The Impact of Lifestyle Factors on Migraine Frequency and Severity in Neurology

Objective: This systematic review examines the impact of lifestyle factors on migraine frequency and severity through a comprehensive analysis of lifestyle factors such as diet, physical activity, sleep patterns, stress, mental health, and environmental influences. Methods: We thoroughly searched Google Scholar, PUBMED, Scopus, and Web of Science databases using keywords related to migraines and lifestyle factors. Keywords incorporated the Boolean operator “and” to narrow search results. Following the PRISMA guidelines, we identified, screened, and evaluated studies for inclusion, resulting in nine studies meeting the eligibility criteria. Results: A total of 4917 records were initially identified from Scopus (2786), PubMed (854), and Web of Science (1277). Following deduplication, 3657 records underwent title screening, with 382 additionally screened by abstract. Ultimately, 88 full-text articles were assessed, resulting in 9 studies meeting eligibility for qualitative synthesis: 7 prospective and 2 retrospective studies. Our findings highlight the multifaceted role of lifestyle factors in migraine pathophysiology and management. Dietary habits, such as high-calorie, high-fat, and gluten-containing diets were linked to migraine triggers. Moderate physical activity showed beneficial effects on migraine management, while intense exercise could exacerbate symptoms. Poor sleep hygiene and insomnia were strongly associated with increased migraine frequency and severity. Chronic stress and poor mental health significantly contributed to migraine exacerbation, with stress management techniques proving beneficial. Environmental factors, including light, sound, weather changes, and allergens, were also identified as significant migraine triggers. Conclusions: Personalized lifestyle modifications, tailored to individual patient profiles, are crucial in managing migraines. Evidence-based recommendations include balanced diets, moderate physical activity, improved sleep hygiene, stress management techniques, and environmental adaptations.

Landscape Pattern Evolution Processes of Alpine Wetlands and Their Driving Factors in the Zoige Plateau of China

Zoige Plateau wetlands are located in the northeastern corner of the Qinghai-Tibet Plateau.The landscape pattern evolution processes in the Zoige Plateau and their driving factors were identified by analyzing the dynamic changes in landscape modification and conversion and their dynamic rates of alpine wetlands over the past four decades.The results showed that the landscape conversion between wetlands and non-wetlands mainly occurred during the period from 1966 to 1986.The marsh wetland area converted from lake and river wetlands was larger because of swamping compared to other wetland landscapes.Meanwhile,the larger area of marsh wetlands was also converted to lake wetlands more than other types of wetlands.The modification processes mainly occurred among natural wetland landscapes in the first three periods.Obvious conversions were observed between wetland and nonwetland landscapes(i.e.,forestland,grassland,and other landscapes) in the Zoige Plateau.These natural wetland landscapes such as river,lake and marsh wetlands showed a net loss over the past four decades,whereas artificial wetland landscapes(i.e.,paddy field and reservoir and pond wetlands) showed a net decrease.The annual dynamic rate of the whole wetland landscape was 0.72%,in which the annual dynamic rate of river wetlands was the highest,followed by lake wetlands,while marsh wetlands had the lowest dynamic rate.The integrated landscape dynamic rate showed a decreasing trend in the first three periods.The changes in wetland landscape patterns were comprehensively controlled by natural factors and human activities,especially human activities play an important role in changing wetland landscape patterns.

An Association Pattern of Constituent Factors of the Elder Care Community in China

With the development of the aging society in China,the contradiction between the growing old people and the shortage of the elder care community has been increasingly sharp.How to reasonably and effectively establish the elder care community becomes a problem that demanding prompt solution in China.This paper,starting from the most basic constituent factors of the elder care community,namely the concept,the configuration and the service,analyzes 6 types of the concept,redefines the type of the building configuration of the elder care community,and explains the types and levels of the service,which aims to guide the elder care community to deal with the relationship between the 3 factors with a view to providing a reference for the architectural design and standard preparation in the elder care community.

Changes and Influencing Factors of Maize Production Pattern in China

Since the founding of new China,the maize production pattern took on characteristic of " northern expansion and western movement" : there were great changes in ranking of main producing provinces; southern planting area gradually shrank,while central and northern planting area gradually expanded; apart from traditional main producing regions such as northeastern,north China,and southwestern regions,Shanxi- Shaanxi region and northwest region are gradually forming. To further analyze factors promoting changes in maize production pattern,based on 1987- 2013 panel data,we carried our empirical study and obtained five influencing factors: resource endowment,economic environment,market environment,technical conditions,and policies. Per capita farmland,multiple cropping index,water conservancy and irrigation,and benefit cost ratio,and traffic and transportation policies exert positive effect,non-agricultural employment level exerts negative effect,and the significance of natural disasters,market price,and science and technology are inadequate.

Spatial Pattern and Influencing Factor Analysis of Attended Collection and Delivery Points in Changsha City, China

Attended collection and delivery points are vital components of ‘last-mile logistics’.Based on point of interest(POI) data for Cainiao Stations and China Post stations in Changsha City, China, this paper provides a detailed exploration of the basic features, spatial distribution, and location influencing factors of attended collection and delivery points.Specifically, analyses of the types, service objects and location distributions of the attended collection and delivery points alongside a discussion of their spatial pattern and influencing factors provides a reference for their general geographic layout and characteristics.The findings of this study indicate that: 1) The main mode of operation of attended collection and delivery points is franchises, with other modes of operation rely on supermarkets and other individual shop types.2) The main service targets of attended collection and delivery points are communities, schools, and businesses, followed by townships, enterprises, scenic spots, and administrative units.3) Approximately 77.44% of the attended collection and delivery points are located near the exits of service areas;others are situated in the centre of the service areas.For the Cainiao Stations, 80% are located within 125 m of the exit;for the China Post stations, 80% are located within 175 m of the exit.4) The spatial distribution of the attended collection and delivery points in Changsha is unbalanced, with ‘more centre and fewer surrounding’.The centre is an ‘inverted triangle’, and the edge is an ‘orphan’, showing a northwest-southeast orientation and symmetrical along the axis.The layout of the attended collection and delivery points forms three core areas, and the number of sites decreases with the distance from the core.5) The number and distribution of the attended collection and delivery points are strongly consistent with the regional economic development level, population, and roadway system traffic convenience.Most attended collection and delivery points are on residential, scientific and educational, and commercial and financial land.

Factors and Pattern of Injuries Associated with Road Traffic Accidents in Hilly District of Nepal

Introduction: In 21st century, road traffic accidents (RTA) are considered as increasing epidemic of non-communicable disease which is abandoned and needs special attention to prevent them. The aim of this study was to assess the factors and pattern of injuries associated with road traffic accidents. Methods: A cross sectional study was conducted among 112 RTA victims and 56 drivers in Palpa District of Nepal. The association of factors and pattern of injuries with exposure to accidents was assessed using Fisher’s exact test. Bivariate logistic regression examined the association between driving and socio-demographics factors and exposure to road accidents. Results: Of 112 RTA victims, 50% were in the age group of 21 to 40 years and 71.4% were male. Drivers who were in the age less than or equal to 30 years were more likely (OR: 3.6;95% CI: 1.0, 14.3) to expose to an accident than those who were above 30 years. Similarly, those having driving speed less than 40 km/hr were less likely to expose to an accident than those with speed 40 - 60 km/hr (OR: 6.0;95% CI: 0.8, 73.5) and those with speed more than 60 km/hr (OR 7.8;95% CI: 1.0, 100.1). Moreover, the driving experience was also found positively associated (OR: 5.6;95% CI: 1.1, 35.5) with the exposure to an accident. Conclusion: Being in younger age group, male gender, morning time, the driving speed, driving experiences, and driving hours on the road were positively associated with RTA. The efforts should be made to enforce laws in control of speed targeting experienced drivers and those with younger age groups.

Influencing Factors and Urbanization Effects of the Spatial Pattern of Floating Population in Anhui Province

Based on the population census data,this paper analyzed the influencing factors and urbanization effects of the floating population in Anhui Province using ArcGIS spatial analysis,factor analysis,multiple liner regression,and spatial autocorrelation,and reached the following conclusions:① From 2000 to 2010,the floating population in Anhui Province was concentrated in cities dotted the Huai River and the Yangtze River,and Hefei City absorbed the most inter-provincial floating population and intra-provincial floating population.② The overall economic strength had the greatest impact on attracting floating population,while the income level factor has less impact on attracting floating population.The overall economic strength and the strength of science,education,culture,and health of prefecture-level cities in Anhui Province were more attractive to the intra-provincial floating population and less attractive to the inter-provincial floating population.③ Population mobility promoted urbanization.Large cities could attract more migrants from counties.The urban population system in Anhui Province was generally developing towards the concentration of large cities,while the proportion of the county population in the total population was decreased.

Spatial Pattern Characteristics and Influencing Factors of National Forest Cities in China

In view of the deficiency of national forest cities in the exploration of spatial pattern and influencing factors,this paper adopted the methods of nearest neighbor analysis,kernel density analysis and unbalanced index calculation to analyze the spatial agglomeration pattern and spatial differentiation pattern of national forest cities.The factors affecting the selection and distribution of national forest cities were investigated by using the geographic detector and GWR model.The research results show that:① National forest cities show a spatial aggregation pattern of “east and west sparse,gradient change”,whose distribution is closely related to the climatic area;② The number of national garden cities,forest coverage rate,urbanization rate and local general budget income are four factors that have significant influence on the selection and distribution of national forest cities;③ The four significant influencing factors all have different degrees of spatial non-stationarity,and their two-factor and nonlinear enhancement effects can be generated after two interactions,among which the enhancement effect is the most obvious when the local general budget income interacts with other factors.

荔枝GRF基因家族的全基因组鉴定及表达分析

为揭示荔枝(Litchi chinensis)GFR基因的功能,对荔枝生长调控因子(LcGRF)基因家族进行了全基因组鉴定和分析,并研究其在荔枝中的表达模式。基于荔枝基因组数据库,使用生物信息学软件对LcGRFs家族成员进行全基因组鉴定,分析基本理化性质、染色体定位、基因结构、进化关系、蛋白保守基序、顺式作用元件和时空表达情况进行系统分析。共获得12个GRF基因,不均匀地分布在10条染色体上,内含子2~5个。蛋白保守基序分析发现,荔枝GRF蛋白均含有保守的motif1(WRC)和motif2(QLQ),进化分析LcGRF划分为5个亚家族,LcGRFs启动子上存在大量的光、植物激素、非生物胁迫响应以及生长发育相关的顺式作用元件。不同转录组表达模式结果显示,各个组织中呈现出多样化的表达特征,表明不同成员可能在荔枝不同生长发育过程中发挥调控作用,参与调节荔枝的生长发育。研究显示,荔枝GRF家族成员有12个,划分为5个亚家族。

四川省大豆生产格局变化及驱动因素研究

四川省是我国13个粮食主产区之一,也是我国大豆种植的新兴地区和西南产区的重要组成,研究大豆生产格局对四川省落实粮食安全战略、推动西南地区大豆产业发展具有重大意义。文章基于2000—2020年四川省183个区市县的面板数据,运用空间基尼指数、地理集中度系数、空间转移系数、探索性空间数据分析、最优地理探测器分析了大豆生产的时空格局变化及驱动因素。研究结果发现:1)2000—2020年,四川省大豆产能波动上升,空间分布极不均衡,聚集水平逐步上升,并逐步向川中丘陵区集中;2)大豆生产存在较强的正向空间相关性,总体表现为高-高聚集和低-低聚集;3)资源要素、比较收益、地理气候、经济社会等因素对大豆生产格局变化的影响均高度显著,且呈现非线性增强、双因子增强的交互效应。资源要素投入、比较收益、海拔高程长期以来对大豆生产格局的影响较为显著且呈波动上升趋势,气温、乡村家庭规模的影响力提升较快,交通条件、地区GDP的影响力则总体呈下降趋势,耕作制度长期以来驱动力最弱。基于此,四川省大豆生产应着力破解耕地资源细碎化与劳动力短缺等资源环境约束,大力发展生产性服务业,全面提升大豆生产机械化水平。通过强化科技创新提升川豆单产,并进一步优化大豆生产、农机、服务、保险等环节的政策保障。同时,应重点关注气候变化引发的干旱等自然风险,健全农业领域自然灾害风险预警与防范机制,以进一步强化大豆产业的综合风险抵御能力。

A distribution pattern assisted method of transcription factor binding site discovery for both yeast and filamentous fungi

Transcription factors (TFs) are the core sentinels of gene regulation functioning by binding to highly specific DNA sequences to activate or repress the recruitment of RNA polymerase. The ability to identify transcription factor binding sites (TFBSs) is necessary to understand gene regulation and infer regulatory networks. Despite the fact that bioinformatics tools have been developed for years to improve computational identification of TFBSs, the accurate prediction still remains changeling as DNA motifs recognized by TFs are typically short and often lack obvious patterns. In this study we introduced a new attribute-motif distribution pattern (MDP) to assist in TFBS prediction. MDP was developed using a TF distribution pattern curve generated by analyzing 25 yeast TFs and 37 of their experimentally validated binding motifs, followed by calculating a scoring value to quantify the reliability of each motif prediction. Finally, MDP was tested using another set of 7 TFs with known binding sites to in silico validate the approach. The method was further tested in a non-yeast system using the filamentous fungus Magnaporthe oryzae transcription factor MoCRZ1. We demonstrate superior prediction reranking results using MDP over the commonly used program MEME and the other four predictors. The data showed significant improvements in the ranking of validated TFBS and provides a more sensitive statistics based approach for motif discovery.

淮剧艺术特征解析及设计因子应用探寻

在非遗活态化传承的时代背景下,非遗文创产品的开发对于非遗文化的传承与保护有着重要意义。而作为国家级非物质文化遗产的淮剧,是集文学、音乐、美术、舞蹈、杂技于一体的综合艺术,极具美学与文化价值。通过梳理淮剧艺术视觉元素的构成,从形态、图案、色彩三方面提取其中具代表性、典型性的文化符号,结合现代创意设计方法,探究淮剧元素融入现代生活的新载体,更好地延续其文化基因,助力淮剧文化的活态化传承。

Brain derived neurotrophic factor keep pattern electroretinogram from dropping after superior colliculus lesion in mice

AIM： To determine if brain-derived neurotrophic factor （BDNF） could offer protention to retinal ganglion cells following a superior colliculus （SC） lesion in mice using pattern electroretinogram （PERG） and optical coherence tomography （OCT） as a measures of ganglion cell response and retinal health. METHODS： Seven C57BIJ6J mice with BDNF protection were tested with PERG and OCT before and after SC lesions, RESULTS： Compared with baseline PERG, the amplitude of PERG decreased 11.7% after SC lesions, but not significantly（P〉0.05）. Through fast Fourier transform （FFT） analysis of the PERGs before and after SC lesions, it was found that dominant frequency of PERGs stayed unchanged, suggesting that the ganglion cells of the retina remained relatively healthy inspite of damage to the ends of the ganglion cell axons. Also, OCT showed no changes in retinal thickness after lesions. CONCLUSION： It was concluded that BDNF is essential component of normal retinal and helps retina keeping normal function. While retina lack of BDNF, ex vivo resource of BDNF provides protection to the sick retina. It implies that BDNF is a kind therapeutic neurotrophic factor to retina neurodegeneration diseases, such as glaucoma, age related macular degeneration.

中国旅游产业链发展格局演变及空间效应研究

产业链现代化是建设现代化产业体系及助推中国式现代化进程的重要抓手,全面揭示旅游产业链发展现状及其影响因素对于提升旅游产业链现代化水平具有实际意义。该文以2001-2019年中国30个省域为研究对象,构建涵盖旅游供需链、企业链、空间链、价值链的旅游产业链发展水平评价指标体系,利用核密度估计、Dagum基尼系数及其分解、探索性空间数据分析等方法对中国旅游产业链发展的时序演变规律、空间差异特征及空间关联格局进行分析,并运用空间杜宾模型探讨影响中国旅游产业链发展的主要因素及其空间效应。研究发现:(1)中国旅游产业链发展水平呈平稳提升态势,表现出由东部地区向中部、东北及西部地区递减的分布态势。(2)中国旅游产业链发展的总体区域差异呈波动缩小趋势,区域间差异是其主要来源,且东部与西部地区旅游产业链发展的区域间差异最大;东部地区旅游产业链发展的区域内差异最大,西部、东北地区次之,中部地区最小。(3)中国旅游产业链发展具有空间相关性和空间集聚特征,供给、需求、创新、政策等层面因素是影响中国旅游产业链发展的主要因素。其中,旅游资源禀赋、旅游人力资本、互联网、产业融合发展与对外开放水平有利于推进本地区旅游产业链发展,旅游需求总量、旅游需求结构与对外开放水平能通过正向空间溢出效应带动邻近地区旅游产业链发展。

黄河流域气溶胶时空异质性及影响因素分析

基于大尺度黄河流域的长时序气溶胶光学厚度(AOD)的分析较少,且因素分析也集中在气象条件方面,针对该问题,搜集了MODIS气溶胶产品数据,基于地理加权回归模型(GWR)分析了整个黄河流域的时空变化特征,定量探讨了地理环境、自然气象和社会经济对AOD的综合影响。结果表明:黄河流域AOD整体为下降趋势,由2001年的0.38下降至2020年的0.22。AOD的变化具有明显的季节性,春夏季高于秋冬季,这可能是气温、大气扩散条件和植被覆盖等因素共同作用的结果;从空间分布角度来看,研究区AOD为自西向东呈现梯度递增分布,与流域DEM分布趋势相反,说明地形与气溶胶之间有密切关联。基于GWR模型的研究结果表明:地形植被对整个黄河流域AOD影响程度最大,其次为社会经济、自然气象。针对黄河流域内重点城市的研究结果表明:不同城市气溶胶光学厚度的月际变化有较大差异,流域上游城市西宁、银川和包头的AOD水平较低,冬季AOD最高,夏季AOD最低,而中下游城市夏季AOD最高,冬季最低。

淮海经济区绿色发展水平时空演变特征及障碍因子识别

文章基于绿色发展理念,构建淮海经济区绿色发展的综合评价指标体系,运用熵值法、空间自相关及障碍度模型测度和分析了2012-2018年淮海经济区19个地级市绿色发展水平的时空格局及其主要障碍因子。研究表明,(1)淮海经济区绿色发展水平在波动中略有提升,江苏省的绿色发展水平一直高于淮海经济区整体水平。(2)淮海经济区绿色发展呈现出“东南高,西部低”的特征,绿色发展存在差异性,经济因素是区域差异的主要原因,区内与区间的差异贡献度相近。绿色发展水平存在异质性,“高-高”区域主要集中在东南部,“低-低”区域主要集中在河南及其与山东和安徽交界区域。(3)外商直接投资、创新投入、工业企业生产效率、城市基础设施和城市环境治理水平的障碍作用较大。

流域视角下安徽省传统村落时空格局差异性研究

选取安徽省内淮河流域和长江流域传统村落为研究对象,从时间和空间两个维度分析传统村落演化差异性并探究影响传统村落分布的主要驱动因子。结果表明:(1)在时间维度,在历史发展进程中传统村落差异明显。淮河流域经历“萌芽期—雏形期—形成期—饱和期—平缓期”,传统村落以农耕生活方式平稳发展。长江流域经历“萌芽期—雏形期—发展期—转变期—鼎盛期”,传统村落以经商生活方式迅速发展;(2)在空间维度,传统村落重心迁移路径均为由北向南,但空间格局特征差异性显著。淮河流域传统村落主要聚集在耕地密集的淮河北岸但聚集度较低,分布聚集度先减小后增加。长江流域传统村落显著聚集在长江南岸,分布聚集度持续增加;(3)两流域内传统村落均主要分布在低海拔、低坡度、邻水系及气候适宜的地区,不同历史时期气温和降水是影响传统村落空间分布的主要驱动因子,长江流域传统村落受高程影响程度高于淮河流域。长江流域内现存传统村落空间分布受地均GDP和人口密度影响程度高于淮河流域内传统村落。

唐宋诗词服饰翻译中的文化因素探析

唐宋诗词中的服饰描写涉及当时的服装材质、服饰工艺、服饰样式、图案纹样、配饰装饰及着装风俗,体现了唐宋时期的服饰风格和形态,折射了当时的服饰发展状况和服饰文化内涵,展现了唐宋时期特有的审美态度,是展现中国文化的典型符号之一。唐宋诗词服饰描写中蕴含着丰富文化内涵,能否对其进行准确翻译影响到服饰文化的有效国际传播,以及诗词意境、美感的等效传递。据此,该文从社会历史、纹样内涵及东方美学的维度探讨文化因素对唐宋诗词服饰翻译的影响,并试图为国际服饰文化交流和研究提供新媒体环境下的翻译建议及参考。

广西成年居民膳食模式与代谢综合征的关系研究

目的分析广西成年居民膳食模式与代谢综合征(MS)的关系,为MS人群的膳食营养指导和干预提供科学依据。方法利用2015-2017年广西成年居民营养调查数据,将问卷调查、膳食调查、体格测量和实验室资料均完整的18岁及以上成年常住居民纳入本次分析对象。采用主成分因子分析方法和非条件logistic回归模型分析、探讨膳食模式的特点及其与MS的关系。结果2015-2017年共调查2372人,其中MS共355例,MS患病率为15.0%。非MS组和MS组人群在脂肪、碳水化合物、铜3个项目的摄入量存在差异。广西成年居民膳食模式共归纳为5种,分别是高蛋白膳食模式、蔬菜水果膳食模式、高膳食纤维膳食模式、高脂肪膳食模式和高胆固醇钠膳食模式。高脂肪膳食模式的脂肪摄入量最高,脂肪供能比高达50.4%;高胆固醇钠膳食模式的钠摄入量最高,蛋白质和膳食纤维摄入量最低。非条件logistic回归模型分析结果显示,调整了城乡、性别、年龄、民族、教育程度等混杂因素后,高脂肪膳食模式和高胆固醇钠膳食模式可造成居民MS的发病风险增加。结论广西成年居民膳食模式与MS存在一定关联,据此应倡导合理膳食、适量运动,多吃蔬果、奶类,饮食清淡,预防MS的发生。

中国茶叶生产格局变迁及其影响因素研究

基于1985—2021年中国茶叶生产面板数据,采用GIS空间分析、多尺度地理加权回归模型探究中国茶叶生产格局的时空演变特征及影响因素。结果表明:(1)1985—2021年,中国茶叶生产规模不断扩大,生产重心持续“西移”,空间集聚存在显著正向规模效应,江南、华南和西南茶区聚集特征以“高高”型和“低高”型聚集为主,江北茶区未出现集聚特征,空间极化现象突出。(2)不同时期影响中国茶叶生产格局变迁的主导因素存在显著差异。1995年以有效灌溉面积和化肥投入量为主,2010年降水量、日照时数、受灾面积的影响程度逐步凸显,2020年后交通运输水平成为显著驱动因素,但是有效灌溉始终是影响茶叶生产格局变迁的主要驱动力。