Combining local regional therapy and systemic therapy:Expected changes in the treatment landscape of recurrent hepatocellular carcinoma

Improvements in early screening,new diagnostic techniques,and surgical treatment have led to continuous downward trends in hepatocellular carcinoma(HCC)morbidity and mortality rates.However,high recurrence and refractory cancer after hepatectomy remain important factors affecting the long-term prognosis of HCC.The clinical characteristics and prognosis of recurrent HCC are heterogeneous,and guidelines on treatment strategies for recurrent HCC are lacking.Therapies such as surgical resection,radiofrequency ablation,and transhepatic arterial chemoembolization are effective for tumors confined to the liver,and targeted therapy is a very important treatment for unresectable recurrent HCC with systemic metastasis.With the deepening of the understanding of the immune microenvironment of HCC,blocking immune checkpoints to enhance the antitumor immune response has become a new direction for the treatment of HCC.In addition,improvements in the tumor immune microenvironment caused by local treatment may provide an opportunity to improve the therapeutic effect of HCC treatment.Ongoing and future clinical trial data of combined therapy may develop the new treatment scheme for recurrent HCC.This paper reviews the pattern of recurrent HCC and the characteristics of the immune microenvironment,demonstrates the basis for combining local treatment and systemic treatment,and reports current evidence to better understand current progress and future approaches in the treatment of recurrent HCC.

Women＇s Cooperatives Contributions to Local Region Economy： Seferihisar Agricultural Cooperative Development Model-Turkey

The cooperative movement has played a very important role in the social and economic development of all countries since 19th eentury＇s second half. Cooperatives provide health, housing, and banking services; they promote education and gender equality; they protect the environment and workers＇ rights. According to 2014＇s data, the total number of cooperatives is 79,486 in Turkey, while the total number of partners of cooperatives is approximately 7.8 million. The research＇s sample group ＂Hidirlik Agricultural Development Cooperative＂ was founded by the wife of the Seferihisar＇s mayor and six women. It has been a subject of curiousity that the contributions of the cooperative have developed the economy of the region since 2010. Therefore, various questions asked to the president and members of the cooperative, and significant results were obtained. In this research ＂Interview technique＂ was used. The fact that within the boundaries of local governments, the establishment of ＂women＇s cooperatives＂ and their active management can be supported with 10 basic criteria for the regional and national development can be predicted. These dimensions： ecological balance and sensitivity, the revival of the tourism sector, the mobility of logistics activities, new investments and increase of land value, the increase of women employment, the increase of healthy living standards, increase of competitiveness and trade earnings, the creation of new brands, widespread of the agricultural sector, and the increase of social and educational level of women. The similiar implementation of ＂Seferihisar Women＇s Cooperatives Model＂ in the research is considered form an important enterprenurship model not only in Turkey but also for all countries.

A Local Region Molecular Dynamics Simulation Method for Nanoscale Sliding Contacts

Computational e ciency and accuracy always conflict with each other in molecular dynamics(MD) simulations. How to enhance the computational e ciency and keep accuracy at the same time is concerned by each corresponding researcher. However, most of the current studies focus on MD algorithms, and if the scale of MD model could be reduced, the algorithms would be more meaningful. A local region molecular dynamics(LRMD) simulation method which can meet these two factors concurrently in nanoscale sliding contacts is developed in this paper. Full MD simulation is used to simulate indentation process before sliding. A criterion called contribution of displacement is presented, which is used to determine the e ective local region in the MD model after indentation. By using the local region, nanoscale sliding contact between a rigid cylindrical tip and an elastic substrate is investigated. Two two?dimensional MD models are presented, and the friction forces from LRMD simulations agree well with that from full MD simulations, which testifies the e ectiveness of the LRMD simulation method for two?dimensional cases. A three?dimensional MD model for sliding contacts is developed then to show the validity of the LRMD simulation method further. Finally, a discussion is carried out by the principles of tribology. In the discussion, two two?dimensional full MD models are used to simulate the nanoscale sliding contact problems. The results indicate that original smaller model will induce higher equivalent scratching depth, and then results in higher friction forces, which will help to explain the mechanism how the LRMD simulation method works. This method can be used to reduce the scale of MD model in large scale simulations, and it will enhance the computational e ciency without losing accuracy during the simula?tion of nanoscale sliding contacts.

An Image Segmentation Algorithm Based on a Local Region Conditional Random Field Model

To reduce the computation cost of a combined probabilistic graphical model and a deep neural network in semantic segmentation, the local region condition random field (LRCRF) model is investigated which selectively applies the condition random field (CRF) to the most active region in the image. The full convolutional network structure is optimized with the ResNet-18 structure and dilated convolution to expand the receptive field. The tracking networks are also improved based on SiameseFC by considering the frame relations in consecutive-frame traffic scene maps. Moreover, the segmentation results of the greyscale input data sets are more stable and effective than using the RGB images for deep neural network feature extraction. The experimental results show that the proposed method takes advantage of the image features directly and achieves good real-time performance and high segmentation accuracy.

Standization Trends in Local Regions Ningxia Hui Autonomous Region Utilizes Standardization to Promote Economic Development

In China, 10 ethnic minorities with a combined population of over 20 million people are followers of Islam. In Ningxia Hui Autonomous Region, the population is nearly 6 million, a-mong which the Islamic population is about 2 million. In China as a whole, more than 20 million people enjoy eating food prepared according to Islamic guidelines, known as hal'al food.

基于Local特征和Regional特征的图像显著性检测

提出了一种基于颜色空间的Local特征和Regional特征的自然图像显著性检测方法.该方法将图像分成8×8的子块,计算多个尺度下每一个子块的Local特征和Regional特征,并将其加权组合来确定子块的显著程度,从而得到整个图像的显著特征.此外,通过计算4个颜色通道上的色度对比度,获得显著物体的边缘.将图像的显著特征与显著物体的边缘综合后得到图像中的显著目标.实验结果显示,本文提出的方法能够快速、清晰而准确地提取出图像中的显著性目标.

Residential environmental evaluation of local cities considering regional characteristic and personal residential preference—a case study of Saga City,Japan

Questionnaire surveys and subjective evaluations on residential environment were performed in order to grasp the main factors of residential environment of small local cities. The suitable evaluation index system was established, and the regional residential environment characteristics and personal residential preference types were analyzed, so that their influence on residential environment evaluation could be grasped. The results can be applied to the residential environment planning, construction and monitoring of local cities.

A Localization Algorithm Using a Mobile Anchor Node Based on Region Determination in Underwater Wireless Sensor Networks

At present, most underwater positioning algorithms improve the positioning accuracy by increasing the number of anchor nodes which resulting in the increasing energy consumption. To solve this problem, the paper proposes a localization algorithm assisted by mobile anchor node and based on region determination(LMRD), which not only improves the positioning accuracy of nodes positioning but also reduces the energy consumption. This algorithm is divided into two stages: region determination stage and location positioning stage. In the region determination stage, the target region is divided into several sub-regions by the region division strategy with the smallest overlap rate which can reduce the number of virtual anchor nodes and lock the target node to a sub-region, and then through the planning of mobile nodes to optimize the travel path, reduce the moving distance, and reduce system energy consumption. In the location positioning stage, the target node location can be calculated using the HILBERT path planning and trilateration. The simulation results show that the proposed algorithm can improve the positioning accuracy when the energy consumption is reduced.

Regional difference and dynamic mechanism of locality of the Chinese farming-pastoral ecotone based on geotagged photos from Panoramio

Cross-regional locality research reflects the influences of natural environment and the human activities due to the abundant land types and the multiple landscape combinations in related regions. The Chinese farming-pastoral ecotone is a typical large-scale region but few studies were conducted. This research contributed to the understanding of cross-regional locality of the Chinese farming-pastoral ecotone from different scales, including national, sectional, and provincial administrative units by utilizing geotagged photos（GTPs） obtained from the Panoramio website. The major results were as follows：（1） the locality elements of the Chinese farming-pastoral ecotone included 52 free nodes classified into 8 types of scene attributes;（2） there were huge differences between locality elements of different regions, and there was a negative correlation between the similarity degree of elements of different provinces and their spatial distances;（3） the Chinese farming-pastoral ecotone could be divided into the northern, central and southern sections, whose localities had differences in element constitution, association structure and the strength of elements, system stability and the anti-interference capability; and（4） the evolution of the localities of the northern and central sections was mainly influenced by human activities, while the locality of southern section retained more natural features. On a theoretical level, this research aimed to establish the research methodology of locality from the perspective of open data on the web with strong operability and replicability. On a practical level, this research could enrich the structuring recognition of the locality of the Chinese farming-pastoral ecotone and the comprehension of its dynamic mechanism. The results provide a reference for locality differentiation protection and the development of a cross-regional scale.

Adaptive integration of local region information to detect fine-scale brain activity patterns

With the rapid development of functional magnetic resonance imaging (fMRI) technology, the spatial resolution of fMRI data is continuously growing. This pro- vides us the possibility to detect the fine-scale patterns of brain activities. The es- tablished univariate and multivariate methods to analyze fMRI data mostly focus on detecting the activation blobs without considering the distributed fine-scale pat- terns within the blobs. To improve the sensitivity of the activation detection, in this paper, multivariate statistical method and univariate statistical method are com- bined to discover the fine-grained activity patterns. For one voxel in the brain, a local homogenous region is constructed. Then, time courses from the local ho- mogenous region are integrated with multivariate statistical method. Univariate statistical method is finally used to construct the interests of statistic for that voxel. The approach has explicitly taken into account the structures of both activity pat- terns and existing noise of local brain regions. Therefore, it could highlight the fine-scale activity patterns of the local regions. Experiments with simulated and real fMRI data demonstrate that the proposed method dramatically increases the sensitivity of detection of fine-scale brain activity patterns which contain the subtle information about experimental conditions.

Study on Dominant Expression of Regional Culture of the Qinling Mountains in Local Residential Buildings

Regional culture of the Qinling Mountains shows distinct features since it was born in the local outstanding ecological environment, study on local architecture is significant for the dominant expression of regional culture, protection of local environment, and echoing with the theme of ecological civilization construction. This paper, on the basis of the mutual infl uence and evolution of regional culture and style of local residential buildings, explored the reasons for the weakening of local architectural style, and specified the signifi cance of promoting local style of the living environment. By studying the infl uence of local natural environment and humanistic environment on architectural style along the northern foot of the Qinling Mountains, the paper explored the expression of regional culture in residential buildings, with Xian Garden(Xi'an Yuanzi) as an example, and aimed at giving useful help to the dominant expression of regional culture in modern residential buildings.

Brain Localization and the Integrated Systems Hypothesis: Evidence from Broca’s Region

The human brain is a fascinatingly complex organ with specialized structures associated with distinct functions. Classical and recent studies on brain localization propose that Broca’s area underpin expressive language and this has been generalized to explain brain functional organization. However, recent neuroimaging studies have shown that the Broca’s area is an extended network that not only participate in its primary function-expressive language processing but in secondary functions-processing non-linguistic/nonverbal tasks as well. Also, there is hierarchical connectivity and interaction of Broca’s region and different brain areas in underlying related primary functions. For this review, I start with revisiting the classical description of brain localization. I then discuss the neuroanatomy of language production and the role of Broca’s region in language processing. I then highlight the participation of the Broca’s area in non-linguistic tasks and non-primary linguistic tasks. Ultimately, I propose a novel hypothesis called integrated systems hypothesis. The integrated systems hypothesis is useful for guiding research on the multimodal role of specific localized integrated systems of the brain especially the role of the Broca’s region in integrating linguistic and non-linguistic processing and how this facilitate language production.

区域感知校准的自适应人群计数与定位方法

密集场景下准确人群计数和定位,对于保障公共安全具有重要的意义。针对密集人群计数与定位易受人群分布不均、背景干扰等因素的影响,导致计数定位不准确的问题,提出一种基于区域感知校准的自适应人群计数与定位方法。通过构建金字塔结构提取人群图像的多尺度特征,增强特征关联性,并设计可变形几何自适应模块学习不同分布的人群几何特征,以增强对人群分布不均的适应性。在此基础上,提出区域感知和区域校准模块,提取全局上下文特征和区域特征,克服了背景干扰造成的定位与计数不准问题。接着通过双分支卷积预测通路,输出生成点的预测位置和置信度分数,以提高网络的定位与计数精度。最后提出改进二分图最大匹配Hopcroft-Karp算法对真值点与预测点进行匹配校准,从而完成人群定位与计数。实验结果表明,所提方法分别在公开的ShanghaiTech Part A和Part B数据集、NWPU-Crowd数据集、UCF-QNRF数据集上评价指标均优于对比算法,且定位精度较P2Pnet分别提高了3.5%、6.1%、11.3%和8.1%,能够有效提高人群定位与计数的准确度。

区域协调、央地关系和基本权利的中央化

区域协调发展本质上是个中央和地方关系的议题,要促进“效率”和“公平”兼顾的区域协调发展,根本上有赖于建立合理的央地关系。改革开放以来,我国中央和地方关系的制度安排呈现出“效率优先、兼顾公平”的总体取向,在地区竞争模式下试图通过缩小地区增长差距来推动区域之间协调发展。当我国逐渐进入第三产业占主导、经济空间集聚程度不断提高的新阶段,区域协调发展战略面临着由“推动地区经济增长”向“居民基本公共服务均等化”的转型。根据事务属性合理划分中央和地方权限,推动“公民基本权利的中央化”,落实中央政府基本公共服务均等化供给的责任,是推动区域协调发展战略真正做到“公平”和“效率”兼顾的制度保障。

地方竞争与区域协同导向下先进制造业政策适配性评估——以粤港澳大湾区九市为例

先进制造业作为引领经济高质量发展的基础力量,政府政策支持是增强其竞争力与协同度的必要条件。在地市层面,先进制造业政策普遍孤立且内容同构。政策适配性作为专门的理论视角有助于解决此类问题。它包括政策竞争取向与产业竞争力适配、政策配置水平与供给能力适配、政策协同取向与产业协同度适配三个维度,突出积极政策目的和相对需求标准。进一步构建评估的操作化方案并用于粤港澳大湾区九市实证分析,发现部分地市政策在相应维度的适配性欠佳且行业差异较大,政策目标未能紧扣产业结构中的短板进行设置,政策工具泛化且统筹分工机制不健全。为此,可从政策导向与要素选择、资源利用与政策创新、权责划分与统筹协调等方面着力,推动地市先进制造业政策适配性提升。

财政分权、地方政府创新偏好与区域创新能力

本文基于2007-2021年我国30个省份的面板数据,通过建立系统GMM模型实证分析财政分权对区域创新能力的影响。研究表明:财政分权显著促进区域创新能力,以地方政府创新偏好为中介变量,财政分权能通过促进地方政府创新偏好,进而正向影响区域创新能力。分地区考察发现,财政分权对区域创新能力的影响存在地区差异性。在东中部地区,财政分权会显著促进区域创新能力;在西部地区,财政分权与区域创新能力的关系并不显著。

产教融合背景下新疆高校服务区域经济发展现状与对策研究——以昌吉回族自治州三所高校为例

高等教育是区域发展的动力之源,地方高校与区域经济二者相互促进,才能实现共生发展与互动共赢。从昌吉回族自治州(以下简称昌吉州)三所高校开展产教融合现状入手,分析其存在产教融合配套政策不够完善、学科专业建设与社会需求有差距、教师队伍的现状与需求不适应、教学运行与管理不够规范、应用型研究与成果转化不足等问题,有针对性地提出加大政策支持力度,激发产教融合活力;优化学科专业布局,精准对接企业需求;加强师资队伍建设,赋能区域经济发展;建立教育发展机制,不断探索育人新模式、加强应用型科学研究,推动科研成果转化等对策建议。

太平洋岛国本土智库的特色及发展趋势

[目的/意义]深入了解太平洋岛国本土智库,不仅有助于国内学术界更好地开展太平洋岛国研究,洞悉太平洋岛国的真实需求,而且有助于中国加强同太平洋岛国本土智库的合作,推动中国同太平洋岛国全面战略伙伴关系快速、深入发展。[方法/过程]以太平洋岛国本土智库的观点、发布的文件为研究对象,采用内容分析法和文本分析法,概述太平洋岛国本土智库,分析太平洋岛国本土智库的特色,并对其发展趋势做出重点研判。[结果/结论]研究发现,太平洋岛国本土智库独具特色,主张和平、发展与合作,拒绝地缘竞争,倡导构建和谐与稳定的地区秩序。在全球治理视域下,太平洋岛国本土智库聚焦气候变化、海洋治理等人类面临的共同紧迫问题,不仅提出了许多全球治理的新方案或路径,而且不断践行这些新方案或路径,为当今疲软的全球治理注入了新活力。

“文化+科技”发展下泰州地区旅游项目设计分析

文化与旅游产业融合发展已经成为必然趋势,科技是文旅融合发展的联接手段,科学技术的创新运用能够为文化和旅游融合发展赋予新能量,促进文旅融合发展。立足泰州地方经济发展,对泰州区域内有代表性的旅游景区、景点进行实证调查研究,为泰州地区旅游景区、景点运用高新技术实现文化与旅游深度融合发展提出可操作性建议,使泰州的历史文化资源得到更加充分的利用和发扬传承,促进泰州文化旅游经济的进一步发展。