1,266 research outputs found
Design of Miniature Scenery of Region Heritage in Expo2011 Xi'an - Planning and Design of Yanan Garden
The garden of Expo2011 Xi’an located in Guangyuntan in Chanba Ecological district of Xi’an, Yanan garden is a garden built up by Yanan governor, It stand on available land on the slopes. With consideration of particular climatic and geological condition of the site, the design not only combine the life with nature, but also Chinese garden with Western principles of landscape .Yanan garden express the basic mode of people and nature in shanbei of Shannxi province.</jats:p
Melatonin Regulates Neuronal Synaptic Plasticity in the Supramammillary Nucleus and Attenuates Methamphetamine-Induced Conditioned Place Preference and Sensitization in Mice
Methamphetamine (METH) is an addictive drug that threatens human health. The supramammillary nucleus (SuM) and its neural circuits play key roles in the regulation of spatial memory retrieval, and hippocampal contextual or social memory. Melatonin (MLT), a pineal hormone, can regulate hypothalamic-neurohypophysial activity. Our previous study showed that MLT attenuates METH-induced locomotor sensitization. However, whether MLT regulates SuM function and participates in METH-induced contextual memory retrieval remains unclear. Using a mouse model of METH-conditioned place preference (CPP) and sensitization, we found that METH activated c-Fos expression and elevated calcium (Ca2+) levels in SuM neurons. Chemogenetic inhibition of SuM attenuates CPP and sensitization. Pretreatment with MLT decreased c-Fos expression and Ca2+ levels in the SuM and reversed METH-induced addictive behavior, effects that were blocked with the selective MT2 receptors antagonist 4P-PDOT and the MT1 receptors antagonist S26131. Furthermore, MLT reduced SuM synaptic plasticity, glutamate (Glu) release, and neuronal oscillations caused by METH, which were blocked by 4P-PDOT. In conclusion, our data revealed that MLT regulates neuronal synaptic plasticity in the SuM, likely through the MLT receptors (MTs), and plays a role in modulating METH-addictive behavior
sj-pdf-1-imr-10.1177_03000605221089503 - Supplemental material for MicroRNAs as potential biomarkers for the diagnosis of inflammatory bowel disease: a systematic review and meta-analysis
Supplemental material, sj-pdf-1-imr-10.1177_03000605221089503 for MicroRNAs as potential biomarkers for the diagnosis of inflammatory bowel disease: a systematic review and meta-analysis by Lina Sun, Yanan Han, Hua Wang, Huanyu Liu, Shan Liu, Hongbin Yang, Xiaoxia Ren and Ying Fang in Journal of International Medical Research</p
Search by Image: Deep Learning Based Image Visual Feature Extraction
In recent years, the expansion of the Internet has brought an explosion of visual information, including social media, medical photographs, and digital history. This massive amount of visual content generation and sharing presents new challenges, especially when searching for similar information in databases —— Content-Based Image Retrieval (CBIR). Feature extraction is the foundation of image retrieval, making research into obtaining concrete features and representations of image content a vital concern. In the feature extraction module, We first pre-process the target image and input it into a CNN to obtain feature maps for different channels. These feature maps can be aggregated into compact and global uniform descriptors by pooling. Then these global descriptors are further dimensionalised and normalized by whitening methods to obtain image feature vectors that are easy to compute and compare. In this process, the accuracy of the retrieval depends on how accurately the final feature vectors represent the meaning expressed by the target image. Therefore, various CNN network structures, pooling and whitening methods are proposed to get more concrete feature vectors.In this thesis, our study (1) fine tunes the pre-trained CNNs, (2) optimizes the application of second-order attention information in feature map, (3) applies and compares popular feature enhancement methods in both aggregating and whitening, (4) explores how to combine all strengths, and (5) propose a new model \textit{ResNet-SOI}, which achieves 53.4(M) and 59.2(M) mAP on the challenging benchmark \textit{ROxford5k+1M} and\textit{ RParis6k+1M}, and outperforms the state-of-art methods. Our prototype GUI is available on GitHub (https://github.com/yanan-huu/Image-Search-Engine-for-Historical-Research).Electrical Engineering | Circuits and System
Wind turbine blade trailing edge crack detection based on airfoil aerodynamic noise: An experimental study
In recent years, with the development of the wind power industry and the increase in the number of wind turbines, the condition monitoring of blades and the detection of damage are increasingly important. In this work, a new non-contact damage-detection approach is experimentally investigated based on the measurement of airfoil aerodynamic noise. A NACA 0018 airfoil with chord of 200 mm with different trailing edge crack sizes, 0.2, 0.5, 1.0 and 2.0 mm, is investigated. Experiments are conducted at different mean flow velocities, inflow turbulence intensities and angles of attack. Far-field noise scattered from the airfoil is measured by means of a microphone array. The spectral differences of sound pressure level between the damaged cases and the baseline (without any damage) are compared. As expected, at small angles of attack, with clean or low turbulence intensities (e.g. ∼ 4% in the experiment) flow, by increasing the size of the crack, tonal noise appears at trailing-edge thickness-based Strouhal number,Sth , approximatively equal to 0.1. However, at higher angles of attack (e.g. ± 10° and ± 15°) or under conditions of high turbulence intensity (e.g. ∼ 7%), the amplitude of the tonal peak diminishes suggesting that complementary measurements or longer acquisition time to remove inflow turbulence effects are needed to monitor trailing edge cracks.Wind Energ
Tahtakale yangınında yanan evler
16. ve 17. yy. Ankara'sının Aşağı Yüz'ünde yer alan Tahtakale Çarşısı, Doğanbey Mahallesi ile çevrelenmiş, han, hamam, cami, mescit gibi anıtsal yapılarla belirlenen, kentin ikinci bir merkezi durumunda; Sulu Han'ın kuzeyinde, bugünkü Ulus Şehir Hali'nin hana bakan girişine rastlayan yerde bulunmaktaydı. Eski dokusunu 1927 yangınına kadar en az yüzyıl korumuştur. Yangın, 1927 yılı ortalarında Suluhan civarında başlamış ve bütün çarşı bir gecede yanmıştır. Yangın günümüzde Ankara Belediye Binası olan ve o zamanlar sebze hali olarak kullanılan yere kadar yayılmış ve ancak yangın bombaları atılarak durdurula bilmiştir. Hasan paşa ve Tahtakale Hamamları ile Haseki Camisi de yangında hasar gördükleri için yıktırılmışlardır. Tahtakale Hanı ile adı belirlenemiyen iki han da yangında tahrip olmuştur. Tahtakale yangınında Sulu Han da kısmen tahrip olmuş ve ticari önemini yitirmiştir. Suluhan'ın karşısındaki bir sıra dükkan ile Uzun Çarşı'nın bir bölümü de yanmıştır
Tahtakale yangınında yanan evler
16. ve 17. yy. Ankara'sının Aşağı Yüz'ünde yer alan Tahtakale Çarşısı, Doğanbey Mahallesi ile çevrelenmiş, han, hamam, cami, mescit gibi anıtsal yapılarla belirlenen, kentin ikinci bir merkezi durumunda; Sulu Han'ın kuzeyinde, bugünkü Ulus Şehir Hali'nin hana bakan girişine rastlayan yerde bulunmaktaydı. Eski dokusunu 1927 yangınına kadar en az yüzyıl korumuştur. Yangın, 1927 yılı ortalarında Suluhan civarında başlamış ve bütün çarşı bir gecede yanmıştır. Yangın günümüzde Ankara Belediye Binası olan ve o zamanlar sebze hali olarak kullanılan yere kadar yayılmış ve ancak yangın bombaları atılarak durdurula bilmiştir. Hasan paşa ve Tahtakale Hamamları ile Haseki Camisi de yangında hasar gördükleri için yıktırılmışlardır. Tahtakale Hanı ile adı belirlenemiyen iki han da yangında tahrip olmuştur. Tahtakale yangınında Sulu Han da kısmen tahrip olmuş ve ticari önemini yitirmiştir. Suluhan'ın karşısındaki bir sıra dükkan ile Uzun Çarşı'nın bir bölümü de yanmıştır
Modeling and calculation of the specific absorption rate for multi-antenna mobile devices
With the fast development of portable wireless devices, more and more communication and entertainment functions are featured in cell phones and other mobile devices, many of which require the integration of multiple transmitting/receiving antennas into the limited space of the device. Since each radio antenna exposes the user to some level of electromagnetic radiation, if several radios are operating concurrently, the total exposure could be cumulative, which would become a great concern. To quantify the human exposure to the RF radiation, the specific absorption rate (SAR) is introduced as a measure. Regulatory agencies have standards limiting the maximum SAR to ensure safety.
In order to comply with the regulations, the SAR induced in the human head and body should be evaluated by experimental measurement or numerical simulation. When there are multiple transmitting antennas, the measurement or the simulation could take a very long time due to the fact that each phase combination needs to be taken into account. Thus a fast method to evaluate SAR is desirable.
In this work, we establish various SAR models to address this problem. We investigate the accuracy and parameter dependency of the SAR models, explore their applicability in the millimeter-wave regime, which could become the mainstream frequency band in the future, and utilize them in a fast SAR evaluation scheme.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-12-01The student, Yanan Liu, accepted the attached license on 2017-12-15 at 10:34.The student, Yanan Liu, submitted this Thesis for approval on 2017-12-15 at 10:40.This Thesis was approved for publication on 2017-12-15 at 11:12.DSpace SAF Submission Ingestion Package generated from Vireo submission #11995 on 2018-03-13 at 10:38:30Made available in DSpace on 2018-03-13T17:35:58Z (GMT). No. of bitstreams: 2
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Developing a data-driven model for dynamic reservoir operation using a combined hidden Markov-decision tree and classification tree algorithms
Reservoir operations are faced with greater challenges than before due to growing water demands and climate change, and thus understanding and improvement of reservoir operations are critical. This study extends the hidden-Markov-decision tree (HM-DT) model developed by Zhao and Cai (2020) and proposes a data-driven reservoir operation model (DROM). The HM-DT model is first applied to individual reservoirs to derive sets of representative operation modules. Then a module classification model based on the Classification and Regression-tree algorithm is developed to determine which module to use for a day. DROM combines the derived operation modules and the module classification model to realize daily release prediction. DROM is tested with 25 reservoirs operated by USBR in north Great Plains regions, and it is shown that DROM can achieve acceptable accuracy in simulating historical releases (NSE > 0.4) and predicting future releases (NSE > 0.2) for 23 reservoirs. Compared with existing data-driven models, DROM shows several advantages including easily satisfied data requirements, transparent model structure, and broad applicability to various reservoirs. Especially, DROM can simulate the dynamic operation patterns through choosing the modules, while other previous models can only derive static operation rules. DROM can be used to better understand real-world reservoir operation behaviors and to explore the improvement of operation via combining with optimization models.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-08-01The student, Yanan Chen, accepted the attached license on 2021-07-08 at 14:07.The student, Yanan Chen, submitted this Thesis for approval on 2021-07-08 at 14:18.This Thesis was approved for publication on 2021-07-13 at 11:29.DSpace SAF Submission Ingestion Package generated from Vireo submission #16805 on 2022-01-12 at 12:54:01Made available in DSpace on 2022-01-12T22:35:06Z (GMT). No. of bitstreams: 2
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Charles Dickens’ Benevolent Spirit as Revealed in A Tale of Two Cities
A Tale of Two Cities, one of Charles Dickens’ most representative work, reveals and criticizes the fact that the working people suffered the oppression from the aristocracy. Moreover, the novel showed that the revolution was bloody and cruel. Dickens revealed his benevolent spirit, namely, he showed sympathy for the poor working people and urged people to use love to dissolve hatred. Some critics thought that his spirit was unpractical fantasy. Through the analysis of Dickens’ life and times, the novel A Tale of Two Cities as well as his other works, the author points out that Dickens’ benevolent spirit has its practical meaning in modern times
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