Browse Articles

Semantic-aware breast tumors segmentation network

Outside Back Cover: Electroenzymatic CO ₂ Fixation (Angew. Chem. Int. Ed. 28/2026)

Feasibility of CBCT-based deep learning for predicting 3D soft tissue changes after orthognathic surgery in skeletal class III patients

Selective Synthesis of 7‐/14‐membered Cyclic Carbonates by Temperature Gradient‐Assisted Depolymerization and Preparing High‐Performance Aliphatic Polycarbonate via Controlled Ring‐Opening Polymerization

ABSTRACT CO 2 /epoxide copolymerization and ring‐opening polymerization (ROP) of 6‐membered cyclic carbonate have been widely used to prepare aliphatic polycarbonates (APCs) featuring 2‐ and 3‐carbon spacer, respectively. However, the APCs with longer in‐chain aliphatic spacer (≥ 4‐carbon) were mainly prepared by step‐growth‐polycondensation, which generally suffered from harsh reaction conditions and low degree of control over molecular weight and chain microstructure. Herein, we presented a “temperature gradient‐assisted” depolymerization strategy for selective synthesis of 7‐membered cyclic 1,4‐butylene carbonate (7‐CBC) and its 14‐membered dimer (7‐CBC) 2 . By using a highly active (amidoalkyl)pyridine–phenolate aluminum as catalsyt, both 7‐CBC and (7‐CBC) 2 underwent rapid ring‐opening polymerization to afford poly(1,4‐butylene carbonate) (PBC) with tailored molecular weight (from 27.3 kDa to 208.4 kDa), providing the opportunity to systematically investigate the effects of molecular weight on crystallinity, thermal, mechanical and rheology properties. PBC exhibited much superior mechanical strength and gas barrier property compared to high‐density polyethylene (HDPE), low‐density polyethylene (LDPE), and poly( ε ‐caprolactone) (PCL). This work resolved the synthetic challenges in the traditional step‐growth‐polycondensation and provided a powerful toolbox for developing high‐performance aliphatic polycarbonates.

Unveiling core-collapse supernova progenitors: characterization and physical insights through explainable artificial intelligence

Outside Front Cover: Synergistic Tuning of Structure and Active Phases in Zn─Mn Loaded Carbon Nanofiber Aerogel for High‐Efficiency Desulfurization (Angew. Chem. Int. Ed. 28/2026)

Thermal and energy impacts of mechanical anchors in External Thermal Insulation Composite Systems (ETICS)

DNA‐Induced Entropic Gain Triggers an Allosteric Switch for Biomolecular Condensation of Heat Shock Transcription Factor 1

ABSTRACT The molecular logic of how site‐specific DNA recognition by a transcription factor (TF) is transduced into macroscopic protein condensation remains a fundamental puzzle in chemical biology. Here, we unveil that the structured DNA‐binding domain (DBD) of a TF acts as an entropic switch to regulate the release of the intrinsically disordered region (IDR). Using high‐resolution solution NMR spectroscopy, we demonstrate that DNA binding significantly shifts the conformational equilibrium of the DBD toward a highly dynamic state. This conformational shift allosterically triggers the release of the IDR, thereby promoting macroscopic biomolecular condensation via multivalent interactions between the IDR and other molecules. Our findings define a mechanism of entropy‐driven allostery, providing a structural and thermodynamic basis for how DNA‐encoded information is transduced into macroscopic phase behavior.

Vitamin D3 ameliorates R-loop-induced replication stress and chromosomal instability in MED12-mutant uterine fibroids

Inside Front Cover: Biocompatible Interface for Organic Electrochemical Transistors Enables Bioadhesion and Over‐Swelling Suppression (Angew. Chem. Int. Ed. 28/2026)

Artificial light at night reshapes vertical distributions of lake zooplankton across population and community scales

Abstract Artificial light at night (ALAN) may modify visually mediated interactions in the pelagial, yet field evidence remains scarce. We tested whether moderate-intensity ALAN aggregates planktivorous fish and reshapes zooplankton vertical distributions in a eutrophic lake. During two new-moon campaigns (May and June 2017), we assessed fish aggregation using hydroacoustics and quantified zooplankton across 0–6 m by day, in natural darkness, and under high-pressure sodium illumination. Fish formed dense aggregations in the illuminated epilimnion. Depth-integrated densities showed limited and taxon-specific responses to ALAN, whereas vertical distribution shifted consistently across multiple taxa. Responses were most pronounced in Chaoborus flavicans , which shifted deeper under ALAN, followed by large cladocerans, especially Daphnia longispina , including their gravid females, which showed reduced surface-layer prevalence and deeper nocturnal distributions. Leptodora kindtii occupied intermediate depths. Under ALAN, size-dependent vertical stratification re-emerged at night, partially counteracting nocturnal homogenisation of the upper water column. Differences between campaigns were interpreted as context-dependent variation rather than seasonal effects, but ALAN altered their spatial expression by disproportionately affecting large and reproductive individuals. Together, these results show that ALAN is primarily associated with changes in vertical distribution and predator–prey overlap rather than consistently reducing total zooplankton abundance within the sampled water column.

Holistic insight mechanism of abrasive water jet machining on surface characteristics and dimensional accuracy of Al2017A alloy hybrid composites

Explainable AI for employee turnover prediction: a SHAP-based intelligent analytics approach

Abstract Employee turnover prediction is a critical challenge in human resource management. Existing studies emphasise predictive accuracy but generally treat interpretability as an afterthought, and applications of SHapley Additive exPlanations (SHAP) in this domain typically stop at single-level feature importance without reporting threshold calibration, subgroup fairness, or external validation. This study develops a four-layer SHAP-based explainable analytic protocol that systematically integrates global feature importance, feature effect, pairwise interaction, and local explanation with cohort analysis, with each layer attached to a specific managerial question, and that augments these four layers with threshold calibration, subgroup fairness audit, and cross-dataset external validation as standard reporting modules. Four machine learning models (XGBoost, Random Forest, LightGBM, Logistic Regression) are trained on the IBM HR Analytics benchmark under a leakage-corrected pipeline that places SMOTE inside cross-validation. XGBoost reaches a test-set ROC-AUC (Receiver Operating Characteristic Area Under the Curve) of 0.773 (95% confidence interval 0.716 to 0.828); it is not statistically superior to a Logistic Regression baseline and is selected as the SHAP base learner for its TreeSHAP compatibility and interaction-analysis capability rather than for predictive performance. The dummy-aggregated SHAP top 10 places EnvironmentSatisfaction, JobSatisfaction, StockOptionLevel, OverTime, and MonthlyIncome at the top of the ranking. Threshold sweep, fairness audit (which reveals a substantial age-band recall gap), and external validation on the Saudi Employee Attrition dataset show that the protocol transfers as a method while the specific feature rankings, the OverTime × MonthlyIncome interaction, and the dominant subgroup disparity are dataset-specific and require per-deployment validation. The protocol is positioned as a proof-of-concept analytic framework supported by an explicit responsible-AI discussion rather than as a substantive claim about which features drive turnover in general.

Perceived organizational politics and employees’ innovative behavior: a cross-level joint moderation model

Abstract Although prior research has linked perception of organizational politics (POP) to employees’ innovative behavior (EIB), the cross-level boundary conditions under which political skill and environmental uncertainty jointly shape this relationship remain underexplored. This study investigates the impact of POP on EIB, and introduces political skill (at the individual level) and environmental uncertainty (at the organizational level) to further examine the cross-level boundary conditions, i.e., the interactive effects of individual-level and organizational-level factors. Based on an empirical study of 402 samples from 39 Chinese companies, the results indicated that the POP was negatively related to EIB, and political skill negatively moderated the relations between POP and EIB. Moreover, political skill better reduced the negative impact of POP on EIB in organizations with higher environmental uncertainty. Our findings uncover the constraining mechanism of POP on EIB from a cross-level perspective, focusing specifically on how political skill and environmental uncertainty jointly moderate this relationship. The aim is to uncover the interaction pattern between individual and organizational factors within a behavioral science framework, rather than offering prescriptive managerial guidelines. This study accordingly extends the theoretical scope of research on organizational politics and environmental uncertainty.

Enhancing the stability and quality of black seed oil during storage by incorporating Areca catechu L. powder as a natural antioxidant

Constructing Superionic Heterointerface via Multiphase Engineering to Achieve Stable Oxyhalide‐Based All‐Solid‐State Batteries

ABSTRACT Amorphous oxyhalides attract great interest as solid‐state electrolytes (SSEs) in all‐solid‐state batteries (ASSBs) because of their oxidative stability, low cost, and mechanical deformability. But the limited room‐temperature ionic conductivity and the parasitic reactions on cathode/halide interfaces impede their practical applications. Herein, we adopt a facile multiphase regulation strategy by incorporating ZrB 2 and ZrN into an amorphous 1.3Li 2 O‐ZrCl 4 (LZCO) matrix to simultaneously enhance Li + transport and interfacial stability. ZrB 2 and ZrN regulate the bridging‐oxygen/non‐bridging‐oxygen ratio to promote amorphization and create superionic heterointerfaces, which enables a more continuous Li + conduction network while preserving overall electronic insulation. The multiphase architecture mitigates the interfacial side reactions, improves the interface compatibility due to the formation of B‐O and N‐O bonds, and homogenizes electron transport pathways in the composite cathode. As a result, 1.3Li 2 O‐0.8ZrCl 4 ‐0.1ZrB 2 ‐0.1ZrN (LZCOBN 0.1 ) shows a high room‐temperature ionic conductivity of 2.41 mS cm −1 , compared with 1.3 mS cm −1 for pristine LZCO. ASSBs employing LZCOBN 0.1 and LiNi 0.90 Co 0.05 Mn 0.05 O 2 deliver a high initial capacity of 210 mAh g −1 at 0.1 C and retain 82.7% capacity after 2000 cycles at 3 C, demonstrating ultrahigh cycling stability. This work highlights the potential of phase engineering regulation in developing high‐performance amorphous oxyhalide‐based ASSBs.

The linear association between estimated glomerular filtration rate and diabetic retinopathy: a cross-sectional study

Lattice‐S Regulation of CoOOH Spin State and Surface Microenvironment Enables High‐Activity, High‐Selectivity, Industrial‐Level Electrocatalytic Glycerol Upgrading

ABSTRACT Electrocatalytic upgrading of biomass‐derived glycerol into high value‐added formate presents significant energy and chemical application potential. Herein, an anion‐S modification strategy was employed to precisely modulate the electronic structure and surface chemistry of CoOOH, enabling highly efficient glycerol‐to‐formate (GOR) conversion. The resulting CoOOH‐S catalyst requires only 1.25 and 1.31 V (vs. RHE) to achieve 100 and 500 mA cm −2 , respectively. Moreover, it delivers a formate selectivity and Faradaic efficiency of 96% and 95% at 1.4 V, surpassing most systems reported so far. Notably, under flow‐electrolysis conditions, the CoOOH‐S achieves industrial‐level current densities of 1.0 and 1.5 A cm −2 at merely 2.14 and 2.27 V, and maintains stable operation for over 500 h at  > 500 mA cm −2 . Such GOR activity can be attributed to the modification of S, which disrupts the original octahedral symmetry of CoOOH, induces elongation of the Co─O bond and lattice distortion, and promotes electron redistribution and the presence of unpaired electrons, thereby enhancing electron transport and intrinsic activity. Meanwhile, the lower electronegativity of S strengthens the cooperative adsorption of OH − and glycerol, accelerating dehydrogenation and formate dissociation. This study elucidates the synergistic role of anion doping in regulating proton deintercalation and substrate adsorption on Co‐based catalysts.

A compact texture frequency spatial gating network for oral cancer classification from clinical oral images

Abstract Image-level classification of oral-cavity photographs remains challenging because oral-cancer appearances are heterogeneous and many public datasets lack patient identifiers, acquisition metadata, biopsy confirmation, and lesion-level annotations. This study proposes OCAT-Net-S, a compact hierarchical network for binary classification of Normal versus Oral Cancer from RGB clinical oral images. The model combines a convolutional stem, MBConv blocks, MBConv-SE blocks, and Texture Frequency Spatial Gating (TFSG) blocks to integrate local texture extraction, channel recalibration, and frequency-guided spatial attention within a 3.55 M-parameter architecture. Internal evaluation used the Atef-Kaggle Oral Cancer Images for Classification dataset, containing 1,238 images: 553 Normal and 685 Oral Cancer. Because patient identifiers were unavailable, five-fold stratified group cross-validation with filename-sequential grouping was used as a leakage-reduction proxy and repeated across five seeds. OCAT-Net-S achieved an internal AUC-ROC of 0.956, oral-cancer F1-score of 0.942, and sensitivity of 0.942, compared with AUC-ROC 0.941 for the strongest evaluated baseline, TinyViT-5 M. Validation-only temperature scaling produced a mean Brier score of 0.0419, ECE-15 of 0.0174, and NLL of 0.1798. To reduce overinterpretation from repeated seed runs, fold-level inference was reported, giving an internal AUC-ROC estimate of 0.956 with an approximate 95% CI of 0.940–0.972. External transfer testing was performed without external threshold tuning on two independent settings: SMART-OM Normal-versus-OSCC and the Oral Images Dataset benign-versus-malignant oral-lesion task. AUC-ROC decreased to 0.830 and 0.840, respectively, indicating measurable cross-dataset shift despite partial transferability. Qualitative Grad-CAM visualizations suggested lesion-focused activation patterns, but lesion-level masks were unavailable for quantitative localization validation. Overall, OCAT-Net-S demonstrates compact internal image-level discrimination and limited external transferability; however, the findings do not establish patient-level generalization, prospective clinical validity, clinician-equivalent performance, or deployment readiness.

Microbranching‐Stabilized Dynamic Epoxy Networks for Rapid‐Curing, Mechanically Robust, and Upcyclable Thermosets

ABSTRACT Rapid‐curing epoxy thermosets are highly attractive for scalable composite manufacturing, yet rapid network formation often compromises cure homogeneity, mechanical robustness, and end‐of‐life reuse. Here, we report a microbranching‐stabilized dynamic epoxy network that integrates rapid curing, balanced strength and toughness, and thermoset upcycling. A liquid mixed amine curing agent (Gm‐12) featuring a precisely designed microbranching architecture forms a homogeneous liquid–liquid blend with a commercial epoxy monomer, allowing complete curing within 10 min at 150° C. The resulting epoxy network (DGm‐12) develops a well‐defined microphase‐separated morphology that preserves a high effective crosslink density while introducing dissipative domains, thereby achieving a tensile strength of 88 MPa and a fracture toughness of 3.5 MPa m 1/2 . The incorporation of dynamic ester and disulfide bonds further enables rapid network rearrangement and full reprocessability. Consequently, partially cured or expired prepregs can be reused, fully cured composites can be reshaped, and clean carbon fibers can be recovered through hydrothermal degradation in water. Together, these results establish a design principle for reconciling rapid curing, strong and tough mechanical performance, and composite‐level upcycling in epoxy thermosets.