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Prevalence of visual impairment and related factors in Nangarhar Province of Afghanistan:a cross sectional study

International Journal of Ophthalmology(English edition) 2018年第12期11卷 1968-1977页

作者： Mohammad Haris Abdianwall Bahar Guciz dogan Department of Ophthalmology Faculty of Medicine Nangarhar UniversityJalalabad GPO 2601Afghanistan Department of Public Health Faculty of MedicineHacettepe UniversityAnkara 06100Turkey

AIM: To determine the prevalence, main causes, and related factors of visual impairment(VI) among people aged 50 y and over in Jalalabad City and four surrounding districts of Nangarhar Province of Afghanistan. METHODS: The data for the population based crosssectional study was collected in 2015. The calculated sample size was 1353, allocated to urban-rural strata using probability proportion to size method. At the end of the study, 1281 people participated in to the study. VI was defined as presenting visual acuity(VA) of less than 6/18 and blindness as VA less than 3/60 in the better eye by using Snellen chart only. Data was analyzed using IBM SPSS 21.0 ***: The prevalence of VI was 22.6%(95%CI, 20%-25%) of which 13.9%(95%CI, 12%-16%) was low vision and 8.7%(95%CI, 7%-10%) was blindness. The most common causes of the VI were cataract(52.8%), followed by uncorrected refractive error(URE)(26.9%) and glaucoma(8.6%). Number one cause of the low vision was URE(42%), followed by cataract, glaucoma, age-related macular degeneration(AMD) and diabetic retinopathy(DR), while for blindness they are cataract(72%), other posterior segment disorders, glaucoma, URE and AMD. Illiteracy, bad economic status, hypertension and overweight were factors independently associated with both VI and low vision, whereas, age, illiteracy, bad economic status, hypertension and using of sunglasses were independently associated with ***: Cataract, URE, glaucoma, AMD and DR are the leading causes of VI and blindness in the study area. They are mostly avoidable. In order to decrease theburden of VI and blindness in the study area as well as the whole country, it is strongly recommended to apply the prevention policies of VI and blindness.

关键词： prevalence visual impairment blindness Afghanistan

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Polarization multiplexed diffractive computing:all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network

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Light(Science & Applications) 2022年第7期11卷 1423-1442页

作者： Jingxi Li Yi-Chun Hung Onur Kulce Deniz Mengu a.dogan ozcan Electrical and Computer Engineering Department University of CaliforniaLos AngelesCA 90095USA Bioengineering Department University of CaliforniaLos AngelesCA 90095USA California NanoSystems Institute(CNSI) University of CaliforniaLos AngelesCA 90095USA

Research on optical computing has recently attracted significant attention due to the transformative advances in machine *** different approaches,diffractive optical networks composed of spatially-engineered transmissive surfaces have been demonstrated for all-optical statistical inference and performing arbitrary linear transformations using passive,free-space optical ***,we introduce a polarization-multiplexed diffractive processor to all-optically perform multiple,arbitrarily-selected linear transformations through a single diffractive network trained using deep *** this framework,an array of pre-selected linear polarizers is positioned between trainable transmissive diffractive materials that are isotropic,and different target linear transformations(complex-valued)are uniquely assigned to different combinations of input/output polarization *** transmission layers of this polarization-multiplexed diffractive network are trained and optimized via deep learning and error-backpropagation by using thousands of examples of the input/output fields corresponding to each one of the complex-valued linear transformations assigned to diffferent input/output polarization *** results and analysis reveal that a single diffractive network can successfully approximate and all-optically implement a group of arbitrarily-selected target transformations with a negligible error when the number of trainable diffractive features/neurons(N)approaches N_(p)N_(i)N_(o),where Ni and N_(o) represent the number of pixels at the input and output fields-of-view,respectively,and N_(p) refers to the number of unique linear transformations assigned to different input/output polarization *** polarization-multiplexed all-optical diffractive processor can find various applications in optical computing and polarization-based machine vision tasks.

关键词： valued arbitrarily Polarization

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Intrapulmonary calcifying fibrous pseudotumour of the lung

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Chinese Medical Journal 2012年第21期125卷 3918-3919页

作者： Pinar Bicakcioglu Serpil Dizbay Sak Riza.dogan Department of Thoracic Surgery Ataturk Training and Research Hospital for Chest Disease and Thoracic SurgeryKecioren 06280AnkaraTurkey Department of Pathology Ankara University Medical FacultyAnkaraTurkey Department of Thoracic and Cardiovascular Surgery I lacetlepe University Medical FacultyAnkaraTurkey

Lalcifying fibrous pseudotumor （CFP） is one of the most unusual benign lesions and its histopathological appearance defined only during the last 15 years. It is characterized by dense, hyalinised collagenous tissue interspersed with benign spindle cells,lymphoplasmocytic psammomatous and/or infiltrate and particularly, dystrophic *** exhaustive search has shown that only 70 cases of this rare entity have been recorded in English：

关键词： calc!fying fibrous pseudotumour pulmonary nodule benign

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Ensemble learning of diffractive optical networks

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Light(Science & Applications) 2021年第1期10卷 123-135页

作者： Md Sadman Sakib Rahman Jingxi Li Deniz Mengu Yair Rivenson a.dogan ozcan Electrical and Computer Engineering Department University of CaliforniaLos AngelesCA 90095USA Bioengineering Department University of CaliforniaLos AngelesCA 90095USA California NanoSystems Institute(CNSI) University of CaliforniaLos AngelesCA 90095USA

A plethora of research advances have emerged in the fields of optics and photonics that benefit from harnessing the power of machine ***,there has been a revival of interest in optical computing hardware due to its potential advantages for machine learning tasks in terms of parallelization,power efficiency and computation *** deep neural networks(D^(2)NNs)form such an optical computing framework that benefits from deep learning-based design of successive diffractive layers to all-optically process information as the input light diffracts through these passive layers.D^(2)NNs have demonstrated success in various tasks,including object classification,the spectral encoding of information,optical pulse shaping and ***,we substantially improve the inference performance of diffractive optical networks using feature engineering and ensemble *** independently training 1252 D^(2)NNs that were diversely engineered with a variety of passive input filters,we applied a pruning algorithm to select an optimized ensemble of D^(2)NNs that collectively improved the image classification *** this pruning,we numerically demonstrated that ensembles of N=14 and N=30 D^(2)NNs achieve blind testing accuracies of 61.14±0.23%and 62.13±0.05%,respectively,on the classification of GFAR-10 test images,providing an inference improvennent of>16%compared to the average performance of the individual D^(2)NNs within each *** results constitute the highest inference accuracies achieved to date by any diffractive optical neural network design on the same dataset and might provide a significant leap to extend the application space of diffractive optical image classification and machine vision systems.

关键词： networks collective successive

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Red blood cell distribution width is worthwhile when interpreted with other inflammatory markers

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Journal of Geriatric Cardiology 2015年第4期12卷 457-458页

作者： Mehmet dogan Ugur Kucuk Omer Uz Department of Cardiology Crulhane Military Medical Academy Haydarpasa Hospital Tibbiye Street Uskudar Istanbul Turkey

To the Editor In a recent issue of Journal of Geriatric Cardiology, we read the article by LIU, et al. with interest.~lJ They aimed to investigate whether red cell distribution width （RDW） had a relationship with mortality in elderly patients after percuta- neous coronary intervention （PCI）. The authors concluded that, RDW is an independent predictor of the increased in- termediate-term all-cause mortality in elderly patients after PCI. The easy availability of testing for RDW at no addi- tional cost may encourage its broader use in clinical practice We would like to thank the authors for their comprehensive contribution.

关键词： Percutaneous coronary intervention Red cell distribution width The elderly

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Elevated uric acid level： the chicken or the egg？

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Journal of Geriatric Cardiology 2016年第4期13卷 367-368页

作者： Mehmet dogan Omer UZ Burhan Bicakci Ankara Mevki Military Hospital Department of Cardiology Ankara Turkey Gulhane Military Medical Academy Haydarpasa Training Hospital Department of Cardiology lstanbul Turkey

The article entitled Predictive value of serum uric acid on left atrial spontaneous echo contrast in non-valvular atrialftbrillation patients by Liao, et al. has given important data regarding the association between uric acid level and spontaneous echo contrast in patients with non-valvular atrial fibrillation. This relationship has become an attrac- tive interest and hereafter more comprehensive studies should be conducted. We would like to contribute to the study for some methodological points.

关键词： Alcohol Atrial fibrillation Hypothyroidism Spontaneous echo contrast Uric acid

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Clustering Seismic Activities Using Linear and Nonlinear Discriminant Analysis

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Journal of Earth Science 2014年第1期25卷 140-145页

作者： H Serdar Kuyuk Eray Yildirim Emrah dogan Gunduz Horasan Department of Civil Engineering Faculty of EngineeringSakarya University Department of Geophysical Engineering Faculty of EngineeringSakarya University

Identification and classification of different seismo-tectonic events with similar character- istics in a region of interest is one of the most important subjects in seismic hazard studies. In this study, linear and nonlinear discriminant analyses have been applied to classify seismic events in the vicinity of Istanbul. The vertical components of the digital velocity seismograms are used for seismic events with magnitude （Md） between 1.8 and 3.0 that occurred between 2001 and 2004. Two, time dependent pa- rameters, complexity and S/P peak amplitude ratio are selected as predictands. Linear, quadratic, diag- linear and diagquadratic discriminant functions are investigated. Accuracy of methods with an addi- tional adjusted quadratic models are 96.6%, 96.6%, 95.5%, 96.6%, and 97.6%, respectively with a vari- ous misclassified rate for each class. The performances of models are justified with cross validation and resubstitution error. Although all models remarkably well performed, adjusted quadratic function achieved the best success rate with just 4 misclassified events out of 179, even better compared to com- plex methods such as, self organizing method, k-means, Gaussion mixture models that applied to same dataset in literature.

关键词： discriminant analysis clustering analysis self organizing map k-means Gaussion mix- ture models.

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Optical information transfer through random unknown diffusers using electronic encoding and diffractive decoding

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先进光子学(英文) 2023年第4期5卷 85-99页

作者： Yuhang Li Tianyi Gan Bijie Bai Cagatay Isıl Mona Jarrahi a.dogan ozcan University of California Department of Electrical and Computer EngineeringLos AngelesCaliforniaUnited States University of California Department of BioengineeringLos AngelesCaliforniaUnited States University of California California NanoSystems InstituteLos AngelesCaliforniaUnited States

Free-space optical information transfer through diffusive media is critical in many applications, such as biomedical devices and optical communication, but remains challenging due to random, unknown perturbations in the optical path. We demonstrate an optical diffractive decoder with electronic encoding to accurately transfer the optical information of interest, corresponding to, e.g., any arbitrary input object or message, through unknown random phase diffusers along the optical path. This hybrid electronic-optical model, trained using supervised learning, comprises a convolutional neural network-based electronic encoder and successive passive diffractive layers that are jointly optimized. After their joint training using deep learning,our hybrid model can transfer optical information through unknown phase diffusers, demonstrating generalization to new random diffusers never seen before. The resulting electronic-encoder and optical-decoder model was experimentally validated using a 3D-printed diffractive network that axially spans <70λ, whereλ = 0.75 mm is the illumination wavelength in the terahertz spectrum, carrying the desired optical information through random unknown diffusers. The presented framework can be physically scaled to operate at different parts of the electromagnetic spectrum, without retraining its components, and would offer low-power and compact solutions for optical information transfer in free space through unknown random diffusive media.

关键词： optical information transfer electronic encoding optical decoder diffractive neural network diffusers

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A Reliability Model for Integrated Energy System Considering Multi-energy Correlation

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Journal of Modern Power Systems and Clean Energy 2021年第4期9卷 811-825页

作者： Chao Yan Zhaohong Bie Shiyu Liu dogan Urgun Chanan Singh Le Xie Department of Electrical Engineering Xi’an Jiaotong UniversityXi’an 710049China State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong UniversityXi’an 710049China Department of Electrical&Computer Engineering Texas A&M UniversityCollege StationTX 77843USA

An integrated energy system (IES) is a regional energy system incorporating distributed multi-energy systems to serve various energy demands such as electricity, heating, cooling, and gas. The reliability analysis plays a key role in guaranteeing the safety and adequacy of an IES. This paper aims to build a capacity reliability model of an IES. The multi-energy correlation in the IES can generate the dependent capacity outage states, which is the distinguished reliability feature of an IES from a generation system. To address this issue, this paper presents a novel analytical method to model the dependent multi-energy capacity outage states and their joint outage probabilities of an IES for its reliability assessment. To model the dependent multi-energy capacity outage states, a new multi-dimensional matrix method is presented in the capacity outage probability table (COPT) model of the generation system. Furthermore, a customized multi-dimensional discrete convolution algorithm is proposed to compute the reliability model, and the adequacy indices are calculated in an accurate and efficient way. Case studies demonstrate the correctness and efficiency of the proposed method. The capacity value of multi-energy conversion facilities is also quantified by the proposed method.

关键词： Capacity outage probability table(COPT) integrated energy system(IES) multi-dimensional discrete convolution reliability model

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Acute myocardial infarction after capecitabine treatment： not always vasospasm is responsible

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Chinese Medical Journal 2012年第18期125卷 3349-3351页

作者： Emel Celiker Kazlm Serhan ozcan Erkan Ilhan Mehmet Eren Cardiology Clinic Dr. Siyami Ersek Thoracic andCardiovascular Surgery Center Training and Research HospitalIstanbul Turkey

Capecitabine is an orally available chemotherapeutic agent that is converted to 5-fluorouracil （5-FU） after absorbtion. Capecitabine and its active metabolite, 5-FU, have cardiotoxic effects with reported instances of acute coronary syndromes caused due to coronary vasospasm. However, these agents exert toxic effects on cardiovascular system and beyond vasospasm provacation. We report a 46-year-old patient diagnosed as acute inferior infarction who is treated with capecitabine for 3 months due to metastatic breast carcinoma, in whom thrombotic coronary occlusion was observed in angiography. This case demonstrates that apart from vasospasm, coronary thrombosis could be observed after capecitabine treatment, with a possible direct effect of this drug.

关键词： capecitabine 5-fluorouracil acute myocardial infarction, coronary thrombosis coronary vasospasm

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