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Glioblastoma multiforme (GBM) is a highly malignant brain tumor with a poor prognosis and limited treatment options. Drug delivery by stimuli-responsive nanocarriers holds great promise for improving the treatment modalities of GBM. At the beginning of the review, we highlighted the stimuli-active polymeric nanocarriers carrying therapies that potentially boost anti-GBM responses by employing endogenous (pH, redox, hypoxia, enzyme) or exogenous stimuli (light, ultrasonic, magnetic, temperature, radiation) as triggers for controlled drug release mainly via hydrophobic/hydrophilic transition, degradability, ionizability, etc. Modifying these nanocarriers with target ligands further enhanced their capacity to traverse the blood–brain barrier (BBB) and preferentially accumulate in glioma cells. These unique features potentially lead to more effective brain cancer treatment with minimal adverse reactions and superior therapeutic outcomes. Finally, the review summarizes the existing difficulties and future prospects in stimuli-responsive nanocarriers for treating GBM. Overall, this review offers theoretical guidelines for developing intelligent and versatile stimuli-responsive nanocarriers to facilitate precise drug delivery and treatment of GBM in clinical settings.

Increasing evidence suggests that deregulated RNA splicing factors play critical roles in tumorigenesis; however, their specific involvement in colon cancer remains largely unknown. Here we report that the splicing factor RBM25 is overexpressed in colon cancer, and this increased expression correlates with a poor prognosis of patients with colon cancer. Functionally, RBM25 ablation suppresses the growth of colon cancer cells both in vitroand in vivo. Mechanistically, our transcriptome-wide analysis of splicing events revealed that RBM25 regulates a large number of cancer-related alternative splicing events across the human genome in colon cancer. Particularly, RBM25 regulates the splicing of MNK2by interacting with the poly G rich region in exon 14a, thereby inhibiting the selection of the proximal 3′ splice site (ss), resulting in the production of the oncogenic short isoform, MNK2b. Knockdown of RBM25 leads to an increase in the MNK2aisoform and a decrease in the MNK2bisoform. Importantly, re-expression of MNK2b or blocking the 3′ ss of the alternative exon 14a with ASO partially reverses the RBM25 knockdown mediated tumor suppression. Moreover, MNK2b levels were significantly increased in colon cancer tissues, which is positively correlated with the expression level of RBM25. Collectively, our findings uncover the critical role of RBM25 as a key splicing factor in colon cancer, suggesting its potential as a prognostic marker and therapeutic target.

This study addresses the escalating issue of rice spoilage during storage, which significantly affects rice quality. Utilizing near-infrared spectroscopy (NIRS) in conjunction with chemometrics, including partial least squares regression (PLSR), support vector machine regression (SVR), and back-propagation neural network (BPNN) algorithms, we aimed to quantify mold counts in three distinct rice varieties: Northern japonica rice Hongke 389, Southern japonica rice Huai rice No.5, and Indica rice Taiyo. Sample set partitioning methods, including sample set partitioning based on joint x-y distance (SPXY) and Kennard-Stone (KS), were employed for model construction. Various preprocessing techniques, such as maximum-minimum normalization (MMN), multiple scattering correction (MSC), standard normal variate (SNV), and Savitzky-Golay smoothing (SG), SG first-derivative (SG-FD), and SG second-derivative (SG-SD), were applied to enhance spectral data. The optimized models for each rice type were SPXY-SG-BPNN (Hongke 389: R²p= 0.9998, RMSEP = 0.0132), KS-SG-BPNN (Huai rice No.5: R²p= 0.9999, RMSEP = 0.0083), and SPXY-SG-BPNN (Taiyo rice: R²p= 0.9998, RMSEP = 0.0145), showcasing the superior performance of BPNN models in rapid and accurate mold detection. These results underscore the potential of NIRS-chemometrics integration for efficient quality control in stored rice.

Here we disclose a CuB-catalyzed reaction between aurone-derived α,β-unsaturated imines and styrenes to produce 2-substituted benzofuran derivatives bearing both the γ-boryl functionality and α,β-unsymmetric stereogenic centers. The reaction represents the first transition-metal-catalyzed unsymmetric 1,4-Michael additions of azadienes, which would enrich the arsenal of CuB catalysis in organic synthesis. In addition, the synthetically versatile boron-alkylated products can be elaborated by chemical transformations to useful optically active benzofuran heterocycles.

Composite materials made of aluminum-based carbon nanotubes (CNTs/Al) are often employed in industries like aerospace and national defense that place a high priority on material processing accuracy at the material’s surface. The most popular machining technique for enhancing the surface quality of materials is grinding. This paper built a prediction model for the surface roughness of CNTs/2009Al composites and identified the process of micro-grinding. Using the ABAQUS software, a non-uniform finite element simulation model of the single abrasive grain grinding process of CNTs/2009AL composites was created. An electroplated diamond grinding rod with a diameter of 2 mm was used in the micro-grinding experiment on the CNTs/2009Al composite, and the impact of the grinding parameters on the quality of the machined surface was examined. According to the findings, the feed speed has the least impact on the material’s surface roughness, whereas the spindle speed and grinding depth both have a significant impact. The measurement of the minimal roughness is 0.117 m. A shallower grinding depth, a lower feed rate, and a correspondingly higher spindle speed should be used in order to provide a superior surface quality. According to the prediction model of micro-grinding surface roughness and laser confocal microscope scanning, the primary phenomena of CNTs in the grinding process include pull-out, fracture, and elastic deformation.

Cancer remains a significant global health concern, necessitating the development of innovative therapeutic strategies. This research paper aims to investigate the role of pyroptosis induction in cancer treatment. Pyroptosis, a form of programmed cell death characterized by the release of pro-inflammatory cytokines and the formation of plasma membrane pores, has gained significant attention as a potential target for cancer therapy. The objective of this study is to provide a comprehensive overview of the current understanding of pyroptosis and its role in cancer treatment. The paper discusses the concept of pyroptosis and its relationship with other forms of cell death, such as apoptosis and necroptosis. It explores the role of pyroptosis in immune activation and its potential for combination therapy. The study also reviews the use of natural, biological, chemical, and multifunctional composite materials for pyroptosis induction in cancer cells. The molecular mechanisms underlying pyroptosis induction by these materials are discussed, along with their advantages and challenges in cancer treatment. The findings of this study highlight the potential of pyroptosis induction as a novel therapeutic strategy in cancer treatment and provide insights into the different materials and mechanisms involved in pyroptosis induction.

As an important part of intelligent manufacturing, robotic mixed-model assembly line needs to cost-effectively adjust its configuration to meet the dynamical manufacturing requirements. However, the existing reconfiguration method always considers the configurations of equipment in cyber space and ignores the interconnections between the physical and cyber spaces. Digital twin provides alternative ways to realize the interconnections between the physical and cyber spaces. In this paper, digital twin model of robotic mixed-model assembly line and the interconnections between physical and cyber spaces are realized by means of digital twin model. In addition, the mathematical model for minimizing the reconfiguration cost and load balancing is built, then the virtual reconfiguration problem is proposed. Afterwards, adaptive neighborhood search Bees algorithm, of which the adaptive neighborhood search strategy is included, is utilized to solve the proposed problem. Finally, the effectiveness of the proposed method is verified and the results show adaptive neighborhood search Bees algorithm generates better solutions compared with the other optimization algorithms. Note to Practitioners—The existing reconfiguration method is always realized in the cyber space and rarely integrates the physical industrial robot. Motivated by this, this paper combines the physical industrial robot with digital twin model of robotic mixed-model assembly line, and uses adaptive neighborhood search Bees algorithm to solve the reconfiguration problem. Based on the digital twin model of robotic mixed-model assembly line, the optimal solution of virtual reconfiguration method could be obtained considering the dynamic manufacturing requirements. Afterwards, the optimal solution can be sent to the physical robotic assembly line through the interconnection between the physical and cyber spaces. In addition, experiments under different cases show that the proposed method could generate the optimal solution when the manufacturing requirements change. In the future, the physical manufacturing process based on robotic mixed-model assembly line will be studied to make the proposed method more applicable.

A DC-side energy dissipation device and control method for offshore wind power generation systems have been proposed, which effectively solves the energy imbalance caused by the AC voltage drop at the receiving end. The proposed circuit structure uses IGBT and metal oxide varistor (MOV) to form a switching module, effectively avoiding the overvoltage problem caused by the IGBT series structure during the turn-off process, while significantly reducing the overall equipment volume. The proposed structure connects the energy dissipation resistor with the main circuit through a coupling transformer, which reduces the voltage at both ends of the energy dissipation resistor, thus reducing the cost of high-voltage wall bushings in the system. The proposed DC voltage and energy dissipation resistor current dual-loop control method can flexibly adjust the dissipation power of the energy dissipation arm. When a single switch in the arm fails, the proposed multi-equipment coordinated control method can realize Fault Ride Through (FRT) at the AC side of the receiving end converter (REC). Simulation and experimental results confirm that the proposed hardware structure and control method can safely and stably handle the DC voltage increase caused by the AC voltage drop at the receiving end.

This paper presents an innovative passivity-based $L_{2}$ -gain performance $(L_{2}$ -GP) adaptive robust control method for the design of primary and secondary frequency control in the low-inertia microgrid with lines and the inverter-interfaced generation. First, by exploiting and analyzing the internal structural properties, the Port-controlled Kuramoto-Hamiltonian model with dissipation for the microgrid system is derived. Combining the dynamics of Kuramoto oscillators with energy viewpoints and following the physical features of dynamic energy coordination in the microgrid, an adaptive robust $L_{2}$ -GP decentralized secondary control is developed to guarantee frequency restoration and active power sharing. An adaptive mechanism is adopted to estimate the electrical parameters so that the parameter randomness can be overcome and fast transient response, high performance, and robust stability can be achieved. Via local measurements, the decentralized framework accordingly obviates the need of any communication links for information broadcast or exchange. Finally, the comprehensive case studies are presented to validate satisfactory performance under rapid randomness and flexibility during plug-and-play operations.

Introduction:Chronic kidney disease (CKD) affects people across their lifespan. Kidney supportive care (KSC) is typically offered for older people for symptom management, education, and/or advance care planning (ACP). However, younger people may also benefit from KSC. This study sought to explore characteristics of working-age adults with CKD accessing KSC. Methods:Using a cross-sectional design, working-age adults (18–64 years) with CKD referred to a KSC service from February 2016 to July 2021 were included. Demographic and clinical data were extracted from patients’ hospital records. Self-reported symptoms (Integrated Palliative Care Outcome Scale renal [IPOS-renal]) and health-related quality of life (European quality of life [EQ-5D-5L]) were assessed. Reasons for referral to KSC, kidney replacement therapy (KRT) pathway at referral, and comorbidity calculated using the Charlson Comorbidity Index were also assessed. Results:One Hundred Fifty-six working-age adults attended the KSC service. Median age was 57 years, with more than half receiving KRT. Weakness (92.2%), poor mobility (83.3%), and pain (82.5%) were the most prevalent and severe symptoms. The majority were referred for symptom management (n= 83, 53.2%) and 27% for ACP (n= 42). The ACP completion rate was low (28.9%). Those on dialysis had significantly higher symptom scores than those not receiving dialysis (p< 0.05). Conclusion:Working-age adults with CKD experience a significant and debilitating symptom burden and need to consider options for treatment. This study provides new understanding about working-age adults with CKD that may help provide the specific support needed to meet their end-of-life care needs.

In recent years, incidents of high-frequency resonance (HFR) have been reported in Modular Multilevel Converter-based high voltage direct current (MMC-HVDC) systems. These incidents are primarily attributed to the interaction between the impedance characteristics of MMC and AC system. Additionally, complex system operating conditions and poor stability margin have introduced new HFR risks, challenging the conventional suppression methods under changeable conditions. Therefore, this paper proposes an active and passive joint damping HFR suppression method, utilizing a novel cross-coupled filter (CCF) and the improved C-type filter damper. The impedance models of the MMC and AC system are provided to reveal the mechanism of HFR and analyze the suppression methods. Based on the detailed parameter tuning, the proposed method can effectively eliminate the risk of HFR and provide sufficient phase margin, ensuring stable and robust operation performance. The effectiveness of the proposed method is verified through simulations of the MMC-HVDC system.

Motile cells inside living tissues often encounter junctions, where their path branches into several alternative directions of migration. We present a theoretical model of cellular polarization for a cell migrating along a one-dimensional line, arriving at a symmetric Y junction and extending protrusions along the different paths that originate at the junction. The model predicts the spontaneous emergence of deterministic oscillations of growth and cellular polarization between competing protrusions during the directional decision-making process. The oscillations are modified by cellular noise but remain a dominant feature that affects the time it takes the cell to migrate across the junction. These predictions are confirmed experimentally for two different cell types (non-cancerous endothelial and cancerous glioma cells) migrating on a patterned network of thin adhesive lanes with junctions.

Disassembly is an inevitable process of recycling end-of-life products and robotic disassembly sequence planning could improve disassembly efficiency. However, the missing condition of component is uncertain and it could not be pre-known before execution of disassembly process. The optimal solution should be dynamically generated according to the recognized condition during disassembly process. In this article, digital twin is utilized to solve robotic disassembly sequence dynamic planning under uncertain missing condition. First, the framework of the proposed method is studied and digital twin of robotic disassembly process is established. Afterwards, deep Q-learning network is utilized to solve the proposed problem. Finally, case studies are carried out to verify the effectiveness of proposed method. The results show the converged deep Q-learning network model could dynamically find the optimal solutions after the missing condition of component is recognized during disassembly process using less running time, compared with the other meta-heuristics algorithms.

Wild large yellow croakers are generally considered superior to farmed large yellow croakers in quality and taste. The metabolites of large yellow croakers vary because of different growth environments and dietary conditions, allowing easy differentiation of wild large yellow croakers from farmed large yellow croakers. The adulteration of wild large yellow croakers using farmed large yellow croakers in the market, which is driven by economic interests, disturbs market balance and negatively affects the trade in large yellow croakers. Therefore, the quality control (QC) of wild large yellow croakers is important for the maintenance of the market and the trade development of aquatic products. Non-targeted metabolomics based on liquid chromatography–mass spectrometry was employed in this study to clarify the differences in metabolic composition between muscle tissues of wild and farmed large yellow croakers. Results showed that the partial least squares discriminant analysis model could effectively distinguish the wild and farmed large yellow croakers without overfitting. KEGG enrichment analysis showed that the main metabolism pathways were closely associated with lipid, amino acid, carbohydrate, and vitamin-related metabolism. Overall, non-targeted metabolomics can identify and differentiate wild and farmed large yellow croakers, supporting new insights to improve the QC level of aquatic products.

In Vehicle-to-Everything (V2X) communication, the high mobility of vehicles generates the Doppler shift which leads to channel uncertainties. Moreover, the reasons for channel uncertainties also include the finite channel feedback, channel state information (CSI) loss and latency. With this concern, we formulate a joint spectrum and power allocation problem for V2X communication with imperfect CSI. Specifically, the sum capacity of cellular user equipments (CUEs) is maximized subject to the minimum Signal-to-Interference-and-Noise Ratio (SINR) requirements of CUEs and the outage probability constraints of vehicular user equipments (VUEs). Then, two different robust resource allocation approaches are designed to solve the problem. One is Bernstein Approximation-based Robust Resource Allocation approach. More specifically, Bernstein approximations are employed to convert the chance constraint into a calculable constraint, and Bisection search method is proposed to obtain the optimal allocation solution with low complexity. Then, for further reducing the computational complexity, Self-learning Robust Resource Allocation approach, which includes a learning method and an analytical mapping method, is proposed as the second approach. The learning method is devised to learn the uncertainty set which transforms the chance constraint into calculable constraints, and the analytical mapping method is proposed to obtain closed-form solutions of the resource allocation problem. Finally, the simulation results prove that the proposed approaches can improve the capacity of all CUEs effectively whilst ensuring the reliability of the channel.

Plasmonic chirality has attracted extensive attention due to its tunable and extremely large optical activity response. The chirality of multiparticles has been underexplored due to their complex interactions. Here, we experimentally manipulate gold nanoparticles of different sizes to form a chiral structure with an atomic force microscope and measure its scattering spectrum using dark-field microscopy. Meanwhile, Mie theory is applied to deeply explore the contribution of the multipole moments to the chirality. The chiral tetramer exhibits a distinct chiral response, which is consistent with Mie calculations. We also find that both the dipole and quadrupole moments of the tetramer contribute greatly to the chirality. In addition, there is a significant enhancement of the electric field and chiral field in the gaps between gold particles, which is especially useful in the measurement of the Raman optical activity and the detection of trace chiral molecules.

In this study, two tigliane diterpenoids, 12-deoxyphorbol-13-hexadecanoate and 12-deoxyphorbol-13-acetate (prostratin), were identified from the methanol extract of the roots of Euphorbia fischerianaand were found to have the ability to significantly reduce the survival of Caenorhabditis elegans. It was determined that exposure to these two compounds had toxic effects on the growth, reproduction, locomotion behavior, and accumulation of lipids and lipofuscin of the nematodes. Moreover, the transcription levels of the genes associated with lipid accumulation, apoptosis, insulin, and nuclear hormone synthesis in C. eleganswere significantly influenced. Interestingly, 12-deoxyphorbol-13-hexadecanoate produced exposure toxicity at lower concentrations than that of prostratin. Pearson correlation analysis indicates that the elevated exposure toxicity of 12-deoxyphorbol-13-hexadecanoate may be the result of differing transcription levels, which result from the differential expression of fat-6, egl-38, and cep-1. These results reveal that esterification with a long-chain fatty acid elevates the exposure toxicity of this tigliane diterpenoid, thus providing a basis for the application of tigliane diterpenoids in plant-derived nematicides.

The emergence of Industrial Internet of Things along with fog computing (FC) has brought great benefits in the industry field through real-time monitoring, resource optimization configuration, and intelligent cloud control. The deployment of fog nodes in industrial plants is the essential precondition for FC implementation. Existing works are mainly based on pregiven sensor traffic in the deployment of fog nodes, which largely ignores the stochastic uncertainty imposed by the dynamic industrial environment. In this article, without requiring a priori knowledge of the sensor traffic pattern, we establish a mathematical model based on uncertain programming to formulate the fog node location determination and the sensor association problem. Owing to the complexity of the model, we introduce a learning-based algorithm to effectively solve the problem with an acceleration mechanism. Finally, intensive simulations are implemented to verify the performance of the algorithm. The results indicate that our approach outperforms other benchmarks in terms of transmission energy on planning fog nodes in industrial plants with stochastic sensor traffic.

ABSTRACTBone defect repair is a common medical concern. In spite of various existing treatments, its management still requires improvement. Here we show that YAP, a downstream signaling of Hippo pathway, might interplay with redox oxygen species (ROS) and modulate osteoimmunology, which refers to the interaction between immune and skeletal system during bone defect repair. We modulated the ROS level of RAW264.7 cells and found YAP level was reversely regulated. Meanwhile, we detected the feedback of YAP on oxidation level. The results demonstrated that the antioxidant enzyme expression was in proportion to the YAP level of RAW264.7 cells. Additionally, indirect coculture system was applied and it indicated that RAW264.7 cells under oxidative stress could impede proliferation and migration ability of MC3T3-E1 pre-osteoblasts. Consistently, in vivo experiment verified high oxidant level slowed down mice osteogenesis during bone defect repair, while antioxidant and upregulation of YAP accelerated this process. Additionally, we established a mouse model with YAP conditional knockout in macrophages. The results identified that deficiency of YAP in macrophages negatively affected bone defect repair in vivo. In summary, our study indicated that ROS and YAP could jointly modulate osteogenesis via their effect on osteoimmunology.ABBREVIATIONS:GPX4, glutathione peroxidase 4; NAC, N-Acetyl-L-cysteine; qRT-PCR, real-time quantitative PCR; ROS, reactive oxygen species; Tb.N, trabecular number; Tb.Sp, trabecular separation.

The battlefield environment is changing rapidly, and fast and accurate identification of the tactical intention of enemy targets is an important condition for gaining a decision-making advantage. The current Intention Recognition (IR) method for air targets has shortcomings in temporality, interpretability and back-and-forth dependency of intentions. To address these problems, this paper designs a novel air target intention recognition method named STABC-IR, which is based on Bidirectional Gated Recurrent Unit (BiGRU) and Conditional Random Field (CRF) with Space-Time Attention mechanism (STA). First, the problem of intention recognition of air targets is described and analyzed in detail. Then, a temporal network based on BiGRU is constructed to achieve the temporal requirement. Subsequently, STA is proposed to focus on the key parts of the features and timing information to meet certain interpretability requirements while strengthening the timing requirements. Finally, an intention transformation network based on CRF is proposed to solve the back-and-forth dependency and transformation problem by jointly modeling the tactical intention of the target at each moment. The experimental results show that the recognition accuracy of the jointly trained STABC-IR model can reach 95.7%, which is higher than other latest intention recognition methods. STABC-IR solves the problem of intention transformation for the first time and considers both temporality and interpretability, which is important for improving the tactical intention recognition capability and has reference value for the construction of command and control auxiliary decision-making system.

A novel sprayable adhesive is established (ZnMet-PF127) by the combination of a thermosensitive hydrogel (Pluronic F127, PF127) and a coordination complex of zinc and metformin (ZnMet). Here we demonstrate that ZnMet-PF127 potently promotes the healing of traumatic skin defect and burn skin injury by promoting cell proliferation, angiogenesis, collagen formation. Furthermore, we find that ZnMet could inhibit reactive oxygen species (ROS) production through activation of autophagy, thereby protecting cell from oxidative stress induced damage and promoting healing of skin wound. ZnMet complex exerts better effects on promoting skin wound healing than ZnCl2or metformin alone. ZnMet complex also displays excellent antibacterial activity against Staphylococcus aureusor Escherichia coli,which could reduce the incidence of skin wound infections. Collectively, we demonstrate that sprayable PF127 could be used as a new drug delivery system for treatment of skin injury. The advantages of this sprayable system are obvious: (1) It is convenient to use; (2) The hydrogel can cover irregular skin defect sites evenly in a liquid state. In combination with this system, we establish a novel sprayable adhesive (ZnMet-PF127) and demonstrate that it is a potential clinical treatment for traumatic skin defect and burn skin injury.

Synchronized canoeing is a cyclically repetitive sport, and two canoeists need to work in concert with each other’s power patterns and paddle movements to achieve great results. Most of the analyses of synchronized canoeing focus on the mechanics and work output of oars. This article proposes a motion-capture method based on inertial sensors. The extended Kalman filter method is used to fuse the sensor information and reconstruct human movements. Four sets of joint angular movement data of the shoulders and elbows of two canoeists are extracted, respectively, for kinematics analysis with correlation coefficient and dynamic time warping (DTW) method. The experimental results show that there is a significant correlation ( $r=0.9605$ ) between the shoulder joint angles of the synchronized canoeists. The DTW method can also clearly analyze the posture coordination of two canoeists. According to the analysis results of upper limb kinematics, this research can evaluate the synchronization effect of synchronized canoeing from the perspective of kinematics, help canoeists improve their technical movements, and help coaches reasonably select athletes with matching skills and styles.

Digital twin (DT) is an emerging and promising enabling technology for realizing smart manufacturing and Industry 4.0. DT is featured by the high-fidelity digital replica and seamless integration of the physical world. As a systematic embodiment of DT, the concept of an asset administration shell (AAS) is a virtual digital representation of the physical asset in Industry 4.0. Both DT and AAS could be used to monitor, control, and optimize physical entities through the interactions between virtual and physical worlds. To date, much research effort has been devoted to DT and AAS applications. However, the mapping between the DT model and the AAS model was hardly considered. This paper first conducted a model mapping of DT and AAS. Based on this, this paper also proposed a DT-based Industrial Internet of Things (IIoT) architecture and explored the feasibility of developing merged DT and AAS models for a virtual simulation system. Finally, a practical use case was developed to demonstrate the merged DT and AAS model as well as the physical-virtual data interaction.

H2is clean energy and an important component of natural gas. Moreover, it plays an irreplaceable role in improving the hydrocarbon generation rate of organic matter and activating ancient source rocks to generate hydrocarbon in Fischer-Tropsch (FT) synthesis and catalytic hydrogenation. Compared with hydrocarbon reservoir system, a complete hydrogen (H2) accumulation system consists of H2source，reservoirs and seal. In nature, the four main sources of H2are hydrolysis, organic matter degradation, the decomposition of substances such as methane and ammonia, and deep mantle degassing. Because the complex tectonic activities, the H2produced in a geological environment is generally a mixture of various sources. Compared with the genetic mechanisms of H2, the migration and preservation of H2, especially the H2trapping, are rarely studied. A necessary condition for large-scale H2accumulation is that the speed of H2charge is much faster than diffusion loss. Dense cap rock and continuous H2supply are favorable for H2accumulation. Moreover, H2O in the cap rock pores may provide favorable conditions for short-term H2accumulation.

The properties of different Fe(iii) minerals vary considerably, and the mechanisms of promoting anaerobic digestion by different Fe(iii) minerals are confusing, especially as regards organics removal pathway and end-products. This study investigated how different Fe(iii) minerals affected anaerobic digestion by separately adding amorphous ferrihydrite and crystalline magnetite into the anaerobic digestion of residual sludge. The results showed that the Fe(ii) content increased rapidly to 3098.3 mg L−1on day 30 in the ferrihydrite-added group, much higher than that in the control group without adding Fe(iii) (600.3 mg L−1). More organics were removed in the ferrihydrite group compared with the control group. Fe(ii) content was nearly equal in the magnetite-added group and the control group, but more organics were removed in the former. Although ferrihydrite and magnetite both promoted organics removal, the cumulative CH4production was 23.0% lower in the ferrihydrite-added group and 19.4% higher in the magnetite-added group, compared with the control group. Microbial analysis after the experiment also showed that iron-reducing bacteria were enriched in the ferrihydrite group. Geobacterand Methanosaetawere enriched in the magnetite group, which could promote direct interspecies electron transfer (DIET) during methanogenesis. These results indicated that dissimilatory iron reduction of ferrihydrite with strong oxidation capacity was thermodynamically favored over methanogenesis, leading to methanogenesis inhibition. Dissimilatory iron reduction of magnetite with weak oxidation ability was difficult thermodynamically, but magnetite could promote methanogenesis by strengthening DIET, due to its electrical conductivity.

In this paper, the data from 2008 to 2020 of enterprises in different types of pollution industries of A-share listed companies in China are selected as samples. Through empirical demonstration, the following conclusions are drawn: First, command-based and market-based environmental regulations can effectively promote enterprises’ green innovation behavior, and command-based environmental regulations have threshold effect. Maximize the effect of green innovation within moderate intensity; otherwise, its output will be inhibited; The effect of public participation environmental regulation is not significant. Second, command-based environmental regulation, market-based environmental regulation and public-participation environmental regulation can effectively promote the improvement of enterprise environmental performance, but the good realization of environmental performance in the early stage has a restraining effect on the current value. Third, different forms of environmental regulation tools both short-term and long-term value of the enterprise has a significant role in promoting, but for the effects of long-term value is greater than the short-term profit, mainly through environmental regulation under the action of enterprise green innovation “innovation” and “first-mover advantage” and “reputation effect” of environmental performance. Fourth, under environmental regulations, enterprises’ regulation rent-seeking behavior is beneficial to enterprises’ short-term environmental performance and economic profit increase, but in the long run, it inhibits enterprises’ green innovation behavior and long-term value growth. Fifthly, by virtue of the information transmission function focused by the media, environmental regulation has a significant promoting effect on enterprises’ green innovation output, environmental performance improvement and long-term value growth, but leads to a downward trend of enterprises’ short-term profits.

We reconstruct the contrast of overfilled cavities by presenting an improved two-step learning method, which incorporates multi-frequency scattering fields and attention mechanism. The dataset of scattering fields is built with different frequencies by using Petrov–Galerkin finite element interface method based on non-body-fitted meshes. Since the shapes of various cavities and the interfaces of inhomogeneous media can share the same generating meshes, this mesh reduction method can effectively decrease the cost of mesh generation. In the proposed two-step learning method, the first step augments the data from single-frequency scattering field to multi-frequency scattering fields by a U-shaped fully connected network, which has higher accuracy and fewer computation cost. Then, we set the second step for searching the relationship between the scattering field and the property of the overfilled cavity, where the corresponding network is constructed by encoder parts and decoder parts with convolutional modules. Moreover, for demonstrating the feasibility in different situations, overfilled inhomogeneous cavities with isotropic and anisotropic media are examined in numerical examples. In comparison experiments, the proposed method can not only achieve the frequency extrapolation, but also effectively reconstruct the image contrast. In addition, when adding noise with the ratio of noise equaling 40%, the proposed method still can relatively accurately reconstruct the permittivity, which proves the anti-noise capability. [ABSTRACT FROM AUTHOR]

Hydroxyprolines are highly abundant in nature as they are components of many structural proteins and osmolytes. Anaerobic degradation of trans-4-hydroxy-l-proline (t4L-HP) was previously found to involve the glycyl radical enzyme (GRE) t4L-HP dehydratase (HypD). Here, we report a pathway for anaerobic hydroxyproline degradation that involves a new GRE, trans-4-hydroxy-d-proline (t4D-HP) C–N-lyase (HplG). In this pathway, cis-4-hydroxy-l-proline (c4L-HP) is first isomerized to t4D-HP, followed by radical-mediated ring opening by HplG to give 2-amino-4-ketopentanoate (AKP), the first example of a ring opening reaction catalyzed by a GRE 1,2-eliminase. Subsequent cleavage by AKP thiolase (OrtAB) yields acetyl-CoA and d-alanine. We report a crystal structure of HplG in complex with t4D-HP at a resolution of 2.7 Å, providing insights into its catalytic mechanism. Different from HypD commonly identified in proline-reducing Clostridia, HplG is present in other types of fermenting bacteria, including propionate-producing bacteria, underscoring the diversity of enzymatic radical chemistry in the anaerobic microbiome.

The aim of this paper is to improve the photocatalytic ability of pure BiOCl by a composite approach to solve the problem of degradation of trinitrotoluene (TNT) wastewater, which is difficult to degrade. Co3O4/BiOCl composite photocatalysts were successfully and efficiently synthesized using a combination of hydrothermal and calcination methods. The Co3O4/BiOCl composites were characterized, tested, and investigated by various complex techniques. Then, the high photocatalytic performance of the material was determined by its efficiency in degrading simulated TNT wastewater under visible light. From the above data, the possible degradation mechanism of the material in the photocatalytic system was deduced. The experimental results showed that the composite of Co3O4significantly enhanced the photocatalytic performance of BiOCl and improved the efficiency of the composites in degrading TNT wastewater under visible light. In particular, the 0.05CoBi composite exhibited optimal degradation performance, reaching a 92% degradation efficiency of the TNT wastewater within 3 h. The composite was also found to be highly efficient in the degradation of TNT wastewater. After three consecutive photocatalytic degradation cycles, the 0.05CoBi composite maintained 80% degradation efficiency. In addition, radical trapping experiments showed that O2−plays a major role, followed by h+, in the degradation of TNT wastewater by 0.05CoBi. From our experiments, we propose a photocatalytic mechanism for this material.

In recent years, ready-to-eat soft-boiled chicken eggs, with coagulated whites and semi-solid yolks have become popular among Chinese consumers due to their convenience, tender texture, and nutritional benefits. However, the standards for these products are currently inconsistent, and quality evaluation parameters and food safety issues remain unclear. Softness ratio, representing the semi-liquid yolk proportion in a cross-section, was defined through a survey of different brands of ready-to-eat soft-boiled chicken eggs. By accounting for egg weight and cooking time, optimal softness under specific conditions was determined. A quality evaluation method was established based on the softness ratio and shelling score. Finally, the safety of soft-boiled chicken eggs was assessed by measuring yolk center temperature. The optimal softness ratio was 0.46 to 0.64. Optimal cooking times in boiling water (100°C) with a 5:1 water-to-egg ratio were 300 s for 43 to 48 g eggs, 330 seconds for 48 to 53g, 350 s for 53 to 58 g, and 370 s for 58 to 63g. After cooking, eggs were cooled for 6 min in an ice water mixture with a 3:1 water-to-egg ratio. Shelling scores (0–5) depended on the egg white surface exposed post-shelling, peaking at an air cell diameter of 21.55 ± 2.26 mm. Egg weight and shelling score had a correlation of −0.41, while egg white springiness and shelling score had a correlation of 0.86. Ensuring core yolk pasteurization standards was difficult, thus stricter management or whole egg irradiation was suggested for safety.

Defensive capability is one of the essential attributes of traditional military settlements. In the Ming dynasty, coastal Wei fort was the one of the most functionally complex and wide-ranging fortifications in the military defense system of China. Because many factors affect their defensive capacities, including three dimensions: individual construction, synergistic links, and regional jurisdiction, it is not easy to compare different settlements’ defensive capacities or to judge the degrees of different factors’ influences. Through principal component analysis, this study determines the weights of each minor factor. It constructs a model for evaluating traditional Chinese military settlements’ defensive capabilities, to quantify the defensive capability. The results show that the synergistic relationship between the settlements, especially settlement accessibility, has the most significant impact on defensive capability, much higher than a single castle's defensive construction. The defensive capability index of the Wei forts in Guangdong is the highest, consistent with the highest rate of victory in the wars fought on the coast during the Ming dynasty. The defensive capacity is directly proportional to the rate of victory, which validates this evaluation model’s soundness. This study not only comprehensively evaluates the coastal Wei forts’ defensive capacity in the Ming Dynasty, but also provides new methods for the quantitative or comparative analysis of military settlements at other temporal and spatial scales.

This study investigates the impact of working clearances on the internal flow field, pressure pulsations, flow pulsations, and radial forces experienced by a hydrogen circulation pump. Numerical calculations are conducted on seven sets of distinct working clearances for the pump. The research findings demonstrate that an increase in meshing clearance and radial clearance results in higher leakage flow rate during the compression exhaust process, leading to a decrease in hydrogen circulation pump's exhaust flow rate. When the meshing clearance increases from 0.15 to 0.21 mm, the actual exhaust flow rate of the pump decreases from 37.46 to 32.73 m3h−1. Similarly, when the radial clearance increases from 0.18 to 0.24 mm, the actual exhaust flow rate of the pump decreases from 42.46 to 29.71 m3h−1. Additionally, with an increase in meshing clearance, both the radial forces Fxand Fyof the active rotor exhibit a downward trend. Yet, as radial clearance grows, the radial force Fxslightly descends, while the change trend of radial force Fyis first positive decrease and then reverse increase. The hydrogen circulating pump is an important component of the hydrogen fuel cell system, playing a crucial role in the recycling of hydrogen energy. This article investigates the impact of different clearances on pump performance . Additionally, the distribution of radial forces and pulsation characteristics between the active and driven rotors are analyzed as well.

The preparation of hydrogel adsorbents with admirable performance for efficient selective remove Pb(II) in complex wastewater still remains a great challenge. Herein, a novel bifunctional modified polymer hydrogel PAM-PAMPS was prepared by crosslinking acrylamide (AM) and 2-acrylamido-2-methylpropanesulfonic acid (AMPS). Compared with PEG, PAA and PAMPS, PAM-PAMPS exhibited both the maximum adsorption capacity of Pb(II) (541.90 mg/g) and satisfactory selectivity for Pb(II) in multiple heavy metal ions coexistence solutions. Various characterizations indicated that SO3H and NH2as active sites on PAM-PAMPS occur the synergistic effects of ion-exchange and coordination with Pb(II) during the adsorption process, respectively. The adsorption energy Ead(PAM-PAMPS)obtained from density functional theory (DFT) calculations was lower than the other three hydrogels, manifesting that PAM-PAMPS formed the most stable complex with Pb(II), which further demonstrated that Pb(II) preferred to combine with PAM-PAMPS to selective capture of Pb(II). The practice utilization of PAM-PAMPS was assessed by wastewater of electroplate containing Pb(II). Meanwhile, the removal ratio of PAM-PAMPS was maintained at about 89% after 4 adsorption-desorption cycles. This study establishes a new and effective idea for the design and fabrication of bifunctionalized modified polymer hydrogels.

Chlorite is often associated with hematite and tends to form microfine particles during grinding, making it challenging to recover and separate from hematite through flotation. This study innovatively applies an ester-based cationic polyacrylamide (CPAM) as a flocculant in a reverse flotation system using dodecylamine (DDA) as a collector, to flocculate and recover microfine-grained chlorite. The method achieves efficient separation between microfine chlorite and hematite. Laser particle size testing and optical microscopy show that CPAM significantly increases the apparent particle size of microfine chlorite, causing it to aggregate into flocs, while having a extremely weak effect on hematite flocculation. Further analysis using techniques like Zeta potential, contact angle measurement, Fourier-transform infrared (FTIR), and X-ray photoelectron spectroscopy (XPS) reveals CPAM's stronger adsorption affinity for chlorite compared to hematite. The ester groups in CPAM selectively form hydrogen bonds with chlorite's surface H atoms, enhancing its hydrophobicity. Particle-bubble attachment angle testing confirms that the flocculated chlorite flocs exhibit better floatability and higher efficiency in collision and adhesion with bubbles. Thus, CPAM serves as an efficient flocculant for reverse flotation separation of microfine chlorite and hematite.

Plant pathogenic fungi are able to utilize the principal metabolites of their hosts, which is one reason pathogens can so seriously harm the plants, although the mechanisms behind this utilization are not always clear. Valsa malivar. maliis a pathogenic fungus specific to the plant genus Malus. The fungus can seriously endanger apple crops and has caused serious economic losses. Phlorizin (1), the principal component in the stems, roots, and leaves of Malus pumilaand M. sieversii, was able to promote spore germination of Valsa malivar. mali(Vmm-30) significantly over 120-168 h in a non-nutritional suspension. Compared with the control, the concentrations of nine phenolic compounds (3–11) in the stems of M. pumilaincreased after inoculation with Vmm-30. Moreover, compounds 3, 4, and 9–11were able to promote the germination of Vmm-30 spores over 24–36 h, which was a significantly shorter time than that of phlorizin. High-performance liquid chromatography with diode-array detection (HPLC-DAD) and ultraperformance liquid chromatography with tandem mass spectrometry (UPLC–MS/MS) analyses further suggested that compounds 2–11were the degradation products of phlorizin (1) and are produced through carbon oxidation cracking, decarboxylation, and oxidation reactions. This suggests that the degradation of phlorizin is able to effectively promote the growth of Vmm-30. The Vmm-30 strain is therefore able to utilize the principal metabolite phlorizin to generate a series of degradation products, which further promote its germination and the infection of its host plants in the genus Malus.

Copper-cysteamine as a new generation of sensitizers can be activated by light, X-rays, microwaves, or ultrasound to produce reactive oxygen species. X-ray induced photodynamic therapy (X-PDT) has been studied extensively; however, most of the studies reported so far were conducted in the laboratory, which is not conducive to the clinical translation conditions. In this contribution, for the first time, we investigated the treatment efficiency of copper-cysteamine (Cu-Cy) based X-PDT by mimicking the clinical conditions with a clinical linear accelerator and building deep-seated tumor models to study not only the effectiveness but also its effects on the cell migration and proliferation in the level of the cell, tissue, and animal. The results showed that, without X-ray irradiation, Cu-Cy nanoparticles (NPs) had a low toxicity in HepG2, SK-HEP-1, Li-7, and 4T1 cells at a concentration below 100 mg/L. Interestingly, for the first time, it was observed that Cu-Cy mediated X-PDT can inhibit the proliferation and migration of these cell lines in a dose-dependent manner. Antigen markers of migration and cell proliferation, proliferating cell nuclear antigen (PCNA) and E-cadherin, from tumor tissue in the X-PDT group were remarkably different from that of the control group. Furthermore, the MRI assessment showed that the Cu-Cy based X-PDT inhibited the growth of deeply located tumors in mice and rabbits (p < 0.05) without any obvious toxicities in vivo. Overall, these new findings demonstrate that Cu-Cy NPs have a safe and promising clinical application prospect in X-PDT to improve the efficiency of radiotherapy (RT) for deep-seated tumors and effectively inhibit tumor cell proliferation and migration.

Lacustrine shale is an important target for the exploration of unconventional oil and gas in China beyond marine shale gas. However, the formation environment of lacustrine shale differs from that of marine shale, resulting in a different reservoir composition, organic matter, oil and gas content, and hydrocarbon mobility. In this study, the Chang 7 shale of the Yanchang Formation in the Ordos Basin was used to analyze the effect of volcanic activity on the paleoproductivity and preservation conditions during the formation of lacustrine shale. The results show that algae and bacteria were developed before the eruption. After the eruption, the number of bacteria declined, but the increased prosperity of algae reflects that the volcanic activity enhanced ancient productivity. The sulfate generated by volcanic activity promotes bacterial sulfate reduction, and the produced H2S leads to a strong reducing environment in the waterbody, which is conducive to the preservation of organic matter. Organic geochemical analysis shows that the black shale in the shale strata has a high total organic carbon (TOC) content and strong hydrocarbon generation potential, whereas the tuff has a low TOC content and can scarcely generate hydrocarbons, indicating that the tuff deposited by volcanic activity cannot be considered as effective source rock. In terms of storage space, shale is mainly laminar and dispersed, and it includes organic and inorganic pores. The development of organic pores is affected by thermal maturity, whereas inorganic pores mainly occur between detrital particles and crystals. Tuff is mainly supported by heterogeneous matrix and associated with alteration. Its pores include inter- and intragranular mineral pores. The development of tight sandstone pores is affected by compaction, cementation, and dissolution, which mainly consist of intra- and intergranular pores. The Chang 7 lacustrine shale generally contains oil, but different lithologies have different oil drainage efficiencies. Sandstone and shale exhibit the best and worst oil drainage efficiency, respectively. It is mainly affected by the pore size distribution, fluid properties, and rock wettability. Therefore, the development of shale oil should mainly focus on lacustrine shale formations with interbeds. The mutual dissolution of organic matter and hydrocarbons in the shale section leads to the poor mobility and difficult development of hydrocarbons.

ABSTRACTDeep vein thrombosis (DVT) is common in patients following gynecological surgery. Coagulation factor VIII (FVIII) is an important part of the human coagulation system, and FVIII:C is a component of FVIII with anticoagulant activity. 800 patients who underwent gynecological surgery were enrolled. General clinical data were harvested, and pre – and postoperative serum FVIII levels were determined. Lower-extremity ultrasound examination and/or postoperative pulmonary angiography were performed. Related data were analyzed statistically. DVT was the first manifestation of venous thromboembolism in all cases. There were a total of 46 cases, and the incidence of DVT was 5.8%. Progression to pulmonary embolism was confirmed in 16 cases, with an incidence of 2.0%. The independent risk factors for DVT after gynecological surgery were postoperative FVIII:C levels (odds ratio [OR] = 1.01), age (OR = 6.57), and operation time ≥3 hours (OR = 2.90) (P< 0.05). When the FVIII:C level was greater than the 75th centile (≥150 IU/dL), the risk of DVT was 2.99 times higher than that below the 25th centile (<100 IU/dL) (P< 0.05). When combined with the risk factor of operation time ≥3 hours, the risk increased to 3.17 times (P= 0.10). When combined with age ≥60 years, the risk was significantly increased, reaching 12.0 times (P< 0.05). Serum FVIII:C levels are an independent risk factor for DVT after gynecological surgery. Higher levels increase the risk of DVT after gynecological surgery, and they may have a dose-dependent relationship. A synergistic effect exists in combination with other risk factors, which further increases the risk.

Realizing simultaneous antiwater and anti-oil-fouling adhesion is extremely challenging owing to the solvated overlayer on the surface of substrates. Herein, we develop a supertough polyacrylate-based tape bearing SiO2as a reinforcing filler and a solvent to liquefy the surface. The SiO2reinforcement enhances the cohesion strength, while the liquefied surface not only expels the solvated overlayer but also improves the interfacial wettability and interaction. This material design imparts the double-sided tape with admirable antiwater and anti-oil-fouling adhesion performance, which far exceeds that of commercial tapes, as well as high transparency and long-term stability. In addition, we carry out an in-depth study on the adhesive mechanism for the tape and clarify the role of the solvent and the interaction between SiO2and a polymer matrix. This work provides a novel strategy for designing antiwater and anti-oil-fouling adhesives with wide applications in various fields such as leakage repair, antiseep, underwater adhesion, building materials, and biological adhesives.

As the most successful therapy for missing teeth, dental implant has become increasingly prevalent around the world. A lot of papers have reported diverse local risk factors affecting the success and survival rate of dental implants, either for a short or a long period. However, there are also many types of systemic disorders or relatively administrated medicine that may jeopardize the security and success of dental implant treatment. Additionally, the coronavirus disease 2019 pandemic also poses a challenge to dental implant clinicians. Some of these risk factors are clinically common but to some extent unfamiliar to dentists, thus optimal measurements are often lacking when they occur in dental clinics. In this review, we analyze potential systemic risk factors that may affect the success rate of dental implants. Some of them may affect bone mineral density or enhance the likelihood of local infection, thus impeding osseointegration. Others may even systemically increase the risk of the surgery and threaten patients’ life. In order to help novices receive high‐risk patients who need to get dental implant treatment in a more reasonable way, we accordingly review recent research results and clinical experiments to discuss promising precautions, such as stopping drugs that impact bone mineral density or the operation, and addressing any perturbations on vital signs. Review of potential systemic risk factors in dental implant therapy, including advice for novice clinicians.

ABSTRACTThe digital twin-based manufacturing system is a typical representative of smart manufacturing and has a number of advantages beyond the state of the art. However, when a manufacturing system needs to be reconfigured to meet new requirements of production, manual reconfiguration is time-consuming and high labor cost because of the complexity of the digital twin-based manufacturing system and the imperfection of related models. This problem will be even worse if there are industrial robots with characteristics of complex functions and inflexible programming in the manufacturing system. This paper presents a five-dimensional fusion model of a digital twin virtual entity for robotics-based smart manufacturing systems to support automatic reconfiguration, which can not only realistically describes physical manufacturing resources, but also represents the capabilities and dependencies of the digital twins. Reconfigurable strategies based on service function blocks, which can improve the reusability of functions and algorithms, are proposed to make the robotics-based manufacturing system satisfy the various reconfigurable requirements of different granularities and goals. Finally, a prototype system is developed to demonstrate the performance of the reconfigurable digital twin-based manufacturing system, which can improve the operation efficiency of such systems for carrying out the reconfiguring production tasks in a flexible way.

In this paper, the global stability of coupled control systems (CCSs) is discussed. Assembling the energy of each vertex system with the help of graph theory, a systematic method for constructing a global Lyapunov function of CCSs is proposed. Then, two kinds of stability criteria by Lyapunov-type theorem and coefficient-type theorem with the condition of the system topology are derived. Subsequently, the theoretical results are applied to the microgrid and the criterion of global asymptotical stability of the microgrid is developed. Meanwhile, based on the actual demand of the microgrid, the secondary frequency distributed consistency sliding mode control of the microgrid is proposed using the consensus algorithm. In the presence of a time-varying load, the control can not only quickly stabilize the frequency at the equilibrium point but also dynamically achieve active power sharing. Finally, the simulation of an islanded microgrid is conducted to test the validity and feasibility of our results. [ABSTRACT FROM AUTHOR]

Despite recent advances in bioinspired underwater adhesives, achieving tough, fast, and stable adhesion in aqueous environments is still challenging. Here, an underwater super-tape with semi-interpenetrating polymer networks (SIPNs) and a water-repelling liquid surface is synthesized. In the SIPN, the linear chains easily diffuse to adapt to the adherends, and the cross-linked chains provide the super-tape with high dimensional stability. Meanwhile, both the linear and cross-linked chains bear many catechol groups, which can not only vigorously interact with the adherends but also form numerous hydrogen bonds serving as sacrificial bonds in the SIPN. Thus, the super-tape shows both high interfacial adhesion and cohesive energy. Moreover, the super-tape is covered with a water-repelling liquid surface by spraying it with traces of a hydrophobic solvent. It is demonstrated that the hydrophobic solvent absorbed on the surface of the super-tape can remove water between the tape and adherends, enabling their intimate contact to form a strong interaction. As such, the super-tape shows excellent instant adhesion property under water, and the adhesive strength and toughness increase with time and reach their maximum values at around 5 h. The maximum debonding energy of the super-tape reaches 3933 J m–2, which is much higher than those of existing double-sided tapes.

Purpose: The increased social and economic burdens make osteoporosis in men an emerging public health issue. However, the quality of life among men with osteoporosis is still unclear. This systematic review and meta-analysis aimed to evaluate the health-related quality of life (HRQoL) among men with osteoporosis or osteoporotic fracture. Methods: PubMed, EMBASE, and the Cochrane Library database were systematically searched from inception to May 2021. Studies were included if they used validated questionnaires to measure HRQoL among osteoporotic men. A meta-analysis was performed using a random-effects model or fixed-effects model to calculate the standard mean difference (SMD) or mean difference (MD) with 95% confidential interval (95% CI). Results: 14 studies involving 6338 male participants were chosen for systematic review, of which 10 were included in the meta-analysis. Men with osteoporosis had poorer global HRQoL and multiple dimensions of HRQoL than men without osteoporosis. Hip fracture, vertebral fractures, or wrist fractures dramatically impaired HRQoL of men, and physical function was declined even before hip fracture (SMD = −0.60, 95% CI, −0.82 to −0.39). Femoral and lumbar BMD was positively correlated with HRQoL, and a number of fragility fractures and time since fracture had negative effects on HRQoL. Effective anti-osteoporotic drugs could improve HRQoL of men. Conclusion: The health-related life quality of men was significantly impaired by osteoporosis and fracture of the hip, vertebral, or wrist. We should pay more attention to the diagnosis and treatment of male osteoporosis to improve the life quality of men.