Haoran Liang

Xi'an Jiaotong University | XJTU

Purpose Somatostatin receptor (SSTR) antagonists have recently emerged as preferable radiotracers for SSTR-targeted imaging and therapy. This study aimed to design a novel SSTR antagonist, [¹⁸F]AlF-NOTA-Asp2-PEG2-JR11, and compare its preclinical performance with the previously reported antagonist, [¹⁸F]AlF-NOTA-JR11, and the agonist [⁶⁸Ga]Ga-DOTA-...

A plethora of text-guided image editing methods has recently been developed by leveraging the impressive capabilities of large-scale diffusion-based generative models especially Stable Diffusion. Despite the success of diffusion models in producing high-quality images, their application to small object generation has been limited due to difficultie...

Previous video summarization methods often neglected inter‐frame variations during the preprocessing stage. Sampling repeated frames can lead to information redundancy, while missing key frames can result in deviations in semantic comprehension and inaccuracies in the generated summaries. This work proposes a dynamic sampling module that leverages...

Recently, the folate receptor (FR) has become an exciting target for the diagnosis of FR‐positive malignancies. Nevertheless, suboptimal in vivo pharmacokinetic properties, particularly high uptake in the renal and hepatobiliary systems, are important limiting factors for the clinical translation of most FR‐based radiotracers. In this study, we dev...

For the harsh entry environment and higher thermal protection requirements, two structures of three‐dimensional woven gradient thermal protection materials were designed and prepared with the deep space exploration thermal protection system as the object. They are 3D orthogonal woven, 2.5D layer‐to‐layer angle interlock woven, 2.5D layer‐layer angl...

A novel 18F-labeled radiotracer ([18F]AlF-NOTA-Glc-Folate) modified with a hydrophilic linker (-Glc-) was developed for PET imaging of folate-receptor-positive tumors. [18F]AlF-NOTA-Glc-Folate was manually synthesized within 30 min with high radiochemical yield and radiochemical purity. Cellular studies exhibited that [18F]AlF-NOTA-Glc-Folate had a...

In this paper, we delve into a new task known as small object editing (SOE), which focuses on text-based image inpainting within a constrained, small-sized area. Despite the remarkable success have been achieved by current image inpainting approaches, their application to the SOE task generally results in failure cases such as Object Missing, Text-...

Unlike high-rank coalbed gas (CBG), which is dominated by thermogenic gas with relatively single components, the low to medium rank CBG has complex components (N 2 and CO 2 rich CBG blocks are frequently found) and diverse sources (a mixture of thermogenic and biogenic gas, or even dominated by biogenic gas), and the enrichment model of CBG reservo...

In the realm of video salient object detection (VSOD), the majority of research has traditionally been centered on third‐person perspective videos. However, this focus overlooks the unique requirements of certain first‐person tasks, such as autonomous driving or robot vision. To bridge this gap, a novel dataset and a camera‐based VSOD model, CaMSD,...

This study conducts two-dimensional numerical simulations of the flow over four square cylinders arranged side by side at a low Reynolds number (Re) of 100. The investigation primarily centers on the influence of the gap to a square cylinder width ratio (g*) on the flow. The range of g* spans from 0.1 to 7.0. Within this parameter range, three dist...

Strong turbulence is generated by the blending of opposed staggered jets (OSJs). This turbulence results in fluid mixing and energy dissipation, which are crucial for pollutant dilution and the filling of navigation lock chambers. A renormalization group k-ε turbulence model is adopted to conduct three-dimensional simulations of OSJs at various sta...

Previous methods based on 3DCNN, convLSTM, or optical flow have achieved great success in video salient object detection (VSOD). However, these methods still suffer from high computational costs or poor quality of the generated saliency maps. To address this, we design a space-time memory (STM)-based network that employs a standard encoder–decoder...

Fully supervised video salient object detection (VSOD) has made considerable breakthroughs using costly and time-consuming pixel-wise annotations. Recently, to achieve a trade-off between the annotation burden and the model performance, scribble-based VSOD tasks have attracted increasing attention. However, learning the complete object structure an...

VCOD (Video Camouflage Object Detection) is a crucial security technology that identifies camouflaged objects in videos, bolstering security measures across diverse applications. On one hand, appearance-based VCOD methods face challenges because camouflaged appearances cause objects to blend into their surroundings, and current VCOD methods typical...

In the impinging region of opposing jets, strong mixing and significant energy dissipation are observed, but the mixing parameters invariably change with the opposed impinging strength (OIS). In this paper, the ratio of the turbulent kinetic energy (TKE) intensity at the theoretical impinging point to the nozzle exit is defined as the opposed impin...

The source of oil and gas and the stages of oil and gas accumulation in the “double-Paleo” field of the HZ-A structure in the Pearl River Mouth Basin are analyzed, and the spatiotemporal coupling relationship of the key conditions of oil and gas accumulation are discussed to reconstruct the process of oil and gas accumulation. Based on previous res...

A dual‐scale ablation model was developed to address the lack of research on the influence of weaving parameters of gradient 3D woven composites on the ablation performance. It consists of a mesoscale heat transfer model and a macroscale ablation model, and they are effectively connected by parametric conduction. By comparing with experimental resu...

Scribble labels have gained increasing attention in the field of weakly supervised video salient object detection (VSOD). Based on scribble labels, latest methods can spread labeled pixels to unlabeled regions using local coherence loss, but predicted objects often lose detail and boundary information. In this work, a novel method based on back‐for...

Surface emissivity is an essential parameter for thermal radiation, which greatly influences thermal protection materials (TPMs) under high temperature. In the present study, dual‐scale models of 2.5D woven carbon fiber fabric reinforced resin‐based composites are built with different weaving parameters of fabric, to investigate the meso‐structure...

Fully supervised salient object detection (SOD) methods have made considerable progress in performance, yet these models rely heavily on expensive pixel-wise labels. Recently, to achieve a trade-off between labeling burden and performance, scribble-based SOD methods have attracted increasing attention. Previous models directly implement the SOD tas...

A new rotationally hindered diphosphoramidite ligand has been applied to Rh-catalyzed hydroformylation of various olefins. Good activity as well as excellent regioselectivity toward the formation of linear aldehyde were achieved....

Myocarditis is classified as an inflammatory disease of the heart muscle which is a leading cause of sudden death. The Keap1-Nrf2 -ARE pathway, a primary defense mechanism of antioxidant stress,...

Fully supervised salient object detection (SOD) methods have made considerable progress in performance, yet these models rely heavily on expensive pixel-wise labels. Recently, to achieve a trade-off between labeling burden and performance, scribble-based SOD methods have attracted increasing attention. Previous scribble-based models directly implem...

Fully supervised salient object detection (SOD) has made considerable progress based on expensive and time-consuming data with pixel-wise annotations. Recently, to relieve the labeling burden while maintaining performance, some scribble-based SOD methods have been proposed. However, learning precise boundary details from scribble annotations that l...

3-D imaging sonar is crucial in the exploration of marine resources, and the development of portable device with high-imaging quality and high-real-time performance is the general trend. However, traditional framework methods are limited by the huge amount of computation brought by high-quality imaging, making it difficult to implement in engineeri...

Fully supervised salient object detection (SOD) has made considerable progress based on expensive and time-consuming data with pixel-wise annotations. Recently, to relieve the labeling burden while maintaining performance, some scribble-based SOD methods have been proposed. However, learning precise boundary details from scribble annotations that l...

The comprehensive profiling of glycoproteins is of great significance for the timely clinical diagnosis and therapy. However, inherent obstacles hamper their direct analysis from biological samples, and specific enrichment prior to analysis is indispensable. Among the various approaches for glycopeptide enrichment, hydrophilic interaction liquid ch...

Multilevel feature fusion plays a pivotal role in salient object detection (SOD). High-level features present rich semantic information but lack object position information, whereas low-level features contain object position information but are mixed with noises such as backgrounds. Appropriately addressing the gap between low-and high-level featur...

Background Femoral neck fractures are a common traumatic injury. The removal of the internal fixation remains controversial, especially in terms of mechanical stability. Moreover, collapsed necrosis of the femoral head continues to occur after fracture healing. We believe that sclerotic cancellous bone (SCB) formation around the screw is associated...

Previous methods based on 3DCNN, convLSTM, or optical flow have achieved great success in video salient object detection (VSOD). However, they still suffer from high computational costs or poor quality of the generated saliency maps. To solve these problems, we design a space-time memory (STM)-based network, which extracts useful temporal informati...

3D-QSAR models were established by collecting 46 multivariate-substituted 4-oxyquinazoline HDAC6 inhibitors. The relationship of molecular structure and inhibitory activity was studied by comparative molecular field analysis (CoMFA) and comparative molecular similarity index analysis (CoMSIA). The results showed the models established by CoMFA (q²...

Objective: To analyze necrotic femoral head after long-term internal fixation for femoral neck fractures using micro-computed tomography (CT) for bone histomorphometry. Methods: The experimental group included six patients (two men and four women; mean age 62.00 ± 9.36 years) who underwent hip arthroplasty at 47.67 ± 14.22 months after internal...

Recent deep learning-based video salient object detection (VSOD) has achieved some breakthrough, but these methods rely on expensive annotated videos with pixel-wise annotations, weak annotations, or part of the pixel-wise annotations. In this paper, based on the similarities and the differences between VSOD and image salient object detection (SOD)...

Many image‐to‐image computer vision approaches have made great progress by an end‐to‐end framework with the encoder–decoder architecture. However, the same image‐to‐image eye fixation prediction task is not the same as those computer vision tasks in that it focuses more on salient regions rather than precise predictions for every pixel. Thus, it is...

Resin-based 2.5D angle interlock woven composites are selected as the thermal protection materials used in thermal protection system (TPS) of hypersonic spacecrafts in entry missions in recent years. The accurate prediction of the effective thermal conductivity of these materials in their carbonization state is critical for evaluating their thermal...

With the rapid development of mobile Internet, the popularity of video capture devices has brought a surge in multimedia video resources. Utilizing machine learning methods combined with well-designed features, we could automatically obtain video summarization to relax video resource consumption and retrieval issues. However, there always exists a...

Salient object location and segmentation are two different tasks in salient object detection (SOD). The former aims to globally find the most attractive objects in an image, whereas the latter can be achieved only using local regions that contain salient objects. However, previous methods mainly accomplish the two tasks simultaneously in a simple e...

A partial nitrification sequencing batch reactor was operated to reveal mechanisms behind nitrite oxidation bacteria (NOB) acclimatization in high-ammonia wastewater treatment. The influent NH4⁺-N increased stepwise from 499.7±4.2 mg/L to 6994.5±7.5 mg/L with initial free ammonia (FA) concentration rising from 37.9±3.2 mg NH3-N/L to 715.3±47.3 mg N...

A novel combined partial nitrification-Anammox and partial denitrification-Anammox (PnA/PdA) single sequencing batch biofilm reactor (SBBR) was established to realize efficient and advanced nitrogen removal from mature landfill leachate with low biodegradability. Nitrogen removal rate and nitrogen removal efficiency were increased to 2.83 ± 0.06 kg...

Fault acts as an important vertical migration conduit for hydrocarbons in rift basins and can transport hydrocarbons from deep-buried organic-rich sediments to shallow-buried coarse-grained sequences. Such migration process is expected, but generally needs to pass through thick mudstone intervals and its controlling factors are not well understood....

The Internet of Multimedia Things (IoMT) has become the backbone of innumerable multimedia applications in various fields. The wide application of IoMT not only makes our life convenient but also brings challenges to service discovery. Service discovery aims to leverage location information and trust evidence scattered in a variety of multimedia ap...

Clustering has many applications in data mining and machine learning. Fuzzy clustering methods have been widely used in clustering. However, fuzzy clustering methods still have a fatal problem: the cluster radius sensitivity problem. The cluster radius sensitivity problem means that clusters with smaller radius will predominate in clustering and ob...

Video summarisation greatly improves the efficiency of people browsing videos and saves storage space. A good video summary should satisfy human visual interestingness and preserve the theme of the original video at the semantic level. Unlike many existing methods that consider only visual features to generate video summaries, this study proposes a...

In industrial automation, numerous devices are interconnected in smart factories for further monitor and control. Various infrastructure devices in industrial automation are usually used for control instruction distribution, data collection, and collaboration of the industrial applications. Recent security threats on industrial automation are more...

The structure of a scene provides global contextual information in directing gaze and complements local object information in saliency prediction. In this study, we explore how visual attention can be affected by scene structures, namely openness, depth and perspective. We first build an eye tracking dataset with 2500 natural scene images and colle...

A porous composite of 3-dimensional (3D) reduced graphene oxide (rGO) and silica dioxide nanoparticles (PrGO-SN) was synthesized via a single-step hydrothermal process, which can initiate facile ice nucleation and growth starting from temperature as high as - 8 oC and 5 – 8 % RH supersaturation and sustain rapid ice crystal growth. The excellent ic...

Laizhou Bay Sag in the south of Bohai Bay Basin is a petroliferous province and hot study area for oil explorers and geologists. Oil-source correlation is of great importance in the study of the petroleum system, for it contributes to the selection of favorable exploration sites. Previously, much attention has been paid to the study of the third me...

Vehicle-to-everything (V2X) aims to make transportation system more intelligent through linking everything with the moving vehicles, but it brings geographical dynamic intrusions. However, existing intrusion detection systems (IDSs) of vehicles just deploy the preset statics strategies. As a novel security technology, blockchain can realize decentr...

This study numerically investigates precipitation enhancement from cumuliform clouds in three different climate regions: (1) Arid climate of the United Arab Emirates (UAE); (2) maritime climate of Thailand; and (3) continental climate of Serbia. Recently developed core/shell sodium chloride (NaCl)/titanium dioxide (TiO2) nanostructure (CSNT) aeroso...

Nowadays, benefit from more powerful edge computing devices, edge artificial intelligence (edge-AI) could be introduced into Internet of Things (IoT) to find knowledge derived from massive sensory data, such as cyber results or models of classification, detection and prediction from physical environments. Heterogeneous edge-AI devices in IoT will g...

Systematic microscopic observation and analysis reveal multi-stage mineral fillings and fluid charging in the Sinian (Ediacaran) Dengying and the Cambrian Longwangmiao Formation in the Gaoshiti-Moxi structure, Central Sichuan Basin. Reservoir pore space is filled with five different stages of minerals from the edge to the center: fine crystalline d...

When looking at an image, humans shift their attention toward interesting regions, making sequences of eye fixations. When describing an image, they also come up with simple sentences that highlight the key elements in the scene. What is the correlation between where people look and what they describe in an image? To investigate this problem intuit...

A quantum representation model for multiple images is firstly proposed, which could save more storage space than the existing quantum image representation models and allow quantum hardware to encrypt an arbitrary number of images simultaneously. Moreover, the definition and the quantum circuit of quantum 3D Arnold transform are given based on the p...

Severe droughts are increasingly frequent around the world, in particular in the desert area. There is a shortage of water that can be partly avoided by the implementation of precipitation enhancement projects. The concept implies cloud seeding with appropriate artificially produced aerosols. The main lack of that methodology is a scientific basis...

Cloud-seeding materials as a promising water-augmentation technology have drawn more attention recently. We designed and synthesized a novel type of core/shell NaCl/TiO2 (CSNT) particles with controlled particle size, which successfully adsorbed more water vapor (～ 295 times at low relative humidity, 20 % RH) than that of pure NaCl, deliquesced at...