A practical problem in supervised deep learning for medical image segmentation is the lack of labeled data which expensive and time-consuming to acquire. In contrast, there a considerable amount unlabeled available clinic. To make better use improve generalization on limited data, this paper, novel semi-supervised method via multi-task curriculum presented. Here, means that when training network, simpler knowledge preferentially learned assist more difficult knowledge. Concretely, our...

Interfaces are essential for solar cell performance since they govern charge separation and transport. Using quantum dynamics simulation, we demonstrate that at interfaces, common defects benign on their own, iodine vacancy in CH3NH3PbI3 (VI) oxygen TiO2 (VO), responsible synergistically poor stability losses. VO promotes VI diffusion accelerates migration. A midgap trap state appears, inhibiting transport accelerating recombination by an order of magnitude. Strong structural distortions...

The attention mechanism has significantly progressed in various point cloud tasks. Benefiting from its significant competence capturing long-range dependencies, research completion achieved promising results. However, the typically disordered data features complicated non-Euclidean geometric structures and exhibits unpredictable behavior. Most current modules are based on Euclidean or local geometry, which fails to accurately represent intrinsic characteristics of data. Thus, we propose a...

The presence of bike-sharing has a significant influence on the ease trips by bike, which is one critical aspect bicycling accessibility (BAcc). existing measurements BAcc rarely consider factor ownership bikes, means that no distinction made between private-bikes and shared bikes. To measure more fully, this paper proposes method to evaluate influences perform real-world case study in Beijing. It found boosting effect BAcc, increased rate significantly affected frequency shared-bike...

As an important part of rural space, the public space landscape has a positive influence on tourists and local residents, also guiding significance for sustainable development areas. This study expands previous research taking “user-oriented” preference as entry point, Beijing object, using eye-tracking technology to objectively reflect degree users’ landscape, making quantitative analysis through objective data subjective satisfaction evaluation explore subconscious aesthetic laws subjects,...

Climate plays a significant role in shaping ecosystem-level carbon sinks. Research on the mechanisms of climate impacts sinks can contribute to achievement neutrality. Investigating by which impact ecological spaces Beijing–Tianjin–Hebei region, one most important urban clusters China, is great significance. This study employed spatial autocorrelation and econometric models explore how various climatic factors net primary productivity (which used represent sink capacity) scale. We found an...

In this study, the purification and characterization of an extracellular enzyme form Aspergillus niger was performed. With optimized protocol, it conducted a 42.6-fold with yield 26.2%. The purified lipase had monomeric molecular weight 40.5kDa isoelectric point 6.01, its maximum activity could be achieved at 40°C pH 7.5-9.0. activated by Ca2+, Mg2+ Fe2+, while inhibited Zn2+ Cu2+. Additionally, organic compounds exerted inhibitory effect on in descending order methanol, ethanol, DMSO, EDTA,...

Rapid urbanization has made mountain development an important means to alleviate the shortages of construction land on plains, which significantly affected regional ecosystem services. In-depth research impact services under altitude gradients is great significance clarify relationship between two. Based data from 2000, 2010 and 2020, level study area were evaluated. The spatial correlation was analyzed by Moran’s I. A Durbin model (SDM) selected fit regression. results show that (1) 2000 in...

In the transition to fully automated driving, interaction between drivers and vehicles is crucial as drivers’ emotions directly influence their behavior, thereby impacting traffic safety. Currently, relying solely on a backbone based convolutional neural network (CNN) extract single RGB modal facial features makes it difficult capture enough semantic information. To address this issue, paper proposes Dual-branch Multimodal Fusion Network (DMFNet). DMFNet extracts from visible–infrared...

Urban agglomerations have become the new spatial unit of global economic competition. The intense socioeconomic activities attributed to development urban are bound cause damage ecosystem services these agglomerations. This study adopts Beijing-Tianjin-Hebei agglomeration in China as research object, analyzes spatiotemporal evolution its critical service capacity address regional ++-development risks from 2000–2018, and employs Moran’s I geographically weighted regression model explore...

The lack of annotated data is a common problem in medical image segmentation tasks. In this paper, we present novel multi-task semi-supervised algorithm with curriculum-style learning strategy. proposed method includes task and an auxiliary regression task. Concretely, the aims to learn image-level properties such as size centroid position target region regularize network, enforcing pixel-level result match distributions these regressions. addition, regressions are treated pseudo labels for...

Trajectory planning is of great value and yet challenging for multirotor unmanned aerial vehicle (UAV) applications in a complex urban environment, mainly due to the complexities handling cluttered obstacles. The problem further complicates itself context autonomous multi-UAV trajectory considering conflict avoidance future city applications. To tackle this problem, paper introduces cooperative (MCTP) proposes bilevel model problem. upper level modeled as an extended multiple traveling...

This paper proposes a lossless (m, n) secret sharing method based on Thien and Lin's method. First, image is scrambled by the toral automorphism technique to enhance security then shared into n shadow images proposed The can be reconstructed if subset m (1< les of are obtained. Experimental results show that feasible for image.

Purpose: The purpose of this study was to determine the effectiveness competitive Student Team Achievement Division (STAD), non-competitive STAD, and traditional learning on chemistry perceptions. Sample, design methods: By adopting STAD approach, examined 144 nursing students at a five-year junior college in northern Taiwan during first semester (totaling 18 weeks) 2008 academic year. Results: findings reveal that both heterogeneous group with external pressure (involving STAD) friendship...

Monitoring the temperature to determine fire source locations is essential for controlling spontaneous combustion in goaf. Optical fiber sensors are employed measure distribution However, due changes geological conditions and influence of falling rocks goaf, only on upper side uncompacted inclination coal pillar, may remain. Unilateral located while occurs center. To investigate issue with linear unilateral sensors, a two-dimensional inverse method has been developed location sources by...

Efficient operation of urban metro systems depends on accurate passenger flow predictions, a task complicated by intricate spatiotemporal correlations. This paper introduces novel graph neural network (STGNN) designed explicitly for predicting multistep within stations. In the spatial dimension, previous research primarily focuses local dependencies, struggling to capture implicit global information. We propose modeling module that leverages dynamic attention (DGAN) information from all-pair...

Trajectory prediction is a key component in the development of applications such as mixed urban traffic management and public safety. Traditional models have struggled with complexity modeling dynamic crowd interactions, intricacies spatiotemporal dependencies, environmental constraints. Addressing these challenges, this paper introduces innovative Social Attention Graph Neural Network (SA-GAT) framework. Utilizing Long Short-Term Memory (LSTM) networks, SA-GAT encodes pedestrian trajectory...