Structural Matching Research Articles

Numerical simulation on the three-dimension mesoscopic model of aerated ceramsite concrete based on CT scan

As a kind of composite construction material integrated with relatively high strength and excellent acoustic and thermal insulation, aerated ceramsite concrete (ACC) characterizes with multilevel pore structures with different features in aerated cement slurry base, ceramsite aggregate and the interfacial transition zone (ITZ) respectively. It was found that pores distribution in ceramsite aggregates was relatively regular with pore walls being smooth and compact. In contrast, pore sizes and distribution in aerated cement slurry base were obviously discrete and pore walls were loose. Prominently, the ITZ was denser than both of aerated cement slurry base and ceramsite with less pores inside. To reproduce reasonable 3D mesoscopic model of ACC for effective simulation, the ACC specimen was first remodeled using MIMICS by CT scanning. The proposed simulation method well represented the real ceramsite aggregates and distribution in ACC and the result coincided with the test based on the related defining of crushable foam material model of the aerated mortar cement slurry and ceramsite aggregates. The uniaxial compressive test of ACC and simulation indicate that, the porous structure and strength matching between the aerated cement slurry base and ceramsite aggregates were the key factors to affect the mechanism and failure of ACC. The internal cracks mostly originated from the aerated cement slurry base or in the ceramsite aggregates being more porous with lower strength.

The role of surface and structural similarities in the retrieval of realistic perceptual events.

This study investigated whether structural similarities (i.e. abstract frames, e.g. once bitten twice shy) can prevail over surface similarities (i.e. contexts, e.g. restaurant) in driving the retrieval of realistic events involving dynamic, multimodal and perceptually crowded data. After watching an initial set of video clips, participants had to indicate whether a new video clip, that shared surface similarities with an initial event and structural similarities with another one, elicited a retrieval. The results of Experiment 1A showed that retrieval was more likely to be elicited by structural rather than by surface similarities. Experiment 1B confirmed that the surface similarities manipulated in this study were strong enough to elicit substantial retrievals when the competing structural match was neutralized. The pattern of results obtained in Experiment 1A remained unchanged when the number of unrelated video clips within the initial set was increased. The findings suggest that structurally based retrievals still prevail when familiar structures underlie realistic perceptual events. They open new perspectives regarding the settings that promote structurally based retrievals in educational contexts where unfamiliar principles are introduced.

Unpaired Multi-View Graph Clustering With Cross-View Structure Matching.

Multi-view clustering (MVC), which effectively fuses information from multiple views for better performance, has received increasing attention. Most existing MVC methods assume that multi-view data are fully paired, which means that the mappings of all corresponding samples between views are predefined or given in advance. However, the data correspondence is often incomplete in real-world applications due to data corruption or sensor differences, referred to as the data-unpaired problem (DUP) in multi-view literature. Although several attempts have been made to address the DUP issue, they suffer from the following drawbacks: 1) most methods focus on the feature representation while ignoring the structural information of multi-view data, which is essential for clustering tasks; 2) existing methods for partially unpaired problems rely on pregiven cross-view alignment information, resulting in their inability to handle fully unpaired problems; and 3) their inevitable parameters degrade the efficiency and applicability of the models. To tackle these issues, we propose a novel parameter-free graph clustering framework termed unpaired multi-view graph clustering framework with cross-view structure matching (UPMGC-SM). Specifically, unlike the existing methods, UPMGC-SM effectively utilizes the structural information from each view to refine cross-view correspondences. Besides, our UPMGC-SM is a unified framework for both the fully and partially unpaired multi-view graph clustering. Moreover, existing graph clustering methods can adopt our UPMGC-SM to enhance their ability for unpaired scenarios. Extensive experiments demonstrate the effectiveness and generalization of our proposed framework for both paired and unpaired datasets.

Application of distal radius coronal bone structure matching in the treatment of distal radius fractures

To investigate the clinical effect of coronal bone structure matching(CBSM)in the treatment of distal radius fracture. A total of 39 cases of distal radius fracture between Jannary 2018 and Jannary 2022 were included in this study. Among them there were 22 males and 17 females with an average age of (48.9±16.3) years old, ranged from 22 to 65 years old. All patients were treated with open reduction and internal fixation with plates. Based on the measurement of CBSM value on the X-ray film the next day after surgery. All patients were divided into matched group and mismatched group according to the coronal bone structure matching in the normal range or not. There were 27 patients in the matched group, including 15 males and 12 females, the age ranged from 22 to 64 years old with an average of (48.0±16.2) years old. AO classification of fracture was C1 in 6 cases and C2 in 21 cases;the operation time ranged from 1 to 6 days after injury;9 cases were complicated with ulnar styloid process fracture. There were 12 patients in the mismatched group, including 7 males and 5 females;the age ranged from 22 to 65 years old with an average of (48.8±15.8) years old. AO classification of fracture was C1 in 4 cases and C2 in 8 cases;the time from injury to operation ranged from 1 to 5 days;4 cases were complicated with ulnar styloid process fracture. The X-ray films were used to evaluate fracture healing, humeral height, ulnar angle and palm tilt angle at 3 months after operation. The range of wrist motion(pronation, supination, palmar inclination and dorsiflexion), function outcomes(Gartland-Werley score) and pain levels (visual analogue scale, VAS) were compared between the two groups at the last follow-up. The average follow-up time of 39 patients were(9.5±4.3)months, ranged from 6 to 14 months. All patients healed in one stage without postoperative infection, fracture nonunion and fracture displacement occurred. Compared with match group at the last follow-up, the VAS in the mismatch group was increased[(2.5±1.3)points vs (1.6±1.0)points], the wrist pronation were decreased[(70.5±12.6)° vs (80.5±9.4)°], with statistically significant difference(P<0.05). There was no significant difference in the range of motion(supination, palmar inclination, dorsiflexion)and excellent good rate between the two groups at last follow-up after operation (P>0.05). Wrist dysfunction, limited pronation, and wrist pain may occur when the postoperative matching degree of the distal radius fracture is not within the normal range.

Stretchable wireless optoelectronic synergistic patches for effective wound healing

Physiotherapies play a crucial role in noninvasive tissue engineering for wound healing. However, challenges such as the implementation of complex interventions and unsatisfactory treatment outcomes impede widespread application. Here, we proposed a stretchable and wirelessly-powered optoelectronic synergistic patch with a dual-layer serpentine wireless receiver circuit to drive the optoelectronic modulation component. Optimized structure and impedance matching enable the patch to seamlessly attach to irregular skin surfaces and operate robustly over a 30% tensile strain range. Based on Sprague-Dawley rat wound model. The wound closure rate of the optoelectronic synergistic group significantly outperformed both monointervention and blank control groups. Mechanistically, optoelectronic synergistic intervention enhances the secretion of vascular endothelial marker proteins and growth factors, and stabilizes mitochondrial function during oxidative stress. Overall, the scalable amalgamation of flexible electronics, wireless transmission, and synergistic interventions promise to improve wound care.

Does Structural Matching between Finance and Law Promote Economic Development?

AbstractFinancial systems generally operate under two different models: one where capital markets play a primary role in financial transactions and resource allocation (market‐oriented model), and another where banks are the central institutions for these activities (bank‐oriented model). The degree of investor protection afforded by the legal system varies across these systems. What is the most efficient alignment between financial structure and investor protection? This paper attempts to quantify the structural matching relationship between the financial structure and investor protection in various countries, and examines empirically the impact of this relationship on economic development. Using a sample of cross‐country panel data, it finds that the degree of structural matching was positively related to economic development. Both the combination of a securities market and strong investor protection and the combination of a banking system and weak investor protection can contribute to promoting economic development. It extends the law and finance theory framework, enhances the analysis of scenarios with weak alignment between financial structure and investor protection, explains the growth path of developing countries, and highlights the diversity and the dynamic nature of the optimal financial structure.

Chameleon Sequences-Structural Effects in Proteins Characterized by Hydrophobicity Disorder.

Repeated protein folding processes both in vivo and in vitro leading to the same structure for a specific amino acid sequence prove that the amino acid sequence determines protein structuring. This is also evidenced by the variability of structuring, dependent on the introduced mutations. An important phenomenon in this regard is the presence of a differentiated secondary structure for chain fragments of identical sequence representing distinct forms of the secondary-order structure. Proteins termed chameleon proteins contain polypeptide chain fragments of identical sequence (length 6-12 aa) showing structural differentiation: helix versus β-structure. In the present paper, it was shown that these fragments represent components matching the structural status dictated by the physicochemical properties of the entire structural unit. This structural matching is related to achieving the goal of the biological function of the structural unit. The corresponding secondary structure represents a means to achieving this goal, not an end in itself. A selected set of proteins from the ChSeq database have been analyzed using a fuzzy oil drop model (FOD-M) identifying the uniqueness of the hydrophobicity distribution taken as a medium for recording the specificity of a given protein and a given chameleon section in particular. It was shown that in the vast majority, the status of chameleon sections turns out to be comparable regardless of the represented secondary structure.

A comparison of antibody-antigen complex sequence-to-structure prediction methods and their systematic biases.

The ability to accurately predict antibody-antigen complex structures from their sequences could greatly advance our understanding of the immune system and would aid in the development of novel antibody therapeutics. There have been considerable recent advancements in predicting protein-protein interactions (PPIs) fueled by progress in machine learning (ML). To understand the current state of the field, we compare six representative methods for predicting antibody-antigen complexes from sequence, including two deep learning approaches trained to predict PPIs in general (AlphaFold-Multimer and RoseTTAFold), two composite methods that initially predict antibody and antigen structures separately and dock them (using antibody-mode ClusPro), local refinement in Rosetta (SnugDock) of globally docked poses from ClusPro, and a pipeline combining homology modeling with rigid-body docking informed by ML-based epitope and paratope prediction (AbAdapt). We find that AlphaFold-Multimer outperformed other methods, although the absolute performance leaves considerable room for improvement. AlphaFold-Multimer models of lower quality display significant structural biases at the level of tertiary motifs (TERMs) toward having fewer structural matches in non-antibody-containing structures from the Protein Data Bank (PDB). Specifically, better models exhibit more common PDB-like TERMs at the antibody-antigen interface than worse ones. Importantly, the clear relationship between performance and the commonness of interfacial TERMs suggests that the scarcity of interfacial geometry data in the structural database may currently limit the application of ML to the prediction of antibody-antigen interactions.

Ice Nucleation Mechanisms on Platinum Surfaces in PEM Fuel Cells: Effects of Surface Morphology and Wettability.

Understanding the ice nucleation mechanism in the catalyst layers (CLs) of proton exchange membrane (PEM) fuel cells and inhibiting icing by designing the CLs can optimize the cold start strategies, which can enhance the performance of PEM fuel cells. Herein, mitigating the structural matching and templating effects by adjusting the surface morphology and wettability can inhibit icing on the platinum (Pt) catalyst surface effectively. The Pt(211) surface can inhibit icing because the atomic spacing of (211) crystalline surface is much larger than the characteristic distance of ice crystal, thereby mitigating the structural matching effects. A water overlayer on the Pt surface induced by the strong attraction of Pt can act as a template for ice layers and plays an important role in the icing process. Buckling of water overlayer due to the larger atomic spacing of (211) crystalline surface mitigates the templating effect and inhibits icing. Moreover, the water overlayer on the hydrophobic Pt(211) surface with fewer water molecules also mitigates the templating effect, which makes ice nucleation more difficult than homogeneous nucleation. These findings reveal the ice nucleation mechanisms on the Pt catalyst surface from the molecular level and are valuable for catalyst designs to inhibit icing in CL.

Research on stiffness matching of support structure of high-precision equipment on satellite

Abstract This paper takes the support structure of high-precision equipment on satellites as the research object, and combining it with the characteristics of an actual satellite platform, analyses the stiffness matching between the platform and the load mounting point represented by the axial connecting relay. On this basis, the support structure of two different types of installation points is quantitatively evaluated, the optimal configuration is selected through the analysis result, and the design improvement measures are proposed. It provides a new design idea for the support structure of the same type of high-precision equipment on satellite.

Surface matches prevail over distant analogs during retrieval.

Laboratory studies using a reception paradigm have found that memory items sharing similar entities and relations with a working memory cue (surface matches) are easier to retrieve than items sharing only a system of abstract relations (structural matches). However, the naturalistic approach has contended that the observed supremacy of superficial similarity could have originated in a shallow processing of somewhat inconsequential stories, as well as in the inadvertent inclusion of structural similarity during the construction of surface matches. We addressed the question of which kind of similarity dominates retrieval through a hybrid paradigm that combines the ecological validity of the naturalistic production paradigm with the experimental control of the reception paradigm. In Experiment 1 we presented participants with a target story that maintained either superficial or structural similarities with two popular movies that had received a careful processing prior to the experimental session. Experiment 2 replicated the same procedure with highly viralized public events. In line with traditional laboratory results, surface matches were significantly better retrieved than structural matches, confirming the supremacy of superficial similarities during retrieval.

Dysprosium doped SrCeO3 nanophosphors for advanced photochemical applications: Synthesis, characterization, photo-assisted dye degradation and latent fingerprint visualization

The present work investigates the novel potential of Sr(1-x)CeO3: xDy3+ (x = 1–9 mol%) nanoparticles, fabricated through Solution Combustion method using citric acid as fuel. The as-fabricated samples were thoroughly characterised using a variety of techniques to obtain structural, morphological, and optical data. Powder X-ray diffraction (PXRD) examination revealed the presence of an orthorhombic crystal structure (Pnma) matching PDF card #01-083-1156. Tauc's plot evaluating band gap energy utilizing absorption spectra reveals a range of 3.4 eV–4.2 eV with refractive index ranging from 0.64 to 1.22. Using Field Emission Scanning Electron Microscopy (FESEM), it was possible to see a coral-like aggregation for the host and initial concentration of Dy3+ ions, and a porous structure for higher concentrations. With an average particle size of 38.20 nm, a comprehensive Transmission Electron Microscopy (TEM) study demonstrates the fused aggregation structure. Moreover, quantifiable evidence of the precursors presence is provided by X-ray Photoelectron Spectroscopy (XPS). For the as-fabricated samples, photoluminescence investigations were carried out. Two strong peaks with a dominating 4F9/2 → 6H13/2 diploe-dipole transition was seen in the observed emission spectra under 366 nm (6H15/2 → 6P7/2) excitation. These peaks are positioned at 573 nm (4F9/2 → 6H13/2) and 478 nm (4F9/2 → 6H15/2). Under UV light, two cationic dyes, Rhodamine-B (Rh–B) and Methylene Blue (MB), were photo-catalytically degraded using the prepared sample (SCD5). According to 0th and 1st order kinetics, the observed data show evidence of effective degradation up to 89.64 % (Rh–B) and 78.86 % (MB) at 80th minute. In addition, the impact of several analytical parameters on the percentage degradation of Rh–B and MB dyes was investigated. These parameters included catalyst changes, dye dosage, and scavenger effect. The produced nanoparticles were used to create latent fingerprints on two non-porous surfaces: glass and aluminium. The results clearly showed that on both surfaces a type-III level of detection was attained. To summarise, the outcomes indicate that Sr(1-x)CeO3: xDy3+ nanoparticles that have been synthesized can be used for advanced forensic applications as well as for the degradation of dye pollutants.

Achieve efficient photocatalytic degradation of multiple pollutants by constructing WO3-x/BiOBr heterojunctions with hierarchical structure on carbon fibre cloths

Photocatalytic technology has shown excellent application potential in water pollution treatment, but the design and preparation of reusable photocatalysts that can degrade multiple pollutants with high efficiency is a major difficulty limiting the development of this field. Herein, the CF/WO3-x/BiOBr heterojunctions with hierarchical structures were synthesized via a two-step hydrothermal method, in which sheet BiOBr with high-efficiency {001} exposed crystal plane self-assembled into flower-like structure. Due to the unique microstructure control and suitable energy band structure matching, the CF/WO3-x/BiOBr-2.5 M has shown excellent photodegradation effect on a variety of pollutants at the same time (91.2 % for RhB dye, 71.5 % for TCH antibiotic and 88.2 % for Cr(VI) heavy metal pollutant). The synthesis of WO3-x/BiOBr heterojunctions enabled an efficient redox reaction, which facilitated the effective separation and transport of electron-hole pairs. Overall, the results provide a novel approach to designing cloth-based photocatalytic systems with unique structures capable of degrading multiple pollutants.

Compositional effect on microstructure and mechanical properties of AlNbTiZr-based refractory high entropy alloys

This study aims to investigate the phase composition, microstructure, and mechanical properties of three refractory high-entropy alloys (RHEAs): Al7(NbTiZr)93, Al7(NbTiZrMo)93, and Al7(NbTiZrTa)93. The as-cast Al7(NbTiZr)93 alloy exhibits a single-phase BCC structure, with a yield strength (YS) of 1050 MPa at room temperature. The addition of Mo and Ta leads to the formation of Al7(NbTiZrMo)93 and Al7(NbTiZrTa)93 alloys with BCC-B2 and B2-FCC dual-phase structures, whose YS values reach 1741 MPa and 2350 MPa, respectively. At 800 °C, trace amounts of ordered B2 phase are generated in the Al7(NbTiZr)93 matrix, and the YS decreases from 1050 MPa at room temperature to 219 MPa at 800 °C. In the Al7(NbTiZrMo)93 alloy, the 10 nm B2 precipitates grow to several hundred nanometers, and the YS decreases to 431 MPa after compression at 800 °C. In the Al7(NbTiZrTa)93 alloy, the grid B2-FCC structure at room temperature transforms into a disordered BCC structure at 800 °C, yet possessing the YS of 908 MPa and demonstrating acceptable ductility. Moreover, Ta exhibits the better structural and performance matching than Mo in AlNbTiZr-based RHEAs. Therefore, it opens up new prospects for regulating the structure and high-temperature performance of AlNbTiZr-based RHEAs.

Information-sharing strategy in a two-stage hybrid platform under co-opetition background

The hybrid platform is emerging into online retailing market based on reselling and direct selling, forming the dual-channel model composed of third-party operated and platform self-operated channels. To achieve structural matching between channels, this study studies the pricing strategies of suppliers as well as platform under four information-sharing situations: non-sharing information (NS), complete sharing information (CS), sharing information only with supplier of self-operated channel (SS), sharing information only with supplier of third-party operated channel (ST), and derive the equilibrium outcomes. The conclusions show that the retailing price in NS is only affected by levels of competition and transaction fees, while sharing information can raise the retailing price of both channels. Second, the information shared to self-operated supplier can intense competition and bring higher wholesale price, while information not shared to self-operated supplier can enhance co-operation and bring lower wholesale price. Moreover, the self-operated supplier is more inclined to enjoy market information, the third-party supplier prefers to no information shared to self-operated supplier at lower information-sharing level, but the third-party supplier prefers to SS at higher information-sharing level. For equilibrium results, the NS is the equilibrium information-sharing strategy when the information value is high; when the information value is moderate, the equilibrium strategy is ST under small or high transaction fee, and the equilibrium decision is CS under modest transaction fee; when the information value is small, the equilibrium strategy is CS under small or high transaction fee, while the equilibrium decision is ST under modest transaction fee.

A Comparison of Antibody-Antigen Complex Sequence-to-Structure Prediction Methods and their Systematic Biases.

The ability to accurately predict antibody-antigen complex structures from their sequences could greatly advance our understanding of the immune system and would aid in the development of novel antibody therapeutics. There have been considerable recent advancements in predicting protein-protein interactions (PPIs) fueled by progress in machine learning (ML). To understand the current state of the field, we compare six representative methods for predicting antibody-antigen complexes from sequence, including two deep learning approaches trained to predict PPIs in general (AlphaFold-Multimer, RoseTTAFold), two composite methods that initially predict antibody and antigen structures separately and dock them (using antibody-mode ClusPro), local refinement in Rosetta (SnugDock) of globally docked poses from ClusPro, and a pipeline combining homology modeling with rigid-body docking informed by ML-based epitope and paratope prediction (AbAdapt). We find that AlphaFold-Multimer outperformed other methods, although the absolute performance leaves considerable room for improvement. AlphaFold-Multimer models of lower-quality display significant structural biases at the level of tertiary motifs (TERMs) towards having fewer structural matches in non-antibody containing structures from the Protein Data Bank (PDB). Specifically, better models exhibit more common PDB-like TERMs at the antibody-antigen interface than worse ones. Importantly, the clear relationship between performance and the commonness of interfacial TERMs suggests that scarcity of interfacial geometry data in the structural database may currently limit application of machine learning to the prediction of antibody-antigen interactions.

Emergent task allocation and incentives: an agent-based model

AbstractIn recent times, organizations have increasingly adopted structures in which decision making is distributed rather than centralized. This approach often leads to task allocation emerging from the bottom up, moving away from strict top-down control. This shift raises a key question: How can we guide this emergent task allocation to form an effective organizational structure? To address this question, this paper introduces a model of an organization where task assignment is influenced by agents acting based on either long-term or short-term motivations, facilitating a bottom-up approach. The model incorporates an incentive mechanism designed to steer the emergent task allocation process, offering rewards that range from group-based to individual-focused. The analysis reveals that when task allocation is driven by short-term objectives and aligned with specific incentive systems, it leads to improved organizational performance compared to traditional, top-down organizational designs. Furthermore, the findings suggest that the presence of group-based rewards reduces the necessity of mirroring, i.e., for a precise matching of the organizational structure to task characteristics.

Multiorder-Cascaded Matching of Coupling Structures for High-Efficiency Phase Locking Between Multiple Magnetrons

Multiorder-Cascaded Matching of Coupling Structures for High-Efficiency Phase Locking Between Multiple Magnetrons

A nitroreductase-responsive fluorescence turn-on photosensitizer for lysosomes imaging and photodynamic therapy

Nitroreductase (NTR) is a frequently used biomarker for the assessment of hypoxia level in tumors. As one of the main sources of enzymes, the dysfunction of lysosomes typically leads to various diseases. In this study, an NTR-triggered lysosome-targeting probe, M-TPE-P, was designed based on a tetraphenylethylene core. DFT calculation indicated that the probe possessed a narrow singlet–triplet energy gap (ΔEST), rendering it an efficient photosensitizer. The docking affinity of M-TPE-P to NTR revealed a strong structural match between them. Photophysical properties demonstrated that the probe exhibited high selectivity and sensitivity in a broad pH rang for detecting NTR with kcat/Km as 2.18 × 104 M−1 s−1. The detection limit was determined to be 53.6 ng/mL in 80 % PBS/DMSO solution. Cell imaging studies showed the probe could trace intracellular NTR behavior with green fluorescence. The colocalization analysis indicated its excellent lysosome-targeting specificity. In addition, the probe exhibited effective ROS generation ability and significant PDT effect after NIR irradiation, positioning it as a promising photosensitizer for cancer treatment.

Forecasting optical response in lieu of electronic properties of TlCaF3 via halogen substitution for UV filtration: a DFT perspective

ABSTRACT It is demonstrated that the substitution of Cl, B, and I at different concentrations in TlCaF3 significantly alters the phase, electronic band structure and optical, elastic, mechanical and anisotropic properties of the material. At 2.81% and 5.63% concentrations of all substituted elements, the cubic phase of TlCaF3 transforms into a pseudo-cubic tetragonal phase. With the addition of substitutional atoms, a systematic considerable narrowing of the bandgap is seen, and it can be either direct or indirect depending on the symmetrical positions. The bandgap shrinking can be addressed, in part, via the total/partial/elemental density of states (DOS) in line with structural variations. From the optical response, the refractive index rises with substitution atoms. According to the mechanical stability requirements for each substitution, the determined elastic constants for cubic and tetragonal structures match. Additionally, using elastic parameters, it is possible to estimate the unique mechanical features to evaluate the ductility and brittleness of pure and substituted compounds. Furthernore, Cl, Br and I-atoms’ substitution would make them a suitable choice for improved optimisation in ultraviolet filters (UVF) due to the existence of their absorption spectra in the ultra-violet region and the modification in structural, electrical, optical, elastic and mechanical properties.