Vulnerability and Conservation of Nearshore Cetaceans to Increasing Vessel Traffic:The Indo-Pacific Humpback Dolphin in the South China Sea

A comprehensive risk assessment to evaluate the vulnerability of the nearshore cetaceans to increasing marine traffic is lacking.In this study,the risk to Indo-Pacific humpback dolphins(Sousa chinensis)in the main habitats in China was assessed based on a semiquantitative spatial vulnerability analysis.85%of the(sub)population which overlapped with the lanes of ferries and/or cargo vessels,with exposure scores of 1.23±0.31(calculated based on the proportion of sea routes that overlap the dolphin’s range).A combination of high exposure to the sea routes and sensitivity to marine traffic would render the(sub)populations to be highly vulnerable(EPRE:5.21 and XM:4.47).A low frequency of vessels and an awareness of the ecology assures a low vulnerability(SH:2.43,EZ:2.73).Uncertainty scores were commonly lower for the higher vulnerable populations,and higher for the lower vulnerable populations,suggesting additional field data and more monitoring are necessary.Six years of field data have been used to analyze the influences of various types of marine traffic on humpback dolphin behavior.Fishing and non-fishing vessels were significantly different(χ^(2)=65.19,p<0.01).The humpback dolphins were attracted by fishing vessels(83.1%)but avoided non-fishing vessels(95.2%).We recommend a management with seasonal and geographical constraints,to balance economic development and environmental conservation.

India and the Indo-Pacific Strategy Vision： Orientation, Involvement and Limits

In 2017, the Trump administration formally articulated its vision for the Indo-Pacific strategy, replacing "Asia-Pacific" with"Indo-Pacific"in policy papers and taking measures to promote the realization of an "Indo-Pacific dream". This represents a significant adjustment in US regional policies. An important power in the Indian Ocean region, India is perceived as key to the successful implementation of this Indo-Pacific strategy. Generally speaking, the current Indian government and strategy circle actively support the upgrading of the"Indo-Pacific"concept from a geographical and academic term to a US vision for foreign strategies, anticipating that India could garner significant strategic benefits from it. Given this, New Delhi will continually adapt its foreign policies to the US Indo-Pacific strategy and may even direct the development of the strategy to counter the Belt and Road Initiative, work with other nations to balance China's influence and finally make the rise of India as a great power a reality. Nonetheless, the Indo-pacific strategy is in its early stages, and the content is not completely pro-India currently. On top of this India is still skeptical of the US and will proceed cautiously, leaving room for maneuver in the future,fully tapping into the benefits of the Indo-Pacific strategy and avoiding direct confrontation with China.

New Trends in Japan's“Indo-Pacific”Strategy

Introduced by the late Prime Minister Shinzo Abe and inherited and developed by Fumio Kishida,Japan's“Indo–Pacific”strategy has gradually taken shape.This strategy can be deemed a broad vision,covering a wide range of topics and an extensive network of partners,with a strong trend of pan-securitization.It is a comprehensive inter national st rateg y based on Japan's alliance policy and China containment strategy,following a global,security-oriented approach.Driven by considerations such as maintaining its economic status,realizing its long-cherished dream of becoming a political powerhouse,and containing China,Japan has stepped up its“Indo–Pacific”strategy,which may influence global development,undermine regional maritime security,and impede China's reunification process.Meanwhile,Japan's“Indo–Pacific”strategy faces the triple challenge of a strategic overdraft,the unstable economic foundations,and the weak external support.These constraints may not suffice to reverse the direction of Japan's“Indo–Pacific”strategy in the short term but will limit its effectiveness.

Artificial self-powered and self-healable neuromorphic vision skin utilizing silver nanoparticle-doped ionogel photosynaptic heterostructure

Artificial skin should embody a softly functional film that is capable of self-powering,healing and sensing with neuromorphic processing.However,the pursuit of a bionic skin that combines high flexibility,self-healability,and zero-powered photosynaptic functionality remains elusive.In this study,we report a self-powered and self-healable neuromorphic vision skin,featuring silver nanoparticle-doped ionogel heterostructure as photoacceptor.The localized surface plasmon resonance induced by light in the nanoparticles triggers temperature fluctuations within the heterojunction,facilitating ion migration for visual sensing with synaptic behaviors.The abundant reversible hydrogen bonds in the ionogel endow the skin with remarkable mechanical flexibility and self-healing properties.We assembled a neuromorphic visual skin equipped with a 5×5 photosynapse array,capable of sensing and memorizing diverse light patterns.

Vision Transformer for Extracting Tropical Cyclone Intensity from Satellite Images

Tropical cyclone(TC)intensity estimation is a fundamental aspect of TC monitoring and forecasting.Deep learning models have recently been employed to estimate TC intensity from satellite images and yield precise results.This work proposes the ViT-TC model based on the Vision Transformer(ViT)architecture.Satellite images of TCs,including infrared(IR),water vapor(WV),and passive microwave(PMW),are used as inputs for intensity estimation.Experiments indicate that combining IR,WV,and PMW as inputs yields more accurate estimations than other channel combinations.The ensemble mean technique is applied to enhance the model's estimations,reducing the root-mean-square error to 9.32 kt(knots,1 kt≈0.51 m s^(-1))and the mean absolute error to 6.49 kt,which outperforms traditional methods and is comparable to existing deep learning models.The model assigns high attention weights to areas with high PMW,indicating that PMW magnitude is essential information for the model's estimation.The model also allocates significance to the cloud-cover region,suggesting that the model utilizes the whole TC cloud structure and TC eye to determine TC intensity.

基于Vision Transformer的虹膜——人脸多特征融合识别研究

为了提高生物特征识别系统的准确性和鲁棒性,本文研究基于计算机视觉的虹膜—人脸多特征融合识别方法。本文对面部图像中虹膜区域进行提取以及预处理,采用对比度增强和归一化操作,加强了特征提取的一致性,提升了图像质量。为了获取丰富的深度特征,本文使用Vision Transformer模型对预处理后的虹膜和面部图像进行特征提取。利用多头注意力机制将虹膜和面部的多模态特征信息进行融合,再利用全连接层进行分类识别。试验结果表明,该方法识别性能优秀,识别准确性显著提升。

Dual-Path Vision Transformer用于急性缺血性脑卒中辅助诊断

急性缺血性脑卒中是由于脑组织血液供应障碍导致的脑功能障碍,数字减影脑血管造影(DSA)是诊断脑血管疾病的金标准。基于患者的正面和侧面DSA图像,对急性缺血性脑卒中的治疗效果进行分级评估,构建基于Vision Transformer的双路径图像分类智能模型DPVF。为了提高辅助诊断速度,基于EdgeViT的轻量化设计思想进行了模型的构建;为了使模型保持轻量化的同时具有较高的精度,提出空间-通道自注意力模块,促进Transformer模型捕获更全面的特征信息,提高模型的表达能力;此外,对于DPVF的两分支的特征融合,构建交叉注意力模块对两分支输出进行交叉融合,促使模型提取更丰富的特征,从而提高模型表现。实验结果显示DPVF在测试集上的准确率达98.5%,满足实际需求。

Variation of Indo-Pacific upper ocean heat content during 2001–2012 revealed by Argo

Understanding of the temporal variation of oceanic heat content （OHC） is of fundamental importance to the prediction of climate change and associated global meteorological phenomena. However, OHC characteristics in the Pacific and Indian oceans are not well understood. Based on in situ ocean temperature and salinity profiles mainly from the Argo program, we estimated the upper layer （0-750 m） OHC in the Indo-Pacific Ocean （40°S-40°N, 30°E-80°W）. Spatial and temporal variability of OHC and its likely physical mechanisms are also analyzed. Climatic distributions of upper-layer OHC in the Indian and Pacific oceans have a similar saddle pattern in the subtropics, and the highest OHC value was in the northern Arabian Sea. However, OHC variabilities in the two oceans were different. OHC in the Pacific has an east-west see-saw pattern, which does not appear in the Indian Ocean. In the Indian Ocean, the largest change was around 10°S. The most interesting phenomenon is that, there was a long-term shift of OHC in the Indo-Pacific Ocean during 2001-2012. Such variation coincided with modulation of subsurface temperature/salinity. During 2001-2007, there was subsurface cooling （freshening） nearly the entire upper 400 m layer in the western Pacific and warming （salting） in the eastern Pacific. During 2008-2012, the thermocline deepened in the western Pacific but shoaled in the east. In the Indian Ocean, there was only cooling （upper 150 m only） and freshening （almost the entire upper 400 m） during 2001-2007. The thermocline deepened during 2008-2012 in the Indian Ocean. Such change appeared from the equator to off the equator and even to the subtropics （about 20°N/S） in the two oceans. This long-term change of subsurface temperature/salinity may have been caused by change of the wind field over the two oceans during 2001-2012, in turn modifying OHC.

细粒度图像分类上Vision Transformer的发展综述

细粒度图像分类(fine-grained image classification,FGIC)一直是计算机视觉领域中的重要问题。与传统图像分类任务相比,FGIC的挑战在于类间对象极其相似,使任务难度进一步增加。随着深度学习的发展,Vision Transformer(ViT)模型在视觉领域掀起热潮,并被引入到FGIC任务中。介绍了FGIC任务所面临的挑战,分析了ViT模型及其特性。主要根据模型结构全面综述了基于ViT的FGIC算法,包括特征提取、特征关系构建、特征注意和特征增强四方面内容,对每种算法进行了总结,并分析了它们的优缺点。通过对不同ViT模型在相同公用数据集上进行模型性能比较,以验证它们在FGIC任务上的有效性。最后指出了目前研究的不足,并提出未来研究方向,以进一步探索ViT在FGIC中的潜力。

Boreal Winter Rainfall Anomaly over the Tropical Indo-Pacific and Its Effect on Northern Hemisphere Atmospheric Circulation in CMIP5 Models

Experimental outputs of 11 Atmospheric Model Intercomparison Project （AMIP） models from phase 5 of the Coupled Model Intercomparison Project （CMIP5） are analyzed to assess the atmospheric circulation anomaly over Northern Hemisphere induced by the anomalous rainfall over tropical Pacific and Indian Ocean during boreal winter.The analysis shows that the main features of the interannual variation of tropical rainfall anomalies,especially over the Central Pacific （CP） （5°S-5°N,175°E-135°W） and Indo-western Pacific （IWP） （20°S-20°N,110°-150°E） are well captured in all the CMIP5/AMIP models.For the IWP and western Indian Ocean （WIO） （10°S-10°N,45°-75°E）,the anomalous rainfall is weaker in the 11 CMIP5/AMIP models than in the observation.During El Ni（n）o/La Ni（n）a mature phases in boreal winter,consistent with observations,there are geopotential height anomalies known as the Pacific North American （PNA） pattern and Indo-western Pacific and East Asia （IWPEA） pattern in the upper troposphere,and the northwestern Pacific anticyclone （cyclone） （NWPA） in the lower troposphere in the models.Comparison between the models and observations shows that the ability to simulate the PNA and NWPA pattern depends on the ability to simulate the anomalous rainfall over the CP,while the ability to simulate the IWPEA pattern is related to the ability to simulate the rainfall anomaly in the IWP and WIO,as the SST anomaly is same in AMIP experiments.It is found that the tropical rainfall anomaly is important in modeling the impact of the tropical Indo-Pacific Ocean on the extratropical atmospheric circulation anomaly.

基于Vision Transformer的小麦病害图像识别算法

小麦白粉病、赤霉病和锈病是危害小麦产量的三大病害。为提高小麦病害图像的识别准确率,构建一种基于Vision Transformer的小麦病害图像识别算法。首先,通过田间拍摄的方式收集包含小麦白粉病、赤霉病和锈病3种病害在内的小麦病害图像,并对原始图像进行预处理,建立小麦病害图像识别数据集;然后,基于改进的Vision Transformer构建小麦病害图像识别算法,分析不同迁移学习方式和数据增强对模型识别效果的影响。试验可知,全参数迁移学习和数据增强能明显提高Vision Transformer模型的收敛速度和识别精度。最后,在相同时间条件下,对比Vision Transformer、AlexNet和VGG16算法在相同数据集上的表现。试验结果表明,Vision Transformer模型对3种小麦病害图像的平均识别准确率为96.81%,相较于AlexNet和VGG16模型识别准确率分别提高6.68%和4.94%。

Japan-UK Security Cooperation in the Context of the Convergence of the Indo-Pacific Strategy and Global Britain

Japan-UK security cooperation has been deepening as the Indo-Pacific Strategy has converged with Global Britain,which has become strongly Indo-Pacific-oriented.In terms of their cooperation on security,the two countries have close security interactions,high-level security consultations,numerous mechanisms on security cooperation,frequent defense cooperation and exchanges between forces,and cooperation geared at a response to the Korean nuclear issue.In particular,Japan and the UK regard Indo-Pacific security as the strategic focus of their cooperation,and this underscores the rules-based international order.There are multiple motivations for Japan and the UK to strengthen their security cooperation,and the deepening of their security cooperation in the Indo-Pacific region is to a great extent due to strategic factors,including responding to the US strategic adjustment,Japan and Britain’s respective proactive strategic demands,the improving strategic positions of the Indopacific region,their seeking to shape the regional order in the Indo-Pacific,and so on.Despite facing challenges,Japan-UK security cooperation is continuously strengthening against a background of deepening strategic convergence between the two countries and great power competition.

A HOMOGENEOUS MODEL OF UPPER LAYER CIRCULATION IN INDO-PACIFIC REGION

A homogeneous model is proposed to study the upper layer circulation in the Indo-Pacific region,the sources of the Indonesian throughflow (TF) and the North Equatorial Countercurrent (NECC), and the relations of the the with the North Equatorial Current (NEC) and the South Equatorial Current (SEC). The results revealed that the upper layer circulaton, as part of the Pacific Ocean general circulation, is mainly controlled by geostrophic balance; that the NECC’s volume transport is mainly sup plied by the NEC, and its variation has closer relation to the NEC than the SEC; that the TF, whose volume transport is jointly supplied by the NEC through the Mindanao Current (MC) and the SEC, with the NEC being the first source, has significant influence on the circulation structure; and that a large Celebes Sea cyclonic circulation not mentioned elsewhere so far, exists in the calculated results.

基于Vision Transformer与迁移学习的裤装廓形识别与分类

针对裤装廓形识别与分类模型的分类不准确问题,文章采用带有自注意力机制的Vision Transformer模型实现裤装廓形图像的分类,对于图片背景等无关信息对廓形识别的干扰,添加自注意力机制,增强有用特征通道。为防止因裤型样本数据集较少产生过拟合问题,可通过迁移学习方法对阔腿裤、喇叭裤、紧身裤、哈伦裤4种裤装廓形进行训练和验证,将改进的Vision Transformer模型与传统CNN模型进行对比实验,验证模型效果。实验结果表明:使用Vision Transformer模型在4种裤装廓形分类上的分类准确率达到97.72%,与ResNet-50和MobileNetV2模型相比均有提升,可为服装廓形的图像分类识别提供有力支撑,在实际服装领域中有较高的使用价值。

Artificial hawk-eye camera for foveated, tetrachromatic, and dynamic vision

With the rapid development of drones and autonomous vehicles, miniaturized and lightweight vision sensors that can track targets are of great interests. Limited by the flat structure, conventional image sensors apply a large number of lenses to achieve corresponding functions, increasing the overall volume and weight of the system.

Upper Ocean Hydrology in the Indo-Pacific Warm Pool During the Late Holocene,Early Holocene and Last Glacial Maximum

We examined sediment samples from twenty-four stations in the Indo-Pacific warm pool(IPWP)region. Our objective is to provide a better understanding of changes in the IPWP and related tropical climatic phenomena such as East Asian-Australian monsoon and El Ni(?)o-Southern Oscillation(ENSO),through improving spatial coverage of proxy records.In order

Collaborative positioning for swarms:A brief survey of vision,LiDAR and wireless sensors based methods

As positioning sensors,edge computation power,and communication technologies continue to develop,a moving agent can now sense its surroundings and communicate with other agents.By receiving spatial information from both its environment and other agents,an agent can use various methods and sensor types to localize itself.With its high flexibility and robustness,collaborative positioning has become a widely used method in both military and civilian applications.This paper introduces the basic fundamental concepts and applications of collaborative positioning,and reviews recent progress in the field based on camera,LiDAR(Light Detection and Ranging),wireless sensor,and their integration.The paper compares the current methods with respect to their sensor type,summarizes their main paradigms,and analyzes their evaluation experiments.Finally,the paper discusses the main challenges and open issues that require further research.

India＇ s Advance East Strategy and Its Indo-Pacific Diplomacy

India's eastward advancement began in the early 1990s. It was then called the"Look East"policy, and was later upgraded in name to the"Act East"policy in 2014. Over the past 25 years, India's"Advance East"strategy has continued to expand, undergoing a compound evolution and upgrade from economy to security, from bilateral to multilateral, from the ASEAN region to East Asia and further onto the Asia-Pacific region,which has been reflected in the rise in India's national strength and regional influence, more and more become an important pillar in India's diplomatic strategy. Nonetheless, the traditional development trends of India's eastward advancement are being affected by the newly emerging Indo-Pacific diplomacy strategies and achievements. India's Indo-Pacific diplomacy was born out of its Advance East strategy, though not limited to advancement east; the core demand of India has always been to merge into the Asia-Pacific region. In other words, India's Advance East strategy is an important pivot for its Indo-Pacific diplomacy. The reliance of India's Indo-Pacific diplomacy on major power diplomacy has impacted the core position of ASEAN in its Advance East strategy, while the element of containing China in India's Indo-Pacific diplomacy will dilute its intention to cooperate with China. This is also manifested in its Advance East strategy.

Anthropogenic footprints are invading global habitats of Indo-Pacific humpback dolphins

As ecologically fragile areas,coastal zones are affected by both anthropogenic activities and climate change.However,the impacts of these factors on large nearshore mammals,such as Indo-Pacific humpback dolphins(IPHDs,Sousa chinensis),are poorly understood.Here,modeling revealed that the suitable habitats of IPHDs are affected mainly by the sea surface temperature(SST),and the habitat suitability decreases as the distance to the nearest coastline increases.In addition,anthropogenic activities involving demersal fishing,contamination and shipping have narrowed IPHD habitats and reduced the habitat suitability.We found that climate change will further narrow suitable habitats located farther than 7 km from coastlines and trigger habitat losses in the eastern Taiwan Strait by 2090-2100 under the Representative Concentration Pathway(RCP)8.5 scenario.The projected decreases in habitat suitability and area emphasize the urgency of establishing connected marine protected areas(MPAs)while considering climate change,intergovernmental cooperation,and public involvement.

基于Vision Transformer的阿尔茨海默病分类研究

为了有效地提升对阿尔茨海默病(AD)的磁共振成像(MRI)图像分类准确率,提出一种LC(Layer-Cut)-ViT方法。该方法通过引入Vision Transformer(ViT)的自注意力机制对MRI图像进行层切分,使模型能更好地理解图像的全局信息,同时突出切片间的特征关系。此外,通过配准、颅骨分离算法提取MRI图像的脑部组织部分,进一步提升模型的性能。实验结果显示,所提方法对阿尔茨海默病的MRI图像具有较好的分类能力。