Specific Orientation Research Articles

Assembly of the Tn7 targeting complex by a regulated stepwise process

The Tn7 family of transposons is notable for its highly regulated integration mechanisms, including programmable RNA-guided transposition. The targeting pathways rely on dedicated target selection proteins from the TniQ family and the AAA+ adaptor TnsC to recruit and activate the transposase at specific target sites. Here, we report the cryoelectron microscopy (cryo-EM) structures of TnsC bound to the TniQ domain of TnsD from prototypical Tn7 and unveil key regulatory steps stemming from unique behaviors of ATP- versus ADP-bound TnsC. We show that TnsD recruits ADP-bound dimers of TnsC and acts as an exchange factor to release one protomer with exchange to ATP. This loading process explains how TnsC assembles a heptameric ring unidirectionally from the target site. This unique loading process results in functionally distinct TnsC protomers within the ring, providing a checkpoint for target immunity and explaining how insertions at programmed sites precisely occur in a specific orientation across Tn7 elements.

In-plane magnetization orientation driven topological phase transition in OsCl3 monolayer

The quantum anomalous Hall effect resulting from the in-plane magnetization in the OsCl3 monolayer is shown to exhibit different electronic topological phases determined by the crystal symmetries and magnetism. In this Chern insulator, the Os-atoms form a two dimensional planar honeycomb structure with an easy-plane ferromagnetic configuration and the required non-adiabatic paths to tune the topology of electronic structure exist for specific magnetic orientations based on mirror symmetries of the system. Using density functional theory (DFT) calculations, these tunable phases are identified by changing the orientation of the magnetic moments. We argue that in contrast to the buckled system, here the Cl-ligands bring non-trivial topology into the system by breaking the in-plane mirror symmetry. The interplay between the magnetic anisotropy and electronic band-topology changes the Chern number and hence the topological phases. Our DFT study is corroborated with comprehensive analysis of relevant symmetries as well as a detailed explanation of topological phase transitions using a generic tight binding model.

Learning Orientation Program Social Mobility Communication for Blind Students at SLBN Tasikmalaya

This research aims to describe the design and implementation of a special communication social mobility orientation program for blind students in SLBN Tasikmalaya Regency. This research is descriptive research with a qualitative approach. The research subject was one blind student. Data collection techniques were carried out by interviews and observation. Data analysis was carried out using reduction, data display, and conclusion drawing/verification. The research results show that the preparation stage was carried out by carrying out identification, assessment, analyzing the curriculum and compiling teaching modules. The teaching module includes three activities, namely introductory activities, core activities and closing activities. Preliminary activities contain activities to motivate, focus attention and find out the abilities that students have mastered. In core activities, the teacher uses lecture and demonstration methods. The teacher uses clothing brought by the students. In the closing activity, an assessment is carried out. At the evaluation stage, the teacher carries out formative evaluations during the learning process and after learning. Evaluation is carried out by observation and practical tests. Recommendations for further research are to carry out intervention efforts to improve the quality of learning, such as making innovations in media, teaching materials and assessments.

Identifying type II quasars at intermediate redshift with few-shot learning photometric classification

A sub-population of AGNs where the central engine is obscured are known as type II quasars (QSO2s). These luminous AGNs have a thick and dusty torus that obscures the accretion disc from our line of sight. Thus, their special orientation allows for detailed studies of the AGN-host co-evolution. Increasing the sample size of QSO2 sources in critical redshift ranges is crucial for understanding the interplay of AGN feedback, the AGN-host relationship, and the evolution of active galaxies. We aim to identify QSO2 candidates in the `redshift desert' using optical and infrared photometry. At this intermediate redshift range (i.e. $1 z 2$), most of the prominent optical emission lines in QSO2 sources (e.g. CIV$ OIII 4959, 5008$) fall either outside the wavelength range of the SDSS optical spectra or in particularly noisy wavelength ranges, making QSO2 identification challenging. Therefore, we adopted a semi-supervised machine learning approach to select candidates in the SDSS galaxy sample. Recent applications of machine learning in astronomy focus on problems involving large data sets, with small data sets often being overlooked. We developed a `few-shot' learning approach for the identification and classification of rare-object classes using limited training data (200 sources). The new AMELIA pipeline uses a transfer-learning based approach with decision trees, distance-based, and deep learning methods to build a classifier capable of identifying rare objects on the basis of an observational training data set. We validated the performance of AMELIA by addressing the problem of identifying QSO2s at $1 z 2$ using SDSS and WISE photometry, obtaining an F1-score above 0.8 in a supervised approach. We then used AMELIA to select new QSO2 candidates in the `redshift desert' and examined the nature of the candidates using SDSS spectra, when available. In particular, we identified a sub-population of NeV emitters at $z which are highly likely to contain obscured AGNs. We used X-ray and radio cross-matching to validate our classification and investigated the performance of photometric criteria from the literature showing that our candidates have an inherent dusty nature. Finally, we derived physical properties for our QSO2 sample using photoionisation models and verified the AGN classification using an SED fitting. Our results demonstrate the potential of few-shot learning applied to small data sets of rare objects, in particular QSO2s, and confirms that optical-IR information can be further explored to search for obscured AGNs. We present a new sample of candidates to be further studied and validated using multi-wavelength observations.

Directed growth of quinacridone chains on the vicinal Ag(35 1 1) surface.

The formation of self-assembled domains and chains of monomolecular width of quinacridone (QA) on the vicinal Ag(35 1 1) surface was investigated by scanning tunneling microscopy and low-energy electron diffraction. The focus was on the influence of the steps on the QA structures and their preferential azimuthal orientations with the aim of achieving a selective orientation. After deposition at a sample temperature of 300 K, QA forms the same kind of molecular chains as on the nominally flat Ag(100) surface because of strong intermolecular hydrogen bonds, which we reported in a previous publication [Humberg, N.; Bretel, R.; Eslam, A.; Le Moal, E.; Sokolowski, M. J. Phys. Chem. C 2020, 124, 24861-24873]. The vicinal surface leads to one additional chain orientation, which is parallel to the Ag step edges. However, most chains nucleate on the Ag terraces between steps with four distinct azimuthal orientations that are identical to those on Ag(100), and which are determined by the interactions with the (100) surface. At 300 K, the chains grow across the Ag steps, which do not break the azimuthal chain orientations. In contrast, during the deposition at sample temperatures of 400 and 500 K, the nucleation of the chains takes place at the Ag step edges. Hence, these have a strong influence on the azimuthal orientation of the molecules, resulting in a preferential growth of the chains in two of the four azimuthal orientations. We explain this by the adaptation of favorable adsorption sites, which involve the replacement of Ag atoms by QA molecules with specific azimuthal orientations at the step edges.

Effect of Plate Thickness of Stainless Steel Core Plate Wall on Load Carrying Capacity under Pure Shear and Compression Shear Conditions

The shear walls have been employed as a lateral force opposing systems in numerous multistory buildings. The Stainless- Steel Core Plate Wall (SSCPW) is a recent and innovative addition to structural elements. The adoption of stainless steel over traditional steel has been driven by its advantageous properties, such as its lightweight nature, durability, and resistance to corrosion. The SSCPW comprises stainless-steel plates interconnected with orthogonally positioned stainless steel core tubes through welding. Depending on the specific orientations chosen, SSCPW can function as beams, columns, walls, floors and other essential structural components. Different cross-sectional shapes of SSCPWs are available, and this study focused on L- and T-shaped SSCPWs subjected to pure shear and compression shear conditions. The analysis and investigation of the impact of plate thickness on load-carrying capacities was conducted using ANSYS Workbench software. It was observed load-carrying capacity of SSCPW increases as the plate thickness increases. Plate thicknesses of 8, 12, 16 and 20 mm were chosen for modelling. Results show that SSCPW of plate thickness 20 mm has the maximum load-carrying capacity.

Circularly Polarized Luminescent π‐Conjugated Chiral Nanorings and Nanobelts

AbstractMolecular chirality plays a pivotal role across the disciplines of chemical and physical sciences, as well as holding significant implications in the realms of medicine and technology. Chiral macrocycles have attracted recent interests in synthetic chemistry, material science, and supramolecular chemistry. Due to the cyclic arrangements of stereogenic elements or special orientations confined in the rigid structures, π‐conjugated chiral macrocycles are expected to be highly luminescent, and configurationally stable, and thus serve to develop high‐performance chiroptical materials. Given the rapid progress achieved in this new area in recent years, it is significant to highlight new concepts and breakthroughs. This minireview will offer the overview of a wide range of π‐conjugated chiral macrocycles from traditional molecules which include the axially, helically, and planar chiral skeletons to the new chiral nanobelts with a focus on the structure‐function relationship between chiral molecules and the unique chiroptical properties.

Nanocarbon architecture-intervened interface design of Cu matrix composites towards necking-delayed fracture and toughening

In-situ formed interfacial carbides always sacrifice the structure integrity of reinforcement in nanocarbon/metal composites. Herein, leaf-like carbon nanotube-graphene nanoribbon (CNT-GNR) hybrids, consisting of CNT midrib and GNR margin, was synthetized to solve the above dilemma in nanocarbon-CuCr system. Results demonstrate that high-density nano-sized Cr7C3, which had specific orientation relationship related to the CuCr matrix ([0 0 1]Cr7C3//[011]CuCr, (2‾ 20) Cr7C3//(11 1‾)CuCr), was in-situ formed at GNR-Cu interface via “heterogeneous nucleation-growth” pattern. Meanwhile, the integrity of CNT midrib was well-retained. In-situ SEM tensile results show that such designed interface effectively prevents crack propagation, makes crack blunt via coordinated plastic deformation of local matrix, and guarantees the failure of CNT-GNR by breakage mode, being crucial for exerting the toughening and promoting strength-ductility synergy of CNT-GNR/CuCr.

Characterization of the interfacial structure and fracture behavior of in situ synthesized ceramics to reinforce Ni-based composite coatings

This work used the in-situ synthesis of molten-state nitride ceramic phase-reinforced Ni-based alloy coatings, aiming to improve the phase-interface bonding through the interdependent co-solidification between molten droplets. The XRD was used to analyze the physical phases of the composite coatings. The microstructure and phase-interface structure were characterized in detail by combining SEM, TEM, HRTEM, FFT, and SAED techniques. Microhardness tester and microforce microhardness tester were employed to measure the surface hardness and elastic modulus of the composite coatings. The fracture behavior of the composite coatings was characterized by observing the fracture morphology of the coatings using SEM combined with the EDS technique. It was found that the formation mechanisms of interfacial misfit dislocation assistance, lattice distortion, aggregation of stacking faults, and specific growth orientation between the γ-Ni matrix phase and each ceramic phase in NiCrBSi-TiCrN composite coatings improved the lattice matching between the two-phase interface, which resulted in the formation of atomically corresponding coherent lattice relations and stepped interfacial semi-coherent lattice relations, and enhanced the degree of phase-interface bonding. On this basis, the composite coatings with high Cr content further inhibited the expansion of interphase penetration cracks due to the existence of Cr-rich zones at the phase interface, thus exhibiting high fracture toughness. This work provides new opinions on the improvement of phase-interface bonding and composition design of Ni-based composite coatings.

Non-destructive testing by eddy current sensor for crack orientation detection using HHO optimizer by differential probe

In this research, the design of non-destructive eddy current evaluation systems was improved using Harris Hawks optimization (HHO). To determine the orientation of cracks from eddy current data, a numerical approach was developed based finit elements methode FEM and on an iterative inversion technique that minimizes a non-linear least squares objective function that evaluates the overall difference between forecasts and observationsin axisymmetric model. In this paper the HHO optimization and steepest descent methods were compared and studied in order to minimize the objective function. To measure the precision of the estimated crack orientation, the lower bounds of the HHO optimization on crack orientation were obtained. This work explores the concept of an HHO algorithm that searches for the optimal solution within a large solution space for a specific crack orientation problem.The algorithm starts its search at any point in the solution space and looks for better solutions by searching in the "local" area surrounding the start point. The algorithm ends when it finds what it believes to be the best solution or when predetermined stopping criteria are met.

Vacancy modulation dramatically enhances the thermoelectric performance of InTe single crystal

InTe single crystals have demonstrated great promise in the field of thermoelectric materials, particularly when oriented along the [110] direction. This specific crystal orientation exhibits higher electronic conductivity and lower thermal conductivity compared to other orientations of InTe. Through first-principles calculations, we identified the anisotropic valence band and phonon dispersion as the underlying factors. Moreover, reducing the density of In+ vacancies in InTe was found to lower the band effective mass and modulate carrier scattering, enhancing the material quality factor (B). To explore these findings, we systematically grew InTe single crystals, achieving exceptional thermoelectric performance. A record-breaking power factor of 12.0 μW·cm−1·K−2 and a dimensionless figure of merit (zT) of 0.5 at room temperature were obtained. Notably, InTe crystals oriented along [110] with low In+ vacancy density exhibited the highest average zT of 0.63 among InTe-based thermoelectric materials within the 300–473 K temperature range. Furthermore, we introduced an effective method of reducing In+ vacancies through Indium vapor annealing, resulting in the highest reported carrier mobility of 182 cm2·V−1·s−1 for InTe. Our study highlights the potential for improving InTe's thermoelectric performance near room temperature through vacancy modulation and crystal orientation.

Improved fiber orientation measurement in nonwovens with corner removal

The orientation of fibers or filaments in nonwovens is critical in determining their mechanical characteristics. Image processing techniques, prized for their minimal human intervention and rapid processing speed, are widely utilized in nonwoven fiber orientation measurement. However, these techniques often face substantial challenges, such as low accuracy in corner detection, errors in fiber segmentation, and inefficiencies in fiber orientation calculation. Addressing these concerns, this study introduces a novel, enhanced method accompanied by two innovative optimization algorithms to enhance accuracy. The first innovation involves the development of a newly developed fiber corner detection algorithm, dubbed the T-detector, specifically tailored for the unique characteristics of fiber images, enabling efficient corner point detection and removal. Subsequently, we introduce and employ a fiber length restriction algorithm to further segment the processed longer fibers into the remaining fiber fragments and utilize a skeleton projection algorithm to calculate the fiber orientation. These algorithms overcome the existing technology’s inherent shortcomings, thereby heightening measurement accuracy. The results illustrate an improvement in measurement precision over other orientation distribution measurement algorithms, with the fiber information retention (covering ratio) reaching an impressive 95%. Our proposed method not only calculates fiber orientation distribution in nonwovens with remarkable accuracy and efficiency, but its innovative approach also stands to provide a theoretical foundation for the design of three-dimensional filtering models with specific fiber orientation.

Directionality characteristics of horizontal response spectra from the 2022 Mw 6.9 Chihshang, Taiwan earthquake

Horizontal earthquake ground motion intensity, and specifically response spectral ordinates, vary with orientation. This phenomenon is usually referred to as ground motion directionality and can be separated into two aspects: the orientation where the maximum spectral response occurs and the variation of response spectral ordinates as the orientation moves away from the orientation of maximum spectral response. This work studies both aspects using the recent 2022 Mw 6.9 Chihshang, Taiwan earthquake, which was recorded by a dense network of strong motion stations with various geological and topographical settings. The mean variation of response spectral ordinates with orientation is found to be slightly more significant than that of previous shallow crustal earthquakes in active tectonic regimes. Moreover, the orientation of maximum spectral response is found to be close to the transverse orientation, which is perpendicular to the orientation at a given site that points to the earthquake epicenter, confirming prior observations made for strike-slip earthquakes. These results suggest that the location of a site relative to the seismic source could be used to modify the outputs of ground motion models to estimate spectral responses at specific horizontal orientations.

Phase formation and elemental transport in the vacuum diffusion bonding between CoCrFe0.2NiMn and CoCrFe16NiMn multicomponent alloys

To efficiently explore the influence of Fe content on the phase stability of the multicomponent CoCrFexNiMn (hereafter abbreviated as Fex) alloys. A diffusion layer with continuous, concentration gradient of Fe element is created based on diffusion couple technique. The microstructure and element distribution of the diffusion bonded layer between Fe0.2 and Fe16 alloys are analyzed. A new layer of FCC and HCP solid solution phases generates in the diffusion zone, which is consistent with the prediction of parametric approach and phase diagram calculation. As diffusion proceeds, the FCC phase is transformed from the BCC phase with the decreasing of Fe content and the HCP phase might be the transitional phase during this transition. The newly formed FCC and HCP phases are shown specific orientation relationships with the BCC phase. Elemental analysis indicated that the diffusion rate of the alloy components in the FCC phase is Cr > Mn > Co > Ni. The large concentration gradient in the diffuse interface and grain boundaries diffusion of BCC phase promoted the Fe diffusion, causing the BCC phase to transform into FCC phase.

Sustainable deep eutectic solvents induced the polymorph selectivity and high purification efficiency

Deep eutectic solvents (DESs), as modern green solvents, have been examined as sustainable crystallization media in recent years. Nevertheless, their roles in affecting nucleation and polymorph control of crystal materials are still poorly understood. Herein, we report the use of DES for controlling polymorph crystallization and investigate systematically the mechanism of DES solvent characteristics on polymorph selectivity. Concomitant crystallization of sulfathiazole (STZ) polymorphs has been widely reported in organic solvents, while we found DES can improve its polymorph selectivity significantly. Pure forms II and IV were selectively and rapidly obtained from solvents containing [thymol][fatty acid] and [thymol][coumarin] DESs, respectively. The microstructural changes of DES exhibited dynamic regulatory effect on STZ polymorph selectivity. Analysis of 1H NMR, viscosity and computational simulations revealed that the DES hydrogen-bonding network structures were preserved for DES contents above 50 wt% in binary solvents, which affected the nucleation kinetics of STZ and its molecular assembly during crystallization process. Further mechanistic investigations suggested that DES hydrogen-bonding network structures exerted confinement effect and nucleation-templating effect through DES-solute interactions (hydrogen-bonding and π-π stacking interactions for [thymol][fatty acid] and [thymol][coumarin] systems, respectively), which limited the motion of solute molecules and delayed nucleation rate as well as induced the STZ nucleation toward specific orientations, thus achieving polymorph selectivity. In addition, DESs could be recycled and exhibited good reproducibility in achieving STZ polymorph purification. This study offers a sustainably effective strategy for polymorph purification of crystalline materials and promotes advance the fundamental understanding of DES solvent characteristics on polymorph control.

Effect of precursor solution temperature on the morphology and electrochemical performance of electrodeposited MnO2 nanofilms for lithium-ion batteries

ABSTRACT This study investigated the impact of precursor solution temperature on the electrodeposition of MnO2 material, which were prepared on a nickel substrate using the electrodeposition method under varying precursor solution temperatures of 25°C, 40°C, 50°C, and 60°C, respectively. These materials were subsequently employed as anodes in lithium-ion batteries to study their electrochemical performance. The results indicate that an increase in temperature induces preferential aggregation and growth of MnO2 nanosheets towards specific orientations, which is advantageous for enhancing the electrochemical performance of MnO2 electrode materials. Notably, the electrode material prepared at a solution temperature of 50°C exhibited optimal performance. Additionally, the charge transfer impedance was lower, which could be attributed to the growth of the highly conductive β-MnO2 main phase under 50°C. This study presents a novel approach for effectively improving electrodeposited nanomaterials, offering insights into the optimisation of electrochemical performance.

In Silico Elucidation of the Binding Mechanisms and Molecular Dynamics of Oroxylin A -2,3-Dioxygenase Interaction: An Insight into Therapeutic Potentiation of Quercetin’s Cardioprotection.

Elucidating the intricate interplay between enzymes and natural compounds is essential for designing therapeutic strategies. This study employs advanced computational techniques to explore the binding mechanisms between quercetin 2,3-dioxygenase (QDO) and oroxylin A, revealing specific interaction patterns and key residues crucial to the formation of the QDO-oroxylin A complex. Molecular docking simulations revealed a favorable binding affinity (docking score: -5.6 kcal/mol) between Oroxylin A and the active site cavity of QDO, which was supported by Oroxylin A's specific orientation (Pose 3). Despite an observed RMSD value of 2.776 indicating a moderate deviation between the docked pose and the reference structure, the formation of two hydrogen bonds with GLN 93 chain D underscores specific molecular interactions driving the binding process. This hydrogen bond formation suggested the presence of a stable and specific binding mode between Oroxylin A and QDO, likely influencing the functional dynamics of the enzyme, necessitating further refinement and validation of the docking model. The ensuing deliberation on the implications of Oroxylin A include its potential as a modulator of QDO activity, emphasizing the importance of molecular-level insights in comprehending enzyme-compound interactions. Oroxylin A, a quercetin 2,3-dioxygenase inhibitor, was used in combination with other agents to prolong the biological impacts of quercetin, thereby amplifying its antioxidant and anti-inflammatory effects. This strategic approach exhibits promise in augmenting cardioprotective benefits, immune system support, and protection against diverse pathological conditions. Subsequent considerations of dosage, bioavailability, and healthcare professional consultation are imperative for judicious supplementation, particularly in individuals with prevailing health conditions or medications. This ongoing in silico study is dedicated to revealing the potential synergistic interactions of Oroxylin A, potentiating the long-term effects of quercetin and advancing our understanding of these intricacies.

Health professionals’ intervention in the context of domestic violence against women: exploring perceptions and experiences of providing healthcare

ABSTRACT Domestic violence against women is a complex social phenomenon and a widely recognised issue of public health, which requires that all sectors of society, including the health sector, take the necessary action to prevent and address it. This paper aims to contribute to the discussion on the role of the primary health care in addressing domestic violence against women, by analysing health professionals’ perceptions of their practice as well as the difficulties they experience in providing healthcare to victims. To fulfil this aim, a qualitative approach was chosen, using focus groups with health professionals working in the area of primary health care in an inland region of Portugal. The main findings point to the lack of a specific protocol and insufficient information and skills to respond to domestic violence situations, which hinders health professionals’ confidence to intervene and tends to orientate them towards a more medical response. Resulting from these findings, implications for practice are discussed: the need for clear and specific orientations to guide health professionals’ intervention; the need to offer training that enables them to provide appropriate healthcare to women experiencing domestic violence; and the need to position themselves in the context of an integrated, multi-sectoral intervention.

Abstract 2035: In-Depth Analysis Of Tibial Artery Calcification Through Microct And Histology

Background: Peripheral artery disease (PAD) impacts over 200 million people worldwide. It is traditionally linked to atherosclerotic calcification, or intima arterial calcification (IAC). Recent findings emphasize the role of medial arterial calcification (MAC). Current studies have identified some factors in MAC and IAC, however, a comprehensive understanding of their distinct features and pathogenesis is lacking. This study addresses this gap by examining tibial arteries from PAD patients post-amputation. We characterized the calcification using microCT and histology. Methods: Human tibial arteries were obtained from PAD patients post amputation, and segmented into posterior, anterior, and peroneal arteries. The arteries were dissected, fixed in 4% paraformaldehyde, and stained with iodine. High-resolution microCT images were captured using a Scanco μCT40, and 3D models were reconstructed by ImageJ and Slicer3D. The samples were then processed for histological analysis, including Hematoxylin and eosin (H&E) stain and Alizarin red staining. Results: The study design is shown in Fig. A, featuring the serial dissection of a posterior artery as an example. The microCT scan protocol is designed for imaging continuous sections under a specific orientation. The 3D models enable a comprehensive assessment of calcification and quantification for distinct categorization, and the peroneal artery showed the least calcified lesions (*P<0.05, ***P<0.001; Fig. B & C). MAC/IAC or co-existing lesions were characterized by cross-sectional images and H&E staining. The results indicated a predominance of MAC in the highly calcified group, comprising over 98% of the entire tissue (Fig. D & E). Conclusions: We characterized calcified lesions in tibial arteries by microCT and histology. Calcification categories were determined through 3D models. Histology and cross-section images enabled the assessment and quantification of MAC/IAC or co-existing lesions.

Novel Ti3SiC2-(Ti, Zr)B2 toughened (Ti, Zr)C-based composites with enhanced mechanical properties fabricated by dual in situ reactions hot-pressing at low temperature

The fully dense Ti3SiC2-(Ti, Zr)B2 toughened (Ti, Zr)C-based composites were fabricated at 1400–1600 °C for the first time by dual in situ reactions hot-pressing with TiC, ZrB2, and Si as the initial powders. The influence of ZrB2, Si content and sintering temperature on the microstructure and mechanical properties of the composite was reported. When 10 mol% ZrB2 was added, Si combined with residual TiC to form Ti3SiC2 and SiC. However, with the addition of ZrB2 increase to 20 mol% and 30 mol%, Si participated in the formation of ZrSi and was not enough to react with TiC to form Ti3SiC2. The low-temperature in situ reactions, multiphase coupling effects, and the pinning effect of nano-SiC refine the microstructure of the composites. There are specific crystal orientation relationships between (Zr, Ti)C and (Ti, Zr)B2, as well as between (Ti, Zr)C and SiC. The layered Ti3SiC2 and plate-like (Ti, Zr)B2 by dual in situ reactions effectively improve the fracture toughness of the composites. The 10 ZB-15 possesses a highest fracture toughness of 6.1 MPa⋅m1/2. The 30 ZB-16 has the good comprehensive mechanical properties. The fracture toughness, flexural strength, and hardness of 30 ZB-16 is 5.6 MPa⋅m1/2, 679 MPa, and 26.4 GPa, respectively. The Ti3SiC2 and TiB2 formed during dual in situ reactions enables the composite to exhibit excellent oxidation resistance and wear resistance.