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With the rapid development of localization techniques and the prevalence of mobile devices, massive amounts of trajectory data have been generated, playing essential roles in areas of user analytics, smart transportation, and public safety. Measuring trajectory similarity is one of the fundamental tasks in trajectory analytics. Although considerable research has been conducted on trajectory similarity, the majority of existing approaches measure the similarity between two trajectories by calculating the distance between aligned locations, leading to challenges related to uncertain trajectories (e.g., low and heterogeneous data sampling rates, as well as location noise). To address these challenges, we propose Contra, a convolution-based similarity measure designed specifically for uncertain trajectories. The main focus of Contra is to identify the similarity of trajectory shapes while disregarding the time/order relevance of each record within the trajectory. To this end, it leverages a series of convolution and pooling operations to extract high-level geo-information from trajectories, and subsequently compares their similarities based on these extracted features. Moreover, we introduce efficient trajectory index strategies to enhance the computational efficiency of our proposed measure. We conduct comprehensive experiments on two trajectory datasets to evaluate the performance of our proposed approach. The experiments on both datasets show the effectiveness and efficiency of our approach. Specifically, the mean rank of Contra is 3 times better than the state-of-the-art approaches, and the precision of Contra surpasses baseline approaches by 20–40%.

Rural complex is a new type of rural revitalization and development model, and fully mastering the concept and connotation of this model is of great significance to the construction of rural complex in our country. This paper makes an all-round research and discussion on the basic situation, development advantages, model characteristics and existing problems of the rural complex development model of Baixianggu in Jing'an County, and puts forward the corresponding optimization path in view of the existing problems of Baixianggu project, in order to provide scientific and objective reference basis for the construction of national rural complex.

From the reform and opening-up policy until now, targeted poverty alleviation in rural areas has always been regarded as a major and arduous task in China, and it strives to achieve the goal of national poverty alleviation by 2020. To firmly win the strong war of overcoming poverty and realize new leap of targeted poverty alleviation in rural areas, Qianshan Village, Ganlu Town, Gongqingcheng City of Jiangxi Province establishes party building projects with rural characteristics by surrounding action of \"overcoming poverty and attacking strong poverty\" and taking \"party building + county sage or worthy\" as link. It uses county sage or worthy to drive development of rural industry, and establishes a complete poverty alleviation mechanism, thereby making poor households get rid of poverty, become rich, and embark on the road of well-off society. In this paper, opportunities and challenges in targeted poverty alleviation work of Qianshan Village are analyzed, and corresponding countermeasures and suggestions are proposed.

The absence of tactile perception limits the dexterity of a prosthetic hand and its acceptance by amputees. Recreating the sensing properties of the skin using a flexible tactile sensor could have profound implications for prosthetics, whereas existing tactile sensors often have limited functionality with cross‐interference. In this study, we propose a machine‐learning‐assisted multifunctional tactile sensor for smart prosthetics, providing a human‐like tactile sensing approach for amputations. This flexible sensor is based on a poly(3,4‐ethylenedioxythiophene): poly(styrene sulfonate) (PEDOT:PSS)–melamine sponge, which enables the detection of force and temperature with low cross‐coupling owing to two separate sensing mechanisms: the open‐circuit voltage of the sensor as a force‐insensitive intrinsic variable to measure the absolute temperature and the resistance as a temperature‐insensitive extrinsic variable to measure force. Furthermore, by analyzing the unsteady heat conduction and characterizing it using real‐time thermal imaging, we demonstrated that the process of open‐circuit voltage variation resulting from the unsteady heat conduction is closely correlated with the heat‐conducting capabilities of materials, which can be utilized to discriminate between substances. Assisted by the decision tree algorithm, the device is endowed with thermal conductivity sensing ability, which allows it to identify 10 types of substances with an accuracy of 94.7%. Furthermore, an individual wearing an advanced myoelectric prosthesis equipped with the above sensor can sense pressure, temperature, and recognize different materials. We demonstrated that our multifunctional tactile sensor provides a new strategy to help amputees feel force, temperature and identify the material of objects without the aid of vision. image

As a result of their tendency to enter various ecosystems, bioavailable heavy metals (HMs) have become major human public health concerns. The diverse characteristics and variations in the bioavailable forms of various HMs can cause a range of specific health risks. To verify this, sources of HMs in the sediments of the Yixun river basin were identified, with a focus on studying the aggregation and risks of HMs in various speciation forms. The results showed that the HMs in the sediments were, in order of concentration: Ti > Mn > Zn > Ni > Cu > Pb. The major sources of pollution in the sediments were mining (39.86%), industrial activities (18.24%), and agricultural activities (12.32%). For adults and children, the non-carcinogenic hazard indexes were 0.37 and 1.88, respectively—thus indicating significant non-carcinogenic health impacts on children. These impacts were mainly attributed to the enrichment of Pb bound to Fe–Mn oxides in sediments from agricultural pollution, leading to a hazard quotient of > 1 for children through dermal exposure pathways. Given that industrial pollution contributed the most to the total carcinogenic risk index value, the carcinogenic risks for both adults and children were relatively significant. However, although mining represents the primary source of HMs in river sediments, it is not the main source of health risks in the Yixun river basin, owing to the low bioavailability of the HMs forms in the region. This study confirmed that mining activities can lead to HMs enrichment in river basin sediments, but that the health risks arising from agricultural and industrial sources also merit enhanced monitoring.

Charge neutrality and their expected itinerant nature makes excitons potential transmitters of information. However, exciton mobility remains inaccessible to traditional optical experiments that only create and detect excitons with negligible momentum. Here, using angle-resolved photoemission spectroscopy, we detect dispersing excitons in the quasi-one-dimensional metallic trichalcogenide, TaSe 3 . The low density of conduction electrons and the low dimensionality in TaSe 3 combined with a polaronic renormalization of the conduction band and the poorly screened interaction between these polarons and photo-induced valence holes leads to various excitonic bound states that we interpret as intrachain and interchain excitons, and possibly trions. The thresholds for the formation of a photo-hole together with an exciton appear as side valence bands with dispersions nearly parallel to the main valence band, but shifted to lower excitation energies. The energy separation between side and main valence bands can be controlled by surface doping, enabling the tuning of certain exciton properties. Mobile excitons in metals have been elusive, as screening usually suppresses their formation. Here, the authors demonstrate such mobile bound states in quasi-one-dimensional metallic TaSe 3 , taking advantage of its low dimensionality and carrier density.

Cognitive dysfunction following anesthesia with agents such as sevoflurane is a significant clinical problem, particularly in elderly patients. This study aimed to explore the protective effects of the phytochemical syringaresinol (SYR) against sevoflurane-induced cognitive deficits in aged Sprague-Dawley rats and to determine the underlying mechanisms involved. We assessed the impact of SYR on sevoflurane-induced cognitive impairment, glial activation, and neuronal apoptosis through behavioral tests (Morris water maze), immunofluorescence, Western blotting for key proteins involved in apoptosis and inflammation, and enzyme-linked immunosorbent assays for interleukin-1β, tumor necrosis factor-α, and interleukin-6. SYR treatment mitigated sevoflurane-induced cognitive decline, reduced microglial and astrocyte activation (decreased Iba-1 and GFAP expression), and countered neuronal apoptosis (reduced Bax, cleaved-caspase3, and cleaved-PARP expression). SYR also enhanced Sirtuin-1 (SIRT1) expression and reduced p-Tau phosphorylation; these effects were reversed by the SIRT1 inhibitor EX527. SYR exerts neuroprotective effects on sevoflurane-induced cognitive dysfunction by modulating glial activity, apoptotic signaling, and Tau phosphorylation through the SIRT1 pathway. These findings could inform clinical strategies to safeguard cognitive function in patients undergoing anesthesia.

Aurora is caused by the collision of high-energy particles with particles in the Earth’s atmosphere. Recent advances in synthetic aperture radar (SAR) have demonstrated significant potential for ionospheric inversion at various scales, offering new insights into auroral processes. In this study, we present the first reported perturbation of C-band SAR signals induced by auroral activity during the enormous geomagnetic storm of 11 May 2024. The auroral boundaries observed by the Special Sensor Ultraviolet Spectrographic Imager (SSUSI) align closely with Sentinel-1 interferograms, despite the event occurring at mid-latitudes. A novel application of Sentinel-1 is illustrated, namely the inversion of the two-dimensional morphology and boundaries of the aurora at very high resolution and without interference from severe weather. Sentinel-1 promises to become a new method for the detection of precipitation particles, despite operating in the C-band, which is less disturbed by the ionosphere. Interferograms can also capture small-scale sporadic plasma patches associated with aurora. Furthermore, the analysis indicates that distinct polarization channels exhibit varying sensitivity towards auroral boundaries, with cross-polarization displaying heightened responsiveness.