Dual probabilistic linguistic preference relations (DPLPRs) effectively capture diverse preferences of decision-makers (DMs) by considering both membership degree (MD) along with nonmembership degree (NMD) for various evaluation criteria. The introduction of a group consensus mechanism can effectively coordinate the differences in opinions among different DMs, thereby making the decision results more reliable. The selection of a green battery supplier (GBS) involves assessing and choosing environmentally sustainable battery suppliers amid numerous complex and uncertain factors, which complicates the evaluation process. This paper studies a consensus-based group decision-making (GDM) method utilizing DPLPRs and applies it to the critical problem of GBS selection. First, multiplicative consistency is defined for DPLPRs. A convergent local consistency improvement algorithm is proposed, which adjusts the DPLPR from unacceptable multiplicative consistency to acceptable multiplicative consistency while maintaining the original evaluation information to the greatest extent. Second, the similarity measure and group consensus measure for DPLPRs are expressed. On this basis, a convergent consensus-reaching strategy is designed. The developed algorithm iteratively modifies the DPLPRs exhibiting the lowest alignment with others, guiding the group toward a consensus over time. Finally, by integrating the consistency improvement algorithm and the consensus reaching strategy, a GDM with DPLPRs is proposed. Its effectiveness in the selection of GBS is analyzed and compared with other existing approaches.

Excessive inflammation drives organ dysfunction and high mortality in life-threatening conditions such as sepsis. Baicalein, a bioactive flavonoid, possesses well-recognized anti-inflammatory properties, yet its molecular targets in macrophages and potential systemic immunomodulatory effects on peripheral blood immune cells under hyperinflammatory conditions remain poorly characterized. Our previous studies demonstrated that baicalein alleviates hepatic inflammation in mice with non-alcoholic fatty liver disease (NAFLD) and inhibits NF-κB nuclear translocation in RAW264.7 macrophages. Here, by integrating network pharmacology, molecular docking, bulk RNA sequencing of macrophages, and single-cell RNA sequencing of peripheral blood from sepsis patients, we identified JAK2, SRC, TP53, MAPK3, AKT1, HSP90AA1, and ESR1 as potential core targets of baicalein in macrophages, and validated that the JAK2-STAT3 and NF-κB pathways might be the key downstream regulatory axes of its anti-inflammatory effects. Furthermore, we revealed that baicalein may modulate, based on single-cell expression signatures, the inflammatory phenotype of multiple peripheral blood immune cell populations, including monocytes, T cells, B cells, and granulocyte-monocyte progenitors, suggesting a potential systemic anti-inflammatory effect that requires experimental validation in human cells. Collectively, our findings elucidate the potential molecular targets of baicalein in macrophages and its multi-cellular immunoregulatory mechanisms under hyperinflammation, providing novel mechanistic insights for the clinical application of baicalein in inflammatory diseases.

e24099 Background: Hormone receptor-positive breast cancer is the most common cancer among women globally. Adjuvant endocrine therapy (AET) is a key treatment that reduces the risk of recurrence and improves survival rates. However, medication adherence remains a significant challenge, influenced by multiple factors. Existing research often focuses on measuring the effectiveness of interventions but tends to overlook the contextual and mechanistic aspects that influence their success. Objective: This study aims to explore how to optimize adherence interventions for breast cancer patients undergoing AET, analyze the mechanisms and contextual factors involved, and verify the effectiveness of these interventions through clinical practice. Methods: The study uses Realist Synthesis (RS) methodology, analyzing the ICAMO model (Intervention-Context-Actors-Mechanism-Outcomes) to understand the mechanisms behind adherence interventions. Data was integrated from systematic literature reviews, expert interviews, and stakeholder feedback to identify the key mechanisms driving successful outcomes and evaluate their effectiveness in promoting AET adherence. The evidence was then translated into clinical practice through an evidence-based clinical translation model to validate the intervention’s effectiveness. Results: The findings from the RS revealed that key mechanisms for improving adherence include enhancing patient beliefs about treatment efficacy, improving symptom management, providing behavioral cues, and offering emotional and social support. Contextual interventions tailored to individual patient needs and specific circumstances were found to be more effective than generalized approach. Particularly, interventions combining psychological support and symptom management had a greater impact on long-term adherence. Clinical practice verification showed that personalized interventions and regular follow-ups significantly improved adherence. The interventions included regular medication reminders, education on side effects, psychological support, and enhancing patient self-efficacy. Continuous involvement of healthcare providers and emotional support played a critical role in improving adherence. Conclusions: The application of the ICAMO model integrates various intervention strategies into a comprehensive framework, providing a holistic solution for improving AET adherence in breast cancer patients. By focusing on the mechanisms and contextual factors influencing adherence, the implementation of personalized and multi-layered intervention strategies plays a crucial role in enhancing medication adherence, ultimately improving patient outcomes in breast cancer care. This study provides important insights for optimizing clinical practice and policy recommendations. Clinical trial information: IRB#2021-07-05.

To address the limitations of conventional sodium silicate coatings-high water solubility, poor adhesion, and single functionality, this study introduces a three-stage gradient strategy of "molecular bridging-micropore filling-functional coupling." Using a sodium silicate solution as the base material, a sodium silicate-polyvinyl alcohol composite coating was prepared via organic-inorganic hybridization. Further, the modified coating was strengthened by introducing nano-SiO2 modified with silane coupling agent KH550, thus constructing a high-performance water-based composite coating system. Results show that through the molecular regulation of KH550, spatial orientation of its organic and inorganic ends is achieved, effectively suppressing nano-SiO2 agglomeration and establishing a molecular-level connection at the wood-coating interface; Nano-SiO2 fill coating micropores, significantly increasing cross-linking density and mechanical properties; Through the synergistic effect of the Nano-SiO2/PVA/2NH2-PDMS composite system, a "rigid Si-O-Si and type siloxane" dual-network structure is constructed, addressing the shortcomings of traditional coatings being hard and brittle; The composite exhibits outstanding performance: enhanced mechanical properties (wear resistance: 0.083 g/r, hardness: 6H), adhesion meeting Grade 1 standard, essentially no residual contamination from cola, soy sauce, or sesame oil, and rapid, smokeless self-extinguishment. It fully meets application requirements in furniture, interior decoration, and construction, offering a new approach for high-value utilization of bio-based materials.

Asthma is a classical inflammation-related disease, and its pathogenesis is closely associated with mitochondrial dysfunction and mitophagy. Although Anemoside B4 (AmB4) exhibits anti‑inflammatory properties in various diseases, its role in regulating mitochondrial dysfunction-related mitophagy in asthma remains unknown. In vivo and in vitro asthma models were constructed using house dust mite (HDM)-stimulated BALB/c mice and HDM-treated BEAS-2B cells. Hematoxylin and eosin and periodic acid–Schiff staining were used for the pathological examination of lung tissues. Mitophagy-related proteins were assessed by Western blotting and immunofluorescence. Mitochondrial membrane potential (MMP) and reactive oxygen species (ROS) levels were measured using JC-1 and DCFH‑DA assays, respectively. Mitochondria was observed by transmission electron microscopy. Cytokine concentrations were determined by ELISA. The mito‑Keima reporter was employed to directly quantify mitophagy and analyzed by flow cytometry. The effect of KAT2B on IRF3 protein stability was determined by cycloheximide chase assay. The ubiquitination of IRF3 was assessed by immunoprecipitation. Intermolecular interactions were analyzed using co-immunoprecipitation, chromatin immunoprecipitation, and dual-luciferase reporter assays. The results illuminated AmB4 alleviated asthma by downregulating KAT2B expression, thereby ameliorating mitochondrial dysfunction and suppressing mitophagy in vivo. Furthermore, AmB4 increased the MMP of BEAS-2B cells and reduced levels of ROS, LC3B, and Tomm20 via KAT2B inhibition. Mechanistically, KAT2B promoted the lysine acetylation of interferon regulatory factor 3 (IRF3) at K315, and IRF3 enhanced PTEN-induced putative kinase 1 (PINK1) expression by binding to its promoter. Additionally, AmB4 inhibited mitochondrial dysfunction-related mitophagy by targeting the KAT2B/IRF3/PINK1 axis, thereby alleviating asthma. Specifically, AmB4 suppressed IRF3-mediated PINK1 transcription by inhibiting KAT2B-dependent acetylation of IRF3 at K315, thereby ameliorating mitochondrial dysfunction and suppressing mitophagy, which ultimately improved asthma symptoms.

Chronic atrophic gastritis (CAG) is a precancerous lesion that marks a critical stage for preventing gastric cancer progression, yet targeted therapies remain limited. This study evaluated the therapeutic effects and mechanisms of Hericium erinaceus polysaccharide (HEP) in a mouse model of CAG. Comprehensive physicochemical characterization (HPLC, FT-IR, HPGPC, NMR, methylation analysis) identified core structural features of HEP as a highly branched acidic heteropolysaccharide containing five major monosaccharides. Network pharmacology predicted 44 CAG-related targets of HEP, with IKBKB (encoding IKKβ, the catalytic subunit of the IKK complex) prioritized as a main candidate. Molecular docking predicted favorable binding interactions between representative HEP oligosaccharide fragments and IKKβ. In vivo, HEP alleviated gastric mucosal injury, reduced pro-inflammatory cytokines (TNF-α, IL-1β, IL-6) and MDA, elevated SOD activity, and suppressed TLR4/MyD88/NF-κB overactivation. Mechanistically, HEP stabilized the NF-κB p65/IκBα interaction, blocking DCA-induced p65 nuclear translocation; loss-of-function assays validated IKKβ as the important functional target. Bulk transcriptomics and reanalysis of a public single-cell RNA-seq dataset revealed regulatory pathways and cell-type-specific expression of HEP candidate targets in the gastric microenvironment, notably genes involved in cytoskeletal remodeling and calcium homeostasis. Collectively, these findings demonstrate that HEP exerts gastroprotective effects against CAG through coordinated anti-inflammatory, antioxidant, and structure-dependent NF-κB inhibitory actions, supporting its potential as a promising natural agent for CAG intervention.

Traditional mesoporous materials and metal-organic framework (MOF) materials encounter bottlenecks such as small particle size, difficulty in recovery, and low mechanical strength in practical applications, which significantly limit their engineering applications in complex water containing-Hg(II) environments. In this study, a new composite membrane (CS/PVA/MIP-203-S) was prepared by electrospinning technology with chitosan (CS), polyvinyl alcohol (PVA), and thiol-functionalized MOF (MIP-203-S) for efficient Hg(II) removal. The composite membrane exhibited a multilayered porous structure, high thermal stability and uniform MOF dispersion. The removal rate of CS/PVA/MIP-203-S for Hg(II) was 96.2% under static conditions when the initial Hg(II) concentration, pH, adsorption temperature and time were 50 mg/L, 4, 298 K and 120 min, respectively. Moreover, the electrospun membrane showed excellent selectivity, reusability (over 88% efficiency after 5 cycles), and adaptability to wide pH range. This adsorption material follows pseudo-second-order kinetics and Langmuir models, with XPS confirming HgS coordination as the primary mechanism. The corresponding maximum adsorption capacity could reach 512.5 mg/g. The composite membrane combines the efficient chemical adsorption characteristics of MIP-203-S, and effectively overcomes the limitations of traditional mesoporous materials in practical applications. This work demonstrates the electrospun membrane's strong potential for industrial wastewater remediation as environmentally friendly adsorbent.

To meet the growing demand for solid wood products and efficiently utilize artificial forest resources while protecting natural forests, this study addresses the issues of low density, poor dimensional stability, and inferior water resistance and durability in fast-growing Chinese fir wood. The study uses non-toxic sodium silicate (SS), formaldehyde-free waterborne epoxy resin (WEP), and polyamide-amine dendritic macromolecules (PAMAM) as impregnation agents to prepare composite-modified wood. The findings show that the WEP+PAMAM impregnation system reduces the hydroxyl content in the wood, promotes the formation of Si-O-Si structures, and creates a dual-network interconnected structure. Through Si-O-C connections, the epoxy-amine network created by WEP and PAMAM is connected to the polysilicate network created by SS in the wood. The wood treated with SS/(WEP+PAMAM) composite has much better mechanical and water-resistant qualities. When compared to untreated wood, the hardness, longitudinal compressive strength, and bending strength all improve by 114.92 %, 98.05 %, and 91.96 %, respectively. When compared to SS treated wood, the anti-swelling efficiency (ASE) increases by 95.87 % after 14 days, while the leaching ratio (WLR) and water absorption rate (WAR) fall by 37.52 % and 14.67 %, respectively. This modification process offers a novel way to use fast-growing Chinese fir wood as a high-performance wood material by resolving the problems of chemical loss and poor dimensional stability in SS-modified wood.

Objective: To explore the perspectives of healthcare professionals involved in the reproductive management of young women with breast cancer based on social-ecological systems. Methods: A descriptive qualitative study was conducted. Purposive sampling was used to select 15 healthcare professionals from breast cancer specialties between January and June 2024. Face-to-face in-depth interviews were conducted. Interview data were analyzed using Colaizzi's content analysis method. Results: Three themes emerged from the data: the reproductive decision-making process needs to involve multiple parties; multiple supports should be provided during reproductive management; and reproductive management requires multi-system preparedness. Conclusions: From the patient's perspective, we should respect their will, consider family decisions, and strengthen learning abilities. From the professionals'perspective, we should improve the reproductive management awareness of healthcare professionals, their professional learning ability and their cancer reproductive consultation and communication abilities. At the organizational level, social resources could be integrated to provide multidisciplinary information and multi-dimensional emotional support to promote smooth reproductive decision-making in young patients with breast cancer to improve their quality of life.

This paper is devoted to studying time decay estimates of the solution for Beam equation (higher order type wave equation) with a potential $$u_{t t}+\big(\Delta^2+V\big)u=0, \,\ u(0, x)=f(x),\ u_{t}(0, x)=g(x)$$ in dimension three, where $V$ is a real-valued and decaying potential on $\R^3$. Assume that zero is a regular point of $H:= \Delta^2+V $, we first prove the following optimal time decay estimates of the solution operators \begin{equation*} \big\|\cos (t\sqrt{H})P_{ac}(H)\big\|_{L^{1} \rightarrow L^{\infty}} \lesssim|t|^{-\frac{3}{2}}\ \ \hbox{and} \ \ \Big\|\frac{\sin(t\sqrt{H})}{\sqrt{H}} P_{a c}(H)\Big\|_{L^{1} \rightarrow L^{\infty}} \lesssim|t|^{-\frac{1}{2}}. \end{equation*} Moreover, if zero is a resonance of $H$, then time decay of the solution operators above also are considered. It is noticed that the first kind resonance does not effect the decay rates for the propagator operators $\cos(t\sqrt{H})$ and $\frac{\sin(t\sqrt{H})}{\sqrt{H}}$, but their decay will be dramatically changed for the second and third resonance types.

Objectives:This study aims to understand the current status of knowledge, health beliefs, and behavior related to osteoporosis prevention in patients with breast cancer during endocrine therapy and to analyze its influencing factors. Methods:From December 2022 to June 2023, convenience sampling was used to investigate patients with breast cancer receiving endocrine therapy in a Class III Grade A hospital in Shanghai using the general information questionnaire, Osteoporosis-Related preventive Behavior Questionnaire, Osteoporosis Knowledge Questionnaire (OKT), and Osteoporosis Health Belief Scale (OHBS). Results:Four hundred thirty-five questionnaires were distributed, and 403 valid questionnaires were collected, with an effective recovery rate of 92.6%. OKT failed in 282 cases (70.0%), and the standard score was (52.53 ​± ​12.01). The standard score of OHBS was (72.46 ​± ​5.79). The results of univariate analysis showed that age was negatively correlated with daily sunshine time. It was positively correlated with calcium/vitamin D supplementation and bone mineral density measurement. Multiple linear regression analysis showed that age and education level influenced OKT and OHBS scale scores (P ​< ​0.05). Pearson correlation analysis showed a significant positive correlation between OKT and OHBS (P ​< ​0.05). Conclusions:Patients with breast cancer with endocrine therapy have poor knowledge of osteoporosis and low levels of health belief, and most of them have wrong prevention behaviors.

Wood is widely used in home, construction and other fields, but the problems of easy corrosion of wood, poor flame retardant, low hardness limit the scope of use of wood. Therefore, in this study, we prepared the coating by a simple one-pot sol-gel method, modified silicate (water glass) by introducing green non-toxic organic polymer with sodium silicate solution (water glass) as the base material, and used polyvinyl alcohol (PVA) and aminopropyl double-ended polydimethylsiloxane (2NH(2)-PDMS) as the modifier. Triton X-100 as dispersant and ethyl acetate as curing agent were used to prepare three-dimensional crosslinked network structure (C-O-Si-OH-NH2) sodium silicate composite coating. When exposed to flame, the non-combustible carbon layer formed by the three-dimensional network crosslinked structural coating can act as a strong fire barrier for the substrate, and the flame-retardant performance is far better than other coatings. The resulting coating LOI value exceeds 95 %, and cone calorimetry results show that, compared to uncoated wood, sodium silicate composite coating, the peak heat release rate (PHRR), total heat release rate (THR), smoke emission rate (SPR), total smoke emission rate (TSR) and CO2 production rate were decreased by 96.6 %, 46.7 %, 96.2 %, 47.1 % and 91.7 %, respectively, and TTI was extended by 252 seconds. In addition, the gel rate (water resistance) of the silicate composite coating increased from 0 % to 61 %, flexibility changes from the curvature radius R>7.5 mm to R=5 mm, the hardness reached 5 H, and the brightness (L*) of the wood coating reached 75. From the above results, by overcoming the shortcomings of traditional sodium silicate coating in water resistance and poor flexibility, this paper innovates a water-resistant, flexible and expandable flame-retardant coating, which provides a new idea for further research on the design and manufacture of a new type of highly efficient, environmentally friendly, transparent and colorless water-resistant flexible and expandable flame-retardant sodium silicate coating.

Solid–liquid phase change materials (PCMs) are capable of absorbing and releasing heat through a reversible phase change process, playing a significant role in thermal protection and energy conservation in smart buildings. However, challenges such as liquid leakage and subsequent declines in mechanical properties persist. Here, a wood‐form‐stable phase change composite (DWTP) is reported, created by regulating the self‐assembly of multi‐active site polyethylene glycol and in situ mineralization. The DWTP features a multi‐scale network formed by gradient hydrogen bonding between cellulose molecules and Si─O─Si/PEG, demonstrating a high enthalpy of 94.73 J g −1 and outstanding mechanical tensile strength of 134.42 MPa—the highest reported for any PCM to date. Additionally, this DWTP can support loads exceeding 110 times its weight without deformation and leakage when heated above its phase transition temperature. Following 50 thermal‐cold cycles, the DWTP retains 97.3% of its phase change performance. Outdoor thermal management tests verify that the DWTP cabin achieves a maximum sub‐ambient temperature reduction of 14.1 °C in conditions with an ambient temperature of 50 °C. This biomass DWTP represents a significant advancement in the design of next‐generation sustainable thermal management materials.

Wood, as an environmentally friendly and renewable resource, is widely utilized but faces critical safety and durability challenges due to its inherent flammability and dimensional instability. These limitations severely compromise product lifespan, public safety, and broader applications in construction and industrial fields. To address these issues, we propose a catalytic polymerization strategy by integrating sodium silicate and furfuryl alcohol (FA) into fast-growing wood, enhancing its mechanical strength, dimensional stability, flame retardancy, and smoke suppression properties. Maleic anhydride was innovatively employed as a dual-functional agent, simultaneously catalyzing FA polymerization and acting as a curing agent for sodium silicate fixation. This synergistic polymerization and crosslinking mechanism significantly improved the wood's comprehensive performance: thermal stability retention reached 96.97 %, peak heat release rate (PHRR) decreased by 40.7 %, total smoke production (TSP) reduced by 35.3 %, surface hardness increased by up to 95.9 %, and chemical leaching decreased by 23.9 %. Efficient fixation of active components achieved 70.3 % anti-swelling efficiency after water immersion. Our cost-effective strategy produced non-shrinkage modified wood with enhanced durability, strength, and fire resistance, while preserving dimensional integrity. The Si-FA system demonstrates a scalable solution for developing high-performance materials, offering transformative potential for diverse industrial applications through sustainable wood modification.

The histopathological image classification method, based on deep learning, can be used to assist pathologists in cancer recognition in colon histopathology. The popularization of automatic and accurate histopathological image classification methods in this way is of great significance. However, smaller medical institutions with limited medical resources may lack colon histopathology image training sets with reliable labeled information; thus they may be unable to meet the needs of deep learning for many labeled training samples. Therefore, in this paper, the colon histopathological image set with rich label information from a certain medical institution is taken as the source domain; the colon histopathological image set from a smaller medical institution with limited medical resources is taken as the target domain. Considering the potential differences between histopathological images obtained by different institutions, this paper proposes a classification learning framework, namely unsupervised domain adaptation with local structure preservation for colon histopathological image classification, which can learn an adaptive classifier by performing distribution alignment and preserving intra-domain local structure to predict the labels of the colon histopathological images from institutions with lower medical resources. Extensive experiments demonstrate that the proposed framework shows significant improvement in accuracy and specificity of colon histopathological images without reliable labeled information compared to models without unsupervised domain adaptation. Specifically, in an affiliated hospital in Fuyang City, Anhui Province, the classification accuracy of benign and malignant colon histopathological images reaches 96.21%. The results of comparative experiments also show promising classification performance of our method in comparison with other unsupervised domain adaptation methods.

The present study aims to elucidate the potential therapeutic role of lncRNA XIST in gastric cancer through regulation of microRNA-132 (miR-132) and paxillin (PXN) expression. The study employed 65 gastric cancer tissue specimens and SGC7901 cell lines. Our results demonstrated that expression of lncRNA XIST and PXN was significantly elevated while the expression of miR-132 was significantly reduced in gastric cancer tissues. Dual-luciferase, RNA pull-down and RIP assays demonstrated that lncRNA XIST up-regulated the PXN expression by competitively binding to miR-132. Moreover, silencing of lncRNA XIST and up-regulation of miR-132 could suppress tumor formation ability, cell proliferation and migration, but enhanced apoptosis in gastric cancer. However, the overexpression of PXN achieved the opposite tumor-promotive effect. Meanwhile, rescue experiments suggested that silencing of lncRNA XIST could reverse the tumor-promotive effect exerted by either miR-132 inhibitor or PXN. Taken together, the present study demonstrates lncRNA XIST as a novel oncogenic lncRNA in gastric cancer, highlighting its therapeutic role in this disease.

Plant fiber-reinforced polylactic acid (PLA) composites are extensively utilized in eco-friendly packaging, sports equipment, and various other applications due to their environmental benefits and cost-effectiveness. However, PLA suffers from brittleness and poor toughness, which restricts its use in scenarios demanding high toughness. To expand the application range of plant fiber-reinforced PLA-based composites and enhance their poor toughness, this study employed a two-step process involving wheat straw fiber (WF) to improve the interfacial compatibility between WF and PLA. Additionally, four elastomeric materials-poly (butylene adipate-co-terephthalate) (PBAT), poly (butylene succinate) (PBS), polycaprolactone (PCL), and polyhydroxyalkanoate (PHA)-were incorporated to achieve a mutual reactive interface enhancement and elastomeric toughening. The results demonstrated that Fe3+/TsWF/PLA/PBS exhibited a tensile strength, elongation at break, and impact strength of 34.01 MPa, 14.23 %, and 16.2 kJ/m2, respectively. These values represented a 2.4 %, 86.7 %, and 119 % increase compared to the unmodified composites. Scanning electron microscopy analysis revealed no fiber exposure in the cross-section, indicating excellent interfacial compatibility. Furthermore, X-ray diffraction and differential scanning calorimetry tests confirmed improvements in the crystalline properties of the composites. This work introduces a novel approach for preparing fiber-reinforced PLA-based composites with exceptional toughness and strength.

Wood adhesives are widely used in furniture manufacturing, the construction industry, and the fabrication of the internal components of aircraft, cars, and sports equipment. Therefore, the development of wooden adhesives with high stability, strength, and efficiency is a vital research area. Although most studies have focused on improving the bonding properties of adhesives, achieving direct interface control from wood remains a challenge. This study was designed based on the plant root-driven adhesion method to create a hyperactive-interface self-driven regulated wood capable of spreading adhesive into the wood and inducing crosslinking to improve adhesive strength. A multi-poly silicate network structure with multiple reactive sites was formed through the self-polymerization of sodium silicate and crosslinking with dimethylol dihydroxy ethylene urea (DMDHEU) to achieve densified wood and improve the reactivity of the wood surface and interior. Consequently, the environmentally friendly polyvinyl acetate (PVAc) underwent a self-driven bonding process with the wood. These findings indicate that PVAc penetrated the interior of the wood, disrupting the combination of sodium silicate and DMDHEU and grafting onto the reactive sites. This process resulted in a tightly bonded interface connection. Consequently, the shear strength increased from 4.4 to 5.5 MPa, and the wood breaking rate increased from 21.00 % to 45.80 %, representing a 25 % and 118.10 % increase, respectively. Moreover, the tensile strength of the wood in longitudinal joints, transverse joints, miter joints, and mortise-tenon joints was assessed. The results revealed that the sodium silicate/DMDHEU-regulated wood (SS/DDRW) exhibited significantly higher adhesive strength than the original wood (OW). Hence, this bionic design represents a simple and efficient strategy for developing wood adhesives.

The astounding success made by artificial intelligence in healthcare and other fields proves that it can achieve human-like performance. However, success always comes with challenges. Deep learning algorithms are data dependent and require large datasets for training. Many junior researchers face a lack of data for a variety of reasons. Medical image acquisition, annotation, and analysis are costly, and their usage is constrained by ethical restrictions. They also require several other resources, such as professional equipment and expertise. That makes it difficult for novice and non-medical researchers to have access to medical data. Thus, as comprehensively as possible, this article provides a collection of medical image datasets with their associated challenges for deep learning research. We have collected the information of approximately 300 datasets and challenges mainly reported between 2007 and 2020 and categorized them into four categories: head and neck, chest and abdomen, pathology and blood, and others. The purpose of our work is to provide a list, as up-to-date and complete as possible, that can be used as a reference to easily find the datasets for medical image analysis and the information related to these datasets.

Traditional wood modification methods often result in the release of harmful substances and energy wastage. This study proposes an efficient and environmentally friendly modification strategy for fast-growing poplar wood. The approach involves polymerizing organic linear molecules within the cell wall to form stitches, thereby enhancing the dimensional stability and mechanical properties of wood and increasing its ability to withstand various environments. Poplar wood specimens were treated via a method that combines heat treatment with acrylic emulsion impregnation. The research findings indicated an improvement in the mechanical properties of poplar wood following the combined treatment. Moreover, poplar wood subjected to this treatment approach exhibited a 35.24 % lower water absorption rate after a 7-day water immersion test, and tangential and radial swelling rates of the wood were reduced by 29.66 % and 45.68 %, respectively. Scanning electron microscopy revealed excellent penetration of acrylic emulsion into wood cells; the emulsion infiltrated the wood and adhered to the cell walls, forming a crosslinked network structure. Analysis of the modification mechanism through X-ray diffraction, Fourier-transform infrared spectroscopy, and X-ray photoelectron spectroscopy showed that the successful infusion of acrylic emulsion compensated for the lower mechanical properties of thermally treated wood, thus improving the utilization value of poplar. The acrylic emulsion is an environmentally friendly and harmless modifier, making the modified wood suitable for various applications, including indoor furniture, logistics, and outdoor facilities. This modification strategy enables efficient resource utilization and provides valuable insights for the sustainable development of the timber industry.