Supramolecular coordination complexes with solid-state stimuli-responsive characteristics are highly desirable but rarely reported. Herein, we describe two coordination-driven self-assembled monoanthracene or dianthracene-based hexagonal metallacycles by subtle structure modification. Notably, the dianthracene-containing hexagon 1 exhibits tricolor mechanochromic and vapochromic characteristics, while monoanthracene-containing 4 does not show obvious changes toward mechanical force. Further...

The development of supramolecular coordination complexes (SCCs) with a bright aggregate state or mechanical-stimuli-responsive luminescence is very significant and challenging. Herein, we report the synthesis three different platinum(II) metallacycles via coordination-driven self-assembly diplatinum(II) acceptor organic donors triphenylamine, carbazole, tetraphenylethylene moiety. triphenylamine-modified SCC exhibits aggregation-induced emission enhancement (AIEE) but no...

Discharge of antibiotic-containing wastewater causes environmental pollution and threatens biological human health. An efficient treatment method for this is urgently required. We prepared inorganic-organic hybrid MXene-pillararene nanosheets with a large lateral size (5-8 μm). The were stacked on supports via vacuum-assisted filtration to prepare membranes regular parallel slits an interlayer spacing 1.36 nm, which used purify water. Permeance through the membrane increased 100-fold...

Abstract Discharge of antibiotic‐containing wastewater causes environmental pollution and threatens biological human health. An efficient treatment method for this is urgently required. We prepared inorganic–organic hybrid MXene–pillararene nanosheets with a large lateral size (5–8 μm). The were stacked on supports via vacuum‐assisted filtration to prepare membranes regular parallel slits an interlayer spacing 1.36 nm, which used purify water. Permeance through the membrane increased...

The development of organic nanoparticles that fluoresce in the near-infrared, especially second near-infrared (NIR-II) window, improves vivo fluorescence imaging due to deeper penetration and higher spatiotemporal resolution. We report two kinds NIR-II fluorescent molecules with twisted intramolecular charge-transfer (TICT) aggregation-induced emission (AIE) characteristics. virus-like particles (VLPs) simian virus 40 (SV40) were used as templates encapsulate a well-defined structure...

Thousands of vulnerabilities are discovered in programs every day, which is extremely harmful to software security. Thus, discovering projects has become a central issue. Facing sustained growth complexity and large code size, manual auditing becomes time-consuming labor-intensive. With more open source available high degree formalization, it possible study features from guide vulnerability discovery work. In this paper, we present lightweight-assisted method using deep neural network...

Supramolecular coordination complexes (SCCs) have emerged as anticancer agents. Tracking the movement of these metallic agents plays an important role in field biomedicines. Herein, we describe a method for tracking rhomboidal Pt(II) metallacycle agent using quantum dots encapsidation vitro self-assembly system viral proteins. When incubated with living Vero cells, hybrid nanoparticles were employed simultaneous cell imaging and visual transmission agent. Considering results, believe that...

A critical challenge in automatic heap-based exploit generation is to find out whether an exploitable state can be constructed by manipulating the heap layout.This usually achieved re-arranging objects memory according orchestrated strategy that utilizes program's operations.However, hindered difficulty strategically coordinating use of operations given complexity program logic and allocation mechanisms, goal precise layout manipulation for general-purpose programs has not been...

A simple strategy was used to prepare functional two-dimensional materials via the combination of pillar[5]arene (P5) and MXene. The electrochemical results MXene-P5 exhibit high supramolecular recognition, enrichment capability, response toward dye molecules, which are probably due synergetic effects from conductivity, surface area, host-guest recognition. This study provides a promising sensing platform based on different kinds pillararenes.

Different from common anti-tumor drugs, organoplatinum(II) metallacycles can integrate imaging and other therapeutic capabilities by incorporating corresponding functional donor ligands to enable potential applications in biomedicine. However, most of the emerging agents not only show poor solubility selectivity but also have serious side effects unsatisfactory efficacy encounter tendency develop drug resistance due their single treatment model. Herein, an metallacycle (PtM) was designed...

Binary fault localization is important for vulnerability analysis, but many current techniques face problems in locating accurately and effectively, especially real-world programs. In this paper, we propose a novel gradient-guided method named DeepVL, which leverages deep neural networks to diagnose the root cause of weakness binaries provide guidance information further analysis. DeepVL collects sufficient amounts crashed execution traces normal as input constructed networks. Based on...

A highly sensitive electrochemical sensor for the detection of ascorbic acid (AA) was first fabricated using network-like carbon nanosheets (NCN) as an enhanced electrode modifier.

Spatial heap vulnerabilities represent a significant aspect of memory corruptions, bringing serious threats to software security. To automatically exploit spatial vulnerability, manipulation is required, which entails placing victim object into target area achieve control flow hijacking. Traditional fuzzers, primarily rely on code coverage as metric, are inadequate for discovering diverse exploitable states. In this paper, we propose novel fuzzing technique that utilizes diversity principle...

Dynamic taint analysis techniques are a popular dynamic software method. Marking key segment of program function by is an important part vulnerability research. Key marking usually related to the control flow analysis, however, several specific structure may cause failure in due dependence, and overtainting undertainting problem. In this paper, we proposed novel method mark accurately efficiently with deep learning technology. Firstly, fit execution into continuous convoluntional network,...

Abstract Exploiting an out‐of‐bounds write vulnerability in general‐purpose applications has become a current research focus. Given the large scale of code programs, selecting appropriate memory objects for exploitation is challenging. This letter proposes corrupted data propagation‐guided fuzzing method. By tracking propagation process among objects, multi‐level schedule proposed to search execution paths. Experimental results show that this method, EMOFuzz, can effectively identify...

Exploit an out-of-bounds write vulnerability in general-purpose applications has become a current research focus. Given the large scale of code programs, selecting appropriate memory objects for exploitation is challenging. In letter, we propose corrupted data propagation-guided fuzzing method. By tracking propagation process among objects, multi-level schedule to search execution paths. Experimental results show that our proposed method, EMOFuzz, can effectively identify exploitable under...

Urban scene reconstruction is crucial for real-world autonomous driving simulators. Although existing methods have achieved photorealistic reconstruction, they mostly focus on pinhole cameras and neglect fisheye cameras. In fact, how to effectively simulate in remains an unsolved problem. this work, we propose UniGaussian, a novel approach that learns unified 3D Gaussian representation from multiple camera models urban driving. Our contributions are two-fold. First, new differentiable...