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Wireless sensor networks (WSNs) are deployed in terrestrial environments. However, on the sea surface, sensor nodes can drift due to ocean currents and wind; thus, network topologies continuously evolve, and the communication between nodes is frequently disrupted. These unstable connections significantly degrade data transmission stability and overall network performance. These problems are particularly significant in maritime regions where the sea state changes rapidly, thus imposing stringent technical requirements on the design of long-range, reliable, low-latency, and persistent sensing systems. This study proposes a wireless sensor network architecture for sea surface drifting nodes, which is termed Drift-Aware Routing and Clustering with Recovery (DARCR). The proposed system consists of three major components: (1) an enhanced dynamic drift model that more accurately predicts node movement for realistic ocean conditions; (2) a cluster-based framework that prevents disconnection and minimizes delay, which improves cluster stability and adaptability to dynamic environments through refined clustering and route setup mechanisms; and (3) a self-recovery routing strategy for re-establishing communication after disconnection. The proposed method is evaluated using ocean current data from the Copernicus Ocean Data Center simulating a 60-h drifting scenario around the central Taiwan Strait. The experimental results show that the average hourly disconnection rate is maintained at 6.2%, with a variance of 0.31%, and the transmission of newly sensed data is completed within 3 to 5 s, with a maximum delay of approximately 10 s. These findings demonstrate the feasibility of maintaining communication stability and low-latency data transmission for sea surface WSNs that operate in highly dynamic marine conditions.

BackgroundMalalignment is a common event during the intramedullary nailing (IMN) of distal tibia fractures (DTFs). Although it is reported that the semi-extended IMN techniques such as suprapatellar (SP) and parapatellar (PP) approaches may be superior in preventing malalignment, the application of these techniques is concerning owing to the intra-articular involvement. We thus developed an extra-articular semi-extended infrapatellar (SEIP) approach which utilizes the infrapatellar (IP) space while maintaining the knee in a semi-extended position. However, there are no studies on the safety and efficacy of SEIP in treating DTFs. Therefore, in this study, the SEIP technique was examined, particularly in terms of the potential alignment improvement of DTFs, and this technique was compared with the traditional hyperflexed infrapatellar (HFIP) procedure.Materials and methodsThis randomized clinical trial (RCT) compared IMN malalignment while correcting extraarticular and nondisplaced intra-articular DTFs between April 2018 and June 2021 using the HFIP and SEIP techniques at a level I trauma center in China. The study participants were clinically and radiographically examined for at least 12 months of follow-ups. Intraoperative fluoroscopy time, operation time, blood loss, hospitalization duration, functional ankle score, and complications were assessed as well.ResultsAmong the 88 recruited participants, 45 (51%) underwent traditional HFIP IMN and 43 (49%) underwent SEIP IMN. Malalignment occurred in 9 patients (20.0%) from the HFIP cohort and in 2 patients (4.7%) from the SEIP cohort (P value = 0.030). In addition, the SEIP IMN technique significantly reduced the intraoperative fluoroscopy time, operation time, and improved the postoperative ankle function compared to the HFIP IMN technique. However, the intraoperative blood loss, hospitalization duration, infection, delay union, and nonunion remained the same between the two cohorts.ConclusionsIn summary, we demonstrated that the SEIP IMN provides markedly enhanced alignment of extraarticular and nondisplaced intra-articular DTFs compared to the traditional HFIP IMN procedure. The described technique represents an effective option for IMN of DTFs.Level of evidenceLevel 2.Trial registration The Chinese Clinical Trial Registry, ChiCTR2100043673. Registered 26 February 2021, retrospectively registered, http://www.chictr.org.cn/showprojen.aspx?proj=122263

The crack initiation and life prediction of fiber-reinforced asphalt concrete (FRAC) surfacing for steel bridge decks under a cyclic vehicle load are analyzed from the perspective of damage mechanics. The damage field and the stress and strain field evolution rule of a composite beam in fatigue test are studied, and a fatigue failure criterion is proposed for steel deck FRAC surfacing. Bending fatigue tests are performed on composite beams composed of a steel deck and polyacrylonitrile (PAN)-fiber-reinforced Gussasphalt (GA), i.e., GA-PAN, concrete surfacing under different fiber content and temperature conditions. The damage evolution characteristics of GA-PAN concrete surfacing over the steel deck with different fiber lengths and volume ratios are predicted by analyzing the fatigue life equations. The results show that the steel bridge deck FRAC surfacing model can reflect the comprehensive influence of the fiber content and length on the fatigue performance of steel bridge AC. Specifically, a lower temperature results in the fiber more synergistically affecting the fatigue resistance of AC. Theoretically, the service performance of asphalt concrete increases with the increase of fiber length and content. The optimum fiber length and volume ratio of GA-PAN are found to be 9 mm and 0.46–0.48%, respectively, considering the construction workability.

IntroductionThis study aimed to compare the outcomes at the clinical and functional levels of suprapatellar (SP) and infrapatellar (IP) approaches for intramedullary nailing in treating tibial shaft fracture.MethodsPatients who underwent tibial shaft fracture intramedullary nailing by the SP approach or IP approach in a trauma center were retrospectively reviewed. The demographics, intraoperative fluoroscopy time, operation time, blood loss, irrigation volume, postoperative X-ray alignment, and complications of patients were compared between the two groups under different approaches. Lysholm knee score, visual analog score (VAS), and incidence of anterior knee pain (AKP) were assessed 1 year after surgery.ResultsThe study finally included well-documented 81 patients (38 SP versus 43 IP). The SP group exhibited significantly shorter intraoperative fluoroscopy time than that of the IP group (81.7 ± 14.5 s vs. 122.0 ± 24.3 s, P < 0.001). Both aspects recorded a precise reduction of the fracture: angulation (2.1 ± 1.2° vs 3.1 ± 1.5°, P < 0.05) and translation (0.6 ± 0.8 mm vs 1.4 ± 1.5 mm, P < 0.05) in the coronal plane in the SP group. However, the sagittal plane recorded no such change (P > 0.05). The Lysholm knee score was higher in the SP group than that of the IP group (87 ± 8 vs. 80 ± 15, P < 0.05). The SP group displayed an evidently lower average VAS score than that of the IP approach group (0.3 ± 0.8 vs 1.3 ± 1.4, P < 0.001). Six cases (16%) in the SP group and 16 cases (37%) in the IP group experienced AKP 1-year post-operation (P < 0.05). As far as complications are concerned, neither group showed any significant difference (P > 0.05).ConclusionCompared with the IP approach, the application of intramedullary nailing through the SP approach in treating tibial shaft fractures can effectively shorten the intraoperative fluoroscopy time, correct coronal plane angulation and translation deformity, reduce the incidence of AKP and improve postoperative function.

We propose a stochastic block-coordinate proximal Newton method for minimizing the sum of a blockwise Lipschitz-continuously differentiable function and a separable nonsmooth convex function. In each iteration, this method randomly selects a block and approximately solves a strongly convex regularized quadratic subproblem, utilizing second-order information from the smooth component of the objective function. A backtracking line search is employed to ensure the monotonicity of the objective value. We demonstrate that under certain sampling assumption, the fundamental convergence results of our proposed stochastic method are in accordance with the corresponding results for the inexact proximal Newton method. We study the convergence of the sequence of expected objective values and the convergence of the sequence of expected residual mapping norms under various sampling assumptions. Furthermore, we introduce a method that employs the unit step size in conjunction with the Lipschitz constant of the gradient of the smooth component to formulate the strongly convex regularized quadratic subproblem. In addition to establishing the global convergence rate, we also provide a local convergence analysis for this method under certain sampling assumption and the higher-order metric subregularity of the residual mapping. To the best knowledge of the authors, this is the first stochastic second-order algorithm with a superlinear local convergence rate for addressing nonconvex composite optimization problems. Finally, we conduct numerical experiments to demonstrate the effectiveness and convergence of the proposed algorithm.

During remote communication, participants often share both digital and physical content, such as product designs, digital assets, and environments, to enhance mutual understanding. Recent advances in augmented communication have facilitated users to swiftly create and share digital 2D copies of physical objects from video feeds into a shared space. However, conventional 2D representations of digital objects restricts users' ability to spatially reference items in a shared immersive environment. To address this, we propose Thing2Reality, an Extended Reality (XR) communication platform that enhances spontaneous discussions of both digital and physical items during remote sessions. With Thing2Reality, users can quickly materialize ideas or physical objects in immersive environments and share them as conditioned multiview renderings or 3D Gaussians. Thing2Reality enables users to interact with remote objects or discuss concepts in a collaborative manner. Our user study revealed that the ability to interact with and manipulate 3D representations of objects significantly enhances the efficiency of discussions, with the potential to augment discussion of 2D artifacts.