日本中华街的发展演变及其认知模式研究

横滨与长崎的"中华街"及神户的"南京町"是日本颇具盛名的三大唐人街,不仅具有悠久的历史,而且拥有巨大的经营资产,占据着相当重要的商业地位。本文通过实地调查及对游客问卷的分析、研究,了解到日本人对"中华街"的认知在于对建筑表现形态、设施内容特色、民俗经营形式、传统生活氛围的认识和理解,并且随着认知程度及特征要素分布密度的变化,也影响着日本人对"中华街"这一异文化环境范围的认识。     

新时期面向品质提升的城市设计工作思路探讨——以沈阳金廊核心段城市设计为例

沈阳金廊在快速发展十年之后,迎来了对规划建设总结和提升的阶段,本文在分析其建设现状基础上,结合新时期中央城市工作会议精神,从追求品质增长、发挥公共价值、增强设计指导性三方面开展本轮城市设计工作,包括继续按照最初谋划的金廊整体功能结构和空间结构进行严格控制,着重对公共领域的品质进行提升,并打造未出让地块为示范项目树立标杆,最终落实成管控文件。     

浙北地区村域体系重组演进的实践反思

本文通过探讨迁村并点、中心村建设等方面的内容，总结反思了近几年来浙北地区村域体系重组演进过程中的一些实践成果，并结合具体案例提出了相关的应对原则与方式。     

组合式中央空调机组无干扰切换

纺织厂用组合式中央空调机组,当工艺送风机出现故障时,用环境风机代替工艺风机的无干扰切换。结果表明:当工艺风机出现故障,人为手动无干扰切换,用环境风机代替工艺风机,环境风温与风压均能满足工艺送风要求,停下工艺风机进行故障维修处理,满足生产工艺要求。     

Training neural networks using Central Force Optimization and Particle Swarm Optimization: Insights and comparisons

Central Force Optimization (CFO) is a novel and upcoming metaheuristic technique that is based upon physical kinematics. It has previously been demonstrated that CFO is effective when compared with other metaheuristic techniques when applied to multiple benchmark problems and some real world applications. This work applies the CFO algorithm to training neural networks for data classification. As a proof of concept, the CFO algorithm is first applied to train a basic neural network that represents the logical XOR function. This work is then extended to train two different neural networks in order to properly classify members of the Iris data set. These results are compared and contrasted to results gathered using Particle Swarm Optimization (PSO) in the same applications. Similarities and differences between CFO and PSO are also explored in the areas of algorithm design, computational complexity, and natural basis. The paper concludes that CFO is a novel and promising meta-heuristic that is competitive with if not superior to the PSO algorithm, and there is much room to further improve it.     

Total mercury levels in crustacean species from Italian fishery

This study investigated mercury contamination levels in eight commercially valuable crustacean species caught off the Central Adriatic and Tyrrhenian coasts of Italy. Total mercury levels were measured by Thermal Decomposition-Amalgamation-Atomic Absorption Spectrophotometry. Results showed a high variability among species with values ranging from 0.070 to 1.24 (mg kg^?1 wet weight). The lowest mercury levels were detected in caramote prawn (Penaeus kerathurus), warty crab (Eriphia verrucosa) and European spider crab (Maja squinado), decapods living in shallow waters. Levels exceeding the limits established by the European Commission were found in species living in close contact with bottom sediments: deepwater rose shrimp (Parapenaeus longirostris), blue and red shrimp (Aristeus antennatus) and Norway lobster (Nephrops norvegicus). For shrimps, the inter-individual variability observed was mostly related to the body size, indicating the accumulation of mercury with age. An estimation of the human intake of mercury associated to the consumption of the crustaceans sampled and its comparison with the Tolerable Weekly Intake are provided.     

Coastal trapped waves in the southern Caspian Sea

Previous studies reported coastal trapped waves (CTWs) in the Caspian Sea (CS). This study deals with the generation mechanisms, the temporal and spatial variability of CTWs in this area, and their transformations during propagation from the origin to the destination using recent measurements and high-resolution numerical simulations. CTWs are observed at all stations with periods of 2–6 days after northerly storms. The Absheron Peninsula, old Sefidrud delta, and Nur coasts were identified as the CTWs prone regions. The generation of CTWs in these locations was confirmed using numerical experiments. The propagation away from the generating location of CTWs was analyzed using a representative real wind storm. In the west part of the CS, the generation mechanism of CTWs is mainly similar to the barotropic Kelvin waves; in contrast, it is similar to the continental shelf waves in the southern shelves. The results can be used to study the contribution of generated CTWs to the transport of sediment and biological materials in all large lakes.     

长沙太平街湘绣产品的市场调查与分析

长沙是湘绣的发源地,集湘绣的研发、生产、销售于一体,拥有着独特的湘绣文化。太平街坐落于长沙市老城区南部,是一条商业繁荣、游客众多的文化老街,主要以销售长沙当地特产、传统手工艺品、特色小吃等为主,极具湖湘文化魅力,吸引了许多外来游客。笔者以太平街为研究范围,对太平街区域内的湘绣销售情况进行了问卷调查,调查显示,太平街区域内的湘绣产品销售情况与湘绣产品的种类和游客群的构成特征关系密切。基于上述调查结果,笔者对当下的长沙地区湘绣销售的前景和未来湘绣文化产品的推广,进行了分析并提供了新的思路。