9期42卷 1669-1681,I0002页

作者： J.c.martínez-munuera m.P.Yeste A.García-García mcmA Group Department of Inorganic Chemistry and Institute of MaterialsUniversity of AlicanteCarretera de San Vicente del Raspeig s/n03690San Vicente del RaspeigAlicanteSpain Solid chemistry and catalysis Group Department of Materials ScienceMetallurgic Engineering and Inorganic ChemistryInstitute of Electronic Microscopy and Materials ResearchUniversity of CádizAp.40E-11510Puerto RealCádizSpain

In this work,several ceria-zirconia based catalysts with very lo w(and equimolar) metal contents were prepared,characterised and tested for the cO oxidatio n reaction(under lean and stoichiometric conditions),trying to emulate those conditions found in a diesel oxidation catalyst(DOc) system from a diesel engine and those encountered under gasoline exhaust(λ=1).The metals chosen are cu,co,Ag and Pt(as a reliable benchmark).The results reveal enormous differences among reducibility and catalytic activity despite quite similar structural and textural properties of the catalysts,showing differences among dispersion(Ag-catalyst seems to present a low level of dispersion).This catalyst seems to be characterised,as well,by a strong electronic interaction between ce and Ag centres which is suggested to yield an improved reducibility under H_(2)-TPR ***,the order in catalytic activity(cu>Ag>co≈Pt>>support) seems not to follow the order found in reducibility and the cu-catalyst seems to be the most active independently on the reaction conditions,yielding nearly overlapped cO oxidation catalytic *** restingly,a stro ng correlation between the catalytic activity under the two conditions tested and the OSc values of the ce_(0.8)Zr_(0.2)O_(2)-supported metal catalysts is ***,OSc parameter measured at 150℃ can be used as a relevant descriptor to evaluate the cO oxidation activity at low and medium.c.nversions for the investigated catalysts,m.c. better than the H_(2)-TPR measurements.

关键词： cO oxidation Low metal content ceria-zirconia copper species OSc parameter Rare earths